{"title":"A Pathway to Counterproductive Knowledge Behaviour: Integrating Knowledge Hoarding, Knowledge Withholding, and Knowledge Hiding","authors":"Z. Zamrudi","doi":"10.5530/jscires.12.1.019","DOIUrl":null,"url":null,"abstract":"Introduction: Counterproductive knowledge behaviour is considered to negatively impact all organizations, either in business or public institutions. Objectives: This study aims to provide a comprehensive picture of knowledge management, integrating three counterproductive knowledge behaviours: knowledge hoarding, knowledge withholding, and knowledge hiding. Materials and Methods: This study uses a bibliometric approach using 337 documents from the Scopus database to understand the field development behind counterproductive knowledge behaviours. The data analysis involves the evaluation of performance analysis and thematic mapping. The performance analysis is aimed to understand the pioneering authors and manuscripts within the field, while the scientific maps aim to depict the thematic development of current fields. The performance analysis results discover pioneering authors, trending topics, prominent sources and articles, and country-wise performance. Results: The performance analysis indicates growing interest since 2011 mainly published in “knowledge” theme journal, mainly authored by Chinese researcher. However, from the authorship results, this research also pin-point pioneering author within the field. The results from scientific map analysis indicate different concepts between knowledge hoarding, knowledge withholding, and knowledge hiding while at the same time discovering the position of knowledge sharing within these three concepts. This study also discovers several basic theories on counterproductive knowledge behaviour. Conclusion: This research contributes to the scientific community by comprehensively combining the performance and scientific map analysis to measure the research development in counterproductive knowledge behaviour. Additionally, this paper provide future research agenda within the fields inviting future researcher to explore any potential theoretical integration, model integration such as involving technological aspect.","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5530/jscires.12.1.019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Counterproductive knowledge behaviour is considered to negatively impact all organizations, either in business or public institutions. Objectives: This study aims to provide a comprehensive picture of knowledge management, integrating three counterproductive knowledge behaviours: knowledge hoarding, knowledge withholding, and knowledge hiding. Materials and Methods: This study uses a bibliometric approach using 337 documents from the Scopus database to understand the field development behind counterproductive knowledge behaviours. The data analysis involves the evaluation of performance analysis and thematic mapping. The performance analysis is aimed to understand the pioneering authors and manuscripts within the field, while the scientific maps aim to depict the thematic development of current fields. The performance analysis results discover pioneering authors, trending topics, prominent sources and articles, and country-wise performance. Results: The performance analysis indicates growing interest since 2011 mainly published in “knowledge” theme journal, mainly authored by Chinese researcher. However, from the authorship results, this research also pin-point pioneering author within the field. The results from scientific map analysis indicate different concepts between knowledge hoarding, knowledge withholding, and knowledge hiding while at the same time discovering the position of knowledge sharing within these three concepts. This study also discovers several basic theories on counterproductive knowledge behaviour. Conclusion: This research contributes to the scientific community by comprehensively combining the performance and scientific map analysis to measure the research development in counterproductive knowledge behaviour. Additionally, this paper provide future research agenda within the fields inviting future researcher to explore any potential theoretical integration, model integration such as involving technological aspect.