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This paper aims to develop a house price forecasting model to investigate the impact of neighbourhood effect on property value.

Multi-level modelling (MLM) method is used to develop the house price forecasting models. The neighbourhood effects, that is, socio-economic conditions that exist in various locations, are included in this study. Data from the local government area in Greater Sydney, Australia, has been collected to test the developed model.

Results show that the multi-level models can account for the neighbourhood effects and provide accurate forecasting results.

It is believed that the impacts on specific households may be different because of the price differences in various geographic areas. The “neighbourhood” is an important consideration in housing purchase decisions.

While increasing housing supply provisions to match the housing demand, governments may consider improving the quality of neighbourhood conditions such as transportation, surrounding environment and public space security.

The demand and supply of housing in different locations have not behaved uniformly over time, that is, they demonstrate spatial heterogeneity. The use of MLM extends the standard hedonic model to incorporate physical characteristics and socio-economic variables to estimate dwelling prices.

As public–private partnerships (PPPs) have become preferred and veritable approach to deliver affordable housing, the seemingly lack of understanding of the significant factors that impact on success has become a notable setback. This study aims to delineate significant factors that can support decisions in affordable PPP public housing delivery.

Largely, a questionnaire survey was adopted to elicit insights from practitioners, policymakers and experts to develop an evaluative decision support model using an analytical hierarchy process and multi-attribute utility technique approach. Further, an expert illustration was conducted to evaluate and validate the results on the housing typologies.

The results revealed that energy efficiency and low-cost green building materials scored the highest weighting of all the criteria. Furthermore, multi-storey self-contained flats were found to be the most preferred housing typology and were significantly influenced by these factors. From the model evaluation, the scores on the factors of sustainability, affordability, cultural values and accountability were consistent across all typologies of housing whereas that of benchmarking, governance and transparency were varied.

The decision support factors captured varied dimensions of key factors that impact on affordable PPP housing that have not been considered in an integrated manner. These findings offer objective and systematic support to decision-making in affordable PPP housing delivery.

This paper aims to study the Zabdah housing project residents’ satisfaction on both dwelling and neighborhood levels. In addition, the determinants of residents’ satisfaction are studied.

A mixed methodology approach was used, merging quantitative and qualitative methods. The questionnaire was developed and filled out through structured interviews. Descriptive statistics and multiple linear regression were used to understand the residents’ satisfaction levels. In addition, the chi-square test of independence was used to determine whether demographics and dwelling type were related to residents’ satisfaction.

It was found that the residents’ satisfaction level with Zabdah housing was moderate on both dwelling and neighborhood levels. On the dwelling level, the tiny dwelling areas were a fundamental problem. On the neighborhood level, good neighborhood services were crucial to the success of this project, while the lack of green spaces negatively affected the quality of life of its residents. In addition, the number of family members and dwelling types were critical determinants of residents’ satisfaction.

The findings can be developed into guidelines to govern the creation of better affordable residential environments. Furthermore, the successful dwelling typologies in this project can be modified to be adopted in the future.

To the best of the authors’ knowledge, this is the first study of its kind to explore the relationship of demographics and dwelling type with residents’ satisfaction in affordable housing in Jordan.

This study aims to introduce management students to climate change by providing them with an opportunity to address it in their own lives, through a class exercise.

An in-class exercise was designed, carried out and described in this study. Student teams were assigned different questions on how to address major causes of climate change. Each team did research to generate answers, and ranked their answers based on the speed of implementation. Teams reported their answers to the class. The instructor facilitated a debriefing session, during which all responses were ranked with respect to other variables, including cost savings, time savings and lifestyle fit. This exercise uses few resources and can be adapted to different time lengths and teaching/learning formats (e.g. on-ground, virtual, asynchronous online).

This exercise can help students to gain an understanding of climate change and its causes and complexities. Students learn how to implement a diverse set of personal actions to mitigate climate change; these can start in the present and continue throughout their lives. In addition, this exercise may help students to make the leap from individual climate change mitigation practices to organizational and societal practices, when they are in the position to do so as future leaders.

Although classes, exercises, and assignments ask management students to consider issues such as climate change at the organizational level, this individual-level exercise can allow students with limited organizational experience to engage more quickly with climate change and better understand organizational and societal implications in the future. That is, if students first understand how to address climate change in their own lives, they may more effectively transfer and apply that understanding at organizational and societal levels and ultimately synthesize solutions to address climate change in the world.

Companion animals and social media are two important factors of social interaction and well-being among the older population. This study aims to compare social media use and/or having companion animals with respect to sociodemographic variables in conjunction with loneliness, social isolation, depression, satisfaction with life and satisfaction with social support.

This cross-sectional study involves a sample of 250 older community-dwelling adults. The questionnaire comprised sociodemographic, companion animals and social media questions and scales to assess social isolation, loneliness, satisfaction with life and social support and depression. Data were analyzed using descriptive and inferential statistics.

Four groups emerged: “companion animal/s, no social media” (37.6%); “none” (33.6%); “social media and companion animal/s” (14.4%); and “social media, no companion animal/s” (14.4%). Social media users (with or without companion animals) are the youngest and with higher levels of education; caregivers of companion animals (no social media use) are in-between in terms of age and level of education; and those without companion animals and no social media users are the oldest and with less formal education.

This research examines and compares two key influencers of older adults’ well-being and social interaction (social media and companion animals), that have been researched mostly separately. Findings underlined the cohort effect in the use of social media, suggesting that future older adult cohorts will use more social media whether they have or do not have companion animals.

This study aims to understand the socioeconomic impact of flood events on households, especially household welfare in terms of changes in consumption and coping strategies to deal with flood risk. This study is based on Bihar, one of the most frequently flood-affected, most populous and economically backward states in India.

Primary data were collected from 700 households in the seven most frequently flood-affected districts in Bihar. A total of 100 individuals from each district were randomly selected from flood-affected villages. Based on a detailed literature review, an econometric (probit) model was developed to test the null hypothesis of the availability of consumption insurance, and the multivariate probability approach was used to analyze the various coping strategies of these households.

The results of this study suggest that flood-affected households maintain their consumption by overcoming various losses, including income, house damage and livestock loss. Households depend on financial transfers, borrowings and relief, and migrate to overcome losses. Borrowing could be an extra burden as the government compensates for house damage and crop loss late to the affected households. Again, there is no compensation to overcome livelihood loss and deal with occurrences of post-flood diseases, which further emphasizes the policy implications of strengthening the health infrastructure in the state and generating alternative livelihood opportunities.

This study discusses flood risk in terms of changes in household welfare, identifies the most effective risk-coping capabilities of rural communities and contributes to the shortcomings of the government insurance and relief model.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-07-2023-0569

The purpose of this paper is to explore the importance of personalisation in the relationship between the architectural design of homes and inhabitants’ psychological well-being.

This interdisciplinary mixed-method study first investigates the existence of a link between personalisation and users’ association with home through a quantitative study (n = 101) and then explores the nature of this relationship through qualitative interviews (n = 13) in a sequential explanatory approach.

The main findings of the study highlight the significance of personalisation in relation to the way people perceive home. A direct link was established between participants’ involvement in the transformation of the home and their satisfaction with the residence, as well as satisfaction with life in general. Further thematic analysis of the qualitative study revealed further conceptualisations of personalisation, which together form an umbrella concept called transformability.

The findings underscore the need for embedding flexibility as an architectural concept in the design of residential buildings for improving the well-being of occupants.

The design of homes has a great impact on inhabitants’ psychological well-being. This is becoming of greater importance in light of the global COVID-19 pandemic that has led to an increase in the amount of time spent in homes. This research contributes to this debate by proposing concepts for a deeper understanding of architectural influences on the psychology of the home.

To investigate whether additional information of the permanent news flow, especially reporting intensity, can help to increase transparency in housing markets, this study aims to examine the relationship between news coverage or news sentiment and residential real estate prices in Germany at a regional level.

Using methods in the field of natural language processing, in particular word embeddings and dictionary-based sentiment analyses, the authors derive five different sentiment measures from almost 320,000 news articles of two professional German real estate news providers. These sentiment indicators are used as covariates in a first difference fixed effects regression to investigate the relationship between news coverage or news sentiment and residential real estate prices.

The empirical results suggest that the ascertained news-based indicators have a significant positive relationship with residential real estate prices. It appears that the combination of news coverage and news sentiment proves to be a reliable indicator. Furthermore, the extracted sentiment measures lead residential real estate prices up to two quarters. Finally, the explanatory power increases when regressing on prices for condominiums compared with houses, implying that the indicators may rather reflect investor sentiment.

To the best of the authors’ knowledge, this is the first paper to extract both the news coverage and news sentiment from real estate-related news for regional German housing markets. The approach presented in this study to quantify additional qualitative data from texts is replicable and can be applied to many further research areas on real estate topics.

“Poor, Stressed, Drink (alcohol), and Gambling” is one of the campaigns for poverty eradication in Thailand. This study focuses on informal workers—gamblers—who belong to low-income groups and are not covered by the law as an employer. The main objective was to investigate the factors affecting financial stress among informal laborers and determine the factors that drive informal workers to buy lottery tickets (classified by economic, psychological and social motives).

The authors applied binary logistic regression to determine what factors affected financial stress and multinomial logistic regression was applied to examine the factors affecting the motives for buying the lottery.

According to the study's results, factors including education, income, gambling intensity, level of financial literacy, saving and knowledge about finance in general influenced both economic and psychological motives negatively. However, gender, status, age, level of risk tolerance, self-evaluated level of acceptable risk and knowledge about compound interest influenced both economic motives and psychological motives positively. It is worth noting that both the self-evaluation of their level of financial literacy and knowledge about inflation resulted in effects moving in different directions, with self-evaluation of their level of financial literacy and knowledge about inflation negatively affecting economic motives, but positively affecting psychological motives.

The results of this study are expected to help policymakers understand more about this issue since it will illustrate the relationships between financial stress and financial literacy, financial behaviors, financial attitudes and risk tolerance and gambling behaviors. After all, financial stress is a significant problem affecting individuals, their families and the community, and it stems from various complex factors. Therefore, the government and counseling agencies should apply active strategies to mitigate these issues and lessen the resulting financial stress by providing financial literacy projects, as well as financial counseling.

Low financial literacy, especially being inefficient at managing one's finances, unusually comes with unhealthy financial thought patterns, as well as a lack of systematic financial management. Furthermore, the lack of financial literacy can potentially lead to unfavorable circumstances. When one falls into uncontrollable situations, including divorce, becoming unemployed, having health problems, being in toxic relationships, loss of a breadwinner, an unexpected pregnancy, etcetera, they could easily find themselves failing to properly cope with these problems and become stressed. Finally, they are also more at risk to take illicit drugs or begin gambling more frequently.

One of the key elements that reduces financial stress is a person's finances, which is thought to have a significant role in reducing their betting behaviors. The findings of this study can be used to guide policy making intended to deter those who have never gambled from starting. Gambling is considered a risk-taking activity with a higher value reward in return. Money, enjoyment, socialization and excitement were all popular motives for gambling. These findings were consistent with what has been observed in Thai society related to the factors influencing individual to gamble, in other words, economic, psychological and social motives. The study focused on gamblers who were informal laborers. They are laborers without an employer according to the Thai labor law, do not have any social security from the government and, usually, have low incomes.