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Evaluating Appointment of Division Managers Using Fuzzy Multiple Attribute Decision Making

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  • Hsu-Lin Chen

    (Department of Business Administration, Chung Yuan Christian University, Taoyuan 32023, Taiwan)

  • Yi-Chung Hu

    (Department of Business Administration, Chung Yuan Christian University, Taoyuan 32023, Taiwan)

  • Ming-Yen Lee

    (Department of Business Administration, Chung Yuan Christian University, Taoyuan 32023, Taiwan)

Abstract

Subsidiaries typically start out as a company division. As the company expands its product lines, the regions it operates in, or the customers it serves, the company is likely to combine the related research and development, procurement, production, and sales departments into a relatively discrete organizational structure. As such, the head of the division is often of equal importance as the company president. In particular, when the product has a competitive advantage, the head of the division has more authority in the company’s future operational planning. Thus, when a company has a multidivisional organizational structure, the heads of those divisions typically have considerable responsibilities. In this study, literature data were combined with a fuzzy Delphi expert questionnaire survey to determine the constructs and criteria for assessing candidates for division manager. Subsequently, the fuzzy decision-making trial and evaluation laboratory (DEMATEL) and the fuzzy DEMATEL-based analytic network process were used to identify the causal relationships between criteria and their weights, and the fuzzy technique for the order of preference by similarity to ideal solution was used to rank the solutions to approximate the company’s optimal candidate for division manager and provide the ideal decision-making solutions, which may offer companies with the reference of selecting the senior executives.

Suggested Citation

  • Hsu-Lin Chen & Yi-Chung Hu & Ming-Yen Lee, 2021. "Evaluating Appointment of Division Managers Using Fuzzy Multiple Attribute Decision Making," Mathematics, MDPI, vol. 9(19), pages 1-24, September.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:19:p:2417-:d:645412
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    References listed on IDEAS

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    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Miles M. Yang & Showing Young & Shyh-Jane Li & Yu-Ying Huang, 2017. "Using System Dynamics to Investigate How Belief Systems Influence the Process of Organizational Change," Systems Research and Behavioral Science, Wiley Blackwell, vol. 34(1), pages 94-108, January.
    3. Pranav Garg & Minyuan Zhao, 2018. "Knowledge sourcing by multidivisional firms," Strategic Management Journal, Wiley Blackwell, vol. 39(13), pages 3326-3354, December.
    4. Yi-Chung Hu & Yu-Jing Chiu & Chung-Sheng Hsu & Yu-Ying Chang, 2015. "Identifying Key Factors for Introducing GPS-Based Fleet Management Systems to the Logistics Industry," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-14, September.
    5. Al-Najjar, Basim & Alsyouf, Imad, 2003. "Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making," International Journal of Production Economics, Elsevier, vol. 84(1), pages 85-100, April.
    6. Eduardo Ordonez‐Ponce & Amelia Clarke, 2020. "Sustainability cross‐sector partnerships: The strategic role of organizational structures," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(5), pages 2122-2134, September.
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