This paper aims to synthesize the expanding research on user innovation communities (UICs). It identifies key enablers, decision-making interventions and outcomes while proposing directions for future research.
Using bibliometric methods, including keyword co-occurrence and bibliographic coupling, 784 published articles on UICs were analyzed. The study maps dominant themes, traces their evolution and highlights the theoretical and practical aspects of UIC research.
Lead users and Information and Communication Technology (ICT) are identified as critical enablers of UICs. Key decision interventions like enabling trust, motivating users, building social networks and empowering users significantly enhance user-driven innovation.
This study relies on Scopus, but including WoS and Google Scholar could offer deeper insights; future research may also use Citespace for enhanced analysis and empirically model the links between enablers, interventions and outcomes.
This study reinforces key theories in UICs, including diffusion of innovation for innovation adoption and diffusion, technology acceptance model for user engagement, theory of planned behavior for knowledge sharing, uses and gratification theory for user motivation and actor-network theory for digital innovation dynamics. Practically, firms can leverage lead users, ICT, trust-building and motivation strategies to enhance the effectiveness of UICs.
This paper uniquely combines bibliometric analysis and content analysis to offer a roadmap for advancing UIC research and practical strategies for innovation-driven organizations.
