Document Type : Research Paper

Authors

• Abir S. Al-Harrasi ¹
• Haitham Y. Adarbah ²
• Ali H. Al-Badi ²
• Abdul K. Shaikh ³
• Hafidh Al-Shihi ³
• ِAlyaa Al-Barrak ⁴

¹ Petroleum Development Oman, Sultanate of Oman

² Gulf College, Sultanate of Oman

³ Sultan Qaboos University, Sultanate of Oman

⁴ University of Baghdad, Iraq

Abstract

The oil and gas industry relies heavily on IT innovations to manage business processes, but the exponential generation of data has led to concerns about processing big data, generating valuable insights, and making timely decisions. Many companies have adopted Big Data Analytics (BDA) solutions to address these challenges. However, determining the adoption of BDA solutions requires a thorough understanding of the contextual factors influencing these decisions. This research explores these factors using a new Technology-Organisation-Environment (TOE) framework, presenting technological, organisational, and environmental factors. The study used a Delphi research method and seven heterogeneous panelists from an Oman oil and gas company. The paper provides theoretical and practical contributions to BDA research, adding three new factors to the TOE framework and building a conceptual framework that fits the industry context. The findings revealed twenty factors, with organisational strategy, business framework, and suitability being added to the TOE framework. Among all, data quality was identified as the most significant factor.

Keywords

• Big data analytics
• Technology-organization-environment (TOE) framework
• Delphi research method
• Organizational strategy
• Business framework