{"title":"Confronting Power Asymmetries in Partnerships to Address Grand Challenges","authors":"B. Gray, Jill M. Purdy, S. Ansari","doi":"10.1177/26317877221098765","DOIUrl":null,"url":null,"abstract":"Much of the literature on multistakeholder partnerships that addresses grand challenges has extolled the virtues of such partnerships as a means of reducing uncertainty, acquiring resources, and solving local and global wicked problems. These virtues include opening up “access and agendas to wider participation” (Gray, 1989, p. 120), coordinating across jurisdictional boundaries, mobilizing diverse and heterogeneous actors, and generating novel solutions to address these complex problems. Yet partnerships are not panaceas, and the reasons they fall short of their stated aspirations remain underexplored. We argue that attention to the political landscape, and particularly who has power and who does not, can account for the shortfalls of many partnerships. Theory and practice can improve by considering power dynamics in the institutional field that shapes the context in which partnerships unfold and influences the problems partnerships are designed to affect. We consider four field conditions that differ with respect to the degree of power and alignment of goals among actors in the field. We discuss four trajectories of change originating from each of these field conditions that describe shifts in field-level power or alignment of goals: collaboration, contention, consciousness raising, and compliance. We explore the dynamics associated with each trajectory to show how fields may shift toward or away from conditions conducive to building and sustaining collaborative partnerships around grand challenges.","PeriodicalId":50648,"journal":{"name":"Computational and Mathematical Organization Theory","volume":"23 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational and Mathematical Organization Theory","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/26317877221098765","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: 16
Abstract
Much of the literature on multistakeholder partnerships that addresses grand challenges has extolled the virtues of such partnerships as a means of reducing uncertainty, acquiring resources, and solving local and global wicked problems. These virtues include opening up “access and agendas to wider participation” (Gray, 1989, p. 120), coordinating across jurisdictional boundaries, mobilizing diverse and heterogeneous actors, and generating novel solutions to address these complex problems. Yet partnerships are not panaceas, and the reasons they fall short of their stated aspirations remain underexplored. We argue that attention to the political landscape, and particularly who has power and who does not, can account for the shortfalls of many partnerships. Theory and practice can improve by considering power dynamics in the institutional field that shapes the context in which partnerships unfold and influences the problems partnerships are designed to affect. We consider four field conditions that differ with respect to the degree of power and alignment of goals among actors in the field. We discuss four trajectories of change originating from each of these field conditions that describe shifts in field-level power or alignment of goals: collaboration, contention, consciousness raising, and compliance. We explore the dynamics associated with each trajectory to show how fields may shift toward or away from conditions conducive to building and sustaining collaborative partnerships around grand challenges.
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.