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Businesses struggle with operational optimisation and seek a solution by implementing Business Intelligence (BI) to boost sales. But, due to the lack of research that use actual data from real-world situations; the impetus of this research is to exploit BI parameters to enhance company performance.

The purpose of this research is to plug the research gap in the literature that lies in the association of quality of work life (QWL) and employee performance (EMP) in general, and hospitality industry. So, the research tries to develop and test a theoretical model to address the direct and indirect impact of QWL on EMP with job satisfaction (JSF) and life satisfaction (LSF) as the mediating variables. The research gap identified through the literature review was that there was no empirical study that explored this nexus. The research methodology uses interpretivist paradigm using structural equation modeling (SEM) to test the 10 hypotheses with a sample size of 206 middle-level managers chosen from 22 five-star hotels. Results indicated that QWL had positive significant relationship on JSF, LSF and EMP. LSF had a positive and significant relationship with EMP (β = 0. 6 0 ; t = 1 4. 3 3 ; alpha < 0. 0 1), the QWL also had a significant and positive relationship with the LFS in the hospitality industry (β = 0. 3 ; t = 3. 9 4 ; alpha < 0. 0 1), JFS and LSF had positive and significant relationship in hospitality industry (β = 0. 4 6 ; t = 6. 7 4 ; alpha < 0. 0 1), QWL had a positive and significant relationship with EMP (β = 0. 2 7 ; t = 3. 2 3 ; alpha < 0. 0 1), but JSF had no significant relationship with EMP. The indirect relationship has revealed that JSF mediates a significant positive relationship between QWL and life satisfaction. [ABSTRACT FROM AUTHOR]