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DETERMINING PREDICTIVE FACTORS OF INTENT TO STAY WITHIN THE HOSPITALITY INDUSTRY

Deighton, Jennifer

Abstract Details

2020, MS, Kent State University, College of Education, Health and Human Services / School of Foundations, Leadership and Administration.
The objective of this study was to determine what factors are predictive of intent to stay within the hospitality industry. The study used the variables of psychological contracts, belonging, perceived organizational support, sense of calling, professional friendships, and background information to determine if they individually or jointly have a predictive effect on one's intent to stay. An online survey instrument was developed to be taken by individuals who have had experiences within the hospitality and/or service industry. Demographics, professional friendships, and perceived organizational support were the main predictors of individuals' intention to stay. There was a mix of positive and negative predictors. Results could be helpful for managers when developing benefits or social experiences. In addition, managers may be able to better assess the variables that assist in retaining quality talent.
Ning-Kuang Chuang (Committee Chair)
Andrew Lepp (Committee Member)
Philip Wang (Committee Member)
66 p.

Recommended Citations

Citations

  • Deighton, J. (2020). DETERMINING PREDICTIVE FACTORS OF INTENT TO STAY WITHIN THE HOSPITALITY INDUSTRY [Master's thesis, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1604663882181397

    APA Style (7th edition)

  • Deighton, Jennifer. DETERMINING PREDICTIVE FACTORS OF INTENT TO STAY WITHIN THE HOSPITALITY INDUSTRY. 2020. Kent State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=kent1604663882181397.

    MLA Style (8th edition)

  • Deighton, Jennifer. "DETERMINING PREDICTIVE FACTORS OF INTENT TO STAY WITHIN THE HOSPITALITY INDUSTRY." Master's thesis, Kent State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=kent1604663882181397

    Chicago Manual of Style (17th edition)