THE PREDICTIVE POWER OF MEANINGFUL WORK, CAREER SATISFACTION, JOB EMBEDDEDNESS, AND INNOVATION TOWARDS THE EMPLOYEES’ PRODUCTIVITY STRATEGY

Abstract

The present study examines the effect of meaningful work (MW), career satisfaction (CS), job embeddedness (JE), and innovation (INO) on employee productivity (EP). The researchers followed scholars like Zanabazar et al. (2024) and Sumaryono et al. (2025) and based this study on quantitative methods. The data were collected from Egyptian higher educational institutions’ (HEIs) employees using a survey questionnaire. Using path analysis of moment structures (AMOS), the study confirmed a positive effect of factors such as MW, CS, JE, and INO on EP. Besides, the mediation analysis demonstrates a mediating effect of INO in developing the association between MW, CS, and EP, but it does not mediate between JE and EP. The study’s findings will assist in developing policies and plans to enhance the EP by encouraging and promoting employees’ commitment to CS, JE, MW, and INO. The HEIs would launch and promote different training programs to enhance their employees’ MW, CS, JE, and innovative ideas, ultimately leading to improved productivity, performance, and profitability. Finally, the domain literature would be enriched with this study’s empirical contribution.