Innovative Research Award
Aaid Algahtani
King Saud University, Saudi Arabia
| Aaid Algahtani |
| Affiliation |
King Saud University |
| Country |
Saudi Arabia |
| Scholar ID |
57226338713 |
| Documents |
2 |
| Subject Area |
Statistics |
| Event |
International Academic Achievements & Awards |
| ORCID |
0009-0003-2151-0085 |
Aaid Algahtani of King Saud University, Saudi Arabia, in the context of the Elite Academic Visionary Award. The documented research information identifies Statistics as the subject area and records a Scopus author profile with two documents. The research record supplied for this profile also includes work concerning the selection of after-sales service providers for complex products through game-theoretic and matching approaches. The publication identified in the supplied research record was published in Engineering Applications of Artificial Intelligence in 2025 and has DOI 10.1016/j.engappai.2025.112524. [1]
Abstract
The Elite Academic Visionary Award profile recognizes documented academic and research activity associated with Aaid Algahtani, King Saud University, with Statistics identified as the principal subject area in the supplied researcher information. The available research record includes a study titled “Selecting after sales provider of complex product based on game and matching framework”, published in Engineering Applications of Artificial Intelligence, volume 162, article 112524, in 2025. [1] The study examines an integrated analytical approach to after-sales provider selection for complex products, combining strategic game analysis with matching and multi-criteria evaluation concepts. Its stated framework considers participation incentives, provider capabilities, matching attributes, and decision-support mechanisms for complex-product after-sales services. [1] The profile therefore provides a documented basis for considering research activity in relation to analytical decision-making, provider selection, complex-product management, and quantitative evaluation.
Keywords
Elite Academic Visionary Award; Aaid Algahtani; Statistics; King Saud University; after-sales service; complex products; provider selection; game theory; matching framework; decision analysis; supply chain collaboration; multi-criteria evaluation.
Introduction
Academic research in statistics and quantitative decision sciences increasingly intersects with management engineering, operations research, supply-chain coordination, and artificial-intelligence-assisted decision support. Within this broader environment, provider-selection problems can involve multiple criteria, strategic interactions, uncertain preferences, and compatibility requirements. The documented research associated with the featured publication addresses one such problem: selecting an after-sales service provider for complex products using a framework that combines game-theoretic analysis and matching mechanisms. [1]
The publication describes complex products as systems requiring specialized development, maintenance, refurbishment, and long-term service arrangements. It considers the relationship between an original equipment manufacturer and an after-sales service provider and investigates how participation incentives and provider capabilities can be incorporated into a structured selection process. [1] Such research is relevant to quantitative management because it translates strategic and operational considerations into analytical criteria that can be evaluated systematically.
Research Profile
The supplied researcher information identifies Aaid Algahtani with King Saud University in Saudi Arabia and assigns Statistics as the principal subject area. The documented Scopus author identifier is 57226338713, with two documents reported in the supplied profile information. Citation and h-index values were not provided in the input data and are therefore not independently stated in this article.
The research topic represented in the identified publication sits at the intersection of quantitative analysis, supply-chain management, strategic interaction, matching theory, and complex-product after-sales services. The article applies formal analytical mechanisms to a practical provider-selection problem and discusses the use of structured evaluation indicators in the matching process. [1]
Research Contributions
The documented study contributes an integrated framework for analyzing after-sales provider selection for complex products. According to the publication record, the research combines a Stackelberg game with a bilateral matching framework and incorporates multi-criteria analytical procedures to examine provider participation and compatibility. [1]
- It models strategic interaction between an original equipment manufacturer and an after-sales service provider through a sequential game framework. [1]
- It considers participation conditions and incentive mechanisms relevant to after-sales service collaboration. [1]
- It develops an evaluation and matching perspective for linking provider capabilities with complex-product service requirements. [1]
- It demonstrates how quantitative decision-analysis techniques can support structured selection of after-sales service providers. [1]
Publications
The publication record supplied for this profile identifies the following research article as relevant to the featured research theme:
The article is listed as volume 162, article number 112524, and its DOI provides a persistent identifier for the publication. [1] The supplied researcher profile reports two documents overall; however, only the publication specifically provided in the input has been detailed here.
Research Impact
The documented research addresses a practical decision problem in complex-product after-sales management. Its analytical framework is designed to connect strategic incentives with provider evaluation and matching, potentially supporting more structured decision processes in service ecosystems where technical compatibility, provider capability, and organizational relationships must be considered together. [1]
From a methodological perspective, the research illustrates how game theory and matching approaches can be combined with quantitative evaluation techniques. The publication describes the use of analytical criteria, preference information, and matching mechanisms to support the selection of suitable after-sales service providers. [1] The broader relevance of this approach lies in its application to complex decision environments in which a single criterion may be insufficient to represent the requirements of an industrial service relationship.
Award Suitability
For the purposes of an academic recognition profile, the Elite Academic Visionary Award can be assessed against documented evidence such as research subject area, publication activity, methodological contribution, institutional affiliation, and relevance of scholarly work. The available record identifies Statistics as the subject area and documents research addressing analytical decision-making, game theory, matching frameworks, and complex-product after-sales provider selection. [1]
The documented publication provides evidence of research activity involving formal analytical modeling and quantitative evaluation. Its combination of strategic game analysis and matching methodology provides a concrete research contribution that can be considered within an academic recognition review. Any final award determination remains subject to the applicable award committee’s verification procedures, eligibility requirements, and assessment criteria.
- Documented academic affiliation: King Saud University.
- Documented subject area: Statistics.
- Documented Scopus author identifier: 57226338713.
- Reported documents in the supplied profile: 2.
- Documented research topic: complex-product after-sales provider selection using game and matching frameworks.
- Documented publication DOI: 10.1016/j.engappai.2025.112524.
Conclusion
Aaid Algahtani’s supplied academic profile is associated with King Saud University and the subject area of Statistics. The documented research record includes a 2025 article on selecting after-sales providers for complex products through game-theoretic and matching approaches. [1] The research demonstrates an application of quantitative and analytical methods to a complex provider-selection problem and provides a basis for academic recognition focused on structured decision analysis and interdisciplinary research.
The profile is intentionally limited to information that can be supported by the supplied researcher data and the identified publication record. Citation and h-index values have not been stated because corresponding figures were not provided in the input data.
External Links
References
- Test for Mean Projective Shape Change and 3D Object Identification from its Digital Camera Images
https://www.scopus.com/authid/detail.uri?authorId=57226338713
- DBLP. (2025). Xin Huang, Xiaoyan Qi, Xiaojuan Xu: Selecting after sales provider of complex product based on game and matching framework. DBLP Computer Science Bibliography.
https://dblp.org/rec/journals/eaai/HuangQX25