Combining Quality of Life Indicators and AI Simulations for Human-Centric Governance

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dc.abstract.enPurpose Although human-centric governance emphasizes subjective well-being, a structural gap persists between retrospective Quality of Life (QoL) measurement and anticipatory decision-making. This article addresses this gap by asking: how can validated QoL indicators and Large Language Model (LLM)-based simulations be systematically integrated within a coherent governance framework? Design/methodology/approach The study adopts a structured dual-track research design. Study 1 employs a quasi-experimental mixed-methods evaluation of a Norwegian-funded social innovation project using the “Impactometer,” grounded in OECD-aligned subjective well-being scales. Study 2 develops a proof-of-concept LLM-based simulation (Bielik model) applying the Ryff Psychological Well-Being Scale to synthetic professional personas in an organizational policy scenario. The two studies are analytically distinct but conceptually integrated within a governance cycle linking empirical grounding and anticipatory modeling. Findings Study 1 demonstrates an observed increase in life satisfaction (+0.8 points), accompanied by qualitative evidence of enhanced meaning, autonomy, and social connectedness. Study 2 shows that LLM-based simulation can generate differentiated and internally consistent well-being distributions across professional roles. However, simulation results establish plausibility rather than predictive validity and require empirical validation. Originality/value The article advances governance theory by proposing and empirically illustrating a hybrid model that bridges validated well-being measurement with structured AI-based simulation. This integration addresses the temporal mismatch in evidence-based policy and clarifies the methodological and ethical conditions under which AI can complement, rather than replace, human-centered governance.
dc.affiliationWydział Nauk Społecznych w Warszawie
dc.affiliationInstytut Nauk Społecznych
dc.contributor.authorWojtkiewicz, Katarzyna
dc.contributor.authorLyubashenko, Igor
dc.date.access2026-09-14
dc.date.accessioned2026-09-14T06:02:03Z
dc.date.available2026-09-14T06:02:03Z
dc.date.created2026
dc.date.issued2026-09
dc.description.accesstimeat_publication
dc.description.issue1
dc.description.physical160-171
dc.description.sdgNoSDGsAreRelevantForThisPublication
dc.description.versionfinal_published
dc.description.volume62
dc.identifier.doi10.2478/ijcm-2026-0010
dc.identifier.eissn2449-8939
dc.identifier.issn2449-8920
dc.identifier.urihttps://share.swps.edu.pl/handle/swps/2520
dc.identifier.weblinkhttps://reference-global.com/article/10.2478/ijcm-2026-0010
dc.languageen
dc.pbn.affiliationnauki o polityce i administracji
dc.pbn.affiliationnauki o zarządzaniu i jakości
dc.pbn.affiliationnauki prawne
dc.rightsCC-BY
dc.rights.questionYes_rights
dc.share.articleOPEN_JOURNAL
dc.subject.enhuman-centric governance
dc.subject.ensubjective well-being measurement
dc.subject.enanticipatory governance
dc.subject.enlarge language model simulation
dc.subject.enhybrid empirical–simulation framework
dc.swps.sciencecloudsend
dc.titleCombining Quality of Life Indicators and AI Simulations for Human-Centric Governance
dc.title.journalInternational Journal of Contemporary Management
dc.typeJournalArticle
dspace.entity.typeArticle