Derya Kara, Hyelin (Lina) Kim, Gyumin Lee and Muzaffer Uysal
The purpose of this study is to explore the moderating effects of gender and income on the relationship between leadership style and quality of work life (QWL). This study…
Abstract
Purpose
The purpose of this study is to explore the moderating effects of gender and income on the relationship between leadership style and quality of work life (QWL). This study provides meaningful implications for the hospitality industry in terms of gender and income between leadership and QWL.
Design/methodology/approach
Data are collected from five-star hotel employees (n = 443) in Turkey. The hypotheses are tested using hierarchical linear regression. The independent and dependent variables used to test the hypotheses involving the dependent variable of QWL are centered prior to the empirical analysis to avoid potential multicollinearity.
Findings
Transformational and transactional leadership styles were significant predictors of QWL, controlling for the demographic variables (i.e. age, employment statistics and education level), but gender and income were not significant antecedents of QWL. When it comes to the interaction effect of leadership styles and gender, gender showed a statistically significant moderating effect between transformational leadership and QWL, but not between transactional leadership and QWL. Income had a statistically significant moderating effect between both leadership styles and QWL.
Practical implications
The findings of the study potentially affect hotel management by identifying the moderating effect of gender and income of the employees and demonstrating how quality of life of the employees can be improved by leadership styles of managers.
Originality/value
Previous literature has addressed the issue of leadership and its outcomes. However, there has been limited research on examining the relationship among gender, income, leadership style and QWL in the case of hospitality management.
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Derya Kara, Muzaffer Uysal and Vincent P. Magnini
The purpose of this research is to examine gender differences while controlling for select variables on job satisfaction using data collected from employees in the hospitality…
Abstract
Purpose
The purpose of this research is to examine gender differences while controlling for select variables on job satisfaction using data collected from employees in the hospitality industry.
Design/methodology/approach
The study was conducted on 397 employees (234 males and 163 females) in five‐star hotels in Ankara, Turkey.
Findings
The level of job satisfaction is determined by four factors: “management conditions”, “personal fulfillment”, “using ability in the job”, and “job conditions”. The study results show that significant gender differences exist with regard to the “using ability in the job” dimension of job satisfaction. After controlling such variables as age, marital status, monthly income level, education, type of department, position held, length of time in the organization, length of time in the tourism sector, and frequency of job change, most gender differences remained significant.
Research limitations/implications
The use of hotel employees solely representing five‐star hotels may be considered a limitation of this study. The results provide information that can be utilized in understanding, maintaining, and increasing the satisfaction levels of both female and male employees. The findings indicate that fairness and equity in salary and wages are effective tools to increase the job satisfaction levels of male and female employees.
Originality/value
This study focuses on the identification of gender‐specific drivers of job satisfaction while controlling for select demographic variables. The study provides insight into employees' perceptions of certain aspects of the nature of the hospitality and tourism sector in Turkey.
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Derya Deliktaş and Dogan Aydin
Assembly lines are widely employed in manufacturing processes to produce final products in a flow efficiently. The simple assembly line balancing problem is a basic version of the…
Abstract
Purpose
Assembly lines are widely employed in manufacturing processes to produce final products in a flow efficiently. The simple assembly line balancing problem is a basic version of the general problem and has still attracted the attention of researchers. The type-I simple assembly line balancing problems (SALBP-I) aim to minimise the number of workstations on an assembly line by keeping the cycle time constant.
Design/methodology/approach
This paper focuses on solving multi-objective SALBP-I problems by utilising an artificial bee colony based-hyper heuristic (ABC-HH) algorithm. The algorithm optimises the efficiency and idleness percentage of the assembly line and concurrently minimises the number of workstations. The proposed ABC-HH algorithm is improved by adding new modifications to each phase of the artificial bee colony framework. Parameter control and calibration are also achieved using the irace method. The proposed model has undergone testing on benchmark problems, and the results obtained have been compared with state-of-the-art algorithms.
Findings
The experimental results of the computational study on the benchmark dataset unequivocally establish the superior performance of the ABC-HH algorithm across 61 problem instances, outperforming the state-of-the-art approach.
Originality/value
This research proposes the ABC-HH algorithm with local search to solve the SALBP-I problems more efficiently.
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Betul Acar Alagoz, Murat Caner Testik and Derya Dinler
This study aims to create a reliable, collaborative and sustainable business environment with suppliers of a company for providing high-quality and low-cost products on time. A…
Abstract
Purpose
This study aims to create a reliable, collaborative and sustainable business environment with suppliers of a company for providing high-quality and low-cost products on time. A supplier management system that sustains existing suppliers by sharing work based on systematic performance evaluation while developing the supplier base with potential suppliers is proposed.
Design/methodology/approach
Built on quantitative approaches, supplier management functions are integrated in the designed system. A quantitative strengths, weaknesses, opportunities and threats (SWOT) analysis is adapted for evaluating potential suppliers. A multi-objective integer linear programming (ILP) model is developed for the distribution of orders among selected potential and existing suppliers. A performance evaluation scheme based on an exponentially weighted moving average (EWMA) is proposed to evaluate and monitor suppliers' performance over time.
Findings
Proposed system develops a supplier base by methodically selecting and approving new suppliers, and a sustainable relationship with both new and existing suppliers is established based on performance over time. Decisions on retaining or removing suppliers from the base are objectively made by quantitative evaluations. Orders are fairly distributed among suppliers under the constraints imposed by the management. Dependence on a certain set of suppliers and its associated risks are reduced while agility in offering goods is enabled.
Originality/value
Business processes for selecting new suppliers, distributing orders among all suppliers, evaluating and monitoring performance over time are quantitatively integrated to add value in operational decision-making. The proposed system is original in the holistic approach for managing and sustaining multiple suppliers of a company based on performance.