This book adopted 66 brand crisis events as research samples taking place from 2010 to 2016 on social media (Chinese Weibo), performs research on influence mechanism of brand-crisis information-sharing behavior on social media from contextual perspective. The book explores into the fluctuation characteristics of information-sharing behavior, the contextual influence factors, both the static and dynamic mechanism of information-sharing behavior, and regulation measures of crisis information sharing behavior.
The important features of the book are reflected in accurate analysis of the autocorrelation, trend characteristics, periodic characteristics and cluster characteristics of the fluctuation of crisis information sharing behavior, and deep exploration of dynamic mechanism and static mechanism of the time lag characteristics, impulsive disturbance, and marginal influence of the impact of information sharing behavior from perspective of situational factors.The book mainly focuses on the field of brand crisis management, and construct the formation and evolution mechanism of brand crisis information sharing behavior from both vertical and horizontal dimensions through a combination of theoretical exposition and case analysis, so that readers can got a clear understanding of brand crisis information communication and management through dimension reduction. The book can be used as a textbook for undergraduates and postgraduates in economics and management in colleges and universities, can also be a reference for business managers, scientific researchers and others interested in the field of crisis management.
Author(s): Changzheng Yang
Publisher: Springer-XUP
Year: 2022
Language: English
Pages: 288
City: Xiamen
Foreword
Contents
About the Author
1 Introduction
1.1 Research Background
1.1.1 Severity of Brand Crisis
1.1.2 Rapid Development of Microblog/Weibo
1.2 Research Purposes and Significance
1.2.1 Research Purposes
1.2.2 Research Significance
1.3 Research Questions and Structure
1.3.1 Research Questions
1.3.2 Research Contents
1.3.3 Structure
1.4 Research Methods and Technical Route
1.4.1 Research Methods
1.4.2 Technical Route
1.5 Research Innovation
References
2 Literature Review and Theoretical Foundation
2.1 Research Status Quo
2.1.1 Brand Crisis Dissemination
2.1.2 Information Dissemination on Microblogging Platforms
2.1.3 Research on Information Behavior
2.1.4 Contextual Factors of Behavior
2.1.5 Research Review
2.2 Theoretical Foundation
2.2.1 Information Context Theory
2.2.2 Information Grounds Theory
2.2.3 Information Processing Theory
2.2.4 Field Theory of Psychology
2.2.5 Information Behavior Theory
2.3 Summary
References
3 Fluctuation Features of Brand Crisis Information Sharing by Weibo Users
3.1 Data Collection and Descriptive Statistics
3.1.1 Data Acquisition and Data Preprocessing
3.1.2 Data Features and Descriptive Statistical Analysis
3.2 Fluctuation Features of Reposting Behavior
3.2.1 Fluctuation Features of the Whole Information Spreading Process
3.2.2 Weekly Fluctuation Features
3.2.3 Weekly Fluctuation Features
3.3 Fluctuation Features of Comment Behavior
3.3.1 Fluctuation Features of the Whole Communication Process
3.3.2 Weekly Fluctuation Features
3.3.3 One-Day Fluctuation Features
3.4 Summary
References
4 Contextual Factors Affecting Brand Crisis Information Sharing by Weibo Users
4.1 Selection and Construction of Contextual Factors
4.2 Testing and Analysis of Classified Contextual Factors
4.2.1 Static Contextual Factors
4.2.2 Dynamic Contextual Factors
4.3 Testing and Analysis of Static Contextual Factors
4.3.1 Data Sources
4.3.2 Reliability and Validity Analysis
4.3.3 Correlation Analysis
4.3.4 Causality Test
4.4 Testing and Analysis of Dynamic Contextual Factors
4.4.1 Time Series Level
4.4.2 Data Integrity Level
4.5 Summary
References
5 Static Influencing Mechanism of Weibo Users’ Information Sharing of Brand Crisis Cases
5.1 Introduction
5.2 Hypothesis
5.2.1 Relationship Between Information Context and Physiological Stimulation
5.2.2 Relationship Between Physiological Stimulation and Perceptual Attributes
5.2.3 Relationship Between Perceptual Attributes and Behavior Intention
5.2.4 Moderating Effect of Harm Relevance
5.2.5 Theoretical Framework for Research
5.3 Research Design and Data Collection
5.3.1 Research Methods
5.3.2 Design of Scale and Questionnaire
5.3.3 Data Collection
5.4 Data Processing, Testing and Analyzing
5.4.1 Reliability and Validity Analysis
5.4.2 Hypothesis Testing
5.4.3 Analysis of Results
5.5 Cluster Analysis
5.5.1 Population Sample
5.5.2 Gender Group
5.5.3 Age Group
5.5.4 Education Group
5.5.5 Occupational Group
5.6 Conclusion and Discussion
5.6.1 Conclusion
5.6.2 Discussion
5.7 Summary
References
6 Dynamic Influencing Mechanism of Weibo Users’ Information Sharing of Brand Crisis Cases
6.1 Impact of Total Number of Reposts and Comments
6.1.1 Causality Test
6.1.2 VAR Model Construction
6.1.3 Impulse Responses Analysis
6.1.4 Marginal Influence
6.2 Impact of the Blogger’s Number of Follows and Followers
6.2.1 Causality Test
6.2.2 VAR Model Construction
6.2.3 Impulse Responses Analysis
6.2.4 Marginal Influence
6.3 Impact of the Number of Follows and Followers of Source Information
6.3.1 Causality Test
6.3.2 VAR Model Construction
6.3.3 Impulse Responses Analysis
6.3.4 Marginal Influence
6.4 The Impact of Information Temporal Distance
6.4.1 Causality Test
6.4.2 VAR Model Construction
6.4.3 Impulse Responses Analysis
6.4.4 Marginal Influence
6.5 Decomposition Analysis of Impact Contribution Ratio
6.5.1 Reposting Behavior Fluctuation
6.5.2 Commenting Behavior Fluctuation
6.6 Summary
References
7 Strategies for Monitoring Brand Crisis Information Sharing by Weibo Users
7.1 Positioning Monitoring Time
7.1.1 Monitoring Times for Reposting Behavior
7.1.2 Monitoring Times for Commenting Behavior
7.2 Monitoring of Static Contextual Factors
7.2.1 Indicator of Information Visualization (IV)
7.2.2 Indicator of Information Sentiment (IS)
7.2.3 Indicator of Information Authority (IA)
7.2.4 Indicator of Harm Relevance (HR)
7.2.5 Indicator of Group Difference
7.3 Monitoring of Dynamic Contextual Factors
7.3.1 Monitoring of Reposting Behavior
7.3.2 Monitoring of Commenting Behavior
7.4 Summary
8 Conclusion and Suggestions
8.1 Research Findings
8.1.1 Accurate Analysis of the Fluctuation Characteristics of Brand Crisis Information Sharing by Weibo Users
8.1.2 Identifying and Quantitative Analysis of the Contextual Influencing Factors of Information Sharing Behavior on Weibo in Brand Crisis
8.1.3 Study on the Influencing Mechanism of Static Contextual Factors of Weibo Users’ Information Sharing of Brand Crisis Cases
8.1.4 Study on the Influencing Mechanism of Dynamic Contextual Factors of Brand Crisis Information Sharing by Weibo Users
8.1.5 Study of the Strategies for Targeted Monitoring of Brand Crisis Information Sharing by Weibo Users
8.2 Research Contributions
8.3 Limitations and Suggestions
References
Appendix A Original Data Retrieval Formats
Appendix B Questionnaire
