The purpose of the study reported on in this chapter was to develop a structural equation model (SEM) of the drivers of innovation for information and communication technology (ICT) students. Against a background of research on entrepreneurship and sustainability towards the post-COVID-19 era, factors had previously been identified, which promoted innovation among employees. A literature review, however, also revealed issues, controversies, problems, and challenges related to the effects of knowledge sharing behavior (KSB), self-regulated learning (SRL), and course design characteristics (CDCs) on developing innovative behavior (IB) among ICT students at universities. Solutions and recommendations are provided for managers involved at universities on leveraging attributes of KSB, SRL and CDCs to sustainably trigger innovation and entrepreneurship among ICT students towards the post-COVID-19 era. Future research directions are also considered. In conclusion, a discussion of the overall coverage of the chapter and concluding remarks are provided.
Literature identifies factors promoting Individual Innovative Behaviour (IIB) among employees. The effects of Knowledge-Sharing Behaviour (KSB), Self-Regulated Learning (SRL) and Course-Design Characteristics (CDC) to facilitate developing IIB among undergraduate technology university students is not well understood. The research question and objectives aim to address this literature gap by examining how SRL and CDC act as antecedents of IIB, via the action of knowledge-sharing behaviour. The research employed a quantitative cross-sectional survey. The subjects were 268 students enrolled in technology programmes, from seven Kenyan public universities. Data collection was with the aid of a questionnaire. A 2,000-bootstrap sample generated tested standardised total, direct and indirect effects. Findings are summated in a KSB-IIB structural equation model, with the results largely supporting all hypotheses. Results reveal that CDC and SRL act as significant drivers of KSB and IIB among undergraduate technology students. Recommendations enable academic university education managers to leverage attributes of IIB antecedents.
To summarize the content and provide readers with an overview, the purpose of this chapter is stated as investigating digitalization and the drivers of individual innovative behavior (IIB) for a smart economy in the post-COVID-19 era in terms of the effects of information and communication technology (ICT) students' course design characteristics (CDCs) in developing their IIB. Modelling of the mediating effects of knowledge sharing behavior (KSB) and self-regulated learning (SRL) on ICT students' individual and contextual antecedents is also considered.
Research has identified factors promoting innovative behavior (IB) among employees in organizations. However, the effect of knowledge sharing behavior (KSB), self-regulated learning (SRL), and course design characteristics (CDCs) in developing IB among information technology (IT) students in universities is not well understood. The purpose of the study was developing a structural equation model (SEM) of the drivers of IB among IT students. As very little research simultaneously explores the determinants of undergraduate students' IB, one of the study objectives is to plug the literature gap by examining how SRL and CDCs act as antecedents of IB, via the mediating action of KSB. The findings are summated in a KSB-IB SEM. The results largely support all the hypotheses and suggest a significant indirect relationship between SRL and IB, fully mediated by KSB. The indirect relationship between CDCs and IB was significantly and fully mediated by KSB. The results of the study reveal that both CDCs and SRL act as drivers of KSB and IB among IT students.
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