Master data

Title: Emergence of Coordination in Growing Decision-Making Organizations
Subtitle: The Role of Complexity, Search Strategy, and Cost of Effort
Abstract:

Coordination among decision-makers of an organization, each responsible for a certain partition of an overall decision-problem, is of crucial relevance with respect to the overall performance obtained. Among the challenges of coordination in distributed decision-making systems (DDMS) is to understand how environmental conditions like, for example, the complexity of the decision-problem to be solved, the problem’s predictability and its dynamics shape the adaptation of coordination mechanisms. These challenges apply to DDMS resided by human decision-makers like firms as well as to systems of artificial agents as studied in the domain of multiagent systems (MAS). It is well known that coordination for increasing decision-problems and, accordingly, growing organizations is in a particular tension between shaping the search for new solutions and setting appropriate constraints to deal with increasing size and intraorganizational complexity. Against this background, the paper studies the adaptation of coordination in the course of growing decision-making organizations. For this, an agent-based simulation model based on the framework of NK fitness landscapes is employed. The study controls for different levels of complexity of the overall decision-problem, different strategies of search for new solutions, and different levels of cost of effort to implement new solutions. The results suggest that, with respect to the emerging coordination mode, complexity subtly interferes with the search strategy employed and cost of effort. In particular, results support the conjecture that increasing complexity leads to more hierarchical coordination. However, the search strategy shapes the predominance of hierarchy in favor of granting more autonomy to decentralized decision-makers. Moreover, the study reveals that the cost of effort for implementing new solutions in conjunction with the search strategy may remarkably affect the emerging form of coordination. This could explain differences in prevailing coordination modes across different branches or technologies or could explain the emergence of contextually inferior modes of coordination.

Keywords: agent-based modeling; complexity; coordination; decision-making
Publication type: Article in journal (Authorship)
Publication date: 06.12.2019 (Online)
Published by: Complexity
Complexity
to publication
 ( Hindawi Publishing Corporation; )
Title of the series: -
Volume number: 2019
Issue: -
First publication: Yes
Version: -
Page: pp. 1 - 26

Versionen

Keine Version vorhanden
Publication date: 06.12.2019
ISBN (e-book): -
eISSN: 1099-0526
DOI: http://dx.doi.org/10.1155/2019/4398620
Homepage: https://www.hindawi.com/journals/complexity/2019/4398620/
Open access
  • Appeared in open access journal

Assignment

Organisation Address
Fakultät für Wirtschafts- und Rechtswissenschaften
 
Institut für Unternehmensführung
 
Abteilung für Controlling und Strategische Unternehmensführung
Universitätsstrasse 67
9020 Klagenfurt
Austria
   IFU_CSU@aau.at
https://www.aau.at/csu
To organisation
Universitätsstrasse 67
AT - 9020  Klagenfurt

Categorisation

Subject areas
  • 102009 - Computer simulation
  • 502006 - Controlling
Research Cluster
  • Self-organizing systems
Citation index
  • Science Citation Index Expanded (SCI Expanded)
Information about the citation index: Master Journal List
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: I)
Classification raster of the assigned organisational units:
working groups
  • Controlling und strategische Unternehmensführung

Cooperations

No partner organisations selected

Articles of the publication

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