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Knowledge codifiability, common interests and knowledge transfer: the inhibiting role of system dependence under increasing novelty

Chandan Acharya (Department of Management, Chazanoff School of Business, College of Staten Island, Staten Island, New York, USA)
Pratigya Sigdyal (Department of Management and Marketing, California State University Bakersfield, Bakersfield, California, USA)
Divesh Ojha (Department of Operations and Supply Chain Management, University of North Texas, Denton, Texas, USA)
Pankaj C. Patel (Department of Management, Villanova University, Villanova, Pennsylvania, USA)
Amandeep Dhir (Department of Management, School of Business and Law, University of Agder, Kristiansand, Norway; Jaipuria Institute of Management, Noida, India and Optentia Research Focus Area, North-West University, Vanderbijlpark, South Africa)

Journal of Knowledge Management

ISSN: 1367-3270

Article publication date: 28 June 2023

Issue publication date: 4 March 2024

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Abstract

Purpose

This paper aims to address the challenges knowledge actors face when using knowledge codifiability to develop common interests. The challenge is compounded when actors with diverse knowledge domains depend on each other to complete tasks, and, simultaneously, update their knowledge to address novelty in the organizational environment.

Design/methodology/approach

Given this context, this paper studies the impact of two moderating variables, systems dependence (Z) and novelty (W), on the relationship between knowledge codifiability (X) and common interests (M). This study also examines whether common interests (M) mediate the relationship between knowledge codifiability (X) and knowledge transfer (Y). To test the hypotheses, the authors collected data from 163 entrepreneurs in the southwest USA.

Findings

The results demonstrate that novelty in the knowledge domain of actors provides a supporting context for knowledge codifiability to develop common interests, but only when actors’ dependence on each other to complete tasks is at low to medium level. Moreover, the results also provide evidence that common interests mediate the relationship between codifiability and ease of knowledge transfer.

Originality/value

Using the results, this study provides a decision-making framework for managing tasks based on system dependence and novelty level.

Keywords

Citation

Acharya, C., Sigdyal, P., Ojha, D., Patel, P.C. and Dhir, A. (2024), "Knowledge codifiability, common interests and knowledge transfer: the inhibiting role of system dependence under increasing novelty", Journal of Knowledge Management, Vol. 28 No. 2, pp. 505-531. https://doi.org/10.1108/JKM-10-2022-0775

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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