Functional Typology Formation in Industrial Heritage Adaptive Reuse: A Multi-Case Configurational Analysis Based on the TOE Framework

The adaptive reuse of industrial heritage produces diverse functional outcomes, yet how multiple conditions combine to shape these outcomes remains unclear. This study adapts the technology–organization–environment (TOE) framework to industrial heritage reuse and applies crisp-set qualitative comparative analysis (csQCA) to 58 projects. The analysis examines convertibility, digital technology adoption, ultimate controller, value factor, policy environment, and locational environment as conditions for cultural, commercial, and public-service functional outcomes. No single condition was necessary across all three outcomes; sufficiency analysis identified five cultural, four commercial, and four public-service configurational paths. Cultural outcomes showed diverse configurational paths, commercial outcomes centered on relatively stable market-oriented conditions, and all public-service paths shared a nonprofit ultimate controller as a core condition. Across the analyzed cases, the formation of functional types exhibited multi-condition conjunction and equifinality, with condition roles varying across configurations and outcomes. Robustness checks showed that the dominant configurations remained relatively stable under the tested thresholds, whereas supplementary configurations were more sensitive to the case-frequency cutoff. The findings indicate that the TOE framework can be contextually translated to the setting of industrial heritage adaptive reuse and used for configurational comparisons across the three functional outcomes.

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Journal
Buildings
Published
2026-09-09
DOI
https://doi.org/10.3390/buildings16183586
Primary Topic
Cultural Heritage Management and Preservation
Type
article
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Functional Typology Formation in Industrial Heritage Adaptive Reuse: A Multi-Case Configurational Analysis Based on the TOE Framework

Xuanhao Zhou, Yue Chang
Buildings
Cultural Heritage Management and Preservation
article

Functional Typology Formation in Industrial Heritage Adaptive Reuse: A Multi-Case Configurational Analysis Based on the TOE Framework

Xuanhao Zhou, Yue Chang
article en

Abstract

The adaptive reuse of industrial heritage produces diverse functional outcomes, yet how multiple conditions combine to shape these outcomes remains unclear. This study adapts the technology–organization–environment (TOE) framework to industrial heritage reuse and applies crisp-set qualitative comparative analysis (csQCA) to 58 projects. The analysis examines convertibility, digital technology adoption, ultimate controller, value factor, policy environment, and locational environment as conditions for cultural, commercial, and public-service functional outcomes. No single condition was necessary across all three outcomes; sufficiency analysis identified five cultural, four commercial, and four public-service configurational paths. Cultural outcomes showed diverse configurational paths, commercial outcomes centered on relatively stable market-oriented conditions, and all public-service paths shared a nonprofit ultimate controller as a core condition. Across the analyzed cases, the formation of functional types exhibited multi-condition conjunction and equifinality, with condition roles varying across configurations and outcomes. Robustness checks showed that the dominant configurations remained relatively stable under the tested thresholds, whereas supplementary configurations were more sensitive to the case-frequency cutoff. The findings indicate that the TOE framework can be contextually translated to the setting of industrial heritage adaptive reuse and used for configurational comparisons across the three functional outcomes.

BuildingsVol. 16(18)
Jilin Jianzhu University (CN)
Sustainable cities and communities
Openalex Percentile: Top 3%
Cultural Heritage Management and Preservation
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Functional Typology Formation in Industrial Heritage Adaptive Reuse: A Multi-Case Configurational Analysis Based on the TOE Framework — Xuanhao Zhou, Yue Chang · Buildings (2026) | TGRS Research Map | TGRS