Determinants of eLearning adoption among instructors in Ugandan public universities

Nyeko, Sonny; Moya, Musa

doi:10.23919/istafrica.2017.8102387

Cited by 7 publications

(8 citation statements)

References 28 publications

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“…IT infrastructure is related with software and hardware technologies [32]. IT infrastructure is a necessity of university as it plays a significant role in technological adoptions [42]. It imparts reliable storage, fast processing, and easy integration for big data management.…”

Section: It Infrastructurementioning

confidence: 99%

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A Model for Decision-Makers’ Adoption of Big Data in the Education Sector

2021

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Big Data Adoption (BDA) has already gained tremendous attention from executives in various fields. However, it is still not well explored in the education sector, where a large amount of academic data is being produced. Therefore, integrating Technology Organization Environment (TOE) and Diffusion of Innovation (DOI), this study aims to develop a theoretical model to identify the factors that influence BDA in the higher education sector. To do so, significant technology-, organization-, and environment-related factors have been extracted from previous BDA studies. Meanwhile, the moderating effects of the university size and the university age are added into the developed model. A sample of 195 data was collected from the managerial side of virtual university (VU) campuses in Pakistan using an online survey questionnaire. Structural equation modeling (SEM) was used to test the research model and developed hypotheses. The results showed that relative advantage, complexity, compatibility, top management support, financial resources, human expertise and skills, competitive pressure, security and privacy, and government policies are significant determinants of BDA. However, the results did not support the influence of IT infrastructure on BDA. Based on the findings, this study provides guidelines for the successful adoption of big data in higher education sector. This study can serve as a piece of help to the ministry of education, administrators, and big data service providers for the smooth adoption of big data.

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Section: It Infrastructurementioning

confidence: 99%

“…[26]. Human expertise plays a note-worthy role in utilizing technological advancement [42]. The relationship between human expertise and skill and BDA is moderated by age [27].…”

Section: Human Expertise and Skillsmentioning

confidence: 99%

A Model for Decision-Makers’ Adoption of Big Data in the Education Sector

2021

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“…Four experts indicated that the organizational compatibility (O3) is an influencing factor. This refers to the level to which the E-Learning modules are compatible with the institutions' objectives or operations [24]. Another factor for the adoption of E-Learning modules is the top management support (O4).…”

Section: Organizational Influencing Factorsmentioning

confidence: 99%

“…The last influencing factor in this category, mentioned in two articles, is the IT knowledge (O5). In this context, it is important that learners are technologically prepared to use the E-Learning modules, and that human resources and technological infrastructure are ready to support the adoption [24].…”

Section: Organizational Influencing Factorsmentioning

confidence: 99%

What Drives a Successful Adoption of E-Learning Modules for Sustainable Management? An Empirical Investigation of Influencing Factors and Challenges

Anke

Hobert

Schümann

2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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In order to have corporations contributing to the environmental and social challenges of the coming years, employees have to develop competences for sustainable management. These competences are necessary to reduce environmental impacts of production or to increase efficiency in terms of energy consumption. In this context, E-Learning modules can offer learner-centered scenarios in which employees can simulate the consequences of their decisions and thereby develop competences for sustainable management. However, such modules focusing on sustainable management have not been used widely. Therefore, the aim of this paper is to investigate the determinants of a successful adoption and the challenges facing this adoption process of E-Learning modules for sustainable management. To achieve this aim, we conducted a literature review and a qualitative interview study. Thereby, we identified eleven general and eight specific influencing factors as well as twelve related challenges that affect the adoption of E-Learning modules for sustainable management.

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“…The IT systems in HILs are complex and diverse, consisting of a diverse set of technologies involving various applications, platforms, educational systems, and cloud applications to support their teaching, learning, research, and administrative processes (Bianchi et al, 2017). Hence, managing IT systems in HILs requires a focus on IT governance (Laita & Belaissaoui, 2017;Nyeko et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

IT Governance Maturity for Uganda's Higher Institutions of Learning

Ndagire

Maiga

Oyo

2022

International Journal of Innovation in the Digital Economy

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The daily application of Information Technology (IT) in public sector organizations and its positioning as a critical driver for economic growth require a focus on implementing IT governance. Despite the increasing application of IT, there is limited academic systematic research regarding the maturity of IT governance and process improvement in Higher Institutions of Learning (HILs). IT in HILs is highly complex, and managing complex systems of processes and platforms in HILs necessitates tools to assess and provide guidelines for integrating organizational processes. This research, therefore, evaluated the IT governance processes in HILs in Uganda and established the maturity level to ensure continuous improvement and organizational maturity. Eight HILs in Uganda were measured using 15 IT processes of the COBIT framework and rated with the generic maturity model. Data were analyzed using MS Excel. Results indicated IT governance maturity level of HILs in Uganda was at level 2 (repeatable).

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Determinants of eLearning adoption among instructors in Ugandan public universities

Cited by 7 publications

References 28 publications

A Model for Decision-Makers’ Adoption of Big Data in the Education Sector

A Model for Decision-Makers’ Adoption of Big Data in the Education Sector

What Drives a Successful Adoption of E-Learning Modules for Sustainable Management? An Empirical Investigation of Influencing Factors and Challenges

IT Governance Maturity for Uganda's Higher Institutions of Learning

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