Applying artificial intelligence technique to predict knowledge hiding behavior |
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| Institution: | 1. Southern Illinois University Carbondale, Rehn Hall, Room 229 - Mail Code 4629, 1025 Lincoln Drive, Carbondale, IL 62901, United States;2. Kansas State University, 18B Calvin Hall, Manhattan, KS 66506, United States;1. International Business School Suzhou (IBSS), Xi''an Jiaotong-Liverpool University, Suzhou, China;2. Leonard de Vinci, Pole Universitaire, Research Center, 92 916 Paris, La Défense, France;3. Department of Management, University of Turin, Corso Unione Sovietica, Torino, Italy;4. Department of Engineering of the University of Roma Tre, Torino, Italy |
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| Abstract: | Drawing on psychological ownership and social exchange theories, this study suggests theoretical arguments and empirical evidence for understanding employee reactions to distributive, procedural, and interactional (in)justice — three crucial bases of employees’ feelings of social self-worth. Utilizing field data and artificial intelligence technique, this paper reveals that distributive, procedural, and interactional (in)justice contribute to higher levels of knowledge hiding behavior among employees and that this impact is non-linear (asymmetric). By reuniting the discourses of organizational justice and knowledge management, this study indicates that feelings of psychological ownership of knowledge and the degree of social interaction are mechanisms that work with organizational (in)justice to influence knowledge hiding behavior. The current research may inform contemporary theories of business research and provide normative guidance for managers. |
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| Keywords: | Knowledge hiding behavior Service employees Artificial intelligence Organizational injustice |
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