Changing Nature of Work – More Fair Labor Markets and Work Practices through Digital Transformation

Permanent URI for this collectionhttps://hdl.handle.net/10125/112488

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    Understanding Human and AI Complementarity: Perspective of FGCS Employees
    (2026-01-06) Deng, Xuefei; Sun, Rui
    Leveraging human and artificial intelligence (AI) benefits work performance but our knowledge about effective human-AI collaboration remains limited. The study examines the employment experiences of first-generation college students (FGCSs) and their perceptions of human-AI labor division at their workplace. Data were collected from a survey of FGCS employees who attended a public, four-year university in the United States in 2025. Guided by the sociotechnical systems theory and task-technology fit with AI literature, we conducted a thematic analysis on the narrative data of the employees. The qualitative analysis revealed four major themes including AI augmentation, AI automation, human capabilities, and the negative view of “AI Is Not Needed.” The findings suggest that FGCS employees face several challenges, including the lack of knowledge about AI capabilities and ignorance of AI integration at work. The study contributes to the AI and work literature and offers practical implications and suggestions for future research.
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    Putting People in the Center to Study Digital Experiences: A Review of Person-Centered Latent-Variable Approaches in Information Systems
    (2026-01-06) Tang, Willi
    This article presents a systematic review of person-centered quantitative research in Information Systems (IS). Person-centered approaches group individuals into profiles and examine relationships across subpopulations, offering insights beyond the variable-centered approaches dominant in IS. Focusing on latent-variable techniques like latent class analysis and latent transition analysis, the review clarifies terminology, applications, and emerging trends. Findings reveal limited but increasing adoption in top IS outlets. This study aims to bridge disciplinary divides by clarifying methodological distinctions, and encourages greater adoption of person-centered approaches for studying latent group structures for developing more nuanced theories within the field.