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From an environmental psychology perspective, we aim to uncover the role that app discoverability facilitators play in enabling the various perceived values (e.g. social, information and hedonic) necessary for app adoption.

A survey study was conducted and data was analyzed using partial least squares structural equation modeling (PLS-SEM).

Results show that certain consumer review elements (i.e. review quality, review quantity and app ranking), peer influence and app developers' reputation — to varying degrees — influence the three perceived values, which subsequently affect users' app adoption intention. The three perceived values mediate the relationship between app discoverability facilitators and users' app adoption intention.

App store managers and developers should make a greater effort to effectively optimize discoverability and product differentiation.

Guided by environmental psychology, we confirm the importance of app discoverability facilitators regarding their influence on users' general perceptions of an app (e.g. the three perceived values). We also uncover the differentiated effect of the three perceived values on app adoption intention.

The purpose of this study was to investigate the impact of artificial intelligence (AI) adoption on knowledge workers' innovative work behaviors (IWB), as well as the mediating role of stress appraisal and the moderating role of individual learning abilities.

This study analyzed the questionnaire results of 313 knowledge workers, and data analysis was conducted by using SPSS 25.0, SPSS 25.0 macro-PROCESS and AMOS 28.0.

This study found that AI adoption has a double-edged sword effect on knowledge workers' IWB. Specifically, AI adoption can promote IWB by enhancing knowledge workers' challenging stress appraisal, while inhibiting IWB by fostering their hindering stress appraisal. Moreover, individual learning ability significantly moderated the relationship between AI adoption and stress appraisal, which further influenced IWB.

This study integrates the conflicting findings of previous studies and proposes a comprehensive theoretical model based on the theory of cognitive appraisal of stress. This study enriches the research on AI in the field of knowledge management, especially extending the understanding of the relationship between AI adoption and knowledge workers’ IWB by unraveling the psychological mechanisms and behavior outcomes of users' technology usage. Additionally, we provide new insights and suggestions for organizations to seek the cooperation and support of employees in introducing new technologies or driving intelligent transformation.