The end of “One World”:

Decision-making represents one of the central dimensions of organizational life. Organizations continuously make decisions related to strategy, coordination, innovation, human resources, communication, and market relationships. These processes are rarely purely rational or linear; rather, they emerge through interactions among individuals, routines, institutional pressures, organizational cultures, and external stakeholders.

Over the years, organization and management studies have highlighted how decisions are shaped by bounded rationality, cognitive biases, power relations, and sensemaking dynamics, making organizational decision-making a complex and deeply social phenomenon. In recent years, the diffusion of digital technologies and Artificial Intelligence (AI) has introduced new elements into organizational decision processes. Algorithmic systems, data-driven infrastructures, predictive analytics, and generative AI tools are increasingly integrated into managerial and operational activities, influencing how decisions are produced, interpreted, legitimized, and implemented. As noted by Benbya, Davenport, and Pachidi (2020), AI is progressively transforming organizational structures and practices, not only by automating tasks but also by reshaping organizational cognition and coordination mechanisms. Similarly, Berente et al. (2021) argue that AI should be understood as a managerial and organizational challenge, requiring new forms of governance, accountability, and human-machine collaboration.

This track aims to explore decision-making in contemporary socio-technical environments, with particular attention to the interplay between human actors, processes, and emerging technologies. It welcomes contributions examining decisions at different organizational levels, ranging from strategic and managerial decisions to operational, collaborative, and consumer-oriented processes.

The track encourages reflection on how organizations adapt their decision-making structures in contexts characterized by uncertainty, digital transformation, and increasing reliance on algorithmic systems. Particular attention will also be devoted to the relationship between organizations and consumers. AI-mediated interactions, recommendation systems, personalization algorithms, and conversational agents are increasingly shaping how organizations communicate with and make decisions about consumers, while also influencing consumer trust, perceptions, and behaviors.

The track welcomes theoretical, empirical, and methodological contributions from organization studies, management, marketing, information systems, sociology, behavioral sciences, innovation studies, and related disciplines. Possible topics include organizational decision processes, bounded rationality and cognitive biases, strategic decision-making, human-AI collaboration, algorithmic governance, organizational adaptation to AI, trust and explainability in intelligent systems, automation bias, digital transformation, AI and workplace practices, consumer behavior in AI-mediated environments, ethical and responsible AI, organizational learning, and the societal implications of intelligent technologies. .