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Users' subsequent innovation after organizational adoption: evidence from an online game user innovation community

Weimo Li (School of Management, Huazhong University of Science and Technology, Wuhan, China)
Yaobin Lu (School of Management, Huazhong University of Science and Technology, Wuhan, China)
Jifeng Ma (School of Management, Huazhong University of Science and Technology, Wuhan, China)
Bin Wang (Robert C. Vackar College of Business and Entrepreneurship, University of Texas Rio Grande Valley, Edinburg, Texas, USA)

Internet Research

ISSN: 1066-2243

Article publication date: 29 September 2022

Issue publication date: 17 July 2023

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Abstract

Purpose

In online user innovation communities (UICs), firms adopt external innovations beyond their internal resources and capabilities. However, little is known about the influences of organizational adoption or detailed adoption patterns on subsequent user innovation. This study aims to examine the influence of organizational adoption, including its level and timing, on users' subsequent innovation behavior and performance.

Design/methodology/approach

This research model was validated using a secondary dataset of 17,661 user–innovation pairs from an online UIC. The effect of organizational adoption on users' subsequent innovation likelihood was measured by conducting a panel logistic regression. Furthermore, the effects of organizational adoption on subsequent innovation’ quality and homogeneity and those of the adoption level and timing on subsequent innovation likelihood were tested using Heckman's two-step approach.

Findings

The authors found that organizational adoption negatively affects the likelihood of subsequent innovation and its homogeneity but positively affects its quality. Moreover, more timely and lower-level adoption can increase the likelihood of users' subsequent innovation.

Originality/value

This study comprehensively explores organizational adoption's effects on users' subsequent innovation behavior and performance, contributing to the literature on UICs and user innovation adoption. It also provides valuable practical implications for firms on how to optimize their adoption decisions to maintain the quantity, quality, and diversity of user innovations.

Keywords

Acknowledgements

This work was supported by grants from the National Natural Science Foundation of China (No. 71810107003) and the National Social Science Foundation of China (No. 18ZDA109). The authors are also grateful to the editorial team and reviewers for their valuable comments that have greatly helped to improve this work.

Citation

Li, W., Lu, Y., Ma, J. and Wang, B. (2023), "Users' subsequent innovation after organizational adoption: evidence from an online game user innovation community", Internet Research, Vol. 33 No. 4, pp. 1446-1472. https://doi.org/10.1108/INTR-08-2021-0578

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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