Factors Influencing the Adoption of Big Data Analytics in the Digital Transformation Era: Case Study of Jordanian SMEs

Abdalwali Lutfi, Adi Alsyouf, Mohammed Amin Almaiah, Mahmaod Alrawad, Ahmed Abdullah Khalil Abdo, Akif Lutfi Al-Khasawneh, Nahla Ibrahim and Mohamed Saad
Additional contact information
Abdalwali Lutfi: Department of Accounting, College of Business, King Faisal University, Al-Ahsa 31982, Saudi Arabia
Adi Alsyouf: Department of Managing Health Services and Hospitals, Faculty of Business Rabigh, College of Business (COB), King Abdulaziz University, P.O. Box 344, Jeddah 21991, Saudi Arabia
Mohammed Amin Almaiah: Department of Computer Networks, College of Computer Sciences and Information Technology, King Faisal University, Al-Ahsa 31982, Saudi Arabia
Mahmaod Alrawad: Quantitative Method Department, College of Business Administration, King Faisal University, Al-Ahsa 31982, Saudi Arabia
Ahmed Abdullah Khalil Abdo: Accounting Department, College of Science and Human Studies, Shaqra University, P.O. Box 33, Shaqra 11961, Saudi Arabia
Akif Lutfi Al-Khasawneh: Financial & Administrative Sciences Department, Al-Balqa’ Applied University, P.O. Box 50, Al-Huson 21510, Jordan
Nahla Ibrahim: Department of Accounting, College of Business, King Faisal University, Al-Ahsa 31982, Saudi Arabia
Mohamed Saad: Department of Accounting, College of Business, King Faisal University, Al-Ahsa 31982, Saudi Arabia

Sustainability, 2022, vol. 14, issue 3, 1-17

Abstract: Big data (BD) analytics has been increasingly gaining attraction in both practice and theory in light of its opportunities, barriers and expected benefits. In particular, emerging economics view big data analytics as having great importance despite the fact that it has been in a constant struggle with the barriers that prevent its adoption. Thus, this study primarily attempted to determine the drivers of big data analytics in the context of a developing economy, Jordan. The study examined the influence of technological, organizational and environmental factors on big data adoption in the Jordanian SMEs context, using PLS-SEM for the analysis. The empirical results revealed that the relative advantage, complexity, security, top management support, organizational readiness and government support influence the adoption of BD, whilst pressure of competition and compatibility appeared to be of insignificant influence. The findings are expected to contribute to enterprise management and strategic use of data analytics in the present dynamic market environment, for both researcher and practitioner circles concerned with the adoption of big data in developing countries.

Keywords: big data analytics (BDA); big data (BD); big data adoption; security; TOE framework; SMEs; Jordan (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (33)

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