{"title":"When Practices Control Practitioners: Integrating self-reinforcing dynamics into practice-based accounts of managing and organizing","authors":"Waldemar Kremser, J. Sydow","doi":"10.1177/26317877221109275","DOIUrl":null,"url":null,"abstract":"Practice theories inform much of current organization and management research by focusing on social practices “in vivo and in situ,” helping us understand how they are produced, reproduced, connected, and eventually transformed by practitioners. Despite the explicit focus of these theories on process, some important dynamics within and across organizations remain undertheorized. This is particularly true for self-reinforcing processes like escalating commitment or path dependence. While such dynamics have been studied quite extensively with the help of other theories, this work often lacks a clear relation or relevance to lived life in organizations. This paper offers an integration of self-reinforcing dynamics into practice-based theorizing, and thereby outlines a new way of understanding self-reinforcement “in vivo and in situ.” By discussing the role and relevance of specific performative linkages as being “weak signals” for self-reinforcement, we provide a new way of analysing this important process phenomenon that is closer to life lived forward, where outcomes are necessarily uncertain, and practitioners can always choose to act differently.","PeriodicalId":50648,"journal":{"name":"Computational and Mathematical Organization Theory","volume":"27 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational and Mathematical Organization Theory","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/26317877221109275","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 1
Abstract
Practice theories inform much of current organization and management research by focusing on social practices “in vivo and in situ,” helping us understand how they are produced, reproduced, connected, and eventually transformed by practitioners. Despite the explicit focus of these theories on process, some important dynamics within and across organizations remain undertheorized. This is particularly true for self-reinforcing processes like escalating commitment or path dependence. While such dynamics have been studied quite extensively with the help of other theories, this work often lacks a clear relation or relevance to lived life in organizations. This paper offers an integration of self-reinforcing dynamics into practice-based theorizing, and thereby outlines a new way of understanding self-reinforcement “in vivo and in situ.” By discussing the role and relevance of specific performative linkages as being “weak signals” for self-reinforcement, we provide a new way of analysing this important process phenomenon that is closer to life lived forward, where outcomes are necessarily uncertain, and practitioners can always choose to act differently.
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.