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This paper aims to provide a comprehensive analysis of the transformative impact of Artificial Intelligence (AI) and Large Language Models (LLMs), such as GPT-4, on the real estate industry. It explores how these technologies are reshaping various aspects of the sector, from market analysis and valuation to customer interactions and evaluates the balance between technological efficiency and the preservation of human elements in business.

The study is based on an analysis of the strengths and weaknesses of AI as a technology in applications for real estate. It uses this framework to assess the potential of this technology in different use cases. This is supplemented by an emerging literature on the topic, practical insights and industry expert opinions to provide a balanced perspective on the subject.

The paper reveals that AI and LLMs offer significant benefits in real estate, including enhanced data-driven decision-making, predictive analytics and operational efficiency. However, it also uncovers critical challenges, such as potential biases in AI algorithms and the risk of depersonalising customer interactions.

The paper advocates for a balanced approach to adopting AI, emphasising the importance of understanding its strengths and limitations while ensuring ethical usage in the diverse and complex landscape of real estate.

This work stands out for its balanced examination of both the advantages and limitations of AI in real estate. It introduces the novel concept of the “jagged technological frontier” in real estate, providing a unique framework for understanding the interplay between AI and human expertise in the industry.

Against the background of initiatives, which have taken place to foster real estate research in Europe, this article seeks to analyse important dimensions of that research.

The article investigates the evolution from 2000 to 2015 in the proportion of papers published by authors with a European affiliation in the three main international real estate journals (Real Estate Economics, Journal of Real Estate Finance and Economics and Journal of Real Estate Research). Then, focusing on papers with at least one European author and/or concentrating on Europe, the article analyses papers published from 2008 to 2015 in the two main European real estate journals (Journal of European Real Estate Research and Journal of Property Research) by authors’ country of affiliation, by country of study and by theme. Finally, we analyse links between author’s country of affiliation and country of study and theme, respectively.

The results show that the proportion of papers published by European authors in the three main international real estate journals has increased during the 2000-2015 period. The author's analyses of papers published in the two European real estate journals suggest that UK-based researchers are the most prolific. There is also a strong “home bias” in that authors largely focus on the country in which they are based. The interest in housing and valuation increased markedly during the period. Finally, the article reports linkages between country of affiliation and theme.

This paper should provide a much clearer understanding of several aspects of real estate research in Europe.

The goal of this paper is to present a roadmap for real estate operating companies (REOCs) to transform themselves into tech-centric enterprises.

This qualitative approach is based on the impact of technology on physical real estate assets and organisational structures as reviewed in industry and academic literature, professional experience and current property technology (PropTech) applications.

New technologies are rapidly changing how investors, tenants and managers use, invest and finance property. The revolutionary change for the industry will be in its organisational and industry structure, away from the traditional hierarchical-mechanistic form to a virtual open-agile-innovative organisational form.

Research limitations come from the lack of real estate companies utilising the hybrid flipped form of organisational structures.

Due to the current state of the economy, effects of the pandemic and rapid adoption of new technologies, real estate companies are likely to radically change the way they are organised, how they add value, innovate and their leadership/management style.

The revolution in real estate technologisation will not come from the application of these technologies but the rapid change in ideological thought and management leadership style and culture.

The introduction of artificial intelligence/machine learning (AI/ML), blockchain, virtual reality, tablets, cell phones, applications, 5G, etc. is putting pressure on real estate organisations to change. These changes are long overdue and the future, modern real estate company will take a hybrid PropTech form – a company focussed on delivering high-quality products and services to its clients in real time.

Investigates the role of investment and finance in real estate education and researches the programs of the conferences of the American Real Estate Society (ARES), the European Real Estate Society (ERES), held in the years 1999, 2000 and 2001, and the program of the International Real Estate Society (IRES) World Congress 2001. To give a structure to the different topics of hundreds of papers, the interdisciplinary approach is taken as a framework visualised by the “House of real estate economics”. The paper comes to the conclusion that real estate investment and finance play an important role which is supposed to decrease in the future.

This paper seeks to address the question of consistency, regarding the allocation of real estate in the mixed‐asset portfolio.

To address the question of consistency the allocation of real estate in the mixed‐asset portfolio was calculated over different holding periods varying from five to 25 years. For each portfolio and holding period, the percentage of portfolios with real estate was computed, as was the average real estate allocation in the optimum solution. Then, the risk and return differences between the two efficient frontiers, with and without real estate, were calculated to estimate real estate's marginal impact on portfolio performance.

First, the results suggest strongly that real estate has possessed the attribute of consistency in optimised portfolios. Second, the benefits from including real estate in the mixed‐asset portfolio tend to increase as the investment horizon is extended. Third, the position of real estate changes across the efficient frontier from its return enhancing ability to its risk‐reducing facility. Finally, the results show that the gain in return from adding real estate to the mixed‐asset portfolio is typically less compared with the reduction in portfolio risk.

The results highlight a number of issues in relation to the role of direct real estate within a mixed‐asset framework. In particular, the rationale behind the inclusion of real estate in the mixed‐asset portfolio depends on the length of the holding period of the investor and their position on the efficient frontier.

The study examines the attractiveness of direct real estate in the context of mixed‐asset portfolio.

The purpose of this paper is to analyze papers that have been published in the Journal of European Real Estate Research since its inception in 2008.

The author analyzes papers published from 2008 to 2019 in the Journal of European Real Estate Research by authors’ country of affiliation, by country of study and by theme.

The Journal of European Real Estate Research publishes papers from scholars from an increasing number of countries, in particular in Central and Eastern Europe. Papers that provide a comparative analysis of countries constitute the largest category of contributions. The three most popular themes remain housing, valuation and investment/portfolio management. However, the dynamics of the three categories differ notably.

This paper provides for a clearer understanding of key dimensions of real estate research in Europe.

Environment, social and governance (ESG) has taken on increased importance in recent years. This paper assesses the increasing importance of the social (“S”) dimension of ESG in the real estate space and the strategies being used by the leading real estate players to deliver this important aspect of ESG. This includes gender equality, cultural diversity, staff wellness, supply chain management and community engagement. It also indicates the need for an increased level of metrics in the S space for the effective delivery and external validation of the S dimension into real estate investment decision-making.

This research is based on a thorough understanding of the ESG environment in the real estate industry by the author. Best practice examples regarding the S dimension are given from the ESG/sustainability reports from real estate players in Australia who are leaders in the ESG space.

Excellent examples of the delivery of the S dimension are reported from the ESG/sustainability reports from the real estate industry. Whilst there is an increasing range of S information being reported in the real estate industry, there is a need for more metrics to effectively report this S information to indicate its key role in seeing the S dimension being delivered for the fuller integration of ESG at all levels of the real estate industry. The external validation of this S information will also take on increased importance going forward.

With ESG becoming a critical issue in the real estate sector, issues involved in the S space will take on increased significance. This is critical, as the elements of the S dimension such as gender equality, cultural diversity, staff wellness, community engagement and supply chain management are important aspects for an effectively functioning real estate industry. More metrics in the S space will be an important development to further expand the delivery and external validation of the S space of ESG.

This paper is the first paper to specifically address the need for more focus on delivering the S dimension of ESG in the real estate industry, highlighted by best practice examples from the real estate industry in Australia. This is a key issue for the real estate industry going forward at all levels to facilitate more effective real estate investment decision-making.

Understanding correlations between stock and direct real estate returns, which is the key factor that determines diversification benefits in a portfolio, helps formulate and implement better investors' asset allocation and risk management strategies. The past studies find that direct real estate returns have a low unconditionally (long‐run) correlation with the returns of equities. However, assuming that such correlation is constant throughout all periods is implausible. The purpose of this study is to test the time‐varying correlations of returns between general stocks and direct real estate.

This study uses the dynamic conditional correlation (DCC) model, which is a simplified version of the multivariate generalised autoregressive conditional heteroskedasticity (GARCH) model, proposed by Engle to test the time‐varying correlations between stock and direct real estate returns in six markets, which include the USA, the UK, Ireland, Australia, Hong Kong and Singapore.

The empirical results show significant time‐varying effects in the conditional covariance between stock returns and direct real estate returns. The results vary across different real estate sub‐sectors, and across different countries. It is observed that the conditional covariance increases in the boom markets, but becomes weaker in the post‐crisis periods. The authors observed significant jumps in the conditional covariance between the two asset markets in Singapore and Hong Kong in the post‐1977 Asian Financial crisis periods and in the post‐2007 US Sub‐prime crisis periods.

The past studies find that direct real estate returns have a low unconditionally (long‐run) correlation with the returns of equities. However, assuming that such correlation is constant throughout all periods is implausible. This study fills in the gap by using the dynamic conditional correlation models to allow for time‐varying effects in the correlations between stock and real estate returns.

Presents an investigation into the existence of information processing heuristics in two commercial bank lender types that provide investment and construction loans secured by real estate. Expert real estate banking lenders and expert private banking lenders evidenced different, systematic group specific heuristic usage. Heuristics constrained information cue relevancy and affected the lending decision. Expert private banking lenders mitigated real estate risk by using non‐collateral specific information cues. Real estate lending experts did not mitigate real estate market risk and required favourable collateral specific information cues in order to approve a loan. Concludes that access to credit for real estate investment may be limited by lender expertise because the development of expertise mandates restrictive task interpretation and cue relevance.

The purpose of this paper is to model how real estate strategies can add value to the core business, providing corporate real estate mangers with a tool to illustrate to corporate officers how real estate adds value to the firms.

The authors review previous research and interview 26 corporate real estate executives to examine what are common approaches to developing real estate strategies and measuring performance. They then model how real estate adds value to the firm and how that value can be measured.

Many firms do not recognize how real estate adds value to the business. While they may have a corporate real estate strategy, that strategy is often not developed in coordination with the overall business strategy. In addition, the performance measures being used by many companies focus solely on cost, not value added.

Corporate real estate's contribution to the core goal of wealth maximization can be modeled to illustrate the tangible and intangible effects real estate has financial performance. A structured approach to developing a real estate strategy in conjunction with the core business strategy, supported by a performance measurement system will allow corporate real estate executives to better communicate how corporate real estate is adding value to the firm.

Corporate real estate managers need better ways to illustrate, to corporate leaders, how they add value. This paper illustrates such a model with supporting operating decisions and performance measures.