Abstract
Ever since the emergence of big data concept, researchers have started applying the concept to various fields and tried to assess the level of acceptance of it with renown models like technology acceptance model (TAM) and it variations. In this regard, this paper tries to look at the factors that associated with the usage of big data analytics, by synchronizing TAM with organizational learning capabilities (OLC) framework. These models are applied on the construct, intended usage of big data and also the mediation effect of the OLC constructs is assessed. The data for the study is collected from the students pertaining to information technology disciplines at University of Liverpool, online programme. Though, invitation to participate e-mails are sent to 1035 students, only 359 members responded back with filled questionnaires. This study uses structural equation modelling and multivariate regression using ordinary least squares estimation to test the proposed hypotheses using the latest statistical software R. It is proved from the analysis that compared to other models, model 4 (which is constructed by using the constructs of OLC and TAM frameworks) is able to explain 44% variation in the usage pattern of big data. In addition to this, the mediation test performed revealed that the interaction between OLC dimensions and TAM dimensions on intended usage of big data has no mediation effect. Thus, this work provided inputs to the research community to look into the relation between the constructs of OLC framework and the selection of big data technology.
Highlights
BackgroundThe emerging trends in recent years are “Big Data” and “Big Data Analytics” which have become popular globally
This study provides useful insights as results of integration of two technology adoption frameworks aimed to explain the adoption of big data analytics
The adoption of big data analytics is an important field in the literature through exploring its adoption using either the technology acceptance model (TAM) framework or the organizational learning capabilities (OLC) model separately or together would represent a significant contribution
Summary
The emerging trends in recent years are “Big Data” and “Big Data Analytics” which have become popular globally. Many researchers identified learning capabilities as the most important component for innovation and adoption of new processes as well as technologies. The components of TAM are being analyzed with those of OLC in order to establish a prospective solution for the enterprises and management of big data. The other attributes of OLC are managerial commitment, system perspective, openness and experimentation and transfer and integration These parameters have an impact of technology acceptance model. TAM The area of information system management has been studying technology usage and acceptance since early 1970s. OLC The concept of organisational learning has emerged in the field of organisational studies and received increasing attention in the field of information systems and technology management [30, 31]. The following section establishes the concept of OLC and its dimensions
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