The study of entrepreneurship continues to expand as a field of inquiry and remains one of the most attractive realms of research in the field of management science. This study follows an evidence-based research approach and conducts a systematic review and meta-analysis on the entrepreneurship, management, and sustainable development in entrepreneurial firms working in the Middle East. The study has conducted a bibliometric search for outlining the systematic and empirical evidence on entrepreneurship, management, and sustainable development, and to examine the relevant literature from the particular domain, followed by PRISMA guidelines. Total of 25 articles were extracted dated from 2006 to 2020. One of the potential aspects regarding entrepreneurship, management, and sustainable development in the region was the introduction of entrepreneurial led family businesses that unlock the potential of the region. The rapid urbanization and population growth in the Middle East have put massive pressures on their environments. Entrepreneurship had a significant and positive impact on both sustainable development and management. Influenced by the entrepreneurial ecosystem, the Middle Eastern countries showed a dynamic performance at a macro level. This systematic review and meta-analysis provide information on the current state of the empirical entrepreneurship, management, and sustainable development literature.

Scientific breakthroughs in the field of the supply chain must keep pace with technological advancements and environmental changes. Modifying processes, systems, structures, roles, and skills is the goal. The relevance of staff training and the necessity for technology is currently a hot topic in managing changes in the concept of the supply chain in retail business. The purpose of this study is to classify and identify journal and conference articles and undertake analysis of the present paper to develop a deep comprehension of the supply chain in retail business. A systematic mapping study (SMS) examines scientific publications produced over time, focus, locus, and the most widely investigated type of research. It is also the most widely used research method. The SMS technique follows well-established empirical guidelines, and the mapping data is based on Scopus. According to SMS research findings on organizational change, 68 studies match the inclusion criteria. By paper type, method, focus, locus, and year of research publication, we divided 68 publications into topic groups. The current studies are then categorized and quantified based on multiple parameters, topic descriptions, and current research trends.

The primary goal of this study is to investigate the major elements that impact customer attitudes regarding internet purchasing in Jordan. This study employed a qualitative systematic literature review methodology, with 100 existing peer-reviewed articles completed in Jordan chosen for evaluation based on an inclusion/exclusion criterion. The findings of this study were collected utilizing a thematic method, which involved extracting previous researchers' findings from the literature, categorizing similar themes and findings, and drawing conclusions. According to the findings of this survey, the most important elements impacting customer attitudes about online buying in Jordan are trust, cultural hurdles such as uncertainty avoidance and a lack of understanding, security, perceived ease-of-use, and perceived utility. It was also discovered that Hofstede's cultural dimensions’ theory and the technology acceptance model (TAM) can help online businesses identify what factors drive online shopping adoption in Jordan. This study discovered, through a review of available literature, that the online shopping sector in Jordan is currently undeveloped, necessitating more effective growth techniques. Finally, the outcomes of this study provide online merchants with insight into what has to be prioritized in order to entice Jordanian customers to make online purchases. From the findings of this investigation, three areas of inquiry were uncovered for further study. Findings from this study also include suggestions for online retailers and policymakers looking to boost Jordanians' comfort level with making purchases over the Internet. The findings of this study will be invaluable to international online retailers that are considering entering the Jordanian market. They will reveal not only the most important aspects affecting consumers' perceptions of online shopping in Jordan, but also the level of maturity of this sector.

Despite the rare use of the term ‘strategy’ in public and voluntary sector organizations, recent research has seen the use of both the strategy and strategy-as-practice concepts in regulating the innovation perspective within the public sector. The available literature on innovation, strategy, and service delivery within the public sector offers positive insights into forming a new concept of innovation within the public organization sphere. Using a systematic review, we aim to understand the integration of the strategy-as-practice perspective into the public service ethos to drive the innovation perspective forward. The review was performed in two stages, 855 documents were retrieved in the first stage that covered a five-year time span, while 8,620,000 documents were retrieved in the second stage that covered a twenty-three-year time span. We further supported our argument through a quantitative questionnaire with 93 respondents from Kuwait. The findings of the research indicate that public sector policymakers need to pay attention to the social complexity of their context in order to innovate delivered public services. Furthermore, policymakers need to adopt new innovative schemes including innovative strategy practices, digital governance, reform ethos, and mutual constitution in their strategies in order to ensure the innovative public services that are required by their communities.

Social media has grown steadily during the last decade and it is now considered as a new opportunity to use for different purposes such as decision making. The primary objective of this paper is to review articles related to social media and decision making using manual and bibliometrics anal-ysis methods, and to identify top themes in these articles. We have reviewed the papers published between 2008 and the first month of 2019 in Scopus where 1,159 articles were published in this period. These articles come from 733 sources and 3,459 authors. According to our survey, United States is the most productive country. Moreover, most collaborations occurred between two coun-tries of United States and United Kingdom as well as between United States and China. The bibliometrics analysis examines global research in this field from the different point of views.

The Saudi Vision 2030 framework has catalyzed an ambitious digital health transformation within the Kingdom's healthcare system. This systematic review provides a comprehensive analysis of the landscape of research concerning the application of Artificial Intelligence (AI) in Saudi Arabia's health sector and its impact on healthcare efficiency. Utilizing a dataset of 1,250 records from the Scopus and Web of Science databases, with an in-depth analysis of 85 relevant studies, this review maps the conceptual structure and dynamics of this emerging field. The analysis examines publication trends, key research themes, leading contributors, and the methodological focus of the published papers. The results disclose a rapidly growing trend in publications, accelerating from 2021 onwards, driven by national strategic priorities and the need to optimize healthcare delivery. The research is characterized by strong institutional contributions from major Saudi universities and medical cities, with emerging international collaborations. Thematic clusters are dominated by AI in medical imaging and diagnostics, predictive analytics for patient management, AI-driven health informatics, and resource optimization. The findings indicate that AI applications are significantly enhancing diagnostic accuracy, streamlining administrative processes, predicting disease outbreaks, and optimizing resource allocation, thereby contributing markedly to healthcare efficiency. This survey offers a foundational overview of a critical domain within Saudi Arabia's health sector evolution, highlighting the synergistic role of national policy and technological innovation in shaping a future-ready healthcare system.

The emergence of large language models (LLMs), like ChatGPT, has caused a major shift in all academic and professional fields; education being the one impacted the most deeply. The first 200 most cited articles from Scopus on the topic of "large language models" and "education" were selected for a scientometric analysis of this survey. The aim is to map the intellectual landscape, specifying dominant research themes, key contributors, methodological trends, and the emergent challenges that researchers faced during this initial, explosive phase of research. This review systematically analyzes the publication trends, authorship patterns, geographical and institutional contributions, and the conceptual structure of the literature to provide a quantitative and qualitative snapshot of a field that is rapidly changing. The analysis uncovers a domain where exploratory studies, conceptual debates, and early empirical validations dominate, and where the focus of research is mainly on higher education and medical training. The major issues being discussed are academic integrity, assessment redesign, and the ethical integration of AI, while promising applications are personalized learning, automated feedback, and content generation. This survey is a reference for a better understanding of the roots and forefronts of LLM-related educational research as it passes from the initial reaction to systematic integration.

The introduction of Large Language Models (LLMs) in the healthcare sector is a major step, which can for sure transform all aspects of medicine including practice, research, and education. This review of publications presents the first 200 most cited articles which were obtained from a Scopus search on the terms "large language models" and "healthcare". The purpose was to elucidate the knowledge and trends in this fast-growing area. The analysis looks at the yearly publications, the main journals, the most prominent authors and institutions, the leading research areas, the methodological approaches used, and the ethical and regulatory issues that are the most talked about. The results show an increase in the number of scholars interested in this field, especially in 2023 and 2024. Besides that, it was found that there is a lot of high-impact publications going on in the leading multidisciplinary and specialized medical journals areas. The largest research areas that were found are: clinical trials and their outcomes, ethical and governance frameworks, educational integration, and technological advancements and surveys. The research is mainly focused on testing the performance of LLMs like ChatGPT in particular medical tasks but in the background, there are profound concerns about their accuracy, bias, and safety. This review presents the current knowledge state, points out the most active and leading research fronts, and recognizes the gaps with future directions hence it offers the most basic reference for researchers, doctors, and policymakers who will be dealing with the LLMs incorporation into the healthcare system.