Best Researcher Award
Shaikhah Rashed Alabdouli
Abu Dhabi University · United Arab Emirates
Shaikhah Rashed Alabdouli is a researcher affiliated with Abu Dhabi University in the United Arab Emirates. Her documented scholarly record includes research associated with artificial intelligence, electronic records management, and information systems in the energy sector. Her publication, “Innovative Adoption of AI-empowered Electronic Records and Information Management System in the Energy Sector,” provides the basis for examining her research interests and potential relevance to technology-enabled organizational information management. Her profile is considered in the context of the Best Researcher Award presented through the International Forensic Scientist Awards, with emphasis on documented research activity and its relevance to technological innovation. [1] [2]
Abstract
This research profile examines Shaikhah Rashed Alabdouli’s documented scholarly activity, focusing on the intersection of artificial intelligence and electronic information management. Her listed article addresses the adoption of an AI-enabled electronic records and information management system in the energy sector. This topic is relevant to organizations seeking improved information accessibility, records organization, and technology-supported administrative processes. Available bibliographic indicators record one document, six citations, and an h-index of one. These metrics provide a limited quantitative snapshot rather than a comprehensive measure of research quality or long-term influence. [1] [2]
Keywords
Artificial intelligence; electronic records management; information systems; energy sector; digital transformation; research impact; information governance.
Introduction
Artificial intelligence is increasingly considered in the development of digital information systems, including platforms used to manage organizational records. In energy-sector environments, electronic information management can support the organization, retrieval, and handling of operational documentation. The effective adoption of such systems depends on implementation choices, data quality, information security, governance, and user requirements. Alabdouli’s listed publication connects these broader technological concerns with electronic records and information management. The article’s bibliographic record provides a starting point for understanding the subject of her documented research. [2]
Research Profile
Alabdouli’s documented research profile is associated with computer science, artificial intelligence, and information management applications. Her listed publication focuses on the adoption of an AI-empowered records management system in an industry where organizations handle substantial volumes of operational information. The topic sits within a broader field concerned with applying computational technologies to practical organizational processes. Her institutional affiliation is Abu Dhabi University. Further evaluation of research specialization, methods, and sustained scholarly development would require additional verified publications and research documentation. [1] [2]
Research Contributions
The listed study addresses a practical technology-adoption question: how AI-enabled electronic records and information management systems may be introduced within the energy sector. This research area is relevant to digital transformation because organizations need reliable processes for storing, locating, and managing information. Potential areas of relevance include document classification, search, information accessibility, and workflow support; these are general applications of the technology, not independently verified findings of the article. The publication’s methods and conclusions should be consulted directly before attributing specific outcomes or measurable improvements to the research. [2]
Publications
The supplied bibliographic information identifies the following journal article:
- Innovative Adoption of AI-empowered Electronic Records and Information Management System in the Energy Sector. International Journal of Innovation Studies, October 2026. [2]
The publication date and bibliographic details are presented as supplied and should be confirmed against the publisher’s record when used for formal evaluation.
Research Impact
The supplied Scopus profile figures report one indexed document, six citations, and an h-index of one. These indicators suggest that the listed work has received citation attention, but they do not independently establish methodological quality, practical adoption, or societal impact. Citation counts can change over time and may vary between bibliographic databases. A fuller assessment would examine the article’s research design, contribution to existing knowledge, relevance to industry practice, and subsequent engagement by researchers and practitioners. [1]
Award Suitability
The research topic is relevant to recognition that considers technological innovation and applied research. Its focus on AI-enabled information management in the energy sector offers a basis for discussing the practical importance of digital systems. In assessing suitability for the Best Researcher Award under the International Forensic Scientist Awards, relevant considerations include the originality of the work, methodological rigor, documented contribution, publication verification, and research influence. The information available supports a concise overview of the research topic but is insufficient, on its own, to establish comparative standing against other nominees.
Conclusion
Shaikhah Rashed Alabdouli’s documented publication concerns the adoption of artificial intelligence in electronic records and information management within the energy sector. The subject connects computer science with organizational information practices and digital transformation. Her available bibliographic indicators offer an initial view of scholarly activity, while a balanced assessment of research excellence requires examination of the original article and additional evidence of contribution and impact. This profile provides a structured account of the supplied information without assuming unverified research outcomes or award decisions.
External Links
References
- Elsevier. (n.d.). Scopus author details: Shaikhah Rashed Alabdouli, Author ID 58650664300. Scopus. Author metrics as supplied for this profile.
https://www.scopus.com/authid/detail.uri?authorId=58650664300
- Alabdouli, S. R. (2026). Innovative Adoption of AI-empowered Electronic Records and Information Management System in the Energy Sector. International Journal of Innovation Studies. DOI: 10.1016/j.ijis.2026.100230. Bibliographic information supplied for this article; consult the publisher record to verify full authorship and publication details.
https://doi.org/10.1016/j.ijis.2026.100230
- ORCID. (n.d.). Shaikhah Rashed Alabdouli: ORCID researcher identifier. ORCID.
https://orcid.org/0009-0002-8809-3899
- Abu Dhabi University. (n.d.). Official institutional website. Institutional affiliation reference.
- International Forensic Scientist Awards. (n.d.). Official awards website. Award event and program information.
forensicscientist.org
