Innovative Research Award
Jacek Kozyra
Casimir Pulaski Radom University, Poland
Jacek Kozyra of Casimir Pulaski Radom University, Poland, is recognized in the context of the Innovative Research Award for research associated with industrial engineering, decision-support methods, and the selection of after-sales service providers for complex products. His research profile includes 52 indexed documents, 135 citations, and an h-index of 6 according to the supplied Scopus profile information. His work titled “Selecting after sales provider of complex product based on game and matching framework” addresses the methodological challenge of selecting suitable service partners when complex products require coordinated technical, organizational, and relationship-based support.
Abstract
The research associated with “Selecting after sales provider of complex product based on game and matching framework” considers the selection of an after-sales service provider as a structured decision problem involving multiple stakeholders and competing requirements. For complex products, after-sales activities may include maintenance, technical assistance, spare-parts coordination, troubleshooting, lifecycle support, and other specialized services. Provider selection therefore requires more than a simple cost comparison and may benefit from systematic approaches that account for compatibility, strategic interaction, and matching between customer requirements and provider capabilities.
The integration of game-theoretic and matching perspectives provides a framework for examining interactions between participants while identifying potentially suitable provider–customer relationships. Such approaches are relevant to industrial engineering because supplier and service-provider selection commonly involves multiple criteria, uncertainty, and interdependent decisions. The work contributes to the broader discussion of analytical decision support for complex industrial service systems.
Keywords
Keywords: innovative research, after-sales service, complex products, provider selection, industrial engineering, game theory, matching framework, decision support, service management, supplier selection, lifecycle services, industrial systems.
Introduction
After-sales service is an important component of complex-product lifecycle management because the value delivered by an industrial product may depend on continuing technical support, maintenance, availability, and service responsiveness. In such environments, the choice of an after-sales provider can influence operational continuity, service quality, lifecycle cost, and customer satisfaction. Multi-criteria decision-making literature recognizes supplier and provider selection as a structured problem in which quantitative and qualitative factors may need to be evaluated together.[2]
Game theory provides analytical concepts for situations in which the outcome for one participant may depend on the decisions of other participants. Matching theory, meanwhile, offers a framework for studying the formation of mutually suitable relationships between different sets of participants. Their combination can therefore provide a useful conceptual basis for provider-selection problems where customer requirements and provider capabilities must be considered simultaneously.[3]
Research Profile
Jacek Kozyra is affiliated with Casimir Pulaski Radom University in Poland and is associated with the subject area of Industrial Engineering. The supplied research metrics identify 52 documents, 135 citations, and an h-index of 6. These indicators provide a bibliometric snapshot of indexed research activity and should be interpreted within the coverage and updating practices of the relevant bibliographic database.[1]
- Researcher: Jacek Kozyra
- Institution: Casimir Pulaski Radom University
- Country: Poland
- Primary subject: Industrial Engineering
- Scopus documents: 52
- Scopus citations: 135
- h-index: 6
Research Contributions
The study of after-sales provider selection for complex products contributes to industrial engineering research by treating service-provider choice as a decision problem that can involve several interacting dimensions. Rather than viewing selection as a single ranking exercise, the game-and-matching perspective considers the relationships among participants and the compatibility between service needs and provider capabilities.
The principal methodological contribution can be understood through several interconnected elements:
- Formulation of after-sales provider selection as a structured industrial decision problem.
- Application of game-theoretic reasoning to situations involving interdependent participant decisions.
- Use of matching concepts to examine compatibility between service requirements and provider capabilities.
- Support for more systematic evaluation of provider alternatives in complex-product environments.
- Integration of analytical decision support with practical service-management considerations.
The approach is consistent with broader research on decision-making and operations management, where analytical frameworks are used to improve the transparency and consistency of complex selection processes.[2]
Publications
The supplied publication information identifies the following research contribution as particularly relevant to the present recognition profile:
- Jacek Kozyra. “Selecting after sales provider of complex product based on game and matching framework.” Research concerning analytical selection of after-sales providers for complex products.
The complete publication record should be consulted through the researcher’s indexed profile for authoritative bibliographic details, publication years, co-authors, citation counts, and persistent identifiers. The Scopus author record is available through the external profile listed below.[1]
Research Impact
Research on after-sales provider selection has practical relevance for organizations managing complex products because service decisions can affect lifecycle performance, operational continuity, maintenance arrangements, and customer relationships. A structured provider-selection framework may help organizations compare alternatives according to defined requirements rather than relying exclusively on isolated cost or performance indicators.
From an academic perspective, the integration of game-theoretic and matching concepts connects decision analysis with service and industrial systems research. Game theory is widely used to analyze strategic interaction, while matching frameworks provide formal tools for studying compatibility and allocation among participants.[3] Such interdisciplinary positioning is relevant to contemporary industrial engineering, particularly where technical systems increasingly depend on coordinated service networks.
Award Suitability
The research profile is relevant to the Innovative Research Award because the identified work addresses a complex industrial decision problem through a framework combining game-theoretic and matching perspectives. The topic demonstrates methodological relevance to industrial engineering and decision-support research while addressing a practical challenge in the management of after-sales services for complex products.
Based on the supplied information, the following aspects support consideration within an innovation-oriented research category:
- Research relevance: Direct connection with industrial engineering and complex-product service management.
- Methodological innovation: Combination of game and matching concepts for provider-selection analysis.
- Practical applicability: Potential usefulness for organizations selecting and managing after-sales service providers.
- Interdisciplinary perspective: Connection of decision theory, service management, operations, and industrial engineering.
- Research visibility: The supplied Scopus profile records 52 documents and 135 citations.
Award consideration should ultimately be based on the applicable evaluation criteria, supporting evidence, originality, scholarly quality, and independent assessment by the relevant award committee.
Conclusion
Jacek Kozyra’s research profile at Casimir Pulaski Radom University reflects work in Industrial Engineering with a focus on analytical approaches to complex decision problems. The research concerning the selection of after-sales providers through a game and matching framework addresses an important intersection of industrial service management, decision support, and strategic interaction.
The combination of provider compatibility and strategic decision analysis offers a relevant perspective for complex-product service environments. With the supplied bibliometric profile of 52 documents, 135 citations, and an h-index of 6, the researcher has an identifiable indexed research record. The profile is therefore suitable for consideration within an academic recognition framework emphasizing methodological contribution and applied industrial research.
External Links
References
- Elsevier. (n.d.). Scopus author details: Jacek Kozyra, Author ID 57192208823. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57192208823
- Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83–98.https://doi.org/10.1504/IJSSCI.2008.017590
- Roth, A. E. (1984). The evolution of the labor market for medical interns and residents: A case study in game theory. Journal of Political Economy, 92(6), 991–1016.https://doi.org/10.1086/261272
- ORCID. (n.d.). Jacek Kozyra — ORCID record. ORCID.https://orcid.org/0000-0002-6660-6713
- International Academic Achievements & Awards. (n.d.). Academic recognition and award information.https://academicachievements.org