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Drawing on the structural hole-bridging perspective of network theory, this paper aims to examine the adaptation strategies undertaken by housing industry actors following the recent pandemic.

A qualitative case study was adopted as the research methodology for this research. Data collected through online interviews involving 20 participants was used as primary data, while document analysis (both online and printed documents) was used as secondary data. The interviews were guided by the visual vignette method.

This study’s findings indicate that a health-based crisis like COVID-19 triggers housing developers to act outside their comfort zones. They undertake arbitrage and collaborative brokerage strategies to cope with business uncertainties. This study revealed the contextual embedding of the owner-occupier market (consumer market) and the investor market (business market). This study also revealed that firms that aggressively located structural holes and built new relationships in B2C and B2B markets before the COVID-19 pandemic were well-equipped to face turbulent times.

The innovative strategies that housing developers adopt are transferable and applicable to other industries and countries. Therefore, awareness of these strategies is essential for industry practitioners, especially those badly hit by health-based crises.

To the best of the authors’ knowledge, this is the first empirical study that combines relationship management, structural holes, the housing market and their implications for crisis adaptation. This study examined the grossly understudied phenomenon of demand for housing, which is a durable good, during a turbulent time. The findings of this study provide beneficial guidance for firms, buyers and policymakers facing COVID-19 and/or other similar crises.

The purpose of this paper is to examine the effect of visual technology on the price discovery process in listings of residential properties in Singapore from 2015 to 2018.

The authors empirically model the effects of 360 virtual tours and drone video on four dimensions in price discovery – buyers’ arrival rate, sale probability, transaction prices and time-on-market – using a comprehensive data set for the residential properties in Singapore.

The analysis shows that the availability of virtual tours or drone video in a listing increases the arrival rate from potential buyers, the probability of a successful sale and the selling price. These findings are consistent with the hypothesis that technologically enhanced tools improve the quality of information and the marketability of property. However, listings with virtual tours tend to be associated with longer marketing time, which is consistent with the prediction of the information overload hypothesis.

This paper extends the housing and price discovery literature by examining how technologically enabled new information affects property transactions.

To the best of the authors’ knowledge, this is the first paper to consider the impact of drone video on property market outcome.

Trade centers are operationally run by a property manager as a delegate of the property owner. The dimensions of service quality (SERVQUAL), which include tangibles, assurance, empathy, reliability and responsiveness, are vital to be implemented as the duties of property managers when providing service to tenants to maintain tenant satisfaction and property reputation. This study aims to understand the effects of the SERVQUAL dimensions, the role of property management and the quality of rental value on tenant satisfaction and property reputation.

The sample was gathered using the purposive sampling technique with the criteria of being a tenant and kiosk owner in trade center properties in Surabaya. Data were gathered using questionnaires, from which 100 respondents were acquired. It was then analyzed using the partial least square structural equation model (SEM) in the SmartPLS 3.0 program to test the hypothesis.

The results of this study prove that the SERVQUAL dimensions – assurance, empathy and responsiveness – significantly influence tenant satisfaction with the mediating variable of the role of property management. Moreover, the SERVQUAL dimensions – empathy, reliability and responsiveness – significantly influence property reputation with the mediating variable of the role of property management.

Property managers are expected to proactively map out different service measures related to the dimension of satisfaction by conducting service training programs for their employees. In fact, in the post-pandemic period, property managers require new marketing strategies, such as leaseback, to effectively carry out renovations of the trade center’s public facilities and restructure the tenant mix.

Trade centers as trading areas experience management limitations because of the prohibition of mass gatherings during the COVID-19 pandemic, resulting in a limited number of onsite trading. Tenants who have entered into a long-term contract experience loss and rely on the aid of property management to survive. The role and quality of service of property management influence tenants’ satisfaction post-COVID-19 pandemic.

Investors often utilize brokers to assist them in property acquisitions. These brokers are compensated through a cooperative commission, or bonus, that is publicized on the listing service. The purpose of this paper is to determine the relationship between advertised compensation packages and selling price, time-on-market and listing characteristics.

To examine variables likely to influence earnings of the buyers' broker, this study utilizes multiple and logistic regressions. Given the range of prices found in the 196,276 listings, the data was sorted on listing price and then split into ten, approximately equal, deciles.

The explanatory power of models with cooperative commission as the dependent variable was highest in the lowest deciles with type of financing, size and distressed status being highly significant. When comparing list- to selling price the average was 96.1%. As cooperative commission increased, the higher priced parcels sold at a higher price relative to list price. This potentially justifies higher cooperative commissions or exemplifies the principal-agent problem where effort is based on potential earnings. Fixed bonuses were used predominately for parcels under $62,234, likely to provide a minimum earnings amount. However, surrounding the median, it seems they may differentiate a property.

This research provides insight for practitioners on the impact of different variables, including cooperative commissions, on sale price and time-on-market. For example, cooperative commission increased for properties in the outer deciles implying that agents may be compensating for suspected difficulty. Additionally, the seasonality findings imply that agents can determine when to list and when to provide a fixed bonus to solicit attention. Results also suggest that practitioners will find it beneficial to market at an appropriate price rather than list high to create negotiating room.

This paper follows only one paper that covered a similar topic. However, this paper uses twenty years of multi-unit property listings from a major US city from 1996 to 2015. The focus on multi-unit properties is an effort to focus on a more sophisticated group of buyers that may be more experienced and make decisions more rationally.

The rising concern for the accuracy of residential valuations in Nigeria has created the need for key stakeholders in the residential property markets in the study areas to know the level of accuracy of valuations in order to make rational residential property transactions, amongst other purposes.

A blend of descriptive and causal designs was adopted for the study. Data were collected via structured questionnaire administered to 179 estate surveying and valuation (ESV) firms in the study areas using census sampling technique. Analytical techniques such as median percentage error (PE), mean and relative importance index (RII) analysis were employed in the analysis of data collected for the study.

The study found that valuation accuracy is greater in the residential property market in Abuja than in Minna, with inappropriate valuation methodology as the most significant cause of valuation inaccuracy.

The practical implication of this study is that a reliable databank should be established for the property market to provide credible transaction data for valuers to conduct accurate valuations in these cities. Strict enforcement of national and international valuation standards by the regulatory authorities as well as retraining of valuers on appropriate application of valuation approaches and methods are the recommended corrective measures.

No study has comparatively examined the accuracy of valuations in two extremely different residential property markets in the country using actual valuation and transaction prices.

By comparing regression models, this study aims to analyze the added home value of green sustainability features and green efficiency characteristics, rather than green certifications, in the city of Austin.

The adoption of home green energy efficiency upgrades has emerged as a new trend in the real estate industry, offering several benefits to builders and home buyers. These include tax reductions, health improvements and energy savings. Previous studies have shown that energy-certified single-family homes command a premium in the marketplace. However, the literature is limited in its analysis of the effects of green upgrades and certification on different types of single-family homes. To address this gap, this research collected data from 21,292 multiple listing services (MLS) closed home-selling listings in Austin, Texas, over a period of 35 months.

The analysis results showed that green efficiency features could generally increase single-family housing prices by 11.9%, whereas green sustainability upgrades can potentially bring a 11.7% higher selling price. Although green housing certification did not have significant effects on most housing groups, it did increase closing prices by 13.2% for single-family residences sold at the medium price range, which is higher than the impacts from simply listing the green features on MLS.

The study contributes to the body of knowledge by examining the market value of broadly defined energy efficiency and sustainability features in the residential housing market. The findings can help policymakers, brokerage firms, home builders and owners adjust their policies and strategies related to single-family home sales and mortgage approvals. The research also highlights the potential benefits of capitalizing on green housing features other than certifications.

This study aims to examine the influence of condominium attributes on resident satisfaction and word of mouth from the perspectives of the elderly in Thailand.

Data were collected from 338 elderly residents through a questionnaire survey and analysed by using descriptive statistics and structural equation modelling procedures.

The results showed that the strongest predictor of resident satisfaction was design functionality, followed by social environment, safety and security and service quality. In addition, the strongest predictor of word of mouth was safety and security, followed by design functionality, proximity, service quality and social environment.

The data were drawn at the level of the overall characteristics of elderly residents. People may be different in terms of their demographic characters such as gender, age, and user experience.

The study suggests that condominium developers and designers should pay attention to design functionality both physically and mentally such as suitable materials, lighting and common areas. Moreover, the developers should focus on the proximity of the nearest hospitals, safety and security measures, well-trained security personnel and social activity arrangement.

Elderly condominium markets are increasingly growing as a result of the ageing society in Thailand. However, very few empirical studies investigate condominium attributes that affect resident satisfaction and word of mouth provided by real estate developers. The paper aims to determine driving factors that enhance the better well-being of elderly residents.

This paper examines the effects and root causes of client influence within the valuation profession in Kenya.

This study adopted a mixed research design incorporating a survey and experiment of registered and practising valuers in Kenya and interviews of key informants from registered and practising valuers, valuers' clients (commercial banks) and professional bodies.

The study found that client influence negatively impacts the valuation profession, contributing to inaccurate valuation outcomes, and it exists because of the valuation environment, represented by limited and unreliable information in Kenya and many other developing countries.

This study makes a critical contribution to the empirical literature as it introduces new insights into the impacts and causes of client influence by demonstrating how the valuation environment, characterised by poor information, contributes to client influence in Kenya, which is typical of many other developing countries.

Pre-letting and pre-sale financing arrangements have been widely adopted to increase housing delivery in the developed economy. Despite the increasing level of adoption in some developed countries, some are reverting to spot property buying because of factors militating the adoption of pre-letting and pre-sale financing. However, little has been done on the factors influencing the adoption of these trust-based financing arrangements in the developing economy where there are challenges of trust and market transparency.

Using a closed-ended questionnaire, 87 property development companies (PDCs), which constituted 63.5% of the 137 PDCs in Lagos metropolis, were sampled. Variables that influence adoption of pre-letting and pre-sale financing arrangements were presented to respondents for rating on a five-point Likert scale, ranging from 1 (not influential) to 5 (very highly influential). With the aid of SPSS software, acquired data were analysed using principal component analysis (PCA), mean rating and standard deviation.

The PCA finding revealed that factors influencing the adoption of pre-letting and pre-sale financing had 69.641% total variance. Top-rated components were fear of financial risk and firm’s reputation and poor government involvement and contractors' credibility, with 15.114% and 11.895% variances, respectively. The study findings suggested that the buyers' apprehension regarding the transfer of financial risk and the reputation of the firms significantly influence their decision to embrace both arrangements. As a result, the buyers' willingness to engage the financing arrangements is reduced, which consequently imparts adoption negatively. Furthermore, there is worrisome lack of government involvement, a crucial aspect for the success of such arrangements.

Pre-letting and pre-sale financing arrangements are found to be highly suitable for environments where there is trust. The findings enlighten the development firms on the need to uphold their reputation, as buyers attach great significance to the credibility and integrity of the companies they engage in business.

This paper is one of the few attempts that have sought to explore the factors influencing pre-letting and pre-sale financing arrangements in an emerging market like Nigeria.

Aritificial intelligence (AI)-focused enterprises purpose to provide value-creating and differentiated products and services using innovative technologies. For this reason, it is aimed to examine the effects of value creation, intellectual property and organizational creativity variables to make evaluations to increase the success of such enterprises.

Random sampling method was used in the research. The population of the research consists of AI-oriented enterprises in technoparks. On the specified days, short-term visits and surveys were conducted face-to-face. Name and similar personal information was not taken in the research and participation was made on a voluntary basis. A sample size of 500 units is a sufficient size at the 0.05 significance level. SmartPLS (4.0.8.4) licensed software was used in the research.

As a result of the collected data, it has been supported by hypotheses that value creation, intellectual property and organizational creativity have positive effects so that artificial intelligence-oriented enterprises can be successful in performance criteria.

Since the research was conducted by collecting data from artificial intelligence-oriented enterprises in technoparks in Istanbul, it would not be correct to evaluate the analysis results by making generalizations. For this reason, it is recommended that similar studies planned to be conducted in the future should contribute to the literature by developing the research model, taking into account the limited situation in the sample.

According to the results of the analysis of the effects of value creation, intellectual property and organizational creativity in artificial intelligence-oriented enterprises, in order to increase the success of such enterprises, they should offer more value to their customers, protect their technologies and increase their innovation capacity.

Value creation, intellectual property, and organizational creativity in AI-focused enterprises are important topics in a rapidly growing industry such as AI-focused enterprises. Therefore, a research investigating these variables together offers a different perspective than previous studies.