Martin Friesl, Christoph Brielmaier, Leonhard Dobusch
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引用次数: 0
Abstract
An increasing body of work investigates the participation of a diverse set of actors in strategy making. We argue that extant research tends to gloss over a fundamental condition underpinning such participation: while participation may reflect a hierarchical mandate, insofar as it relates to the actual involvement of employees, it is the result of a process of self-selection. From this perspective, forms of participative strategizing are neither fully the outcome of deliberate top-down choice, nor do they form a random pattern that is subject to the whims of individual employees. Such forms of strategizing are rather, as we argue in this paper, based on an endogenous logic of whether and how an individual self-selects, and in turn involves her/himself in the process, or not. To conceptualize the broader phenomenon of strategy participation, we draw on practice theory to conceptualize how individuals knowingly choose to involve themselves in strategizing events and we develop in turn a process model of self-selection as an ongoing social accomplishment. This model elaborates different patterns of participation in strategy making (stabilizing and shifting trajectories) with variable emergent outcomes. We end the paper by discussing the implications of our theorizing for ongoing research on open and participatory strategizing, and for the body of work on strategy as practice.
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.