Abstract
The paper analyses the effect of organisational design elements on the level of achieved performance and speed of performance improvement in multiple criteria decision making setups. The analysis is based on an agent based simulation approach. Especially, we model multi criteria decision making as adaptive walk on multiple NK fitness landscapes with different levels of complexity. The results indicate that achieved performance and speed of performance improvement subtly depend on complexity and organisational design elements. The results might throw some new light on complexity. Complexity turns out to affect performance contribution and speed of performance improvement positively in some setups, with respect to multiple objectives.
Keywords
- Performance Improvement
- Coordination Mode
- Complex Objective
- Multiple Criterion Decision
- Multi Criterion
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, access via your institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Chrisopher A. Bartlett and Sumantra Goshal Managing Across Borders: The Transnational Solution. Harvard Business School Press, Boston, 1989.
Carlos A. Coello Coello, Artura H. Aguirre, and Eckart Zitzler. Evolutionary multi-objective optimization. European Journal of Operational Research, 181: 1617–1619, 2007.
Jason P. Davis, Kathleen M. Eisenhardt, and Christopher B. Bingham. Developing theory through simulation methods. Academy of Management Review, 32(2): 480–499, 2007.
Koen Frenken. A fitness landscape approach to technological complexity, modularity and vertical disintegration. Structural Change and Economic Dynamics, 17: 288–305, 2006.
Gary Hammel and Coimbatore K. Prahalad. Competing for the Future. Harvard Business Review, 72(4): 122–128, July-August 1994.
Mohsen Jahangirian, Tillal Eldabi, Aisha Naseer, Lampros K. Stergioulas, and Terry Young. Simulation in manufacturing and business: A review. European Journal of Operational Research, 203(1): 1–13, 2010.
S. Kauffman and S. Levin. Towards a general theory of adaptive walks on rugged landscapes. Journal of Theorecital Biology, 128(1): 11–45, September 1987.
Stuart A. Kauffman. The Origins of Order. Self-organization and Selection in Evolution. Oxford University Press, Oxford, 1993.
Tieju Ma and Yoshiteru Nakamori. Agent-based modeling on technological innovation as an evolutionary process. European Journal of Operational Research, 166(3): 741–755, 2005.
Nicolaj Siggelkow and Jan W. Rivkin. Speed and Search: Designing Organizations for Turbulence and Complexity. Organization Science, 16(2): 101–122, March-April 2005.
Herbert A. Simon. The Architecture of Complexity. In Proceedings of the American Philosophical Society, volume 106, pages 467–482, December 1962.
Geoffrey B. Sprinkle. Perspectives on experimental research in managerial accounting. Accounting, Organizations and Society, 28(2–3): 287–318, 2003.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Leitner, S., Wall, F. (2011). Unexpected Positive Effects of Complexity on Performance in Multiple Criteria Setups. In: Hu, B., Morasch, K., Pickl, S., Siegle, M. (eds) Operations Research Proceedings 2010. Operations Research Proceedings. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20009-0_91
Download citation
DOI: https://doi.org/10.1007/978-3-642-20009-0_91
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20008-3
Online ISBN: 978-3-642-20009-0
eBook Packages: Business and EconomicsBusiness and Management (R0)