Submitted:
03 December 2025
Posted:
03 December 2025
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Abstract
Keywords:
1. Introduction
2. Conceptual Background: Housing Retrofits as Complex Micro-Projects
2.1. The Concept of Complexity
- Unpredictability – outputs cannot be linearly derived from inputs.
- Non-linearity – small changes can produce disproportionate effects.
- Emergence – challenges and requirements shift over time [13].
2.2. Static and Dynamic Complexity
2.3. Complexity in Housing Retrofit Projects
2.4. Complexity, Delivery, and CO2 Outcomes
2.5. Research Gap and Contribution
- An interdisciplinary lens was adopted to link engineering and social theory to assess sustainable thermal retrofit policy [27]. They highlight neglected issues such as health, affordability, and heritage.
- A systematic review of “green retrofitting” was conducted to identify critical success factors (CSFs) and barriers, including unreliable technologies and material shortages [28].
- Chinese policies promoting building green retrofit were examined, and they identified barriers related to finance, awareness, and technical capacity [29].
3. Methods: Integrative Review with PRISMA-Style Transparency
3.1. Rationale for the Integrative Review
3.2. Review Protocol
3.3. Search Strategy
3.4. Inclusion and Exclusion Criteria
- addressed housing retrofit projects with explicit discussion of management, organisation, or delivery.
- provided empirical or conceptual insights relevant to the Owner, Supplier, or Delivery domains.
- were published in peer-reviewed journals or as authoritative reports between 2005 and 2022.
- were written in English and focused on housing (not commercial or industrial buildings).
- We excluded studies that:
- focused solely on technical or engineering aspects without organisational or management analysis.
- addressed new-build projects rather than retrofit.
- were purely policy commentaries without methodological transparency.
3.5. Data Extraction and Synthesis
- bibliographic information (title, author, year, journal, DOI).
- research focus and methods.
- housing type and country context.
- key findings on barriers, drivers, and delivery processes.
- Owner Domain – including owner-occupiers, social landlords, and private landlords.
- Supplier Domain – covering manufacturers, merchants, contractors, and installers.
- Delivery Domain – focusing on project execution and integration.
3.6. Iterative Thematic Synthesis
3.7. Synthesis and Interpretation
- recurring barriers and drivers across domains.
- cross-domain interdependencies shaping project outcomes.
- implications for energy and potential CO2 performance.
4. Results: Evidence Across the Three Domains
4.1. Overview of the Evidence Base
4.2. Owner Domain
4.2.1. Owner-Occupiers
4.2.2. Social Landlords
4.2.3. Private Landlords
4.3. Supplier Domain
4.3.1. Intermediary Role and Market Maturity
4.3.2. Knowledge and Capability Gaps
4.3.3. Conservatism and Resistance
4.3.4. Supplier–Owner Relationship
4.4. Delivery Domain
4.4.1. Uncertainty and Risk
4.4.2. Occupant Interactions
4.4.3. Performance Verification
4.4.4. Managerial Capabilities
4.5. Key insights Across Domains
4.6. Summary of Common Challenges
- Fragmented project management – retrofits lack integrated delivery models linking design, installation, and verification.
- Trust and communication deficits – low confidence between owners and suppliers undermines uptake and satisfaction.
- Performance uncertainty – the energy performance gap remains pervasive due to dynamic complexity.
- Socio-technical misalignment – technical measures often conflict with occupant preferences or use patterns.
4.7. Implications for Carbon Outcomes and Delivery Practice
5. Framework and Discussion: Mapping Complexity, Delivery, and Whole-Life CO2
5.1. Linking Project Complexity to CO2 Performance
5.2. The three-Domain Interaction Model
6. Implications and Future Research
6.1. Managerial and Policy Implications
- Adopt complexity-aware management practices.
- 2.
- Strengthen quality assurance and verification.
- 3.
- Professionalise the micro-enterprise supply chain.
- 4.
- Encourage owner engagement and trust.
- 5.
- Integrate retrofit policy with carbon accounting.
6.2. Theoretical Implications
6.3. Research Agenda
- Quantification of management-carbon linkages.
- 2.
- Comparative analysis across regions.
- 3.
- Integration with digital technologies.
7. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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| Complicatedness (Static Complexity) | Complexity (Dynamic Complexity) |
|---|---|
| Tangible, countable, predictable elements of a project | Unpredictable, nonlinear, interdependent relationships |
| Challenges known; outcomes generally predictable with expertise | Uncertain interactions lead to unforeseen outcomes |
| Managed by detailed planning and control | Managed by adaptability, learning, and communication |
| Example: constructing a standard house | Example: retrofitting occupied dwellings with variable needs |
| Database | Fields searched | Core Keywords and Boolean Strings | Time Horizon | Language |
|---|---|---|---|---|
| Google Scholar, Web of Science, ScienceDirect, Scopus | Title and Abstract | “housing retrofit” OR “energy renovation” OR “building refurbishment” OR “residential retrofit”) AND (“project management” OR “construction management” OR “delivery” OR “supply chain” OR “stakeholder”) | 2005–2022 | English |
| Domains | Reference | Number of Articles | |
|---|---|---|---|
| Owner Domain | Owner-occupier | Tjørring and Gausset(2019) [24]; Ambrose & McCarthy(2019) [25]; Sunikka-Blank & Galvin(2012) [26]; Liu et al. (2020) [29]; Risholt and Berker(2013) [38]; Galvin(2014) [39]; Kuusk & Kalamees (2015) [40]; Wilkinson et al.(2015) [41]; Buser & Carlsson(2017) [42]; Collins & Curtis (2017) [43]; Cauvain & Karvonen(2018) [44]; Hope et al.(2018) [45]; Matosović & Tomšić (2018) [46]; Trotta (2018) [47]; Wilson et al.(2018) [48]; Bravo et al.(2019) [49]; Liang et al.(2019) [50]; Broers et al.(2019) [51]; Zheng et al.(2019) [52]; Butt et al.(2020) [53]; Jia et al.(2021) [54]; Azcarate-Aguerre et al.(2022) [55]; D'Angelo et al.(2022) [56]; Jowkar et al.(2022) [57]; de Wilde(2019) [58]; | 25 |
| Social landlord | Cauvain & Karvonen (2018) [44]; Trotta (2018) [47]; Swan et al. (2013) [59]; Meehan & Bryde (2015) [60]; Grandclément et al. (2015) [61]; Monteiro et al. (2017) [62]; Weber & Wolff (2018) [63]; Lambrechts et al. (2021) [64]. | 8 | |
| Private landlord | Trotta (2018) [47]; Weber & Wolff (2018) [63]; Ástmarsson et al. (2013) [65]; Lee et al. (2015) [66]; März (2018) [67]; Miu & Hawkes (2020) [68]; Malinowski et al. (2020) [69]. | 7 | |
| Supplier Domain | Killip et al. (2020) [5]; Owen et al. (2014) [21]; Berghorn & Syal (2016) [70]; Wade et al. (2016) [71]; Clarke et al. (2017) [72]; Hrovatin & Zorić (2018) [73]; Wade et al. (2018) [74]; Pallesen and Jacobsen (2018) [75]; Murto et al. (2019) [76]; Simpson et al. (2020) [77]; Murtagh et al. (2021) [78]; Simpson et al. (2021) [79]; Zaunbrecher et al. (2021) [80]. | 13 | |
| Delivery Domain | Killip (2013) [20]; Owen et al. (2014) [21]; Bryde and Schulmeister (2012) [81]; Rovers (2014) [82]; Alam et al. (2019) [83]; Lowe and Chiu (2020) [84]; Brocklehurst et al. (2021) [85]; Sandberg et al. (2021) [86]; Dauda & Ajayi (2022) [87]. | 9 | |
| Domain | Core Complexity Drivers | Mechanisms Affecting CO2 Performance |
|---|---|---|
| Owner | Decision uncertainty; aesthetic vs. energy priorities; limited knowledge; trust deficits | Determines project scope and retrofit depth; behavioural rebound reduces realised savings |
| Supplier | Predominantly small and micro-enterprises with limited integration across the supply chain; weak training systems; conservative, risk-averse practices | Affects installation quality, commissioning accuracy, and the durability of CO2 benefits |
| Delivery | On-site uncertainty, occupant interaction, and poor project management practices | Shapes actual energy savings through workmanship, sequencing, and verification |
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