Collective work motivation in knowledge based organizations

Author:

Tongo Constantine Imafidon

Abstract

Purpose – Collective work motivation (CWM) has been construed as humans’ innate predispositions to effectively undertake team-oriented work activities under ideal conditions (Lindenberg and Foss, 2011). However, management research aimed at explicating its etiology in knowledge-based organizations (KBOs) has been largely ignored. Given that these organizations strive to gain market competitiveness by motivating employees to cooperatively share knowledge, as well as protect organizational specific knowledge from being externally expropriated, it becomes expedient to understand how they can mobilize and sustain CWM that is geared towards the normative goal of knowledge sharing and knowledge protection. Design/methodology/approach – Conceptual insights from the social identity theory were deployed by the study. Findings – Three hypothetical principles derived from the processes of social categorization, social comparison and social identification tentatively mobilize and sustain CWM in KBOs. Originality/value – This paper adopts the social identity perspective to CWM. In so doing, it sees CWM as a team-based intrinsically derived process rather than an extrinsic means of eliciting the motivation of people in KBOs to engage in the normative goal of knowledge sharing and protection.

Publisher

Emerald

Subject

Management of Technology and Innovation,Management Information Systems,Organizational Behavior and Human Resource Management

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Effect of Collective Decision-Making on Productivity: A Structural Equation Modeling;SAGE Open;2023-10

2. Relationship between team culture and team performance through lens of knowledge sharing and team emotional intelligence;Journal of Knowledge Management;2019-01-14

3. The Relationship among Knowledge Workers' Knowledge Exploration, Knowledge Exploitation and Procedural Justice;Proceedings of the 4th International Conference on Industrial and Business Engineering;2018-10-24

4. KNOWLEDGE MANAGEMENT CYCLE: A SCIENTIFIC LITERATURE REVIEW;10th International Scientific Conference “Business and Management 2018”;2018-09-06

5. Demographic Variables in Knowledge Sharing Behavior among IT Engineers in Taiwan;Proceedings of the 2018 International Conference on Information Science and System;2018-04-27

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