Antecedents of Big Data Analytic Adoption and Impacts on Performance: Contingent Effect

Abdalwali Lutfi (), Akif Lutfi Al-Khasawneh (), Mohammed Amin Almaiah, Ahmad Farhan Alshira’h, Malek Hamed Alshirah, Adi Alsyouf, Mahmaod Alrawad, Ahmad Al-Khasawneh, Mohamed Saad and Rommel Al Ali
Additional contact information
Abdalwali Lutfi: Department of Accounting, College of Business, King Faisal University, Al-Ahsa 31982, Saudi Arabia
Akif Lutfi Al-Khasawneh: Financial and Administrative Sciences Department, AL-Balqa’ Applied University, Irbid University College, Irbid 1293, Jordan
Mohammed Amin Almaiah: Department of Computer Networks, College of Computer Sciences and Information Technology, King Faisal University, Al-Ahsa 31982, Saudi Arabia
Ahmad Farhan Alshira’h: Accounting Department, Faculty of Administrative and Financial Sciences, Irbid National University, Irbid 21110, Jordan
Malek Hamed Alshirah: Department of Accounting, Faculty of Economics and Administrative Sciences, Al Al-Bayt University, Al-Mafraq 25113, Jordan
Adi Alsyouf: Department of Managing Health Services and Hospitals, Faculty of Business Rabigh, College of Business (COB), King Abdulaziz University, Jeddah 21991, Saudi Arabia
Mahmaod Alrawad: Quantitative Method Department, College of Business Administration, King Faisal University, Al Ahsa 31982, Saudi Arabia
Ahmad Al-Khasawneh: Department of Cyber Security, Irbid National University, Irbid 21110, Jordan
Mohamed Saad: Department of Accounting, College of Business, King Faisal University, Al-Ahsa 31982, Saudi Arabia
Rommel Al Ali: The National Research Center for Creativity and Giftness, King Faisal University, Al Hofuf 31982, Saudi Arabia

Sustainability, 2022, vol. 14, issue 23, 1-23

Abstract: The adoption of big data analytics (BDA) is increasing pace both in practice and in theory, owing to the prospects and its potential advantages. Numerous researchers believe that BDA could provide significant advantages, despite constant battles with the constraints that limit its implementation. Here, we suggest an incorporated model to investigate the drivers and impacts of BDA adoption in the Jordanian hotel industry based on the technology–organisation–environment framework and the resource-based view theory. The suggested model incorporates both the adoption and performance components of BDA into a single model. For data collection, in this study, we used an online questionnaire survey. The research model was verified based on responses from 119 Jordanian hotels. This study yielded two significant findings. First, we discovered that relative advantage, organizational readiness, top management support, and government regulations have a major impact on BDA adoption. The study results also reveal a strong and favourable association between BDA adoption and firm performance. Finally, information sharing was found to have a moderating effect on the association between BDA adoption and firm performance. The data revealed how businesses might increase their BDA adoption for improved firm performance. The present study adds to the limited but growing body of literature investigating the drivers and consequences of technology acceptance. The findings of this study can serve as a resource for scholars and practitioners interested in big data adoption in emerging nations.

Keywords: big data analytics (BDA); information sharing; hotels; TOE framework; RBV theory (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 (5)

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