{"title":"Repositioning Organizational Failure Through Active Acceptance","authors":"G. Schwarz, D. Bouckenooghe","doi":"10.1177/26317877211054854","DOIUrl":null,"url":null,"abstract":"This paper considers the way organizations respond to failure by actively repositioning the failed outcome as success. When an organization fails to meet planned goals, they do not necessarily learn from the experience, automatically terminate the plan, or persist with the failing course of action. Instead, another response is to shift original aspirations by recasting what was achieved, acting as if the ensuing failure is positive, despite indicators suggesting otherwise. As a mode of organizational interpretation, this repositioning reformats the criteria for what is success in order to move forward, enabling organizations to continue failed outcomes and their tasks that are well past their use-by date. After detailing this adjustment, we model an active-acceptance protocol on failure, discussing whether organizational effectiveness is predictable from how firms respond to failure in this way. The paper fills a gap in dialogue specific to failing by opening an alternative path to understand how organizations frame failure differently.","PeriodicalId":50648,"journal":{"name":"Computational and Mathematical Organization Theory","volume":"49 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2021-10-01","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/10.1177/26317877211054854","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
This paper considers the way organizations respond to failure by actively repositioning the failed outcome as success. When an organization fails to meet planned goals, they do not necessarily learn from the experience, automatically terminate the plan, or persist with the failing course of action. Instead, another response is to shift original aspirations by recasting what was achieved, acting as if the ensuing failure is positive, despite indicators suggesting otherwise. As a mode of organizational interpretation, this repositioning reformats the criteria for what is success in order to move forward, enabling organizations to continue failed outcomes and their tasks that are well past their use-by date. After detailing this adjustment, we model an active-acceptance protocol on failure, discussing whether organizational effectiveness is predictable from how firms respond to failure in this way. The paper fills a gap in dialogue specific to failing by opening an alternative path to understand how organizations frame failure 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.