JOB SATISFACTION SCALE FOR TECH WORKERS: IMPLEMENTATION COMPASS

Authors

Keywords:

Job satisfaction, JSST, Psychometric scale, Self-assessment, Tech worker

Abstract

Tech workers are not just employees but ubiquitous architects and drivers of the imminent digitalized future. Tech worker’s wellbeing is, therefore, crucial for global prosperity – necessitating their continuous monitoring and management in the workplace. Although a cross-cultural job satisfaction scale has been specifically developed and validated to help gauge the wellbeing of tech workers, christened JSST, it lacked an implementation guideline. This lack of implementation guidelines for the JSST questionnaire can stifle its practicality and, by extension, the wellbeing of Tech workers. The aim of this study, therefore, is to design an implementation guideline for JSST. The implementation guideline was designed using descriptive statistics and algorithmic specification. Adopting a self-assessment online survey on the original Five-point Likert JSST Questionnaire, this study also demonstrated  the implementation of the guideline. 276 valid Tech workers’ job satisfaction self-assessment data solicited globally using the JSST questionnaire was employed to demonstrate the guideline’s feasibility. Overall, the job satisfaction index of the global tech workers has been estimated to fall into the third quartile of satisfaction, Q3, which is low. This low satisfaction index may account for the high turnover and turn-away in the global Tech industry. A notable outcome of this study is the seamless JSST implementation scheme, which is not only effective but also highly adaptable. This scheme can be tailored for the implementation of any multi-faceted psychometric scale, making it a versatile tool for assessing employee wellbeing. The automation for web accessibility of the JSST implementation scheme is encouraged.

Dimensions

Abiona, B. G., Adenuga, O. O., Adeosun, K. G., Fapojuwo, O. E., & Roseje, T. O. (2023). Assessment of job satisfaction among employees of Animal Care Services Consult Limited, Ogbere Remo, Ogun State, Nigeria. FUDMA Journal of Sciences, 7(3), 257-265. https://doi.org/10.33003/fjs-2023-0703-1813

Asenahabi, B. M., & Ikoha, P. A. (2023). Scientific research sample size determination. The International Journal of Science & Technology, 11(7), 8-12. http://dx.doi.org/10.24940/theijst/2023/v11/i7/ST2307-008

Azash, S. M. D., & Thirupalu, N. (2017). Scale for measuring job satisfaction: A review of literature. International Journal of Economic and Business Review, 5(3), 114-123. URL: http://www.eprawisdom.com

Bernhard, U., Porten-Cheé, P., & Schultze, M. (2015). Survey research online. In Political communication in the online world: Theoretical approaches and research designs (pp. 218-232). Routledge https://doi.org/10.4324/9781315707495-15

Ehigbochie, A. I., & Ekuobase, G. O. (2024). A job satisfaction scale for tech workers: Development and validation in the global context. Human Behavior and Emerging Technologies. DOI: https://doi.org/10.1155/2024/8873743

Ferreira, C., Pedrosa, I., & Calheiros, A. (2021). Turnover in Portuguese technology companies: A literature review. CRISTI - Revista Ibérica de Sistemas e Tecnologias de Informação, 2021(E42), 212-227. URL: http://www.risti.xyz

Gomez Gandia, S.A., Gavrila, S.G., Ancillo, A, D,L., & Val, T.D. (2024). RPA as a challenge beyong technology: self-learning and attitude needed for successful RPA implementation in the workplace. Journal of knowledge economy. https://doi.org/10.1007/s13132-024-01865-5

Guobadia, F. E., & Ekuobase, G. O. (2024). An estimation of digital learning culture index of secondary education in Nigeria. Education Research International, 2024(16). https://doi.org/10.1155/2024/6671155

Memon, M. A., Tings, H., Cheahs, J. H., Thurasamy, R., Chuah, F., & Cham, T. H. (2020). Sample size for survey research: Review and recommendations. Journal of Applied Equation Modeling, 4(2). https://doi.org/10.47263/JASEM.4(2)01

Muwanguzi, E. (2022). Job satisfaction: A literature review. Journal of Research in Humanities and Social Science, 10(10), 165-172. URL: http://www.questjournals.org

Oguntayo, S. A., Unegbu, V. E., & Alegbeleye, G. O. (2023). Analysis of professional competencies and job satisfaction of Liberians in private universities in south-west Nigeria. FUDMAN Journal of Sciences, 7(6), 382-390. https://doi.org/10.33003/jjs-2023-0706-2218

Oehlhorn, C. E., Maier, C., & Weitzel, T. (2020). Turnover and turnaway of IT workers: A person-environment fit perspective. SIGMIS-CPR '20, 103-104. http://dx.doi.org/10.1145/3378539.3393838

Robinson, M. A. (2018). Using the multi-item psychometric scales for research and practice in human resource management. Human Resource Management, 739-750. https://doi.org/10.1002/hrm.21852

Segal, D. L., Colidge, F. L., O’Riley, A., & Heinz, B. A. (2006). Structured and semi-structured interviews. In Clinician's handbook of adult behavioral assessment,121-144. https://doi.org/10.1016/B978-012343013-7/50007-0

Statista. (2023). Number of ICT professionals worldwide 2019-2023, by share of website. Retrieved from https://www.statista.com/statistics/1126677/it-employment-worldwide/

Wei, L., Wongvanichtawee, C., & Tang, C.-H. (2024). The role of transformational leadership in mitigating employee turnover: Insights from China’s high-tech industry. Journal of Infrastructure, Policy and Development, 8(9), 7830. https://doi.org/10.24294/jipd.v8i9.7830

Wu, M. J., Zhao, K., & Fils-Aime, F. (2022). Response rates of online surveys in published research: A meta-analysis. Computers and Human Behavior Reports, 7, 100206. https://doi.org/10.1016/j.chbr.2022.100206

Yanchovska, I. (2022). Scales for measuring employee satisfaction. Academic Journal of Mechanics, Transport Communications, 11(10), 31-38. URL: http://www.mtc-aj.com

Zhang, X., Kuchinke, L., Woud, M. L., Veltin, J., & Margraf, J. (2017). Survey method matters: Online/offline questionnaires and face-to-face or telephone interviews differ. Computers in Human Behavior, 71, 172-180. https://doi.org/10.1016/j.chb.2017.02.006

Published

31-12-2024

How to Cite

JOB SATISFACTION SCALE FOR TECH WORKERS: IMPLEMENTATION COMPASS. (2024). FUDMA JOURNAL OF SCIENCES, 8(6), 466-480. https://doi.org/10.33003/fjs-2024-0806-2999

How to Cite

JOB SATISFACTION SCALE FOR TECH WORKERS: IMPLEMENTATION COMPASS. (2024). FUDMA JOURNAL OF SCIENCES, 8(6), 466-480. https://doi.org/10.33003/fjs-2024-0806-2999

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