Deniz Philipp Kruse, Golo Rövekamp, Christiana Weber
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Collaboration of Firms With New Forms of Organizing: Extending the Relational View
New forms of organizing (NFOs) such as crowds and communities are increasingly relevant as novel collaboration partners for organizations. Although the motivations and goals that prompt organizations to collaborate (the why) have not changed over time, the way they collaborate (the how) seems to have changed significantly. Surprisingly, research to theorize these new forms of collaboration is still sparse. This conceptual paper investigates the extent to which a widely established theoretical framework—the relational view—can capture this new and mostly undertheorized setting of firm–NFO collaborations. More precisely, we ask whether and how the relational view also applies to this new context of interaction between firms and NFOs. Adopting the relational view’s four determinants as a framework, we systematically analyse and disentangle firms’ collaborations with NFOs. We ground this investigation in two analytical dimensions, the degree of NFO self-organizing and the degree of firm-relatedness. They enable us to exemplify the variety of new forms of collaboration and, most important, to delineate clear differences between firm–NFO collaboration and traditional interorganizational collaboration. We stress the boundaries of the relational view, suggest expanding its scope to capture the variety of firm–NFO collaborations, and propose ways of doing so.
期刊介绍:
Computational and Mathematical Organization Theory provides an international forum for interdisciplinary research that combines computation, organizations and society. The goal is to advance the state of science in formal reasoning, analysis, and system building drawing on and encouraging advances in areas at the confluence of social networks, artificial intelligence, complexity, machine learning, sociology, business, political science, economics, and operations research. The papers in this journal will lead to the development of newtheories that explain and predict the behaviour of complex adaptive systems, new computational models and technologies that are responsible to society, business, policy, and law, new methods for integrating data, computational models, analysis and visualization techniques.
Various types of papers and underlying research are welcome. Papers presenting, validating, or applying models and/or computational techniques, new algorithms, dynamic metrics for networks and complex systems and papers comparing, contrasting and docking computational models are strongly encouraged. Both applied and theoretical work is strongly encouraged. The editors encourage theoretical research on fundamental principles of social behaviour such as coordination, cooperation, evolution, and destabilization. The editors encourage applied research representing actual organizational or policy problems that can be addressed using computational tools. Work related to fundamental concepts, corporate, military or intelligence issues are welcome.