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The purpose of this study is first to evaluate whether real options analysis (ROA) is suitable for valuing green building certificates, and second to calculate the real option value of a green certificate in a typical office building setting. Green buildings are demonstrated as one of the most profitable climate mitigation actions. However, no consensus exists among industry professionals about how green buildings and specifically green building certificates should be valued.

The research design of the study involves a theoretical part and an empirical part. In the theoretical part, option characteristics of green building certificates are identified and a contemporary real option valuation method is proposed for application. In the empirical part, the application is demonstrated in an embedded multiple case study design. Two different building cases (with and without green certificate) with eight independent cash flow valuations by eight industry professionals are used as data set for eight valuation case studies and analyses. Additionally, cross-case analysis is executed for strengthening the analysis.

The paper finds that green certificates have several characteristics similar to real options and supports the idea of using ROA in valuing a green certificate. The paper also explains how option pricing theory and discounted cash flow (DCF) method deal with uncertainty and what shortcomings of DCF could be overcome by ROA. The results show that a mean real option value of 985,000 (or 8.8 per cent premium to the mean property value) was found for a Leadership in Energy and Environmental Design Platinum certificate in the Finnish property market. The main finding of the paper suggests that the contemporary real option valuation methods are appropriate to assess the monetary value and the uncertainty of a green building certificate.

This is the first study to argue that option-pricing theory can be used for valuing green building certificates. The identification of the option characteristics of green building certificates and demonstration of the ROA in an empirical case makes questions whether the current mainstream investment analysis approaches are the most suitable methods for valuing green building certificates.

Scholars have begun to recognize the importance of integrating organizational issues into real options theory. In doing so, some argue that options are inappropriate for evaluating critical strategic investments. In a more in-depth analysis, we argue that the organizational form that an option takes has a profound effect on exercise decisions. When options are initially integrated, organizational elements such as routines and culture become increasingly intertwined over time, raising the cost of abandoning the option – in effect, pushing firms to exercise options. In contrast, initially isolated options become idiosyncratic and more costly to integrate over time – pushing firms to kill them. There are also reputational and social capital effects that may bias exercise decisions beyond the mere consideration of costs, leading to escalation or missed opportunities.

Accordingly, firms must first be able to manage the associated organizational costs and minimize systematic bias in exercise decisions. Real options theory is moving away from the limitations of the financial options analogy and is increasingly integrated with strategy and organization theory. This shift requires that researchers consider issues such as intermediate organizational forms, external monitoring of exercise decisions, portfolios of competing options, and group process interventions.

We examine a central tenet of real option theory – whether real options influence managerial thresholds for investment. In contrast to prior studies that have focused on whether real options influence discrete investment decisions, our focus is on empirically isolating real options’ effects on thresholds. In particular, we examine the real options inherent in acquisition decisions. Our model posits that there are good reasons why we might expect there to be information asymmetry around the value of real options. Accordingly, if managers have unique information about growth options we might expect to observe them lowering their thresholds, perhaps to the point where they are willing to accept negative market returns. We further expect that the degree of information asymmetry for firm-specific growth options should be higher than for industry-specific growth options. Finally, we believe that managerial thresholds will be more prone to influence from growth options than deferment options. While thresholds are unobservable, we are able to isolate the effects of real options on acquisition thresholds by borrowing a method used originally in labor economics to isolate the determinants of reservation wages. Using a sample of over 28,000 acquisitions in the U.S., we find strong support for the model. These findings suggest that firms with low thresholds may choose to acquire despite comparatively low expected performance.

The purpose of this paper is to construct option pricing models for real estate development by considering and incorporating institutional arrangements, direct interactions and financial constraints in the model. It extends the application of real option theory from the framework borrowed from financial option pricing, and considers the case where a development company has restrictions from outside environment and financial constraint. It explores the effects of these additional practical factors on real asset project value and development timing. This paper makes contributions to bridge the theoretical models and practical applications.

Real estate development is modelled in the binomial option pricing framework with the considerations of time‐to‐build, foregone rent if delaying, institutional environment and capital budgeting. The investment timings are derived from the models and sensitivity analysis is conducted to explore the effects of these factors.

Apart from the factors in traditional option pricing theory, this paper confirms that the contractual covenants, positive synergies between properties and financial status of the firm, which enhance or restrict real flexibility embedded in the development land, influence project value and investment timing. Numerical examples illustrate the effects of these factors. It is argued that the valuation of real options should place emphasis on industry‐specific characteristics and start from the perspective of the firm rather than individual options.

The models constructed in this paper and the results can be directly used in the practical real estate development.

This paper incorporates many practical factors in real estate development which are not investigated in previous studies. It values the option project from the firm perspective rather than project perspective as previous studies. It also shows the effects of institutional arrangement and firm factors on project value and development timing.

Public-private partnerships (PPPs) require the analysis and allocation of a broad spectrum of risks which are considered more complex than in traditional construction contracts. Traditional risk management techniques tend to ignore the manager's ability to recognize and exploit opportunities, which arise as uncertainties are resolved over time and which could potentially increase the project's value. Therefore it is necessary that the risk management process takes account of the managerial flexibility (e.g. real options). The objective of this paper is to explore the possibilities and rationale for implementing real options strategies in the risk management process.

The approach is based on a literature analysis aimed at identifying key risks and related mitigation strategies and on real option theory in order to model these strategies as managerial flexibilities that naturally exist or are built “artificially” in contractual conditions and clauses, guarantees, etc.

The paper develops an option-based risk management framework that associates to each risk the related mitigation strategies, which are expressed in terms of real options. The latter is expressed over the project phases conditioned to the natural evolution of risks over time.

This paper proposes a new “dynamic” risk management approach for PPP projects based on real options that improves the traditional risk management techniques by supporting the decision makers in finding a cost-effective combination of real options (or forms of flexibility) to embed in a PPP investment in order to optimally control risk and maximize investment value.

Decision making for acceptance of an R&D project occurs under uncertainty and may involve predominantly quantitative analyses, such as net‐present value, predominantly intuitive analyses, such as real options logic, or some combination thereof. This paper attempts to bring together two concepts of decision theory, i.e. heuristics and framing, and real options logic into one integrated view relative to R&D project valuation. It is believed that the integration of theory helps explain expected and unexpected decisions resulting from the R&D project valuation process.

It is proposed here that, under a typical R&D project review, aspects of two theoretical concepts integrate to aid project valuation and decision making. The aim of this paper is to develop a research framework leading to advancement in the understanding of the relationship of heuristic principles from decision theory and the valuation methodology of real options logic. Findings – As a conceptual paper, propositions and a research model representing the conceptual framework are presented.

Stemming from the propositions and research model, it is believed that the degree of influence that heuristics potentially exhibit on real options logic can be successfully measured. Confirming the degree of influence is a matter for future empirical research.

The originality of this paper is to develop a research framework leading to advancement in the understanding of the relationship of heuristic principles from decision theory and the valuation methodology of real options logic. In this framework, heuristics has been positioned as a moderator affecting project valuation derived by real options logic.

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.

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.

The purpose of this research is to examine the way uncertainty plays a role in built land prices. This paper provides basic real option pricing models of land prices on the demand side in central Tokyo. The model in this research analyzes micro land prices covering individual lot data provided by the Land Price Index. Since land prices are determined by both macro economic environment and micro lot‐specific attributes, this paper utilizes both time‐series economic data and cross‐sectional lot‐specific data. The model incorporates both time‐series (macro) and cross‐sectional (micro) data including uncertainty terms. In addition to the total uncertainty in asset prices over years, this research also gives some ideas of cross‐sectional uncertainty in land price variations by utilizing cross‐sectional amenity variables. These cross‐sectional and time‐series variables including the two uncertainty variables are arithmetically combined and the OLS method is conducted. The data set consists of 4,368 land price data from 1985 through 2000. The results from the option‐based models favor the application of the real option theory in land prices. The total uncertainty with respect to built asset return has a substantial effect on increasing land prices, which implies that an increase in uncertainty leads to an increase in land prices.

Uncertainties affecting health organizations inevitably influence real estate decisions since real estate is required to facilitate the primary health process. The purpose of this study is to develop a decision support tool that supports health organisations in defining what flexibility they need in order to develop a flexible real estate strategy and to adapt to future uncertainties.

The research is being conducted from a design science perspective. By addressing the needs of real estate managers in health, research relevance is reached. By applying scientific knowledge when developing the tool, rigor is achieved.

Major elements of the decision support tool developed are real options to describe flexibility and its consequences for corporate real estate management, and the backcasting scenario planning method.

The application of the tool by health organisations can increase the professionalization of real estate management and improve the match between current and future demand and supply of real estate, adding to the effectiveness and efficiency in healthcare in general.

This is the first tool developed using the real options approach that provides real estate managers in health a systematic insight into the various types of flexibility needed for the future.