Qubahan Academic Journal | 2026
Authors: Alhinai S.; Elshaiekh N.-E.; Al-Suqri M.
DOI: 10.48161/qaj.v6n1a2325
Journal: Qubahan Academic Journal
Year: 2026
Publisher: Qubahan
Document Type: Article
Open Access: All Open Access; Gold Open Access; Green Open Access
Cited by: 0
Oman's logistics scene is growing fast, driven by goals like Oman Vision 2040 and a plan to hit Net-Zero emissions by 2050. Because of this quick growth, keeping things sustainable isn't just a rule; it's super important. Big Data Analytics is known to boost supply chain speed and success. It hasn't gotten much attention for helping logistics be sustainable, especially in countries still working on their economy. A lot of research looks at Big Data stuff separately, like the tech, how it's handled, and the people using it. This research doesn't explain how everything fits together *to* affect the economy, society, and the environment. So, we don't fully understand how Big Data Analytics and sustainability work together in logistics. This study looks at this. It uses a framework that combines a few ideas: how resources help, how things change, tech, organizations, environment and a tech acceptance model. Through interviews with 25 managers in Oman's logistics companies, the study looks at how different abilities work together to improve sustainability. The study shows that Big Data Analytics lets companies spot new chances, stay competitive, and change how they use resources when faced with environmental concerns. By getting info from a country that’s still growing, the study backs up what others say about Big Data Analytics and sustainability. It also gives tips to leaders in business and government who want to use data to push for sustainability in similar markets. © 2026, Qubahan. All rights reserved.
big data analytics; big data analytics capability; dynamic capability view; resource-based view; sustainable logistics; triple bottom line (TBL)