10 research outputs found

    Machina ex Deus? From Distributed to Orchestrated Agency

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    In this chapter, the author draws on a historical case study of the Australian wine industry to explore variations in collective agency. The inductively derived process model illustrates the emergence of a new profession of scientific win- emaking, which unfolds in three phases. Each phase is characterized by a dis- tinct form of agency: distributed agency during the earliest phase, coordinated agency during later phases, and orchestrated agency during consolidation. In addition to exploring the temporal shifts in agency, the study includes a detailed analysis of the early stages of distributed agency, examining how col- lective agency is achieved in the absence of shared intentions

    A solution looking for problems? A systematic literature review of the rationalizing influence of artificial intelligence on decision-making in innovation management

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    Given innovation's chaotic nature, organizations struggle to make decisions when managing innovation. Both academics and practitioners hope artificial intelligence can solve this problem and provide a solution to support and rationalize innovation processes. The literature on this topic, however, is fragmented. The goal of this paper is to systematically review the literature to guide future research. We build on the garbage can model, as our findings reveal that the rationalizing influences of AI on innovation management as a decision-making process is varied. Our results reveal four main influences that pave the way for future research: AI augmenting rationality, AI augmenting creativity, AI renewing the organizing of innovation, and AI triggering new challenges. Taken together, these findings suggest AI is not a tool that uniformly optimizes innovation management and decision-making but rather, is best understood as a multifaceted solution, with intended and unintended rationalizing influences, in search of problems to solve

    Let the Games Begin: Institutional Complexity and the Design of New Products

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    This study explores how organizations deal with divergent institutional logics when designing new products. Specifically, we investigate how organizations approach and embody institutional complexity in their product design. Through a multimodal study of serious games, we identify two design strategies, the proximity and the amplification strategies, which organizations employ to balance multiple institutional logics and design novel products that meet competing institutional expectations. Our study makes an important theoretical contribution by showing how institutional complexity can be a source of innovation. We also make a methodological contribution by developing a new, multimodal research design that allows for the in-depth study of organizational artifacts. Altogether, we complement our understanding of how institutional complexity is substantiated in organizational artifacts and highlight the role that multimodality plays in analyzing such situations
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