The document summarizes a research paper that proposes a decision support system for a telecom company. It discusses:
1) Using a fuzzy inference system to estimate the chances of customers porting out based on their loyalty and satisfaction levels.
2) Clustering customers using RFM analysis and demographic variables to segment them.
3) The benefits of decision support systems for telecom companies, including optimizing tariff plans and identifying at-risk customers.
This document discusses the limitations of relying solely on data systems of record for customer engagement and service delivery. Systems of record only contain historical transaction data and do not consider real-time data, incomplete data, or data from other sources which are important for customer service. Additionally, systems of record are not well-suited for managing back-office staff. The document argues that companies need an omnichannel engagement strategy that leverages both systems of record and systems of engagement.
This document discusses the importance of having a robust technical support strategy to mitigate the risks and costs of downtime. It begins by outlining how downtime can negatively impact organizations through a "ripple effect" as business processes have become increasingly dependent on integrated IT systems. It then presents IBM's framework for a comprehensive technical support strategy covering people, processes, and technology. The document advocates conducting an assessment of an organization's current support maturity level and developing a roadmap to prioritize improvements. Finally, it argues that a managed support solution through a third party can help optimize support more cost-effectively across an organization's entire IT environment.
Unit 1 Introduction to MIS, MIS & Data Mining , MIS & Decision MakingAsmita Singh
this presentation highlights the role and need of MIS. it also includes the data flow within databses, datawarehouses and datamarts. It includes the functions of OLAP AND OLTP. It briefs about how data gets converted into information called as data mining. Further sections include different kinds of MIS management levels and managers . Then the outputs of MIS in the form of MIS reports have been illustrated with diagrams. in the later section, MIS and decision making has been discussed in details. concept of SWOT ANALYSIS and Cost benefit analysis has also been described . Structured, Unstructured and semi-structured decisions have also been discussed in detail.
This document discusses how organizations can better link decisions and information to improve organizational performance. It identifies three levels of linking information and decisions: loosely coupled, structured human decisions, and automated decisions. The document provides examples of each approach, such as creating a financial data mart to loosely inform various financial decisions, using analytics and decision process structuring to improve targeted decisions like pricing, and automating operational decisions through embedded rules and algorithms. The goal is to optimize how information supports and improves decision making at all levels of the organization.
The compelling business drivers for the hosted contact center approachWest Interactive
The document discusses the compelling business drivers for hosted contact centers. It summarizes industry trends showing strong growth in hosted contact centers. The top benefits of hosted contact centers are no upfront capital costs, lower total cost of ownership, flexibility to scale up or down easily, and access to the latest technologies. The document also provides an example of how West Interactive implemented a successful hosted contact center solution for a wireless company that improved customer service and reduced costs.
This document discusses a proposed system called TICOS (Treatment Information and Cost Optimization System) to address issues with decision uncertainty and the compromise effect for patients making health care decisions in India. It begins with background on existing health information systems and literature on decision making. It then outlines the existing challenges with variability in quality and costs across providers and lack of standardized information. The proposed TICOS system would provide patients complete information on treatment options and costs to improve transparency and decision making. It would be integrated across hospitals in a region through regulatory bodies. The goal is to help patients make more informed, optimized choices to get the best treatment within their means and reduce decision uncertainty.
The Business Value of Commvault Software IDC 2016 US40773815Charles Uprichard
This document summarizes the results of a survey conducted by IDC of 722 Commvault customers. The survey found that Commvault customers reported significant benefits in three categories: simplification, risk reduction, and productivity gains. Commvault customers simplified their IT environments through reduced costs, staffing needs, and complexity. They reduced risks through lower downtime, improved data protection and recovery capabilities. Commvault also provided productivity gains by improving IT staff efficiency and organizational productivity overall. Key findings included 42-52% lower annual costs, 55% less downtime, 66-217% greater data coverage, and 63-73% lower risks of compliance failures or data loss.
This document discusses the limitations of relying solely on data systems of record for customer engagement and service delivery. Systems of record only contain historical transaction data and do not consider real-time data, incomplete data, or data from other sources which are important for customer service. Additionally, systems of record are not well-suited for managing back-office staff. The document argues that companies need an omnichannel engagement strategy that leverages both systems of record and systems of engagement.
This document discusses the importance of having a robust technical support strategy to mitigate the risks and costs of downtime. It begins by outlining how downtime can negatively impact organizations through a "ripple effect" as business processes have become increasingly dependent on integrated IT systems. It then presents IBM's framework for a comprehensive technical support strategy covering people, processes, and technology. The document advocates conducting an assessment of an organization's current support maturity level and developing a roadmap to prioritize improvements. Finally, it argues that a managed support solution through a third party can help optimize support more cost-effectively across an organization's entire IT environment.
Unit 1 Introduction to MIS, MIS & Data Mining , MIS & Decision MakingAsmita Singh
this presentation highlights the role and need of MIS. it also includes the data flow within databses, datawarehouses and datamarts. It includes the functions of OLAP AND OLTP. It briefs about how data gets converted into information called as data mining. Further sections include different kinds of MIS management levels and managers . Then the outputs of MIS in the form of MIS reports have been illustrated with diagrams. in the later section, MIS and decision making has been discussed in details. concept of SWOT ANALYSIS and Cost benefit analysis has also been described . Structured, Unstructured and semi-structured decisions have also been discussed in detail.
This document discusses how organizations can better link decisions and information to improve organizational performance. It identifies three levels of linking information and decisions: loosely coupled, structured human decisions, and automated decisions. The document provides examples of each approach, such as creating a financial data mart to loosely inform various financial decisions, using analytics and decision process structuring to improve targeted decisions like pricing, and automating operational decisions through embedded rules and algorithms. The goal is to optimize how information supports and improves decision making at all levels of the organization.
The compelling business drivers for the hosted contact center approachWest Interactive
The document discusses the compelling business drivers for hosted contact centers. It summarizes industry trends showing strong growth in hosted contact centers. The top benefits of hosted contact centers are no upfront capital costs, lower total cost of ownership, flexibility to scale up or down easily, and access to the latest technologies. The document also provides an example of how West Interactive implemented a successful hosted contact center solution for a wireless company that improved customer service and reduced costs.
This document discusses a proposed system called TICOS (Treatment Information and Cost Optimization System) to address issues with decision uncertainty and the compromise effect for patients making health care decisions in India. It begins with background on existing health information systems and literature on decision making. It then outlines the existing challenges with variability in quality and costs across providers and lack of standardized information. The proposed TICOS system would provide patients complete information on treatment options and costs to improve transparency and decision making. It would be integrated across hospitals in a region through regulatory bodies. The goal is to help patients make more informed, optimized choices to get the best treatment within their means and reduce decision uncertainty.
The Business Value of Commvault Software IDC 2016 US40773815Charles Uprichard
This document summarizes the results of a survey conducted by IDC of 722 Commvault customers. The survey found that Commvault customers reported significant benefits in three categories: simplification, risk reduction, and productivity gains. Commvault customers simplified their IT environments through reduced costs, staffing needs, and complexity. They reduced risks through lower downtime, improved data protection and recovery capabilities. Commvault also provided productivity gains by improving IT staff efficiency and organizational productivity overall. Key findings included 42-52% lower annual costs, 55% less downtime, 66-217% greater data coverage, and 63-73% lower risks of compliance failures or data loss.
Slow Data Kills Business eBook - Improve the Customer ExperienceInterSystems
We live in an era where customer experience trumps product features and functions. How do you exceed customer’s expectations every time they interact with your organization? By leveraging more information and applying insights you have learned over time. Turning data-driven power into delightful experiences will give you the advantages required to succeed in today’s climate of one-click shopping and crowd-sourced feedback. Whether you are a retailer, a banker, a care provider, or a policy maker, your organization must harness the power of growing data volumes, data types, and data sources to foster experiences that matter.
This document discusses business intelligence (BI) in financial institutions. It defines BI as gathering meaningful information to help with analysis and conclusions. An ideal BI system gives employees easy access to needed information and the ability to analyze and share it. The document contrasts traditional reporting with BI and analytic applications. It also discusses identifying BI opportunities by evaluating where it could improve decision making. The benefits of BI include improved operational and strategic decisions from timely information. The document outlines the layers of a BI infrastructure from operational data to delivering intelligence to users.
Gaining financial and operational efficiencies through centralized processing. Lisa Baergen, APR
Centralized processing and divisional accounting has become a popular area of investigation for many multi-location/ multi-entity organizations
who struggle with the challenges of optimizing operational efficiencies and control within their disconnected organizations.
This White Paper takes a look at the challenges companies face with multiple entities today, some of the common solutions offered and will also suggest a framework for determining the critical components of centralized processing that are vital to your organization’s health.
Assignment mqanagement information system 0047amol_dongare
This document contains an assignment for a Management Information Systems course. It includes 3 questions asking students to:
1) Define MIS, its characteristics and functions, and disadvantages of MIS.
2) Explain knowledge-based systems, decision support systems (DSS), and online analytical processing (OLAP), providing examples of each.
3) Discuss value chain analysis and its significance for MIS, the meaning of business process reengineering (BPR) and its significance, and how data warehousing and data mining are useful for MIS.
The document provides detailed answers for each question, explaining key concepts and terms related to MIS.
1. Data science involves applying scientific methods and processes to extract knowledge and insights from data. It includes techniques like machine learning, statistical analysis, and data visualization.
2. Data science has many applications in fields like marketing, healthcare, banking, and government. It helps with tasks like demand forecasting, fraud detection, personalized recommendations, and policymaking.
3. The key characteristics of data science include business understanding, intuition, curiosity, and skills in areas like machine learning algorithms, statistics, programming, and communication. Data scientists help organizations make better decisions using data-driven insights.
This document discusses concepts related to corporate and strategic planning for management information systems. It covers topics such as long and short range planning, dimensions of planning including time, entity and organization, characteristics of corporate plans, essentiality of strategic planning due to market forces and environmental factors, development of long range strategic planning including mission and goals, and types of strategies such as overall company strategy, growth strategy, product strategy, and market strategy. Short range planning deals with targets and objectives for one year. Tools for planning discussed include creativity, systems approach, sensitivity analysis, and modeling. Balance scorecards, dashboards, and scorecards are also covered. Finally, the role of MIS in strategic management is discussed.
Like most healthcare organizations, Methodist Healthcare faces a range of pressures in an industry challenged in recent years by declining reimbursements and a slew of new operating requirements mandated by healthcare reform.
To address these challenges, Methodist Healthcare forged a comprehensive partnership with Xerox. Through this partnership, Methodist adopted a centralized print services organization. Xerox deployed a fleet of 275 Xerox printers and multifunction devices that provided value while reducing the reducing the environmental impact of print as Methodist continues to grow and expand. Now into its second decade, the partnership between Methodist and Xerox continues to uphold the shared values of the two organizations.
Requirements Workshop -Text Analytics System - Serene ZawaydehSerene Zawaydeh
This document provides an overview of a requirements workshop for a text analytics system. It discusses preparing for the workshop by interviewing stakeholders and understanding existing processes. The workshop would explore business requirements like delivery timeline and budget, and requirements for the text analytics system like processing unstructured data from different communication channels. Strengths of a requirements workshop include gaining agreement on priorities, but weaknesses include potential issues from stakeholders not being identified prior to the workshop.
This document is a quarterly publication that provides insights for boards and audit committees. It discusses how boards can help organizations embrace data analytics to derive value from big data. It also explores how strengthening internal controls can help tackle corruption risks. Additionally, it highlights an interview discussing the role of nomination committees in selecting directors and evaluating board performance, with a focus on both monetary and non-monetary criteria.
This document summarizes the key topics from a class on information systems management. It discusses risk management frameworks, categories of IT risk, and approaches to IT outsourcing. The instructor's agenda includes recapping risk management, an assignment, a quiz, and a discussion on IT outsourcing and its benefits, drivers, approaches, and risks. Offshoring trends and implications for IT managers are also briefly touched on.
XBRL provides benefits for businesses exchanging financial information. It allows for both broad access to data (reach) and detailed, timely data (richness). XBRL uses open standards like XML, which lowers costs compared to proprietary formats. Metadata and business rules are key concepts - metadata provides structure and meaning for data, while business rules automate validation and workflows. Overall, XBRL enables automated exchange of high-quality financial data between businesses, regulators, and other parties in a consistent, cost-effective manner.
The document discusses how investing in data quality can provide a significant return on investment for companies. It outlines five tenets that leading companies embrace to realize this ROI from quality data: 1) view data quality as a business issue, not just an IT issue, 2) establish an explicit data governance strategy, especially at the point of data entry, 3) use a third-party data provider to consolidate and cleanse data, 4) address the challenge of maintaining accurate data given the rapid rate of data changes, and 5) strive for a 360-degree view of customers and suppliers across the organization.
The document discusses the future role of underwriters in the insurance industry. It states that underwriters will take on new roles beyond risk evaluation, including serving as sales executives, decision scientists, customer advocates, and innovators. They will leverage new technologies like predictive modeling, data analytics tools, and mobile/social media to perform these expanded functions. The document provides examples of how a future underwriter's day may involve activities like identifying sales opportunities, collaborating with agents, analyzing risk data, and developing new insurance products and services. It argues that insurers who help underwriters develop the necessary skills and talents to utilize new technologies will gain a competitive advantage.
From Complexity and Frustration to Simplicity and Effectiveness it is the most viable foundation for discovering new opportunities that build momentum and inspire growth.
MANAGING IT INNOVATION: RECESSIONARY AND POST-RECESSIONARY SERVICE AND STAFFI...IJMIT JOURNAL
This document discusses managing IT innovation through recession and post-recession service and staffing models. It proposes a framework involving establishing an IT service catalog, optimizing application portfolios, aligning service-oriented architectures, identifying emerging services, and generating sustainability. During recessions, IT budgets and staffing are often cut, limiting innovation; however, organizations that continue innovating through downturns will be better positioned post-recession. The framework is intended to help organizations dedicate resources to innovation through various economic cycles.
Managing It Innovation: Recessionary and Post-Recessionary Service and Staffi...IJMIT JOURNAL
Information Technology (IT) service and staffing models were increasingly reduced in the wake of
recession, which often limits focus for long-term innovation, as the remaining services and staff are focused
on producing short-term requirements. Despite these cutbacks, organizations must continue to innovate and
provide contributions to the set of stakeholders. In addition as the post-recessionary timeframe begins,
organizations that continued to innovate throughout the recession, must retain human capital and take
advantage of their prior investments. Organizations that focus on innovation during recessionary
timeframes, are more likely to emerge in a superior competitive position during post-recessionary
timeframes. This paper explores identified industry best practices for IT service and staffing models that
can be utilized to ensure adequate resources are dedicated to achieving innovation, and management
implications for post-recessionary methods. In addition, a review of the capacities and capabilities which
fall under the new IT service and staffing models are developed in the form of an innovation matrix. This
approach reduces IT requirements to focus on key strategic service areas, with considerations for reduced
staffing needs during periods of economic downturn, and staffing retention during the following economic
upturn.
This document summarizes an assignment for a Management Information Systems course. It includes 6 questions assessing various topics: 1) differentiation of information systems and technologies with an example; 2) use of management information systems for decision making using the traveling salesman problem; 3) use of information systems to support competitive strategies with examples; 4) Herbert Simon's model of decision making; 5) short notes on data administration, concurrency, redundancy, recovery from crashes, and data access; and 6) short notes on workplace monitoring and power over users. Students are instructed to answer all questions, with longer answers for 10-mark questions being approximately 400 words.
Serene Zawaydeh - Big Data -Investment -WaveletsSerene Zawaydeh
Big data solutions are being implemented in the investment industry among other industries, allowing processing of a large volume of variables including real time changes.
In addition to highlighting current applications of big data in the investment industry, this paper identifies applications of Wavelets in finance and Big Data. Wavelets are used for the analysis of non stationary signals. Academic studies proved the benefits of using Wavelets for forecasting financial time series, data mining among other applications.
Small and medium enterprise business solutions using data visualizationjournalBEEI
The small and medium enterprise (SME) companies optimize performance using different automated systems to highlight the operations concerns. However, lack of efficient visualization in reporting results in slow feedbacks, difficulties in extracting root cause, and minimal corrective actions. To complicate matters, the data heterogeneity has intensely increased, and it is produced in a fast manner making it unmanageable if the traditional methods of analytics are applied. Hence, we propose the use of a dashboard that can summarize the operational events using real-time data based on the data visualization approach. This proposed solution summarizes the raw data, which allows the user to make informed decisions that can give a positive impact on business performance. An interactive intelligent dashboard for SME (iid-SME) is developed to tackle issues such as measurement of cases completed, the duration of time needed to solve a case, the individual performance of handling cases and other tasks as a proof of concept. From the result, the implementation of the iid-SME approach simplifies the conveyance of the message and helps the SME personnel to make decisions. With the positive feedback obtained, it is envisaged that such a solution can be further employed for SME improvement for better profit and decision making.
This document summarizes an article from the International Journal of Management that examines foreign direct investment (FDI) in India. It analyzes FDI inflows during pre- and post-liberalization periods and the relationship between FDI and GDP. Key findings include that FDI inflows increased significantly after economic liberalization in 1991 and top sources are Mauritius, Singapore, the UK and US. Services, construction, and software are top sectors attracting FDI. The study finds a positive relationship between FDI inflows and GDP, suggesting FDI promotes economic growth. Forecasting models predict continued growth in FDI inflows to India through 2018.
This document summarizes a research paper that proposes using a heuristic genetic algorithm to optimize inventory levels in a CONWIP (Constant Work-In-Process) supply chain. The paper begins by introducing CONWIP production control systems and supply chain management. It then discusses using a heuristic approach to iteratively allocate inventory cards across product types in a production line to maximize throughput. The paper proposes extending this CONWIP control approach to model a full supply chain and uses a genetic algorithm to determine optimal inventory levels at each stage. The document provides background on CONWIP and supply chain models, describes the proposed CONWIP supply chain mathematical model and heuristic genetic algorithm approach.
This document summarizes a research paper that proposes a new method for detecting phishing e-commerce websites using visual cryptography. The method encrypts an image into shares that are sent to a server to verify if it is legitimate. If the server is not legitimate, the shares will not reconstruct the original image when stacked. The document provides background on phishing attacks and visual cryptography. It then describes the proposed system architecture, algorithm and provides results of testing the system on legitimate and illegitimate servers. The research concludes the method increases security for e-commerce websites by verifying website legitimacy through visual cryptography without revealing confidential user information.
Slow Data Kills Business eBook - Improve the Customer ExperienceInterSystems
We live in an era where customer experience trumps product features and functions. How do you exceed customer’s expectations every time they interact with your organization? By leveraging more information and applying insights you have learned over time. Turning data-driven power into delightful experiences will give you the advantages required to succeed in today’s climate of one-click shopping and crowd-sourced feedback. Whether you are a retailer, a banker, a care provider, or a policy maker, your organization must harness the power of growing data volumes, data types, and data sources to foster experiences that matter.
This document discusses business intelligence (BI) in financial institutions. It defines BI as gathering meaningful information to help with analysis and conclusions. An ideal BI system gives employees easy access to needed information and the ability to analyze and share it. The document contrasts traditional reporting with BI and analytic applications. It also discusses identifying BI opportunities by evaluating where it could improve decision making. The benefits of BI include improved operational and strategic decisions from timely information. The document outlines the layers of a BI infrastructure from operational data to delivering intelligence to users.
Gaining financial and operational efficiencies through centralized processing. Lisa Baergen, APR
Centralized processing and divisional accounting has become a popular area of investigation for many multi-location/ multi-entity organizations
who struggle with the challenges of optimizing operational efficiencies and control within their disconnected organizations.
This White Paper takes a look at the challenges companies face with multiple entities today, some of the common solutions offered and will also suggest a framework for determining the critical components of centralized processing that are vital to your organization’s health.
Assignment mqanagement information system 0047amol_dongare
This document contains an assignment for a Management Information Systems course. It includes 3 questions asking students to:
1) Define MIS, its characteristics and functions, and disadvantages of MIS.
2) Explain knowledge-based systems, decision support systems (DSS), and online analytical processing (OLAP), providing examples of each.
3) Discuss value chain analysis and its significance for MIS, the meaning of business process reengineering (BPR) and its significance, and how data warehousing and data mining are useful for MIS.
The document provides detailed answers for each question, explaining key concepts and terms related to MIS.
1. Data science involves applying scientific methods and processes to extract knowledge and insights from data. It includes techniques like machine learning, statistical analysis, and data visualization.
2. Data science has many applications in fields like marketing, healthcare, banking, and government. It helps with tasks like demand forecasting, fraud detection, personalized recommendations, and policymaking.
3. The key characteristics of data science include business understanding, intuition, curiosity, and skills in areas like machine learning algorithms, statistics, programming, and communication. Data scientists help organizations make better decisions using data-driven insights.
This document discusses concepts related to corporate and strategic planning for management information systems. It covers topics such as long and short range planning, dimensions of planning including time, entity and organization, characteristics of corporate plans, essentiality of strategic planning due to market forces and environmental factors, development of long range strategic planning including mission and goals, and types of strategies such as overall company strategy, growth strategy, product strategy, and market strategy. Short range planning deals with targets and objectives for one year. Tools for planning discussed include creativity, systems approach, sensitivity analysis, and modeling. Balance scorecards, dashboards, and scorecards are also covered. Finally, the role of MIS in strategic management is discussed.
Like most healthcare organizations, Methodist Healthcare faces a range of pressures in an industry challenged in recent years by declining reimbursements and a slew of new operating requirements mandated by healthcare reform.
To address these challenges, Methodist Healthcare forged a comprehensive partnership with Xerox. Through this partnership, Methodist adopted a centralized print services organization. Xerox deployed a fleet of 275 Xerox printers and multifunction devices that provided value while reducing the reducing the environmental impact of print as Methodist continues to grow and expand. Now into its second decade, the partnership between Methodist and Xerox continues to uphold the shared values of the two organizations.
Requirements Workshop -Text Analytics System - Serene ZawaydehSerene Zawaydeh
This document provides an overview of a requirements workshop for a text analytics system. It discusses preparing for the workshop by interviewing stakeholders and understanding existing processes. The workshop would explore business requirements like delivery timeline and budget, and requirements for the text analytics system like processing unstructured data from different communication channels. Strengths of a requirements workshop include gaining agreement on priorities, but weaknesses include potential issues from stakeholders not being identified prior to the workshop.
This document is a quarterly publication that provides insights for boards and audit committees. It discusses how boards can help organizations embrace data analytics to derive value from big data. It also explores how strengthening internal controls can help tackle corruption risks. Additionally, it highlights an interview discussing the role of nomination committees in selecting directors and evaluating board performance, with a focus on both monetary and non-monetary criteria.
This document summarizes the key topics from a class on information systems management. It discusses risk management frameworks, categories of IT risk, and approaches to IT outsourcing. The instructor's agenda includes recapping risk management, an assignment, a quiz, and a discussion on IT outsourcing and its benefits, drivers, approaches, and risks. Offshoring trends and implications for IT managers are also briefly touched on.
XBRL provides benefits for businesses exchanging financial information. It allows for both broad access to data (reach) and detailed, timely data (richness). XBRL uses open standards like XML, which lowers costs compared to proprietary formats. Metadata and business rules are key concepts - metadata provides structure and meaning for data, while business rules automate validation and workflows. Overall, XBRL enables automated exchange of high-quality financial data between businesses, regulators, and other parties in a consistent, cost-effective manner.
The document discusses how investing in data quality can provide a significant return on investment for companies. It outlines five tenets that leading companies embrace to realize this ROI from quality data: 1) view data quality as a business issue, not just an IT issue, 2) establish an explicit data governance strategy, especially at the point of data entry, 3) use a third-party data provider to consolidate and cleanse data, 4) address the challenge of maintaining accurate data given the rapid rate of data changes, and 5) strive for a 360-degree view of customers and suppliers across the organization.
The document discusses the future role of underwriters in the insurance industry. It states that underwriters will take on new roles beyond risk evaluation, including serving as sales executives, decision scientists, customer advocates, and innovators. They will leverage new technologies like predictive modeling, data analytics tools, and mobile/social media to perform these expanded functions. The document provides examples of how a future underwriter's day may involve activities like identifying sales opportunities, collaborating with agents, analyzing risk data, and developing new insurance products and services. It argues that insurers who help underwriters develop the necessary skills and talents to utilize new technologies will gain a competitive advantage.
From Complexity and Frustration to Simplicity and Effectiveness it is the most viable foundation for discovering new opportunities that build momentum and inspire growth.
MANAGING IT INNOVATION: RECESSIONARY AND POST-RECESSIONARY SERVICE AND STAFFI...IJMIT JOURNAL
This document discusses managing IT innovation through recession and post-recession service and staffing models. It proposes a framework involving establishing an IT service catalog, optimizing application portfolios, aligning service-oriented architectures, identifying emerging services, and generating sustainability. During recessions, IT budgets and staffing are often cut, limiting innovation; however, organizations that continue innovating through downturns will be better positioned post-recession. The framework is intended to help organizations dedicate resources to innovation through various economic cycles.
Managing It Innovation: Recessionary and Post-Recessionary Service and Staffi...IJMIT JOURNAL
Information Technology (IT) service and staffing models were increasingly reduced in the wake of
recession, which often limits focus for long-term innovation, as the remaining services and staff are focused
on producing short-term requirements. Despite these cutbacks, organizations must continue to innovate and
provide contributions to the set of stakeholders. In addition as the post-recessionary timeframe begins,
organizations that continued to innovate throughout the recession, must retain human capital and take
advantage of their prior investments. Organizations that focus on innovation during recessionary
timeframes, are more likely to emerge in a superior competitive position during post-recessionary
timeframes. This paper explores identified industry best practices for IT service and staffing models that
can be utilized to ensure adequate resources are dedicated to achieving innovation, and management
implications for post-recessionary methods. In addition, a review of the capacities and capabilities which
fall under the new IT service and staffing models are developed in the form of an innovation matrix. This
approach reduces IT requirements to focus on key strategic service areas, with considerations for reduced
staffing needs during periods of economic downturn, and staffing retention during the following economic
upturn.
This document summarizes an assignment for a Management Information Systems course. It includes 6 questions assessing various topics: 1) differentiation of information systems and technologies with an example; 2) use of management information systems for decision making using the traveling salesman problem; 3) use of information systems to support competitive strategies with examples; 4) Herbert Simon's model of decision making; 5) short notes on data administration, concurrency, redundancy, recovery from crashes, and data access; and 6) short notes on workplace monitoring and power over users. Students are instructed to answer all questions, with longer answers for 10-mark questions being approximately 400 words.
Serene Zawaydeh - Big Data -Investment -WaveletsSerene Zawaydeh
Big data solutions are being implemented in the investment industry among other industries, allowing processing of a large volume of variables including real time changes.
In addition to highlighting current applications of big data in the investment industry, this paper identifies applications of Wavelets in finance and Big Data. Wavelets are used for the analysis of non stationary signals. Academic studies proved the benefits of using Wavelets for forecasting financial time series, data mining among other applications.
Small and medium enterprise business solutions using data visualizationjournalBEEI
The small and medium enterprise (SME) companies optimize performance using different automated systems to highlight the operations concerns. However, lack of efficient visualization in reporting results in slow feedbacks, difficulties in extracting root cause, and minimal corrective actions. To complicate matters, the data heterogeneity has intensely increased, and it is produced in a fast manner making it unmanageable if the traditional methods of analytics are applied. Hence, we propose the use of a dashboard that can summarize the operational events using real-time data based on the data visualization approach. This proposed solution summarizes the raw data, which allows the user to make informed decisions that can give a positive impact on business performance. An interactive intelligent dashboard for SME (iid-SME) is developed to tackle issues such as measurement of cases completed, the duration of time needed to solve a case, the individual performance of handling cases and other tasks as a proof of concept. From the result, the implementation of the iid-SME approach simplifies the conveyance of the message and helps the SME personnel to make decisions. With the positive feedback obtained, it is envisaged that such a solution can be further employed for SME improvement for better profit and decision making.
This document summarizes an article from the International Journal of Management that examines foreign direct investment (FDI) in India. It analyzes FDI inflows during pre- and post-liberalization periods and the relationship between FDI and GDP. Key findings include that FDI inflows increased significantly after economic liberalization in 1991 and top sources are Mauritius, Singapore, the UK and US. Services, construction, and software are top sectors attracting FDI. The study finds a positive relationship between FDI inflows and GDP, suggesting FDI promotes economic growth. Forecasting models predict continued growth in FDI inflows to India through 2018.
This document summarizes a research paper that proposes using a heuristic genetic algorithm to optimize inventory levels in a CONWIP (Constant Work-In-Process) supply chain. The paper begins by introducing CONWIP production control systems and supply chain management. It then discusses using a heuristic approach to iteratively allocate inventory cards across product types in a production line to maximize throughput. The paper proposes extending this CONWIP control approach to model a full supply chain and uses a genetic algorithm to determine optimal inventory levels at each stage. The document provides background on CONWIP and supply chain models, describes the proposed CONWIP supply chain mathematical model and heuristic genetic algorithm approach.
This document summarizes a research paper that proposes a new method for detecting phishing e-commerce websites using visual cryptography. The method encrypts an image into shares that are sent to a server to verify if it is legitimate. If the server is not legitimate, the shares will not reconstruct the original image when stacked. The document provides background on phishing attacks and visual cryptography. It then describes the proposed system architecture, algorithm and provides results of testing the system on legitimate and illegitimate servers. The research concludes the method increases security for e-commerce websites by verifying website legitimacy through visual cryptography without revealing confidential user information.
This document summarizes a research paper that compares different multiplier designs. It discusses array multipliers, Booth multipliers using Radix-2 and Radix-4 algorithms. Simulation results on FPGA show that Booth multipliers consume less power and area than array multipliers. Specifically, a 16x16 Booth multiplier was found to be more efficient in terms of speed and power consumption compared to other designs. The document provides background on multipliers and power optimization in VLSI systems. It also outlines the methodology used to simulate and compare the multipliers in terms of time delays, gate counts and power usage.
This document summarizes an article from the International Journal of Computer Engineering and Technology that proposes a new Dynamic Expiration Enabled Role Based Access Control (DEERBAC) model for cloud computing environments. The DEERBAC model aims to provide fine-grained temporal access control policies and address key issues like expressiveness, minimality, and security. It differentiates between role activation and individual role assignments, only activating roles during user sessions. The model also considers inheritance-only, activation-only, and combined hierarchies to strengthen security. While non-minimal, the DEERBAC model claims to provide flexibility with minimum complexity for policy presentation and efficient role assignments at large scales. The model is evaluated on Amazon Cloud and results
The document summarizes an analysis of the load on the shaft and guide bearing of a Pelton water turbine. It describes:
1) Calculations of flow parameters through the turbine nozzle, velocity and pressure distributions on the turbine buckets, and kinematics of interaction between the jet and buckets.
2) Determination of the pressing force on buckets in regular operation, start, and stop modes using analytical expressions that account for flow parameters and bucket geometry.
3) Calculation of loads on the turbine shaft and guide bearing, represented as force components along axes of the turbine coordinate system, for a maximum load operating condition.
The document summarizes a study on reducing CO2 emissions from thermal power plants through load dispatch scheduling. It presents equations to calculate CO2 emissions from power plants and describes using evolutionary algorithms to optimize load scheduling across three power plants. The results show evolutionary techniques achieved the lowest overall CO2 emissions of 8,426 tons compared to other methods, while maintaining the same total power output. The conclusion is that properly selecting which plants generate power through load scheduling can reduce CO2 emissions without additional equipment.
This document summarizes an article from the International Journal of Computer Engineering and Technology. The article proposes a new method for identifying arable and tree crops using leaf images. It extracts edge and texture features from leaf images using a Gabor filter. It then fuses the edge and texture features for classification. Two classifiers, CART and Radial Basis Function, are used to measure the classification accuracy. When tested on 195 leaf images from 6 crop species, the method achieved an average accuracy of 88.21% for crop identification.
This document summarizes a research paper that proposes a method for optimizing the performance of hydroelectric power plants to minimize water usage. The method involves regulating water release to achieve maximum turbine efficiency and meet load demand using the least amount of water. It applies this concept to the 8x125 MW Indira Sagar hydroelectric plant in India. The results show water conservation of over 1 million cubic meters per day by operating turbines at peak efficiency compared to typical plant operations. This demonstrates the potential of the optimization method for more sustainable hydropower generation.
This document summarizes techniques for detecting tampered or forged digital images. It discusses both active techniques that require prior information like watermarks, and passive/"blind" techniques that can detect forgeries without prior info by analyzing inconsistencies in statistical image properties introduced during tampering. Specific techniques mentioned include detecting inconsistencies in noise levels, color filter array properties, JPEG compression quality, and identifying copy-move or image splicing operations. The document also reviews several papers on techniques like analyzing demosaicing patterns, noise analysis, SIFT feature clustering, and alpha matting.
This document describes a study that used artificial neural networks (ANN) and multiple linear regression (MLR) to predict the California Bearing Ratio (CBR) of fine-grained soils based on other soil properties. Forty soil samples were collected and tested to determine properties like liquid limit, plastic limit, optimum moisture content, maximum dry density, and percentage fines. Ten different predictive models using different combinations of these properties as inputs were developed using MLR and ANN. The results showed that ANN models produced better predictions of CBR than MLR models, with the best ANN model having a correlation coefficient of 0.94 compared to 0.86 for the best MLR model. This indicates ANN may be an effective
This document discusses optimizing production time and productivity using lean manufacturing and overall equipment effectiveness (OEE). It analyzes OEE at a manufacturing company called ABM International. Calculations are shown to determine OEE based on experimental shift data and theoretical production data for ABM International over a year. The OEE was calculated to be 69.87% based on experimental data and 60.61% based on theoretical data, identifying opportunities to improve efficiency and reduce waste.
The document discusses different leadership styles of faculty members - transformational, transactional, and laissez-faire - and examines how these styles impact student satisfaction in higher education institutions. It reviews literature on the full range leadership model and the characteristics of transformational, transactional, and passive/avoidant leadership styles. The study aims to determine the most effective leadership style of faculty for fostering student achievement and motivation.
This document presents a case study comparing the thyristor converter technology and diode converter technology used in aluminum smelters. Measurements were taken at Hindalco Industries' smelters of parameters like current harmonics, power factor, and efficiency for converters operating at the same DC load of 70kA. The analysis found that thyristor converters had lower power factors and higher harmonics compared to diode converters without filter banks, but these differences reduced with the use of filter banks. Overall, the study concluded that thyristor converter technology is more energy efficient and cost effective compared to diode technology for aluminum smelting operations.
The document announces an International Conference on Communication Systems (ICCS-2013) that will be held from October 18-20, 2013 at the B K Birla Institute of Engineering & Technology in Pilani, India. The conference aims to bring together researchers, academics and industry professionals from around the world to share knowledge and ideas on recent trends in communication systems. It is expected to provide a platform for scientists and technologists to present innovative concepts and solutions. The organizers hope the conference will be a grand success.
This document summarizes a research paper that proposes an enhancement to the Multi-Level Link Structure Analysis (MLSA) algorithm to reduce false positives in detecting link spam. The MLSA algorithm analyzes the inlinks and outlinks of a web page across multiple levels but suffers from falsely detecting some legitimate pages as spam. The proposed improvement tracks duplicated links, only increments crosslink counts between different domains, and compares the main domains of pages to reduce falsely detected spam pages by 90-100%. An experimental analysis shows the improved MLSA correctly identifies pages that the original MLSA incorrectly flagged as spam.
Este poema fala sobre a amizade e o que um amigo pode e não pode fazer por outro. O poema diz que um amigo pode escutar e apoiar, mas não pode mudar o passado ou futuro, evitar erros ou sofrimento, ou dizer quem a pessoa é. O mais importante é que o amigo pode oferecer seu apoio e amor incondicional.
Este documento es el Informe Regional de Desarrollo Humano 2013-2014 del PNUD para América Latina. Se enfoca en el tema de la seguridad ciudadana en la región. Presenta un diagnóstico de los problemas de delincuencia y violencia en América Latina y ofrece recomendaciones para mejorar las políticas públicas sobre seguridad ciudadana. El informe fue elaborado por un equipo de expertos coordinados por el PNUD con apoyo del gobierno de España y en colaboración con otras agencias regionales como el BID, CAF y O
O documento discute projetos de infraestrutura rodoviária em Minas Gerais, incluindo o Programa Caminhos de Minas, melhorias na MG-424 e LMG-806, e detalhes sobre o Programa de Manutenção e Recuperação de Rodovias do Estado.
Este documento describe los principales símbolos patrios del Perú: la bandera, el escudo nacional y el himno nacional. La bandera peruana consta de tres franjas verticales roja-blanca-roja y se usa en diferentes versiones. El escudo nacional representa la vicuña, la quina y una cornucopia como símbolos de las riquezas del Perú. El himno nacional fue escrito por José de la Torre Ugarte y José Bernardo Alcedo para conmemorar la independencia, y se considera uno de los himnos más hermosos
This document discusses using data mining techniques to generate optimal telecom plans. It begins with an abstract describing using decision support systems and data mining to improve telecom plan pricing and modification based on user usage. It then provides background on decision support systems and their use in telecom for price setting and expenditure calculation. The goal is to develop an intelligent system to provide insights into trends to judge profit/loss and identify plans needing modification based on customer preference.
Using Data Mining Techniques in Customer SegmentationIJERA Editor
Data mining plays important role in marketing and is quite new. Although this field expands rapidly, data mining is still foreign issue for many marketers who trust only their experiences. Data mining techniques cannot substitute the significant role of domain experts and their business knowledge. In the other words, data mining algorithms are powerful but cannot effectively work without the active support of business experts. We can gain useful results by combining these techniques and business expertise. For instance ability of a data mining technique can be substantially increased by combining person experience in the field or information of business can be integrated into a data mining model to build a more successful result. Moreover, these results should always be evaluated by business experts. Thus, business knowledge can help and enrich the data mining results. On the other hand, data mining techniques can extract patterns that even the most experienced business people may have missed. In conclusion, the combination of business domain expertise with the power of data mining techniques can help organizations gain a competitive advantage in their efforts to optimize customer management. Clustering algorithms, a group of data mining technique, is one of most common used way to segment data set according to their similarities. This paper focuses on the topic of customer segmentation using data mining techniques. In the other words, we theoretically discuss about customer relationship management and then utilize couple of data mining algorithm specially clustering techniques for customer segmentation. We concentrated on behavioral segmentation.
1Running Head MODULE 7 SUBMISSION6 MODULE 7 SUBMISSION.docxdrennanmicah
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MODULE 7 SUBMISSION
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Abstract
Introduction
Technology is very dynamic today and the business organizations are dependent on technological advancements. Business environment is changing and with the fast-paced aviation industry, there is the need to implement very good information systems technologies to improve the efficiency of their operations, hence improving their competitive advantage. The system improves communication, operations management, decision-making and record-keeping, which is very important in improving the way things are done within the organization.
Decision Supporting System
The aviation industry is a very competitive industry and it requires a lot of data analysis in order to continue improve service provision. The aviation industry is a very vast industry with so many players. Being a service industry, it is important to ensure that all the travelers receive the best services. An improvement in the efficiency, effectiveness and quality of services provided to the customers is not very easy. It requires thorough market analysis. This is the reason decision supporting systems are required. According to Toda (1998), a decision system is a very useful system, which helps in the collection, and the analysis of necessary information, on which a decision will be based. Airline management is not easy and it requires good decision making in order to improve both the safety of the passengers, as well as the profitability of the business. According to Ivanov & Netjasov, (n.d.), decision support systems have been used widely in the aviation industry. However, there are so many inconsistencies in the way they are used. Essentially, all decision supporting systems are aimed at improving the quality of decision making, while reducing the required time for decision making. Improvement of decision making through the use of Decision Supporting Systems (DSS), within the aviation industry is important. The success, safety, profitability and sustainability of an aviation organization is dependent on the quality of decisions being made.
In aviation maintenance, Decision Supporting Systems have a very big role to play. According to Zhang, Zhao, Tan, Yu, & Hua (2011), the Decision Supporting System can be useful in real-time acquisition and processing of data, which is essential in improving the decisions made by the leadership in the aviation organization. Provision of the historical data is also very important in improving the quality of decision made within the organization. Provision of the basis of a technical decision would be essential.
Having a good system to support decisions is very crucial in helping the technical team in the identification of issues or fault diagnosis. Faults in the organization systems or any issues affecting the crafts can have detrimental results if they are not well managed. According to Zhang, Zhao, .
This document discusses using business intelligence (BI) strategies and tools to improve human resource (HR) management. It proposes separating personnel data from business data and analyzing employment trends to better screen candidates and improve productivity. BI involves collecting and analyzing large amounts of employee data (profiles, appraisals, compensation) to gain insights for strategic HR decisions. Implementing a BI approach for HR could help translate existing employee data into future-focused actions around candidate screening, cost management, and productivity enhancements.
A decision support system (DSS) combines data, models, and software to support decision-making. The document discusses the history and types of DSS, including model-driven DSS which emphasize access and manipulation of models, and data-driven DSS which focus on accessing and analyzing internal and external time-series data. Examples of each type are provided to illustrate how DSS can enhance decision-making in complex, uncertain environments.
PROVIDING A METHOD FOR DETERMINING THE INDEX OF CUSTOMER CHURN IN INDUSTRYIJITCA Journal
Churn customer, one of the most important issues in customer relationship management and marketing is especially in industries such as telecommunications, the financial and insurance. In recent decades much
research has been done in this area. In this research, the index set for the reasons set reason churn customers for our customers is of particular importance. In this study we are intended to provide a formula for the index churn customers, the better to understand the reasons for customers to provide churn. Therefore, in order to evaluate the formula provided through six Classification methods (Decision tree QUEST, Decision tree C5.0, Decision tree CHAID, Decision trees CART, Bayesian network, Neural network) to evaluate the formula will be involved with individual indicators
1. The document discusses how contact center managers currently struggle to track customer interactions across multiple vendor systems storing proprietary data.
2. It proposes using a big data platform like Esgyn to ingest real-time and historical data from various systems into a single "customer data lake" to better analyze customer journeys and behavior.
3. Esgyn provides a vendor-agnostic platform for building a contact center data lake to gain insights into customer experiences across different touchpoints.
Straight through processing (STP) allows loan information to be entered once and then reused throughout the application and approval process. This eliminates redundant data entry and improves accuracy. STP streamlines the lending process from start to finish, compressing cycle times. It enables tasks to be completed simultaneously rather than sequentially, as was traditionally the case when files moved between departments. STP has the potential to dramatically transform lending operations by increasing efficiency and reducing costs.
This document discusses various aspects of customer relationship management (CRM) and data analytics used by AstraWorld, a CRM program management company in Indonesia. It provides an overview of AstraWorld's services, which include contact center management, emergency roadside assistance, and CRM programs. It also discusses concepts like descriptive analytics, predictive analytics, data mining, big data, machine learning, social media analytics, marketing research, geographical information systems, and business intelligence - and how these data analytics techniques are used to better understand customers and support AstraWorld's clients.
Few decades ago, Managers relied on their instincts to take business decisions. They could afford to make mistakes and learn from it. Today, the scope for learning from mistakes is very minimal. Instincts should be backed by data to minimise mistakes.
Technological advancements, in addition to opening new channels of communication with customers, have also enabled organizations to collect vital information about their businesses with customers. But, have these organizations fully leveraged this data?
Today, Organizations make use of data for business decisions, but the data is not close enough to the customer to reap maximum benefit. In many cases, importance is not given to the granularity of data. The probability of “customer centric” decisions being right could be high, if the top management makes better use of the end user customer data (such as point of sale data, voice of customer, social media buzz etc.) to devise business strategies.
This document discusses the importance of having a robust IT technical support strategy. As businesses become more reliant on integrated IT systems, downtime can have far-reaching impacts across an organization. The costs of downtime have increased significantly in recent years. The document recommends taking a holistic view of technical support using a framework that considers people, processes, and technology. It also advises conducting an assessment of the current support structure to identify areas for improvement and prioritization. The overall message is that proactively managing technical support can help businesses optimize costs and mitigate risks from downtime in today's complex IT environments.
Business it and labor strategy infrastructure enhancements to achieve corpora...David Bustin
This is a research paper addressing the financial advantage of properly leveraging IT products and staffing strategies for reducing operating costs.
David Bustin
Online Hospital Appointment Management using Cloud Computingijtsrd
Salesforce Cloud computing is quickly replacing the traditional model of having software applications installed on on premise hardware, from desktop computers to rooms full of servers, depending on the size of the business. With cloud computing, businesses access applications via the internet. It's called Software as A Service or SaaS . Salesforce is the leader in cloud computing, offering applications for all aspects of your business, including CRM, sales, ERP, customer service, marketing automation, business analytics, mobile application building, and much more. And it all works on the same, connected platform, drawing from the same customer data. The outpatient of most clinics in developing countries are faced with plethora of issues. These include overtime for doctors and nurses during clinic sessions, long waiting time for patients, and peak workloads for counter personnel. The quality of health care delivery has been threatening by overtime and peak work load. This paper focuses on developing a system to improve upon the efficiency and quality of delivering a web based appointment system to reduce waiting time. In this project, a patient appointment and scheduling system is designed using Salesforce Lightning for the frontend, Apex is used to get values from frontend and store in back end cloud storage. Nithiyasri Sathiyamoorthy | Amaresan S "Online Hospital Appointment Management using Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31681.pdf Paper Url :https://www.ijtsrd.com/management/other/31681/online-hospital-appointment-management-using-cloud-computing/nithiyasri-sathiyamoorthy
An impact of knowledge mining on satisfaction of consumers in super bazaarsIAEME Publication
This document summarizes research on using knowledge mining techniques to study customer satisfaction levels in super bazaars. It first introduces the importance of customer satisfaction for super bazaars and defines knowledge mining. It then describes various knowledge mining techniques that can be applied, including classification, regression, time series analysis, clustering, and association rule mining. The document proposes a model for conducting customer satisfaction surveys, applying knowledge mining techniques to the data, and using the results to enhance customer satisfaction. The goal of the research is to better understand customer preferences and behaviors to improve business performance for super bazaars.
The document describes different types of information systems including transaction processing systems, management information systems, and decision support systems. It provides examples of transaction processing systems like billing systems and defines their key characteristics and cycle. Management information systems are described as software tools that provide processed information to managers to help with decision making. The types, advantages, and outputs of management information systems are outlined. Decision support systems are defined as computer programs that compile information from various sources to support problem solving and decision making for managers.
Sit717 enterprise business intelligence 2019 t2 copy1NellutlaKishore
This document discusses data mining techniques and business intelligence. It begins with an introduction to different data mining techniques like clustering, statistical analysis, visualization, classification, neural networks, rules, and decision trees. It then provides more detail on statistical techniques, explaining that they help analyze large datasets. The document evaluates how big data and business intelligence are related, concluding that while they are different concepts, they need to work together to effectively analyze data and make smart business decisions. Big data provides the large datasets, while business intelligence extracts useful information from those datasets.
This document discusses eight criteria for choosing a self-service analytics platform: 1) Usability - The interface should be intuitive for both power users and non-technical users. 2) Scalability - The platform should be able to support a growing user base without increasing costs. 3) Security - The platform must have strong data security to safely share information with external users. 4) Data services and integration - The platform should integrate data from various sources and enable access for users. 5) Functionality - The platform should have a broad range of capabilities in a single system to meet different user needs. Real-world examples are provided to illustrate how companies have benefited from self-service analytics.
IMPLEMENTATION OF A DECISION SUPPORT SYSTEM AND BUSINESS INTELLIGENCE ALGORIT...ijaia
Data processing is crucial in the insurance industry, due to the important information that is contained in
the data. Business Intelligence (BI) allows to better manage the various activities as for companies
working in the insurance sector. Business Intelligence based on the Decision Support System (DSS), makes
it possible to improve the efficiency of decisions and processes, by improving them to the individual
characteristics of the agents. In this direction, Key Performance Indicators (KPIs) are valid tools that help
insurance companies to understand the current market and to anticipate future trends. The purpose of the
present paper is to discuss a case study, which was developed within the research project "DSS / BI
HUMAN RESOURCES", related to the implementation of an intelligent platform for the automated
management of agents' activities. The platform includes BI, DSS, and KPIs. Specifically, the platform
integrates Data Mining (DM) algorithms for agent scoring, K-means algorithms for customer clustering,
and a Long Short-Term Memory (LSTM) artificial neural network for the prediction of agents KPIs. The
LSTM model is validated by the Artificial Records (AR) approach, which allows to feed the training dataset
in data-poor situations as in many practical cases using Artificial Intelligence (AI) algorithms. Using the
LSTM-AR method, an analysis of the performance of the artificial neural network is carried out by
changing the number of records in the dataset. More precisely, as the number of records increases, the
accuracy increases up to a value equal to 0.9987.
A Service Oriented Analytics Framework For Multi-Level Marketing BusinessBrandi Gonzales
This document proposes a service-oriented analytics framework for multi-level marketing businesses. It discusses developing a statistical service engine solution using R to automate analytical processes and improve enterprise knowledge generation and reusability. The solution would involve:
1) A statistical job portal for users to submit predefined or ad-hoc analysis requests via an XML message format.
2) An enterprise service bus to route job requests to GNU-R engines running statistical scripts on distributed servers. Data could be retrieved from databases or file repositories.
3) The GNU-R engines would execute the scripts, retrieve and analyze data, save results to files, and return outcomes to users for decision making. Asynchronous messaging and portability were prior
Submission Deadline: 30th September 2022
Acceptance Notification: Within Three Days’ time period
Online Publication: Within 24 Hrs. time Period
Expected Date of Dispatch of Printed Journal: 5th October 2022
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...IAEME Publication
White layer thickness (WLT) formed and surface roughness in wire electric discharge turning (WEDT) of tungsten carbide composite has been made to model through response surface methodology (RSM). A Taguchi’s standard Design of experiments involving five input variables with three levels has been employed to establish a mathematical model between input parameters and responses. Percentage of cobalt content, spindle speed, Pulse on-time, wire feed and pulse off-time were changed during the experimental tests based on the Taguchi’s orthogonal array L27 (3^13). Analysis of variance (ANOVA) revealed that the mathematical models obtained can adequately describe performance within the parameters of the factors considered. There was a good agreement between the experimental and predicted values in this study.
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURSIAEME Publication
The study explores the reasons for a transgender to become entrepreneurs. In this study transgender entrepreneur was taken as independent variable and reasons to become as dependent variable. Data were collected through a structured questionnaire containing a five point Likert Scale. The study examined the data of 30 transgender entrepreneurs in Salem Municipal Corporation of Tamil Nadu State, India. Simple Random sampling technique was used. Garrett Ranking Technique (Percentile Position, Mean Scores) was used as the analysis for the present study to identify the top 13 stimulus factors for establishment of trans entrepreneurial venture. Economic advancement of a nation is governed upon the upshot of a resolute entrepreneurial doings. The conception of entrepreneurship has stretched and materialized to the socially deflated uncharted sections of transgender community. Presently transgenders have smashed their stereotypes and are making recent headlines of achievements in various fields of our Indian society. The trans-community is gradually being observed in a new light and has been trying to achieve prospective growth in entrepreneurship. The findings of the research revealed that the optimistic changes are taking place to change affirmative societal outlook of the transgender for entrepreneurial ventureship. It also laid emphasis on other transgenders to renovate their traditional living. The paper also highlights that legislators, supervisory body should endorse an impartial canons and reforms in Tamil Nadu Transgender Welfare Board Association.
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURSIAEME Publication
Since ages gender difference is always a debatable theme whether caused by nature, evolution or environment. The birth of a transgender is dreadful not only for the child but also for their parents. The pain of living in the wrong physique and treated as second class victimized citizen is outrageous and fully harboured with vicious baseless negative scruples. For so long, social exclusion had perpetuated inequality and deprivation experiencing ingrained malign stigma and besieged victims of crime or violence across their life spans. They are pushed into the murky way of life with a source of eternal disgust, bereft sexual potency and perennial fear. Although they are highly visible but very little is known about them. The common public needs to comprehend the ravaged arrogance on these insensitive souls and assist in integrating them into the mainstream by offering equal opportunity, treat with humanity and respect their dignity. Entrepreneurship in the current age is endorsing the gender fairness movement. Unstable careers and economic inadequacy had inclined one of the gender variant people called Transgender to become entrepreneurs. These tiny budding entrepreneurs resulted in economic transition by means of employment, free from the clutches of stereotype jobs, raised standard of living and handful of financial empowerment. Besides all these inhibitions, they were able to witness a platform for skill set development that ignited them to enter into entrepreneurial domain. This paper epitomizes skill sets involved in trans-entrepreneurs of Thoothukudi Municipal Corporation of Tamil Nadu State and is a groundbreaking determination to sightsee various skills incorporated and the impact on entrepreneurship.
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONSIAEME Publication
The banking and financial services industries are experiencing increased technology penetration. Among them, the banking industry has made technological advancements to better serve the general populace. The economy focused on transforming the banking sector's system into a cashless, paperless, and faceless one. The researcher wants to evaluate the user's intention for utilising a mobile banking application. The study also examines the variables affecting the user's behaviour intention when selecting specific applications for financial transactions. The researcher employed a well-structured questionnaire and a descriptive study methodology to gather the respondents' primary data utilising the snowball sampling technique. The study includes variables like performance expectations, effort expectations, social impact, enabling circumstances, and perceived risk. Each of the aforementioned variables has a major impact on how users utilise mobile banking applications. The outcome will assist the service provider in comprehending the user's history with mobile banking applications.
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONSIAEME Publication
Technology upgradation in banking sector took the economy to view that payment mode towards online transactions using mobile applications. This system enabled connectivity between banks, Merchant and user in a convenient mode. there are various applications used for online transactions such as Google pay, Paytm, freecharge, mobikiwi, oxygen, phonepe and so on and it also includes mobile banking applications. The study aimed at evaluating the predilection of the user in adopting digital transaction. The study is descriptive in nature. The researcher used random sample techniques to collect the data. The findings reveal that mobile applications differ with the quality of service rendered by Gpay and Phonepe. The researcher suggest the Phonepe application should focus on implementing the application should be user friendly interface and Gpay on motivating the users to feel the importance of request for money and modes of payments in the application.
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINOIAEME Publication
The prototype of a voice-based ATM for visually impaired using Arduino is to help people who are blind. This uses RFID cards which contain users fingerprint encrypted on it and interacts with the users through voice commands. ATM operates when sensor detects the presence of one person in the cabin. After scanning the RFID card, it will ask to select the mode like –normal or blind. User can select the respective mode through voice input, if blind mode is selected the balance check or cash withdraw can be done through voice input. Normal mode procedure is same as the existing ATM.
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...IAEME Publication
There is increasing acceptability of emotional intelligence as a major factor in personality assessment and effective human resource management. Emotional intelligence as the ability to build capacity, empathize, co-operate, motivate and develop others cannot be divorced from both effective performance and human resource management systems. The human person is crucial in defining organizational leadership and fortunes in terms of challenges and opportunities and walking across both multinational and bilateral relationships. The growing complexity of the business world requires a great deal of self-confidence, integrity, communication, conflict and diversity management to keep the global enterprise within the paths of productivity and sustainability. Using the exploratory research design and 255 participants the result of this original study indicates strong positive correlation between emotional intelligence and effective human resource management. The paper offers suggestions on further studies between emotional intelligence and human capital development and recommends for conflict management as an integral part of effective human resource management.
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMYIAEME Publication
Our life journey, in general, is closely defined by the way we understand the meaning of why we coexist and deal with its challenges. As we develop the "inspiration economy", we could say that nearly all of the challenges we have faced are opportunities that help us to discover the rest of our journey. In this note paper, we explore how being faced with the opportunity of being a close carer for an aging parent with dementia brought intangible discoveries that changed our insight of the meaning of the rest of our life journey.
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...IAEME Publication
The main objective of this study is to analyze the impact of aspects of Organizational Culture on the Effectiveness of the Performance Management System (PMS) in the Health Care Organization at Thanjavur. Organizational Culture and PMS play a crucial role in present-day organizations in achieving their objectives. PMS needs employees’ cooperation to achieve its intended objectives. Employees' cooperation depends upon the organization’s culture. The present study uses exploratory research to examine the relationship between the Organization's culture and the Effectiveness of the Performance Management System. The study uses a Structured Questionnaire to collect the primary data. For this study, Thirty-six non-clinical employees were selected from twelve randomly selected Health Care organizations at Thanjavur. Thirty-two fully completed questionnaires were received.
Living in 21st century in itself reminds all of us the necessity of police and its administration. As more and more we are entering into the modern society and culture, the more we require the services of the so called ‘Khaki Worthy’ men i.e., the police personnel. Whether we talk of Indian police or the other nation’s police, they all have the same recognition as they have in India. But as already mentioned, their services and requirements are different after the like 26th November, 2008 incidents, where they without saving their own lives has sacrificed themselves without any hitch and without caring about their respective family members and wards. In other words, they are like our heroes and mentors who can guide us from the darkness of fear, militancy, corruption and other dark sides of life and so on. Now the question arises, if Gandhi would have been alive today, what would have been his reaction/opinion to the police and its functioning? Would he have some thing different in his mind now what he had been in his mind before the partition or would he be going to start some Satyagraha in the form of some improvement in the functioning of the police administration? Really these questions or rather night mares can come to any one’s mind, when there is too much confusion is prevailing in our minds, when there is too much corruption in the society and when the polices working is also in the questioning because of one or the other case throughout the India. It is matter of great concern that we have to thing over our administration and our practical approach because the police personals are also like us, they are part and parcel of our society and among one of us, so why we all are pin pointing towards them.
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...IAEME Publication
The goal of this study was to see how talent management affected employee retention in the selected IT organizations in Chennai. The fundamental issue was the difficulty to attract, hire, and retain talented personnel who perform well and the gap between supply and demand of talent acquisition and retaining them within the firms. The study's main goals were to determine the impact of talent management on employee retention in IT companies in Chennai, investigate talent management strategies that IT companies could use to improve talent acquisition, performance management, career planning and formulate retention strategies that the IT firms could use. The respondents were given a structured close-ended questionnaire with the 5 Point Likert Scale as part of the study's quantitative research design. The target population consisted of 289 IT professionals. The questionnaires were distributed and collected by the researcher directly. The Statistical Package for Social Sciences (SPSS) was used to collect and analyse the questionnaire responses. Hypotheses that were formulated for the various areas of the study were tested using a variety of statistical tests. The key findings of the study suggested that talent management had an impact on employee retention. The studies also found that there is a clear link between the implementation of talent management and retention measures. Management should provide enough training and development for employees, clarify job responsibilities, provide adequate remuneration packages, and recognise employees for exceptional performance.
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...IAEME Publication
Globally, Millions of dollars were spent by the organizations for employing skilled Information Technology (IT) professionals. It is costly to replace unskilled employees with IT professionals possessing technical skills and competencies that aid in interconnecting the business processes. The organization’s employment tactics were forced to alter by globalization along with technological innovations as they consistently diminish to remain lean, outsource to concentrate on core competencies along with restructuring/reallocate personnel to gather efficiency. As other jobs, organizations or professions have become reasonably more appropriate in a shifting employment landscape, the above alterations trigger both involuntary as well as voluntary turnover. The employee view on jobs is also afflicted by the COVID-19 pandemic along with the employee-driven labour market. So, having effective strategies is necessary to tackle the withdrawal rate of employees. By associating Emotional Intelligence (EI) along with Talent Management (TM) in the IT industry, the rise in attrition rate was analyzed in this study. Only 303 respondents were collected out of 350 participants to whom questionnaires were distributed. From the employees of IT organizations located in Bangalore (India), the data were congregated. A simple random sampling methodology was employed to congregate data as of the respondents. Generating the hypothesis along with testing is eventuated. The effect of EI and TM along with regression analysis between TM and EI was analyzed. The outcomes indicated that employee and Organizational Performance (OP) were elevated by effective EI along with TM.
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...IAEME Publication
By implementing talent management strategy, organizations would have the option to retain their skilled professionals while additionally working on their overall performance. It is the course of appropriately utilizing the ideal individuals, setting them up for future top positions, exploring and dealing with their performance, and holding them back from leaving the organization. It is employee performance that determines the success of every organization. The firm quickly obtains an upper hand over its rivals in the event that its employees having particular skills that cannot be duplicated by the competitors. Thus, firms are centred on creating successful talent management practices and processes to deal with the unique human resources. Firms are additionally endeavouring to keep their top/key staff since on the off chance that they leave; the whole store of information leaves the firm's hands. The study's objective was to determine the impact of talent management on organizational performance among the selected IT organizations in Chennai. The study recommends that talent management limitedly affects performance. On the off chance that this talent is appropriately management and implemented properly, organizations might benefit as much as possible from their maintained assets to support development and productivity, both monetarily and non-monetarily.
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...IAEME Publication
Banking regulations act of India, 1949 defines banking as “acceptance of deposits for the purpose of lending or investment from the public, repayment on demand or otherwise and withdrawable through cheques, drafts order or otherwise”, the major participants of the Indian financial system are commercial banks, the financial institution encompassing term lending institutions. Investments institutions, specialized financial institution and the state level development banks, non banking financial companies (NBFC) and other market intermediaries such has the stock brokers and money lenders are among the oldest of the certain variants of NBFC and the oldest market participants. The asset quality of banks is one of the most important indicators of their financial health. The Indian banking sector has been facing severe problems of increasing Non- Performing Assets (NPAs). The NPAs growth directly and indirectly affects the quality of assets and profitability of banks. It also shows the efficiency of banks credit risk management and the recovery effectiveness. NPA do not generate any income, whereas, the bank is required to make provisions for such as assets that why is a double edge weapon. This paper outlines the concept of quality of bank loans of different types like Housing, Agriculture and MSME loans in state Haryana of selected public and private sector banks. This study is highlighting problems associated with the role of commercial bank in financing Small and Medium Scale Enterprises (SME). The overall objective of the research was to assess the effect of the financing provisions existing for the setting up and operations of MSMEs in the country and to generate recommendations for more robust financing mechanisms for successful operation of the MSMEs, in turn understanding the impact of MSME loans on financial institutions due to NPA. There are many research conducted on the topic of Non- Performing Assets (NPA) Management, concerning particular bank, comparative study of public and private banks etc. In this paper the researcher is considering the aggregate data of selected public sector and private sector banks and attempts to compare the NPA of Housing, Agriculture and MSME loans in state Haryana of public and private sector banks. The tools used in the study are average and Anova test and variance. The findings reveal that NPA is common problem for both public and private sector banks and is associated with all types of loans either that is housing loans, agriculture loans and loans to SMES. NPAs of both public and private sector banks show the increasing trend. In 2010-11 GNPA of public and private sector were at same level it was 2% but after 2010-11 it increased in many fold and at present there is GNPA in some more than 15%. It shows the dark area of Indian banking sector.
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...IAEME Publication
An experiment conducted in this study found that BaSO4 changed Nylon 6's mechanical properties. By changing the weight ratios, BaSO4 was used to make Nylon 6. This Researcher looked into how hard Nylon-6/BaSO4 composites are and how well they wear. Experiments were done based on Taguchi design L9. Nylon-6/BaSO4 composites can be tested for their hardness number using a Rockwell hardness testing apparatus. On Nylon/BaSO4, the wear behavior was measured by a wear monitor, pinon-disc friction by varying reinforcement, sliding speed, and sliding distance, and the microstructure of the crack surfaces was observed by SEM. This study provides significant contributions to ultimate strength by increasing BaSO4 content up to 16% in the composites, and sliding speed contributes 72.45% to the wear rate
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...IAEME Publication
The majority of the population in India lives in villages. The village is the back bone of the country. Village or rural industries play an important role in the national economy, particularly in the rural development. Developing the rural economy is one of the key indicators towards a country’s success. Whether it be the need to look after the welfare of the farmers or invest in rural infrastructure, Governments have to ensure that rural development isn’t compromised. The economic development of our country largely depends on the progress of rural areas and the standard of living of rural masses. Village or rural industries play an important role in the national economy, particularly in the rural development. Rural entrepreneurship is based on stimulating local entrepreneurial talent and the subsequent growth of indigenous enterprises. It recognizes opportunity in the rural areas and accelerates a unique blend of resources either inside or outside of agriculture. Rural entrepreneurship brings an economic value to the rural sector by creating new methods of production, new markets, new products and generate employment opportunities thereby ensuring continuous rural development. Social Entrepreneurship has the direct and primary objective of serving the society along with the earning profits. So, social entrepreneurship is different from the economic entrepreneurship as its basic objective is not to earn profits but for providing innovative solutions to meet the society needs which are not taken care by majority of the entrepreneurs as they are in the business for profit making as a sole objective. So, the Social Entrepreneurs have the huge growth potential particularly in the developing countries like India where we have huge societal disparities in terms of the financial positions of the population. Still 22 percent of the Indian population is below the poverty line and also there is disparity among the rural & urban population in terms of families living under BPL. 25.7 percent of the rural population & 13.7 percent of the urban population is under BPL which clearly shows the disparity of the poor people in the rural and urban areas. The need to develop social entrepreneurship in agriculture is dictated by a large number of social problems. Such problems include low living standards, unemployment, and social tension. The reasons that led to the emergence of the practice of social entrepreneurship are the above factors. The research problem lays upon disclosing the importance of role of social entrepreneurship in rural development of India. The paper the tendencies of social entrepreneurship in India, to present successful examples of such business for providing recommendations how to improve situation in rural areas in terms of social entrepreneurship development. Indian government has made some steps towards development of social enterprises, social entrepreneurship, and social in- novation, but a lot remains to be improved.
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...IAEME Publication
Distribution system is a critical link between the electric power distributor and the consumers. Most of the distribution networks commonly used by the electric utility is the radial distribution network. However in this type of network, it has technical issues such as enormous power losses which affect the quality of the supply. Nowadays, the introduction of Distributed Generation (DG) units in the system help improve and support the voltage profile of the network as well as the performance of the system components through power loss mitigation. In this study network reconfiguration was done using two meta-heuristic algorithms Particle Swarm Optimization and Gravitational Search Algorithm (PSO-GSA) to enhance power quality and voltage profile in the system when simultaneously applied with the DG units. Backward/Forward Sweep Method was used in the load flow analysis and simulated using the MATLAB program. Five cases were considered in the Reconfiguration based on the contribution of DG units. The proposed method was tested using IEEE 33 bus system. Based on the results, there was a voltage profile improvement in the system from 0.9038 p.u. to 0.9594 p.u.. The integration of DG in the network also reduced power losses from 210.98 kW to 69.3963 kW. Simulated results are drawn to show the performance of each case.
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...IAEME Publication
Manufacturing industries have witnessed an outburst in productivity. For productivity improvement manufacturing industries are taking various initiatives by using lean tools and techniques. However, in different manufacturing industries, frugal approach is applied in product design and services as a tool for improvement. Frugal approach contributed to prove less is more and seems indirectly contributing to improve productivity. Hence, there is need to understand status of frugal approach application in manufacturing industries. All manufacturing industries are trying hard and putting continuous efforts for competitive existence. For productivity improvements, manufacturing industries are coming up with different effective and efficient solutions in manufacturing processes and operations. To overcome current challenges, manufacturing industries have started using frugal approach in product design and services. For this study, methodology adopted with both primary and secondary sources of data. For primary source interview and observation technique is used and for secondary source review has done based on available literatures in website, printed magazines, manual etc. An attempt has made for understanding application of frugal approach with the study of manufacturing industry project. Manufacturing industry selected for this project study is Mahindra and Mahindra Ltd. This paper will help researcher to find the connections between the two concepts productivity improvement and frugal approach. This paper will help to understand significance of frugal approach for productivity improvement in manufacturing industry. This will also help to understand current scenario of frugal approach in manufacturing industry. In manufacturing industries various process are involved to deliver the final product. In the process of converting input in to output through manufacturing process productivity plays very critical role. Hence this study will help to evolve status of frugal approach in productivity improvement programme. The notion of frugal can be viewed as an approach towards productivity improvement in manufacturing industries.
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENTIAEME Publication
In this paper, we investigated a queuing model of fuzzy environment-based a multiple channel queuing model (M/M/C) ( /FCFS) and study its performance under realistic conditions. It applies a nonagonal fuzzy number to analyse the relevant performance of a multiple channel queuing model (M/M/C) ( /FCFS). Based on the sub interval average ranking method for nonagonal fuzzy number, we convert fuzzy number to crisp one. Numerical results reveal that the efficiency of this method. Intuitively, the fuzzy environment adapts well to a multiple channel queuing models (M/M/C) ( /FCFS) are very well.