To read this content please select one of the options below:

Buyer-initiated knowledge payment facilitates free knowledge contribution in knowledge-sharing platforms: an integration of relational signaling theory and attribution theory

Shan Jiang (School of Economics, Wuhan University of Technology, Wuhan, China)
Daqian Shi (School of Economics, Wuhan University of Technology, Wuhan, China)
Yihang Cheng (Career Science Lab, BOSS Zhipin, Beijing, China)

Journal of Knowledge Management

ISSN: 1367-3270

Article publication date: 3 September 2024

Issue publication date: 25 October 2024

126

Abstract

Purpose

The model of pay-for-knowledge incentivizes individuals with financial rewards for sharing their expertise, facilitating a transactional exchange between knowledge providers (sellers) and seekers (buyers). While this model is effective in promoting paid contributions, its influence on free knowledge exchanges remains ambiguous, creating uncertainty about its overall impact on platform knowledge ecosystems. This study aims to explore the mechanim of how knowledge payment influences free knowledge contribution. Based on relational signaling theory, this study posits that a buyer’s payment for knowledge acts as a positive relational signal in the buyer–seller relationship and examines how the signaling effect varies across different social contexts through attribution theory.

Design/methodology/approach

This paper empirically tests the hypotheses by analyzing a data set comprising 630 instances from 359 unique knowledge sellers on Zhihu, a prominent knowledge-sharing platform in China. This paper use zero-inflated negative binomial models to conduct this analysis.

Findings

The findings reveal that when buyers pay for knowledge, this action positively influences sellers to contribute knowledge for free. However, the strength of this influence is moderated by the platform’s social functions: appreciation feedback tends to weaken this effect, while social network ties enhance it.

Originality/value

Prior research has predominantly focused on the financial incentives of pay-for-knowledge and its spillover effects on unpaid users’ activities. This study shifts the focus to the social dimensions of pay-for-knowledge, arguing that buyer-initiated knowledge payments signal buyers’ commitment to foster reciprocal relationships with sellers. It expands the literature on the relationship between knowledge payment and contribution, moving beyond financial incentives to include social factors, thus enriching our understanding of the interplay between paid and free knowledge activities. Additionally, the empirical evidence supports the efficacy of pay-for-knowledge in promoting both free and paid contributions within knowledge-sharing platforms.

Keywords

Acknowledgements

This study was supported by the Fundamental Research Funds for the Central Universities (WUT: 233115001).

Citation

Jiang, S., Shi, D. and Cheng, Y. (2024), "Buyer-initiated knowledge payment facilitates free knowledge contribution in knowledge-sharing platforms: an integration of relational signaling theory and attribution theory", Journal of Knowledge Management, Vol. 28 No. 9, pp. 2773-2792. https://doi.org/10.1108/JKM-09-2023-0856

Publisher

:

Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

Related articles