Modelling the dynamics of organisational change in a Spanish industrial cooperative
Amaia Sopelana,
Martin Kunc,
Olga Rivera,
Javier Aranceta and
Arturo Rodriguez Castellanos
Journal of the Operational Research Society, 2022, vol. 73, issue 3, 455-466
Abstract:
There is increasing attention on the need for dynamic approaches to manage organisational change in order to sustain competitive advantage in changing business environments. Current frameworks and methods are misleading in terms of the fact that flexibility is a temporal and dynamic condition for survival in environments with a high degree of variability in most real-world organisations. This study aims to examine determinants underpinning organisational change strategies throughout the enterprise lifecycle in order to develop a predictive method that will help managers in the design of effective change options dealing with the complexity of organisational flexibility. A system dynamics model was constructed based on theoretical and empirical data from a case study of a Spanish cooperative company. Then, the predictive method shows the impact of managers’ decisions on organisational flexibility through simulations. The effectiveness of change strategies is investigated through the dynamic behaviour of key variables. These factors cause relevant delays on the desired results and could force firms to choose an inappropriate path for change. This study offers significant implications for theory and practice.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/01605682.2020.1860659 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tjorxx:v:73:y:2022:i:3:p:455-466
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjor20
DOI: 10.1080/01605682.2020.1860659
Access Statistics for this article
Journal of the Operational Research Society is currently edited by Tom Archibald
More articles in Journal of the Operational Research Society from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().