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Many studies have analysed the impact of various variables on the ability of companies to raise capital. While most of these studies are sector-agnostic, literature on the effects of macroeconomic variables on sectors that established over the last 20 years like property technology and financial technology, is scarce. This study aims to identify macroeconomic factors that influence the ability of both sectors and is extended by real estate variables.

The impact of macroeconomic and real estate related factors is analysed using multiple linear regression and quantile regression. The sample covers 338 observations for PropTech and 595 for FinTech across 18 European countries and 5 deal types between 2000–2001 with each observation representing the capital invested per year for each deal type and country.

Besides confirming a significant impact of macroeconomic variables on the amount of capital invested, this study finds that additionally the real estate transaction volume positively impacts PropTech while the real estate yield-bond-gap negatively impacts FinTech.

For PropTech and FinTech companies and their investors it is critical to understand the dynamic with mac-ro variables and also the real estate industry. The direct connection identified in this paper is critical for a holistic understanding of the effects of measurable real estate variables on capital investments into both sectors.

The analysis fills the gap in the literature between variables affecting investment into firms and effects of the real estate industry on the investment activity into PropTech and FinTech.

Due to the young age of proptech, little is known about the dynamics of its expansion. In particular, there is limited agreement about a definition of “proptech,” while different categorizations are popping up. A severe lack of information emerges for the proptech scenario in Italy. The goal of this paper is to systematize multiple proptech maps in the attempt to create a framework for comparison of country-specific trends and an overarching definition of proptech. The research examines the evolutionary stage of the Italian digital real estate sector and compares it to the international context.

An in-depth analysis of 12 proptech maps at both national and international level was conducted based on online research. A list of Italian proptech companies was composed through multiple methods. A map was built for a cross-country comparison.

Each country or organization tends to develop its own categorization. This creates a multifaceted context where comparison and analysis are challenging. The Italian proptech sector seems underdeveloped compared to neighboring countries. Big room for improving the proptech business in this country still exists.

The results are valuable for proptech start-ups, business investors and well-established real estate actors to build on new entrepreneurial initiatives. The opportunity to advance proptech mapping and categorization emerges as a prospect for future research.

This research adds an overview of cross-country proptech categories and proposes the first analysis of Italian proptech. This will contribute to support entrepreneurial opportunities.

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.

With the increased demand for the application of technology in property activities, there is a growing need for property professionals adept in using digital technology. Hence, it is important to assess the competence of academia in equipping property professionals with digital technology skills. This study, therefore, assesses property academics in Australian universities to identify their level of knowledge and use of digital technology applicable to the property industry.

Online questionnaire surveys were administered to 22 out of 110 property academics contacted through the Australia Property Institute (API) database to achieve this aim. The collected data were analysed using mean score ranking and ANOVA.

The study found that apart from databases and analytics platforms such as Corelogic RP data, price finder and industry-based software such as the Microsoft Office suite and ARGUS software, the academics were not knowledgeable in most identified and sampled proptech tools. Similarly, most proptech tools were not used or taught to the students. It was also found that early career academics (below five years in academia) were the most knowledgeable group about the proptech tools.

Relying on the API database to contact property academics potentially excludes the position of property academics who may not be affiliated or have contacts with API, hence, the findings of this study should be generalised with caution.

The study bears huge implications for the property education sector and industry in Australia; a low knowledge and use of nascent tools such as artificial intelligence, machine learning, blockchain, drones, fintech, which have received intense interest, reveals some level of skill gap of students who pass through that system and may need to be upskilled by employers to meet the current day demand.

In response to the clamour for technology-inclined property professionals, this paper presents itself as the first to assess the knowledge levels and application of digital technology by property academics.

Digital and information technologies (IT) are becoming silently pervasive in old-fashioned real estate markets. This paper focuses on three important avenues for the diffusion of IT in commercial real estate: online brokerage and sales, the commoditization of space and Fintech in mortgage and equity funding. We describe the main new markets and products created by this IT revolution. The focus is on the pioneering US market, with some attention devoted to the specific firms and institutions taking these innovations into the mainstream. We also carefully analyze the economic underpinnings from which the new technologies can expect to generate cash flows, thus becoming viable—or not. Finally, we discuss their likely impact on established players in the commercial real estate arena.

In this paper, the author chooses to focus on three separate arenas where the IT revolution—sometimes referred to as Proptech, as applied to real estate—is having discernible impacts: sales and brokerage, space commoditization and online finance platforms. The author invites the reader to think seriously about the economic fundamentals that may—or may not—sustain new business models in Proptech. Real estate economists and investors alike need to be critical of new business models, especially when they are being aggressively marketed by their promoters. Trying to avoid any hype, the author provides thoughts about the likely impact of the innovations on their markets, guided by economic and finance theory, and previous experience.

The author evaluates the evolution of commercial real estate brokerage. While innovations will, no doubt, have an impact on the ways in which we buy and lease commercial properties, the lessons from the housing market should make us skeptical about the possibility of the new technologies dramatically facilitating disintermediation in this market. In fact, new oligopolies seem to be emerging with regard to market data provision.

Proptech will change some aspects of the real estate industry, but not others!

As change pervades the property industry, only a relatively few research pieces are illustrating or—more importantly—providing insights about the likely economic and financial impacts of IT penetration. Similarly, only a few papers have so far addressed the economic viability of the alternative business models of tech startups targeting real estate markets and transactions.

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.

This study presents a structured investigation of the most important causes for delay in commercial real estate transactions. It assesses the potential of digital technologies such as “Blockchain”, “Property Passports” or “Automated Valuation Models” to make transactions faster and cheaper.

The authors conduct a focus group interview to identify the individual steps and the parties involved in real estate transactions. Subsequently, the authors discuss the prospects of digital technologies based on semi-structured interviews with real estate professionals and PropTech executives, and a comprehensive screening of technological solutions offered by PropTech firms.

The lack of an up-to-date, single pool of standardised property information turns out to be the most critical cause for delay in real estate transactions. However, the most promising technologies to mitigate this problem, in particular digital property passports summarising all relevant building information, face substantial barriers to adoption. The real estate industry has so far not been willing to more openly share data, which is a pre-requiste for the successful introduction of property passports. In addition, the principle of caveat emptor makes a lengthy due diligence process essential for buyers.

The authors conclude that industry-wide collaborations are necessary to help major efficiency gaining technologies to break through. Insurance products should accompany property data log books to guarantee the quality of data provided.

This study considers the potential impact of technologies in the wider context of the complete real estate transaction process. It identifies the major phases of that process and the associated bottlenecks. The authors gather evidence both from industry experts and PropTech executives and contrast their views regarding the potential of digital technologies to remove those bottlenecks.

Industry 4.0 recognizes a broad set of technologies that rapidly redefine industry, including real estate. These broad technologies include the Internet of things (IoT), cloud computing, decision automation, machine learning and artificial intelligence. This paper explores applies Industry 4.0 to commercial real estate, resulting in a framework defined here as Real Estate 4.0, a concept that encompasses fintech and proptech.

This research paper examines Industry 4.0 technology to construct a framework for Real Estate 4.0. We also focus on how the COVID-19 pandemic is accelerating proptech, particularly as it relates to getting employees back into their traditional work environments.

As a research paper, this is not a traditional research project with empirical findings. It is a primer on how the rapidly changing technologies of Industry 4.0 are now disrupting and transforming real estate today into what we are calling Real Estate 4.0.

Practitioner insight and future research are informed by a framework for Real Estate 4.0 drawn from the technologies of Industry 4.0. Additional implications are outlined for practical, systemic change as a result of the COVID-19 pandemic within the scope of Real Estate 4.0 technology.

This is a combined effort by experts in three contributing disciplines: systems science, planning and real estate. Our intent is to provide a primer for those of us in the latter two fields so that we can embrace the rapidly changing built environment landscape as it adjusts and adapts to a post COVID-19 environment that will be critical to maintain real estate investment values and enhance the real estate user's experience.

Technological disruption has transformed the traditional ways of doing business in the real estate sectors. As a result of the new business realities, technology has become an integral part of the real estate business. However, due to the significant barrier to the incorporation of the technology among modern real estate start-ups, there is a need to assess the adoption and willingness to use property management software.

The study employed an exploratory research design. The study adopts a total enumeration of real estate start-up firms in Lagos, Nigeria, to ensure true representations among the respondents and reduce sampling errors. The data obtained were analyzed using descriptive and inferential statistics.

The study revealed that the majority of the respondents are aware of the identified property management software but tenant verification software recorded the highest level of awareness and usage. The finding also revealed that the association between the availability of staff competence, practicality of the software, ease of use, data ownership and copyright, financial resources, future-proof technology track, Internet connection, perceived benefits and productivity and branding are statistically significant in influencing the level of adoption among the respondents.

The researchers had initial challenges with the attitude of respondents to willingness and timely disbursement of information which was later resolved by explaining the significance for the study. The findings of the research will be useful and serve as an eye opener to practitioners, the conventional real estate surveying and valuation firms, to relevance of software technology in enhancing their operations and efficiency, while it can also boost the academic curriculum.

The knowledge about the adoption of property management software will equip real estate tech start-ups with the right information.

The paper is significant because the ultimate goal of this study is to document the empirical investigation on the level of adoption and application of emerging software among real estate tech start-ups in the Nigerian property market to facilitate the efficiency and delivery of property management services.

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.