Development and Validation of a Global Job Satisfaction Scale - Ehigbochie, Amenawon Imuwahen
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Humanity now lives and works in two worlds - the physical world and the cyber world. Tech workers are employees, not necessarily Information Technology (IT) professionals, who work in both worlds and seamlessly harness accessible resources in the worlds to meet organizational goals. This category of employees has unique job experiences and is more complicated to manage than the traditional workforce. Job satisfaction - a measurable outcome of employee wellbeing - remains a crucial indicator of an employee's job experience. This psychological health of employees' requisite for organizational…mehr

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Produktbeschreibung
Humanity now lives and works in two worlds - the physical world and the cyber world. Tech workers are employees, not necessarily Information Technology (IT) professionals, who work in both worlds and seamlessly harness accessible resources in the worlds to meet organizational goals. This category of employees has unique job experiences and is more complicated to manage than the traditional workforce. Job satisfaction - a measurable outcome of employee wellbeing - remains a crucial indicator of an employee's job experience. This psychological health of employees' requisite for organizational effectiveness, and global productivity and inclusion is usually measured using a standardized job satisfaction scale. However, existing job satisfaction scales for Tech workers lack specificity of measurement or cultural inclusivity. Furthermore, the job satisfaction scales are usually adopted for use without application guideline and going the full-length trials as done with other health products. This study therefore developed and validated a job satisfaction scale for Tech workers in the global context, designed its application guideline and as well, performed a pivotal trial on the scale.
Autorenporträt
Dr. Ehigbochie Amenawon Imuwahen is a Research Fellow at the Service Science Laboratory of Computer Science department, University of Benin. She earned her Ph.D. in Computer Science from the University of Benin. She is well published in top-ranking, peer-reviewed journals, including Human Behavior and Emerging Technologies and several others.