From Individual Candidate Suitability to Expert Panel Composition in Complex Systems Reengineering

Authors

DOI:

https://doi.org/10.15407/intechsys.2026.04.054

Keywords:

candidate suitability, expert panel, panel composition, expert selection, complex systems reengineering, requirements specification, expert evaluation, decision support systems

Abstract

Expert group composition significantly affects the validity and reliability of decisions in complex systems reengineering. Existing expert evaluation methods mainly address the elicitation, reconciliation, and aggregation of judgments, while expert-finding approaches typically focus on assessing individual candidate suitability. This study distinguishes candidate suitability assessment from subsequent expert group selection and examines their relationship. A formal problem statement is proposed in which an expert group is selected from an available candidate pool according to the target domain, required functional roles and competencies, as well as institutional, independence, and conflict-of-interest constraints. The proposed formulation provides a methodological basis for developing intelligent expert selection systems for complex systems reengineering.

References

Manganelli R.L., Klein M.M. The Reengineering Handbook: A Step-by-Step Guide to Business Transformation. AMACOM, New York, 1994, 318 p.

Davenport T.H. Process Innovation: Reengineering Work through Information Technology. Harvard Business School Press, Boston, 1993, 337 p.

May D., Kettelhut M.C. Managing human issues in reengineering projects. Journal of Systems Management, 1996, Vol. 47 (1), 411.

Guha S., Kettinger W.J., Teng J.T.C. Business process reengineering: Building a comprehensive methodology. Information Systems Management, 1993, Vol. 10 (3), 1322. https://doi.org/10.1080/10580539308906939

Davenport T.H., Short J.E. The new industrial engineering: Information technology and business process redesign. Sloan Management Review, 1990, Vol. 31 (4), 1127.

Reijers H.A., Mansar S.L. Best practices in business process redesign: An overview and qualitative evaluation of successful redesign heuristics. Omega, 2005, Vol. 33 (4), 283–306. https://doi.org/10.1016/j.omega.2004.04.012.

Hammer M., Champy J. Reengineering the Corporation: A Manifesto for Business Revolution. Zondervan, Grand Rapids, 2009, 272 p.

vom Brocke J., Mendling J. (eds.). Business Process Management Cases: Digital Innovation and Business Transformation in Practice. Springer, Cham, 2018, 610 p. https://doi.org/10.1007/978-3-319-58307-5

van der Aalst W.M.P. Process mining: A 360 degree overview. In: van der Aalst W.M.P., Carmona J. (eds.). Process Mining Handbook. Lecture Notes in Business Information Processing, Vol. 448. Springer, Cham, 2022, 3–34. https://doi.org/10.1007/978-3-031-08848-3_1

Perederyi V., Borchik E., Zosimov V., Bulgakova O. Functional stability assessment and adaptation for critical infrastructure facilities. Frontiers in Artificial Intelligence, 2026, Vol. 9, Article 1777258. https://doi.org/10.3389/frai.2026.1777258

ISO/IEC/IEEE 15288:2023. Systems and Software Engineering – System Life Cycle Processes. 2nd ed. International Organization for Standardization, Geneva, 2023, 116 p. https://doi.org/10.1109/IEEESTD.2023.10123367

International Council on Systems Engineering. Systems Engineering Handbook: A Guide for System Life Cycle Processes and Activities. 5th ed. John Wiley & Sons, Hoboken, 2023, 368 p.

Aksoy M., Yanik S., Amasyali M.F. Reviewer assignment problem: A systematic review of the literature. ArXiv, 2023, arXiv:2304.00353. https://doi.org/10.48550/arXiv.2304.00353

Nasa P., Jain R., Juneja D. Delphi methodology in healthcare research: How to decide its appropriateness. World Journal of Methodology, 2021, Vol. 11 (4), 116129. https://doi.org/10.5662/wjm.v11.i4.116

Canco I., Kruja D., Iancu T. AHP, a reliable method for quality decision making: A case study in business. Sustainability, 2021, Vol. 13 (24), Article 13932. https://doi.org/10.3390/su132413932

Williams C.J., Wilson K.J., Wilson N. A comparison of prior elicitation aggregation using the Classical Method and SHELF. Journal of the Royal Statistical Society Series A: Statistics in Society, 2021, Vol. 184 (3), 920–940. https://doi.org/10.1111/rssa.12691

Cooke R.M., Goossens L.H.J. Procedures Guide for Structured Expert Judgement. Project Report EUR 18820. European Communities, Luxembourg, 2000, 55 p.

Lin S., Hong W., Wang D., Li T. A survey on expert finding techniques. Journal of Intelligent Information Systems, 2017, Vol. 49 (2), 255279. https://doi.org/10.1007/s10844-016-0440-5

Zosimov V.V., Bulgakova O.S. Web data displaying approach based on user’s semantic profile templates. 2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT), Zbarazh, Ukraine, 2020, 428431. https://doi.org/10.1109/CSIT49958.2020.9321839

Osypenko V., Korohod H., Zlotenko B., Chuprynka N., Yakhno V. Synthesis of expert matrices in inductive system-analytical research based on fuzzy logic algorithm. Eastern-European Journal of Enterprise Technologies, 2024, Vol. 4, No. 4 (130), 5462. https://doi.org/10.15587/1729-4061.2024.310326

Aitymbetov N., Zorbas D. Autonomous machine learning-based peer reviewer selection system. The 31st International Conference on Computational Linguistics: System Demonstrations, Abu Dhabi, UAE, 2025, 199–207. URL: https://aclanthology.org/2025.coling-demos.20/ [Accessed 11 May. 2026]

Karan V.M., McQuistin S., Yanagida R., Perkins C., Tyson G., Castro I., Healey P.G.T., Purver M. A dataset for expert reviewer recommendation with large language models as zero-shot rankers. The 31st International Conference on Computational Linguistics, Abu Dhabi, UAE, 2025, 11422–11427. URL: https://aclanthology.org/2025.coling-main.756/ [Accessed 11 May. 2026]

Downloads

Published

2026-10-23

How to Cite

Bulgakova, O. (2026). From Individual Candidate Suitability to Expert Panel Composition in Complex Systems Reengineering. Information Technologies and Systems, 10(4), 54–67. https://doi.org/10.15407/intechsys.2026.04.054

Issue

Section

Intellectual Information Technologies