Social Media Analytics in Predicting Consumer Behavior 1st Edition by Selay Ilgaz Sumer, Nurettin Parilti ISBN 9781000884494 100088449X

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Product details:
ISBN 10: 100088449X
ISBN 13: 9781000884494
Author: Selay Ilgaz Sumer, Nurettin Parilti

Social Media Analytics in Predicting Consumer Behavior 1st Edition Table of contents:

1. Introduction

2. What is Social Media?

3. Social Media Today: What are the Popular Social Media Sources?

4. What are the Main Functions of Social Media?

5. What does Social Media do for Individuals and Organizations?

References

2. Social Media Marketing

1. Introduction

2. The Concept of Social Media

3. The Transformation Process of Social Media

4. Social Media Marketing

5. Social Media Platforms

5.1. Social Network and Sharing Websites

5.2. Blogs and Microblogs

5.3. Wikis

6. Strategies in Social Media Marketing

7. Types of Marketing Intermediaries Used in Social Media Marketing

7.1. Influencer Marketing

7.2. Viral Marketing

7.3. Real-time Marketing

8. Measuring Effectiveness in Social Media Marketing

9. Advantages of Social Media Marketing

10. Weaknesses of Social Media Marketing

Conclusion

References

3. Formulating a Social Media Strategy

1. Introduction

2. Definition and Functions of Social Media

Social Media Marketing

Social Media and Customer Relation

3. Social Media Strategy

4. Strategy Formulation and Formulating Social Media Strategy

Social Media Marketing Strategy

Conclusion

References

4. Introduction to Social Media Analytics

1. Introduction

2. Emergence of Social Media Analytics

3. Purpose of Social Media Analytics

4. Social Media vs. Conventional Business Analytics

Eight Layers of Social Media Analytics

5. Types of Social Media Analytics

5.1. Descriptive Analytics (Reactive)

5.2. Diagnostic Analytics (Reactive)

5.3. Predictive Analytics (Proactive)

5.4. Prescriptive Analytics (Proactive)

6. Social Media Analytics Value Creation Cycle

Step 1 Identification

Step 2 Extraction

Step 3 Cleaning

Step 4 Analyzing

Step 5 Visualization

7. Visual Analytics

7.1. Importance of Visualization

7.2. Social Media Data Visualization

Step 6: Interpretation or Consumption

8. Current VS., Potential Use of Social Media Analytics

9. Challenges to Social Media Analytics

9.1. Volume and Velocity as a Challenge

9.2. Diversity as Challenge

9.3. Unstructured Data as a Challenge

10. Social Media Analytics Accuracy

11. Social Media Analytics Industry

12. Social Media Analytics Tools

References

5. Social Media Analytics in Consumer Behavior

1. Introduction

2. Social Media

2.1. Social Media for Corporations

2.2. Social Media for Consumers

2.3. Social Commerce

3. Technology Use in Social Media and Customer Relations Performance

4. Social Media Marketing

4.1. Social Media Marketing Scope

4.2. Social Media Marketing Activities

5. Social Media Outcomes

5.1. Social Media and Consumer Trust

5.2. Social Media and Consumer Attitudes

5.3. Social Media and Behavioral Consumer Intent

5.4. Social Media and Consumer Engagement

5.5. Social Media and Consumer Commitment

5.6. Social Media and Loyalty

5.7. Social Media and e-WOM

Conclusion

References

Internet Sources

6. Social Media Actions Analytics

1. Introduction

2. Social Media

3. Social Media Actions

3.1. Brand and User Actions on Facebook

3.2. Brand and User Actions on Twitter

3.3. Brand and User Actions on YouTube

4. Social Media Influencers and Process of Influencing to Action

5. Social Media and Collective Actions

5.1. Collective Actions on Facebook

6. Motivation

6.1. Intrinsic Motivation

6.2. Extrinsic Motivation

6.3. Identified Motivation

6.4. Introjected Motivation

7. Social Media Analytics

7.1. Benefits of Social Media Analytics

7.2. Challenges of Social Media Analytics

Conclusion

References

7. Measuring Web Site Performance with Web Analytics

1. Introduction

2. What is a Search Engine and Why Do We Need It?

3. What is Web Analytics?

4. Some Well-Known Web Analytics Solutions

4.1. Google Analytics

4.2. Yandex Metrics

4.3. Woopra

4.4. Adobe Analytics

4.5. Matomo

4.6. Clicky

5. Success Stories as Case Studies

5.1. AutoAnything (using Adobe Analytics)

5.2. APMEX (using Google Analytics 360)

5.3. Hostelworld (using Adobe Analytics)

5.4. Cancer.org (using Google Analytics)

Conclusion

References

8. Mobile Analytics

1. Introduction

1.1. The Rise of the Mobile

1.2. Mobiles Transforms Consumers

1.3. Mobile Transforms the Business Landscape

2. Mobile App Retention and Churn

3. Mobile Reviews and Ratings

Conclusion

References

9. Ethics and Social Media Analytics

1. Introduction

2. Traditional Ethics

3. Ethical Qualities of Big Data

4. Ethical Issues in Big Data Industry

4.1. Ethical Issues within the Big Data Industry

4.2. Ethical Issues within the System of Big Data Industry

5. Applying Ethical Theories to Big Data Issues

5.1. Kantianism and Big Data

5.2. Utilitarianism and Big Data

5.3. Virtue Ethics and Big Data

6. Ethical Issues in Social Media

7. Ethical Issues in Social Media Analytics

7.1. Individual Level Ethical Issues

7.2. Organizational Level Ethical Issues

8. Codes of Ethics in Social Media Analytics

9. Ethics and Social Media Research

10. Methodology

11. Analysis and Findings

11.1. Descriptive Analysis

11.2. Reliability Analysis

11.3. Social Media Users’ Ethical Perceptions of Social Media Research Activities

11.4. Consumers’ Ethical Perceptions of Social Media Analytics Practices

Conclusion

References

Index

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