Industrial Mathematics
Ramin Barati; Sara Fanati Rashidi
Abstract
This study aims to verify the main factors influencing turnover intention in the Iran hospitality industry. The objective of this study is to construct a fuzzy AHP and fuzzy TOPSIS model to evaluate the dimensions of the hotel employee turnover intention model. The performance evaluation for employee ...
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This study aims to verify the main factors influencing turnover intention in the Iran hospitality industry. The objective of this study is to construct a fuzzy AHP and fuzzy TOPSIS model to evaluate the dimensions of the hotel employee turnover intention model. The performance evaluation for employee turnover intention includes Work Itself, Supervision, Coworkers Relationship, Salary and Benefit, Career Opportunities, Job Stress, Perceived Risk, and Job Insecurity. These dimensions generate a final evaluation for ranking priority among the employee turnover intention of the proposed model. The importance of dimensions is evaluated by 20 experts, and decision-making is processed through the fuzzy concept and fuzzy environment. From the critical fuzzy AHP and fuzzy TOPSIS analysis results, the study shows that the most important dimensions of employee turnover intention in the hotel industry model are salary and benefits. Moreover, the results indicate that the least important dimensions are the Co-workers Relationship, Supervision, and Career Opportunities. The second group dimensions that impact employee turnover in the context of the COVID-19 epidemic are Work Itself, Job Stress Perceived Risk, and Job Insecurity. In addition, this study’s results show that three-star hotels have the highest value of turnover intention; the second is the Four and Five-star hotels, and the third is the Below three-star hotels. The results of the study will help businesses in the field of hospitality have a more comprehensive view of human resource management activities. Especially, this study provides implications for hotel managers in understanding employee behavior and their turnover intention during the context of the COVID-19 epidemic based on the eight proposed dimensions.
Decision analysis and methods
Reza Hassanzadeh; Hossein Asghari
Abstract
Sales and Operations Planning (S&OP) includes up-to-date forecasts that lead to sales schedules, production schedules, inventory schedules, customer delivery plans, new product development plans, and financial plans. The purpose of this study is to identify the affecting factors of the implementation ...
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Sales and Operations Planning (S&OP) includes up-to-date forecasts that lead to sales schedules, production schedules, inventory schedules, customer delivery plans, new product development plans, and financial plans. The purpose of this study is to identify the affecting factors of the implementation of the S&OP Process and determine the significance of each of them, as well as the ranking of the implementing department of this process by using the fuzzy AHP and fuzzy TOPSIS. Data collections in this research, by 10 experts of different planning and production departments of Kalleh dairy production company in 2018 have been conducted. To identify the factors, research findings and expert opinion have been used and the required data have been collected through the designed questionnaires. The validity of the questionnaire has been confirmed by the experts in this area, and its reliability has been analyzed using the incompatibility rate of the AHP method. The data analysis in this study was done using coding in Eecel software. The results show that among the S&OP executing parts, the highest impact of factors on UHT section was observed with 0.56 points and the lowest impact on the concentration with 0.37 points. The major affecting factors of sales and operations planning process implementation, relations with countries of the region and the world, customs rules (roof of the outflow of currency from the country in return for raw materials) and inflation rate and currency changes are known that the organization can be grown in order to thrive to generalize these issues.
Decision analysis and methods
Ayda Esmaili Dooki; Parisa Bolhasani; Mohammad Fallah
Abstract
Nowadays selecting the best inspectors has triggered a substantially significant issue among today’s competitive environment, in particular some prominent banks. It’s because the efficient supervision of banking activities is necessary for both achieving a powerful economic environment and ...
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Nowadays selecting the best inspectors has triggered a substantially significant issue among today’s competitive environment, in particular some prominent banks. It’s because the efficient supervision of banking activities is necessary for both achieving a powerful economic environment and financial stability of the country, Chief inspectors as highest position of the banks play an important role. Additionally, the bank inspectors are in charge of supervising bank activities to ensure that there is sufficient capital and reserves to deal with risks when they encounter to critical situations. On the other hand, although the banking supervision costs is really high, but the poor monitoring can bring about higher costs. So, this paper presents a hybrid method of fuzzy AHP and Fuzzy TOPSIS to select the best chief inspector of banks based on some various qualitative and quantitative criteria with different priorities. The Fuzzy AHP and TOPSIS methods are used to determine the weight importance of criteria and ranking the selected inspectors, respectively. The proposed method was applied to a real case study on one of the most prominent Banks of Iran country and the obtained results show that our proposed method is so practical to make the best decision of selecting the bank chief inspectors.
