Users' subsequent innovation after organizational adoption

Evidence from an online game user innovation community

Bibliographic Data

ID12420813
AuthorsWeimo Li (0000-0001-8195-7733, Huazhong University of Science and Technology, corresponding author), Yaobin Lu (0000-0002-2736-8011, Huazhong University of Science and Technology), Jifeng Ma (0000-0003-4960-9039, Huazhong University of Science and Technology), Bin Wang (0000-0002-8591-8528, The University of Texas Rio Grande Valley)
Year2022
Volume33
Issue4
Pages1446-1472
Publication date2022-09-27
Open AccessYes
TypeARTICLE
VenueInternet Research (JOURNAL)
Journal identifiersISSN: 1066-2243 • E-ISSN: 2054-5657
PublisherEmerald Publishing Limited (PUBLISHER • GB)
DOI10.1108/intr-08-2021-0578
OpenAlexW4297330548
LanguageEN
Citations received3
References cited61

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

Business · Creativity · Knowledge management · Originality · Quality (philosophy · User innovation · Computer Science · Digital Marketing and Social Media · Open Source Software Innovations · Psychology · Technology Adoption and User Behaviour · Marketing

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