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Self-determination theory and its predictors for sharing knowledge: a critical review

Kevin Ferger (Solvelight Robotics, New York City, New York, USA)
Isabel D.W. Rechberg (Department of Management, CUNY College of Staten Island, Staten Island, New York, USA)

VINE Journal of Information and Knowledge Management Systems

ISSN: 2059-5891

Article publication date: 14 June 2022

547

Abstract

Purpose

This study aims to evaluate the impact of extrinsic, intrinsic and amotivation on an individual’s knowledge-sharing behavior.

Design/methodology/approach

The authors reviewed the literature on self-determination theory (SDT) as an applied predictor of knowledge-sharing behavior, and documented the extent to which SDT conceptual framework components have been studied in relation to predict knowledge sharing.

Findings

Building from SDT and its sub-theories, this study uncovers a gap in the knowledge-sharing literature as the continuum of the SDT framework has yet to fully be applied to knowledge-sharing behavior.

Originality/value

Contributing to the literature on knowledge management and knowledge sharing, this study is the first, to the best of the authors’ knowledge, of its kind to apply Deci and Ryan’s self-determination continuum, in its entirety, to a knowledge-sharing conceptual framework. The authors thereby address the potential impact of amotivation on an individual’s knowledge-sharing behavior.

Keywords

Citation

Ferger, K. and Rechberg, I.D.W. (2022), "Self-determination theory and its predictors for sharing knowledge: a critical review", VINE Journal of Information and Knowledge Management Systems, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/VJIKMS-01-2022-0030

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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