From Job Satisfaction To Turnover Intentions: A Structural Model Of Stability Predictors In Saudi Arabia’s Mice Sector

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Authors: Abdullah Abonomi
Cited by: 0

Abstract

Employee retention is a growing concern in the MICE (Meetings, Incentives, Conferences, and Exhibitions) sector, where high service demands intensify the risks of turnover. Existing research highlights job satisfaction as a crucial factor, but limited studies have modeled how specific workplace conditions influence turnover intentions through satisfaction-related constructs. This paper examines the mediating roles of career stability perception (CSP) and emotional job experience (EJE) in the relationship between workplace conditions and turnover intentions among employees in the MICE sector in Saudi Arabia. A quantitative, cross-sectional survey was conducted with 372 respondents. Exploratory and confirmatory factor analyses were used to validate measurement constructs. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to examine direct and mediated relationships between variables, including work hours, salary, self-development, leadership, and work environment. Findings reveal that CSP significantly reduces turnover intentions, acting as a key mediator. Self-development and aspects of the work environment exhibited the most substantial positive implications for the elements of satisfaction, whereas work hours and leadership had minimal or no repercussions. EJE, as represented by workplace conditions, did not directly predict turnover. The research provides a nuanced understanding of how specific employee conditions in the workplace impact employee retention and satisfaction. These revelations can inform HR practices in the MICE industry, enhancing stability and reducing turnover.

Fields of Study & Subjects

Job Satisfaction and Organizational Behavior Employee Performance and Management Human Resource and Talent Management

Publication details

Journal / source
International Journal of Business & Management Studies
Volume
07
Issue
01
Pages
49–66
Publication date
18 January 2026