Within complex, dispersed global innovation systems, firms exhibit patent-based coopetition, combining competitive and collaborative behaviors. This study proposes an integrated framework for mapping inter-firm patent-based technological coopetition potential by integrating bipartite network and patent metrics. First, a bipartite network was constructed to depict the firms and their technology domains. Second, community detection partitioned the network into multiple communities. Third, two patent metrics of complementarity of revealed patent advantage (RPA) and difference of relative patent position (RPP) were used to classify patent-based technological relationship potential between firms in the same community. Finally, the application and interpretation of the framework were illustrated using firms in the artificial intelligence domain. This paper is conducive to deepening the understanding of coopetition conditions in complex contexts and provides effective support for the identification and management of inter-firm patent-based technological coopetition.
The primary purpose of this study is to answer the two important questions based on the expectancy-value and risk perception theories. First, what factors explain the investment of resources (e.g., Time, Money, Psychology, etc.) by board game entrepreneurs from emerging markets? Second, how can the factors be clustered into people, processes, and technology? Considering the triple perspectives of people, process, and technology, this study aims to explore methods for empowering and motivating the emerging market board game entrepreneurs through crowdfunding. The study findings indicated five major themes as the most influential factors towards deciding the motivation among board game entrepreneurs in emerging economies as affordability of capital by the board game entrepreneurs, social media integration by the board game entrepreneurs, enhancing online communication through digital technologies for board game entrepreneurs, employing serious games by board game entrepreneurs, and entrepreneurial mindset and board games.
This paper discusses the motivational, cognitive, and institutional aspects with which GenAI is used by business students. Using the Gioia approach, qualitative data was collected in the form of 43 participants who gave elaborate answers to 10 open-ended questions on issues related to the concept comprehension, completion of assignments, collaboration in groups, classroom participation, and assessment expectations. The review generated three broad themes, namely Need-Supportive Affordances, Calibrated Offloading, and Constraints and Misalignments. The study has a contribution to the theory of SDT having expanded it to the interaction between human and AI and fine tuning the concept of calibrated offloading. It also emphasizes practical requirements, such as designing balanced assessment plans, integrating AI literacy into the curriculum, and establishing regular institutional policies to make sure that it is used responsibly and in a constructive way.
Artificial intelligence (AI)-enabled cloud services are increasingly embedded in users' daily activities, yet little is known about how user stickiness develops in virtualized service environments. Drawing on process virtualization theory, uses and gratifications theory, and switching costs, this study examines how process virtualization capability shapes user stickiness through sociability gratification and usage gratification. Survey data from 443 AI cloud service users were analyzed using structural equation modeling. Results show that process virtualization capability positively affects both forms of gratification, which increase user stickiness. Switching costs weaken the effect of sociability gratification on stickiness but do not significantly moderate the effect of usage gratification. The study extends research on AI cloud services by distinguishing social and functional gratification pathways to user stickiness and showing how their sensitivity to switching costs differs.
AI-enabled robots increasingly serve older adults, yet many older users resist these technologies in public service settings. This study explains how technology anxiety shapes older adults' passive responses toward AI-enabled robots from a coping perspective. Two survey studies were conducted: an onsite survey of 320 older adults in Eastern China and an online survey of 500 older adults through Credamo. The results show that technology anxiety increases older adults' cynicism and inertia towards AI-enabled robots in public settings, which in turn lead to their restraint coping and behavioural disengagement. The results further show that perceived physical decline strengthens the relationship between technology anxiety and inertia, and perceived cognitive decline strengthens the relationship between technology anxiety and cynicism. The study contributes to research on AI-enabled robot adoption, digital divide, and social inclusion of the aging population by uncovering their coping process towards AI-enabled robots.
