The influence of job characteristics on knowledge sharing and management support as a moderating variable in chartered Universities in Kenya

Authors

  • Rosemary Ntibuka Murithi Meru University of Science and Technology
  • Guyo Saar Huka Meru University of Science and Technology
  • Agnes Mungania Meru University of Science and Technology

DOI:

https://doi.org/10.58506/ajstss.v4i2.322

Keywords:

Job Characteristics, Management Support, Knowledge Sharing, Chartered Universities in Kenya

Abstract

In the rapidly evolving landscape of higher education, universities are increasingly recognized not just as centers of learning, and research, but as dynamic knowledge intensive organizations.  Their core mission to create, disseminate and apply knowledge fundamentally relies on the continuous and effective exchange of information, insights and expertise among faculty, administrative staff and researchers.  The objective of the study was to assess the influence of job characteristics on knowledge sharing with management support as a moderating variable in Chartered Universities in Kenya. A cross-sectional research design was adopted and the target population of the study was 384. Data was collected through a self-designed questionnaire. To determine the ideal sample size, Slovins’formula, was used to arrive at a sample size of 196 managers. Pilot test was done to test the validity of data instrument in six universities that were randomly sampled. The questionnaire was validated by use of Cronbach’s Alpha for Content validity and panel of expert’s reviews to ensure reliability and consistency of results when applied repeatedly under similar conditions. Inferential statistics results showed strong R2 while the results of ANOVA for the regression model showed an F statistic that was within the predictable range. The data was tested for adherence to the assumptions of multiple linear regression and the results indicated that the study complied with the definitive tests of normality, autocorrelation and multicollinearity.  The results showed a positive significance correlation between job characteristics on knowledge sharing in chartered universities in Kenya since (P< 0.05). The study recommends the university management to strategically formulate job characteristic policies that boast knowledge sharing as well as help employees understand how their roles and competencies help promote knowledge sharing.  The study also recommends clear policies on designing jobs whose task significance, job autonomy and job feedback enhances Knowledge sharing among the university teaching and non-teaching staff.  Human resource department should also provide precise guidelines and explicitly integrate knowledge sharing attributes into job description and job specification. The study has implications on theory, empirical and practical contributions to this body of knowledge.

References

Ahamad A., (2018). Job dimension and its impact on Knowledge sharing among employees in Jordanians hospital in Irbid District Jordan. British journal of management (2018); 29 (3) 1467-855.

Appelbaum, E., Bailey, T., Berg, P., & Kalleberg, A. L. (2000). Manufacturing advantage: Why high-performance work systems pay off. Cornell University Press.

Achieng, E. A., Ochieng, I., & Owuor, S. (2020). Effect of job redesign on employee

knowledge sharing in commercial banks in Kisumu, Kenya. Greener Journal of Business and Management Studies, 4(4), 115–137.

Al-Kurdi, O., E. El- Haddadeh, R., & Eldabi, T. (2020). The role of organisational climate in managing knowledge sharing among academics in higher education. International Journal of information Management, 50 (217-227).

Altarwneh, R., Daud, W., & Shamaileh, (2019) Mediating Role of Knowledge Management effectiveness on HRM practices & organization performance relationship. Trends in Social Sciences, Asian Scholar Network, (1), 42-56.

Anaza, N., A., Nowlin, E. L. (2017) What’s mine is mine: A Study of Salesperson Knowledge Withholding & Hoarding Behaviour. Industrial Marketing Management, 64, 14-24.and Affect-Based Trust. Studies in Higher Education

Brown, R. S. (2010). Stratified random sampling. International Encyclopedia of education (3rd Ed.)

Buch, R., Dysvik, A., Kuvaas, B., & Nerstad, C. G. L. (2015). It takes three to tango: Exploring the interplay among training intensity, job autonomy, and supervisor support in predicting knowledge sharing. Human Resource Management, 54(4), 623–635

Campion M., A.,Mumford T.,V, Morgeson, F.,P. Nahrgang J.,D.,(2005) Work Redesign ; Eight obstacles and opportunities, Journal of human resource management 44 (4), 365-390

Cabrera, A., Collins, W. C., & Salgado, J. F. (2006). Determinants of individual engagement in knowledge sharing. The International Journal of Human Resources Management, 17, 245–264.

Cervantes, M, (2017), Higher Education Institutions in the Knowledge Triangle. Foresight and STI Governance, 11(2), 27- 42

Chatterjee, S., Vrontis D. (2022) Knowledge sharing in international market products and process innovation: moderating role of firms’ descriptive capacity. International marketing review 39(3), 706-733.

Chee. Y., F., Keng- Boon, Alain Yee-Long Chong, (2011). HR practices and knowledge sharing; an empirical review 32 (56), 704 -723

Choge, P.J., Chepkiyeng, F, & Cherimo, K. K. (2014). Effects of Task Identify on employee motivation. The International Institute for Science, Technology and Education (IISTE) European Journal of Management USA (6), 33-80

Creswell, J. W., & Poth, C. N. (2016). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). SAGE Publications.

Creswell. J., W. Creswell, J. D. (2017). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Sage publications.

Cleveland, S., & Ellis, T. J. (2015). The impact of role conflict, role ambiguity, and locus of control on organizational knowledge sharing practices. Proceedings from the 48th Hawaii International Conference on System Sciences

Eria, M. Betty E., Christoper B., Mugimu (2022). Applying Hackman and Oldham (1975) Job Characteristic Model in the Analysis of Job Satisfaction at Makerere University- Uganda; an Empirical Paper. Journal of Research and Methods in Education 12 (1), 20 -27.

Edebayo. S., O., Ezenya I., D., (2011) Effect of job autonomy, task identity among health workers in Jos. Nigeria. European journal of social sciences, 14(1) 116 -124.

Foss, N., Minbaieva, D., Pedersen T., Reinholt, M,. (2009) the impact of autonomy, task identify, and feedback on employees motivation to share knowledge. Human resource management, 48, 871-893.

Fullwood, R., Rowley, J & McLean J., (2018) exploring the factors that influence knowledge sharing between academics, journal of knowledge management 1- 13.

Gagne, M. (2003). The role of autonomy support and autonomy orientation in prosocial behaviour engagement. Motivation and emotion, 27 (3), 199-223

Gope S, Elia G, Passiante G. (2018) The Effect of HRM Practices on Knowledge Management Capacity: A Comparative Study in Indian IT Industry. Journal of Knowledge Management, Emerald Publishing 22(3), 1367-3270

Gupta, R., Agrawal, R., & Gupta, A. (2024). Establishing new links between HRM practices and knowledge workers’ retention in the healthcare sector: Knowledge sharing generating moderating effects. American Business Review, 27(1), 96–115.

.Hackman J., R., & Lawler E., E., (1971) Employees reaction to job characteristics. Journal of Applied Psychology, (60) 259-286).

Kothari, C. (2004). Research Methodology, (2nded). New Delhi: New Age International (P) Limited Publishers.

Kiptoo, I., Kimutai, G., Motari, Y., & Onyango, R. (2024). Effect of job design on employee innovative work behaviour in public universities in Uasin Gishu County, Kenya. The Strategic Journal of Business & Change Management, 11(3), 658–671.

Kwahk, K. Y., & Park, D. H. (2016). The impact of role conflict, role ambiguity, and locus of control on organizational knowledge sharing practices. Computers in Human Behavior, 55(B), 888–896

Llopis, O., Foss, N. J., Understanding the climate-knowledge sharing relation: the moderating roles of intrinsic motivation and job autonomy.

Meddour, H., Saoula. O., Majid. A., Auf, A. (2019). Effect of top management support on knowledge transfer and sharing, the mediating role of trust, Humanities and Social sciences reviews 7 (189-198).

Morgeson, F. P., Humphrey, S. E. (2006) The Work Design Questionnaire (WDQ): Developing and Validating a Comprehensive Measure for Assessing Job Design and the Nature of Work. Journal of Applied Psychology,91(6), 1321–1339.

Mugenda, O. M., & Mugenda, A.G. (2003). Research Methods: Qualitative and Qualitative Approaches. Nairobi: African Centre for Technology Studies.

Muinde, C. M., Lewa, P. M., & Kamau, J. N. (2016). The influence of top management support on knowledge sharing during the implementation of ERP systems in Kenya. The International Journal of Business & Management, 4(7).

Nguyen,Phuong Mai (2024) Does employees wellbeing mediate the relationship between job characteristics and job performance in the banking industry? International review of management and marketing 15(1) 53-60

Omid M., K. Alborz G., (2015) Study on the Relation between Job Characteristics (task significant and task identity and Organizational Learning.

Onwuchekwa., Faith C., Okoli & Titus (2020) Job design and employees empowerment in Tertiary Institutions in South East Nigeria, Asian Journal of Education and social sciences (11) 37-45.

Saunders, M., Lewis, P., & Thornhill, A. (2012). Research methods for business students (6th ed.). Pearson Education Limited.

Pekkanen, J., Kianto, A., & Vanhala, M. (2023). Autonomy and knowledge processes: A systematic literary review. In Proceedings of the European Conference on Knowledge Management (Vol. 24, No. 2, pp. 1025–1033)

Pee, L. G., Lee, J. (2015). Intrinsically motivating employees’ online knowledge sharing; understanding the effects of job deign. International journal of information management, 35 (6), 679-690).

Prisca J., C, Friday C., Effect of task identify on employee’s motivation (2014) A survey of Eldoret Polytechnic, Kenya. European journal of Business management (6) (33-70).

Sekaran, U., & Bougie, R. (2010). Research methods for business: A skill-building approach (5th ed.). Wiley.

Shrikant, A. (2019). Research methodology and statistical techniques. New Delhi:

Centrum Press.

Xu, J., Chen, J., Lan, Q., & Zhao, M. (2025). To share or hide under performance pressure: The role of supervisor support in shaping subordinate knowledge management behaviors. Frontiers in Psychology, 16, 1586812

Wu, Y., Hu, X., Wei, J., & Marinova, D. (2022). The effects of attitudes toward knowledge sharing, perceived social norms and job autonomy on employees’ knowledge-sharing intentions. Journal of Knowledge Management, 26(11), 261–281

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Published

2025-12-04

How to Cite

Murithi, R. N., Huka, G. S. ., & Mungania, A. (2025). The influence of job characteristics on knowledge sharing and management support as a moderating variable in chartered Universities in Kenya . African Journal of Science, Technology and Social Sciences, 4(2), SS 213–228. https://doi.org/10.58506/ajstss.v4i2.322