Aug 2026· Journal of Organizational Behavior· 2 citations· 49 references
TL;DR
The eight contributions examine how design choices such as human‐likeness and gendered cues shape perceptions of AI, how AI alters team processes including decision‐making, trust, and stress, and how training and organizational integration condition sustainable human–AI collaboration.
Abstract
Artificial intelligence (AI) is increasingly part of collaborative work that was once carried out exclusively by humans. In this special issue, we ask whether our future colleagues will even be human and what this means for today's organizations. The eight contributions examine how design choices such as human‐likeness and gendered cues shape perceptions of AI, how AI alters team processes including decision‐making, trust, and stress, and how training and organizational integration condition sustainable human–AI collaboration. Together, the contributions suggest that AI reshapes collective work processes, not only individual judgments. Building on this insight and on sociotechnical systems thinking, we develop a framework that distinguishes where AI is positioned in the social system of work and how much agency it exercises. The framework also raises the normative question of how AI's position in organizations should be governed. Together, the contributions and the framework point toward a research agenda that differentiates between human–AI configurations and treats teams rather than dyads as the unit of analysis.
The study argues that collaborative intelligence should be viewed as an organizational capability rather than merely a technological outcome, requiring deliberate management of human judgment, ethical responsibility, and organizational design.
M. R· International Journal of Phi...· 0 citations
This article synthesizes recent scholarship and practitioner experience into a structured playbook for executives, design leaders, and human resources partners that argues that the value of HAIC depends on three deliberate design choices: who initiates the collaboration, how broad the AI's knowledge scope must be, and...
Jonathan H. Westover· Human Capital Leadership Rev...· 0 citations
This study examines the transformative impact of artificial intelligence (AI) on the future of work from a human-centered, interdisciplinary perspective, highlighting the necessity of interdisciplinary collaboration to ensure that AI not only enhances efficiency but also promotes justice, well-being, and sustainability...
Cumali Kılıç· Çukurova Üniversitesi Sosyal...· 0 citations
An original conceptual model is developed, the Human Leadership Advantage Framework, which organizes sixteen interdependent leadership dimensions into four clusters: moral and ethical grounding, relational and cultural capacity, institutional and strategic stewardship, and adaptive and generative capability, which expl...
Ana Fernanda· Scholedge International Jour...· 0 citations
The central claim is that knowledge management theory must expand to account for a new kind of knowledge repository: AI‐enabled systems whose behavior is shaped by the cumulative judgments of the organizations that use them.
Adrienne N. Moore Terrell, Antwon D. Woods· Knowledge and Process Manage...· 0 citations
This paper examines how AI reshapes managerial decision-making by distinguishing decision augmentation from decision automation, and considers the governance tensions between centralized and decentralized approaches to AI deployment, as well as identifying the leadership competencies that gain value once routine manage...
R. Narenderajan· Scholedge International Jour...· 0 citations
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