Purpose: Improving valuation accuracy, especially for sale and acquisition purposes, remains one of the key targets of the global real estate research agenda. Among other recommendations, it has been argued that the use of technology-based advanced valuation methods can help to narrow the gap between asset valuations and actual sale prices. The purpose of this paper is to investigate the property valuation methods being adopted by Australian valuers and the factors influencing their level of awareness and adoption of the methods.Design/methodology/approach: An online questionnaire survey was conducted to elicit information from valuers practising in Australia. They were asked to indicate their level of awareness and adoption of the different property valuation methods. Their response was analysed using frequency distribution,χ²test and mean score ranking.Findings: The results show that the traditional methods of valuation, namely, comparative, investment and residual, are the most adopted methods by the Australian valuers, while advanced valuation methods are seldom applied in practice. The results confirm that professional bodies, sector of practice and educational institutions are the three most important drivers of awareness and adoption of the advanced valuation methods.Practical implications: There is a need for all the property valuation stakeholders to synergise and transform the property valuation practice in a bid to promote the awareness and adoption of advanced valuation methods, (e.g. hedonic pricing model, artificial neural network, expert system, fuzzy logic system, etc.) among valuers. These are all technology-based methods to improve the efficiency in the prediction process, and the valuer still needs to input reliable transaction data into the systems.Originality/value: This study provides a fresh and most recent insight into the current property valuation methods adopted in practice by valuers practising in Australia. It identifies that the advanced valuation methods could supplement the traditional valuation methods to achieve good practice standard for improving the professional valuation practice in Australia so that the valuation profession can meet the industry’s expectations.

Purpose: – The purpose of this paper is to examine the experience of the UK office market in embracing green buildings. The empirical analysis considers the spatial pattern and growth of green buildings in cities since 1990. It examines the perceived industry wisdom that the establishment of a green premium for occupation is the key to greening the office stock.Design/methodology/approach: – The paper begins by looking at the concept of a green office and then examines the evolving attitudes towards these offices and the issues for local market dynamics. The empirical analysis examines the current spatial pattern of green office buildings in the UK and then their impact on city office markets, where there is a major concentration. The latter part of the paper examines the growth of green offices since 1990. It begins with national trends and then examines the evolution of green development in individual cities.Findings: – The initial adoption of green offices was slow. There has been a dramatic rise in green offices at the peak of the past decade’s development boom and in the immediate years that followed. Market acceptance of the importance of greenness appears still to be in the melting pot with limited market transactions since 2008. Green offices represent only 2.7 per cent of office buildings and 12 per cent of total space in the market. Most green offices are in the principal cities with the largest concentration in London. London represents the only potential locality where a green market could have been established so far.Practical implications: – The paper provides an empirical assessment of the growth of green offices in the UK.Originality/value: – This is the first paper to consider the development and scale of green offices in the context of local markets. It challenges the perceived wisdom that a green premium is central to the green transformation to date.

This study explored retail location performance of cities by investigating relationships between changes in retail property stock (supply), changes in retail rental value (demand), and spatial accessibility (retail consumer movement) across three UK cities, namely, Leeds, Newcastle, and York. This is to understand how retail locations and assets can be managed sustainably. In this sense, sustainability was considered through a dual focus in this paper: (1) the efficient use of retail property assets for economic purposes and (2) the impact of these physical retail assets on the local environment in terms of carbon footprint. The study relied on space syntax ideology in computing spatial accessibility index and adopted business rate datasets in computing changes in retail rental value and stock. Findings showed that spatial accessibility across retail locations could predict the performance of retail rental value (but not stock) across the sampled cities. The study further showed that extent of city analysis (scale) is significant in estimating retail location performance and understanding the influence of accessibility. This evidence has the potential to facilitate better decision-making concerning the planning, design, and management of retail locations and spaces. The study is significant because it can serve as a reference for promoting an urban sustainability agenda, especially in ensuring that urban land and properties are used optimally to maximise their social, economic, and environmental values.

Purpose: This study assesses the classification accuracy of an artificial neural network (ANN) model. It examines the application of loan recovery probability rather than odds of default as the case with traditional credit evaluation models.Design/methodology/approach: Data on 2,300 loans granted over the period 2001-2012 was obtained from the databases of Nigerian commercial banks and primary mortgage institutions. A multilayer feed-forward ANN model with back-propagation learning algorithm was developed having classified the sample into training (38 per cent), testing (41 per cent) and validation (21 per cent) sub-samples.Findings: The model exhibits a high overall percentage classification accuracy of 92.6 per cent. It also achieves relatively low misclassification Type I and Type II errors at 6.5 per cent and 8.2 per cent, respectively. Macroeconomic variables such as gross domestic product, inflation and interest rates have the strongest influence on the ANN model classification power. The result of the analysis shows that adopting odds of recovery in ANN classification models can lead to improved loan evaluation.Originality/value: The paper is distinct from extant studies in that it presents a new dimension to loan evaluation in Nigerian lending market. To the best knowledge of the authors, the paper is among the first to explore probability of loan recovery as the basis for credit evaluation in the country.

Purpose: – Occupier satisfaction has received noticeable attention in recent years due to the perceived relationship between satisfaction and investment performance which has led to property investors giving an increased priority to creating good landlord-tenant relationship. The purpose of this paper is to assess the occupier satisfaction on management of commercial properties in Nigeria using Akure as the research site. Design/methodology/approach: – Based on a total population of 160 and employing random sampling technique, 142 questionnaires were administered on the occupiers of shopping complexes along the major routes of the city namely Oba-Adesida and Oyemekun, out of which 98 were returned and found adequate for analysis. Data analysis were done using weighted mean score and paired t-test. Findings: – The result revealed that there is significant difference between occupiers’ expected and actual satisfaction. The paper recommends a tenant-oriented management style for better performance. Originality/value: – The most important contribution of the paper is to underline the need for pragmatic and tenant-oriented management as a means to achieving increased occupier satisfaction in commercial properties.

Purpose: Beyond contributing to literature, research findings are expected to reinforce existing best practices while also serving as a springboard for formulating new and more efficient methods of undertaking economic activities. However, academic research is sometimes divorced from implementation and research findings are not always translated into practice. This study, therefore, assesses the impact of real estate research activities and findings on the practice of real estate surveying and valuation in Nigeria as the largest real estate market in Africa.Design/methodology/approach: An online questionnaire survey was conducted to obtain relevant data from Estate Surveyors and Valuers across the country. The survey questions cover reading of academic papers from the field of real estate and the reasons for doing so; whether they have made any changes to their professional practice based on findings from academic papers; and possible barriers to adoption academic research findings in your practice. Mean score ranking and principal component analysis were employed for data analysis.Findings: Out of a total of 61 participants, only 35 have made a change to their professional practice based on findings from academic papers they have read. “Personal development and enlightenment” ranks first on the list of reasons for reading academic papers among the participants while barriers to the adoption of academic research findings relate mainly to education, dissemination and lack of guidance on how to apply research findings.Practical implications: The study demonstrates how findings from real estate research are being applied and identifies possible barriers that must be addressed to improve the level of application and consequently, the value of academic studies.Originality/value: The study provides evidence on barriers to the adoption of academic research and contributes to the global effort to bridge the gap between academia and practice.