Impact of User Potential Creativity on Digital Product Innovation:Based on the Motivation-Opportunity-Ability Theory
Large models are inherently a form of digital product innovation.Overcoming the bottlenecks of generalizability,reliability,and adaptability in large models and artificial intelligence(AI)necessitates widespread user participation.However,current research about AI lacks exploration of user participation behaviors and their innovative potential across multiple application scenarios.As complementary and counterpart entities to AI,can user potential creativity improve digital product innovation performance?Furthermore,how can enterprises enhance the positive effect of user potential creativity on digital product innovation through digital technologies?This is a cutting-edge theoretical issue that urgently needs in-depth discussion by leveraging China's massive data and rich application scenarios.This study examines digital products on Thingverse,the world's largest 3D printing platform,to explore the impact of user potential creativity on digital product innovation and the role of digital technology use from the perspective of motivation-opportunity-ability(MOA)theory.The findings are as follows.Firstly,user potential creativity constitutes an important influencing factor of digital product innovation performance,particularly from intrinsically motivated lead users.Secondly,digital technology use ways play a crucial moderating role,with explorative use enhancing the positive impact of intrinsic motivation on digital product innovation performance and exploitative use weakening the positive impact of lead users on digital product innovation performance.Therefore,enterprises or platforms focused on digital product innovation should segment users according to their different levels of potential creativity and consider the alignment between different use ways of digital technology and types of innovation opportunities to incentivize heterogeneous users.Different from existing research measuring user creativity by questionnaire,this study utilizes machine learning algorithms to construct the latent variable of user potential creativity by measuring intrinsic motivation and lead users through platform objective data.From the perspective of innovation opportunity,this study distinguishes the moderating effects of exploitive use and explorative use of digital technology.Therefore,this study systematically depicts the inherent relationships between user characteristics(motivation and ability),external environmental features(opportunity),and digital product innovation performance from the perspective of the MOA theory.The conclusions provide a theoretical basis from a user behavior management perspective for China's"AI+"initiatives,facilitating the development of AI applications in multiple scenarios towards verticalization and industrialization,and offering valuable insights for digital product innovation.
user participationpotential creativitydigital product innovationMOA theorydigital technology use
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