Abstract
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.
Highlights
Big data has gained tremendous attention among scholars [1]
This study proposed a theoretical model by incorporating the Diffusion of Innovation (DOI) and Technology Organization Environment (TOE) frameworks (Figure 1)
The adoption of big data is profoundly beneficial in different sectors
Summary
Big data has gained tremendous attention among scholars [1]. Big data refers to huge and multifaceted data sets that need potent storage systems and tools [2].The characteristics of big data make it distinguishable from conventional data. Big Data Adoption (BDA) is a procedure that permits novelty to change the substructure of an institution [4]. Organizations increase the storage capacity to meet competency and performance requirements [6,7]. It allows dynamic provision for parallel processing and hires ICT-trained academic staff to support and manage varied data types. This study found the determinants affecting BDA in firms. The previous studies employed TOE to examine the factors affecting innovation in firms [23,24]. [25] used the TOE framework to study the impact of the BDA determinants.
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