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Behavioural studies of valuers have suggested that valuers rely on a number of cognitive strategies involving reasoning and intuition when undertaking a valuation task. However, there are few studies of the actual reasoning mechanisms in valuation. In other fields, much attention has been paid to forward and backward reasoning, as this shows the choices and decisions that are made in undertaking a complex task. This paper studied this during a valuation task. The purpose of this paper is twofold: first, to develop a methodological approach for empirical research on valuers’ reasoning, and, second, to report expert-novice differences on valuers’ use of forward and backward reasoning during a valuation problem solving.

The study utilised a verbal protocol analysis (VPA) to elicit think-aloud data from a purposive sample of a group of valuers of different levels of expertise undertaking a commercial-valuation task. Through a content analysis interpretive strategy, the transcripts were analysed into different cognitive segments identifying the forward and backward reasoning strategies.

The findings showed that valuers accomplished the valuation task by dividing the overall problem into sub-problems. These sub-problems are thereafter solved by integrating available data with existing knowledge by relying more on forward reasoning than backward reasoning. However, there were effects associated with the level of expertise in the way the processes of forward and backward reasoning are used, with the expert and intermediate valuers being more thorough and comprehensive in their reasoning process than the novices.

This study explores the possibility that forward and backward reasoning play an important role in commercial valuation problem solving using a limited sample of valuers. Given this, data cannot be generalised to all valuation practice settings but may motivate future research that examines the effectiveness of forward and backward reasoning in diverse valuation practice settings and develops a holistic model of valuation reasoning.

The findings of this study are applicable to valuation practice. Future training efforts need to evaluate the usefulness of teaching problem solving and explicitly recognise forward and backward reasoning, along with other problem-solving strategies uncovered in this study, as standard training strategies for influencing the quality of valuation decisions.

By adopting VPA, this study employs an insightful and rich dataset which allows an interpretation of thoughts of valuers into cognitive reasoning strategies that provide a deeper level of understanding of how valuers solve valuation problem; this has not been possible in previous related valuation studies.

The purpose of this paper is to identify the core dimensions of problem solving of experts in commercial valuation in order to provide a rich stimulus for managing current practice and enabling future development.

The study adopted a cognitive position but emphasised understanding the everyday commercial property valuation practice in a naturalistic context and from the participants’ perspectives. Given this, a grounded theory approach was employed as a research strategy to guide the data collection and surface theoretical interpretations. Data were obtained through in-depth interviews with practicing valuers working in private real estate firms within metropolitan Birmingham, UK.

The interviews uncover four dimensions of experts’ problem-solving practice in commercial valuation: multidimensional, domain-specific knowledge base; cognitive process that is centred on analysis and reflection; collaborative problem-solving venture with colleagues; and professional practice issues awareness. A conceptual model is proposed which integrates these dimensions enabling a clearer understanding of the nature of valuation work.

This study was designed to be descriptive and theory generating, thus, the findings cannot be generalised as the sample was confined to one city and consists of a small number of senior practicing valuers. Therefore, the findings may not be fully applicable to other practicing valuers, other geographical locations or more widely to other types of property valuation. Nevertheless, the findings provide an important cognitive framework which can be verified by other researchers seeking to examine the practice of expert valuers.

The identification of the core dimensions of expert problem solving in commercial property valuation is shown to have implications for valuation practice, education and continued research. The valuation practice environments need to develop mechanisms to provide time that would enable these multi-dimensions of professional competence to be developed. Further work is needed to expand and refine the model across expert practice in other specialty areas of valuation practice.

This study expands the current understanding of valuation process to areas of expertise that have received less coverage in behavioural valuation literature, that is, the central role of knowledge and cognition and how these are integrated for effective valuation problem solving and decision making.

The purpose of this study is to solve five key brownfield valuation problems.

This aim is achieved by using doctoral research on integrating the scientific process into the appraisal process. The first objective is demonstrating why four of the problems require solutions prior to solving the first problem, a valuation procedure for formerly used sites. A second objective is to use empirical data from appraisals to reveal why existing methodology is not reliable – because it does not solve the four problems.

The resulting findings are that a developmental model that incorporates the Triad approach to quantifying environmental uncertainty, initially used in the USA, simulates a process used by buyers to establish the price paid for brownfields with contaminated land.

The practical implication that results from this research is that valuers need to emulate the buyer's process when valuing this property type. Prescriptive procedures for valuation requiring the use of scientific methods, as used in the Triad process, need to be set forth to quantify the atypical uncertainties in valuing this property type. The results of this research should be of significant interest to all stakeholders that are involved in brownfield redevelopment, so that they can insure that their needs will be met by improved feasibility analysis.

This research is unique in that it is the first empirical test of the reliability of the valuation of brownfields that need to undergo a time‐consuming and often expensive soil remediation process.

This paper examines participants' opinions on whether valuation education and training in Kenya is adequate while comparing it to actual material conditions.

This research is based on a survey of registered and practicing valuers in Kenya, interviews of key informants from professional bodies and the five universities offering real estate degree courses in Kenya, and a review of Kenya's real estate curricula and Institution of Surveyors of Kenya (ISK) training.

It was perceived that while valuer education and training in Kenya is satisfactory, it differs from actual material conditions as it fails to cover practical issues in valuation practice.

The study makes a critical contribution to the empirical literature by introducing new insights in valuation education and training in Kenya.

Reconsiders the double sinking fund problem by looking at each of the common methods used. Investigates the underlying assumptions and the residual errors or inconsistencies. Notes that the use of traditional dual rate valuations results in a mathematical error within the valuation and an under‐valuation of the interest. Concludes that the Double Sinking Fund Method must be recommended in preference to Pannell′s Method.

Given the significant role played by valuers and the evidence of a lack of independence in some property valuation industries, particularly in emerging markets, this study analyses the issue of client influence in property valuation by providing a valuer-client perspective and measuring the interrelationships between the clients' influence factors to identify causal factors of prominence, which can assist in developing solutions to address the clients' influence issue.

The study used a mixed-method approach. Firstly, interviews were conducted with ten property valuers and five financial institution staff in Nigeria, and the data were subject to thematic analysis using Nvivo 12 software. A matrix questionnaire survey was administered to the valuers, and the responses were analysed using the fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) method.

The results indicate that institutional clients, loan-seeking customers, property valuers and the perception of corruption within the Nigerian environment fuelled the issue of clients' influence. Based on the measurement of the interrelationship between the 14 identified client influence factors, the type of company, perception the public has of the industry, size of the firm, relationship with the client, type of client and regulatory framework were the factors of prominence.

The findings of this study bear huge implications for Nigeria and other similar structured property markets facing the issue of clients' influence in property valuation. With the prominent factors bearing root in a mix of client, valuer and environmental factors such as the valuation structure, process and public perception, there is a need for solutions that level the playing field between institutional clients and valuers, reinforce transparency and establish excellent regulatory standards to address the issue of clients' influence.

This study is the first to measure the interrelationships between the clients' influence factors to identify the prominent causal factors. Accordingly, considering the multi-factors, the research is novel as it focusses on those factors that would likely lead to other factors, thereby providing opportunities to develop solutions that focus on those factors of prominence. Secondly, the study deviates from the narrative on clients' influence in property valuation, which pits it as solely a client or valuer factor, by showing how the interplay of the stakeholders' interests and the environment promotes the issue in a non-transparent property market.

Discusses the components of valuation expertise as applied to the residual mortgage valuation domain and considers the different levels of analysis at which this expertise is exhibited. Explores the difference between ′true′ valuation expertise and expertness, the implications of the consultant′s ability to work across different domains of specialization by using analogies and the use of both individual and multiple experts in producing a ′domain theory′ which could be utilized in the production of an expert system for the mortgage valuation problem.

This paper is aimed at studying the technology in buy‐cooperate‐sell decisions process in order to identify and analyse the logical steps that should characterise a complete and reliable appraisal process.

The paper develops a framework to support the whole process, based on literature analysis and an empirical study. A case study is presented in order to discuss some of the theoretical and practical problems affecting the appraiser during a technology valuation.

It is found that the use of the proposed framework: forces the appraiser to perform a systematic and rational analysis, coherent with the internal and external context of the valuation; points out the most critical elements that could lead to a misleading and/or unusable and/or biased valuation; forces the appraiser to solve some critical trade‐offs and to deal with contrasting elements; imposes coherence throughout the process and consistency among the various hypotheses and assumptions needed to finally identify a (range of) final value(s); gives the appraiser a communication tool, as different people are involved during the process; allows people (even if not directly involved in the process) to understand how the value of the asset has been determined and the validity, reliability and precision of the results obtained; and increases the bargaining power of the appraiser during the negotiation with a potential counterpart, allowing a clear and complete understanding of the value of the asset.

This paper analyses the entire process and gives emphasis to the critical aspects of each phase, suggesting some solutions.

The purpose of this paper is to describe the property valuation methods that are applied in Poland. It shows that they base on international standards and are a reliable source of information for international investors and banks.

The valuation methods are described and critically assessed, potential problems are pointed out. The analysis of lending risk is analysed on data about non-performing loans (NPL).

Polish valuation methods are in line with international methods, but there are some risks, like small number of transactions, subjective behaviour of valuers. The low NPL ratios indicate that the valuation works correctly.

The Polish valuation methods are trustworthy, non-performing mortgage ratios are low, however, banks and investors should ask whether there is a local zoning plan. Moreover, they should look critically at the comparables that were used during the valuation process, if in their opinion the valuation is overly low or high.

This paper focusses on valuation from a financial stability perspective. It uses Polish literature and data on NPLs to give an insight on valuation of property and mortgage risk in Poland. Besides the review of the methods it points out the problems related to valuation uncertainty, such as the risk of subjective behaviour of valuers and the low number of transactions in some regions, which are used for valuations.

Challenges of property data in developing markets have been reported by several authors. However, a deep understanding of the actual nature of this phenomenon in developing markets is largely lacking as in-depth studies into the actual nature of data challenge in such markets are scarce in literature. Specifically, the available literature lacks clarity about the actual nature of data challenges that developing markets pose to valuers and how this affects valuation practice. This study provides this understanding with focus on the Lagos property market.

This study utilises a qualitative research approach. A total of 24 valuers were selected using snowballing sampling technique, and in-depth semi-structured interviews were conducted. Data collected were analysed using thematic analysis with the aid of NVivo 12 software.

The study finds that the main data-related challenge in the Lagos property market is the lack of database of market property transactions and not the lack or absence of transaction data as it has been emphasised in previous studies. Other data-related challenges identified include weak property rights institution with attendant transaction costs, underhand dealings among professionals, undocumented charges, undisclosed information, scarcity of data relating to specialised assets and limited access to the subject property and required documents during valuation. Also, the study unbundles the factors responsible for these challenges and how they affect valuation practice.

The study has implication for practice in the sense that the deeper knowledge of data challenges could provide insight into strategy to tackle the challenges.

This study contributes to the body of knowledge by offering a fresh and in-depth perspective to the issue of data challenges in developing markets and how the peculiar nature of the real estate market affects the nature of data challenges. The qualitative approach adopted in this study allowed for a deep enquiry into the phenomenon and resulted into an extended insight into the peculiar nature of data challenges in a typical developing property market.