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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.

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.

The purpose of this paper is to provide a profile of the structure of real estate education provision in Europe, its key recent drivers and some ideas for its future development.

The paper provides an analysis of recent trends in provision based on the European course accreditation data provided by the Royal Institution of Chartered Surveyors (RICS). The structure of provision is examined within the context of the significant changes which have taken place in the structure of European real estate markets as a means of identifying its key drivers. The analysis goes on to consider the opportunities presented for the future development of provision by two important initiatives the “Bologna Process” and the “European Real Estate Society Education Seminar”.

There has been considerable expansion in the provision of real estate education in Europe in recent years. The postgraduate level both full‐time and part‐time has been established as the dominant mode of provision with a business school setting as an increasingly important academic context. The two initiatives examined have the potential to contribute to the development of a truly pan‐European approach to real estate education.

The paper provides the first systematic review of real estate education provision in Europe directly related to changes in the structure of real estate markets. It provides educators which some ideas on how to shape future provision in particular though the development of key stakeholder relationships across Europe.

The Asian real estate markets have grown considerably in recent years and have taken on increased investment importance, particularly with significant developments in the emerging markets in Asia. This paper assesses the opportunities for more research on the Asian real estate markets, by highlighting the significance of Asia real estate, the drivers behind this growth and the unique opportunities this presents for high-quality real estate research, by both local researchers and their international colleagues. Strategies for delivering this research agenda are also identified.

This research is based on a thorough understanding of the Asian real estate markets, based on my own research agenda, personal interactions, insights and extensive discussions with real estate leaders in the Asian markets. This is supported by a clear understanding of the real estate research opportunities in the Asian markets and the strategies needed to deliver this research agenda in an effective manner.

A range of real estate research areas are identified to increase the level of Asian real estate research. This sees research opportunities around key areas such as market dynamics, real estate investment vehicles, alternate real estate sectors, infrastructure and sustainability. Strategies for expanding this level of research for both local and international real estate researchers are also identified.

With the Asian real estate markets taking on more importance with many international real estate investors, it is important to see more high-quality research into these dynamic real estate markets. This research will see a fuller understanding of these Asian real estate markets to enable more informed real estate investment decision-making.

The need for more high-quality research into the Asian real estate markets is clearly presented, with enabling strategies to achieve this agenda identified. This will see expanded research opportunities to critically research these unique real estate markets and produce high-quality research publications.

Tests the inflation‐hedging ability of Swiss real estate over the 1943‐1991 period and, for comparison purposes, that of stocks. Results show that in the long run real estate seems to provide a better hedge against inflation than common stocks. When the inflation rate is broken down into its expected and unexpected components, all coefficients are negative for stocks, whereas some coefficients are positive for real estate. This is particularly true for unexpected inflation. These results are interesting in that the proxy used for real estate (i.e. data pertaining to real estate mutual funds) should be a much better indicator of changes in the underlying real estate than indices which have been used so far. Moreover, the data exists for a very long time period, which makes it possible to test the long‐term ability of real estate to hedge against changes in the purchasing power.

Examines the impact of using “unsmoothing” techniques on real estate data to take pension‐plan asset‐allocation decisions. It is generally believed that valuation‐based real estate indices give rise to returns figures which are “smoothed” versions of the underlying transaction prices. Unsmoothing techniques can be used to develop real estate return data series that are believed to be a more accurate representation of underlying transaction prices. If this is done, the resulting data reveal greater volatility of real estate returns. When such data are applied to portfolio selection models, they often reveal a reduced allocation to real estate in efficient portfolios. Looks at the impact of unsmoothing data when taking pension‐plan asset‐allocation decisions. Finds here that the unsmoothed data are more closely correlated with pension plan liabilities. As a result, efficient pension plan portfolios sometimes contain more real estate, rather than less. In general, there is little change in the efficient real estate allocation. These results are very important. They reveal that so‐called “valuation smoothing” may distort property investment decisions less than is commonly thought.

The purpose of this research paper is to provide corporate real estate executives with a measurement tool for pinpointing and enhancing the contribution of corporate real estate to corporate strategy.

A measurement tool is designed by adopting a theoretical framework in which seven added values of real estate are aligned with nine corporate strategic driving forces. The practical applicability of this tool is validated by assessing the contribution of corporate real estate to corporate strategy at 14 Dutch‐based global corporations.

Many corporations still lack sufficient insight into the impact of corporate real estate decisions on corporate performance. Therefore, it is difficult for senior management and other stakeholders to grasp the actual contribution of corporate real estate.

Future research may be conducted to investigate the exhaustiveness of the listed real estate issues. Moreover, the linkage between the added values and the strategic driving forces could be validated further in practice.

The measurement tool supports corporate real estate executives in aligning corporate real estate with corporate strategy. Thereby it contributes to the further recognition of the importance of real estate in a corporate setting.

Prior papers on the contribution of corporate real estate to corporate strategy have primarily been focused on either pinpointing various driving forces or linking specific property decisions to corporate strategy. This paper, however, unveils the linkage between fundamental drivers of corporate real estate and corporate strategy in a comprehensive management tool for portfolio analysis and strategy formulation.

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.

The Corporate Real Estate Portfolio Alliance performed extensive research into corporate real estate portfolio management and developed a number of new practices and analytical methods. A number of papers in this issue of the Journal of Corporate Real Estate resulted from the research. This paper provides an overview of the corporate real estate organisations and researchers involved, the research methodology and its findings.

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.