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The first Hong Kong Real Estate Investment Trust (HK‐REIT), the Link REIT, was successfully launched in late 2005. The retail tranche of its initial public offering (IPO) was 19 times oversubscribed, and the IPO is the largest of its kind in the world until now. Despite the initial phenomenon success, there have been only three others to follow and get listed. Indeed, it took Hong Kong over two years to have her first Link REIT listed after the legislation for REIT products had come into force. The development of REIT market in Hong Kong has been slow compared to its counterparts in some other Asian countries. This paper aims to explain the somewhat sluggish growth of the HK‐REIT market. Its development is compared with some emerging Asian markets as well as the more mature markets in the USA and Australia. The study is focused on the legislations that govern REITs in different jurisdictions, their different REIT market envi‐ronments and the rationale from the respective governments to introduce their REITs. It is concluded that the sluggish development of HK‐REITs is mainly due to its market environment and industry structure. There is not enough incentive for developers to dispose their assets in the form of REITs. Besides, the HK‐REIT Code was initially criticized by the industry as being too restrictive. Though subsequent amendments on the HK‐REIT Code have been made to make it more conducive to the development of REIT market, further sustainable success will however hinge on the willingness from sponsors, particularly large developers, to offer their portfolios of properties for sale through REITs.

The purpose of this paper is to examine how the real estate owner (decision maker) insures being able to make informed decisions and how they differ according to organisational form.

This research is based on an interview study of nineteen firm representatives, six decision makers and thirteen management representatives, all from Swedish commercial real estate sector.

The study concludes that, regardless of organisational setting, the industry has a plan regarding handling information. The decision makers have all secured themselves access to the required/desired information. How this is done and what kind of information it is however differ, if the real estate management is in-house or outsourced. Furthermore, a clear focus on financial and contractual information is evident in both organisational settings.

The research in this paper is limited to Swedish commercial real estate sector.

The insight the paper provides regarding required information can shed light on how information systems are built and how to improve your information sharing.

It provides an insight regarding how the industry, depending on organisation setting, prioritises different information and how the decision maker secures access to it.

The real estate industry is known as a late adopter when it comes to changes and innovations. While the industry is slowly evolving, parts of the sector are increasingly being conquered by property-related start-ups, known as “PropTechs”. These companies offer solutions and cutting-edge technologies to increase efficiencies and solve industry-wide problems. However, little is known about these companies' survival. This paper analyses the survival rate of PropTech firms and the determinants.

Based on a sample of 1,052 firms, factors that influence the firms' survival rate are analysed using the Cox Proportional Hazards Model, which is expanded with non-linear splines to capture turning points in the survival.

The authors find that in addition to the size, financing condition plays the most critical role in the success of Prop-Tech firms, including the number of financing rounds and maximum number of investors over lifetime. Moreover, the relationships are non-linear. Founding years and technology focus can also statistically influence the success rate. Companies founded before 2008 focussing on Sustainability Technology, Data and Business Analytics, Real Estate-related FinTech and Visualisation show the highest success rates.

The results are critical for investors interested in PropTechs to understand the success of their investments better. The importance of financing conditions shows that both investors and PropTechs may benefit from better financing processes that provide funds in a timelier manner.

The authors exploit a new and comprehensive data set that includes over 6,000 PropTechs globally. The authors' study fills in the literature gap on the determinants of the survival rate of PropTechs.

Property management in commercial real estate (CRE) is an important operational function that needs to be managed because it brings large cost implications to the organization. As India aspires to become a developed real estate market, analysis of the growing importance of automating property services and technology acceptance by stakeholders are two key concerns that need to be explicitly addressed. This study aims to examine the extent of property technology (PropTech) adoption in India and propose a technology-enabled stakeholder management model in Indian CRE.

The research is qualitative in nature and follows the grounded theory approach. Research data were collected by conducting a series of semi-structured interviews with 18 property management professionals from different prominent Indian companies using PropTech.

The findings suggested the nine most typical automated property management functions in Indian CRE. The result of this research is the automated property services model for stakeholder management in CRE. The model demonstrates the value of implementing technology in property services in India.

The study provides useful insights into how artificial intelligence (AI) in property management can be applied to address property-related challenges, various stakeholder needs and improve property performance in accordance with energy efficiency policies.

This paper attempts to add to the limited body of literature on technology in the property management domain. The model demonstrates how automated property services meet the needs of different stakeholders in CRE and provides remote working procedures within the COVID-19 pandemic context.

The purpose of this paper is to investigate client influence on mortgage valuation in Nigeria to establish and rank the means of influence clients employ, and the impact of firm characteristics on client influence.

A combination of cross-sectional survey and focus groups research designs was adopted. Questionnaire structured on five-point Likert format was used to collect data from a sample of valuation firms in five Nigerian cities. Descriptive statistics, χ2, and moderated hierarchical linear model were used for data analysis.

Clients’ means of influence on valuation are more of subtle approach than threat or coercion. The most prevalent means are respectively, plea for assistance, promise of continued retainership on banks’ valuer panels, and disclosing the loan amount. Client influence differs across cities; firm characteristics have no influence on client pressure.

The research provides basis for valuation bodies to review practice rules and standards and seek for legislation for valuer independence. It can serve as material for teaching and training in professional ethics.

Biased valuations jeopardises credit risk mitigation process with potential for destabilising banks, finance sector, and consequences for the economy.

The study provides empirical evidence of the nature of client influence across several major Nigerian cities. In contrast to existing Nigerian studies that focus on single cities, the study covers several cities. It therefore provides a broad basis for problem-solving and decision-making.