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This paper aims to highlight a broader definition of good building performance that goes beyond the traditional emphasis on technical aspects, only adopting the lens of the social construction of technology (SCOT) in the empirical space of the workplace sector. Several building performance evaluation (BPE) methods focus on technical aspects such as energy consumption, indoor environmental conditions and compliance with building regulations and standards. Technical aspects, albeit important goals, only embed a partial component of what buildings are expected to deliver. There is growing interest in considering the organisational and experiential expectations of building performance, particularly integrating various views of performance as expected by different user groups.

The paper adopts an archival research method to analyse the archive of the workplace consultants DEGW, particularly focusing on their work on London’s Broadgate development in the 1980s and the 1990s.

The findings reveal how voices from a pluralistic client organisation can be addressed to articulate a broad definition of building performance that integrates different viewpoints encompassing technical, organisational and experiential expectations. In DEGW’s work, the views on building performance of various stakeholders involved in the everyday use and management of buildings are identified without imposing predetermined agendas or research notions of performance. Particular emphasis is given to understanding clients as not a homogenous entity but consisting of different interest groups, which implies multiple conceptualisations of building performance and the building itself.

The performance expectations of a building vary between organisations and even within any organisation. Moreover, the needs of an organisation will change over time, and the BPE criteria need to be changed to ensure better alignment between organisations and the physical spaces they occupy. A critical reflection on the conceptualisation of “users” and “building” in BPE methods is required to create an integrated approach towards building performance.

The paper offers insights by adopting the theoretical lens of SCOT to explore an integrated approach to building performance that captures the varied needs of building users through the example of London’s Broadgate development.

Artificial intelligence (AI), machine learning (ML) and deep learning (DL) are having a major impact on banking (FinTech), health (HealthTech), law (RegTech) and other sectors such as charitable fundraising (CharityTech). The pace of technological innovation and the ability of AI systems to think like human beings (simulate human intelligence), perform tasks independently, develop intelligence based on its own experiences and process layers of information to learn ever-complex representations of data (ML/DL) means that improvements in the rates at which this technology can undertake complex, technical and time-consuming tasks, identify people, objects, voices, patterns, etc., screen for ‘problems’ earlier, and provide solutions, provide astounding benefit in economic, political and social terms. The purpose of this paper is to explore advents in AI, ML and DL in the context of the regulatory compliance challenge faced by financial institutions in the United Kingdom (UK).

The subject is explored through the analysis of data and domestic and international published literature. The first part of the paper summarises the context of current regulatory issues, the advents in deep learning, how financial institutions are currently using AI, and how AI could provide further technological solutions to regulatory compliance as of February 2023.

It is suggested that UK financial institutions can further utilise AI, ML and DL as part of an armoury of solutions that ease the regulatory burden and achieve high levels of compliance success.

To the best of the author’s knowledge, this is the first study to specifically explore how AI, ML and DL can continue to assist UK financial institutions in meeting the regulatory compliance challenge and the opportunities provided for financial institutions by the metaverse.

Although the Singapore model of ethnic integration through its public housing programme is well known, the formula for replicating its success elsewhere remains underexplored. This study aims to identify the criteria for successful transplantation, specifically by identifying the housing tenure types that are most amenable to the implementation of the Singapore model.

Through a comparative study of two common law jurisdictions – Singapore and England – this article highlights the differences in their housing landscapes and how such differences impact upon the adoption of ethnic integration policies through housing. The article also unpacks, through a cross-disciplinary lens, the concepts of public housing and housing tenures, drawing heavily on socio-legal and housing literature.

The authors observe that the implementation of ethnic integration policies is best justified and most easily achieved in leasehold estates that exhibit a strong tenurial relationship with the state retaining a more than notional role. Public housing in Singapore being an exemplar of this model, the implementation of its ethnic integration policy is relatively straightforward. By contrast, the shrinking public housing sector in England means that adoption of a similar policy would have limited reach. Even then, the political–legal environment in England that promotes home ownership is potentially hostile to the adoption of such policy as it may be seen as an infringement of private property right.

The cross-jurisdiction comparison is supplemented by an interdisciplinary analysis that seeks to bridge differences in the categorisation of tenure in housing and law literatures so as to promote cross-disciplinary dialogue.

To construct effective compliance programmes, the phenomenon of non-compliance and variations in its abidance must be elucidated. The purpose of this paper is to discuss the social reality of ethical decision making, which examines the internalisation of moral norms and realities of social behaviour and, therefore, the general non-compliance with everyday laws (Tyler, 2006).

This paper makes use of several social theories, including social proof theory, traditional social theory and social control theory. Humans are social beings, and decision-making in ethics is strongly influenced by herding behaviour (Roy, 2021). The behaviour of others and normative ethical standards inform the compliance of behaviour to an undiminishable degree.

Although there is a host of factors to consider, the success of compliance can largely be attributed to people’s perception and reception of authority. The perception of authority and legitimacy plays a vital role in appreciating the complexity of rule following. Legitimacy, and its embodiment by persons in public roles, is a cornerstone of the subsequent discussion.

This paper uncovers the underlying motivations of non-compliance as well as the social psychology involved in the ethics of compliance. Cross-disciplinary connections are made between the private and public sector and practical compliance recommendations. The significant impact of integrity culture and value-based compliance emerges from the dissection of the social reality.

The paper aims to provide a comprehensive analysis of artificial intelligence’s (AI) transformative impact on the real estate industry. By examining various AI applications, from property recommendations to compliance automation, this study highlights potential benefits such as increased accuracy and efficiency. At the same time, this study critically discusses potential drawbacks, like privacy concerns and job displacement. The paper's goal is to offer valuable insights to industry professionals and policy makers, aiding strategic decision-making as AI continues to reshape the landscape of the real estate sector.

This paper employs an extensive literature review, combined with a qualitative analysis of case studies. Various AI applications in the real estate industry are examined, including machine learning for property recommendations and valuation, VR/AR property tours, AI automation for contract and regulatory compliance, and chatbots for customer service. The study also delves into the optimisation potential of AI in building management, lead generation, and risk assessment, whilst critically discussing potential challenges such as data privacy, algorithmic bias, and job displacement. The outcomes aim to inform strategic decisions for industry professionals and policy makers.

The study finds that AI has significant potential to revolutionise the real estate industry through enhanced accuracy in property valuation, efficient automation and immersive AR/VR experiences. AI-driven chatbots and optimisation in building management also hold promise. However, this study also uncovers potential challenges, including data privacy issues, algorithmic biases, and possible job displacement due to increased automation. The insights gleaned from this study underscore the importance of strategic decision-making in harnessing the benefits of AI while mitigating potential drawbacks in the real estate sector.

The paper's practical implications extend to industry professionals, policy makers, and technology developers. Professionals gain insights into how AI can enhance efficiency and accuracy in the real estate sector, guiding strategic decision-making. For policy makers, understanding potential challenges like data privacy and job displacement informs regulatory measures. Technology developers can also benefit from understanding the sector-specific applications and concerns raised. Additionally, highlighting the need for addressing algorithmic bias and privacy concerns in AI systems may foster better design practices. Therefore, the paper's findings could significantly shape the future trajectory of AI integration in real estate.

The paper provides original value by offering a comprehensive analysis of the transformative impact of AI in the real estate industry. Its multi-faceted examination of AI applications, coupled with a critical discussion on potential challenges, provides a balanced perspective. The paper's focus on informing strategic decisions for professionals and policy makers makes it a valuable resource. Moreover, by considering both benefits and drawbacks, this study contributes to the discourse on AI's broader societal implications. In the context of rapid technological change, such comprehensive studies are rare, adding to the paper's originality.

The purpose of this briefing is to highlight the critical importance of negotiation skills in the everyday lives of real estate professionals. It delves into how negotiators must improve their negotiations skills given the negotiation-intensive nature of real estate. It also helps to handle common pitfalls and challenges in negotiations, particularly in the increasingly volatile, uncertain, complex and ambiguous (VUCA) reality of the real estate industry. The briefing offers strategic insights for preparation and negotiation aimed at improving any real estate negotiator’s average performance.

The expert opinion piece combines a literature review on negotiation strategies with practical insights. It addresses the observed under appreciation of negotiation theory and skill, reflecting on real-world real estate negotiations. The goal is to enhance the use and recognition of negotiation theory in the real estate industry. The approach merges theoretical analysis with practical application, offering actionable recommendations to improve negotiation outcomes.

The negotiation-intensive real estate industry and the transformative impact of VUCA challenges on real estate professionals’ ability to adapt and continuously negotiate successful deals clashes with many real estate’s professional or fixed mind-set over negotiation historically being an art or a talent and mostly being stuck with win-lose strategies. Instead, negotiation is a science that can be learned and deliberately improved to counter stress-induced or fear-based responses that lead negotiators toward suboptimal negotiation strategies, such as win-lose or naive win-win. However, these dynamics are preventable. Well-equipped and well-prepared value win-win negotiators can adopt a growth mind-set, study modern negotiation advice and frameworks to thrive in the negotiation-rich real estate industry and convert even VUCA challenges into an amazing source of value.

Real estate professionals can become more aware of which and how current obstacles and poor choices negatively contribute to their negotiation performance. It contrasts win-lose and win-win strategic frameworks to enable real estate professionals to become more sophisticated when choosing their negotiation strategies. The briefing also helps real estate professionals expand their negotiation repertoire towards improved strategic flexibility when managing the evolving real estate profession reality and challenges.

The originality and value of the briefing lie in its comprehensive approach to addressing the negotiation challenges faced by real estate professionals. It offers a holistic view of real estate negotiation, advocating for a paradigm shift from traditional win-lose tactics to a collaborative, value win-win approach. The briefing integrates modern negotiation theory and emphasises ethical practices, providing practical strategies and best practices for professionals to improve their skills and adapt to industry changes. By empowering real estate professionals with knowledge and tools to navigate negotiations effectively, the briefing contributes to the overall success and professionalism of the industry.

The main objective of this study is to evaluate the driving forces behind the adoption of indoor environmental quality (IEQ) principles in building designs from the perspectives of Nigerian quantity surveying firms.

A quantitative approach was used which involved administering a well-structured questionnaire to a sample of 114 quantity surveyors. The collected data were analyzed using various statistical methods, including frequencies, percentages, mean item scores, Kruskal–Wallis test and exploratory factor analysis.

The top five ranked drivers were climate change mitigation, conservation of natural resources, reduction of waste and pollution, use of sustainable building materials and development of new materials and building systems. Based on the factor analysis, the study identified five clusters of drivers: (1) health and well-being drivers (2) economic drivers (3) environmental drivers (4) innovation and technology drivers and (5) regulatory drivers.

The findings from this study suggest that to effectively integrate IEQ principles, quantity surveying firms should consider developing comprehensive guidelines and checklists that align with the identified drivers and clustered categories. These resources can serve as practical tools for project teams, facilitating a structured and holistic approach to the incorporation of IEQ factors throughout the project lifecycle.

The study’s identification of the top drivers and the subsequent clustering of these drivers into five distinct categories contributes to the existing body of knowledge on IEQ. This approach provides a structured framework for comprehensively understanding the factors influencing IEQ adoption, offering a valuable tool for researchers, policymakers and industry practitioners.

This study aims to improve the use of digitalization in facilities management (FM) for shopping complex facilities in the post-COVID-19 era. The resumption of economic activities, especially in shopping complexes, poses challenges for FM with throngs of shoppers. To tackle these challenges, enhanced and innovative FM practices are necessary.

The study used a qualitative research approach, incorporating case studies, interviews, observations and documentation. It focused on super-regional shopping complexes in the Klang Valley, Malaysia, selecting two complexes for qualitative data collection. Supplementary data were gathered from various sources, including government policy publications, websites, books, journal papers and archival records.

The research provides valuable insights into FM innovations and the application of FM digitalization in shopping complexes after the COVID-19 pandemic. It also addresses challenges faced by FM teams during this period. Recommendations for implementing FM digitalization in super-regional shopping complexes post-COVID-19 include developing skilled personnel, defining appropriate work scopes, strategies and policies, using cost-effective software, and increasing occupant awareness. The involvement of outsourced service providers is advised, emphasizing their understanding of the organization’s business model and innovative approaches.

The findings offer new perspectives on the characteristics of FM digitalization in the commercial sector during business disruptions caused by the pandemic. The proposed strategies are grounded in real industry implementations, aiming to enhance the FM digitalization approach for improved business performance.

Sustainability has become an integral part of the real estate industry, alongside advancing globalization and demographic development. Due to real estate's influence on greenhouse gas emissions throughout its life cycle, both the regulatory and legal requirements concerning the sustainability of real estate are growing and, as a result of social responsibility, the interest of tenants and investors in sustainable real estate. However, criteria for measuring the ecological sustainability of a real estate investment in the purchase process in order to reduce the risk of including “stranded assets” in the portfolio are missing. This paper aims to address the need to integrate the issue of carbon stranding into existing sustainability rating tools.

Existing tools are examined based on defined criteria to determine whether they are suitable for purchasing a property before suitable tools for purchase are compared. Strengths and weaknesses are identified, which are to be remedied with the scoring tool. Taxonomy regulation is integrated into the existing valuation basis as a legal regulation.

The result is a scoring tool that enables real estate companies to measure and evaluate the ecological sustainability performance of a property during the acquisition process, taking into account the three aspects of sustainability and considering them when determining an appropriate purchase price in line with market conditions. Moreover, the developed tool helps to minimize the risk of acquiring a stranding asset.

The environmental, social and governance (ESG) framework employed in this study does not incorporate governance considerations. While the analysis extensively evaluates the building's environmental and social aspects, it does not extend to examining the governance practices of the companies involved. Thus, the assessment is confined solely to the physical attributes of the property without accounting for broader corporate governance factors.

The developed scoring tool represents a valuable tool for the real estate industry, offering insights into sustainability performance during property acquisitions and providing a structured framework for decision-making. By addressing both certification and taxonomy regulation requirements, the tool contributes to the industry's evolution toward more sustainable and environmentally responsible real estate practices.

In response to the growing importance of sustainability in the real estate industry, this paper introduces a novel scoring tool for evaluating the sustainability of real estate investments during the acquisition process.

This study aims to investigate Australian civil tribunal decisions to ascertain compliance with decisional quality standards in Australian law, with a particular focus on strata and community title cases.

An orthodox doctrinal legal analysis and assessment of cases and tribunal policies was adopted. All Australian jurisdictions were surveyed, including federal, state and territory jurisdictions. The case law in each jurisdiction was screened to identify whether the principles applicable to decisional quality were engaged and then analysed as to the extent of that engagement.

Where a party presents a substantial, clearly particularised argument relying upon established facts, tribunals are obliged to address those facts and the arguments by way of an active intellectual process. However, appellate decisions disclose a degree of deference not often accorded to judicial officers, and there is a need for a more disciplined approach to ascertain whether any errors have been made by a tribunal lie on the critical path to the decision. As strata and community title disputes become more complex, the importance of decisional quality standards can only increase.

Up to date as of 1 March 2023.

The present position would appear to be that where a party presents a substantial, clearly particularised argument relying upon established facts, a tribunal must address its mind to those facts and the arguments by way of an active intellectual process. The requirement is limited to circumstances prescribed by a statute and factual and legal issues which are necessary to be determined in order for the tribunal to be satisfied as to circumstances prescribed by a statute. However, where the errors are not gross and plainly obvious, appeals from defective tribunal decisions are unlikely to succeed. There is a degree of deference not often accorded to judicial officers. That deference is unfortunate when tribunals are allocated jurisdiction over what quite often are significant property disputes.

The impact on community living of uncorrected poor quality tribunal decisions can be immense, depending on the degree of error. For example, water ingress into people’s homes might remain unremedied for many years, as, for example, occurred in the Marinko case.

The research and analysis is entirely original. A search of journals and textbooks did not identify any prior analysis, at least in the Australian context, relating to decisional quality standards of tribunals.