Accelerating Digital Transformation: A Strategic Roadmap for Enterprises Adopting AI, Cloud Computing, and Data-driven Solutions in the Digital Era - An Analytical Study within the Syrian Context

Authors

  • Kahtan Abedalrhman Kanzi Business Consultant, Al-Khobar, Saudi Arabia
  • Ammar Alzaydi Department of Mechanical Engineering, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia / Research Center for Biosystems and Machines, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

DOI:

https://doi.org/10.31033/IJEMR/16.2.2026.1907

Keywords:

Digital Transformation, Artificial Intelligence, Cloud Computing, Data-Driven Solutions, Strategic Roadmap, Syrian Context, Emerging Markets, Business Performance, Technology Adoption, Innovation

Abstract

Digital transformation has become a critical imperative for enterprises across the globe, fundamentally altering how businesses operate and compete. This research undertakes an analytical study within the Syrian context to develop a strategic roadmap for accelerating digital transformation through the adoption of Artificial Intelligence, cloud computing, and data-driven solutions. The Syrian context presents a unique set of challenges and opportunities, characterized by infrastructural limitations, economic constraints, and specific market dynamics. This study aims to provide practical guidance for businesses navigating these complexities, enabling them to leverage digital technologies effectively and achieve sustainable growth. The research begins by examining the current state of digital transformation in Syria, identifying key drivers, challenges, and opportunities specific to the region. It examines the potential of AI to automate processes, enhance decision-making, and deliver personalised customer experiences. Cloud computing is explored as a means to improve scalability, reduce costs, and enable access to advanced digital tools. Data-driven solutions are analyzed for their ability to provide valuable insights, optimize operations, and drive innovation. The study employs a mixed-methods approach, combining qualitative and quantitative data collection techniques. Qualitative data is gathered through in-depth interviews with business leaders, technology experts, and policymakers to understand their perspectives on digital transformation. Quantitative data is collected through surveys and statistical analysis to measure the adoption rate of digital technologies, assess their impact on business performance, and identify the main barriers to digital transformation. The findings of this research will contribute to a deeper understanding of the strategic considerations for digital transformation in emerging markets, providing a valuable resource for enterprises, policymakers, and researchers.

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Published

2026-04-06
CITATION
DOI: 10.31033/IJEMR/16.2.2026.1907
Published: 2026-04-06

How to Cite

Abedalrhman, K., & Alzaydi, A. (2026). Accelerating Digital Transformation: A Strategic Roadmap for Enterprises Adopting AI, Cloud Computing, and Data-driven Solutions in the Digital Era - An Analytical Study within the Syrian Context. International Journal of Engineering and Management Research, 16(2), 163–178. https://doi.org/10.31033/IJEMR/16.2.2026.1907