Understanding Employee Information Behavior consists of 6 chapters. Chapter 1 includes a brief review and introduction of the purpose and background of this research and puts forward related questions. In Chapter 2, a theoretical review is given, detailing the factors influencing information contribution, as well as the effects of relationship culture and employee performance expectations on information contribution with Chinese characteristics. Chapter 3 shows a structural model for modeling and simulation of information contribution. Chapter 4 gives a careful description of the research methodology, including questionnaire research, variable definitions, etc. Chapter 5 is about data analysis, which further validates the stability and operability of the model through SPSS&AMOS data software analysis. Chapter 6 concludes with implications, limitations and future research.
This book is revised and perfected on the basis of my doctoral dissertation, which systematically shows the framework and process of enterprise case study. It is of help to the readers’ practical dissertation writing and statistical analysis of data. Moreover, it is an attempt to combine the basic theory with Chinese relational culture. By reading it, readers are hoped to have a deep understanding of China and Chinese SMEs or get partial references and guidelines as SMEs operators.
제주대학교 경영학 박사
현) 제주대학교 관광과경영경제연구소 연구원
서울과학종합대학원대학교 객원교수
Seok Noh earned his Ph.D. in Business Administration (M.I.S) from Jeju National University (JNU). Prior to that, he obtained a master’s degree in Economics from Chungnam National University (CNU) in South Korea. His research interests span across various fields including social media, knowledge management, SMEs, art management, project management, technology convergence, metaverse commercialization, and e-commerce.
His research work has been published in Asia Pacific Journal of Information Systems (APJIS), Information Systems Review (ISR), Journal of Internet Electronic Commerce Research (JIECR), Pacific Asian Conference on Information Systems, Conference on Korean Academic Society of Business Administration, and others. Additionally, he has published a tool book on data statistics, Data Analysis and Statistical Applications SPSS A TO Z, in May 2024.
Over the past 15 years, Seok Noh has accumulated valuable experience working for Fortune 500 companies including LG Electronics (South Korea), China State Construction Engineering Corporation (CSCEC), and Honeywell (U.S.A). His roles have primarily focused on project management and strategic operations management. With extensive experience in industrial-business management, he has excelled in areas such as project management, organizational and business operations, as well as corporate strategy.
Currently, He serves as a researcher at the Institute of Tourism Business and Economics, Jeju National University. Additionally, he holds a position as a visiting professor at Seoul School of Integrated Sciences & Technologies(aSSIST University) in South Korea.
Chapter 1 14
I.Introduction14
Chapter 2 22
II.Theoretical Review22
2.1 Information, Knowledge, and Knowledge Sharing22
2.2 Limitations of Knowledge Sharing 26
2.3 What is Information Contribution?27
2.4 Influencing Factors of Information Contribution31
2.4.1 Individual Factors
2.4.2 Organizational Factors
2.4.3 Technological Factors
2.5 Theoretical Development43
2.5.1 Expectancy Theory
2.5.2 China’s Relationship Culture
2.5.3 ?Relationship Networks and Knowledge Sharing within Enterprises
2.5.4 Work Engagement and Information Contribution
Chapter 3 59
III. Research Model and Hypothesis Development59
3.1 Research Model59
3.2 Hypothesis Development62
Chapter 4 71
IV. Research Methodology71
4.1 Survey Introduction71
4.2 Operational Definition and Structure Measures72
4.2.1 Measurement of Performance Expectation
4.2.2 Measurement of Relationship Expectation
4.2.3 Measurement of Work Engagement
4.2.4 Measurement of Information Contribution Intention
4.2.5 Measurement of Information Contribution Behavior
Chapter 5 80
V. Data Analysis and Results 80
5.1 Survey Administration and Sampling80
5.2 Data Analysis81
5.2.1 Assessment of Reliability and Validity
5.2.2 Confirmatory Factor Analysis
5.2.3 Path Analysis
5.2.4 Mediating Effect Analysis
5.3 Hypotheses Testing Results97
5.4 Independent T-Test Analysis104
5.5 Multi-group Sample Structure Model Analysis106
5.5.1 Analysis Results of Service Industry Group Model 1
5.5.2 Analysis Results of Non-service Industry Group Model 2
5.5.3 Comparative Analysis Results of Model 1 and Model 2
Chapter 6 125
VI. Conclusions125
6.1 Conclusions125
6.2 Discussions127
6.3 Implications 128
6.4 Limitations129
6.5 Future Research130
Reference132
Appendix A. China’s SMEs Introduction152
Appendix B. Geographical Distribution of China’s SMEs Samples158
