A major advantage of primary data collection is that Multiple Choice I.pdf
•
0 likes•6 views
A major advantage of primary data collection is that Multiple Choice It can be easily accessed through syndicated databases. It is less expensive to collect than secondary data. it is general enough to meet many different researchers' needs. it offers behavioral insights generally not available from secondary research. it takes less time to collect than secondary data. What is neuromarketing? Multiple Choice the use of in-depth intervlews regarding potential product ideas that are used to map detalled networks of information storage in the brain the analysis of consumer comments on social media in order to understand consumers' thoughts and opinions the use of psychoiogical principles to design matketing research studies the use of neural networks to perform data mining and develop marketing insights the study of consumers' brain patterns to determine their responses to markeling communications. products, or services.
Report
Share
Report
Share
Download to read offline
Recommended
The Web and the Collective Intelligence - How to use Collective Intelligence ...
The Web and the Collective intelligence - How to use Collective Intelligence techniques to ensure that your web application can extract valuable data from its usage and deliver that value right back to the users.
Web 2.0 Collective Intelligence - How to use collective intelligence techniqu...
Source: http://www.helioteixeira.org/ How to use Collective Intelligence techniques to ensure that your web application can extract valuable data from its usage and deliver that value right back to the users. (MODULE 1)
Data Mining Applications And Feature Scope Survey
We have concentrated on a range of strategies, methodologies, and distinct fields of research in this article, all of which are useful and relevant in the field of data mining technologies. As we all know, numerous multinational corporations and major corporations operate in various parts of the world. Each location of business may create significant amounts of data. Corporate decision-makers need access to all of these data sources in order to make strategic decisions.
3 marketing research
A marketing decision support system (DSS) helps managers obtain and manipulate information to make decisions. Marketing research involves collecting and analyzing data relevant to marketing decisions. It follows steps such as defining problems, planning research design, collecting primary or secondary data, and analyzing and reporting results. Marketing research is important for decision-making, product development, and understanding customers.
Chapter 9 (social media for consumer insights)
This document discusses various methods that marketers can use to conduct research on social media, including both qualitative and quantitative approaches. It describes primary and secondary social media research methods such as observational research, ethnography, netnography, monitoring and tracking, sentiment analysis, and content analysis. The document also cautions that social media research faces challenges such as ensuring accuracy in analysis and avoiding errors and biases that can occur from nonresponse or inadequate sampling.
chapter 8.pdf
This document discusses various methods for conducting social media research for marketing insights. It describes primary research approaches like surveys and experiments conducted directly on social media. Qualitative approaches include observational research, ethnography, and netnography which adapts ethnographic techniques to online communities. Quantitative research methods covered include social media monitoring, sentiment analysis to determine attitudes, and content analysis to classify themes. The document cautions that social media research faces challenges like ensuring accurate sentiment analysis given linguistic nuances, and avoiding coverage errors from non-response bias.
ETHICAL ISSUES WITH CUSTOMER DATA COLLECTION
Data mining involves collecting and analyzing large amounts of customer data. While this can provide commercial benefits, it also raises ethical issues regarding customer privacy. Some key ethical challenges include ambiguity around how social networks label relationships, uncertainty around future uses of customer data by companies, and a lack of transparency around passive collection of mobile location data. To address these challenges, companies should focus on ethical data mining practices like verifying data sources, respecting customer expectations of privacy, developing trust through transparency and control over data access. Regulators also need to continue updating laws and regulations to balance the benefits of data analytics with protecting individual privacy rights.
Lamb N9
A decision support system (DSS) provides marketing managers with easy access to data to help make marketing decisions. It allows interactive exploration of data to answer "what if" questions. Marketing research involves collecting and analyzing data to address specific marketing problems and inform decision making. It follows steps including defining the problem, designing the research, collecting and analyzing data, and reporting results. The internet has greatly impacted marketing research by facilitating online surveys, focus groups, and easier access to secondary data sources. Scanner-based research also provides useful insights by monitoring consumer purchase behavior and relating it to marketing mix variables.
Recommended
The Web and the Collective Intelligence - How to use Collective Intelligence ...
The Web and the Collective intelligence - How to use Collective Intelligence techniques to ensure that your web application can extract valuable data from its usage and deliver that value right back to the users.
Web 2.0 Collective Intelligence - How to use collective intelligence techniqu...
Source: http://www.helioteixeira.org/ How to use Collective Intelligence techniques to ensure that your web application can extract valuable data from its usage and deliver that value right back to the users. (MODULE 1)
Data Mining Applications And Feature Scope Survey
We have concentrated on a range of strategies, methodologies, and distinct fields of research in this article, all of which are useful and relevant in the field of data mining technologies. As we all know, numerous multinational corporations and major corporations operate in various parts of the world. Each location of business may create significant amounts of data. Corporate decision-makers need access to all of these data sources in order to make strategic decisions.
3 marketing research
A marketing decision support system (DSS) helps managers obtain and manipulate information to make decisions. Marketing research involves collecting and analyzing data relevant to marketing decisions. It follows steps such as defining problems, planning research design, collecting primary or secondary data, and analyzing and reporting results. Marketing research is important for decision-making, product development, and understanding customers.
Chapter 9 (social media for consumer insights)
This document discusses various methods that marketers can use to conduct research on social media, including both qualitative and quantitative approaches. It describes primary and secondary social media research methods such as observational research, ethnography, netnography, monitoring and tracking, sentiment analysis, and content analysis. The document also cautions that social media research faces challenges such as ensuring accuracy in analysis and avoiding errors and biases that can occur from nonresponse or inadequate sampling.
chapter 8.pdf
This document discusses various methods for conducting social media research for marketing insights. It describes primary research approaches like surveys and experiments conducted directly on social media. Qualitative approaches include observational research, ethnography, and netnography which adapts ethnographic techniques to online communities. Quantitative research methods covered include social media monitoring, sentiment analysis to determine attitudes, and content analysis to classify themes. The document cautions that social media research faces challenges like ensuring accurate sentiment analysis given linguistic nuances, and avoiding coverage errors from non-response bias.
ETHICAL ISSUES WITH CUSTOMER DATA COLLECTION
Data mining involves collecting and analyzing large amounts of customer data. While this can provide commercial benefits, it also raises ethical issues regarding customer privacy. Some key ethical challenges include ambiguity around how social networks label relationships, uncertainty around future uses of customer data by companies, and a lack of transparency around passive collection of mobile location data. To address these challenges, companies should focus on ethical data mining practices like verifying data sources, respecting customer expectations of privacy, developing trust through transparency and control over data access. Regulators also need to continue updating laws and regulations to balance the benefits of data analytics with protecting individual privacy rights.
Lamb N9
A decision support system (DSS) provides marketing managers with easy access to data to help make marketing decisions. It allows interactive exploration of data to answer "what if" questions. Marketing research involves collecting and analyzing data to address specific marketing problems and inform decision making. It follows steps including defining the problem, designing the research, collecting and analyzing data, and reporting results. The internet has greatly impacted marketing research by facilitating online surveys, focus groups, and easier access to secondary data sources. Scanner-based research also provides useful insights by monitoring consumer purchase behavior and relating it to marketing mix variables.
Exploring Data Wealth: Data Mining Insights
A data mining presentation is a structured discourse aimed at elucidating the concepts, methodologies, and outcomes of data mining endeavors. Typically delivered in a formal or professional setting, such as academic conferences, corporate boardrooms, or industry seminars, a data mining presentation encompasses various aspects. These may include an introduction to data mining, its importance, and applications across diverse domains like business intelligence, healthcare, finance, and more.
The presentation often delves into the fundamental techniques employed in data mining, such as classification, clustering, association rule mining, and anomaly detection. It may also highlight the tools and technologies utilized, ranging from traditional statistical methods to advanced machine learning algorithms and artificial intelligence frameworks.
ONLINE POLICIES TO ENSURE CUSTOMER PRIVACY IN ONLI.docx
ONLINE POLICIES TO ENSURE CUSTOMER PRIVACY IN ONLINE BANKING
Introduction
With evolution in Information technology, many industries have extended their operations by going on internet. Information management primary focus was on technology initially, but later companies realized that information will be valuable to organization only if certain policies and procedures are implemented to control, govern and monitor the analysis, use, access, protection and retention of that information. Banking industry has undergone structural and performance changes over time and online banking transformation is the latest among all transitions, there are not many innovations that has transitioned the business of banking as soon as the online banking revolution. This transition enabled banking industries to offer its services to their consumers anytime and anywhere. Online banking was first implemented in US called Security First Network Bank since then this development had wide spread across all countries. Services offered by online banking has been categorized into three levels, the first one is considered as basic i.e., bank’s websites which is used to share information regarding the different services and products offered to the new and existing customers by the bank and also for answering basic queries of the customers, the second level is called transactional websites which allows its customers to provide their information or submit applications for services offered, view their account balances, access any other available services but this level doesn’t allow any fund-based transactions, and the third level is considered as fully transactional where customers can perform fun-based transaction and pay any other bulls or make any purchases. Online banking also came with many potential risks which increased the necessity to enhance the mechanism of risk prevention, to escalate the formation of standards and laws relating to e-commerce, and to strengthen the information development. The research will be primary focused on the following question: Why is it so important for banking industry to consider the factors of privacy in policy-making?
Background
Ensuring privacy is very vital objective in every organization as it relates to the trust of its customers. Though online banking has made all the operations user friendly it also created many challenges in terms of privacy of personnel and financial security. Cyber-thieves took the advantage of this evolution by pretending and accessing the online account illegally to rob money and this also led to the exposure of personal and private information to the hackers. Governance of information has emerged into banking industry to overcome such threats and control the movement and creation of information. The main objective of information governance and policy inventions in banking domain is to avoid the unauthorized access to the data, to shield the frequent use of database and network that add value to or ...
A LITERATURE REVIEW ON DATAMINING
The document provides a literature review on data mining. It discusses data mining concepts such as classification and prediction. Data mining has roots in machine learning, statistics, and artificial intelligence. It involves extracting patterns from large datasets. The document outlines several uses and functions of data mining, including classification, clustering, and anomaly detection. It also gives examples of data mining applications in fields like medicine, banking, insurance, and electronic commerce.
Increasing the Investment’s Opportunities in Kingdom of Saudi Arabia By Study...
Increasing the Investment’s Opportunities in Kingdom of Saudi Arabia By Study...AIRCC Publishing Corporation
Social networking sites are a significant source of information to know the behavior of users and to know
what is occupying society of all ages and accordingly helpful information can be provided to specialists
and decision-makers. According to official sources, 98.43% of Saudi youth use social networking sites. The
study and analysis of social media data are done to provide the necessary information to increase
investment opportunities within the Kingdom of Saudi Arabia, by studying and analyzing what people
occupy on the communication sites through their tweets about the labor market and investment. Given the
huge volume of data and also its randomness, a survey of the data will be done and collected from through
keywords, the priority of arranging the data, and recording it as (positive - negative - mixed). The study
analysis and conclusion will be based on data-mining and its techniques of analysis and deduction
.INCREASING THE INVESTMENT’S OPPORTUNITIES IN KINGDOM OF SAUDI ARABIA BY STUDY...
Social networking sites are a significant source of information to know the behavior of users and to know
what is occupying society of all ages and accordingly helpful information can be provided to specialists
and decision-makers. According to official sources, 98.43% of Saudi youth use social networking sites. The
study and analysis of social media data are done to provide the necessary information to increase
investment opportunities within the Kingdom of Saudi Arabia, by studying and analyzing what people
occupy on the communication sites through their tweets about the labor market and investment. Given the
huge volume of data and also its randomness, a survey of the data will be done and collected from through
keywords, the priority of arranging the data, and recording it as (positive - negative - mixed). The study
analysis and conclusion will be based on data-mining and its techniques of analysis and deduction.
notes_dmdw_chap1.docx
INTRODUCTION TO DATA MINING
This word document contain the notes of data mining. It tells the basics of data mining like what is Data mining, it's types, issues, advantages, disadvantages, applications, social implications, basis tasks and KDD process etc. While making this notes, I had taken help from different websites of google.
Running Head CONSUMER BEHAVIOR ANALYSISCONSUMER BEHAVIOR ANAL
Running Head: CONSUMER BEHAVIOR ANALYSIS
CONSUMER BEHAVIOR ANALYSIS 10
CONSUMER BEHAVIOR ANALYSIS
Student’s Name: HEJIE ZHENG
Course: CIS4321
Date:04/20/19
Contents
PROPOSAL 2
CONSUMER BEHAVIOUR ANALYSIS 2
SIGNIFICANCE OF ANALYSING CONSUMER BEHAVIOURS. 3
CONSUMER BEHAVIOUR DATA SET 3
IMPLEMENTATION OF CUSTOMER BEHAVIOUR DATA SET 5
CUSTOMER BEHAVIOR DATA MINING TECHNIQUES 7
Association Mining 7
Transaction study unit 7
CONCLUSION 7
REFERENCES 8
PROPOSAL
The modern consumer behavior perspective is just the same as the traditional consumer behavior perspective.CONSUMER BEHAVIOUR ANALYSIS
Our project is consumer behavior analysis. Research has been conducted and presented on the behavior of consumers and how the data obtained is important in solving real-world problems. In analyzing consumer behavior in this paper, we will embrace data mining techniques. Each data mining technique has its pros and cons. For this reason, we will choose the best technique to mine our database. The main objective is identifying psychological conditions that affect customer’s behavior at the time of purchase and the key data mining tool that is convenient for each method of purchase. Furthermore, there is an association rule that is employed in customer mining from the sales data in the retail industry.
SIGNIFICANCE OF ANALYSING CONSUMER BEHAVIOURS.
Analyzing consumer behavior is important as the data obtained is converted to a format that is statistical and a technical technique is used to analyses the data (Stoll, 2018). Business enterprises also use the knowledge of consumer behavior in the following ways:
I. Determining the psychology of consumers in terms of their feeling, reasoning, and thinking and how best they can choose between the alternatives.
II. Businesses also determine how the business environment affects consumers’ mindset.
III. Businesses can determine the behavior of customers at the time of purchasing their goods and services.
IV. Companies also find out how customer motivation affects customers' choice of goods of utmost importance.
V. Finally, Business finds ways of improving their marketing strategies based on the available data that they will gather.CONSUMER BEHAVIOUR DATA SET
The modern consumer behavior perspective is just the same as the traditional consumer behavior perspective. The patterns used by consumers in the day to day lives are also applicable in the online context. Koufaris (2002) in his article argues that online consumer behaviors are similar to traditional behaviors. However, online consumers have additional advantages as besides being customers, they easily access the information about the goods and services they want. The contents of our datasets pertaining the consumer behaviors can be found in Montgomery, Li, Srinivasan, and Liechty (2004.)
In the present world, a normal consumer is regarded as a constant generator whom his or her data is treated in diverse contexts as unstructured, contemporary ...
Data Mining: What is Data Mining?
Data Mining: What is Data Mining?
History
How data mining works?
Data Mining Techniques.
Data Mining Process.
(The Cross-Industry Standard Process)
Data Mining: Applications.
Advantages and Disadvantages of Data Mining.
Conclusion.
Fundamentals of data mining and its applications
Data mining involves applying intelligent methods to extract patterns from large data sets. It is used to discover useful knowledge from a variety of data sources. The overall goal is to extract human-understandable knowledge that can be used for decision-making.
The document discusses the data mining process, which typically involves problem definition, data exploration, data preparation, modeling, evaluation, and deployment. It also covers data mining software tools and techniques for ensuring privacy, such as randomization and k-anonymity. Finally, it outlines several applications of data mining in fields like industry, science, music, and more.
Wabingga quantitative market research application
Survey research methods have several advantages over qualitative methods including standardization, efficient collection of large amounts of information, and revealing subgroup differences. However, survey methods also have disadvantages such as respondents potentially providing inaccurate, dishonest, or uncomfortable answers due to a lack of memory or boredom.
Technology has significantly impacted data collection methods over time. Early data collection was labor intensive and error-prone using paper surveys, but computer-based surveys now allow for broad, low-cost, and fast collection and analysis of data without mistakes.
As a student conducting quantitative market research, marketing strategies should be based on gathered data results and set specific, attainable goals. The strategies consider how to make goals a reality based on audiences
The Survey of Data Mining Applications And Feature Scope
In this paper we have focused a variety of techniques, approaches and different areas of the research which
are helpful and marked as the important field of data mining Technologies. As we are aware that many MNC’s
and large organizations are operated in different places of the different countries. Each place of operation
may generate large volumes of data. Corporate decision makers require access from all such sources and
take strategic decisions .The data warehouse is used in the significant business value by improving the
effectiveness of managerial decision-making. In an uncertain and highly competitive business
environment, the value of strategic information systems such as these are easily recognized however in
today’s business environment, efficiency or speed is not the only key for competitiveness. This type of huge
amount of data’s are available in the form of tera- to peta-bytes which has drastically changed in the areas
of science and engineering. To analyze, manage and make a decision of such type of huge amount of data
we need techniques called the data mining which will transforming in many fields. This paper imparts more
number of applications of the data mining and also o focuses scope of the data mining which will helpful in
the further research.
Analysis on Recommended System for Web Information Retrieval Using HMM
Web is a rich domain of data and knowledge, which is spread over the world in unstructured manner. The
number of users is continuously access the information over the internet. Web mining is an application of data
mining where web related data is extracted and manipulated for extracting knowledge. The data mining is used
in the domain of web information mining is refers as web mining, that is further divided into three major
domains web uses mining, web content mining and web structure mining. The proposed work is intended to
work with web uses mining. The concept of web mining is to improve the user feedbacks and user navigation
pattern discovery for a CRM system. Finally a new algorithm HMM is used for finding the pattern in data,
which method promises to provide much accurate recommendation.
Future of market research
Modern market research tools like IoT, AI, and VR are transforming the industry. IoT collects consumer data through smart devices to customize insurance premiums and product offerings. AI can detect reader disengagement online and predict future behaviors. VR provides an immersive experience for testing new products with customers. However, traditional methods like surveys still have value in understanding consumer motivations. The future will integrate new and traditional methods by linking various data sources to gain deeper insights.
Marketing Research & CMO
This document discusses emerging trends in marketing research and the changing role of the CMO. [1] New data sources like social media analytics and online panels are becoming more important alongside traditional TV ratings and surveys. [2] New research tools like listening posts, online communities, neuroscience techniques, and mobile research allow for more passive data collection. [3] While most marketing research still relies on old methods, emerging approaches like big data and digital metrics are where budgets are increasingly focused to help drive business and marketing decisions.
Information entanglement
The document discusses future developments in cognitive-based knowledge acquisition systems using big data. It covers preparing students and the cognitive landscape for big data analytics through tools like concept maps and visualization. It also addresses challenges like determining where information comes from, whether humans or computers can best identify patterns in data, and whether autonomous systems will eventually replace human decision making.
Data Mining: Application and trends in data mining
This document provides an overview of application trends in data mining. It discusses how data mining is used for financial data analysis, customer analysis in retail and telecommunications, biological data analysis, scientific research, intrusion detection, and more. It also outlines statistical and visual data mining techniques, security considerations, and how to assess a data mining system. The document explores both current and emerging trends in data mining across various domains.
Data Mining: Application and trends in data mining
This document provides an overview of application trends in data mining. It discusses how data mining is used for financial data analysis, customer analysis in retail and telecommunications, biological data analysis, scientific research, intrusion detection, and more. It also outlines statistical and visualization techniques used in data mining as well as privacy and security considerations. The document concludes by encouraging the reader to explore additional self-help tutorials on data mining tools and techniques.
Advanced Techniques in Social Media Data Analysis.docx
Analyzing social media data has become increasingly crucial for gaining insights into user behavior, market trends, and overall public sentiment. Advanced techniques in social media data analysis involve utilizing sophisticated tools and methodologies to extract meaningful information.
TYPES OF DATA COLLECTION
What is Data Collection?Types of Data Collection ,IMPORTANCE OF DATA COLLECTION,7 top data collection methods.
Data mining by_ashok
Data mining involves analyzing large datasets to discover patterns using techniques from machine learning, statistics, and database systems. It is used to extract useful information from large datasets and predict future outcomes. The goal is often predictive analysis to forecast behaviors. The data mining process involves data preparation, model building and validation, and model deployment. Common tools for data mining include neural networks, decision trees, rule induction, genetic algorithms, and nearest neighbor algorithms. While data mining provides benefits like improved marketing and fraud detection, it also raises privacy and security issues regarding personal information.
A microbe is cultured in broth with an oxygen gradient and uniform gro.pdf
A microbe is cultured in broth with an oxygen gradient and uniform growth is observed
throughout the entire tube. The organism is most likely a(n) _____.
aerotolerant anaerobe
facultative anaerobe
obligate anaerobe
microaerophile
obligate aerobe
A microbe is only capable of growth at pH range of 8.5-10 in the presence of atmospheric levels
of oxygen. Which statements are correct? Mark all that apply.
The microbe is an obligate aerobe
The microbe is likely to be a human pathogen
The microbe is a mesophile
The microbe is an alkiliphile
Jams and jellies tend to have long shelf lives when kept refrigerated because
the refrigeration temperature is too cold and prevents microbial growth
their osmolarity causes plasmolysis of most microbes that may get into the jam or jelly
their pH is too acidic for most microbes, causing denaturation of their proteins and enzymes
their osmolarity causes osmotic lysis of most microbes that may get into the jam or jelly.
A microbe that thrives at depths of at least 1000 feet in the ocean sh.pdf
A microbe that thrives at depths of at least 1000 feet in the ocean should have which of
these characteristics. Choose all that apply.
A. barophile
B. mesophile
C. halophile
D. acidophile
E. psychrophile
A. barophile
B. mesophile
C. halophile
D. acidophile
E. psychrophile.
More Related Content
Similar to A major advantage of primary data collection is that Multiple Choice I.pdf
Exploring Data Wealth: Data Mining Insights
A data mining presentation is a structured discourse aimed at elucidating the concepts, methodologies, and outcomes of data mining endeavors. Typically delivered in a formal or professional setting, such as academic conferences, corporate boardrooms, or industry seminars, a data mining presentation encompasses various aspects. These may include an introduction to data mining, its importance, and applications across diverse domains like business intelligence, healthcare, finance, and more.
The presentation often delves into the fundamental techniques employed in data mining, such as classification, clustering, association rule mining, and anomaly detection. It may also highlight the tools and technologies utilized, ranging from traditional statistical methods to advanced machine learning algorithms and artificial intelligence frameworks.
ONLINE POLICIES TO ENSURE CUSTOMER PRIVACY IN ONLI.docx
ONLINE POLICIES TO ENSURE CUSTOMER PRIVACY IN ONLINE BANKING
Introduction
With evolution in Information technology, many industries have extended their operations by going on internet. Information management primary focus was on technology initially, but later companies realized that information will be valuable to organization only if certain policies and procedures are implemented to control, govern and monitor the analysis, use, access, protection and retention of that information. Banking industry has undergone structural and performance changes over time and online banking transformation is the latest among all transitions, there are not many innovations that has transitioned the business of banking as soon as the online banking revolution. This transition enabled banking industries to offer its services to their consumers anytime and anywhere. Online banking was first implemented in US called Security First Network Bank since then this development had wide spread across all countries. Services offered by online banking has been categorized into three levels, the first one is considered as basic i.e., bank’s websites which is used to share information regarding the different services and products offered to the new and existing customers by the bank and also for answering basic queries of the customers, the second level is called transactional websites which allows its customers to provide their information or submit applications for services offered, view their account balances, access any other available services but this level doesn’t allow any fund-based transactions, and the third level is considered as fully transactional where customers can perform fun-based transaction and pay any other bulls or make any purchases. Online banking also came with many potential risks which increased the necessity to enhance the mechanism of risk prevention, to escalate the formation of standards and laws relating to e-commerce, and to strengthen the information development. The research will be primary focused on the following question: Why is it so important for banking industry to consider the factors of privacy in policy-making?
Background
Ensuring privacy is very vital objective in every organization as it relates to the trust of its customers. Though online banking has made all the operations user friendly it also created many challenges in terms of privacy of personnel and financial security. Cyber-thieves took the advantage of this evolution by pretending and accessing the online account illegally to rob money and this also led to the exposure of personal and private information to the hackers. Governance of information has emerged into banking industry to overcome such threats and control the movement and creation of information. The main objective of information governance and policy inventions in banking domain is to avoid the unauthorized access to the data, to shield the frequent use of database and network that add value to or ...
A LITERATURE REVIEW ON DATAMINING
The document provides a literature review on data mining. It discusses data mining concepts such as classification and prediction. Data mining has roots in machine learning, statistics, and artificial intelligence. It involves extracting patterns from large datasets. The document outlines several uses and functions of data mining, including classification, clustering, and anomaly detection. It also gives examples of data mining applications in fields like medicine, banking, insurance, and electronic commerce.
Increasing the Investment’s Opportunities in Kingdom of Saudi Arabia By Study...
Increasing the Investment’s Opportunities in Kingdom of Saudi Arabia By Study...AIRCC Publishing Corporation
Social networking sites are a significant source of information to know the behavior of users and to know
what is occupying society of all ages and accordingly helpful information can be provided to specialists
and decision-makers. According to official sources, 98.43% of Saudi youth use social networking sites. The
study and analysis of social media data are done to provide the necessary information to increase
investment opportunities within the Kingdom of Saudi Arabia, by studying and analyzing what people
occupy on the communication sites through their tweets about the labor market and investment. Given the
huge volume of data and also its randomness, a survey of the data will be done and collected from through
keywords, the priority of arranging the data, and recording it as (positive - negative - mixed). The study
analysis and conclusion will be based on data-mining and its techniques of analysis and deduction
.INCREASING THE INVESTMENT’S OPPORTUNITIES IN KINGDOM OF SAUDI ARABIA BY STUDY...
Social networking sites are a significant source of information to know the behavior of users and to know
what is occupying society of all ages and accordingly helpful information can be provided to specialists
and decision-makers. According to official sources, 98.43% of Saudi youth use social networking sites. The
study and analysis of social media data are done to provide the necessary information to increase
investment opportunities within the Kingdom of Saudi Arabia, by studying and analyzing what people
occupy on the communication sites through their tweets about the labor market and investment. Given the
huge volume of data and also its randomness, a survey of the data will be done and collected from through
keywords, the priority of arranging the data, and recording it as (positive - negative - mixed). The study
analysis and conclusion will be based on data-mining and its techniques of analysis and deduction.
notes_dmdw_chap1.docx
INTRODUCTION TO DATA MINING
This word document contain the notes of data mining. It tells the basics of data mining like what is Data mining, it's types, issues, advantages, disadvantages, applications, social implications, basis tasks and KDD process etc. While making this notes, I had taken help from different websites of google.
Running Head CONSUMER BEHAVIOR ANALYSISCONSUMER BEHAVIOR ANAL
Running Head: CONSUMER BEHAVIOR ANALYSIS
CONSUMER BEHAVIOR ANALYSIS 10
CONSUMER BEHAVIOR ANALYSIS
Student’s Name: HEJIE ZHENG
Course: CIS4321
Date:04/20/19
Contents
PROPOSAL 2
CONSUMER BEHAVIOUR ANALYSIS 2
SIGNIFICANCE OF ANALYSING CONSUMER BEHAVIOURS. 3
CONSUMER BEHAVIOUR DATA SET 3
IMPLEMENTATION OF CUSTOMER BEHAVIOUR DATA SET 5
CUSTOMER BEHAVIOR DATA MINING TECHNIQUES 7
Association Mining 7
Transaction study unit 7
CONCLUSION 7
REFERENCES 8
PROPOSAL
The modern consumer behavior perspective is just the same as the traditional consumer behavior perspective.CONSUMER BEHAVIOUR ANALYSIS
Our project is consumer behavior analysis. Research has been conducted and presented on the behavior of consumers and how the data obtained is important in solving real-world problems. In analyzing consumer behavior in this paper, we will embrace data mining techniques. Each data mining technique has its pros and cons. For this reason, we will choose the best technique to mine our database. The main objective is identifying psychological conditions that affect customer’s behavior at the time of purchase and the key data mining tool that is convenient for each method of purchase. Furthermore, there is an association rule that is employed in customer mining from the sales data in the retail industry.
SIGNIFICANCE OF ANALYSING CONSUMER BEHAVIOURS.
Analyzing consumer behavior is important as the data obtained is converted to a format that is statistical and a technical technique is used to analyses the data (Stoll, 2018). Business enterprises also use the knowledge of consumer behavior in the following ways:
I. Determining the psychology of consumers in terms of their feeling, reasoning, and thinking and how best they can choose between the alternatives.
II. Businesses also determine how the business environment affects consumers’ mindset.
III. Businesses can determine the behavior of customers at the time of purchasing their goods and services.
IV. Companies also find out how customer motivation affects customers' choice of goods of utmost importance.
V. Finally, Business finds ways of improving their marketing strategies based on the available data that they will gather.CONSUMER BEHAVIOUR DATA SET
The modern consumer behavior perspective is just the same as the traditional consumer behavior perspective. The patterns used by consumers in the day to day lives are also applicable in the online context. Koufaris (2002) in his article argues that online consumer behaviors are similar to traditional behaviors. However, online consumers have additional advantages as besides being customers, they easily access the information about the goods and services they want. The contents of our datasets pertaining the consumer behaviors can be found in Montgomery, Li, Srinivasan, and Liechty (2004.)
In the present world, a normal consumer is regarded as a constant generator whom his or her data is treated in diverse contexts as unstructured, contemporary ...
Data Mining: What is Data Mining?
Data Mining: What is Data Mining?
History
How data mining works?
Data Mining Techniques.
Data Mining Process.
(The Cross-Industry Standard Process)
Data Mining: Applications.
Advantages and Disadvantages of Data Mining.
Conclusion.
Fundamentals of data mining and its applications
Data mining involves applying intelligent methods to extract patterns from large data sets. It is used to discover useful knowledge from a variety of data sources. The overall goal is to extract human-understandable knowledge that can be used for decision-making.
The document discusses the data mining process, which typically involves problem definition, data exploration, data preparation, modeling, evaluation, and deployment. It also covers data mining software tools and techniques for ensuring privacy, such as randomization and k-anonymity. Finally, it outlines several applications of data mining in fields like industry, science, music, and more.
Wabingga quantitative market research application
Survey research methods have several advantages over qualitative methods including standardization, efficient collection of large amounts of information, and revealing subgroup differences. However, survey methods also have disadvantages such as respondents potentially providing inaccurate, dishonest, or uncomfortable answers due to a lack of memory or boredom.
Technology has significantly impacted data collection methods over time. Early data collection was labor intensive and error-prone using paper surveys, but computer-based surveys now allow for broad, low-cost, and fast collection and analysis of data without mistakes.
As a student conducting quantitative market research, marketing strategies should be based on gathered data results and set specific, attainable goals. The strategies consider how to make goals a reality based on audiences
The Survey of Data Mining Applications And Feature Scope
In this paper we have focused a variety of techniques, approaches and different areas of the research which
are helpful and marked as the important field of data mining Technologies. As we are aware that many MNC’s
and large organizations are operated in different places of the different countries. Each place of operation
may generate large volumes of data. Corporate decision makers require access from all such sources and
take strategic decisions .The data warehouse is used in the significant business value by improving the
effectiveness of managerial decision-making. In an uncertain and highly competitive business
environment, the value of strategic information systems such as these are easily recognized however in
today’s business environment, efficiency or speed is not the only key for competitiveness. This type of huge
amount of data’s are available in the form of tera- to peta-bytes which has drastically changed in the areas
of science and engineering. To analyze, manage and make a decision of such type of huge amount of data
we need techniques called the data mining which will transforming in many fields. This paper imparts more
number of applications of the data mining and also o focuses scope of the data mining which will helpful in
the further research.
Analysis on Recommended System for Web Information Retrieval Using HMM
Web is a rich domain of data and knowledge, which is spread over the world in unstructured manner. The
number of users is continuously access the information over the internet. Web mining is an application of data
mining where web related data is extracted and manipulated for extracting knowledge. The data mining is used
in the domain of web information mining is refers as web mining, that is further divided into three major
domains web uses mining, web content mining and web structure mining. The proposed work is intended to
work with web uses mining. The concept of web mining is to improve the user feedbacks and user navigation
pattern discovery for a CRM system. Finally a new algorithm HMM is used for finding the pattern in data,
which method promises to provide much accurate recommendation.
Future of market research
Modern market research tools like IoT, AI, and VR are transforming the industry. IoT collects consumer data through smart devices to customize insurance premiums and product offerings. AI can detect reader disengagement online and predict future behaviors. VR provides an immersive experience for testing new products with customers. However, traditional methods like surveys still have value in understanding consumer motivations. The future will integrate new and traditional methods by linking various data sources to gain deeper insights.
Marketing Research & CMO
This document discusses emerging trends in marketing research and the changing role of the CMO. [1] New data sources like social media analytics and online panels are becoming more important alongside traditional TV ratings and surveys. [2] New research tools like listening posts, online communities, neuroscience techniques, and mobile research allow for more passive data collection. [3] While most marketing research still relies on old methods, emerging approaches like big data and digital metrics are where budgets are increasingly focused to help drive business and marketing decisions.
Information entanglement
The document discusses future developments in cognitive-based knowledge acquisition systems using big data. It covers preparing students and the cognitive landscape for big data analytics through tools like concept maps and visualization. It also addresses challenges like determining where information comes from, whether humans or computers can best identify patterns in data, and whether autonomous systems will eventually replace human decision making.
Data Mining: Application and trends in data mining
This document provides an overview of application trends in data mining. It discusses how data mining is used for financial data analysis, customer analysis in retail and telecommunications, biological data analysis, scientific research, intrusion detection, and more. It also outlines statistical and visual data mining techniques, security considerations, and how to assess a data mining system. The document explores both current and emerging trends in data mining across various domains.
Data Mining: Application and trends in data mining
This document provides an overview of application trends in data mining. It discusses how data mining is used for financial data analysis, customer analysis in retail and telecommunications, biological data analysis, scientific research, intrusion detection, and more. It also outlines statistical and visualization techniques used in data mining as well as privacy and security considerations. The document concludes by encouraging the reader to explore additional self-help tutorials on data mining tools and techniques.
Advanced Techniques in Social Media Data Analysis.docx
Analyzing social media data has become increasingly crucial for gaining insights into user behavior, market trends, and overall public sentiment. Advanced techniques in social media data analysis involve utilizing sophisticated tools and methodologies to extract meaningful information.
TYPES OF DATA COLLECTION
What is Data Collection?Types of Data Collection ,IMPORTANCE OF DATA COLLECTION,7 top data collection methods.
Data mining by_ashok
Data mining involves analyzing large datasets to discover patterns using techniques from machine learning, statistics, and database systems. It is used to extract useful information from large datasets and predict future outcomes. The goal is often predictive analysis to forecast behaviors. The data mining process involves data preparation, model building and validation, and model deployment. Common tools for data mining include neural networks, decision trees, rule induction, genetic algorithms, and nearest neighbor algorithms. While data mining provides benefits like improved marketing and fraud detection, it also raises privacy and security issues regarding personal information.
Similar to A major advantage of primary data collection is that Multiple Choice I.pdf (20)
ONLINE POLICIES TO ENSURE CUSTOMER PRIVACY IN ONLI.docx
ONLINE POLICIES TO ENSURE CUSTOMER PRIVACY IN ONLI.docx
Increasing the Investment’s Opportunities in Kingdom of Saudi Arabia By Study...
Increasing the Investment’s Opportunities in Kingdom of Saudi Arabia By Study...
INCREASING THE INVESTMENT’S OPPORTUNITIES IN KINGDOM OF SAUDI ARABIA BY STUDY...
INCREASING THE INVESTMENT’S OPPORTUNITIES IN KINGDOM OF SAUDI ARABIA BY STUDY...
Running Head CONSUMER BEHAVIOR ANALYSISCONSUMER BEHAVIOR ANAL
Running Head CONSUMER BEHAVIOR ANALYSISCONSUMER BEHAVIOR ANAL
The Survey of Data Mining Applications And Feature Scope
The Survey of Data Mining Applications And Feature Scope
Analysis on Recommended System for Web Information Retrieval Using HMM
Analysis on Recommended System for Web Information Retrieval Using HMM
Data Mining: Application and trends in data mining
Data Mining: Application and trends in data mining
Data Mining: Application and trends in data mining
Data Mining: Application and trends in data mining
Advanced Techniques in Social Media Data Analysis.docx
Advanced Techniques in Social Media Data Analysis.docx
More from anita937851
A microbe is cultured in broth with an oxygen gradient and uniform gro.pdf
A microbe is cultured in broth with an oxygen gradient and uniform growth is observed
throughout the entire tube. The organism is most likely a(n) _____.
aerotolerant anaerobe
facultative anaerobe
obligate anaerobe
microaerophile
obligate aerobe
A microbe is only capable of growth at pH range of 8.5-10 in the presence of atmospheric levels
of oxygen. Which statements are correct? Mark all that apply.
The microbe is an obligate aerobe
The microbe is likely to be a human pathogen
The microbe is a mesophile
The microbe is an alkiliphile
Jams and jellies tend to have long shelf lives when kept refrigerated because
the refrigeration temperature is too cold and prevents microbial growth
their osmolarity causes plasmolysis of most microbes that may get into the jam or jelly
their pH is too acidic for most microbes, causing denaturation of their proteins and enzymes
their osmolarity causes osmotic lysis of most microbes that may get into the jam or jelly.
A microbe that thrives at depths of at least 1000 feet in the ocean sh.pdf
A microbe that thrives at depths of at least 1000 feet in the ocean should have which of
these characteristics. Choose all that apply.
A. barophile
B. mesophile
C. halophile
D. acidophile
E. psychrophile
A. barophile
B. mesophile
C. halophile
D. acidophile
E. psychrophile.
A manager participated in a short-term course to learn about a country.pdf
A manager participated in a short-term course to learn about a country's culture. What does this
experience qualify the manager as having?
A firm relocates a manager to another country to build its client base. What will this individual
be considered?
a. studying global concepts
b. serving as an expatriate
c. worthy of an international premium
d. global mindset.
A marine biologist is investigating the sudden deaths of marine mammal.pdf
A marine biologist is investigating the sudden deaths of marine mammals in association with a
HAB in Monterey Bay. Upon examination of a sea water sample, she notices that the color has a
distinctive brownish hue. Upon microscopic examination, she find millions of single-celled
organisms, some clumping in colonies and other living freely. Biochemical analysis confirms
high amounts of silica and leucosin. Which of the following taxonomic groups most likely is
causing the HAB? Domain Bacteria Domain Archaea (shiylum Apicomplexa Phyium
Bacillariuphyta Phylum Dinoflagellata Phylum Phaeophvea Phylum Rhodaphices..
A patient has a transplant and is prescribed cortisol- What would you.pdf
A patient has a transplant and is prescribed cortisol. What would you expect to happen to blood
levels of cortiocotrophic releasing hormone ( CRH ) and adrenocorticotropic hormone ( ACTH )
? 1) increased CRH and increased ACTH 2) increased CRH and decreased ACTH 3) decreased
CRH and decreased ACTH 4) decreased CRH and increased ACTH.
A patient named Fred is tested for a disease called conditionitis- a m.pdf
A patient named Fred is tested for a disease called conditionitis, a medical condition that afflicts
1% of the population. The test result is positive, i.e., the test claims that Fred has the disease. Let
D be the event that Fred has the disease and T be the event that he tests positive. Suppose that the
test is 95% accurate"; there are different measures of the accuracy of a test, but in this problem it
is assumed to mean that P ( T D ) = 0.95 and P ( T c D c ) = 0.95 . (a) Find the conditional
probability that Fred has conditionitis, given the evidence provided by the test result. (b) Fred,
who tested positive for conditionitis, decides to get tested a second time. The new test is
independent of the original test (given his disease status) and has the same sensitivity and
specicity. Unfortunately for Fred, he tests positive a second time. Find the probability that Fred
has the disease.
A male snow leopard (Uncia uncia) has short hair- a stubby tail and ex.pdf
A male snow leopard ( Uncia uncia ) has short hair, a stubby tail and extra toes. A female has
long hair, a long tail and extra toes. The snow leopards have kittens. One has long hair, a long
tail, and no extra toes. Another has short hair, a stubby tail, and extra toes. The third kitten has
short hair, a long tail, and no extra toes.
L = short hair l = long hair
M = stubby tail m = long tail
E = extra toes e = normal number of toes
What is the genotype of the father?.
A person was driving a boat and was drunk- He hit another boat and one.pdf
A person was driving a boat and was drunk. He hit another boat and one of the passengers fell in
the water and couldn't swim. A bystander saw the passenger flailing in the water and dove in to
rescue him. When he neared the passenger, the passenger grabbed him, and they both drowned.
In a lawsuit against the drunk driver of the boat, the court will find the drunk driver guilty under
the theory of danger invites rescue negligence assumption of risk infliction of emotional distress
None of the above are correct answers.
A person has a 20- chance of getting Virus X at some point in their li.pdf
A person has a 20% chance of getting Virus X at some point in their lifetime. Suppose we
randomly sample 20,000 people. Let X be the number of people you ask until one of them has
Virus X.
a. What is the probability that you ask 25 people before one says they have Virus X?
b. Find the mean and standard deviation of X.
A person is randomly selected- What is the probability that the person.pdf
A person is randomly selected. What is the probability that the person is: a) Male? b) Male and a
Democrat? c) Male given that the person is a Democrat? d) Republican given that the person is
Male? e) Female given that the person is an Independent? f) Are the events Male and Republican
independent? Enter yes or no..
A man who is a resistant to malaria has children with a woman who does.pdf
A man who is a resistant to malaria has children with a woman who does not carry the sickle cell
trait. What percentage of their children are expected to have sickle cell anemia? Hint: Alleles are
HbA and HbS
Select one:
a.
25%
b.
50%
c.
100%
d.
0%.
A patient who is in chronic renal failure develops uremia- Which measu.pdf
A patient who is in chronic renal failure develops uremia. Which measure should a nurse include
in the patient's care plan?
A. Keep the patient warm.
B. Give the patient tepid sponge baths.
C. Provide the patient with caffeinated beverages.
D. Apply an alcohol-based lotion to the patient's skin..
A person with high emotional intelligence will usually a) develop a re.pdf
A person with high emotional intelligence will usually
a) develop a reframing statement to manage emotions.
b) remain unaware of the negative emotions he or she feels.
c) respond to negative feedback by criticizing the other person.
d) display withdrawal during negative feedback.
e) seek and accept only positive feedback..
A patient blood sample has been brought to the microbiology lab for po.pdf
A patient blood sample has been brought to the microbiology lab for potential pathogen
identification. Identification is accomplished by (Select all that apply) performing rapid
biochemical testing. growing the sample on selective and/or differential media. performing
antibiotic sensitivity testing. comparing the colony characteristics with the lab references for
molds and yeasts..
A Patient Care Assistant enters John's room without any PPE on to ask.pdf
A Patient Care Assistant enters John's room without any PPE on to ask John if he has filled in his
menu for the day. He notes that John is asleep and leaves the room. He is now considered
exposed to the virus. However, he does not become infected with the Covid-19 virus Explain
why the PCA does not develop the infection. (3-4 sentences).
a patient deeply lacerated her wrist in a sucide attempt- what muscles.pdf
a patient deeply lacerated her wrist in a sucide attempt. what muscles near the median
nerve was injured?
a. hypothenar eminence
b. thenar eminence
c. flexor digitorum suerficialis
d. palmar interosseous
a. hypothenar eminence
b. thenar eminence
c. flexor digitorum suerficialis
d. palmar interosseous.
A particular earthquake has a return period of 50 years- Assuming the.pdf
A particular earthquake has a return period of 50 years. Assuming the occurrences of such events
are independent. Determine the probability (in percentage) of having at least one earthquake in
50 years (fill in the Blank # 1) Determine the probability (in percentage) that the earthquake will
occur in any given year (fill in the Blank # 2).
A patent can be renewed every ten years for an unlimited arnount of ti.pdf
A patent can be renewed every ten years for an unlimited arnount of time. True False Question 4
( 2.5 points) Barry, Nellie and David form a member-managed LLC called Shoetastic, LLC that
is engaged in the business of selling shoes. Nellie secretly starts a competing shoe business.
Nellie has likely violated the: Duty of care She has not violated any duty because members do
not owe duties to the LLC. Duty of loyalty Business judgment rule.
A nurse is teaching a patient about chronic obstructive pulmonary dise.pdf
A nurse is teaching a patient about chronic obstructive pulmonary disease (COPD). Which
information should the nurse include in her teaching session? (Select all that apply). Question 1
options:
COPD exacerbations cause shortness of breath and increased sputum production.
After a flare-up, the lung tissue returns to normal.
COPD is a respiratory disorder that has components of chronic bronchitis and emphysema.
COPD is a curable disease.
Intermittent flare-ups of the symptoms are expected..
A one-period model where the initial stock price is S has equal probab.pdf
A one-period model where the initial stock price is S has equal probability of going up to S U or
down to S D at time T where U = 1/ D and U > 1 Assuming rates are zero show that there must
exist an arbitrage opportunity..
More from anita937851 (20)
A microbe is cultured in broth with an oxygen gradient and uniform gro.pdf
A microbe is cultured in broth with an oxygen gradient and uniform gro.pdf
A microbe that thrives at depths of at least 1000 feet in the ocean sh.pdf
A microbe that thrives at depths of at least 1000 feet in the ocean sh.pdf
A manager participated in a short-term course to learn about a country.pdf
A manager participated in a short-term course to learn about a country.pdf
A marine biologist is investigating the sudden deaths of marine mammal.pdf
A marine biologist is investigating the sudden deaths of marine mammal.pdf
A patient has a transplant and is prescribed cortisol- What would you.pdf
A patient has a transplant and is prescribed cortisol- What would you.pdf
A patient named Fred is tested for a disease called conditionitis- a m.pdf
A patient named Fred is tested for a disease called conditionitis- a m.pdf
A male snow leopard (Uncia uncia) has short hair- a stubby tail and ex.pdf
A male snow leopard (Uncia uncia) has short hair- a stubby tail and ex.pdf
A person was driving a boat and was drunk- He hit another boat and one.pdf
A person was driving a boat and was drunk- He hit another boat and one.pdf
A person has a 20- chance of getting Virus X at some point in their li.pdf
A person has a 20- chance of getting Virus X at some point in their li.pdf
A person is randomly selected- What is the probability that the person.pdf
A person is randomly selected- What is the probability that the person.pdf
A man who is a resistant to malaria has children with a woman who does.pdf
A man who is a resistant to malaria has children with a woman who does.pdf
A patient who is in chronic renal failure develops uremia- Which measu.pdf
A patient who is in chronic renal failure develops uremia- Which measu.pdf
A person with high emotional intelligence will usually a) develop a re.pdf
A person with high emotional intelligence will usually a) develop a re.pdf
A patient blood sample has been brought to the microbiology lab for po.pdf
A patient blood sample has been brought to the microbiology lab for po.pdf
A Patient Care Assistant enters John's room without any PPE on to ask.pdf
A Patient Care Assistant enters John's room without any PPE on to ask.pdf
a patient deeply lacerated her wrist in a sucide attempt- what muscles.pdf
a patient deeply lacerated her wrist in a sucide attempt- what muscles.pdf
A particular earthquake has a return period of 50 years- Assuming the.pdf
A particular earthquake has a return period of 50 years- Assuming the.pdf
A patent can be renewed every ten years for an unlimited arnount of ti.pdf
A patent can be renewed every ten years for an unlimited arnount of ti.pdf
A nurse is teaching a patient about chronic obstructive pulmonary dise.pdf
A nurse is teaching a patient about chronic obstructive pulmonary dise.pdf
A one-period model where the initial stock price is S has equal probab.pdf
A one-period model where the initial stock price is S has equal probab.pdf
Recently uploaded
How to Manage Reception Report in Odoo 17
A business may deal with both sales and purchases occasionally. They buy things from vendors and then sell them to their customers. Such dealings can be confusing at times. Because multiple clients may inquire about the same product at the same time, after purchasing those products, customers must be assigned to them. Odoo has a tool called Reception Report that can be used to complete this assignment. By enabling this, a reception report comes automatically after confirming a receipt, from which we can assign products to orders.
Temple of Asclepius in Thrace. Excavation results
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
BPSC-105 important questions for june term end exam
BPSC-105 important questions for june term end exam
Gender and Mental Health - Counselling and Family Therapy Applications and In...
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
How to Download & Install Module From the Odoo App Store in Odoo 17
Custom modules offer the flexibility to extend Odoo's capabilities, address unique requirements, and optimize workflows to align seamlessly with your organization's processes. By leveraging custom modules, businesses can unlock greater efficiency, productivity, and innovation, empowering them to stay competitive in today's dynamic market landscape. In this tutorial, we'll guide you step by step on how to easily download and install modules from the Odoo App Store.
Contiguity Of Various Message Forms - Rupam Chandra.pptx
Contiguity Of Various Message Forms - Rupam Chandra.pptx
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...
The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
CHUYÊN ĐỀ ÔN TẬP VÀ PHÁT TRIỂN CÂU HỎI TRONG ĐỀ MINH HỌA THI TỐT NGHIỆP THPT ...
CHUYÊN ĐỀ ÔN TẬP VÀ PHÁT TRIỂN CÂU HỎI TRONG ĐỀ MINH HỌA THI TỐT NGHIỆP THPT ...Nguyen Thanh Tu Collection
https://app.box.com/s/qspvswamcohjtbvbbhjad04lg65waylfAccounting for Restricted Grants When and How To Record Properly
In this webinar, member learned how to stay in compliance with generally accepted accounting principles (GAAP) for restricted grants.
skeleton System.pdf (skeleton system wow)
🔥🔥🔥🔥🔥🔥🔥🔥🔥
إضغ بين إيديكم من أقوى الملازم التي صممتها
ملزمة تشريح الجهاز الهيكلي (نظري 3)
💀💀💀💀💀💀💀💀💀💀
تتميز هذهِ الملزمة بعِدة مُميزات :
1- مُترجمة ترجمة تُناسب جميع المستويات
2- تحتوي على 78 رسم توضيحي لكل كلمة موجودة بالملزمة (لكل كلمة !!!!)
#فهم_ماكو_درخ
3- دقة الكتابة والصور عالية جداً جداً جداً
4- هُنالك بعض المعلومات تم توضيحها بشكل تفصيلي جداً (تُعتبر لدى الطالب أو الطالبة بإنها معلومات مُبهمة ومع ذلك تم توضيح هذهِ المعلومات المُبهمة بشكل تفصيلي جداً
5- الملزمة تشرح نفسها ب نفسها بس تكلك تعال اقراني
6- تحتوي الملزمة في اول سلايد على خارطة تتضمن جميع تفرُعات معلومات الجهاز الهيكلي المذكورة في هذهِ الملزمة
واخيراً هذهِ الملزمة حلالٌ عليكم وإتمنى منكم إن تدعولي بالخير والصحة والعافية فقط
كل التوفيق زملائي وزميلاتي ، زميلكم محمد الذهبي 💊💊
🔥🔥🔥🔥🔥🔥🔥🔥🔥
How to Fix [Errno 98] address already in use
This slide will represent the cause of the error “[Errno 98] address already in use” and the troubleshooting steps to resolve this error in Odoo.
欧洲杯下注-欧洲杯下注押注官网-欧洲杯下注押注网站|【网址🎉ac44.net🎉】
【网址🎉ac44.net🎉】欧洲杯下注在体育博彩方面，不难发现，欧洲杯下注多为英式运动提供投注。欧洲杯下注为丰富多彩的体育项目提供投注，如足球、赛马、板球和飞镖，但这不是欧洲杯下注的唯一优势。在欧洲杯下注，全世界玩家都可以找到自己感兴趣的比赛进行投注。欧洲杯下注为网球和美式运动如棒球、美式足球、篮球、冰球开出的投注同样值得关注。在夏季或冬季奥运会方面，欧洲杯下注为玩家开出了丰富多彩的服务，是你的不二之选。你还可以投注水球、自行车和班迪球等小众体育项目，甚至可以为武术、拳击和综合格斗投注。欧洲杯下注为众多体育项目开出滚球投注。
How to Setup Default Value for a Field in Odoo 17
In Odoo, we can set a default value for a field during the creation of a record for a model. We have many methods in odoo for setting a default value to the field.
INTRODUCTION TO HOSPITALS & AND ITS ORGANIZATION
The document discuss about the hospitals and it's organization .
A Visual Guide to 1 Samuel | A Tale of Two Hearts
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
Recently uploaded (20)
BPSC-105 important questions for june term end exam
BPSC-105 important questions for june term end exam
Gender and Mental Health - Counselling and Family Therapy Applications and In...
Gender and Mental Health - Counselling and Family Therapy Applications and In...
How to Download & Install Module From the Odoo App Store in Odoo 17
How to Download & Install Module From the Odoo App Store in Odoo 17
Contiguity Of Various Message Forms - Rupam Chandra.pptx
Contiguity Of Various Message Forms - Rupam Chandra.pptx
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...
CHUYÊN ĐỀ ÔN TẬP VÀ PHÁT TRIỂN CÂU HỎI TRONG ĐỀ MINH HỌA THI TỐT NGHIỆP THPT ...
CHUYÊN ĐỀ ÔN TẬP VÀ PHÁT TRIỂN CÂU HỎI TRONG ĐỀ MINH HỌA THI TỐT NGHIỆP THPT ...
Accounting for Restricted Grants When and How To Record Properly
Accounting for Restricted Grants When and How To Record Properly
220711130097 Tulip Samanta Concept of Information and Communication Technology
220711130097 Tulip Samanta Concept of Information and Communication Technology
A major advantage of primary data collection is that Multiple Choice I.pdf
- 1. A major advantage of primary data collection is that Multiple Choice It can be easily accessed through syndicated databases. It is less expensive to collect than secondary data. it is general enough to meet many different researchers' needs. it offers behavioral insights generally not available from secondary research. it takes less time to collect than secondary data. What is neuromarketing? Multiple Choice the use of in-depth intervlews regarding potential product ideas that are used to map detalled networks of information storage in the brain the analysis of consumer comments on social media in order to understand consumers' thoughts and opinions the use of psychoiogical principles to design matketing research studies the use of neural networks to perform data mining and develop marketing insights the study of consumers' brain patterns to determine their responses to markeling communications. products, or services