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The purpose of this paper is to discuss the roadmapping methodology and its application to concrete prefabricated housing in Australia.

The paper describes the concrete and housing industries of Australia collaboration in a project to develop a technology and innovation roadmap that will advance the concrete industry's supply chain capabilities by identifying and mapping innovation necessary for prefabricated concrete house construction. The roadmap lays out what is necessary for an off‐site systems‐based approach to housing construction in Australia. The systems‐based approach to prefabricated concrete products is a relatively new and developing extension of the concrete industry supply chain in Australia. New manufacturing technologies and innovations, which are emerging locally and from overseas, make these potential extensions possible. For the long‐term sustainability of the concrete industry, it is critical that it better understands how to adopt cooperative innovations in prefabrication to realise these benefits in the housing industry and advance Australia's competitiveness. The first phase of the mapping involved the development of an industry‐maturity model that determined the current state of the industry, and plotted this against the desired route for the future. Numerous industry‐based workshops and interviews gathered the views of the industry towards existing concrete housing systems, and where their main difficulties are in relation to adoption. Using these data, a technology roadmap is developed, together with three options on how these might be realised using the roadmap. The options offered through the roadmapping process form the basis for ongoing experimental trials of concrete houses in the major cities of Australia.

The system‐based approach to prefabrication is seen as innovative and the industry needs to understand how to adopt cooperative innovations in prefabrication in order to be competitive.

The paper offers insights into the technology roadmapping process in Australia, offering an exciting prospect for moving the industry into a new model of delivery.

This study aims to determine the relationship between the banking industry and home financing by conducting a regression analysis between the mortgage loan interest rates and the number of housing sales, and based on the results of the analysis, this paper proposes a new and alternative interest-free home financing model by directing the savings of the people in pension funds into real estate investment funds (housing fund), specifically established to provide a bank loan-free home financing solution. Diminishing Musharakah (partnership) is also integrated into the model from an interest-free and saving economy perspective. The model developed also provides opportunities to increase the size of the real estate investment funds and provide alternative investment tools to pension funds.

While the global financial crisis resulted from the mortgage crisis in the USA in very recent history, the world has been experiencing the evolution of a new health crisis, COVID-19, a pandemic that has been heavily affecting the global economy in the past two years. The housing sector is among one of the major industries that may be affected by this new global crisis because of the high dependency of the current home financing models on the banking industry, which is carrying the burden of the pandemic. The rapid increase in global debt volume, housing prices, inflation and interest rates are observed as bad signs that may increase the risks of the housing industry. A potential decrease in purchasing power because of high inflation rates may decrease the welfare of people and reduce the income level. While the total debt keeps increasing worldwide, and central banks are considering increasing the interest rates, any potential default in the repayment of the mortgage loans may trigger a new mortgage crisis as the bank loan-dependent financing system of the housing industry lacks alternatives. Thus, a relationship analysis between the banking and housing sectors is required to figure out the dependency of home financing on the banking industry, and a new sustainable home financing model is needed to protect the housing industry and the homebuyers from a negative effect of a new possible financial crisis.

The results of the analysis exhibit that there is a strong negative relationship between the mortgage loan interest rates and the total home sales. As a result, the new model is suggested and this new model is tested in an emerging country, Turkey, with the real housing sector and economic data where the interest rates are high and the home prices are booming. The results exhibit that the new interest-free home financing model provides a more economic financing solution compared with the high financing costs of bank loans.

The model proposed in this study is unique, and there is no such system that has integrated the pension funds, the real estate investment funds and diminishing partnership in one ecosystem. It is expected that the model may decrease the dependency of home financing on the banking industry and decrease the risks of the housing sector in the case a new financial crisis occurs.

While providing a sustainable and alternative interest-free home financing tool, the model also provides individuals who do not prefer to use any bank loan because of religious or other concerns an opportunity to purchase their houses.

The model proposed in this study is a unique and original model that aims to provide a bank loan-free, sustainable home financing solution by integrating the pension funds, real estate investment funds and diminishing partnership in one ecosystem.

Forecasting is an integral part of all business planning, and forecasting the outlook for housing is of interest to many firms in the housing construction sector. This research measures the performance of a number of industry forecasting bodies; this is done to provide users with an indicator of the value of housing forecasting undertaken in Australia. The accuracy of housing commencement forecasts of three Australian organisations – the Housing Industry Association (HIA), the Indicative Planning Council for the Housing Industry (IPC) and BIS‐Shrapnel – is examined through the empirical analysis of their published forecasts supplemented by qualitative data in the form of opinions elicited from several industry “experts” employed in these organisations. Forecasting performance was determined by comparing the housing commencement forecast with the actual data collected by the Australian Bureau of Statistics on an ex‐post basis. Although the forecasts cover different time periods, the level of accuracy is similar, at around 11‐13 per cent for four‐quarter‐ahead forecasts. In addition, national forecasts are more accurate than forecasts for individual states. This is the first research that has investigated the accuracy of both private and public sector forecasting of housing construction in Australia. This allows users of the information to better understand the performance of various forecasting organisations.

The purpose of this paper is to discuss the enablers of creating a viable environment for a sustainable housing industry and investigate the barriers limiting this progress.

A literature review is carried out to explore the four‐angle enablers (technological, institutional, internal action and market influence) which are crucial to create an industry which is prone towards sustainable construction. Based on the interviews and surveys conducted on Malaysian developers, the findings point to various challenges for each enabler.

The paper highlighted that the government's lack of incentive programmes and the slow progress in revising related regulations are major hindrances for institutional enablers. For technological aspects, the problem lies in the cost of importing products because of the lack of locally‐produced green technology. The cost factor and lack of “urgency” are the core problems in encouraging internal action, while the low demand by the potential buyers affects market influence.

Actions towards transforming the conventional industry into a sustainable one require resolute actions and drive from various parties. This paper provides an insight into the key enablers for a sustainable housing industry and the current problems associated with each enabler. Although the research was carried out in Malaysia, the results may be applicable to other countries as well.

The industrialized housing system (IHS) is regarded as an effective building philosophy based on off-site construction techniques to achieve rapid and cost-effective housing development. The purpose of this paper is to develop a multi-criteria decision-making support system (DMSS) model for the evaluation of housing systems to select the relevant decision factors and to identify the types and characteristics of suitable IHSs for application in a mass housing development.

A multi-criteria DMSS model with the analytical hierarchy process was designed. Based on the literature review and also the response of the ten experts’ interviews, 30 decision factors were identified for evaluation. In addition, 5 IHSs were considered as a case study for testing the model. Then, 30 professionals participated in a questionnaire survey conducted to evaluate the priority vector importance level of the decision factors and housing systems.

The result of the decision-making process showed that the top three decision factors are customer needs, supply chain and the construction industry. In addition, both precast concrete beam and slab blocks, as well as agro stone panels are identified as suitable housing systems. The systems have the characteristics of being lightweight, easy to produce and erect, and cost-effective, and they use local input resources and semi-skilled labor. The findings also revealed the potential and practicality of the model among multiple alternatives across multiple decision factors.

The study has faced the limitations of available professionals and experts who have rich experience in the application of IHSs. In addition, there were few types of alternative IHSs and limited practice of IHSs implementation in large-scale housing construction. These challenges caused limitations to the relevant data collection. In order to address these challenges, all the available experts from the different sectors of the construction industry with the experience of IHSs construction are invited to participate and the available alternative IHSs in the market are selected for evaluation.

The rational evaluation method used to determine the important decision factors and the general characteristics of the suitable housing systems can help housing developers and decision makers in developing countries to make informed and effective decisions.

The findings of the study help to address the challenge of lack of sufficient housing supply to the overwhelming housing demand that exists and identify the most important decision factors and suitable housing systems that can be applied for the rapid and decent large-scale housing developments at an affordable price.

This paper bridges the knowledge gaps that exist regarding the identification and evaluation of IHSs in Ethiopia. This study can help practitioners, housing developers, and decision makers to make informed and effective decisions regarding the evaluation and selection of IHSs.

The purpose of this study is threefold. First, to provide a taxonomy of innovations in the housing sector. Second, to create a coherent framework that includes the mechanisms that stimulate and hinder the adoption of innovation in the housing sector. Third, to develop propositions for future innovation adoption research.

A search in Clarivate Analytics’ Web of Science, Elsevier’ Scopus and the ARCOM database, followed by ‘snowballing’ as a backward search technique, revealed 94 scientific studies about innovation adoption in the housing sector. These studies were used to conduct a systematic narrative literature review about innovation adoption in the housing sector.

This study presents the state of knowledge about the adoption of innovation in the housing sector. Based on the unit of analysis by the studies included in our review, we present a taxonomy of housing innovation and we conclude that, typical for low-tech industries, no radical, discontinuous innovations were reported in the field of housing. Based on the data set of this review, a coherent framework has been developed, which includes four categories of determinants and underlying variables. Subsequently, 21 propositions have been deduced, which reflect the key mechanisms affecting the adoption of innovation in housing.

This paper is the first in which the various innovation adoption mechanisms for housing projects are integrated in a coherent innovation adoption framework. This framework not only provides an explanatory overview about innovation adoption in the housing sector but also provides insight to managers how to increase the chances to get their innovations adopted in the housing sector.

The purpose of this paper is to propose a novel framework and a systematic group of methodologies for constructing a computer-based design system that could support homebuyers’ participation in the design of their dwellings in the UAE housing market.

In order to construct the framework, the paper first presents an overview of current applications of mass customization in the realm of architecture, with focus on successful models in North America. Second, the authors analyze the housing market in the UAE, focusing on challenges and opportunities. This leads to structuring the proposed advanced configuration system based on ideas of technology transfer from other industries. Finally, the profile matching model emerges as a logical consequence of the proposed advanced configuration model.

The analysis of the UAE real estate market reveals interesting growth that encourages application of cutting-edge technologies not just in construction methods, but also in new modes of integrating homebuyers in a participatory dialogue for a sustainable outcome. Within the study, the authors call for new roles, digital design and information management technologies can play to enable participatory design. Additionally, the authors propose a new business model that requires extensive studies of the market, and buyers/developers behavior.

The framework proposed in this paper is considered generic and flexible. It raises various issues regarding its applicability, specifically with regard to market readiness. One of the first challenges is possibility of gathering precise data about the housing market in UAE to measure its size and readiness. Additionally, there are also challenges in finding focused developers and builders that are ready to engage in a dialog toward adopting mass customization as a business model.

Mass customization implies adopting a flexible, technology-oriented business model. This raises multiple implications: developing configuration systems, the number of design alternatives has to be limited to three or four options in order to avoid additional overhead cost; implementing a digital platform for customization requires investment in tools, systems, and accordingly operators. Higher cost associated with mass customization occur both in sales and customer interaction as well as in manufacturing; and conducting a financial framework for implementing the proposed system requires intensive market studies which is considered challenging.

The proposed framework derives its novelty by analyzing mass customization theories, technological enablers, various research endeavors in housing, and currently adopted online marketing and sales strategies in the UAE housing market. The implementation of the proposed system would represent a mile stone in the UAE housing market, being capable of redefining the process through which homebuyers, architect, and housing and developers communicate.

Using the resource‐based view, a study was conducted to identify resources required to successfully compete in the Malaysian housing development industry. Data was collected using postal questionnaires and interviews. From the statistical tests done on the data, it was found that variation in certain firm characteristics influenced the value the respondents attached to certain resources. In addition, the more housing segments the developers operated, the more emphasis are given to organisational strategy and policies. There is an inverted‐U relationship between product diversification and trade secrets and innovation, with the maximum value at four housing segments. The housing developers that practise strategic management emphasised significantly more on management expertise and experience than those that did not. No variation in the value attached to resources was found when the other two firm characteristics, i.e. legal status and geographical diversification, were examined. Given the small number of companies that participated in the study, the results should be treated with circumspect. What the study provided though are grounds for more in‐depth study to be conducted.

The Mexican housing industry was hindered by a shrinking market and tighter financial conditions related to the Great Recession. Moreover, in 2013, a major change in public policy further modified this industry’s environment. Mexico’s new urban development policy supported inner-city new housing, in contrast to the previous policy that incentivized sprawling. Three out of eight publicly traded housing companies filed for bankruptcy protection in 2013-2014, arguably because of the effects of the Great Recession and the new housing policy. The purpose of this study is to identify firm-level factors that caused some firms to file for bankruptcy protection.

Three approaches were used to analyze the housing industry in Mexico from 2006 to 2015. First, a policy analysis focused on the new housing policy and its consequences for housebuilding companies. Second, a financial analysis of the two economic shocks was performed in search for the transmission mechanisms in the companies’ financial metrics. Third, a retrospective analysis using the Fisher’s exact test was used to identify variables statistically associated with companies filing for bankruptcy protection.

There are two features significantly associated with bankruptcy protection: increasing market share while being vertically integrated, as a response to the Great Recession, and the relative magnitude of the loss on firms’ inventory value due to the new public policy. Neither Altman’s Z-score values nor firm size or degree of integration are significantly related to bankruptcy.

The small sample size presented a challenge, as most statistical methodologies require large samples; however, this was overcome by using the Fisher’s exact test.

The main contribution of this paper is the statistical identification of the possible causes for bankruptcy protection in Mexico amongst homebuilding firms in 2013 and 2014, which have not previously been reported in the literature.

The purpose of this paper is to investigate the impacts of entrepreneurial learning on the performance of Malaysian private housing developers. Although the extant literature on learning epistemology is quite voluminous, the focus within the housing entrepreneurship remains limited. With this lacuna, the investigation on the perceptions of learning propensity among residential developers is deemed timely.

Using snowball sampling, interviews were conducted with ten perceived successful private housing developers in Malaysia to understand the antecedents and consequences of entrepreneurial learning in steering their business toward excellence.

The research outcomes revealed that all the interviewed respondents concurred with the importance of entrepreneurial learning within the organization to strive for business success. The interviewed housing developers highlighted the significance of learning interest in their daily works to achieve business competitiveness and gain competitive edge against rivals. Through continuous learning, positive ideas and ethos could be instilled within the uncertain business environment.

From an empirical standpoint, the sample was limited to private housing developers in one country. This limits the scope of generalization. Further studies, comparing between public and private developers in multiple contexts should be undertaken. Besides that, the research is based on a relatively small sample of ten respondents and the use of snowball sampling may have meant that the respondents would only tend to present a particular view of the industry.

The results raise interesting impacts on business success for scholars and entrepreneurs to ponder upon. The research contributes new knowledge about the effects of entrepreneurial learning toward the competitiveness of housing developers, by looking at the whole aspects of development process. A better understanding on how business knowledge could be retrieved from the perspectives of Malaysian housing developers is posited to be pragmatically employed.

Concomitantly with the above proposition, the study offers a novel insight into learning capabilities of Malaysian private housing developers that may be useful for global references. Understanding firm’s resources and capabilities is emergent that warrants further clarifications on entrepreneurial learning within housing development firms. The paper successfully illuminates comprehensive issues that have responded to this shortfall.