The Impact of Ethical Climate on Emotional Organizational Commitment: A Survey in the Accommodation Industry

• Main Authors: Melike Gül, Kaya Nihat Pekbay, Kudret Gül
• Format: Article
• Language: English
• Published: Felix-Verlag 2017-12-01
• Series: ILIRIA International Review
• Subjects: emotional organizational commitment; accommodation industry; ethical climate; emotional organizational commitment; accommodation industry
• Online Access: http://iliriapublications.org/index.php/iir/article/view/333

Organizational commitment is crucial in the service-oriented hospitality industry. A service-oriented firm may achieve high quality service standards and customer satisfaction by employing qualified occupations. Employing qualified staff requires motivation and emotional organizational commitment. In addition, having a positive working ethical climate in the firm is crucial for profitability and productivity. Thus, hospitality businesses can achieve industrial competitiveness. The aim of the study is to determine the effect of the ethical climate on the emotional organizational commitment in the accommodation enterprises. The study addresses ethical climate scale developed by Victor and Cullen (1993) and emotional organizational commitment sub-scale developed by Meyer and Allen (1991). The survey data were obtained from a total of 340 participants who employ at six different 5-star hotels operating in Antalya. The first part of the questionnaire covers questions that determine the relationship between employees' organizational ethical climate perceptions and emotional organizational commitment. In the second part, there are questions asked to determine the demographic characteristics of the participants. The ongoing analyzes will be tested by structural equation modelling. Research result will be show positive relationships between positive ethical climate and emotional organizational commitment in accommodation enterprises. In addition, the study examines whether the emotional organizational commitment levels of employees differ or not according to sex, marital status, age, income level, education, study period and departments.