A. Greco
Please Note
49 records found
1
Reusing for tomorrow
Essential prerequisites for circular and adaptable design in building reuse projects
Supporting organizational decision-making in building adaptation
A scenario-based multi-criteria analysis framework
This study introduces an integrated decision-support framework to aid early-stage planning for building adaptation. It aims to support structured decision-making and priority-setting within organizations by combining scenario development, stakeholder evaluation and AI-enhanced communication.
Design/methodology/approach
The framework integrates cross-impact balance (CIB) analysis, analytic hierarchy process (AHP), Fuzzy-TOPSIS and generative AI techniques for scenario communication and visualization. It was applied within a Paris-based social housing association through participatory workshops with internal stakeholders, including architects, sustainability officers and project managers.
Findings
The integrated framework produced 21 internally consistent scenarios, prioritized them through stakeholder-weighted objectives and identified high-performing adaptation pathways. Results revealed that strong CIB-based scenario filtering substantially conditioned downstream MCDA behaviour, producing relatively robust but convergent ranking outcomes across structurally distinct scenarios. AI-generated narratives and visuals further supported communication of complex trade-offs and exploratory planning within the organizational context.
Research limitations/implications
Application was limited to a single case and stakeholder group. Future research should test the method in broader multi-actor settings, incorporate participant validation and explore automation of CIB construction and weighting to improve scalability and reduce resource demands.
Practical implications
The approach helps decision-makers co-develop and compare building adaptation pathways aligned with organizational goals. Its modular design supports integration into asset management and planning systems.
Originality/value
This is the first study to combine CIB-based scenario planning with MCDA for building adaptation, enhanced with AI-supported scenario communication. Beyond methodological integration, the study contributes new insights into how upstream scenario-space conditioning influences downstream ranking behaviour, evaluative convergence and discriminatory capacity within exploratory decision-support systems. ...
This study introduces an integrated decision-support framework to aid early-stage planning for building adaptation. It aims to support structured decision-making and priority-setting within organizations by combining scenario development, stakeholder evaluation and AI-enhanced communication.
Design/methodology/approach
The framework integrates cross-impact balance (CIB) analysis, analytic hierarchy process (AHP), Fuzzy-TOPSIS and generative AI techniques for scenario communication and visualization. It was applied within a Paris-based social housing association through participatory workshops with internal stakeholders, including architects, sustainability officers and project managers.
Findings
The integrated framework produced 21 internally consistent scenarios, prioritized them through stakeholder-weighted objectives and identified high-performing adaptation pathways. Results revealed that strong CIB-based scenario filtering substantially conditioned downstream MCDA behaviour, producing relatively robust but convergent ranking outcomes across structurally distinct scenarios. AI-generated narratives and visuals further supported communication of complex trade-offs and exploratory planning within the organizational context.
Research limitations/implications
Application was limited to a single case and stakeholder group. Future research should test the method in broader multi-actor settings, incorporate participant validation and explore automation of CIB construction and weighting to improve scalability and reduce resource demands.
Practical implications
The approach helps decision-makers co-develop and compare building adaptation pathways aligned with organizational goals. Its modular design supports integration into asset management and planning systems.
Originality/value
This is the first study to combine CIB-based scenario planning with MCDA for building adaptation, enhanced with AI-supported scenario communication. Beyond methodological integration, the study contributes new insights into how upstream scenario-space conditioning influences downstream ranking behaviour, evaluative convergence and discriminatory capacity within exploratory decision-support systems.
Beyond Experimentation
Temporary Use as a Social Circular Strategy
Methods and Data. This research employs a qualitative analysis, first defining a framework from literature and then analysing specific temporary use projects through a retrospective case analysis of three cases by Plateau Urbain (France), communa (Belgium), and Stad in de Maak (Netherlands). Data collection included interviews, project documentation, and field observations, allowing an in-depth exploration of the enabling conditions for successful hybrid approaches in creating social value.
Findings. This study makes three key contributions. First, it conceptualizes collaborative temporary use as a social circular strategy, clearly defining the evolution of the concept and its potential in temporary real estate adaptive reuse. Second, by drawing on the literature on organizational hybridity and case study analysis, it identifies key enabling conditions, such as tweaking the balance between social value and market logic over time to recalibrate impact—that underpin temporary use projects as social circular economy strategies. Third, it offers a framework to determine whether a temporary real estate reuse initiative can function as a social circular economy strategy.
Theoretical / Practical / Societal implications. This study offers theoretical insights into hybrid organizing for urban development and practical recommendations for integrating temporary reuse of real estate into social circular economy frameworks. Societally, it underscores the potential for collaborative temporary use to foster circular urban transformation by balancing economic goals with community-driven social value creation. ...
Methods and Data. This research employs a qualitative analysis, first defining a framework from literature and then analysing specific temporary use projects through a retrospective case analysis of three cases by Plateau Urbain (France), communa (Belgium), and Stad in de Maak (Netherlands). Data collection included interviews, project documentation, and field observations, allowing an in-depth exploration of the enabling conditions for successful hybrid approaches in creating social value.
Findings. This study makes three key contributions. First, it conceptualizes collaborative temporary use as a social circular strategy, clearly defining the evolution of the concept and its potential in temporary real estate adaptive reuse. Second, by drawing on the literature on organizational hybridity and case study analysis, it identifies key enabling conditions, such as tweaking the balance between social value and market logic over time to recalibrate impact—that underpin temporary use projects as social circular economy strategies. Third, it offers a framework to determine whether a temporary real estate reuse initiative can function as a social circular economy strategy.
Theoretical / Practical / Societal implications. This study offers theoretical insights into hybrid organizing for urban development and practical recommendations for integrating temporary reuse of real estate into social circular economy frameworks. Societally, it underscores the potential for collaborative temporary use to foster circular urban transformation by balancing economic goals with community-driven social value creation.
Making Circular Strategies Work
Advancing an Adaptable Building Framework through Action Design Research
Methods and Data. A mixed-method approach integrates CIB for scenario development, AHP for stakeholder-driven prioritization, and Fuzzy-TOPSIS for ranking reuse scenarios. A hypothetical case study demonstrates the framework’s applicability.
Findings. The integration of CIB, AHP, and Fuzzy-TOPSIS provides a structured decision-making approach that enhances scenario coherence, aligns decisions with stakeholder priorities, and improves scenario ranking robustness. The framework enables systematic exploration of adaptive reuse scenarios, ensuring alignment with stakeholder objectives.
Theoretical / Practical / Societal implications. Theoretically, this study advances scenario-based decision-making by integrating scenario development and decision-making approaches, addressing gaps in adaptive reuse decision frameworks. Practically, it provides policymakers, urban planners, and developers with a structured tool to navigate complex decision-making in adaptive reuse projects. Societally, it supports sustainable and inclusive urban development by fostering consistent, long-term strategies that balance environmental, economic, and social considerations. ...
Methods and Data. A mixed-method approach integrates CIB for scenario development, AHP for stakeholder-driven prioritization, and Fuzzy-TOPSIS for ranking reuse scenarios. A hypothetical case study demonstrates the framework’s applicability.
Findings. The integration of CIB, AHP, and Fuzzy-TOPSIS provides a structured decision-making approach that enhances scenario coherence, aligns decisions with stakeholder priorities, and improves scenario ranking robustness. The framework enables systematic exploration of adaptive reuse scenarios, ensuring alignment with stakeholder objectives.
Theoretical / Practical / Societal implications. Theoretically, this study advances scenario-based decision-making by integrating scenario development and decision-making approaches, addressing gaps in adaptive reuse decision frameworks. Practically, it provides policymakers, urban planners, and developers with a structured tool to navigate complex decision-making in adaptive reuse projects. Societally, it supports sustainable and inclusive urban development by fostering consistent, long-term strategies that balance environmental, economic, and social considerations.
This chapter introduces a paradox perspective on the challenges and conflicting interests hindering the energy transition. A paradox approach acknowledges that these tensions are interconnected and persistent. Compromising can be counterproductive, as ignoring conflicting demands can lead to negative unintended consequences.
The chapter begins by providing an overview of some of the main challenges relevant to achieving energy efficiency in the adaptive reuse of existing buildings. It then introduces the basis of paradox theory and its related approaches. A paradox perspective is relevant for researchers and managers dealing with competing demands, as well as for designers who can leverage paradoxes to identify creative solutions. ...
This chapter introduces a paradox perspective on the challenges and conflicting interests hindering the energy transition. A paradox approach acknowledges that these tensions are interconnected and persistent. Compromising can be counterproductive, as ignoring conflicting demands can lead to negative unintended consequences.
The chapter begins by providing an overview of some of the main challenges relevant to achieving energy efficiency in the adaptive reuse of existing buildings. It then introduces the basis of paradox theory and its related approaches. A paradox perspective is relevant for researchers and managers dealing with competing demands, as well as for designers who can leverage paradoxes to identify creative solutions.
Towards desirable futures for the circular adaptive reuse of buildings
A participatory approach
Sustainable Plus Energy Neighbourhoods - The Way Forward
The SPEN Compass
Accelerating circularity systemically
Three directions for impactful research
What matters when?
An integrative literature review on decision criteria in different stages of the adaptive reuse process
Despite the significant growth of the literature on adaptive reuse, little is known about the specific criteria unfolding throughout the different phases of the adaptive reuse decision-making process. To address this gap this paper aims to provide a comprehensive, state-of-the-art overview of the decision criteria for adaptive reuse throughout the adaptive reuse process. Through an integrative literature review with a systematic search strategy, three phases are substantiated: pre-project phase, preparation phase, and post-completion phase. This paper finds that despite the similarities between the different phases, with a predominant repetition of economic and architectural categories, more specific environmental decision criteria are still overlooked. The findings underscore the necessity for additional research on circularity within the adaptive reuse process, emphasizing the significance of the often overlooked implementation phase, crucial for practices like disassembly. By offering a novel process perspective on AR decision-making, this study contributes to the growing discourse on adaptive reuse and provides a basis for further enhancement of AR decision-making frameworks.
Getting to grips with system innovation
Are we in need of a re-conceptualization?
In this paper, we argue that the conceptualization of ‘systems innovation’ stems from three distinct approaches that have largely remained unconnected: 1) Research and innovation approaches, 2) Systems thinking approaches, and 3) Societal transition approaches. This paper aims to bring conceptual clarity by offering a comprehensive overview of these fields ultimately arriving at a re-conceptualization of systems innovation. While these different fields have largely developed independently, we find that their alignment facilitates a more cohesive and effective re-conceptualization of ‘systems innovation’. ...
In this paper, we argue that the conceptualization of ‘systems innovation’ stems from three distinct approaches that have largely remained unconnected: 1) Research and innovation approaches, 2) Systems thinking approaches, and 3) Societal transition approaches. This paper aims to bring conceptual clarity by offering a comprehensive overview of these fields ultimately arriving at a re-conceptualization of systems innovation. While these different fields have largely developed independently, we find that their alignment facilitates a more cohesive and effective re-conceptualization of ‘systems innovation’.