Coopetition and Knowledge Sharing in Dynamic Business Environments

Ayesha Alhosani (), Richard Allmendinger () and Mercedes Bleda ()
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Ayesha Alhosani: The University of Manchester
Richard Allmendinger: The University of Manchester
Mercedes Bleda: The University of Manchester

Chapter Chapter 43 in Operations Research Proceedings 2022, 2023, pp 357-363 from Springer

Abstract: Abstract Strategic alliances among competitors are increasingly gaining relevance as business organizations recognize the benefits of learning and sharing resources to succeed in dynamic environments. In an increasingly interconnected business world, it is crucial for companies to reap the benefits that arise from this type of collaboration. We use multi-agent simulation coupled with principles from operations research to study how learning and knowledge sharing within alliances can impact the performance of competing firms in an endogenously changing environment. We consider two types of competing firms: ones that search for business solutions in the business landscape (searchers), and ones that search and also have the power to endogenously change or reshape the landscape to their advantage (shapers). Our model allows us to analyze under which circumstances strategic alliances can help firms to successfully adapt to these endogenously generated changes by allowing them to learn and build up an enhanced knowledge base of the business landscape.

Keywords: Coopetition; NK model; Endogenously-changing landscape; Shaping; Searching; Adaptation (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-031-24907-5_43

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DOI: 10.1007/978-3-031-24907-5_43

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