KNOWLEDGE MANAGEMENT PRACTICES IN INDIA

Abstract

An organization’s bottom line is enhanced by knowledge management. The knowledge resources provide a different competitive benefit by enhancing functioning. The ability to manage intangibles like knowledge is important for competition, and intelligent administrators are aware of the significance of applying and increasing knowledge for an organization's advantage. Knowledge resources include novel and important economic sources that are distinctive and worthy resources associated with an organization's competitive benefit. Knowledge capabilities impact organizations functioning. Also, tacit knowledge is presently more significant than “physical capital” in satisfying the functioning and origination of an organization. The management of knowledge, mainly tacit knowledge, is significant in maintaining and improving the functioning and origination of an organization. Literature that focuses on the elements that endorse the sharing of tacit knowledge is less. Thus, focusing on social capital and individual motivations along with technological factor web 2.0 as the employees’ tacit knowledge sharing primary enablers, this study aims to study the impact of technological elements, individual motivation, and social capital on IT professionals’ tacit knowledge sharing. Current researchers have not differentiated between the two types of shared knowledge, namely, tacit and explicit knowledge, and have not examined the sharing of tacit knowledge as it associates with organizations development. The aim of this study is to examine innovative work behavior with tacit knowledge sharing between IT professionals. The research also examines the moderating role of absorptive capacity in the relation between tacit knowledge sharing and innovative work behavior. The

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participants are Indian IT professionals in this study and data was collected from October 2020 to March 2021. The study comprised 497 samples. The examination applied version 24 of the Statistical Package (SPSS) for demographics and partial less square structural equation model (PLS-SEM) 3.3.3 for the measurement model and structural equation. The outcomes of this study are examined by enablers like social capital, extrinsic and intrinsic motivation, web 2.0 on tacit knowledge sharing, and the indirect influence of enablers on innovative work behavior, with the mediating impact of the tacit knowledge sharing. The research finding discus important impact of enabler’s like social capital, extrinsic motivation, enjoyment in helping other people, and web 2.0 on tacit knowledge sharing between the Indian IT professionals. The research examines the direct influence on innovative work behavior and was significant between the Indian IT professionals. The examination also found partial mediation effect of social capital, extrinsic motivation, and delight in helping others between tacit knowledge sharing and innovate work behavior, while full mediation was recognized for web 2.0 between the Indian IT professionals. This research also establishes that the absorptive capacity has an important impact as a moderator between tacit knowledge sharing and innovative work behavior.