Ahmed Abdullah Khalil Abdo
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Ahmed Abdullah Khalil Abdo has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Abdalwali Lutfi
Associate Professor, College of Business Administration, The University of Kalba, Kalba, Sharjah, United Arab Emirates; Applied Science Research Center, Applied Science Private University, Jordan; MEU Research Unit, Middle East University, Amman, Jordan
1 shared publication - Adi Alsyouf
Department of Managing Health Services & Hospitals, College of Business, Faculty of Business Rabigh, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
1 shared publication - Akif Lutfi Al-Khasawneh
Financial and Administrative Sciences Department, AL-Balqa’ Applied University, Al-Huson 21510, Jordan
1 shared publication - Mahmaod Alrawad
College of Business Administration, King Faisal University, Al-Ahsa 31982, Saudi Arabia
1 shared publication - Mohamed Saad
Department of Accounting, College of Business, King Faisal University, Al-Ahsa 31982, Saudi Arabia
1 shared publication - Mohammed Amin Almaiah
King Abdullah the II IT School, Department of Computer Science, The University of Jordan, Amman 11942, Jordan
1 shared publication
Latest Publications
- Top Cited PapersOpen Access
- 4 February 2022
- Published by MDPI AG in Sustainability
- Vol. 14 (3) , 1802
Factors Influencing the Adoption of Big Data Analytics in the Digital Transformation Era: Case Study of Jordanian SMEs
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.
- 4 February 2022
- Published by MDPI AG in Sustainability
- Vol. 14 (3) , 1802
Top Cited PapersOpen AccessFactors Influencing the Adoption of Big Data Analytics in the Digital Transformation Era: Case Study of Jordanian SMEs
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.