Making real options work for practitioners: a generic model for valuing R&D projects

We propose a generic valuation framework for the appraisal of R&D projects based on real option theory. The added value of this approach is the presentation of a model that was implemented in a manner that allows corporate decision makers to use real options in an intuitive and standardized way. The project valuation procedure is separated into three main phases: project modeling, data and input collection, and result generation and analysis. The project model represents the structure of the real world R&D project with its investments, expected results, and decisions that need to be taken conditionally on the outcomes of research activities. The project model is represented in the form of a decision tree, where different research results or taken decisions lead to new branches. In this way, every possible situation the project can pass through can be represented. Uncertainties are separated into market uncertainties (e.g., market prices) and project specific, private uncertainties (e.g. uncertainty of research results). For both uncertainties, event trees are constructed which are then combined and merged with the above mentioned decision tree in order to represent the value evolution of the R&D project under given decisions and uncertainties. For every possible state of the project the real option value is calculated. By creating multidimensional trees, a multitude of decision steps and various kinds of real options (e.g., continue, expansion, switch, abandonment) can be modeled. The calculation complexity for the decision trees is given. From the tree structure we can calculate the real option value of starting an R&D project, i.e., the value of undertaking the first investment and thus acquiring the subsequent decision opportunities given by the completion of the first research effort. Furthermore, the optimal exercise strategy is derived from the decision tree. The exercise strategy gives the manager the possibility to have an a priori overview of where an R&D project may lead to, which decisions need to be taken in which circumstances, and when the project needs to be stopped in order not to generate losses. In an in‐depth case study we use an illustrative R&D project to set up and discuss the three phases of project modeling in the real options framework: building the multidimensional decision tree, input generation, and calculation of the real option value as well as the optimal strategy for the R&D project.     

Feedback and Motivation in Dynamic Tournaments

We investigate the choice to conduct interim performance evaluations in a dynamic tournament. When a worker's ability does not influence the marginal benefit of effort, the choice depends on the shape of the cost of effort function. When effort and ability are complementary, feedback has several competing effects: it informs workers about their relative position in the tournament (evaluation effect) as well as their relative productivity (motivation effect) and it creates signal‐jamming incentives to exert effort prior to the performance evaluation. These effects suggest a tradeoff of performance feedback between evaluation and motivation which is in accordance with organizational behavior research and performance appraisal practices.     

Harassment, corruption and tax policy: A comment on Marjit, Mukherjee and Mukherjee [Eur. J. Political Economy 16 (2000) 75–94]

Our comment on Marjit et al. [Marjit, S., Mukherjee, V., Mukherjee, A., 2000. Harassment, corruption and tax policy. European Journal of Political Economy 16, 75–94.] addresses the equilibrium concept used in the game with imperfect information, Section 4 of the original paper. The solution represented in the original paper does not constitute a perfect Bayesian Nash-equilibrium. We develop an alternative solution of the game given the assumptions made by Marjit et al. [Marjit, S., Mukherjee, V., Mukherjee, A., 2000. Harassment, corruption and tax policy. European Journal of Political Economy 16, 75–94.] and find that the results concerning the optimal amount of over-evaluation of income and the existence of a pooling or separating equilibrium are altered.     

Conformal prediction interval estimation and applications to day-ahead and intraday power markets

In this study, we investigated the application of the conformal prediction (CP) concept in the context of short-term electricity price forecasting. In particular, we determined the most important aspects related to the utility of CP, as well as explaining why this simple but highly effective idea has proved useful in other application areas and why its characteristics make it promising for short-term power applications. We compared the performance of CP with various state-of-the-art electricity price forecasting models, such as quantile regression averaging, in an empirical out-of-sample study of three short-term electricity time series. We combined CP with various underlying point forecast models to demonstrate its versatility and behavior under changing conditions. Our findings suggest that CP yields sharp and reliable prediction intervals in short-term power markets. We also inspected the effects of each of the model components to provide path-based guideline regarding how to find the best CP model for each market.     

Configurations of resources and capabilities and their performance implications: an exploratory study on technology ventures

As one of the most widely accepted theoretical perspectives in strategy, the resource‐based view (RBV) suggests that a firm's resources underlie its ability to achieve competitive advantage. However, much of the extant work in this stream has examined the characteristics that resources must have in order to yield rents, while efforts to specify the crucial link between resources and value creation have been sparse. As a consequence, current theory is not sufficiently clear on how different kinds of resources and capabilities contribute to performance, nor does it clarify how firms can combine different resources and capabilities to achieve superior performance outcomes. Analyzing data obtained from 230 technology ventures with partial least squares (PLS) structural equation modeling and cluster analysis, this study seeks to improve understanding of the resource‐performance link in two main ways. Based on a careful measurement of resources and capabilities in a well‐defined functional area (sales and distribution), we first show how these resources and capabilities contribute to performance in that functional area. Second, we identify four clusters of firms that deploy different configurations of resources and capabilities. Among the four configurational solutions, two are associated with superior (equifinal) performance outcomes. Copyright © 2010 John Wiley & Sons, Ltd.     

Will the Market Get it Right? The Placing of New Power Plants in Germany

This paper applies ELMOD, an economic-engineering model of the European electricity market to the issue of optimal investment placing of generation capacity in Germany under different market integration scenarios. The model is formulated as cost minimization approach. We conduct a scenario analysis comparing different rules for power plant placing in a national, a market-coupling and an integrated EU market approach. We find that there are great benefits for consumers and producers if taking into account network conditions and cross border congestion in generation location planning. Moreover a change from national planning to an integrated market planner perspective shows even more improvements in prices and network utilization.     

Cross-Industrial User Channel Preferences on the Path to Online Purchase: Homogeneous,Heterogeneous, or Mixed?

Though research literature addresses a broad range of advertising impact models, studies on the channel preferences of online purchasers have received little attention, regarding both multichannel settings and channel interplay in click sequences. To provide advertisers a method for better evaluating customer channel preference, this study investigates the path to purchase by building on four multichannel clickstream data sets from three industries, recorded with cookie-tracking technologies. Applying a Cox model and clustering techniques supports delineation of empirical generalizations and industry-specific findings on channel exposure, including their antecedents and distinct channel click sequences. Across data sets, online users show idiosyncratic channel preferences for a limited set of one or two channels rather than multiple online vehicles. Both channel homogeneous click sequences and combinations of two channels (including branded contacts) are effective as purchase predictors. Our study also presents industry-specific results regarding the influence of click sequences on purchase intent, thereby providing insights for advertising research, particularly as are suited to optimization of online advertising activities.     

Tabaksteuer in Griechenland: steuerpolitische Fehlentscheidungen

Both Germany and Greece increased tobacco taxes beginning in 2010. Tobacco taxation in both countries is primarily aimed at generating revenues and at steering the behaviour of individuals affected by the taxation. The tobacco tax structure particularly in Greece has evolved from a mainly ad valorem excise to a specific excise. The comparison of both countries shows that the German tax system is able to generate stable revenues while Greek tobacco taxation policy leads to tax evasion activities among smokers.     

Tractors on eBay: Differences between Internet and In-Person Auctions

We provide a systematic examination of the differences between Internet and in-person auction prices for used tractors. A hedonic model estimated with transactions pooled between eBay and in-person auctions reveals statistically distinct price surfaces for the two auction venues and predicts significantly lower prices for comparable equipment sold on eBay, though this difference is attenuated for tractors fully covered by eBay's buyer protection program and is fully absent for the most frequently traded tractor. An endogenous venue selection model reveals that larger, more valuable tractors from states with more valuable stocks of machinery are more likely to be offered on eBay.     

Internalising the costs of fragmentation and nutrient deposition in spatial planning: Extending a decision support tool for the Netherlands

The Land Use Scanner (LUS) is a decision support system for land use planning that is widely used in the Netherlands. The model yields solutions that have a high resolution (500×500 m) and reflect economic equilibrium in the land market, in which eighteen types of land use and nine aggregated habitat types competitively bid for locations. Here, an extension to the LUS is presented that enables the internalisation of environmental externalities. The focus in this study is on two important externalities, namely ammonia emissions from agriculture and habitat fragmentation. We simulate four IPCC-based land use scenarios and assess the level of fragmentation of the nine habitat types. We also perform sensitivity analyses in the most market-oriented scenario on the effectiveness of market-based instruments in promoting more efficient land allocation. The simulation results suggest that particularly the habitat type ‘rain-fed mires and bogs’ is susceptible to fragmentation. The sensitivity analyses show that internalising the damage costs of fragmentation resulted in smaller changes in land allocation than internalising those of nitrogen deposition. For both instruments, the policy effort was large in relation to the efficiency gains in land allocation.