How innovation types affect users' continuous knowledge sharing intention: a self-determination perspective

Abstract

Purpose

This research aims to investigate the effects of innovation types (exploratory innovation vs. exploitative innovation) on users' psychological perceptions (perceived self-improvement and prosocial impact) and continuous knowledge sharing intention and the moderating effects of monetary incentives.

Design/methodology/approach

The research model was developed based on the self-determination theory. A two-study approach involving an online survey (n = 338) and an online experiment (n = 160) was employed to collect quantitative data. Structural equation modeling and variance analysis were adapted to analyze the data.

Findings

The results show that exploratory innovation leads to higher perceived self-improvement among users than exploitative innovation, whereas exploitative innovation leads to higher perceived prosocial impact than exploratory innovation. The perceived self-improvement and perceived prosocial impact positively affects users' continuous knowledge sharing intention. Monetary incentives moderate the relationships among perceived self-improvement, perceived prosocial impact and continuous knowledge sharing intention.

Originality/value

This research highlights the role of users' experience of initial participation in forming continuous knowledge sharing intentions and also reveals the effectiveness of monetary incentives in different types of innovation activities. The findings provide a more comprehensive understanding of the antecedents of users' continuous knowledge sharing behavior, offering new insights and recommendations for managerial practitioners.

Citation

Chen, C. and Zhang, D. (2023), "How innovation types affect users' continuous knowledge sharing intention: a self-determination perspective", Aslib Journal of Information Management, Vol. 75 No. 2, pp. 297-317. https://doi.org/10.1108/AJIM-12-2021-0386