Abstract
The purpose of this study is to identify the criteria that are important for company owners operating in textile industry when selecting a manager. In order to determine these criteria, Multi-Criteria Decision Making (MCDM) techniques are uesd. In today's global and competitive market conditions, the selection of managers for company owners is a multivariate decision-making problem involving multiple criteria. In line with the purpose of the study, firstly, the criteria used in the selection of the managers were determined with a literature review. Four main criteria were determined by interviewing experts based on the determinant criteria. These criteria are determined as work experience, management skills, professional competence, and trust. These four criteria determined within the scope of the research were assessed by the company owners using linguistic variables. The weight of each criterion was determined by using the Fuzzy Analytical Hierarchy Process (FAHP) technique based on pairwise comparisons by means of linguistic variables. According to the results, it was determined that the most important criterion for manager selection in the textile industry is work experience. Then it was determined that trust, management skills, and professional competence came respectively. In the final stage of the implementation, a case study was performed using the fuzzy TOPSIS method and a sensitivity analysis and comparative comparison to check the robustness of the results. In order to test the validity of the proposed method, the decision problem is also analyzed with fuzzy EDAS and fuzzy SAW approaches. As a result, it has been determined that each method’s ranking result is similar and offers realistic solutions. From this perspective, the study presents a new model proposal to the literature as it uses the fuzzy EDAS and fuzzy SAW methods as well as the integrated fuzzy AHP and fuzzy TOPSIS methods in the selection of professional managers in textile industry. With the help of expert opinions in the textile sector, the study has shown that the selection of manager process can be easily solved with MCDM techniques and that the fuzzy TOPSIS method generates logical and reliable results
Highlights
IntroductionBusinesses operate in an environment of change. Businesses that cannot keep up with the change and competition may face the risk of failure both financially (Kaygın et al, 2016: 148) and managerial aspects
With globalization, businesses operate in an environment of change
These results show that proposed integrated fuzzy Analytic Hierarchy Process (AHP) and fuzzy TOPSIS methods are robust and valid. Using these methods jointly as this type of Multi-Criteria Decision Making (MCDM) problems can provide useful information, truthful and rational mechanism for decision makers, firm owners and managers. It has been revealed from the research findings that 277 work experience is the first criterion for company owners in textile sector when selecting managers and it takes precedence over trust criterion
Summary
Businesses operate in an environment of change. Businesses that cannot keep up with the change and competition may face the risk of failure both financially (Kaygın et al, 2016: 148) and managerial aspects. Due to the government incentives and investment supports provided to encourage development at the regional level applied in Turkey, company owners can move their investments outside the region where their businesses started their commercial activities This obligation seems to be an effective This situation confronts the process of selecting professional managers who are in the position of agent of the company owners who are in the principal position within the framework of certain criteria. Based on all these explanations, in today's competitive sector conditions, company owners may face the problem of selecting professional managers for their companies according to certain criteria At this point, the purpose of the research is to determine which criteria the business owners give more weight in the selection of managers working in the textile sector. Test results showed that for the manager selection problem, fuzzy TOPSIS methodology can produce rational, reliable and robust outputs
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