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Real option valuation is capable of accounting for uncertainties in residential development projects but still lacks practical adoption due to limited evidence to support application of the theory in practice. The purpose of this paper is to use option valuation to value staging option embedded in residential projects and compare with results from DCF to determine which of the two methods delivers superior results.

The fuzzy payoff method (FPOM), a real options model that uses scenario planning approach to generate a range of figures, from which a single-numerical value is computed for decision-making.

The results showed that the use of a range of figures was able to represent uncertainties to a higher degree of accuracy than the static DCF. As a result, the FPOM was able to capture about 3 per cent of the value of the project that was missed by the DCF. The staging option offers an opportunity to abandon unprofitable phases of a project, thereby limiting downside losses. Thus, real option models are practically applicable to cases in property sector.

Residential property developers must consider flexibility in financial feasibility evaluation of development because of the embedded value in uncertain property projects. It is important to account for optionality in financial evaluation of property projects for value maximisation.

The FPOM has been used for the first time to evaluate a horizontal phasing of a residential development project.

While an increasing number of colleges and universities offer classes that teach students how to write a business plan, in practice the majority of new ventures are launched without the benefit of formal planning. The purpose of this paper is to propose a conceptual model to guide students and entrepreneurs through the process of pre‐launch investigation and planning.

To create the methodology, the authors rely on the stage‐gate model from the product development literature. The stage‐gate model is a conceptually sound set of steps that guide engineering students, practicing engineers, and product development specialists through the pre‐launch stages of investigating the merits of new product or service ideas. Using the spirit and structure of the stage‐gate model as a guide, the authors propose a model of the front end of the entrepreneurial process.

The model includes five distinct steps, starting with the identification of a business idea and progressing through feasibility analysis, business planning, and the ultimate launch of the venture.

The model proposed in this paper provides students and entrepreneurs a more structured and logical way of thinking through the merits of a business idea than is currently available.

The chapter studies the problems of formation of regional mechanisms of modernization and development of infrastructure of regions and the country, which are determined by complexity of attracting private capital in financing of infrastructure, which is limited by a long return period and the level of profitability of projects. The mechanism of public–private partnership is offered, which allows leveling high risks of implementation of infrastructural projects under guidance of the state. Also, the methodology of foresight control is studied, which is the last stage of modernization and development of infrastructure of regions and the country, as innovational tools of forecasting the future, which is aimed at leveling the risks, allows determining and neutralizing the danger of nontarget usage of invested financial resources, and seeing the threats to internal environment and external environment.

The present research aims to develop and test an evaluation support model for decisions alert soil surface saving to be used in the redevelopment of abandoned and degraded properties through involvement of private developers.

Adapting operations research principles to the public–private partnership features that are typical of urban planning issues, the model pursues a complex objective function, that concerns urban parameters to be attributed to properties to be recovered. An elaboration of a Pareto-optimal frontier has defined possible scenarios for different trends of the variables under consideration.

The efficiency of the model is verified through application to a real case study concerning urban renewal of a property in disuse located in a city in Southern Italy. The outputs confirm the potentialities and flexibility of the proposed model to support urban planning decisions by improving the implementation of conservation policies, in terms of a reduced impact of urban transformation projects on the available natural land surface.

Depending on the objectives of public sector, the model can generate a range of urban parameter combinations to be attributed to the recovered properties to achieve low consumption of natural surfaces, with bargaining between the public and private sectors around these parameters. The model can also be used in the initial phases of the renewal initiative, when it is necessary to define the costs and the revenues involved or to assess alternative solutions capable of reducing impacts on the environment.

The model can be applied to identify the appropriate rewards in a project that can stimulate the private developers to realize further public infrastructures and services than minimum quantities established by the current local urban regulations. In this sense, the model represents an original scientific reference in the current strategies promoted by the European Union for achievement of a “no net land take” by 2050, aimed at reducing natural surface occupied by buildings and roads.

This article surveys the literature dealing with theory and applications of life cycle costing (LCC). It deals with the literature published in the last 25 years and provides 667 references.

Uncertainties in residential property investment performance require that real estate assets are designed in a flexible manner to respond to impacts of market dynamics. Though estimating the cost of flexibility is straightforward, assessing the economic value of flexibility is not. The purpose of this study is to explore the potential practical application of real option analysis to determine the economic value of a switching output flexibility embedded in a residential property investment in Australia. The study involves the exploration of an optimal strategy for investment in a residential development through real option analysis and valuation of a mixed use investment.

The real option valuation model developed by McDonald and Siegel (1986) is adopted for the evaluation because the switching output flexibility is likened to a perpetual American call option with dividend payout.

Through real option analysis, the economic value of switching output flexibility of the mixed use building was determined to be higher than the initial upfront costs. Moreover, a payoff of about $4million was determined to be the value of the switching output flexibility, therefore justifying upfront investments in flexibility as an uncertainty and risk management tool.

This application is an important demonstration of the practical use of options pricing techniques (real options analysis) and delivers further evidence needed to support the adoption of real option valuation in practice. Flexibility can also enhance risks and uncertainty management in residential property investment better than the adjustment of discount rates.

There is limited evidence on the use of real options techniques for the valuation of switching output flexibility in practice, and this comes as an original application; both the case study and data are all initial applications of switching flexibility in the Australian property market.

One of the practical difficulties of international capital budgeting is how to incorporate political risk into the decision process. This paper examines the nature of political risk and the use of analytical techniques in the evaluation of such risk. Questionnaire and interview findings from a survey of UK multinational companies suggest that corporate practice differs from the theoretical ‘textbook’ treatment of this type of risk.

The purpose of this paper is to explore citizens’ willingness to invest in photovoltaics.

To meet the aim of the research, a questionnaire survey was conducted in the island of Evia in Greece using the method of random stratified sampling. A total of 366 responses were analyzed using both descriptive and inductive statistics methods, such as principal components analysis, K-means cluster analysis, discriminant analysis and binary logistic regression.

The research results indicate that 73per cent of the respondents would invest in renewable energy sources, whereas 55per cent of them would specifically invest in photovoltaics. Regarding their views on photovoltaics, three components were extracted; photovoltaics positive effects, facilitations for investments in photovoltaics and photovoltaics’ performance. Area of residence, annual income and the above-mentioned three components of views on photovoltaics were found to be statistically significant for the dichotomous variable of willingness to invest in photovoltaics. Among the examined variables, photovoltaics performance found to contribute the most in increasing respondents’ willingness to invest in photovoltaics.

The study filled the literature gap concerning citizens’ willingness to invest in photovoltaics in Greece. Furthermore, the research results made feasible to understand the factors that can lead in an investment decision for photovoltaics.

This article explores the value of feasibility analysis for the pre-launch nonprofit enterprise. Similarities and differences between for-profit entrepreneurial ventures and nonprofit entrepreneurial ventures are outlined, and then the traditional format of feasibility analysis used by the entrepreneurial for-profit start-up is reviewed and analyzed. This four-stage analysis is then adapted to the needs of the nonprofit new venture enterprise. The benefits of doing a feasibility analysis for the nonprofit enterprise start-up are identified, and guidelines are suggested. An underpopulated research stream is identified and explained in this article for the start-up and early developmental phases of the nonprofit enterprise.

This paper aims to examine how social and environmental issues were accounted for and traded off within decision-making for Australia’s largest seawater desalination plant. This is done through an investigation of disclosures contained within key publicly available documents pertaining to the project.

The study deploys content analysis to initially identify relevant disclosures. Themes and subthemes are based on definitions of social and environmental accounting adapted from prior research. Relevant information was used to develop “silent accounts” to identify and analyse accountability issues in the case.

It was found that a number of claims made throughout reporting were unsupported or insufficiently explained. At the same time, it is found that various forms of basic measurements used to describe social and environmental issues conveyed the rationale of decision makers. It is concluded that many of the claims were asserted rather than evidenced; yet, the manner and context of their presentation gave them the appearance of being incontestable truths. Further, it is argued that the portrayal of social and environmental issues through measurable means is emblematic of values associated with contemporary neoliberal and public sector reforms.

The findings and conclusions of this study are contextually bound and therefore limited to this case.

This paper illustrates problems with the reporting of non-financial information and strengthens our understanding of the use of “silent accounting”. It illustrates the value of this approach to research examining accounting and accountability issues.

The findings contribute to the literature on social and environmental accounting by providing unique empirical analysis of non-financial disclosures within publicly available reporting.