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Author: search.filters.author.Mohammad KhalilzadehSubject: search.filters.subject.Best-worst method

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    An integrated decision support model based on BWM and Fuzzy-VIKOR techniques for contractor selection in construction projects
    (Multidisciplinary Digital Publishing Institute (MDPI), 2021-06-02)
    Sustainable development of any country to some extent depends on successful accomplishment of construction projects, particularly infrastructures. Contractors have a key role in the success of these projects. Hence, the selection of a competent contractor as a complicated and hard decision process has a vital importance in the destiny of any construction project. Contractor selection is in essence a multicriteria decision-making that ought to encompass so many aspects of the project and the client's requirements on one hand and the capabilities and past records of the contractors on the other hand. Failure in selecting a competent contractor may cause time and cost overruns; quality shortcomings; increasing in claims, disputes and change orders; and even failure of the project. In spite of deficiencies of selecting a contractor by the rule of “the lowest bid price”, it still prevails in many countries including Iran. In this paper, a new contractor selection model based on the best-worst method (BWM) and well-known Fuzzy-VIKOR techniques is proposed as a solution to overcome the deficiencies of the traditional “lowest bid price” rule. An illustrative example of a water channel construction project verified the applicability of the proposed model in practice.
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    Identifying and prioritizing service compensation factors influencing nurses’ motivation: Application of hybrid fuzzy DEMATEL-BWM method
    (Springer Science+Business Media, 2022-12-17)
    Human resources are a key source of sustainable competitive advantage and are considered as one of the substantial factors for an organization’s success. No organization can survive without its human resources. Understanding employees’ needs, desires, and satisfaction is essential. Organizational managers consider financial and non-financial compensation for employees’ service. There is a need for a practical look at the field of nursing service compensation, especially in the healthcare system. In this study, the factors affecting nursing service compensation in the selected private hospitals in Iran were initially identified and confirmed using the exploratory and confirmatory factor analyses. The three major factors are empowerment components, organizational components, and financial components. Then, the driver factors (causes) and dependent factors (effects) in the nursing service compensation system were investigated and their relationships were determined using the fuzzy DEMATEL technique. Finally, these factors were ranked using the best–worst (BWM) method. The results of BWM indicate that financial components gained the top-ranked, followed by organizational components, and empowerment components.