Digital transformation has emerged as a significant driver of innovation globally, with Gulf Cooperation Council (GCC) nations actively participating in this evolution. This systematic review provides a comprehensive assessment of the digital transformation in the GCC’s oil and gas sector over the past decade. Through a rigorous bibliometric analysis of 505 documents sourced from the SCOPUS database, this study examines trends in research outputs, affiliations, and publication types. The analysis reveals dynamic trends in research outputs, with the GCC showing a substantial growth in publications in recent years, particularly mirroring global trends, albeit on a smaller scale. Despite this progress, GCC publications in 2023 represent approximately 30% of the decade’s total, reflecting opportunities for increased research investment and international collaboration to enhance scientific output. Key findings highlight the United Arab Emirates as a leading contributor with (35%) of publications, followed by Saudi Arabia (29%) and Kuwait (26%). Oman, Bahrain, and Qatar exhibit comparatively fewer publications, suggesting potential areas for increased research focus. Conference papers dominate the scholarly output, comprising 92% of the publications, underscoring their role in disseminating research findings effectively. The top six world-leading research centers in digital transformation in oil and gas were analyzed and found to represent approximately 26% of global publications in the research field. This review contributes to the global discourse on technological adoption, innovation, and sustainable development by synthesizing the existing literature. It emphasizes the imperative of sustained research investment and strategic initiatives to strengthen scientific output in the GCC’s digital transformation of the oil and gas sector. By providing robust analysis and insights into regional contributions, this study informs policymakers, industry leaders, and researchers aiming to advance digital initiatives across the GCC.

Purpose: The retention and success of engineering undergraduates are increasing concern for higher-education institutions. The study of success determinants are initial steps in any remedial initiative targeted to enhance student success and prevent any immature withdrawals. This study provides a comprehensive approach toward the prediction of student academic performance through the lens of the knowledge, attitudes and behavioral skills (KAB) model. The purpose of this paper is to aim to improve the modeling accuracy of students’ performance by introducing two methodologies based on variable selection and dimensionality reduction. Design/methodology/approach: The performance of the proposed methodologies was evaluated using a real data set of ten critical-to-success factors on both attitude and skill-related behaviors of 320 first-year students. The study used two models. In the first model, exploratory factor analysis is used. The second model uses regression model selection. Ridge regression is used as a second step in each model. The efficiency of each model is discussed in the Results section of this paper. Findings: The two methods were powerful in providing small mean-squared errors and hence, in improving the prediction of student performance. The results show that the quality of both methods is sensitive to the size of the reduced model and to the magnitude of the penalization parameter. Research limitations/implications: First, the survey could have been conducted in two parts; students needed more time than expected to complete it. Second, if the study is to be carried out for second-year students, grades of general engineering courses can be included in the model for better estimation of students’ grade point averages. Third, the study only applies to first-year and second-year students because factors covered are those that are essential for students’ survival through the first few years of study. Practical implications: The study proposes that vulnerable students could be identified as early as possible in the academic year. These students could be encouraged to engage more in their learning process. Carrying out such measurement at the beginning of the college year can provide professional and college administration with valuable insight on students perception of their own skills and attitudes toward engineering. Originality/value: This study employs the KAB model as a comprehensive approach to the study of success predictors. The implementation of two new methodologies to improve the prediction accuracy of student success.

Business process re-engineering (BPR) is an approach to improving organizational performance. It evolved mostly within the private sector to maintain a successful business model despite increasing global competition. BPR presents a fundamental improvement in the essential organizational design. This paper investigates recent studies of BPR and identifies the success factors of BPR projects and their connection to the human–technology–organization (HTO) framework. By examining the relevant literature, we study various factors and their effects on the implementation of BPR and how these factors can affect process performance, successfully or otherwise. The aim is to study the literature to determine the success factors and challenges for BPR in the HTO framework. The article concludes by emphasizing the factors that will help to allow BPR to be implemented with a wider use in different sectors.

This research addresses the critical opportunities and challenges confronting economic sustainability for hydrocarbon-based economies. The primary objective is to advocate for a transformative shift towards diversified and knowledge-centric economic models to ensure long-term sustainability. The literature review exposes vulnerabilities in hydrocarbon-based economies. The study innovatively explores multifaceted dimensions of economic diversification, including governance issues, societal well-being, and the necessity for robust ecosystem frameworks. Utilizing a qualitative case study methodology, the research investigates Qatar’s initiatives, such as the Qatar National Vision 2030 and government programs, aiming to reduce dependence on hydrocarbons and foster innovation. Insightful semi-structured interviews provide nuanced perspectives on innovation in the hydrocarbon context with business and academic professionals. The primary data collection method involved the following distinct groups: five business professionals and eleven academic experts, representing eight outstanding local and external organizations. Key findings underscore a holistic view of innovation, associating it with practical solutions, adaptability, and transformative potential, showcasing diverse approaches ranging from business-centric to collaborative and user-centric methods. Identified challenges in the education system, the urgency for a matured innovation ecosystem, and opportunities in sustainable energy further enrich the study. Moreover, this research examines the challenges and mitigation strategies associated with economic diversification in hydrocarbon-driven economies, focusing on Qatar. The research recommends sustained efforts in economic diversification, educational reform, and technological integration for hydrocarbon-based economies. Policymakers, businesses, and academics can leverage these insights to navigate the complexities of resource dependency and ensure long-term viability. The commitment to addressing challenges faced by hydrocarbon-dependent nations remains crucial, with a dedication to fostering economic diversity, innovation, and educational excellence for a resilient and prosperous future.

The bumper beam is a crucial component of the automobile bumper system, responsible for absorbing impact energy and enhancing the safety of passengers during collisions. This paper presents the design and experimental analysis of a 3D-printed composite–plastic hybrid light structure, designed as a collapsible energy absorber. Exploratory testing was conducted using low-impact tests to investigate the failure mechanism and energy absorption capacity of a spiral structure. The design process involved optimizing the spiral diameter by testing specimens with varying diameters between 0.5 cm and 2.5 cm, while keeping other geometric parameters constant. The study employed three types of 3D composite structures, including printed thermoplastic, printed thermoplastic reinforced with Kevlar fiber composite, and printed thermoplastic filled with foam. The thermoplastic–foam composite with nine spirals (diameter = 0.97 cm) yielded the best results. The new design demonstrated high energy absorption capacity and a controlled and progressive failure mechanism, making it a suitable candidate for energy absorption applications.