Interrelated Factors Influencing the Adoption of Big Data Applications: Empirical Study in Jordan
Keywords:
Big data adoption, Organizational factors, Technological factors, Environmental factors, Commercial banksAbstract
1 Department of Management Information Systems, School of Business, The University of Jordan, Amman, Jordan. rand.aldmour@ju.edu.jo
2 Department of Marketing, School of Business, The University of Jordan, Amman, Jordan. Eatedalameen@yahoo.com
3 Department of Marketing, School of Business, The University of Jordan, Amman, Jordan. n.jjsaad@outlook.com
4 Department of Accounting, the University of Jordan, Amman, Jordan. H.Zaidan@ju.edu.jo
Received on 25/7/2020 and Accepted for Publication on 28/1/2021.
This study aims to identify the main interrelated factors influencing the adoption of big data applications by commercial banks operating in Jordan. A study model was developed to guide the study based on a literature review and a technology adoption model. A survey approach was employed to collect the required data from 235 target respondents who were in top- and high-level management in commercial banks operating in Jordan.
The study results indicated that nine factors could be extracted from three major constructs: 1) Three factors were derived from organizational construct (top management support and readiness, business strategy orientation and organizational resources); (2) three factors were extracted from the technological construct (compatibility, complexity and security and privacy) and (3) three factors were extracted from environmental construct (business market structure, competition structure and governmental regulations). Findings indicate that organizational factors, technological factors and environmental factors significantly influence the adoption of big data analytics applications in commercial banks operating in Jordan and the “organizational resources” factor was the most important factor.
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