This research is conducted to examine the factors that influence the behavioural intention of millienials in using SNS when seeking for a job. The data was collected from respondents who are from the generation Y demographic and actively looking for jobs. The respondents must possess some experience in using SNS when job hunting. The data was then gathered and analyzed using partial least square (PLS) which encompasses the measurement and structural models of the study. The findings revealed that three of the constructs as applied in TAM are statistically significant to behavioural intention. The three factors that influenced the job seekers’ intention to use SNSs as a job search tool are; perceived usefulness, perceived ease of use and privacy concerns. All these factors are elements which contribute to and have a significant relationship with job seekers’ intention to use SNSs, as verified using PLS data analysis. The recruiters or employers who intend to adopt SNSs in the recruitment process are advised to design the recruitment plan regarding the utilization of SNSs to be more convenient and user-friendly. This study provides insight and knowledge regarding the impact of technology in online job application and hiring processes.
IRJET- Advanced Labour Finding Web and Android ApplicationIRJET Journal
This document presents a proposed advanced labor finding web and Android application. The application aims to help customers more easily find workers and help workers obtain suitable work throughout the year to improve their financial situation. It allows workers to register and customers to select workers for jobs. When a customer selects a worker, the system notifies an administrator who communicates with the worker. Once work is complete, the worker notifies the administrator to send a bill to the customer. The system architecture includes customers and workers using the Android app while an administrator manages the web part and central database. In conclusion, the document discusses how technology can impact hiring processes by increasing applicant volumes but potentially reducing quality if not coupled with improved screening capabilities.
EMPLOYEE ATTRITION PREDICTION IN INDUSTRY USING MACHINE LEARNING TECHNIQUESIAEME Publication
Companies are always looking for ways to keep their professional personnel on board in order to save money on hiring and training. Predicting whether or not a specific employee would depart will assist the organisation in making proactive decisions. Human resource problems, unlike physical systems, cannot be defined by a scientific-analytical formula. As a result, machine learning approaches are the most effective instruments for achieving this goal. In this study, a feature selection strategy based on a Machine Learning Classifier is proposed to improve classification accuracy, precision, and True Positive Rate while lowering error rates such as False Positive Rate and Miss Rate. Different feature selection techniques, such as Information Gain, Gain Ratio, Chi-Square, Correlation-based, and Fisher Exact test, are analysed with six Machine Learning classifiers, such as Artificial Neural Network, Support Vector Machine, Gradient Boosting Tree, Bagging, Random Forest, and Decision Tree, for the proposed approach. In this study, combining Chi-Square feature selection with a Gradient Boosting Tree classifier improves employee attrition classification accuracy while lowering error rates.
APPLICATIONS OF DEEP LEARNING AND MACHINE LEARNING IN HEALTHCARE DOMAIN – A L...IAEME Publication
Artificial intelligence (AI) has been developing rapidly in recent years in terms of software algorithms, hardware implementation, and applications in a vast number of areas. In this review, we summarize the latest developments of applications of AI in biomedicine, including disease diagnostics, living assistance, biomedical information processing, and biomedical research. Various automated systems and tools like Braincomputer interfaces (BCIs), arterial spin labelling (ASL) imaging, ASL-MRI, biomarkers, Natural language processing (NLP) and various algorithms helps to minimize errors and control disease progression. The computer assisted diagnosis, decision support systems, expert systems and implementation of software may assist physicians to minimize the intra and inter-observer variability. In this paper, a detailed literature review on application and implementation of Machine Learning, Deep Learning and Artificial Intelligence in the healthcare industry by various researchers.
This document describes a proposed Web-Based Applicants' Matching System (WBAMS) that would match suitable job applicants to appropriate jobs. Key points:
- The current manual recruitment process at the Federal College of Chemical and Leather Technology has problems like high workload, lack of information.
- The proposed WBAMS would allow applicants to apply online and store applicant and job data in a central database. It would use criteria to match applicants to jobs and shortlist the most suitable candidates.
- The system would be designed using technologies like MySQL database, Apache web server. A three-tier architecture model is proposed for communication between the database, application logic and user interface layers.
International Journal of Business and Management Invention (IJBMI) inventionjournals
International Journal of Business and Management Invention (IJBMI) is an international journal intended for professionals and researchers in all fields of Business and Management. IJBMI publishes research articles and reviews within the whole field Business and Management, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online
This chapter presents results from analyzing a survey of 310 software professionals from 17 companies in Kochi and Thiruvananthapuram, India. It finds that the majority of respondents are male, aged 25-30, have a technical undergraduate degree, tenure of less than 2 years, and experience under 4 years. It analyzes perceptions of innovative HR practices based on importance, introduction, and satisfaction. Gender does not significantly impact perceptions, but age impacts introduction and satisfaction. Perceptions of importance do not differ by age.
ENHANCING THE HUMAN EMOTION RECOGNITION WITH FEATURE EXTRACTION TECHNIQUESIAEME Publication
This document discusses techniques for enhancing human emotion recognition through feature extraction. It begins by introducing the importance of recognizing human emotions through facial expressions. It then reviews related work applying techniques like deep learning, feature selection, and curriculum learning to emotion recognition. The document goes on to describe optimization techniques like ant colony optimization, particle swarm optimization, and genetic algorithms that can be used for feature extraction. It suggests these techniques may improve emotion recognition performance by selecting important features.
IRJET- Advanced Labour Finding Web and Android ApplicationIRJET Journal
This document presents a proposed advanced labor finding web and Android application. The application aims to help customers more easily find workers and help workers obtain suitable work throughout the year to improve their financial situation. It allows workers to register and customers to select workers for jobs. When a customer selects a worker, the system notifies an administrator who communicates with the worker. Once work is complete, the worker notifies the administrator to send a bill to the customer. The system architecture includes customers and workers using the Android app while an administrator manages the web part and central database. In conclusion, the document discusses how technology can impact hiring processes by increasing applicant volumes but potentially reducing quality if not coupled with improved screening capabilities.
EMPLOYEE ATTRITION PREDICTION IN INDUSTRY USING MACHINE LEARNING TECHNIQUESIAEME Publication
Companies are always looking for ways to keep their professional personnel on board in order to save money on hiring and training. Predicting whether or not a specific employee would depart will assist the organisation in making proactive decisions. Human resource problems, unlike physical systems, cannot be defined by a scientific-analytical formula. As a result, machine learning approaches are the most effective instruments for achieving this goal. In this study, a feature selection strategy based on a Machine Learning Classifier is proposed to improve classification accuracy, precision, and True Positive Rate while lowering error rates such as False Positive Rate and Miss Rate. Different feature selection techniques, such as Information Gain, Gain Ratio, Chi-Square, Correlation-based, and Fisher Exact test, are analysed with six Machine Learning classifiers, such as Artificial Neural Network, Support Vector Machine, Gradient Boosting Tree, Bagging, Random Forest, and Decision Tree, for the proposed approach. In this study, combining Chi-Square feature selection with a Gradient Boosting Tree classifier improves employee attrition classification accuracy while lowering error rates.
APPLICATIONS OF DEEP LEARNING AND MACHINE LEARNING IN HEALTHCARE DOMAIN – A L...IAEME Publication
Artificial intelligence (AI) has been developing rapidly in recent years in terms of software algorithms, hardware implementation, and applications in a vast number of areas. In this review, we summarize the latest developments of applications of AI in biomedicine, including disease diagnostics, living assistance, biomedical information processing, and biomedical research. Various automated systems and tools like Braincomputer interfaces (BCIs), arterial spin labelling (ASL) imaging, ASL-MRI, biomarkers, Natural language processing (NLP) and various algorithms helps to minimize errors and control disease progression. The computer assisted diagnosis, decision support systems, expert systems and implementation of software may assist physicians to minimize the intra and inter-observer variability. In this paper, a detailed literature review on application and implementation of Machine Learning, Deep Learning and Artificial Intelligence in the healthcare industry by various researchers.
This document describes a proposed Web-Based Applicants' Matching System (WBAMS) that would match suitable job applicants to appropriate jobs. Key points:
- The current manual recruitment process at the Federal College of Chemical and Leather Technology has problems like high workload, lack of information.
- The proposed WBAMS would allow applicants to apply online and store applicant and job data in a central database. It would use criteria to match applicants to jobs and shortlist the most suitable candidates.
- The system would be designed using technologies like MySQL database, Apache web server. A three-tier architecture model is proposed for communication between the database, application logic and user interface layers.
International Journal of Business and Management Invention (IJBMI) inventionjournals
International Journal of Business and Management Invention (IJBMI) is an international journal intended for professionals and researchers in all fields of Business and Management. IJBMI publishes research articles and reviews within the whole field Business and Management, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online
This chapter presents results from analyzing a survey of 310 software professionals from 17 companies in Kochi and Thiruvananthapuram, India. It finds that the majority of respondents are male, aged 25-30, have a technical undergraduate degree, tenure of less than 2 years, and experience under 4 years. It analyzes perceptions of innovative HR practices based on importance, introduction, and satisfaction. Gender does not significantly impact perceptions, but age impacts introduction and satisfaction. Perceptions of importance do not differ by age.
ENHANCING THE HUMAN EMOTION RECOGNITION WITH FEATURE EXTRACTION TECHNIQUESIAEME Publication
This document discusses techniques for enhancing human emotion recognition through feature extraction. It begins by introducing the importance of recognizing human emotions through facial expressions. It then reviews related work applying techniques like deep learning, feature selection, and curriculum learning to emotion recognition. The document goes on to describe optimization techniques like ant colony optimization, particle swarm optimization, and genetic algorithms that can be used for feature extraction. It suggests these techniques may improve emotion recognition performance by selecting important features.
ANALYSIS OF FACTORS GOVERNING THE MARKET PRICE OF SHARES FOR SELECTED COMPANI...IAEME Publication
The infrastructure sector has become the biggest focus area for the Government of India. India plans to spend US$ 1.4 trillion on infrastructure during 2019-23 to have a sustainable development of the country. The Government has suggested investment of Rs. 5,000,000 crore (US$ 750 billion) for railways infrastructure between 2018-2030. This paper focuses on the factors governing the market price of the shares in Infrastructure Sector of Companies such as ABB, Abode, Adani, BEML, BHEL. This study has examined the relationship between dependent variables Market Price Per Share (MPS) and independent variables Dividend Per Share (DPS), Earning per Share (EPS), Net Profit Margin (NPM), Return on Equity (ROE) and Return on Assets (ROA). To fulfill this objective the researchers have collected secondary data related to market price and the financial variables of fore said companies. The collected data was analyzed with E-Views and Excel. The research results found that all the financial variables are not having relationship with market price and it has influence in certain aspects.
This power point pres will be useful for all the budding PhD aspirants who are preparing for their viva irrespective of their subject. Good Luck & All the Best !
A STUDY ON PERCEPTION OF INTERNET BANKING USERS SERVICE QUALITY - A STRUCTURA...IAEME Publication
The purpose of the study is to identify the perceptions of Internet banking (IB) users in Tamil Nadu using technology acceptance model (TAM) by incorporating service quality as external variable. The study found that both the TAM variables – perceived ease of use (PEOU) and perceived usefulness (PU). A total of 380 questionnaires were distributed for internet banking customers and 336 were returned (resulting 88.42 percentage of response rate). The results confirm that the all six dimensions (Website attribute, Reliability, Responsiveness, Fulfillment, Efficiency and Privacy) are distinct constructs. The results also indicate that internet banking service quality consisting of six dimensions has appropriate reliability and each dimension has a significant relationship with internet banking service quality. The efficiency of banking website is the important aspect of internet banking service quality. The finding found that the relationship between internet banking service quality, perceived ease of use and perceived usefulness are significant. This study proposes a model to understand the effect of internet banking service quality on perceived ease of use and perceived usefulness in developing country. The constructs truly reflect the dynamism of customers’ banking relationship and a better understanding the attitude on internet banking will help the bankers in implementing more effective marketing strategies.
E Recruitment Process and Organizational Performance A Literature ReviewYogeshIJTSRD
This study examined E recruitment Process and Organizational Performance. The dimensions examined in E recruitment process include E application tracking, E interview, E Selection and E On boarding. Organizational performance was measured in terms of Employee performance, Operational performance, Economic performance and profitability. The aim and objectives of the paper was to determine the influence of E recruitment process and organizational performance by evaluating the influence of E tracking on employee performance, the influence of E interview on operational performance, the influence of E selection on economic performance, the influence of E on boarding on profitability. The study provided an empirical analysis on E recruitment process and Organizational performance. To this end, the paper revealed that E recruitment process is advantageous to organizations and contribute significantly towards the growth of an Organization as the study observed that candidate s recruited using E recruitment are competent and reliable which enhance organizational performance. Therefore the paper recommended that there should be adequate Information Technology in an Organization in other to utilize E recruitment process and the benefit attached to it. There should be adequately trained personnel that can conduct proper E recruitment. E recruitment process should be used to select productive employee s that would enhance organizational performance. Ngozi Dyke-Ebirika "E-Recruitment Process and Organizational Performance: A Literature Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd45086.pdf Paper URL: https://www.ijtsrd.com/management/hrm-and-retail-business/45086/erecruitment-process-and-organizational-performance-a-literature-review/ngozi-dykeebirika
IRJET- Comparative Study of Machine Learning Models for Alzheimer’s Detec...IRJET Journal
This document presents a comparative study of machine learning models for detecting Alzheimer's disease. The study uses MRI data to extract features like brain volume and uses those as inputs to various machine learning models like logistic regression, support vector machines, decision trees, random forests and AdaBoost. The performance of each model is evaluated using metrics like accuracy, sensitivity and specificity. The results show that the random forest model performs the best with the highest prediction rates, indicating it has potential for accurate early detection of Alzheimer's using MRI data.
Workplace automation, cloud computing, robotics, data analytics, digital transformation, etc. have entered the mainstream workforce and will continue to expand in adoption and practice. The questions many are struggling to understand center on the impact of these innovations on the current and future careers of our professional knowledge workers.
Will there be viable employment opportunities for STEM and other professionals’ if machines are utilized to provide more cognitive roles in society? Will the number of available jobs and careers decrease as a result of more machine dependency? How can the human workforce and machines coexist?
This seminar will address the growing trend of machine dependency and its impact on the professional global workforce. We will explore the current state of digital transformation and address the tougher questions involving future career opportunities and professional development strategies in the machine age. We will discuss the future outlook for the knowledge workforce and provide insights on how to prepare and take advantage of this age of digital transformation.
At the end of this seminar, participants will be able to:
a. The future impacts of digital transformation in the professional workplace
b. How to embrace the digital age of disruption and find professional opportunities for advancement
c. The current professional employment gaps and how to transition into a digital savvy professional
d. How to embrace artificial intelligence in the professional work environment
e. How to plan my professional development path to take advantage of digital transformation
This study examined the effects of retailers' mobile advertisements on consumer behavior in Aydin Province, Turkey. A questionnaire was administered to 530 consumers to understand their attitudes toward mobile marketing applications from retailers. The results found that entertainment, informativeness, credibility, benefit, and personalization of mobile ads positively influenced consumers' views of the ads. Regression analysis confirmed that entertainment was the most influential factor on consumers' perspectives. Additional analysis showed that attitudes toward mobile marketing varied based on demographic characteristics such as age, education level, and income. The study provides insight into how retailers can effectively utilize mobile ads to reach target consumer groups.
Research proposal of sohail tariq (ms management science) uol SohailTariq16
This document provides information about a research study investigating the relationship between internal social media usage, employee engagement, organizational citizenship behavior (OCB), and power distance. The study aims to determine if internal social media engagement employees and affects OCB, and if power distance moderates the effects of the relationships between internal social media, employee engagement, and OCB. The document outlines the research questions, theoretical model, literature review on the key constructs, and hypotheses. The proposed methodology will target the service sector population but details of the sampling and data collection are not provided.
KNOWLEDGE, AWARENESS AND PERCEPTION OF HEALTH INSURANCE AMONG INSURED IN A TE...IAEME Publication
The document summarizes a study that assessed the knowledge, awareness, and perception of health insurance among insured patients at a tertiary care hospital in India. The study found that most respondents (92%) were insured, while only 8% were uninsured. It also found that only a few (12%) of insured respondents did not know how much policy coverage was for hospital charges. Additionally, 27% of insured respondents had chosen a health insurance policy to avail good quality treatment. The results indicate that most people are not aware of the process for initiating cashless hospitalization. The study concludes that insurance companies, third-party administrators, and hospitals need to collaborate to address these issues.
This document summarizes a study on the recruitment and selection process of Sai Global Yarntex (India) Private Limited. It provides background on the importance of recruitment and selection for organizations. The objectives of the study were to analyze Sai Global Yarntex's recruitment and selection process and examine employee satisfaction. Primary data was collected through questionnaires with employees. Key findings include that most employees felt the process was good or satisfactory, and they were satisfied with recruitment procedures and selection. The recruitment process was found to be ethical and transparent. Suggestions for improvement included expanding recruitment methods and ensuring selection committees are qualified.
This document proposes a new advanced e-commerce recommendation system that incorporates additional data beyond a user's purchase history to provide improved recommendations. Specifically, it suggests combining a user's search and purchase history with data from social media platforms like Twitter, reviews from sites like Amazon and Snapdeal, the user's location and preferences. This additional data could allow the system to recommend items a user has not previously purchased. It also describes some limitations of existing recommendation systems that only consider purchase history or require clustering users. The proposed system would use clustering and collaborative filtering together to group similar products and then make recommendations based on the evaluations within each cluster to improve accuracy.
The document proposes a framework called TRUE-REPUTATION to calculate trustworthy product reputations from online ratings. It addresses the problem of "false reputations" which can occur when some ratings are intentionally unfair. TRUE-REPUTATION iteratively computes a rating's confidence based on the user's activity, objectivity and consistency, and adjusts the product's reputation accordingly. It determines these factors by analyzing characteristics of reliable information from previous research. The goal is to reduce the impact of unfair ratings while including all ratings to avoid excluding normal users.
INTEGRATION OF IMPORTANCEPERFORMANCE ANALYSIS AND FUZZY DEMATELijcsit
This document discusses integrating importance-performance analysis (IPA) and fuzzy decision making trial and evaluation laboratory (DEMATEL) methods. It proposes a modified IPA model that uses multiple regression analysis to establish relationships between quality attributes and overall satisfaction/importance. It also employs fuzzy DEMATEL to analyze causal relationships and degrees of influence among attributes. This allows modifying attribute importance and improvement priorities based on traditional IPA. An empirical study on a Taiwanese bank illustrates applying the integrated fuzzy DEMATEL-IPA approach.
Research on dynamic effects of employability of vocational college students i...ijcsit
This study used the dynamic scenario simulation of system dynamics to perform simulation on the effects of
education policies, trend of employment demand, and employability qualities of vocational college
graduates on the development of employment demand in Taiwan’s technology industry. According to the
research results, dynamic situational simulation of system dynamics can be used to simulate the effect of
changes in education policy system with time on the development and trend of employment demand in
technology industry. The simulation results of policy scenario showed that the talent shortage in technology
industry should be overcome by improving education policy. The problem of talent shortage cannot be
effectively alleviated until the matching rate between education policy and employment demand reaches
90%. The simulation results of this study can be provided as reference for education policy planners to
improve the employability of vocational college students. It is intended to provide valuable suggestions to
reduce the unemployment rate of vocational college graduates and to substantially reduce the gap between
industries and academia, in order to further enhance Taiwan’s competitiveness in the global economic
system.
International Refereed Journal of Engineering and Science (IRJES)irjes
International Refereed Journal of Engineering and Science (IRJES) is a leading international journal for publication of new ideas, the state of the art research results and fundamental advances in all aspects of Engineering and Science. IRJES is a open access, peer reviewed international journal with a primary objective to provide the academic community and industry for the submission of half of original research and applications
Network relationship is positively correlated with enterprise development and performance, which is an important
basis for studying enterprise development and judging enterprise development situation. In this paper, complex
network theory and methods are used to study enterprise network relationships. Based on graph theory, a graph
model of enterprise network relationships is constructed, and the Laplacian matrix of the graph model is used to
analyze important indicators of network relationships, relationship strength, stability, reciprocity, centrality and other
indicators of numerical analysis methods.
Organization citizenship behaviour as a determining Factor in Business outcomeAI Publications
The aim of this research was to look at an organization's citizenship behavior as a deciding factor in business success. The aim of the study was to assess private businesses in Kurdistan, especially in Erbil. To allow the study to measure business outcomes, the researchers used five different dimensions of organizational citizenship behavior. The current study used a quantitative analysis approach in which a questionnaire was adapted from academic sources. Both workers had an equal chance of being chosen for the survey using a random sampling technique. The research was conducted in Erbil's private sector. The researchers distributed 85 questionnaires, but only 75 were returned, and only 67 of the 75 questionnaires were completed correctly. The researcher used multiple regression analysis to measure the established research hypotheses, and the results revealed that all five hypotheses are supported, with the highest value being for fairness perception, as organization citizenship behavior element has a significant influence on business outcome, and the lowest value being for job satisfaction, as organization citizenship behavior element has a significant influence on business outcome. This instrument will be used in future research to further our understanding of organizational learning.
A Study on Emerging Trends, Methods and Criteria for Effective E Recruitment ...ijtsrd
In recent days there is a rapid growth in the technology and it is advancing day by day. The purpose of this article is to analyse the framework of E Recruitment. It aims at analysing the emerging recent trends in E Recruitment and also the methods of electronic recruitment and the required criteria for effective recruitment. The major change the world is facing in the recent days is digital transformation hence this paper analyses a conceptual frame work of E Recruitment. The organisations in the current days are adapting the technology to easier their long procedure in recruiting and the results are effective. The technological adaption in the organisation has avoided the lengthy process of earlier methods of recruitment. This study also analyses the various methods and criterion for effective E Recruitment strategy. Prof. Rekha D. M | Naveena. N "A Study on Emerging Trends, Methods and Criteria for Effective E-Recruitment in the Organisation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26606.pdfPaper URL: https://www.ijtsrd.com/management/hrm-and-retail-business/26606/a-study-on-emerging-trends-methods-and-criteria-for-effective-e-recruitment-in-the-organisation/prof-rekha-d-m
Examining relationship between service quality, user satisfaction and perform...IJECEIAES
Governments attempt to use all forms of information technologies including Internet and mobile computing to be able to transform relationships with citizens. However, there is a clear gap between the indicator of the impact of technology innovation output and government’s vision in United Arab Emirates (UAE). In this regard, investigating the relationship between service quality, user satisfaction, and performance impact may help the government to mark its current progress and milestone achievement. This research proposed a model based on Delone & McLean IS success model by considering the research context. The modeling of structural equations via PLS (Partial least squares) regression was applied to evaluate the model within the context of public sector in the UAE. The data was collected from a sample of 147 employees in public organizations using a questionnaire. Results demonstrated that the quality of service has a significant effect on user satisfaction. In addition, quality of service and user satisfaction positively influences the staff performance. The outcome of this research helps to enhance the understanding of the impact of smart government applications.
Integrating big data with an agile cloud platform can significantly affect how businesses achieve their
objectives. Many companies are moving to the cloud, but the trust issue seemed to make a move to the
cloud slower. This paper investigated the factors that affect Service Satisfaction that led to Trust. Since the
sample was not normally distributed, the researchers used the PLS-SEM tool to analyse the relationship of
the variables. The variables are Data Security, Data Privacy, Cloud Benefits, Reputation, Service Level
Agreement (SLA), Risk Management, Service Satisfaction and Trust. The variables were linked together
based on the analysis from qualitative research supported by theories, and the linkages were being
validated through quantitative data analysis. The quantitative data analysis found that Data Security, Cloud Benefits, Reputation and SLA influence Service Satisfaction and Service Satisfaction influences trust
Integrating big data with an agile cloud platform can significantly affect how businesses achieve their
objectives. Many companies are moving to the cloud, but the trust issue seemed to make a move to the
cloud slower. This paper investigated the factors that affect Service Satisfaction that led to Trust. Since the
sample was not normally distributed, the researchers used the PLS-SEM tool to analyse the relationship of
the variables. The variables are Data Security, Data Privacy, Cloud Benefits, Reputation, Service Level
Agreement (SLA), Risk Management, Service Satisfaction and Trust. The variables were linked together
based on the analysis from qualitative research supported by theories, and the linkages were being
validated through quantitative data analysis. The quantitative data analysis found that Data Security,
Cloud Benefits, Reputation and SLA influence Service Satisfaction and Service Satisfaction influences trust.
ANALYSIS OF FACTORS GOVERNING THE MARKET PRICE OF SHARES FOR SELECTED COMPANI...IAEME Publication
The infrastructure sector has become the biggest focus area for the Government of India. India plans to spend US$ 1.4 trillion on infrastructure during 2019-23 to have a sustainable development of the country. The Government has suggested investment of Rs. 5,000,000 crore (US$ 750 billion) for railways infrastructure between 2018-2030. This paper focuses on the factors governing the market price of the shares in Infrastructure Sector of Companies such as ABB, Abode, Adani, BEML, BHEL. This study has examined the relationship between dependent variables Market Price Per Share (MPS) and independent variables Dividend Per Share (DPS), Earning per Share (EPS), Net Profit Margin (NPM), Return on Equity (ROE) and Return on Assets (ROA). To fulfill this objective the researchers have collected secondary data related to market price and the financial variables of fore said companies. The collected data was analyzed with E-Views and Excel. The research results found that all the financial variables are not having relationship with market price and it has influence in certain aspects.
This power point pres will be useful for all the budding PhD aspirants who are preparing for their viva irrespective of their subject. Good Luck & All the Best !
A STUDY ON PERCEPTION OF INTERNET BANKING USERS SERVICE QUALITY - A STRUCTURA...IAEME Publication
The purpose of the study is to identify the perceptions of Internet banking (IB) users in Tamil Nadu using technology acceptance model (TAM) by incorporating service quality as external variable. The study found that both the TAM variables – perceived ease of use (PEOU) and perceived usefulness (PU). A total of 380 questionnaires were distributed for internet banking customers and 336 were returned (resulting 88.42 percentage of response rate). The results confirm that the all six dimensions (Website attribute, Reliability, Responsiveness, Fulfillment, Efficiency and Privacy) are distinct constructs. The results also indicate that internet banking service quality consisting of six dimensions has appropriate reliability and each dimension has a significant relationship with internet banking service quality. The efficiency of banking website is the important aspect of internet banking service quality. The finding found that the relationship between internet banking service quality, perceived ease of use and perceived usefulness are significant. This study proposes a model to understand the effect of internet banking service quality on perceived ease of use and perceived usefulness in developing country. The constructs truly reflect the dynamism of customers’ banking relationship and a better understanding the attitude on internet banking will help the bankers in implementing more effective marketing strategies.
E Recruitment Process and Organizational Performance A Literature ReviewYogeshIJTSRD
This study examined E recruitment Process and Organizational Performance. The dimensions examined in E recruitment process include E application tracking, E interview, E Selection and E On boarding. Organizational performance was measured in terms of Employee performance, Operational performance, Economic performance and profitability. The aim and objectives of the paper was to determine the influence of E recruitment process and organizational performance by evaluating the influence of E tracking on employee performance, the influence of E interview on operational performance, the influence of E selection on economic performance, the influence of E on boarding on profitability. The study provided an empirical analysis on E recruitment process and Organizational performance. To this end, the paper revealed that E recruitment process is advantageous to organizations and contribute significantly towards the growth of an Organization as the study observed that candidate s recruited using E recruitment are competent and reliable which enhance organizational performance. Therefore the paper recommended that there should be adequate Information Technology in an Organization in other to utilize E recruitment process and the benefit attached to it. There should be adequately trained personnel that can conduct proper E recruitment. E recruitment process should be used to select productive employee s that would enhance organizational performance. Ngozi Dyke-Ebirika "E-Recruitment Process and Organizational Performance: A Literature Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd45086.pdf Paper URL: https://www.ijtsrd.com/management/hrm-and-retail-business/45086/erecruitment-process-and-organizational-performance-a-literature-review/ngozi-dykeebirika
IRJET- Comparative Study of Machine Learning Models for Alzheimer’s Detec...IRJET Journal
This document presents a comparative study of machine learning models for detecting Alzheimer's disease. The study uses MRI data to extract features like brain volume and uses those as inputs to various machine learning models like logistic regression, support vector machines, decision trees, random forests and AdaBoost. The performance of each model is evaluated using metrics like accuracy, sensitivity and specificity. The results show that the random forest model performs the best with the highest prediction rates, indicating it has potential for accurate early detection of Alzheimer's using MRI data.
Workplace automation, cloud computing, robotics, data analytics, digital transformation, etc. have entered the mainstream workforce and will continue to expand in adoption and practice. The questions many are struggling to understand center on the impact of these innovations on the current and future careers of our professional knowledge workers.
Will there be viable employment opportunities for STEM and other professionals’ if machines are utilized to provide more cognitive roles in society? Will the number of available jobs and careers decrease as a result of more machine dependency? How can the human workforce and machines coexist?
This seminar will address the growing trend of machine dependency and its impact on the professional global workforce. We will explore the current state of digital transformation and address the tougher questions involving future career opportunities and professional development strategies in the machine age. We will discuss the future outlook for the knowledge workforce and provide insights on how to prepare and take advantage of this age of digital transformation.
At the end of this seminar, participants will be able to:
a. The future impacts of digital transformation in the professional workplace
b. How to embrace the digital age of disruption and find professional opportunities for advancement
c. The current professional employment gaps and how to transition into a digital savvy professional
d. How to embrace artificial intelligence in the professional work environment
e. How to plan my professional development path to take advantage of digital transformation
This study examined the effects of retailers' mobile advertisements on consumer behavior in Aydin Province, Turkey. A questionnaire was administered to 530 consumers to understand their attitudes toward mobile marketing applications from retailers. The results found that entertainment, informativeness, credibility, benefit, and personalization of mobile ads positively influenced consumers' views of the ads. Regression analysis confirmed that entertainment was the most influential factor on consumers' perspectives. Additional analysis showed that attitudes toward mobile marketing varied based on demographic characteristics such as age, education level, and income. The study provides insight into how retailers can effectively utilize mobile ads to reach target consumer groups.
Research proposal of sohail tariq (ms management science) uol SohailTariq16
This document provides information about a research study investigating the relationship between internal social media usage, employee engagement, organizational citizenship behavior (OCB), and power distance. The study aims to determine if internal social media engagement employees and affects OCB, and if power distance moderates the effects of the relationships between internal social media, employee engagement, and OCB. The document outlines the research questions, theoretical model, literature review on the key constructs, and hypotheses. The proposed methodology will target the service sector population but details of the sampling and data collection are not provided.
KNOWLEDGE, AWARENESS AND PERCEPTION OF HEALTH INSURANCE AMONG INSURED IN A TE...IAEME Publication
The document summarizes a study that assessed the knowledge, awareness, and perception of health insurance among insured patients at a tertiary care hospital in India. The study found that most respondents (92%) were insured, while only 8% were uninsured. It also found that only a few (12%) of insured respondents did not know how much policy coverage was for hospital charges. Additionally, 27% of insured respondents had chosen a health insurance policy to avail good quality treatment. The results indicate that most people are not aware of the process for initiating cashless hospitalization. The study concludes that insurance companies, third-party administrators, and hospitals need to collaborate to address these issues.
This document summarizes a study on the recruitment and selection process of Sai Global Yarntex (India) Private Limited. It provides background on the importance of recruitment and selection for organizations. The objectives of the study were to analyze Sai Global Yarntex's recruitment and selection process and examine employee satisfaction. Primary data was collected through questionnaires with employees. Key findings include that most employees felt the process was good or satisfactory, and they were satisfied with recruitment procedures and selection. The recruitment process was found to be ethical and transparent. Suggestions for improvement included expanding recruitment methods and ensuring selection committees are qualified.
This document proposes a new advanced e-commerce recommendation system that incorporates additional data beyond a user's purchase history to provide improved recommendations. Specifically, it suggests combining a user's search and purchase history with data from social media platforms like Twitter, reviews from sites like Amazon and Snapdeal, the user's location and preferences. This additional data could allow the system to recommend items a user has not previously purchased. It also describes some limitations of existing recommendation systems that only consider purchase history or require clustering users. The proposed system would use clustering and collaborative filtering together to group similar products and then make recommendations based on the evaluations within each cluster to improve accuracy.
The document proposes a framework called TRUE-REPUTATION to calculate trustworthy product reputations from online ratings. It addresses the problem of "false reputations" which can occur when some ratings are intentionally unfair. TRUE-REPUTATION iteratively computes a rating's confidence based on the user's activity, objectivity and consistency, and adjusts the product's reputation accordingly. It determines these factors by analyzing characteristics of reliable information from previous research. The goal is to reduce the impact of unfair ratings while including all ratings to avoid excluding normal users.
INTEGRATION OF IMPORTANCEPERFORMANCE ANALYSIS AND FUZZY DEMATELijcsit
This document discusses integrating importance-performance analysis (IPA) and fuzzy decision making trial and evaluation laboratory (DEMATEL) methods. It proposes a modified IPA model that uses multiple regression analysis to establish relationships between quality attributes and overall satisfaction/importance. It also employs fuzzy DEMATEL to analyze causal relationships and degrees of influence among attributes. This allows modifying attribute importance and improvement priorities based on traditional IPA. An empirical study on a Taiwanese bank illustrates applying the integrated fuzzy DEMATEL-IPA approach.
Research on dynamic effects of employability of vocational college students i...ijcsit
This study used the dynamic scenario simulation of system dynamics to perform simulation on the effects of
education policies, trend of employment demand, and employability qualities of vocational college
graduates on the development of employment demand in Taiwan’s technology industry. According to the
research results, dynamic situational simulation of system dynamics can be used to simulate the effect of
changes in education policy system with time on the development and trend of employment demand in
technology industry. The simulation results of policy scenario showed that the talent shortage in technology
industry should be overcome by improving education policy. The problem of talent shortage cannot be
effectively alleviated until the matching rate between education policy and employment demand reaches
90%. The simulation results of this study can be provided as reference for education policy planners to
improve the employability of vocational college students. It is intended to provide valuable suggestions to
reduce the unemployment rate of vocational college graduates and to substantially reduce the gap between
industries and academia, in order to further enhance Taiwan’s competitiveness in the global economic
system.
International Refereed Journal of Engineering and Science (IRJES)irjes
International Refereed Journal of Engineering and Science (IRJES) is a leading international journal for publication of new ideas, the state of the art research results and fundamental advances in all aspects of Engineering and Science. IRJES is a open access, peer reviewed international journal with a primary objective to provide the academic community and industry for the submission of half of original research and applications
Network relationship is positively correlated with enterprise development and performance, which is an important
basis for studying enterprise development and judging enterprise development situation. In this paper, complex
network theory and methods are used to study enterprise network relationships. Based on graph theory, a graph
model of enterprise network relationships is constructed, and the Laplacian matrix of the graph model is used to
analyze important indicators of network relationships, relationship strength, stability, reciprocity, centrality and other
indicators of numerical analysis methods.
Organization citizenship behaviour as a determining Factor in Business outcomeAI Publications
The aim of this research was to look at an organization's citizenship behavior as a deciding factor in business success. The aim of the study was to assess private businesses in Kurdistan, especially in Erbil. To allow the study to measure business outcomes, the researchers used five different dimensions of organizational citizenship behavior. The current study used a quantitative analysis approach in which a questionnaire was adapted from academic sources. Both workers had an equal chance of being chosen for the survey using a random sampling technique. The research was conducted in Erbil's private sector. The researchers distributed 85 questionnaires, but only 75 were returned, and only 67 of the 75 questionnaires were completed correctly. The researcher used multiple regression analysis to measure the established research hypotheses, and the results revealed that all five hypotheses are supported, with the highest value being for fairness perception, as organization citizenship behavior element has a significant influence on business outcome, and the lowest value being for job satisfaction, as organization citizenship behavior element has a significant influence on business outcome. This instrument will be used in future research to further our understanding of organizational learning.
A Study on Emerging Trends, Methods and Criteria for Effective E Recruitment ...ijtsrd
In recent days there is a rapid growth in the technology and it is advancing day by day. The purpose of this article is to analyse the framework of E Recruitment. It aims at analysing the emerging recent trends in E Recruitment and also the methods of electronic recruitment and the required criteria for effective recruitment. The major change the world is facing in the recent days is digital transformation hence this paper analyses a conceptual frame work of E Recruitment. The organisations in the current days are adapting the technology to easier their long procedure in recruiting and the results are effective. The technological adaption in the organisation has avoided the lengthy process of earlier methods of recruitment. This study also analyses the various methods and criterion for effective E Recruitment strategy. Prof. Rekha D. M | Naveena. N "A Study on Emerging Trends, Methods and Criteria for Effective E-Recruitment in the Organisation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26606.pdfPaper URL: https://www.ijtsrd.com/management/hrm-and-retail-business/26606/a-study-on-emerging-trends-methods-and-criteria-for-effective-e-recruitment-in-the-organisation/prof-rekha-d-m
Examining relationship between service quality, user satisfaction and perform...IJECEIAES
Governments attempt to use all forms of information technologies including Internet and mobile computing to be able to transform relationships with citizens. However, there is a clear gap between the indicator of the impact of technology innovation output and government’s vision in United Arab Emirates (UAE). In this regard, investigating the relationship between service quality, user satisfaction, and performance impact may help the government to mark its current progress and milestone achievement. This research proposed a model based on Delone & McLean IS success model by considering the research context. The modeling of structural equations via PLS (Partial least squares) regression was applied to evaluate the model within the context of public sector in the UAE. The data was collected from a sample of 147 employees in public organizations using a questionnaire. Results demonstrated that the quality of service has a significant effect on user satisfaction. In addition, quality of service and user satisfaction positively influences the staff performance. The outcome of this research helps to enhance the understanding of the impact of smart government applications.
Integrating big data with an agile cloud platform can significantly affect how businesses achieve their
objectives. Many companies are moving to the cloud, but the trust issue seemed to make a move to the
cloud slower. This paper investigated the factors that affect Service Satisfaction that led to Trust. Since the
sample was not normally distributed, the researchers used the PLS-SEM tool to analyse the relationship of
the variables. The variables are Data Security, Data Privacy, Cloud Benefits, Reputation, Service Level
Agreement (SLA), Risk Management, Service Satisfaction and Trust. The variables were linked together
based on the analysis from qualitative research supported by theories, and the linkages were being
validated through quantitative data analysis. The quantitative data analysis found that Data Security, Cloud Benefits, Reputation and SLA influence Service Satisfaction and Service Satisfaction influences trust
Integrating big data with an agile cloud platform can significantly affect how businesses achieve their
objectives. Many companies are moving to the cloud, but the trust issue seemed to make a move to the
cloud slower. This paper investigated the factors that affect Service Satisfaction that led to Trust. Since the
sample was not normally distributed, the researchers used the PLS-SEM tool to analyse the relationship of
the variables. The variables are Data Security, Data Privacy, Cloud Benefits, Reputation, Service Level
Agreement (SLA), Risk Management, Service Satisfaction and Trust. The variables were linked together
based on the analysis from qualitative research supported by theories, and the linkages were being
validated through quantitative data analysis. The quantitative data analysis found that Data Security,
Cloud Benefits, Reputation and SLA influence Service Satisfaction and Service Satisfaction influences trust.
Classification and visualization: Twitter sentiment analysis of Malaysia’s pr...IAESIJAI
Malaysia has many private’s hospitals. Thus, feedback is important to improve service quality, becoming reviews for other patients. Reviews use the channel service provided on social media, such as Twitter. Nevertheless, online reviews are unstructured and enormous in volume, which leads to difficulties in comparing private hospitals. In addition, no single websites compare private hospitals based on users’ interests, bilingual reviews, and less time-consuming. Due to that, this study aims to classify and visualize the Twitter sentiment analysis of private hospitals in Malaysia. The scope focuses on five factors: 1) administrative procedure, 2) cost, 3) communication, 4) expertise, and 5) service. Term frequency-inverse document frequency is used for text mining, information retrieval techniques, and the Naïve Bayes, a machine learning algorithm for the classification. The user can visualize the specified state’s private hospitals and compare them with any selected state. The system’s functionality and usability have been tested to ensure it meets the objectives. Functionality testing proved that the private hospital’s Twitter sentiment could be predicted based on the training and testing data as intended, with 77.13% and 77.96% accuracy for English and Bahasa Melayu, respectively, while the system usability scale based on the usability testing resulted in an average final score of 95.42%.
Identification of important features and data mining classification technique...IJECEIAES
Employees absenteeism at the work costs organizations billions a year. Prediction of employees’ absenteeism and the reasons behind their absence help organizations in reducing expenses and increasing productivity. Data mining turns the vast volume of human resources data into information that can help in decision-making and prediction. Although the selection of features is a critical step in data mining to enhance the efficiency of the final prediction, it is not yet known which method of feature selection is better. Therefore, this paper aims to compare the performance of three well-known feature selection methods in absenteeism prediction, which are relief-based feature selection, correlation-based feature selection and information-gain feature selection. In addition, this paper aims to find the best combination of feature selection method and data mining technique in enhancing the absenteeism prediction accuracy. Seven classification techniques were used as the prediction model. Additionally, cross-validation approach was utilized to assess the applied prediction models to have more realistic and reliable results. The used dataset was built at a courier company in Brazil with records of absenteeism at work. Regarding experimental results, correlationbased feature selection surpasses the other methods through the performance measurements. Furthermore, bagging classifier was the best-performing data mining technique when features were selected using correlation-based feature selection with an accuracy rate of (92%).
Mediating Effects of Social Media on the Relationship between Human Skill and...inventionjournals
This study examines the mediating effects of social media on the relationship between human skills and competitive advantage in Sri Lankan star hotels. A survey was conducted of 331 executive officers in Sri Lankan star hotels. The results found positive correlations between human skills (including IT knowledge and top management commitment), social media utilization, and competitive advantage. Statistical analysis showed social media has a mediating effect on the relationships between human skills and various dimensions of competitive advantage, including customer satisfaction, organizational performance, and more. Therefore, the study provides empirical evidence that social media can help mediate the impact of human skills on gaining a competitive advantage for hotels.
CRESUS: A TOOL TO SUPPORT COLLABORATIVE REQUIREMENTS ELICITATION THROUGH ENHA...cscpconf
Communicating an organisation's requirements in a semantically consistent and understandable manner and then reflecting the potential impact of those requirements on the IT infrastructure presents a major challenge among stakeholders. Initial research findings indicate a desire among business executives for a tool that allows them to communicate organisational changes using natural language and a simulation of the IT infrastructure that supports those changes. Building on a detailed analysis and evaluation of these findings, the innovative CRESUS tool was designed and implemented. The purpose of this research was to investigate to what extent CRESUS both aids communication in the development of a shared understanding and supports collaborative requirements elicitation to bring about organisational, and associated IT infrastructural, change. This paper presents promising results that show how such a tool can facilitate collaborative requirements elicitation through increased communication around organisational change and the IT infrastructure.
The document contains summaries of several research papers related to information technology and its applications in business and education. The papers discuss topics like ERP systems in organizations, ICT adoption in SMEs, using ERP and JIT together, cloud-based learning systems, modeling ICT facilities in higher education, and the potential of social media in supply chain management. One paper specifically analyzes student perceptions of service facilities and their impact on satisfaction at a university.
The E-HRM technology supports the HR function through web technology based channels. E-HRM is a good way of implementing HR strategies, policies, and practices in organizations through a continuous and directed support by full use of web-technology-based channels and networks. The main objective of the study was to focus on the attitude of employees towards using E-HRM. For this purpose the investigator selected 50 employees working in IT sector in Delhi and Bangalore. Convenient sampling technique was used to collect the data. The collected data were processed by
applying ‘t’ test. The result of the study revealed that there was no significant difference between employees for E-HRM.
This document discusses e-recruitment practices in Malaysia. It begins with an introduction to e-recruitment and how it has been adopted by government agencies in Malaysia. It then discusses traditional recruitment methods and compares them to e-recruitment. The pros of e-recruitment include reaching a large target audience, being cost effective, and saving time. However, the cons include possible discrimination of groups without computer access and difficulties recruiting executive-level positions. The document provides examples of e-recruitment systems used by the Malaysian government.
MINING DISCIPLINARY RECORDS OF STUDENT WELFARE AND FORMATION OFFICE: AN EXPLO...IJITCA Journal
This document discusses using data mining techniques like decision trees and CHAID algorithms to analyze disciplinary records from a university's Student Welfare and Formation Office. It aims to identify relationships between student demographics and offense categories to develop an efficient remediation plan. The study uses Data Envelopment Analysis to evaluate the efficiency of different colleges in minimizing student offenses. Classification decision trees and CHAID analysis identify that most students commit minor offenses regardless of attributes like gender or year level. The results will inform a Student Offenses Remediation System to efficiently address issues and improve university services.
MINING DISCIPLINARY RECORDS OF STUDENT WELFARE AND FORMATION OFFICE: AN EXPLO...IJITCA Journal
Data mining is the process of analyzing large datasets, understanding their patterns and discovering useful
information from a large amount of data. Decision tree as one of the common algorithm of data mining is a
tree structure entailing of internal and terminal nodes which process the data to eventually produce a
classification. Classification is the process of dividing a dataset together in a high-class set such that the
members of each set are nearby as expected to one another, and different groups are as far as expected
from one another, where distance is measured with respect to the specific variable(s) you are trying to
predict. Data Envelopment Analysis is a technique wherein the productivity of a unit is evaluated by
equating the volume/amount of output(s) in relation to the volume/amount of input(s) used. The
performance of a unit is calculated by equating its efficiency with the best-perceived performance in the
data set. In this study, a model for measuring the efficiency of Decision Making Units will be presented,
along with related methods of implementation and interpretation. DEA assesses and evaluates the
efficiency of a unit dubbed as Decision-Making Units or DMU. There are many classification techniques
and algorithms but the research study used decision tree using CHAID algorithms. Classification decision
tree algorithm using CHAID as data mining technique identifies the relationship between the demographic
profile of the students and the category of offenses. Cross tabulation is a tool used to analyze categorical
data. It is a type of table in a matrix format that shows the multivariate occurrence dissemination of the
variables and delivers a basic picture of the interrelation between two variables. Both CHAID algorithm
and cross tabulation obtained the same results implying that higher percentage of students commit minor
offenses regardless of college, gender, year level, month and course. The CHAID algorithm used in a
software application Student Offenses Remediation System (STORES) serves as remediation plan for the
university. Further studies should be conducted to identify the effectiveness of the remediation plan by
conducting an empirical investigation on the rule set and/or implement another algorithm to determine the
program efficiency.
A study model on the impact of various indicators in the performance of stude...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Higher education institutions now a days are operating in an increasingly complex and
competitive environment. The application of innovation is a must for sustaining its competitive advantage.
Institution leaders are using data management and analytics to question the status quo and develop effective
solutions. Achieving these insights and information requires not a single report from a single system, but
rather the ability to access, share, and explore institution-wide data that can be transformed into meaningful
insights at every level of the institution. Consequently, institutions are facing problems in providing necessary
information technology support for fulfilling excellence in performance. More specifically, the best practices
of big data management and analytics need to be considered within higher education institutions. Therefore,
the study aimed at investigating big data and analytics, in terms of: (1) definition; (2) its most important
principles; (3) models; and (4) benefits of its use to fulfill performance excellence in higher education
institutions. This involves shedding light on big data and analytics models and the possibility of its use in
higher education institutions, and exploring the effect of using big data and analytics in achieving performance
excellence. To reach these objectives, the researcher employed a qualitative research methodology for
collecting and analyzing data. The study concluded the most important result, that there is a significant
relationship between big data and analytics and excellence of performance as big data management and
analytics mainly aims at achieving tasks quickly with the least effort and cost. These positive results support
the use of big data and analytics in institutions and improving knowledge in this field and providing a practical
guide adaptable to the institution structure. This paper also identifies the role of big data and analytics in
institutions of higher education worldwide and outlines the implementation challenges and opportunities in the
education industry.
ow-a-days data volumes are growing rapidly in several domains. Many factors have contributed to this growth, including inter alia proliferation of observational devices, miniaturization of various sensors ,improved logging and tracking of systems, and improvements in the quality and capacity of both disk storage and networks .Analyzing such data provides insights that can be used to guide decision making. To be effective, analysis must be timely and cope with data scales. The scale of the data and the rates at which they arrive make manual inspection infeasible. As an educational management tool, predictive analytics can help and improve the quality of education by letting decision makers address critical issues such as enrollment management and curriculum Development. This paper presents an analytical study of this approach’s prospects for education planning. The goals of predictive analytics are to produce relevant information, actionable insight, better outcomes, and smarter decisions, and to predict future events by analyzing the volume, veracity, velocity, variety, value of large amounts of data and interactive exploration.
Combining Two Models of Successful Information System MeasurementTELKOMNIKA JOURNAL
This paper purposes is to measure successful of Academic Advisory information system by combining two models of information system measurement. DeLone & McLean IS Success Model use to measure the successful of system while COBIT framework is to measure system maturity level. Result of this research showed that the successful of Academic Advisory IS affected by User Satifaction, Quality of Service, Quality of System while Maturity level at 3.7. The result also showed there’s a relation between level of maturity system with the success of system.
This document presents an enhanced recruitment portal developed for an engineering school to connect students with job opportunities. It describes the system's functions for job suggestions based on students' skills and application matching to aid employers. The system is intended to be useful for both students exploring jobs and employers finding qualified candidates. It discusses the system's architecture with three main agents: students, businesses, and an administrator. Students can search and apply for jobs, while businesses can post openings and filter applications. The administrator verifies businesses and monitors overall system activity. The goal is to streamline the traditional recruitment process and provide equal opportunities for students to find suitable positions.
A new fuzzy dematel todim hybrid method for evaluation criteria of knowledge ...ijmvsc
Knowledge management (KM) adoption in the supply chain network needs a good investment as well as
few changes in the culture of the entire SC. Knowledge management is the process of creating,
distributing and transferring information. The goal of this study is to Rank KM criteria in supply chain
network in Iran which is important for firms these days. Criterion used in this paper were extracted from
the literature review and were confirmed by supply chain experts. The proposed approach for ranking and
finding out about these criterion is hybrid fuzzy DEMATEL-TODIM, with using fuzzy number as data for
our studies we could avoid uncertainty. The data was gathered from PhD. And Ms. Students in industrial
engineering of Kharrazmi university of Tehran and PhD. And Ms. Students of the management department
of Semnan university. A new hybrid approach was used for achieving the results of this study. This new
hybrid approach ranks data criteria respect to each other, then by using TODIM for ranking respect to
the best situation (gains), the rates of criterion were determined which is a very important advantage.
The development of information and communication technology (ICT) during the era of the fourth industrial revolution, the impact of the COVID-19 pandemic in 2020, and the government’s call for large-scale social restrictions have led to the emergence of online learning systems (OLS) in higher education. This study develops a measurement model for the success of OLS based on the DeLone & McLean model. Surveys were conducted on a sample of 175 students from domestic and international universities. Data processing used the partial least squares structural equation modeling or PLS-SEM method, and root cause analysis. The results show that platform quality has a positive influence on OLS success, whether mediated by user satisfaction or OLS usage. Social influence has a positive effect on OLS success, mediated by OLS usage. User computer anxiety has a negative effect on OLS success, mediated by user satisfaction. Recommendations to improve OLS success include adjusting internet package rates to make them more affordable, improving signal strength to various locations for better coverage, limiting the number of users in one learning session for more effective OLS, and the need for organizational support in using the right applications.
Similar to Millennials and the use of social networking sites as a job searching tool (20)
Square transposition: an approach to the transposition process in block cipherjournalBEEI
The transposition process is needed in cryptography to create a diffusion effect on data encryption standard (DES) and advanced encryption standard (AES) algorithms as standard information security algorithms by the National Institute of Standards and Technology. The problem with DES and AES algorithms is that their transposition index values form patterns and do not form random values. This condition will certainly make it easier for a cryptanalyst to look for a relationship between ciphertexts because some processes are predictable. This research designs a transposition algorithm called square transposition. Each process uses square 8 × 8 as a place to insert and retrieve 64-bits. The determination of the pairing of the input scheme and the retrieval scheme that have unequal flow is an important factor in producing a good transposition. The square transposition can generate random and non-pattern indices so that transposition can be done better than DES and AES.
Hyper-parameter optimization of convolutional neural network based on particl...journalBEEI
The document proposes using a particle swarm optimization (PSO) algorithm to optimize the hyperparameters of a convolutional neural network (CNN) for image classification. The PSO algorithm is used to find optimal values for CNN hyperparameters like the number and size of convolutional filters. In experiments on the MNIST handwritten digit dataset, the optimized CNN achieved a testing error rate of 0.87%, which is competitive with state-of-the-art models. The proposed approach finds optimized CNN architectures automatically without requiring manual design or encoding strategies during training.
Supervised machine learning based liver disease prediction approach with LASS...journalBEEI
In this contemporary era, the uses of machine learning techniques are increasing rapidly in the field of medical science for detecting various diseases such as liver disease (LD). Around the globe, a large number of people die because of this deadly disease. By diagnosing the disease in a primary stage, early treatment can be helpful to cure the patient. In this research paper, a method is proposed to diagnose the LD using supervised machine learning classification algorithms, namely logistic regression, decision tree, random forest, AdaBoost, KNN, linear discriminant analysis, gradient boosting and support vector machine (SVM). We also deployed a least absolute shrinkage and selection operator (LASSO) feature selection technique on our taken dataset to suggest the most highly correlated attributes of LD. The predictions with 10 fold cross-validation (CV) made by the algorithms are tested in terms of accuracy, sensitivity, precision and f1-score values to forecast the disease. It is observed that the decision tree algorithm has the best performance score where accuracy, precision, sensitivity and f1-score values are 94.295%, 92%, 99% and 96% respectively with the inclusion of LASSO. Furthermore, a comparison with recent studies is shown to prove the significance of the proposed system.
A secure and energy saving protocol for wireless sensor networksjournalBEEI
The research domain for wireless sensor networks (WSN) has been extensively conducted due to innovative technologies and research directions that have come up addressing the usability of WSN under various schemes. This domain permits dependable tracking of a diversity of environments for both military and civil applications. The key management mechanism is a primary protocol for keeping the privacy and confidentiality of the data transmitted among different sensor nodes in WSNs. Since node's size is small; they are intrinsically limited by inadequate resources such as battery life-time and memory capacity. The proposed secure and energy saving protocol (SESP) for wireless sensor networks) has a significant impact on the overall network life-time and energy dissipation. To encrypt sent messsages, the SESP uses the public-key cryptography’s concept. It depends on sensor nodes' identities (IDs) to prevent the messages repeated; making security goals- authentication, confidentiality, integrity, availability, and freshness to be achieved. Finally, simulation results show that the proposed approach produced better energy consumption and network life-time compared to LEACH protocol; sensors are dead after 900 rounds in the proposed SESP protocol. While, in the low-energy adaptive clustering hierarchy (LEACH) scheme, the sensors are dead after 750 rounds.
Plant leaf identification system using convolutional neural networkjournalBEEI
This paper proposes a leaf identification system using convolutional neural network (CNN). This proposed system can identify five types of local Malaysia leaf which were acacia, papaya, cherry, mango and rambutan. By using CNN from deep learning, the network is trained from the database that acquired from leaf images captured by mobile phone for image classification. ResNet-50 was the architecture has been used for neural networks image classification and training the network for leaf identification. The recognition of photographs leaves requested several numbers of steps, starting with image pre-processing, feature extraction, plant identification, matching and testing, and finally extracting the results achieved in MATLAB. Testing sets of the system consists of 3 types of images which were white background, and noise added and random background images. Finally, interfaces for the leaf identification system have developed as the end software product using MATLAB app designer. As a result, the accuracy achieved for each training sets on five leaf classes are recorded above 98%, thus recognition process was successfully implemented.
Customized moodle-based learning management system for socially disadvantaged...journalBEEI
This study aims to develop Moodle-based LMS with customized learning content and modified user interface to facilitate pedagogical processes during covid-19 pandemic and investigate how teachers of socially disadvantaged schools perceived usability and technology acceptance. Co-design process was conducted with two activities: 1) need assessment phase using an online survey and interview session with the teachers and 2) the development phase of the LMS. The system was evaluated by 30 teachers from socially disadvantaged schools for relevance to their distance learning activities. We employed computer software usability questionnaire (CSUQ) to measure perceived usability and the technology acceptance model (TAM) with insertion of 3 original variables (i.e., perceived usefulness, perceived ease of use, and intention to use) and 5 external variables (i.e., attitude toward the system, perceived interaction, self-efficacy, user interface design, and course design). The average CSUQ rating exceeded 5.0 of 7 point-scale, indicated that teachers agreed that the information quality, interaction quality, and user interface quality were clear and easy to understand. TAM results concluded that the LMS design was judged to be usable, interactive, and well-developed. Teachers reported an effective user interface that allows effective teaching operations and lead to the system adoption in immediate time.
Understanding the role of individual learner in adaptive and personalized e-l...journalBEEI
Dynamic learning environment has emerged as a powerful platform in a modern e-learning system. The learning situation that constantly changing has forced the learning platform to adapt and personalize its learning resources for students. Evidence suggested that adaptation and personalization of e-learning systems (APLS) can be achieved by utilizing learner modeling, domain modeling, and instructional modeling. In the literature of APLS, questions have been raised about the role of individual characteristics that are relevant for adaptation. With several options, a new problem has been raised where the attributes of students in APLS often overlap and are not related between studies. Therefore, this study proposed a list of learner model attributes in dynamic learning to support adaptation and personalization. The study was conducted by exploring concepts from the literature selected based on the best criteria. Then, we described the results of important concepts in student modeling and provided definitions and examples of data values that researchers have used. Besides, we also discussed the implementation of the selected learner model in providing adaptation in dynamic learning.
Prototype mobile contactless transaction system in traditional markets to sup...journalBEEI
1) Researchers developed a prototype contactless transaction system using QR codes and digital payments to support physical distancing during the COVID-19 pandemic in traditional markets.
2) The system allows sellers and buyers in traditional markets to conduct fast, secure transactions via smartphones without direct cash exchange. Buyers scan sellers' QR codes to view product details and make e-wallet payments.
3) Testing showed the system's functions worked properly and users found it easy to use and useful for supporting contactless transactions and digital transformation of traditional markets. However, further development is needed to increase trust in digital payments for users unfamiliar with the technology.
Wireless HART stack using multiprocessor technique with laxity algorithmjournalBEEI
The use of a real-time operating system is required for the demarcation of industrial wireless sensor network (IWSN) stacks (RTOS). In the industrial world, a vast number of sensors are utilised to gather various types of data. The data gathered by the sensors cannot be prioritised ahead of time. Because all of the information is equally essential. As a result, a protocol stack is employed to guarantee that data is acquired and processed fairly. In IWSN, the protocol stack is implemented using RTOS. The data collected from IWSN sensor nodes is processed using non-preemptive scheduling and the protocol stack, and then sent in parallel to the IWSN's central controller. The real-time operating system (RTOS) is a process that occurs between hardware and software. Packets must be sent at a certain time. It's possible that some packets may collide during transmission. We're going to undertake this project to get around this collision. As a prototype, this project is divided into two parts. The first uses RTOS and the LPC2148 as a master node, while the second serves as a standard data collection node to which sensors are attached. Any controller may be used in the second part, depending on the situation. Wireless HART allows two nodes to communicate with each other.
Implementation of double-layer loaded on octagon microstrip yagi antennajournalBEEI
This document describes the implementation of a double-layer structure on an octagon microstrip yagi antenna (OMYA) to improve its performance at 5.8 GHz. The double-layer consists of two double positive (DPS) substrates placed above the OMYA. Simulation and experimental results show that the double-layer configuration increases the gain of the OMYA by 2.5 dB compared to without the double-layer. The measured bandwidth of the OMYA with double-layer is 14.6%, indicating the double-layer can increase both the gain and bandwidth of the OMYA.
The calculation of the field of an antenna located near the human headjournalBEEI
In this work, a numerical calculation was carried out in one of the universal programs for automatic electro-dynamic design. The calculation is aimed at obtaining numerical values for specific absorbed power (SAR). It is the SAR value that can be used to determine the effect of the antenna of a wireless device on biological objects; the dipole parameters will be selected for GSM1800. Investigation of the influence of distance to a cell phone on radiation shows that absorbed in the head of a person the effect of electromagnetic radiation on the brain decreases by three times this is a very important result the SAR value has decreased by almost three times it is acceptable results.
Exact secure outage probability performance of uplinkdownlink multiple access...journalBEEI
In this paper, we study uplink-downlink non-orthogonal multiple access (NOMA) systems by considering the secure performance at the physical layer. In the considered system model, the base station acts a relay to allow two users at the left side communicate with two users at the right side. By considering imperfect channel state information (CSI), the secure performance need be studied since an eavesdropper wants to overhear signals processed at the downlink. To provide secure performance metric, we derive exact expressions of secrecy outage probability (SOP) and and evaluating the impacts of main parameters on SOP metric. The important finding is that we can achieve the higher secrecy performance at high signal to noise ratio (SNR). Moreover, the numerical results demonstrate that the SOP tends to a constant at high SNR. Finally, our results show that the power allocation factors, target rates are main factors affecting to the secrecy performance of considered uplink-downlink NOMA systems.
Design of a dual-band antenna for energy harvesting applicationjournalBEEI
This report presents an investigation on how to improve the current dual-band antenna to enhance the better result of the antenna parameters for energy harvesting application. Besides that, to develop a new design and validate the antenna frequencies that will operate at 2.4 GHz and 5.4 GHz. At 5.4 GHz, more data can be transmitted compare to 2.4 GHz. However, 2.4 GHz has long distance of radiation, so it can be used when far away from the antenna module compare to 5 GHz that has short distance in radiation. The development of this project includes the scope of designing and testing of antenna using computer simulation technology (CST) 2018 software and vector network analyzer (VNA) equipment. In the process of designing, fundamental parameters of antenna are being measured and validated, in purpose to identify the better antenna performance.
Transforming data-centric eXtensible markup language into relational database...journalBEEI
eXtensible markup language (XML) appeared internationally as the format for data representation over the web. Yet, most organizations are still utilising relational databases as their database solutions. As such, it is crucial to provide seamless integration via effective transformation between these database infrastructures. In this paper, we propose XML-REG to bridge these two technologies based on node-based and path-based approaches. The node-based approach is good to annotate each positional node uniquely, while the path-based approach provides summarised path information to join the nodes. On top of that, a new range labelling is also proposed to annotate nodes uniquely by ensuring the structural relationships are maintained between nodes. If a new node is to be added to the document, re-labelling is not required as the new label will be assigned to the node via the new proposed labelling scheme. Experimental evaluations indicated that the performance of XML-REG exceeded XMap, XRecursive, XAncestor and Mini-XML concerning storing time, query retrieval time and scalability. This research produces a core framework for XML to relational databases (RDB) mapping, which could be adopted in various industries.
Key performance requirement of future next wireless networks (6G)journalBEEI
The document provides an overview of the key performance indicators (KPIs) for 6G wireless networks compared to 5G networks. Some of the major KPIs discussed for 6G include: achieving data rates of up to 1 Tbps and individual user data rates up to 100 Gbps; reducing latency below 10 milliseconds; supporting up to 10 million connected devices per square kilometer; improving spectral efficiency by up to 100 times through technologies like terahertz communications and smart surfaces; and achieving an energy efficiency of 1 pico-joule per bit transmitted through techniques like wireless power transmission and energy harvesting. The document outlines how 6G aims to integrate terrestrial, aerial and maritime communications into a single network to provide ubiquitous connectivity with higher
Noise resistance territorial intensity-based optical flow using inverse confi...journalBEEI
This paper presents the use of the inverse confidential technique on bilateral function with the territorial intensity-based optical flow to prove the effectiveness in noise resistance environment. In general, the image’s motion vector is coded by the technique called optical flow where the sequences of the image are used to determine the motion vector. But, the accuracy rate of the motion vector is reduced when the source of image sequences is interfered by noises. This work proved that the inverse confidential technique on bilateral function can increase the percentage of accuracy in the motion vector determination by the territorial intensity-based optical flow under the noisy environment. We performed the testing with several kinds of non-Gaussian noises at several patterns of standard image sequences by analyzing the result of the motion vector in a form of the error vector magnitude (EVM) and compared it with several noise resistance techniques in territorial intensity-based optical flow method.
Modeling climate phenomenon with software grids analysis and display system i...journalBEEI
This study aims to model climate change based on rainfall, air temperature, pressure, humidity and wind with grADS software and create a global warming module. This research uses 3D model, define, design, and develop. The results of the modeling of the five climate elements consist of the annual average temperature in Indonesia in 2009-2015 which is between 29oC to 30.1oC, the horizontal distribution of the annual average pressure in Indonesia in 2009-2018 is between 800 mBar to 1000 mBar, the horizontal distribution the average annual humidity in Indonesia in 2009 and 2011 ranged between 27-57, in 2012-2015, 2017 and 2018 it ranged between 30-60, during the East Monsoon, the wind circulation moved from northern Indonesia to the southern region Indonesia. During the west monsoon, the wind circulation moves from the southern part of Indonesia to the northern part of Indonesia. The global warming module for SMA/MA produced is feasible to use, this is in accordance with the value given by the validate of 69 which is in the appropriate category and the response of teachers and students through a 91% questionnaire.
An approach of re-organizing input dataset to enhance the quality of emotion ...journalBEEI
The purpose of this paper is to propose an approach of re-organizing input data to recognize emotion based on short signal segments and increase the quality of emotional recognition using physiological signals. MIT's long physiological signal set was divided into two new datasets, with shorter and overlapped segments. Three different classification methods (support vector machine, random forest, and multilayer perceptron) were implemented to identify eight emotional states based on statistical features of each segment in these two datasets. By re-organizing the input dataset, the quality of recognition results was enhanced. The random forest shows the best classification result among three implemented classification methods, with an accuracy of 97.72% for eight emotional states, on the overlapped dataset. This approach shows that, by re-organizing the input dataset, the high accuracy of recognition results can be achieved without the use of EEG and ECG signals.
Parking detection system using background subtraction and HSV color segmentationjournalBEEI
Manual system vehicle parking makes finding vacant parking lots difficult, so it has to check directly to the vacant space. If many people do parking, then the time needed for it is very much or requires many people to handle it. This research develops a real-time parking system to detect parking. The system is designed using the HSV color segmentation method in determining the background image. In addition, the detection process uses the background subtraction method. Applying these two methods requires image preprocessing using several methods such as grayscaling, blurring (low-pass filter). In addition, it is followed by a thresholding and filtering process to get the best image in the detection process. In the process, there is a determination of the ROI to determine the focus area of the object identified as empty parking. The parking detection process produces the best average accuracy of 95.76%. The minimum threshold value of 255 pixels is 0.4. This value is the best value from 33 test data in several criteria, such as the time of capture, composition and color of the vehicle, the shape of the shadow of the object’s environment, and the intensity of light. This parking detection system can be implemented in real-time to determine the position of an empty place.
Quality of service performances of video and voice transmission in universal ...journalBEEI
The universal mobile telecommunications system (UMTS) has distinct benefits in that it supports a wide range of quality of service (QoS) criteria that users require in order to fulfill their requirements. The transmission of video and audio in real-time applications places a high demand on the cellular network, therefore QoS is a major problem in these applications. The ability to provide QoS in the UMTS backbone network necessitates an active QoS mechanism in order to maintain the necessary level of convenience on UMTS networks. For UMTS networks, investigation models for end-to-end QoS, total transmitted and received data, packet loss, and throughput providing techniques are run and assessed and the simulation results are examined. According to the results, appropriate QoS adaption allows for specific voice and video transmission. Finally, by analyzing existing QoS parameters, the QoS performance of 4G/UMTS networks may be improved.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
The CBC machine is a common diagnostic tool used by doctors to measure a patient's red blood cell count, white blood cell count and platelet count. The machine uses a small sample of the patient's blood, which is then placed into special tubes and analyzed. The results of the analysis are then displayed on a screen for the doctor to review. The CBC machine is an important tool for diagnosing various conditions, such as anemia, infection and leukemia. It can also help to monitor a patient's response to treatment.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Millennials and the use of social networking sites as a job searching tool
1. Bulletin of Electrical Engineering and Informatics
Vol. 9, No. 1, February 2020,pp. 292~297
ISSN: 2302-9285,DOI: 10.11591/eei.v9i1.1718 292
Journal homepage: http://beei.org
Millennials and the use of social networking sites as a job
searching tool
Zarina Denan, Zarina Abdul Munir, Nurul Hazzira Fadzil, Kardina Kamaruddin,
Mohd Redhuan Dzulkifli
Faculty of Business Management Universiti Teknologi MARA Cawangan Selangor, Kampus Puncak Alam,
42300 Bandar Puncak Alam, Selangor, Malaysia
Article Info ABSTRACT
Article history:
Received Aug 21, 2019
Revised Oct 24, 2019
Accepted Nov 30, 2019
This research is conducted to examine the factors that influence
the behavioural intention of millienials in using SNS when seeking for a job.
The data was collected from respondents who are from the generation
Y demographic and actively looking for jobs. The respondents must possess
some experience in using SNS when job hunting. The data was then gathered
and analyzed using partial least square (PLS) which encompasses
the measurement and structural models of the study. The findings revealed
that three of the constructs as applied in TAM are statistically significant
to behavioural intention. The three factors that influenced the job seekers’
intention to use SNSs as a job search tool are; perceived usefulness,
perceived ease of use and privacy concerns. All these factors are elements
which contribute to and have a significant relationship with job seekers’
intention to use SNSs, as verified using PLS data analysis. The recruiters
or employers who intend to adopt SNSs in the recruitment process
are advised to design the recruitment plan regarding the utilization of SNSs
to be more convenient and user-friendly. This study provides insight
and knowledge regarding the impact of technology in online job application
and hiring processes.
Keywords:
Behaviouralintention
Gen Y
Perceive usefulness
Perceived ease of use
Privacy concerns
Social networking
Theory of technology
acceptance
This is an open access article under the CC BY-SA license.
Corresponding Author:
Zarina Denan,
Faculty of Business Management,
Universiti Teknologi MARA Cawangan Selangor,
KampusPuncak Alam, 42300 BandarPuncak Alam, Selangor, Malaysia.
Email: ZarinaDenan2516@outlook.com
1. INTRODUCTION
Recruitment is a crucial component of the human resource management (HRM) department in any
organization.Recruitment involves seeking out, engaging and assessing potentialemployees suited to various
roles within the organization. It is tremendously difficult to discover and obtain such candidates,
and this requires human resource (HR) managers to apply different tactics in the efforts to recruit workers.
These days, recruitment processes can be conducted conventionally or through e-recruitment systems,
which function through information technology tools. Conventional recruitment approaches include putting
advertisements in newspapers regarding vacant positions, utilizing executive search firms, and engaging
recruitment agencies which refer relevant employees to the organization [1-5]. The development
of technology has enabled all these methods to be carried out via e-recruitment or other Internet-based job
application services.
2. Bulletin of Electr Eng & Inf ISSN: 2302-9285
Millennialsand the use of social networking sites as a job searching tool (Zarina Denan)
293
The age of e-recruitment has significantly changed the recruitment process as a whole.
However, older recruitment approaches should not be discarded entirely, but used in ways that complement
electronic-based methods. According to Kaur new technology must not fully replace traditional processes,
which can function to compensate for the flaws of electronic systems and foster a quick and effective
recruitment process [6].
Social networking sites (SNSs) are among the most popular online platforms in current times.
It is extensively utilized by HR managers and job seekers due to its convenience and efficiency. One can use
SNSs in order to seek out available vacancies in organizations, particularly through career-centric sites like
LinkedIn [7]. The organization can also reach a wide range of potentialemployees with various qualifications
and competencies [8]. Additionally, with well-structured and organized processes, SNSs can aid a firm
in saving expenses and ensuring that the recruitment approach is less time-consuming, by cutting down
on the period needed for processing information [9]. In order to enhance the quality of the job applications,
it is presumed that someone who utilizes e-recruitment options is already computer literate and capable
of working with new technology.
The yearly worldwide survey, the Kelly Global Workforce Index (KGWI), is conducted
by the renowned recruitment firm, Kelly Services, and referred to in a report in the Malay Mail. This survey
discovered that Malaysians rank far above the regional average rate in terms of individuals using SNSs
as a platform for job seeking, as opposed to traditional methods. This encompasses 67 per cent of the total
number of 5,147 respondents. Additionally, 62 per cent of respondents also described being approached
with offers for vacant positions on social networking sites, and another 28 per cent also claim that the job
offerseventually led to successful employment.
Despite this, in [10] asserts that SNSs cannot be an effective method for recruitment processes
because it does nothing to enhance the recruiter’s powers of judgement and discernment. Kilpatrick also
argues that SNSs as a platform is not capable of facilitating the huge number of relationships between
potentialemployeesand employers. Reiners proposes that the success of SNSs in the recruitment process can
be achieved by ensuring that everyone involved is aware of the social dynamics in creating and engaging
with social media profiles. As such, the concept of the technology acceptance model (TAM) is adopted
as the foundation used in order to better comprehend the function of social networking sites as recruitment
aids. The researcher explores elements including ease of use, perceived usefulness, and issues regarding
privacy. Thus, the objective of the current study is to examine the intentions of generation Y to utilize SNSs
asa job seeking tool.
2. METHODOLOGY
Data was gathered from 188 respondents who are part of generation Y and are in the process
of looking for work. The respondents must have a degree of experience in utilizing SNS within th eir job
search efforts. The instrument for perceived ease of use and perceived usefulness were derived from [11-15].
Other items such as privacy concerns were derived while behavioural intention was derived from [16].
The items were tested through a five point Likert scale where 1=strongly disagree and 5=strongly agree.
The data was gathered and analyzed through partial least square (PLS) which examines the structural model
and measurement modelof the study.
3. RESULTS AND DISCUSSION
3.1. Measurement model
Convergent validity describes the extent to which multiple items are capable of measuring the same
concept. In [17] states that the evaluation of a measurement model involves composite reliability (CR),
factor loadings, and average variance extracted (AVE). This is shown in Table 1. The acceptable value for
loadings must exceed 0.5 while the CR must be over 0.7. Based on the results, the eight items of behavioral
intention (CR=0.891, AVE=0.541), four items of perceived ease of use (CR=0.808, AVE=0.517), four items
of privacy concerns (CR=0.801, AVE=0.503), and four items of perceived usefulness (CR=0.891,
AVE=0.541) all exhibit that the values of factor loading, composite reliability and AVE exceeded the
acceptable values. Some items were removed as a result of low factor loading. These are the items EOU2,
EOU3, EOU6 and EOU7, fouritems of privacy1,privacy2,privacy 4, privacy5,and one item of BI1.
After verifying the convergent validity, the process to evaluate the discriminant validity using
the [18] approach was carried out. Amin, Thurasamy, Aldakhil and Kaswuri explain discriminant validity
as the item which differentiates between constructs, and is applied to testing items through the process
of comparing the AVE with squared correlations values, or comparing the square root of the AVE with
correlations values. The correlation values in the diagonal sections must exceed the values within
3. ISSN: 2302-9285
Bulletin of Electr Eng & Inf, Vol. 9, No. 1, February 2020 : 292 – 297
294
the columns and rows of that construct. When these conditions are met, the measures can be considered
discriminant. Table 2 shows the difference in correlation values amongthe constructs, which were discovered
to exceed the values of the row and column. As such, the data in this study was cleared of any problems
related to discriminant validity. Figure 1 shows measurement model.
Table 1. Convergent validity
Constructs Items Outer Loading CompositeReliability Average VarianceExtracted(AVE)
Behavioral Intention
BI_1 0.83 0.891 0.541
BI_2 0.779
BI_3 0.638
BI_4 0.709
BI_5 0.648
BI_6 0.715
BI_8 0.808
Perceived Ease ofUse
EOU_1 0.642 0.808 0.517
EOU_4 0.803
EOU_5 0.607
EOU_8 0.8
Privacy Concerns
Privacy_3 0.698 0.801 0.503
Privacy_6 0.819
Privacy_7 0.641
Privacy_8 0.666
Perceived Usefulness
Useful_1 0.596 0.888 0.503
Useful_2 0.782
Useful_3 0.746
Useful_4 0.639
Useful_5 0.726
Useful_6 0.536
Useful_7 0.806
Useful_8 0.792
** Items deleted EOU2,EOU3, EOU6, EOU7,privacy1, privacy2, privacy4,privacy5, BI1 due to lower factorloading
Table 2. Discriminant validity
Constructs 1 2 3 4
1.Behavioral Intention 0.736
2.PerceivedEase ofUse 0.656 0.719
3.PerceivedUsefulness 0.567 0.466 0.709
4.Privacy Concerns 0.285 0.182 0.23 0.709
Figure 1. Measurement model
4. Bulletin of Electr Eng & Inf ISSN: 2302-9285
Millennialsand the use of social networking sites as a job searching tool (Zarina Denan)
295
3.2. Structural model
In the structural model, the value of R square is 0.532 which represents how 53.2 percent
of behavioural intention among the job seekers can be accounted by perceived ease of use, perceived
usefulness and privacy concerns. The beta coefficient in this research has indicated that there is a positive
relationship between perceived ease of use (β=0.489, std=0.054), perceived usefulness (β=0.310, std=0.069)
and privacy concerns (β=0.124, std=0.047). Additionally, the beta values revealed that only privacy concerns
had a low relationship with behavioural intention (as the beta values are lower than 0.1) whereas perceived
of ease and perceived usefulness were moderately correlated to behavioural intention. More analysis
was conducted to investigate the significance of the relationship, examine the t-values results and perform
bootstrapping procedures on 500 samples. The t-values must exceed 1.96 where significance values must
be under 0.01. Table 3 shows that perceived ease of use (t=9.111, p<0.01), perceived usefulness (t=4.484,
p<0.01) and privacy concerns (t=2.625, p<0.01) are statistically significant in relation to behavioural
intention. In addition to that, perceived ease of use was found to be in a medium effect (f 2=0.396), while low
effect is reflected in perceived usefulness (f2=0.156), and privacy concerns (0.031), which are in alignment
with the recommendations from Cohen. Thus, hypothesis 1, hypothesis 2 and hypothesis 3 were supported
for this study. Figure 2 shows structural model.
Table 3. Structural validity
Relationship
Standard
Beta
Standard
Error
T-values P Values F Square LL UL
Perceived Ease ofUse -> Behavioral Intention 0.489 0.054 9.111 p<0.01 0.396 0.382 0.615
Perceived Usefulness -> Behavioral Intention 0.31 0.069 4.484 p<0.01 0.156 0.139 0.443
Privacy Concerns -> Behavioral Intention 0.124 0.047 2.625 p<0.01 0.031 0.047 0.212
Figure 2. Structuralmodel
The findings also indicate that the users consider the content, form and functionality of the websites
to be convenient and easily comprehended.This is attributed to how simple the sites are to navigate and how
promptly users are able to find relevant information or perform necessary tasks. Finally, the degree of control
held by the users when utilizing a website or app also contributes to its usability. Comparative studies
conducted highlighted that a considerable amount of existing research which adopted the TAM model
discovered a positive relationship between perceived ease of use and the individual behavioural intention
to utilize a system or application.This is consistent with the results discussed above.
In terms of privacy concerns, the low effect results are attributed to the possibility that employers
using SNSs as a recruitment platform will be capable of accessing applicants’ social media profiles
in an effort to screen them or gather more information. This can happen when applications are reviewed
and employers seek out the candidates’ profiles. This poses a risk to employment in the case where recruiters
may decide that some information they have found reveals the applicant to be an unsuitable selection.
However, access to knowledge regarding the applicants’ values and attachments to various social
and professional groups can assist recruiters in discerning whether or not the candidate is a good match
for the job position and the organization as a whole [18-25].
5. ISSN: 2302-9285
Bulletin of Electr Eng & Inf, Vol. 9, No. 1, February 2020 : 292 – 297
296
4. CONCLUSION
This study hasexpanded on existing research regarding online consumerbehaviourby incorporating
online recruitment tools into its scope. The study investigated the factors which impact the intention of job
seekers to utilize SNSs as a platform to access work opportunities. The assessments in this study
are contingent upon the TAM established by Davis in 1986. The three factors which influenced the job
seekers’ intention to utilize SNSs as a job seeking tool are perceived ease of use, perceived usefulness, and
privacy concerns. Each factorhasbeen verified as a meaningfulcomponent in job seekers’ intention to utilize
SNSs, and have significant relationships with job seekers’ intention as validated by PLS data analysis.
In terms of the implications of this study, employers who intend to incorporate SNSs
in the recruitment process must ensure that the design is convenient and any applications involved are easy
to use. For example, employers should include links to job applications on SNSs which link
to the organization’s corporate page. This ensures that potential candidates can quickly and conveniently
submit an application. The recruiters or employers can also incorporate interactive elements in SNSs so that
potential candidates for the positions are able to conduct discussions or ask questions directly to
representatives from the recruiting party. Finally, an organization intending to utilize SNSs in the recruitment
process must establish policies which dictate the ethics and guidelines related to screening and social
engagement with potential employees through the Internet. This process should begin with increasing
the organization’s knowledge regarding social networking. It is suggested that employees involved
in recruitment be given relevant training. In this way information gathered in the recruitment process will be
managed more responsibly and precisely. Organizations should also make the effort to keep the company’s
sites and pages up-to-date so that any information or questions from candidates can be handled quickly
and efficiently.
Job seekers should take the initiative to ensure that their SNS accounts are free of information
or content which they would not want a potentialrecruiter to see. These include personal information,photos
and status updates or comments. Job seekers should also ensure that the personal information they choose
to feature on SNS is accurate and updated.It is also suggested that they make connections and network with
various online communities relevant to their field. Suggestions and recommendations from contacts on sites
such as LinkedIn can also be a good resource for references regarding job vacancies and opportunities.
The study findings indicate that the issue of privacy is concerning to many job seekers. The organization
must be careful in cases where job applications are submitted online. The employees involved in recruitment
must undergo the relevant training and education.This is imperative for establishing confidence and sincerity
in the relationship between both parties during the recruitment process, and can result in the best possible
outcomesforthe hiring organization and its potentialemployees.
ACKNOWLEDGEMENTS
This research was supported by BESTARI Grant of Universiti Teknologi MARA, Malaysia
(BESTARI 600-IRMI/SSP/DANA 5/3/BESTARI (00025/2016).
REFERENCES
[1] N. Allden, and L. Harris, “Building a positive candidate experience: Towards a networked model of e-recruitment,”
Journal of Business Strategy, vol. 34, no. 5, pp. 36-47, 2013.
[2] J. Cohen, “Statistical power analysis for the behavioral sciences,” Hillsdale, NJ: Lawrence Erlbaum, 1988.
[3] F. D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS
Quarterly, vol. 13, no. 3, pp. 319-340, 1989.
[4] R. Doherty, “Getting social with recruitment,” Strategic HR Review, vol. 9, no. 6, pp. 11-15, 2010.
[5] M. Fishbein, and I. Ajzen, “Belief, attitude, intention and behavior: An introduction to theory and research,”
Massachusetts: Addison-Wesley Publishing Company, 1975.
[6] C. Fornell, and D. F. Larcker, “Evaluating structural equation models with unobservable variables and
measurement error,” Journal of Marketing Research, vol. 18, no. 1, pp. 39-50, 1981.
[7] P. Guriting, and N. O. Ndubisi, “Borneo online banking: Evaluating customer perceptions and behavioural
intention,” Management Research News, Vol. 29, no. 1/2, pp. 6-15, 2006.
[8] J. F. Hair, W. C. Black, B. J. Babin, and R. E. Anderson, “Multivariate data analysis: A global perspective,” New
Jersey, Pearson Prentice Hall, 2010.
[9] P. Kaur, “E-recruitment: A conceptual study,” International Journal of Applied Research, vol. 1, no. 8,
pp. 78-82, 2015.
[10] R. Kilpatrick, “Social media - a panacea or recruitment?,” The Structural Engineer, pp. 38-39, 2013.
[11] M. Amin, R. Thurasamy, A. M. Aldakhil, and A. H. B. Kaswuri, “The effect of market orientation as a mediating
variable in the relationship between entrepreneurial orientation and SMEs performance,” Nankai Business Review
International, vol. 7, no. 1, pp. 39-59, 2016.
6. Bulletin of Electr Eng & Inf ISSN: 2302-9285
Millennialsand the use of social networking sites as a job searching tool (Zarina Denan)
297
[12] M. Plummer, “Job Seeking and Job Application in Social Networking Sites: Predicting Job Seekers' Behavioral
Intentions, in Information Systems,” New Jersey Institute of Technology, 2010.
[13] N. Rakholiya, and C. Gupta, “A study on the applicant’s perception towards e-recruitment,” International
Multidisciplinary Journal of Applied Research, vol. 1, no. 1, pp. 50-53, 2013.
[14] T. Ramayah, Y. I. Chin, M. S. Norazah, and I. Amlus, “Determinants of intention to use an online bill payment
system among MBA students,” E-Business, vol. 9, pp. 80-91, 2005.
[15] T. A. Reiners, “Social network Perception Alignment of E-recruiters and Potential Applicants,” 46th Hawaii
International Conference on System Sciences, pp. 4576-4585, 2013.
[16] Social media the new job-hunting ground, survey show. from
http://www.themalaymailonline.com/malaysia/article/social-media-the-new-job-hunting-ground-survey-shows.
Date accesed: 02/11/2016
[17] P. Söyrilä, “Students’ perceptions and usage of social media for job seeking in the hospitalitu industry,”
Thesis paper, Haaga-Helia University of Applied Sciences, 2012.
[18] J. M. Stopfer, and S. D. Gosling, Online Social Networks in the Work Context. In D. Derks & A. Bakker (Eds.),
“The psychology of digital media at work”. London: Psychology Press, 2013.
[19] D. Mirabbasi, M. Parvin, H. Javid, “A Comparison of Several Approaches to Load Frequency Control of Multi
Area Hydro-Thermal System,” UCT Journal of Research in Science, Engineering and Technology,
vol. 3, no. 4, pp. 24-30, 2015.
[20] V. Sakthive, P. V. Kesaven, J. Martin William, & S. K. Madan Kumar, “Integrated platform and response system
For healthcare using Alexa,” International Journal of Communication and Computer Technologies, vol. 7, no. 1,
pp, 14-22, 2019.
[21] Rauf, S., Kalim, I., & Mubeen, M. Impact of Electronic Media on Pakistan’s Security. Global Social Sciences
Review,vol. III, no. I, pp. 434-446, 2018.
[22] Mukrimah Nawir, Amiza Amir, Naimah Yaakob, Ong Bi Lynn, “Effective and efficient network anomaly detection
system using machine learning algorithm,” Bulletin of Electrical Engineering and Informatics (BEEI), vol 8, no. 1,
pp. 46-51, 2019.
[23] Siti Rohani Tajuddin, S. N. Azemi, P. J. Soh, C.B.M. Rashidi, A Abdullah Al-Hadi, “Analysis and design of
directive antenna using frequency selective surface superstrate,” Indonesian Journal of Electrical Engineering and
Computer Science (IJEECS), vol. 14, no. 2, 529-536, 2019.
[24] M. Saleem, F. A. Khan, & A. Zaman, “Wh-Movement Pattern in the Spoken Discourse of Teachers A Syntactic
Analysis,” Global Social Sciences Review, vol. III, no. II, pp. 400-420, 2018.
[25] C. Carreto, D. Gêgo, & L. Figueiredo, “An Eye-gaze Tracking System for Teleoperation of a Mobile Robot,”
Journal of Information Systems Engineering & Management, vol. 3, no. 2, pp. 16, 2018.