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This study aims to examine the mediating effect of job happiness factor on the relationship between job satisfaction and both employees' performance and turnover intentions in oil and gas industry in the United Arab Emirates (UAE). The study utilized a total of 722 usable questionnaires that were administered to respondents in oil and gas industry in the United Arab Emirates. This study adopted structural equation modelling (SEM) approach to analyze these relationships. The Analysis of Data revealed that job satisfaction factor has a significant direct positive relationship with both factors the employees' performance and the job happiness, while it has a negative insignificant relationship with employees' turnover intention. On the other hand, the Job happiness displays a significant positive direct effect on job performance, but it records a significant negative effect on employee turnover intention. Results show that job happiness plays a mediating role between job satisfaction and employee performance and turnover intention. These findings may guide the implementation of policies by human resources or other organization managements in the UAE Oil and Gas industry. For instance, they may use job happiness (mental well-being) as a predictor of employee behaviors and then formulate recruitment policies that will help maintain employee happiness and satisfaction, thereby helping in employee retention.

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PurposeThis paper aims to identify career development theories that explain the intention to choose college majors in arts and design, to integrate the identified theories and to examine the relationships between determinants of the integrated model. In addition, this study attempts to identify the characteristics of the prospective arts and design students.Design/methodology/approachThe literature review resulted in a multitheoretical framework named as PERISCOPE (Personality of Holland's RIASEC in Social Cognitive and Planned Behavior Theories) to reflect the theories it consisted of. This study collected data from Year 12 students in Surabaya (n = 163) and used PLS-SEM technique to assess the measurement model and the structural model of such framework.FindingsThe results revealed that the integrated model explains 57.8 percent of the variance of the intention to pursue arts and design majors. This paper hence improves the predictive ability of an earlier model by adding a further theory. In addition, this study identified characteristics of the prospective students and concluded that students with artistic personality will have better self-efficacy, which sequentially have perception that pursuing arts and design majors will not be challenging, thus increases their intention to pursue such majors.Originality/valueThis study demonstrated that PERISCOPE framework is better in terms of predictive power in understanding the college major choice in arts and design. As a result, this study adds to the current body of knowledge in the field of college major choice, which was found to be lacking.

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