Submitted:
18 July 2026
Posted:
20 July 2026
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Methodology
2.1. Study Design
2.2. Sources of Information and Selection Criteria
2.3. Analytical Procedure
2.4. Reliability and Validity
3. Results
3.1. Design Principles and Integrated Sustainable Technologies
3.2. Post-Pandemic Adaptation and Passive Strategies for Environmental Comfort
3.3. Life Cycle Assessment and Renewable Energy
3.4. Environmental, Economic and Social Impacts Compared to Conventional Offices
3.5. Productivity, Cognitive Performance, and Stakeholder Value
3.6. Smart Energy Management and Organizational Culture
3.7. Regulatory Frameworks and Sustainability Certification Schemes
3.8. Barriers, Capacity Gaps and Implementation Challenges
4. Discussion
4.1. Theoretical Implications for Sustainable Architecture and the Management of the Built Environment
4.2. Practical Implications for Public Policy, Professional Practice and Academic Training
4.3. Comparison with Existing Literature
4.4. Limitations of the Study
5. Conclusions
5.1. Recommendations
- Integrate life cycle assessment (LCA) from the early stages of design, prioritizing recycled materials and high-performance envelope insulation systems.
- Adopt BIM tools with an interoperable approach from the preliminary design phase, avoiding their late incorporation as an exclusively certification mechanism.
- Articulate investment in smart energy management technologies with parallel programs of organizational change management and sustainable culture development among occupiers.
- Evaluate environmental certification not as an end in itself, but as a component of a comprehensive strategy for the valuation and risk management of real estate assets.
- Design combined incentive packages (financial, fiscal and technical training) instead of isolated measures, particularly aimed at facilitating the adoption of BIM and sustainable materials in the segment of small and medium-sized construction companies.
- Develop specific regulatory frameworks for office sustainability in emerging Latin American economies, adapting lessons from documented success stories in Asia-Pacific and the Middle East to local institutional conditions.
- Update architecture and construction management curricula by incorporating experiential methodologies, virtual reality, and generative artificial intelligence for the teaching of sustainability principles, following the evidence of pedagogical effectiveness documented in recent literature.
5.2. Future Lines of Research
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| Dimension | Description |
| Publication period | 2006–2026, with concentration in the five-year period 2021–2026 (79% of sources included) |
| Databases consulted | Scopus y ScienceDirect |
| Integrated disciplines | Architecture, civil engineering, real estate management, environmental psychology, management sciences and public policy |
| Types of studies identified | Systematic and bibliometric reviews, case studies, life cycle analysis (LCA), occupational surveys, energy simulations and econometric models |
| Initial corpus identified | 152 records |
| Sources included in the final analysis | 63 sources |
| Predominant geographical scope | Europe, North America, the Middle East and Asia-Pacific; limited representation from Africa and Latin America |
| Dimension | Indicator | Magnitude reported | Sources |
| Environmental | Reduced impact from recycled materials and envelope insulation (LCA) | Up to 50% | Dakhia y Zemmouri (2021); Le et al. (2024) |
| Energy | Reducing energy consumption through intelligent management (IoT, AI) | Between 15% and 70% | Ikbal (2025); Alotaibi (2025); Song et al. (2025) |
| Productivity | Increased work productivity in certified offices | Between 2.5% and 26% | Licina and Yildirim (2021) |
| Cognitive performance | Improved cognitive performance in green environments with improved ventilation | Up to 61% | Irfan et al. (2025) |
| Market (developed economies) | Rent premium and transaction value of certified buildings | Between 10% and 12% | Barthauer (2025); Ghosh y Petrova (2024) |
| Costs (emerging economies) | Initial cost overrun of sustainable construction, with return on investment | Between 5% and 21%, payback less than 4 years | Ekung et al. (2022); Ahram y Syed Zakaria (2023) |
| System | Geographical scope | Main Emphasis | Integration of social criteria | Reference Tool/Standard |
| DGNB | Germany and international adoption | Environmental-social-economic balance according to ISO 21929-1 | High, comparatively | ISO 21929-1; Certification for Comprehensive Performance |
| LEED | United States and Global Adoption | Indoor environmental quality and energy efficiency | Limited | Points system by categories (USGBC) |
| BREEAM | United Kingdom and European adoption | Comprehensive environmental lifecycle management | Media | Weighted Category Assessment (BRE) |
| SBToolCZ | Czech Republic (regional adaptation) | Adjustment of criteria and weights to materials and local climate | Media | Local adaptation of the international SBTool |
| GreenShip | Indonesia (regional adaptation) | Adaptation to tropical climatic conditions | Limited | Indonesian Green Building Council (GBCI) |
| Barrier category | Main manifestations | Documented mitigation strategies | Sources |
| Financial | High upfront costs, limited access to financing, variability of market incentives | Combined tax and financial incentives, green financing programs | Kineber et al. (2023); Alwafi (2026) |
| Organizational | Resistance to change, lack of managerial commitment, absence of a culture of sustainability | Change management, committed leadership, sustained internal communication | Benham and Pullot (2025) |
| Technical and Contracting | Poor BIM interoperability, multidisciplinary coordination difficulties, scarcity of certified sustainable materials | BIM implementation frameworks, process standardization, sectoral collaboration | Silva et al. (2025); Waheed et al. (2025); Finished (2025) |
| Educational and training | Insufficient integration of sustainability and BIM in vocational training | Experiential pedagogical models, use of VR and generative AI in teaching | Xia et al. (2025); Wu et al. (2025); Liu, Y., et al. (2025) |
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