Abstract
Grounded theory can help scholars solve complex management problems and build a link between practice and theory and has received much attention in recent years. This paper takes CNKI as primary data source, constructs professional retrieval strategy, realizes initial collection of academic papers related to grounded theory, and then combines content analysis methods to manually annotate 2358 papers from titles, keywords, abstracts, and full texts. To realize whether one paper uses grounded theory approach to conduct research. Using the scientific knowledge graph drawing tool CiteSpace, combined with information visualization analysis and social network analysis methods, to identify characteristics of knowledge production driven by grounded theory as a knowledge carrier. The research indicates: In terms of research focus, related research focuses on the multidisciplinary application of grounded theoretical analysis methods and their integration with qualitative research, mixed research, case study and other methods, and focuses on revealing influencing factors of various research issues; in terms of time, grounded theory became the central node of complex networks in 2004, and began to focus on the integration and application of various research tools in 2006, with apparent characteristics of temporal changes; in terms of the features of scientific research collaboration, the grounded theory-driven scientific research collaboration process has formed multiple research sub-networks oriented to the fields of management and education. In the institutional cooperation network, it is found that the large-scale institutional cooperation network driven by the grounded theoretical analysis method has not yet formed and the formed ones were driven by grounded theory can be well used in key links such as innovation management, management consulting decision making, etc.
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Acknowledgments
The research was supported by JIANGSU PROVINCIAL SOCIAL SCIENCE FOUNDATION YOUTH PROJECT: Grant number 21TQC003; the INNOVATION FUND GENERAL PROJECT I OF NANJING INSTITUTE OF TECHNOLOGY, Grant number CKJB202003; MAJOR PROJECTS OF PHILOSOPHY AND SOCIAL SCIENCE RESEARCH IN UNIVERSITIES OF JIANGSU PROVINCE, Grant number 2021SJZDA178; OPEN RESEARCH FUND OF NJIT INSTITUTE OF INDUSTRIAL ECONOMY AND INNOVATION MANAGEMENT, Grant number JGKA202202; The TEACHING REFORM AND CONSTRUCTION PROJECT OF NANJING INSTITUTE OF TECHNOLOGY, Grant number JXGG2021031; and JIANGSU PROVINCE EDUCATION SCIENCE “14TH FIVE-YEAR PLAN” 2021 ANNUAL PROJECT, Grant number C-c/2021/01/62. PRACTICE AND INNOVATION TRAINING PROGRAM FOR COLLEGE STUDENTS OF NANJING INSTITUTE OF TECHNOLOGY (Grant number 202211276090Y).
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Xu, H. et al. (2023). Grounded Theory-Driven Knowledge Production Features Mining: One Empirical Study Based on Big Data Technology. In: Tian, Y., Ma, T., Jiang, Q., Liu, Q., Khan, M.K. (eds) Big Data and Security. ICBDS 2022. Communications in Computer and Information Science, vol 1796. Springer, Singapore. https://doi.org/10.1007/978-981-99-3300-6_35
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