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The purpose of this paper is to examine a recent comprehensive corporate real estate (CRE) alignment model which was derived from previous CRE alignment models. This study proposes several modifications and additions based on business and decision-making literature to increase the framework’s multidisciplinary strength and extend its implementation phase.

Literature from various fields is reviewed and “lessons” incorporated into the framework. The business literature review began with corporate strategy theories cited in CRE alignment theory and extended to critiques of those and more recent theories. Likewise, decision-making and implementation both began with material cited in CRE literature and “rippled” out to encompass pertinent material.

The model used provides a robust framework, and this study has identified several areas that would appear to improve that model from a theoretical and practical perspective. Areas of further research are identified that appear to offer opportunities to further develop the framework.

Historically, there has been a tendency for new CRE alignment models to be created rather than existing ones being developed further. Here, a framework derived from a meta-study of CRE alignment models is reviewed, and improvements are proposed to further develop CRE alignment theory and its application in practice through the addition of viewpoints from the business field and more focus on the implementation phase of the model.

This paper aims to determine the advantages and disadvantages associated with integrating a coworking environment into the real estate portfolios of large office-based organizations. The study discusses both external and internal coworking solutions.

This paper is a literature review and qualitative research based on 12 semistructured interviews with high-level real estate practitioners, including users, suppliers and consultants.

The authors examined the advantages and disadvantages of incorporating coworking environments into the real estate portfolios of large organizations from the four perspectives of Krumm et al. (2000). These perspectives were operationalized through the 12 real estate added value parameters of Jensen and Van der Voordt (2017). The findings show that improved adaptability is the greatest advantage of external coworking solutions (facility management perspective). The most significant advantage of internal coworking is related to stimulation of innovation, creativity and knowledge sharing (general management perspective). The disadvantages of external and internal coworking partly overlap and are mainly the negative effect on the corporate culture (general management perspective).

The findings contribute to the understanding of the advantages and disadvantages of incorporating both external and internal coworking solutions from multiple perspectives and allow to compare them. The authors developed and tested an operationalization of the four perspectives of Krumm (2000) through the 12 added values of Jensen and Van der Voordt (2017). Opinions and perceptions of professionals regarding internal and external coworking models are presented in a framework and related to earlier findings.

This study aims to enrich our understanding of the characteristics of non-urban coworking spaces (CSs) that focus on corporate users, as well as the benefits that companies expect to gain from incorporating those CSs into their corporate real estate (CRE) portfolios.

This study leverages a series of in-depth interviews with owners and managers of CSs in non-urban locales that focus on serving corporate clients.

The research reveals various CS characteristics and forms within non-urban areas, focusing on corporate clients. It suggests that implementing a CS in corporate premises is perceived to enhance CRE use-value strategies with a focus on the employee's well-being, innovation and the attraction of talents. Moreover, exchange-value strategies with a focus on portfolio flexibility may benefit from the implementation of a CS. However, strategies related to life-cycle cost optimization or gains are not perceived to be supported. Social events for the surrounding neighborhood and the choice of location emerge as critical success factors for non-urban CSs. Besides infrastructure and connectivity, non-urban corporate-centric CSs built their location decisions rather on a personal connection to the location and place of residence of potential users than on lower rental prices.

This research pioneers in providing a comprehensive understanding of non-urban CSs, particularly in the context of their perceived implications for corporate real estate management. The nuanced perspectives it offers are invaluable for stakeholders looking to leverage CSs as part of their corporate strategies.

This study illustrates the economic and financial dynamics of the sector, analysing the evolution of the main ratios of profitability and financial structure of 1,559 Italian real estate companies divided into the three macro-regions: North, Centre and South, in the period 2011–2020. In this way, it is also possible to verify the responsiveness to the 2020 pandemic crisis.

The analysis uses descriptive statistics tools and the ANOVA method of analysis of variance, supplemented by the Tukey–Kramer test, to identify significant differences between the three Italian macro-regions.

The study shows the increase in profitability after the 2008 crisis, despite its reverberation in the years 2012–2013. The financial structure of companies improved almost everywhere. The pandemic had modest effects on performance.

In the future, other indices should be considered to gain a more comprehensive view. This is a quantitative study based on financial statements data that neglects other important economic and social factors.

Public policies could use this study for better interventions to support the sector. In addition, internal management can compare their company's performance with the industry average to identify possible improvements.

The research analyses an economic field that employs a large number of people, especially when considering the construction and real estate services covered by this analysis.

The study contributes to the literature by providing a quantitative analysis of industry dynamics, with comparative information that can be deduced from financial statements over the years.

The study aims to develop a model that supports the application of data science techniques for real estate professionals in the fourth industrial revolution (4IR) era. The present 4IR era gave birth to big data sets and is beyond real estate professionals' analysis techniques. This has led to a situation where most real estate professionals rely on their intuition while neglecting a rigorous analysis for real estate investment appraisals. The heavy reliance on their intuition has been responsible for the under-performance of real estate investment, especially in Africa.

This study utilised a survey questionnaire to randomly source data from real estate professionals. The questionnaire was analysed using a combination of Statistical package for social science (SPSS) V24 and Analysis of a Moment Structures (AMOS) graphics V27 software. Exploratory factor analysis was employed to break down the variables (drivers) into meaningful dimensions helpful in developing the conceptual framework. The framework was validated using covariance-based structural equation modelling. The model was validated using fit indices like discriminant validity, standardised root mean square (SRMR), comparative fit index (CFI), Normed Fit Index (NFI), etc.

The model revealed that an inclusive educational system, decentralised real estate market and data management system are the major drivers for applying data science techniques to real estate professionals. Also, real estate professionals' application of the drivers will guarantee an effective data analysis of real estate investments.

Numerous studies have clamoured for adopting data science techniques for real estate professionals. There is a lack of studies on the drivers that will guarantee the successful adoption of data science techniques. A modern form of data analysis for real estate professionals was also proposed in the study.

Building information modeling (BIM) is a striking development in the architecture, engineering and construction (AEC) industry, which provides in-depth information on different stages of the building lifecycle. Real estate valuation, as a fully interconnected field with the AEC industry, can benefit from 3D technical achievements in BIM technologies. Some studies have attempted to use BIM for real estate valuation procedures. However, there is still a limited understanding of appropriate mechanisms to utilize BIM for valuation purposes and the consequent impact that BIM can have on decreasing the existing uncertainties in the valuation methods. Therefore, the paper aims to analyze the literature on BIM for real estate valuation practices.

This paper presents a systematic review to analyze existing utilizations of BIM for real estate valuation practices, discovers the challenges, limitations and gaps of the current applications and presents potential domains for future investigations. Research was conducted on the Web of Science, Scopus and Google Scholar databases to find relevant references that could contribute to the study. A total of 52 publications including journal papers, conference papers and proceedings, book chapters and PhD and master's theses were identified and thoroughly reviewed. There was no limitation on the starting date of research, but the end date was May 2022.

Four domains of application have been identified: (1) developing machine learning-based valuation models using the variables that could directly be captured through BIM and industry foundation classes (IFC) data instances of building objects and their attributes; (2) evaluating the capacity of 3D factors extractable from BIM and 3D GIS in increasing the accuracy of existing valuation models; (3) employing BIM for accurate estimation of components of cost approach-based valuation practices; and (4) extraction of useful visual features for real estate valuation from BIM representations instead of 2D images through deep learning and computer vision.

This paper contributes to research efforts on utilization of 3D modeling in real estate valuation practices. In this regard, this paper presents a broad overview of the current applications of BIM for valuation procedures and provides potential ways forward for future investigations.

The purpose of this study is to understand the investment decision-making of real estate investors in housing, highlighting the interplay between rational and irrational factors. In this study, investment satisfaction was a mediator, while reinvestment intention was the dependent variable.

A quantitative, cross-sectional and descriptive research design was used, gathering data from a sample of 550 residential real estate investors using a multi-stage stratified sampling technique. The partial least squares structural equation modelling disjoint two-stage approach was used for data analysis. This methodological approach allowed for an in-depth examination of the relationship between rational factors such as location, profitability, financial viability, environmental considerations and legal aspects alongside irrational factors including various biases like overconfidence, availability, anchoring, representative and information cascade.

This study strongly supports the adaptive market hypothesis, showing that residential real estate investor behaviour is dynamic, combining rational and irrational elements influenced by evolutionary psychology. This challenges traditional views of investment decision-making. It also establishes that behavioural biases, key to adapting to market changes, are crucial in shaping residential property market efficiency. Essentially, the study uncovers an evolving real estate investment landscape driven by evolutionary behavioural patterns.

This research redefines rationality in behavioural finance by illustrating psychological biases as adaptive tools within the residential property market, urging a holistic integration of these insights into real estate investment theories.

The study reshapes property valuation models by blending economic and psychological perspectives, enhancing investor understanding and market efficiency. These interdisciplinary insights offer a blueprint for improved regulatory policies, investor education and targeted real estate marketing, fundamentally transforming the sector’s dynamics.

Unlike previous studies, the research uniquely integrates human cognitive behaviour theories from psychology and business studies, specifically in the context of residential property investment. This interdisciplinary approach offers a more nuanced understanding of investor behaviour.

This paper aims to explore the impact of COVID-19 on office space in Johannesburg. This study further explores the role of changing work practices in the office sector in South Africa because of the pandemic and its impact on future office space use planning and management.

To understand the footprints that the COVID-19 pandemic has left on the office space market in Johannesburg, this study uses semi-structured interviews, which were administered to corporate office users, and a thematic analysis was adopted to understand the views, perspectives and expectations of office users.

The study showed that space users perceive COVID-19-induced remote working as having benefits, opportunities and challenges. A notable shift in office space utilization has emerged, with employees increasingly opting for roles that permit remote work. This newfound flexibility, accommodating both on-site and remote work, often makes working from home more appealing than traditional office environments that may no longer align with users’ preferences for office spaces.

The study is limited to Johannesburg, South Africa, and may not apply to other African markets. Ten in-depth interviews were conducted, and analysis and results were deduced; this may be considered a limitation of this study.

The pandemic’s impact has brought about irreversible changes, compelling policymakers and business leaders to strategize and prepare. This proactive stance aims to prevent avoidable challenges for employees and companies during future pandemics. A thoughtful approach to the post-pandemic world can usher positive changes in the office and property sector. This includes the coexistence of both remote work and on-site working models.

This paper provides valuable insight into some of the outcomes of the COVID-19 pandemic in South Africa that are essential for future office space use planning and management. The insights from this study extend the literature and provide novel knowledge based on an office sector in the “global south.”

Corporate Social Responsibility (CSR) reporting has been widely accepted as a vital tool for communicating with stakeholders on a range of social, environmental, and governance issues, but how companies define, interpret, apply, integrate, and communicate their CSR efforts and impacts in corporate reporting is anything but a straightforward task. The purpose of this chapter is to explore the concept of materiality in CSR reporting and demonstrate practical examples of good CSR and Sustainable Development Goals (SDGs) reporting practices. We chose the aviation industry because of its economic relevance, constant growth, and future expected changes in the aftermath of COVID-19. In addition, airlines affect many of the SDGs directly and indirectly with contending results. This chapter is timely because of the growing willingness by companies to integrate CSR and environmental, social, and governance (ESG) thinking into the corporate strategy and business operations using materiality assessment and enhancing their competitive advantage and ability to maintain long-term value and because ESG and ethical investing have become part of the mainstream investing. Thus, this chapter contributes to an understanding of the wide range of existing and new reporting frameworks and regulations and reinforces the importance of discussing how this diversity of approaches can affect the work toward worldwide comparability of CSR and sustainability reporting.