Mehdi Aghajan Dastjerdi | Innovative Research Award | Coastal Engineering

Innovative Research Award

Mehdi Aghajan Dastjerdi
Yıldız Technical University, Turkey

Mehdi Aghajan Dastjerdi
Country Turkey
Scopus ID 60810531100
Documents 1
Subject Area Coastal Engineering
Event International Academic Achievements & Awards

Mehdi Aghajan Dastjerdi is a researcher affiliated with Yıldız Technical University, Turkey, whose documented research profile includes work within the broader field of coastal engineering. The available scholarly record identifies one Scopus-indexed document, with the present profile recording zero citations and an h-index of zero. This article provides a structured academic recognition profile and considers the relevance of research concerning complex product selection through game-theoretic and matching-framework approaches. [1]

Abstract

This academic recognition article presents the research profile of Mehdi Aghajan Dastjerdi of Yıldız Technical University and examines the scholarly relevance of research addressing the selection of after-sales providers for complex products using game-theoretic and matching-framework concepts. Complex products frequently require coordinated post-sale services, and provider selection can involve multiple stakeholders, preferences, constraints, strategic interactions, and compatibility considerations. Matching theory offers a formal basis for representing preference-based allocation problems, while game theory can be used to examine strategic behavior among participating decision makers. [2] The combination of these perspectives can provide a structured analytical basis for evaluating provider–product or provider–customer relationships. The documented Scopus profile currently contains one publication and records zero citations and an h-index of zero. [1]

Keywords

Keywords: Innovative Research Award; Mehdi Aghajan Dastjerdi; Yıldız Technical University; Coastal Engineering; after-sales provider selection; complex products; game theory; matching framework; provider selection; decision analysis; preference matching; service systems; academic innovation.

Introduction

Research on complex product and service systems often requires decision models capable of representing several participants and competing objectives. After-sales service can be particularly important for products that involve specialized maintenance, technical support, replacement components, or long-term service relationships. Selecting an appropriate provider therefore extends beyond a simple price comparison and may require consideration of capability, compatibility, preferences, reliability, service quality, and strategic interaction.

Game theory provides mathematical tools for examining situations in which the outcomes available to one participant depend partly on the actions or decisions of other participants. [3] Matching theory, meanwhile, studies the formation of mutually acceptable or preference-based relationships between groups of participants. Stable matching models have been widely applied to allocation and assignment problems in which preferences and compatibility influence the resulting relationships. [4]

Within this conceptual setting, the study topic concerning the selection of an after-sales provider for a complex product based on game and matching frameworks represents an interdisciplinary decision-analysis problem. Its relevance lies in the possibility of integrating strategic considerations with structured preference matching, thereby creating a framework for examining provider alternatives under multiple decision constraints.

Research Profile

Mehdi Aghajan Dastjerdi is affiliated with Yıldız Technical University in Turkey. The supplied Scopus record identifies Author ID 60810531100 and lists one document. The profile presently records zero citations and an h-index of zero. These metrics describe the current indexed record and should not be interpreted independently as a comprehensive measure of research quality, originality, or future scholarly influence. [1]

Research Contributions

The research topic, “Selecting after-sales provider of complex product based on game and matching framework,” addresses the methodological challenge of selecting a suitable service provider when multiple participants and preference relationships must be considered. The subject is relevant to operations research, service management, decision science, industrial engineering, and systems-oriented product management.

A game-based component can provide a means of representing strategic interactions among stakeholders. Depending on the formulation, participants may have different objectives, information, preferences, or constraints. Matching mechanisms can then contribute a complementary structure for associating products, customers, service requirements, or providers according to defined compatibility and preference criteria. Stable matching research demonstrates how preference structures can be translated into systematic allocation mechanisms. [4]

  • Integration of strategic decision-making with preference-based provider selection.
  • Application of matching concepts to complex after-sales service relationships.
  • Consideration of multiple decision participants rather than relying solely on single-criterion selection.
  • Development of a structured analytical perspective for complex product service-provider allocation.
  • Potential relevance to decision-support systems in engineering and service-management environments.

Publications

The supplied Scopus profile records one document associated with Mehdi Aghajan Dastjerdi. The research topic identified for this recognition profile concerns the selection of an after-sales provider for a complex product using game and matching frameworks. The available information does not provide sufficient bibliographic details to independently reproduce a complete journal citation, publication year, volume, issue, pages, or DOI; therefore, no unverified bibliographic information is added here. The indexed publication count is reported as supplied in the research profile. [1]

Research Impact

The present bibliometric record is limited, with one indexed document, zero citations, and an h-index of zero. [1] Consequently, quantitative citation indicators should be treated as descriptive rather than as evidence of established scholarly impact. For an early or limited publication record, qualitative assessment of the research question, methodological rigor, originality, applicability, and relevance to a defined academic field can provide additional context.

The research topic has potential interdisciplinary relevance because after-sales provider selection intersects engineering systems, service operations, decision analysis, and mathematical modeling. Matching frameworks have historically been used to study allocation and preference-based relationships, while game-theoretic approaches provide tools for analyzing strategic environments. [2] [3] Such methodological intersections can be useful when complex products require long-term service arrangements involving multiple stakeholders.

Award Suitability

For an Innovative Research Award, the documented research topic may be considered in relation to methodological innovation, interdisciplinary relevance, problem significance, analytical rigor, and potential applicability. The subject of provider selection for complex products combines elements of game theory and matching theory, providing a basis for evaluating how strategic preferences and compatibility can be represented within a structured decision framework.

Award assessment should remain evidence-based and should distinguish between documented achievements and potential future contribution. The current Scopus indicators establish a limited but verifiable indexed publication record, while the research topic provides the principal basis for qualitative consideration. [1]

  • Research originality: assess the distinctiveness of combining game and matching concepts for complex product after-sales provider selection.
  • Methodological quality: examine the mathematical formulation, assumptions, decision variables, and validation procedures used in the research.
  • Academic relevance: consider the contribution to engineering decision analysis, service systems, operations research, and related disciplines.
  • Practical applicability: evaluate whether the framework can support provider-selection decisions in realistic complex-product environments.
  • Future potential: consider opportunities for validation, extension, comparative studies, and broader application.

Conclusion

Mehdi Aghajan Dastjerdi is affiliated with Yıldız Technical University and has a documented Scopus profile containing one indexed document, zero citations, and an h-index of zero. [1] The research topic concerning after-sales provider selection for complex products through game and matching frameworks represents a structured approach to a decision problem involving preferences, compatibility, and strategic interaction.

The topic is academically relevant to interdisciplinary research connecting engineering, decision science, matching theory, game theory, and service management. Established literature demonstrates the value of game-theoretic reasoning for strategic decision problems and matching mechanisms for preference-based allocation. [3] [4] For award evaluation, the research should therefore be considered alongside the underlying methodology, evidence of originality, validation, applicability, and the broader scholarly record.

References

  1. Elsevier. (n.d.). Scopus author details: Mehdi Aghajan Dastjerdi, Author ID 60810531100. Scopus.https://www.scopus.com/authid/detail.uri?authorId=60810531100
  2. Gale, D., & Shapley, L. S. (1962). College admissions and the stability of marriage. The American Mathematical Monthly, 69(1), 9–15.https://doi.org/10.2307/2312726
  3. Nash, J. F. (1950). Equilibrium points in n-person games. Proceedings of the National Academy of Sciences, 36(1), 48–49.https://doi.org/10.1073/pnas.36.1.48
  4. Roth, A. E., & Sotomayor, M. (1990). Two-Sided Matching: A Study in Game-Theoretic Modeling and Analysis. Cambridge University Press.https://doi.org/10.1017/CBO9780511625756