Staff perception towards cloud computing adoption at universities in a developing country

Sabi, Humphrey M.; Uzoka, Faith-Michael E.; Mlay, Samali V.

doi:10.1007/s10639-018-9692-8

Cited by 22 publications

(21 citation statements)

References 56 publications

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“…Our research model explained 81% of the dependent variable's variance, higher than other studies that examined the adoption of cloud computing (e.g., [31,196]). Sabi, Uzoka [196] study found that their model could explain only 43%, while Sabi, Uzoka [31] study found that their model could explain only 44.7%. The results of the previous studies and the current investigations are compared on variously considered factors.…”

Section: Discussionmentioning

confidence: 53%

A Multi-Analytical Approach to Predict the Determinants of Cloud Computing Adoption in Higher Education Institutions

et al. 2020

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Cloud computing (CC) delivers services for organizations, particularly for higher education institutions (HEIs) anywhere and anytime, based on scalability and pay-per-use approach. Examining the factors influencing the decision-makers’ intention towards adopting CC plays an essential role in HEIs. Therefore, this study aimed to understand and predict the key determinants that drive managerial decision-makers’ perspectives for adopting this technology. The data were gathered from 134 institutional managers, involved in the decision making of the institutions. This study applied two analytical approaches, namely variance-based structural equation modeling (i.e., PLS-SEM) and artificial neural network (ANN). First, the PLS-SEM approach has been used for analyzing the proposed model and extracting the significant relationships among the identified factors. The obtained result from PLS-SEM analysis revealed that seven factors were identified as significant in influencing decision-makers’ intention towards adopting CC. Second, the normalized importance among those seven significant predictors was ranked utilizing the ANN. The results of the ANN approach showed that technology readiness is the most important predictor for CC adoption, followed by security and competitive pressure. Finally, this study presented a new and innovative approach for comprehending CC adoption, and the results can be used by decision-makers to develop strategies for adopting CC services in their institutions.

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Section: Discussionmentioning

confidence: 53%

A Multi-Analytical Approach to Predict the Determinants of Cloud Computing Adoption in Higher Education Institutions

et al. 2020

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“…Intention to adopt cloud computing ( mediating variable ): To capture the ‘intention to adopt cloud computing’ construct, the current study used the instrument developed by Sabi et al (2016, 2017), which was originally adapted from Davis et al (1989). In this respect, many scholars have highlighted the fundamental importance of intention to adopt cloud computing (Oliveira et al , 2014; Yigitbasioglu et al , 2015; Sharma et al , 2016; Loukis et al , 2017; Sabi et al , 2018). For instance, Alkhater et al (2018) found that trust and quality of service are most significant factors affecting organizations’ intention to adopt cloud computing technology.…”

Section: Methodsmentioning

confidence: 99%

“…Nevertheless, the adoption rate is different among various cultural and social structures, which is ignored in the diffusion procedure frequently. The multi-faceted nature of innovation diffusion and technology adoption involves differences in technology adoption rate, which can be attributed to socio-cultural factors in addition to technological and economic factors (Sabi et al , 2016, 2018). Existing cultural and social background of adopters play an essential role in the technology adoption process, which can affect its ultimate failure or success (Herbig and Dunphy, 1998).…”

Section: Theoretical Background and Hypothesismentioning

confidence: 99%

A multifaceted framework for adoption of cloud computing in Malaysian SMEs

Asiaei

Rahim

2019

JSTPM

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Purpose The purpose of this study is to develop a model to understand the relationships among technology, organizational and environmental (TOE) contexts, intention to adopt cloud computing (IACC) and actual usage of cloud computing (AUCC) in small and medium enterprises (SMEs) in Malaysia as a developing country. More specifically, this paper seeks to explore the mediation effect of IACC on the relationship between TOE context and AUCC. Design/methodology/approach A positivist research approach was selected for this study. Drawing largely upon the TOE framework, this study uses survey data from 209 Malaysian SMEs. Structural equation modelling (SEM) based on partial least squares (PLS) was used to assess the structural relations of the research model. Findings The results of the structural model show that data security, technology readiness, top management support, competitive pressure and innovativeness are the most significant factors in predicting the adoption of cloud computing in Malaysian SMEs. Further, the results indicate that intention to adopt cloud computing can play a mediating role between TOE factors and the actual usage of cloud computing. Research limitations/implications The focus upon Malaysian SMEs may diminish the generalizability of the findings. This study provides profound insight into the management and foundation of cloud computing, different types of cloud services and deployment models that could facilitate the management of enterprise strategic resources and contribute to the performance improvement. This study also provides another important implication for practitioners regarding the absolute necessity of value drivers’ identification within enterprise and understand the causal relationships, which are vital in driving those values. Practical implications This study provides several practical guidance for practitioners in deploying cloud services which are most suitable option for their specific technology requirement in their enterprise to enjoy the full benefits of their intangible assets. Another significant implication of this study lies in the fact that it may require a different emphasis on nature and adoption design when there is a higher level of stress on technology-related and cloud computing resources. Originality/value This study contributes to the extant literature by developing an integrative model to identify how a wide set of contextual factors can determine the intention to adopt cloud computing and, in turn, influence the actual usage of cloud computing in SMEs in Malaysia as a developing country.

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“…This has been espoused in various studies (Xing et al, 2018;Oke and Fernandes, 2020). Besides from this ability to adapt and adopt emerging technologies in a quick-paced, dynamic, and proactive manner, other studies have identified factors ranging from behavioral intentions of university stakeholders (Skoumpopoulou et al, 2018) to sociocultural and contextual variables (Karim and Rampersad, 2017;Adams et al, 2018;Sabi et al, 2018). However, Mendoza et al (2019a,b) attest to the lack of CE implementation frameworks within HEI contexts whilst Ramakrishna et al (2020) advocate for the institutionalization of proactive frameworks for facilitating successful adaptation, and adoption of 4IR technologies toward enabling optimal CE implementation in HEIs.…”

Section: Theme 3: Ability Of Extant Strategic Management Framework At the University To Facilitate Effective Governance Of 4ir Technologimentioning

confidence: 97%

Toward a Dynamic Capabilities Framework for Engendering 4IR-Enabled Circular Economy in a University of Technology

et al. 2021

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Universities are placed in a disadvantaged position as it pertains to the holistic adoption of 4th Industrial Revolution (4IR) technologies and their subsequent deployment toward improving circular economy (CE) performance. Accordingly, literature relating to the contribution of 4IR technologies in driving effective CE implementation in higher education institution (HEI) contexts remain limited. In this study, the need for a dynamic capabilities' framework for managing the deployment of 4IR technologies toward enabling CE implementation within the context of a South African University of Technology (SAUoT), is articulated. A single case study research design was adopted for the study with SAUoT serving as the case. Qualitative data was elicited through a brainstorming session with 18 discussants from SAUoT. Thematic analysis was utilized in analyzing the data. Findings highlight the opportunities and challenges associated with the deployment of 4IR technologies in driving CE implementation within SAUoT. Also, it provided the reasons behind the inability of extant management frameworks to facilitate successful deployment of 4IR technologies for improved CE implementation in HEIs. These findings culminated in the proposal for the adoption of a dynamic capabilities-driven framework for improved strategic management in such contexts. The proposed framework presents a platform for facilitating the effective adoption and implementation of 4IR technologies for improving CE implementation performance. This study holds salient implications for the policy makers, academic leaders, and innovation managers in university ecosystems in developing country contexts.

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Staff perception towards cloud computing adoption at universities in a developing country

Cited by 22 publications

References 56 publications

A Multi-Analytical Approach to Predict the Determinants of Cloud Computing Adoption in Higher Education Institutions

A Multi-Analytical Approach to Predict the Determinants of Cloud Computing Adoption in Higher Education Institutions

A multifaceted framework for adoption of cloud computing in Malaysian SMEs

Toward a Dynamic Capabilities Framework for Engendering 4IR-Enabled Circular Economy in a University of Technology

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