Growing Institutional Complexity and Field Transition: Towards Constellation Complexity in the German Energy Field

Author:

Bohn Stephan12ORCID,Gümüsay Ali Aslan23ORCID

Affiliation:

1. Freie Universität Berlin

2. Humboldt Institute for Internet and Society (HIIG)

3. LMU Munich

Abstract

AbstractBy applying a dynamic approach to field‐level institutional complexity, we explore how growing institutional complexity affects fields over time. We examine field transition processes, which are shaped by the number of logics, the nature of their relationships and the shifts in dominance. Focusing on Germany's energy field, our analysis identifies a variety of conflicts that arose among up to seven institutional logics in the context of the German energy transition, i.e., the transition towards a low carbon energy market. The paper makes two theoretical contributions to the institutional complexity and field literature. First, we develop a process model explaining the field‐level consequences of two different types of growing complexity, namely increasing and accelerating complexity. Second, we identify conflicting logic constellations as a distinct form of complexity that we term constellation complexity. We discuss our contributions in light of the literature on institutional logics and fields and show how applying a dynamic perspective to institutional complexity supports scholars in conceptualizing field transition processes.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

Management of Technology and Innovation,Strategy and Management,Business and International Management

Reference75 articles.

1. Constructing a climate change logic: an institutional perspective on the “tragedy of the commons”;Ansari S.;Organization Science,2013

2. Multiple institutional logics in organizations: Explaining their varied nature and implications;Besharov M. L.;Academy of Management Review,2014

3. Probabilistic topic models;Blei D. M.;Communications of the ACM,2012

4. Latent Dirichlet allocation;Blei D. M.;Journal of Machine Learning Research,2003

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3