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Jamil Akhtar | Best Researcher Award | Social Sciences

Published on 08/09/202608/09/2026 by Academic Achievements

Best Researcher Award

Jamil Akhtar
University of the Punjab, Pakistan

Jamil Akhtar
Affiliation University of the Punjab
Country Pakistan
Scopus ID 58714814500
Documents 15
Citations 92
h-index 7
Subject Area Social Sciences
Event International Academic Achievements & Awards
ORCID 0000-0001-9884-4348

Jamil Akhtar is a researcher affiliated with the University of the Punjab whose indexed research record is associated with the Social Sciences. The research topic considered on this page, Selecting After-Sales Providers of Complex Products Based on Game and Matching Frameworks, concerns the analytical selection of service providers for complex products and systems. After-sales services can influence product support, customer relationships, lifecycle value, and the coordination of manufacturers and external service providers. Research on industrial service systems has emphasized the strategic importance of aftermarket activities and service-oriented business models. [1] [2]

Contents
  1. Abstract
  2. Keywords
  3. Introduction
  4. Research Profile
  5. Research Contributions
  6. Publications
  7. Research Impact
  8. Award Suitability
  9. Conclusion
  10. External Links
  11. References

Abstract

The selection of an appropriate after-sales service provider is a multidimensional decision for organizations managing complex products. Such products frequently require specialized technical knowledge, responsive maintenance, reliable spare-parts support, information sharing, and long-term coordination between customers, manufacturers, and service organizations. A game-theoretic perspective can represent strategic interactions among decision-makers, while matching approaches can support the systematic alignment of product requirements with provider capabilities. The combined framework can therefore be viewed as a decision-support approach for evaluating provider compatibility, strategic behavior, service quality, cost, responsiveness, and relationship requirements. After-sales management research recognizes the importance of integrating service activities with broader product and lifecycle strategies. [1] The proposed research direction is consequently relevant to operations management, service management, industrial marketing, decision sciences, and social-science research on interorganizational relationships.

Keywords

Keywords: after-sales service; complex products; service-provider selection; game theory; matching framework; provider capability; service quality; strategic interaction; lifecycle management; decision support; industrial services; supplier relationships.

Introduction

After-sales services encompass activities undertaken after the sale of a product, including maintenance, repair, technical assistance, spare-parts provision, upgrades, warranties, and related customer-support functions. For complex products, these activities may require substantial coordination because the product’s performance depends not only on the original equipment but also on specialized service capabilities. Scholarly work on product-service systems has identified the increasing importance of service activities in manufacturing and industrial value creation. [2] [3]

Provider selection becomes more challenging when multiple stakeholders have different objectives. A manufacturer may prioritize technical compatibility and reputation, whereas customers may emphasize response time, reliability, total cost, and service accessibility. Providers may simultaneously compete and cooperate within the same service ecosystem. Game theory provides tools for analyzing such strategic interactions, while matching theory addresses the formation of compatible relationships between two or more groups of participants under specified preferences and constraints. [4] [5]

A combined game-and-matching perspective can therefore provide a structured basis for studying after-sales provider selection. Instead of treating provider selection solely as a ranking problem, the framework can account for the preferences, incentives, capabilities, and strategic responses of the participants involved in the service relationship.

Research Profile

The available researcher information identifies Jamil Akhtar with the University of the Punjab and the Social Sciences subject area. The supplied bibliometric record reports 15 documents, 92 citations, and an h-index of 7 under Scopus Author ID 58714814500. These indicators describe the supplied indexed record and should be interpreted according to the coverage, update cycle, and attribution practices of the relevant database.

The research theme addressed in this article lies at the intersection of service management, operations research, strategic decision-making, and interorganizational relationships. Its interdisciplinary character is consistent with research questions in which economic incentives and organizational preferences must be considered together with technical service requirements.

Research Contributions

The research topic can contribute to the literature by connecting provider-selection decisions with strategic and relational considerations. Traditional supplier-selection models frequently focus on criteria such as cost, quality, delivery, and capacity. In after-sales environments, however, provider compatibility may also depend on service knowledge, technical specialization, geographic reach, response capability, communication quality, and the ability to sustain long-term relationships.

A game-based component can examine how providers and other actors respond to alternative contractual arrangements, service requirements, or competitive conditions. Matching mechanisms can then be used to represent the compatibility between provider attributes and the requirements of products or customers. Matching theory has a substantial foundation in economics and has also been applied to allocation and market-design problems. [5]

  • Integrates strategic interaction into after-sales provider selection.
  • Provides a structured approach for matching service requirements with provider capabilities.
  • Supports consideration of multiple decision criteria rather than cost alone.
  • Creates a conceptual bridge between service management, game theory, and matching-based decision analysis.
  • Offers a basis for future empirical testing using real-world service-provider and customer data.

The framework is particularly relevant to complex-product industries where service failure can impose substantial operational consequences and where the relationship between the manufacturer, customer, and external provider may extend over a considerable product lifecycle.

Publications

The supplied bibliometric information records 15 documents for the Scopus author profile associated with Jamil Akhtar. The complete publication list, publication years, journal titles, co-authors, citation counts, and document-level identifiers should be verified directly against the current Scopus record before being reproduced as a definitive bibliography.

The research theme represented here is positioned within an established body of literature concerning after-sales service, product-service systems, supplier relationships, service operations, strategic interaction, and matching mechanisms. Relevant scholarly foundations include research on industrial service strategies and product-service systems. [1] [2] [3]

Research Impact

Research on after-sales provider selection has potential relevance for organizations that manage complex products and depend on external or specialized service providers. A decision framework that incorporates strategic behavior and matching requirements can help decision-makers move beyond simple provider rankings and examine whether a proposed provider is compatible with the operational and relational requirements of a particular product or customer.

From an academic perspective, the topic connects several established areas of research. Service management provides the context for understanding lifecycle support, operations research contributes analytical decision methods, game theory addresses strategic behavior, and matching theory provides mechanisms for evaluating compatibility among participants. Such integration can support interdisciplinary research and provide opportunities for further empirical validation.

The reported citation and h-index figures indicate that the supplied Scopus record has received scholarly citations. Bibliometric indicators should nevertheless be considered alongside research quality, methodological rigor, originality, relevance, and documented contributions rather than being treated as standalone measures of academic merit.

Award Suitability

The profile can be considered for evaluation under a Best Researcher Award when the award assessment is based on documented scholarly contributions, research relevance, publication record, citation evidence, methodological quality, and broader academic contribution. The topic of selecting after-sales providers for complex products demonstrates a research problem with interdisciplinary relevance and an identifiable connection to decision-making in service systems.

A formal award evaluation should independently verify the applicant’s publications, authorship, institutional affiliation, bibliometric indicators, research outputs, and supporting evidence. The following criteria provide a neutral framework for assessment:

  1. Originality: Assess the novelty of the proposed integration of game-theoretic and matching perspectives.
  2. Methodological rigor: Examine the appropriateness, transparency, and reproducibility of the analytical framework.
  3. Academic relevance: Consider the contribution to social sciences, service management, operations, and strategic decision research.
  4. Publication quality: Review the quality and relevance of peer-reviewed publications and other scholarly outputs.
  5. Research impact: Consider citations, scholarly uptake, practical relevance, and demonstrated influence where verifiable.
  6. Interdisciplinary contribution: Evaluate the ability of the research to connect complementary theoretical and methodological perspectives.

The supplied record of 15 documents, 92 citations, and an h-index of 7 may form part of a broader evidence package, but these indicators should be verified against the current authoritative database record before an award decision is made.

Conclusion

The research theme Selecting After-Sales Providers of Complex Products Based on Game and Matching Frameworks addresses an important decision problem at the intersection of after-sales service management, strategic interaction, and matching-based allocation. By considering both provider capabilities and the strategic relationships among stakeholders, such a framework can offer a more comprehensive perspective on service-provider selection than criteria based exclusively on price or operational performance.

Jamil Akhtar’s supplied academic profile, affiliation with the University of the Punjab, and reported Scopus-indexed record provide a basis for scholarly recognition assessment. Any formal Best Researcher Award determination should remain evidence-based and should consider verified publications, methodological contributions, citations, research significance, and independently documented academic impact.

External Links

  • ORCID Profile: https://orcid.org/0000-0001-9884-4348
  • Scopus Author Profile: https://www.scopus.com/authid/detail.uri?authorId=58714814500
  • Award Website: https://academicachievements.org

References

  1. Gaiardelli, P., Saccani, N., & Songini, L. (2007). The role of corporate after-sales services in industrial product-service systems. International Journal of Production Economics, 107(1), 41–54.https://doi.org/10.1016/j.ijpe.2006.09.008
  2. Oliva, R., & Kallenberg, R. (2003). Managing the transition from products to services. International Journal of Service Industry Management, 14(2), 160–172.https://doi.org/10.1108/09564230310474138
  3. Baines, T. S., Lightfoot, H. W., Benedettini, O., & Kay, J. M. (2009). The servitization of manufacturing: A review of literature and reflection on future challenges. Journal of Manufacturing Technology Management, 20(5), 547–567.https://doi.org/10.1108/17410380910960984
  4. Nash, J. F. (1951). Non-cooperative games. The Annals of Mathematics, 54(2), 286–295.https://doi.org/10.2307/1969529
  5. Elsevier. (n.d.). Scopus author details: Jamil Akhtar, Author ID 58714814500. Scopus.https://www.scopus.com/authid/detail.uri?authorId=58714814500
  6. ORCID. (n.d.). Jamil Akhtar — ORCID record 0000-0001-9884-4348. ORCID.https://orcid.org/0000-0001-9884-4348
Posted in: BiographyTagged: Best Social Sciences Award, Excellence in Social Sciences Award, Global Social Sciences Research Award, international social sciences award, Outstanding Social Sciences Award, Social Science Researcher Award, Social Sciences Academic Achievement Award, Social Sciences Academic Award, Social Sciences Academic Distinction Award, Social Sciences Academic Excellence Award, Social Sciences Academic Honor Award, Social Sciences Academic Recognition Award, Social Sciences Achievement Award, Social Sciences Award, Social Sciences Community Impact Award, Social Sciences Distinguished Researcher Award, Social Sciences Distinguished Scholar Award, Social Sciences Emerging Researcher Award, Social Sciences Excellence Recognition, Social Sciences Global Research Award, Social Sciences Global Scholar Award, Social Sciences Impact Award, Social Sciences Innovation Award, Social Sciences Innovation Research Award, Social Sciences International Award, Social Sciences Knowledge Award, Social Sciences Leadership Award, Social Sciences Lifetime Achievement Award, Social Sciences Outstanding Academic Award, Social Sciences Outstanding Researcher Award, Social Sciences Research Achievement Award, Social Sciences Research Achievement Recognition, Social Sciences Research Award, Social Sciences Research Contribution, Social Sciences Research Contribution Award, Social Sciences Research Distinction Award, Social Sciences Research Excellence Award, Social Sciences Research Excellence Recognition, Social Sciences Research Honor, Social Sciences Research Honor Award, Social Sciences Research Impact Award, Social Sciences Research Innovation Award, Social Sciences Research Leadership Award, Social Sciences Researcher Excellence Award, Social Sciences Researcher Recognition, Social Sciences Scholar Award, Social Sciences Scholar Recognition, Social Sciences Scholarly Excellence Award, Social Sciences Young Researcher Award

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