A Method for Evaluating Human Resource Value at the Task Level: Integrating Hard and Soft Skills in Intelligent Decision Systems.
The article proposes a method for assessing the value of human resources at the level of an individual production or project task, based on integrating hard and soft skills indicators into a single intellectual system to support management decisions. Unlike traditional approaches based on static per...
| Publicado en: | Systems Research & Behavioral Science Vol. 43; no. 4; pp. 1456 - 1471 |
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| Autores principales: | , , , , , , , |
| Formato: | Artículo |
| Publicado: |
Wiley-Blackwell
Jul/Aug2026
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=195176517&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 195176517 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10927026 2SN jtl: Systems Research & Behavioral Science issn: 10927026 maglogo: Y pubinfo: dt: Jul/Aug2026 vid: 43 iid: 4 pid: 480 pub: Wiley-Blackwell artinfo: ui: 195176517 10.1002/sres.70043 ppf: 1456 ppct: 15 formats: tig: atl: A Method for Evaluating Human Resource Value at the Task Level: Integrating Hard and Soft Skills in Intelligent Decision Systems. aug: au: Onyshchenko, Svitlana Melnyk, Oleksiy Onishchenko, Oleg Prabowo, Aditya Rio Medvešek, Ivana Golub Kuznichenko, Sergiy Kravchenko, Oleksandra Vorokhobina, Diana affil: Fleet Operation and Shipping Technology Department, Odesa National Maritime University, Odesa, Ukraine Department of Navigation and Maritime Safety, Odesa National Maritime University, Odesa, Ukraine Ship Handling Department, National University 'Odesa Maritime Academy', Odesa, Ukraine Department of Mechanical Engineering, Universitas Sebelas Maret, Surakarta, Indonesia Faculty of Maritime Studies, University of Split, Split, Croatia Scientific and Research Institute of Providing Legal Framework for the Innovative Development of National Academy of Legal Sciences of Ukraine, Kharkiv, Ukraine Ship Handling Department, National University 'Odessa Maritime Academy', Odesa, Ukraine su: Personnel management Task performance Decision making Quantitative research Uncertainty Decision support systems Management information systems Data analysis Descriptive statistics Chi-squared test Experimental design Statistics Delphi method Professional competence sug: subj: Personnel management Task performance Decision making Quantitative research Uncertainty Human Resources Consulting Services Administration of Human Resource Programs (except Education, Public Health, and Veterans' Affairs Programs) Decision support systems Management information systems Data analysis Descriptive statistics Chi-squared test Experimental design Statistics Delphi method Professional competence keyword: adaptive HR analytics decision support systems digital HR platforms fuzzy logic human reliability human resource value human–AI interaction multicriteria evaluation project‐oriented organizations task‐level performance assessment adaptive HR analytics decision support systems digital HR platforms fuzzy logic human reliability human resource value human–AI interaction multicriteria evaluation project‐oriented organizations task‐level performance assessment ab: The article proposes a method for assessing the value of human resources at the level of an individual production or project task, based on integrating hard and soft skills indicators into a single intellectual system to support management decisions. Unlike traditional approaches based on static personnel parameters, the developed model combines elements of multicriteria analysis, fuzzy logic theory and weighting coefficients for quantitative assessment of personnel competencies in conditions of uncertainty. The Human Resource Value Index is proposed to determine an employee's integral value for a specific task, taking into account the requirements of the work process and the dynamics of changes in employee characteristics. Experimental modelling has been conducted, confirming the methodology's ability to differentiate personnel decisions based on the priority of hard and soft skills, as well as to respond appropriately to changes in input data. The results of the work demonstrate the feasibility of using the model in digital HR analytics platforms and DSS for adaptive personnel management in project‐oriented structures, particularly in maritime logistics. The scientific novelty lies in the development of a formalized mechanism for measuring employee value in real time, ensuring greater accuracy and objectivity in personnel decisions within complex socio‐technical systems. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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