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A Distributed Fuzzy Multi-Agent-Based System in Collaborative Technology Strategy Making

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  • Maryam Ebrahimi

    (University of Bayreuth, Germany)

Abstract

This study aims to design and implement a new collaborative and integrated multi-agent system (MAS) to support chief executive officers (CEOs) of small-medium enterprises (SMEs) in formulating and implementing the right technology strategy (TS) in the renewable energy (RE) sector. In this regard, the TS requirements and methods are examined, and TSs are presented in two types of general TSs and specific TSs, including research strategies, investment strategies, and technology sourcing strategies, and also, system architecture is explained. Developing a novel comprehensive TS model for SMEs in the RE industry to provide a clear explanation of the systematic TS planning process and designing and implementing a distributed support system for facilitating collaboration between decision makers and TS negotiation are the most important contributions of this paper. In addition to developing existing knowledge about the importance of MAS for TS planning, the present study makes CEOs able to improve the process.

Suggested Citation

  • Maryam Ebrahimi, 2020. "A Distributed Fuzzy Multi-Agent-Based System in Collaborative Technology Strategy Making," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 12(4), pages 51-64, October.
    • Handle: RePEc:igg:jdsst0:v:12:y:2020:i:4:p:51-64
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