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The sharing economy enables apartment owners to generate income from their assets. “Agoda Homes” is an online travel agent (OTA) that directly competes with Airbnb. A destination has to discover its competitiveness, but few studies have provided an overview of accommodation attributes in each destination, which are crucial to shaping its brand image. This paper aims to illustrate firm-generated content or attributes that apartment owners list about their properties on an OTA platform to comprehend factual information about apartments in each destination with various star ratings and user ratings and to formulate a research model for future studies.

Informational content and accommodation attributes for apartments are automatically collected using a Web scraping tool (the Data Miner). Descriptive statistics and text analysis (word cloud and word frequency) are used to analyze data.

Findings reveal the primary location, facilities, cleanliness and safety attributes for all apartments in each destination, along with star ratings and user ratings. A research framework for scholars is also suggested. Guidelines for stakeholders in the tourism industry are additionally furnished.

This work concentrates on apartments, which have received less attention in the tourism literature. The study gathers factual data from a website to mitigate respondent bias issues inherent in the traditional survey methods.

This paper aims to explore factors influencing apartment price volatility in the two biggest cities in Vietnam, Hanoi and Ho Chi Minh City.

The study uses the supply and demand approach and provides a literature review of previous studies to develop four main hypotheses using four determinants of apartment price volatility in Vietnam: gross domestic product (GDP), inflation rate, lending interest rate and construction cost. Subsequently, the Vector Error Correction Model (VECM) is used to analyze a monthly data sample of 117.

The research highlights the important role of construction costs in apartment price volatility in the two largest cities. Moreover, there are significant differences in how all four determinants affect apartment price volatility in the two cities. In addition, there is a long-run relationship between the determinants and apartment price volatility in both Hanoi and Ho Chi Minh City.

Limitations related to data transparency of the real estate industry in Vietnam lead to three main limitations of this paper, including: this paper only collects a sample of 117 valid monthly observations; apartment price volatility is calculated by changes in the apartment price index instead of apartment price standard deviation; and this paper is limited by only four determinants, those being GDP, inflation rate, lending interest rate and construction cost.

The study provides evidence of differences in how the above determinants affect apartment price volatility in Hanoi and Ho Chi Minh City, which helps investors and policymakers to make informed decisions relating to the real estate market in the two biggest cities in Vietnam.

This paper makes several recommendations to policymakers and investors in Vietnam to ensure a stable real estate market, contributing to the stability of the national economy.

This paper provides a new approach using VECM to analyze both long-run and short-run relationships between macroeconomic and sectoral independent variables and apartment price volatility in the two biggest cities in Vietnam.

This study aims to explore the impact of decentralized long-term rental apartments on the value of in-community housing from two perspectives of housing price and rent.

This study uses the hedonic model to identify the factors affecting the housing value, and the influence of distributed long-rented apartments on the housing value in the community is analyzed from two aspects of housing price and rent by using the ordinary least square method and propensity score matching method.

The primary finding indicates that decentralized long-term rental apartments increase housing prices while decreasing general rental housing rents in the community, with the average degree of increase ranging from 0.93% to 2.59% and the average degree of decrease ranging from 2.23% to 4.34%. According to additional research, the prices of houses within communities rise by 0.042% for every 1% increase in the share of decentralized long-term rentals, while the rents for other types of rental property fall by 0.162%.

The government can regulate the housing market by regulating the access and layout of distributed long-rent apartments.

The findings of this study indicate that the existence and share of distributed long-rent apartments have a heterogeneous impact on the housing price and rent in the community, respectively.

Virtual reality (VR), as a new type of media technology, significantly improves the audience experience with product presentation in the marketing communication field. The apartment rental market, particularly in China, has no exception in adopting VR technology in its communication strategy. VR usage has been boosted since the outbreak of COVID-19 and has become a widespread application in the global apartment rental market. Although extant studies have analyzed how real estate companies use VR technology to enhance customer experience, few studies have been made to explore the power of VR in apartment rental advertising, particularly in targeting the youth in China market. To fill this research gap, this study aims to figure out how young consumers perceive VR advertising and characteristics of VR used in apartment rental advertisements, and how VR advertising affects young consumers’ intentions to rent an apartment.

A cross-sectional survey was conducted in 2021 with 301 Chinese university students aged 18 to 23. All respondents were invited offline and guided to watch one selected rental advertisement with VR technology featuring an apartment of about 50 square meters and then complete a questionnaire.

VR’s media richness in the apartment rental advertising increases its sense of presence perceived by the survey respondents. Both VR’s media richness and sense of presence positively influence respondents’ attitudes toward the advertised apartment. If respondents evaluate the advertised apartment positively, they are more willing to rent the advertised apartment.

The sample size is not large enough to represent all Generation Z consumers in China. The use of the nonprobability sampling method also limits the generalizability of the study results.

To counter the challenges created by COVID-19, apartment rental service providers and apartment owners/landlords are suggested to enhance the application of VR technology to the apartment rental advertisements to grow young consumers’ interest in the advertised apartments and even their renting intention.

To the best of the authors’ knowledge, this is the first quantitative study to assess young consumers’ responses to VR apartment rental advertising in China.

This study examines the motivational forces of self-transcendence and self-enhancement values in consumers' green apartment purchase intention since the values have been seen as the key determinants of environmental beliefs and concerns that motivate pro-environmental behaviour adoption amongst consumers regardless of external barriers. Additionally, this study identifies the role of environmental content in strengthening the effects of self-transcendence value.

Survey data were collected from 234 residents of three high-rise apartment buildings in Hanoi, Vietnam. Measure reliability and validity were tested by confirmatory factor analysis (CFA) before hierarchical ordinal least squares regression (OLS) was conducted to test the hypotheses.

The research results reveal a significant positive relationship between self-transcendence value and consumers' green apartment purchase intention. However, environmental problem-related content exposure was found to weaken the effect of self-transcendence value on the purchase intention whilst the effect was reported to be strengthened by pro-environmental action-related content exposure.

Theoretically, this study emphasizes the importance of interaction effects between external factors and personal values in explaining consumer's decisions and behaviours. Practically, the research results provide valuable insights for marketers and developers into fostering the adoption of green building apartments amongst consumers.

The purpose of this paper is to determine the most significant factors influencing apartment values in Nairobi Metropolitan Area (NMA), Kenya and develop a valuation model using the identified variables. The paper is thus promoting the adoption of advanced, more reliable and accurate valuation methods in developing economies such as Kenya. Therefore, the paper demonstrates the potential of the hedonic pricing method (HPM) in property valuation by making objective adjustments to comparable sales data.

The paper utilizes a case study design by analysing recent (January 2020 to December 2021) apartment sales and apartment attributes in NMA. A sample size of 264 transactions was analysed using the HPM.

The study identified six significant factors affecting apartment values in the study area: apartment size, location, floor finishes, provision of shopping facilities, swimming pool and gym. A valuation model has been developed using the six variables.

The paper is contributing to the ongoing global debate on the accuracy, reliability and validity of property valuations with particular emphasis on the developing economies to adopt the more accurate, efficient and reliable valuation approaches.

The findings are useful to property valuers and estate managers in determining the most statistically significant attributes affecting apartment values in the NMA hence enabling them to offer informed professional advice. However, the findings of the study are limited to the study area since real estate is heterogeneous.

Property investors, financiers and other stakeholders in the society will benefit from the findings of this study in their decision-making process. Additionally, wide adoption of the more reliable and accurate valuation approaches would foster public confidence in valuation and estate management professional services leading to enhanced consumption of these services by the society and promoting public care.

The paper is promoting valuation accuracy, efficiency and reliability in the developing economies by advocating for advanced valuation methods. It is the first attempt to develop a valuation model for apartments in the NMA, the capital city of Kenya and the business hub of East and Central Africa.

The purpose of this paper is to analyze the social and functional features of micro-apartment and, based on the findings, to demonstrate the projects of modern micro-apartment designed for one or two people, which are implemented in the experimental design.

Based on the analysis of the study of theoretical scientific works on the research topic and from the standpoint of an interdisciplinary discourse the social and economic prerequisites for the demand for such a dwelling are determined and the categories of citizens for whom a micro-apartment is an advantage are identified. Particular attention is paid to the typological boundaries of the study, the generalization and synthesis of sources which is reflected in identifying the features of the functional zoning of a micro-apartment in connection with the needs of residents and determining modern ways to improve the comfort of living.

At the examples of experimental design of micro-apartment for the city of Almaty we substantiated the expanding the existing typology of residential buildings by adding a new type of urban dwelling – a micro-apartment which occupies a niche between apartment housing for permanent residence and traditional hotels.

The content of the study is devoted to the analysis of a micro-apartment as a new type of modern urban dwelling for a single and small-family population. Urban residents’ interest in economical, affordable small-area dwellings as well as the need to study and design micro format dwellings for the modern urban environment is a topical issue.

Increasing overhang of serviced apartments poses a serious concern to the national property market. This study aims to examine the impacts of macroeconomic determinants, namely, gross domestic product (GDP), consumer confidence index (CF), existing stocks (ES), incoming supply (IS) and completed project (CP) on serviced apartment price changes.

To achieve more accurate, quality price changes, a serviced apartment price index (SAPI) was constructed through a self-developed hedonic price index model. This study has collected 1,567 transaction data in Kuala Lumpur, covering 2009Q1–2018Q4 for price index construction and data were analysed using the vector autoregressive model, the vector error correction model and the fully modified ordinary least squares (OLS) (FMOLS).

Results of the regression model show that only GDP, ES and IS were significantly associated with SAPI, with an R² of 0.7, where both ES and IS have inverse relationships with SAPI. More precisely, it is predicted that the price of serviced apartments will be reduced by 0.56% and 0.21% for every 1% increase in ES and IS, respectively.

Therefore, government monitoring of serviced apartments’ future supply is crucial by enforcing land use-planning regulations via stricter development approval of serviced apartments to safeguard and achieve more stable property prices.

By adopting an innovative approach to estimating the response of price change to supply and demand in a situation where there is no price indicator for serviced apartments, the study addresses the knowledge gap, especially in terms of understanding what are the key determinants of, and to what extent they influence, the SAPI.

Even as multi-story apartment building development proposals in existing neighbourhoods represent a substantial component of policy debate at local planning boards, there is limited evidence for the impact of such residential developments on surrounding apartment values. This paper aims to address the void in knowledge, and the impact of multi-story apartment building developments on apartment values in residential high-rise areas located outside city and district centres is investigated in Helsinki Metropolitan Area, Finland.

Whether a multi-story apartment building development is followed by an increase in housing values depends on both positive and negative externalities. To specify valuation effects of proximate development projects, advanced research design combining matched sample methodology and hedonic-based difference-in-difference approach is used.

It appears from the analysis that completion of a single multi-story apartment building has an immediate positive impact on apartment values within 300 metre radius, while there is no statistically significant impact on price trend.

This paper studies apartment values only in Helsinki Metropolitan Area, Finland, and it is important to notice that local regulations and market conditions may have a notable impact on the outcomes.

This study is the first of its kind to provide with statistically significant evidence for positive impacts from multi-story apartment building development in Finnish residential high-rise areas and may have a crucial role in helping to dispel prejudices related to such developments.

Much of the research into the development of home within the business literature has looked at home as a setting or a construct instead of as a process. Additionally, extant research has explored the process of homebuilding within the context of homeownership, often defining home in terms of a place that is owned by the individual living in it. However, nearly 30 percent of all housing units in which people live are rented spaces that are owned by others not living there. The purpose of this paper is to examine homebuilding as a process that can and often does occur in properties that the individual does not own.

Using a phenomenological approach, in‐depth interviews with renters lead to the development of a conceptual model of how renters build a sense of “home.”

The paper finds that though ownership does play a part in some individuals' sense of home, apartment dwellers often are able to build a “home” within an apartment context.

Limitations of the research include the small sample size; however, the process resulting from a small size may be used to develop hypotheses for future quantitative research.

The process outlined here may provide apartment communities and managers with insight into how they may retain tenants.

This paper focuses on an understanding of home that removes the notion of ownership from its definition, providing insight into how consumers build a sense of home in places they may not be able to physically alter.