Browsing by Author "Ntayi, Joseph Mpeera."

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Adaptation and strategic retirement of secondary school teachers
(Public Organization Review, 2021-06-21) Obella, Elisha.; Munene, Kigozi. John C.; Ntayi, Joseph Mpeera.; Kagaari, James.
This study explains strategic retirement amongst Uganda’s secondary school teachers using work adjustment and development theories. Data relating to psychological adaptation and socio cultural adaptation were attained using a cross-sectional quantitative approach. Primary data was collected using a self-administered questionnaire from 356 responses were received out of the 381 questionnaires that were distributed in 112 secondary schools in western and eastern Uganda. Data were analyzed using Statistical Program for Social Sciences (SPSS) and Analysis of Moment Structures (AMOS). The authors found that there a significant positive relationship between adaptation and strategic retirement amongst Uganda’s secondary school teachers.
Ecologies of innovation among small and medium enterprises in Uganda as a mediator of entrepreneurial networking and opportunity exploitation
(Cogent Business & Management, 2019-07-10) Mayanja, Samuel.; Ntayi, Joseph Mpeera.; Munene, John C.; Kagaari, R.K. James.; Waswa, Balunywa.
This paper examines the mediating effect of ecologies of innovation on the relationship between entrepreneurial networking and opportunity exploitation among small and medium enterprises (SMEs) in Uganda. The study design was a cross-sectional survey, data were analysed using SPSS and Analysis of Moment Structure on a sample of 228 SMEs. The mediated model provides support for the hypothesis that ecologies of innovation partially mediate the relationship between entrepreneurial networking and opportunity exploitation. This confirms that the presence of ecologies of innovation significantly acts as a conduit in the association between entrepreneurial networking and opportunity exploitation. The practical implications are that opportunity exploitation can be understood and predicted through ecologies of innovation, entrepreneurial networking can also predict opportunity exploitation directly. Business owners and managers need to fully understand and utilise the ecologies of innovation to exploit opportunities effectively. Social implications, a deeper understanding of how entrepreneurial networking and ecologies of innovation affect employee relations will not be fully realised until employers create a platform for rational thinking, creativity and learning about this interaction. This study utilises social network theory to extend the existing research on opportunity exploitation.
Ecologies of innovation as a mediator between nexus of generative influence and entrepreneurial networking among small and medium enterprises in Uganda
(Journal of Small Business & Entrepreneurship, 2020-05-28) Mayanja, Samuel Ssekajja.; Ntayi, Joseph Mpeera.; Munene, J.C.; Waswa, Balunywa.; Kagaari, R.K. James.
This paper examines the mediating role of ecologies of innovation in the relationship between nexus of generative influence and entrepreneurial networking among small and medium enterprises (SMEs) in Uganda. A cross sectional survey design using quantitative approach was employed in this study. Data were collected with the help of self-administrated questionnaire from 228 SMEs. Systematic random sampling technique was used. Multiple regression data were analyzed with the help of SPSS software. The results indicated that ecologies of innovation fully mediates the relationship between nexus of generative and entrepreneurial networking. The data was cross sectional in nature, thus limiting monitoring changes in resources accessed from entrepreneurial networks by entrepreneurs over time. The implications are that, policy makers and managers of SMEs should pay more attention to the role of nexus of generative influence in creating ecologies of innovation, conducive environment for employees to interact with mutual influence to advance creativity and innovation that enhance increased access to resources from entrepreneurial networks. The study of nexus of generative influence, ecologies of innovation and entrepreneurial networking using complexity theory among SMEs in Uganda is a contribution to literature.
Informational differences and entrepreneurial networking among small and medium enterprises in Kampala, Uganda: the mediating role of ecologies of innovation
(Cogent Business & Management, 2019-05-29) Mayanja, Samuel Ssekajja.; Ntayi, Joseph Mpeera.; Munene, John C.; Waswa, Balunywa.; Sserwanga, Arthur.; Kagaari, R.K. James.
This paper examines the mediating role of ecologies of innovation in the relationship between informational differences and entrepreneurial networking among small and medium enterprises (SMEs) in Kampala, Uganda. To empirically validate the conceptual model and test the hypothesised relationships, the authors collected data from a sample of 228 SMEs in Kampala district, Uganda purposefully selected for this study. A cross-sectional survey design was adopted, and data were analysed using SPSS/20 and AMOS version 23. The findings exhibit a full mediation of ecologies of innovation in the relationship between informational differences and entrepreneurial networking among SMEs. Besides, informational differences and entrepreneurial networking are insigniﬁcantly related. There were, however, some limitations: as the study was cross-sectional in nature, it was difficult to trace the process of interactions among employees especially, how they attach meaning to information and entrepreneurial networking patterns over time;—the study was conducted in Kampala district among trade, manufacturing, and services sectors only. The implication is that entrepreneurial networking can only be explained and predicted through ecologies of innovation. The study recommends that SME owners/managers need to fully understand and facilitate ecologies of innovation for employees to interact and attach meaning to information. This research contributes to the literature on mediation of ecologies of innovation between informational differences and entrepreneurial networking through its empirical findings of the hypothesised relationships. It theoretically contributes to existing knowledge by integrating complexity systems leadership theory.
Informational differences and entrepreneurial networking among small and medium enterprises in Uganda
(Journal of Global Entrepreneurship Research, 2021-10-25) Mayanja, Samuel Ssekajja; Ntayi, Joseph Mpeera.; Munene, John C.; Waswa, Balunywa.; Kagaari, R.K. James.
Small and medium enterprises (SMEs) establish formal and informal relations to access required resources for business competitiveness in Uganda. The major challenge of acquiring the required resources is attributed to inadequate management of informational differences among employees. This paper examines the relationship between informational differences and entrepreneurial networking among SMEs in Uganda. A mixed research method was deployed. Data were collected using a self-administered questionnaire from 228 SMEs. An interview guide was used for key informants. Stratified random sampling was used in selecting SMEs from the Kampala district, business owners/managers were purposively selected as the respondents. Multiple regression was used, and data were analysed using SmartPLS and Nvivo software. Findings confirmed a significant positive relationship between informational differences and entrepreneurial networking. Specifically, both divergent opinions and new knowledge values are positively associated with entrepreneurial networking. The study recommends that SME owners/managers should establish policies and flat structures as an opportunity to address non-linear interchanges of information. Managers should create an enabling environment for employees with divergent opinions to interact with each other to become innovative with new methods of accessing resources from entrepreneurial networks. Future studies should use a longitudinal approach to study the trends over years. This study extends knowledge of entrepreneurial networking using complexity systems leadership theory.
Performance management practices, information and communication technology (ICT) adoption and managed performance
(Quality Assurance in Education, 2010-04-27) Kagaari, R.K. James.; Munene, John C.; Ntayi, Joseph Mpeera.
Purpose – The purpose of this paper is to demonstrate the need for managers of public universities to pay attention to performance management practices and information communication technology (ICT) adoption in order to achieve successful managed performance. Design/methodology/approach – Using a disproportionate stratified purposive approach, a sample of 900 employees was drawn from four public universities in Uganda. Findings – The results revealed that performance management practices that are vested in agency relations and goal setting with ICT adoption are necessary in the achievement of managed performance in public universities. Practical implications – Building a positive employer-employee relationship and involving employees in setting goals and targets is crucial for successful management of organisations. ICT adoption will further facilitate service quality, service delivery and cost reduction. Originality/value – This paper calls for a new approach to managing employees in public universities in developing countries and Uganda in particular
Positive deviance, ecologies of innovation and entrepreneurial networking
(World Journal of Entrepreneurship, Management and Sustainable Development, 2019-09-20) Mayanja, Samuel Ssekajja.; Ntayi, Joseph Mpeera.; Munene, John C.; Kagaari, R.K. James.; Waswa, Balunywa.; Orobia, Laura.
Purpose The purpose of this paper is to examine the mediating role of ecologies of innovation in the relationship between positive deviance (PD) and entrepreneurial networking among small and medium enterprises (SMEs) in Uganda. Design/methodology/approach A cross-sectional survey design using quantitative approach was employed in this study. Data were collected with the help of self-administrated questionnaires from 228 SMEs. Systematic sampling technique was used. Multiple regression data were analysed with the help of SPSS software.