An option approach to the new product development process: a case study at Philips Electronics

The paper considers the product development process as a series of (real) options with reducing uncertainty over time. Criteria are developed to decide on speeding up or delaying the development process. The paper demonstrates how, in the R&D phase, any particular project may be assigned within a 2 × 2 matrix of uncertainty versus R&D option value. A similar matrix can be established for the product launch phase. The matrices support portfolio management throughout the different phases of development and enable management to decide on an appropriate point at which to abandon individual projects. The approach originates from applying real options insights into the product development process at Philips Electronics. The paper is illustrated with some actual R&D projects.     

Vertical integration as a remedy for imbalances in the ‘Porterian’ value system. The Dutch financial securities industry at the beginning of the 20th century

The way of accounting for vertical integration, of this paper is based on the ‘Porterian’ value system and focuses on the relation between the creation and appropriation of value. The essence of a value system is that at each stage in the system value is created and added to the value created at previous stages. We propose that firms which are unable to appropriate the value they create at the stage they currently inhabit, would find it advantageous to integrate vertically towards stages offering a more attractive relation between value appropriation and value creation. This argument will be illustrated here by the case of a large Dutch bank that integrated vertically towards securities trading.     

Facility design consequences of different employees’ quality perceptions

An important challenge for facility management is to integrate the complex and comprehensive construct of different service processes and physical elements of the service facility into a meaningful and functional facility design. The difficulty of this task is clearly indicated by the present study that shows that different employee categories for interpersonal services have quite different perceptions of the facility design that stem from different but coherent needs and interests. Employees with management perspectives (i.e. top managers and facility managers) were significantly more positive about the facility design than frontline employees and their supervisors with providers’ perspectives. Also, providers attributed a more important role to facility design with respect to delivering interpersonal services than management did. We found strong indications for the need for cross-functional cooperation in decision making about the facility design, creating a more balanced setting and possibly empowering providers for the service encounter.     

The Impact of Scale,Complexity, and Service Quality on the Administrative Costs of Pension Funds: A Cross‐Country Comparison

Administrative costs per participant appear to vary widely across pension funds in different countries. Using unique data on 90 pension funds over the period 2004–2008, this article examines the impact of scale, the complexity of pension plans, and service quality on the administrative costs of pension funds, and compares those costs across Australia, Canada, the Netherlands, and the United States. We find that, except for Canada, large unused economies of scale exist. Higher service quality and more complex pension plans significantly raise costs. Administrative costs vary significantly across pension fund types, with differences amounting to 100 percent.     

Using Meta-Analysis and GIS for Value Transfer and Scaling Up: Valuing Climate Change Induced Losses of European Wetlands

There is growing policy and academic interest in transferring ecosystem service values from existing valuation studies to other ecosystem sites at a large geographic scale. Despite the evident policy demand for this combined transfer and “scaling up” of values, an approach to value transfer that addresses the challenges inherent in assessing ecosystem changes at a national or regional level is not available. This paper proposes a methodology for scaling up ecosystem service values to estimate the welfare effects of ecosystem change at this larger geographical scale. The methodology is illustrated by applying it to value the impact of climate change on European wetlands for the period 2000–2050. The proposed methodology makes use of meta-analysis to produce a value function. The parameters of the value function include spatial variables on wetland size and abundance, GDP per capita, and population. A geographic information system is used to construct a database of wetland sites in the case study region with information on these spatial variables. Site-specific ecosystem service values are subsequently estimated using the meta-analytic value function. The proposed method is shown to enable the adjustment of transferred values to reflect variation in important spatial variables and to account for changes in the stock of ecosystems.     

Educating for self‐interest or ‐transcendence? An empirical approach to investigating the role of moral competencies in opportunity recognition for sustainable development

Entrepreneurship education with a focus on sustainable development primarily teaches students to develop a profit‐driven mentality. As sustainable development is a value‐oriented and normative concept, the role of individual ethical norms and values in entrepreneurial processes has been receiving increased attention. Therefore, this study addresses the role of moral competence in the process of idea generation for sustainable development. A mixed method design was developed in which would‐be entrepreneurs were subjected to a questionnaire (n = 398) and to real‐life decision‐making processes in a case assignment (n = 96). The results provide stepping stones for implementing (moral) competencies in entrepreneurship education as a possible avenue to move away from a sole focus on a profit‐driven mentality.     

Two are better than one: Volatility forecasting using multiplicative component GARCH-MIDAS models

We examine the properties and forecast performance of multiplicative volatility specifications that belong to the class of generalized autoregressive conditional heteroskedasticity–mixed-data sampling (GARCH-MIDAS) models suggested in Engle, Ghysels, and Sohn (Review of Economics and Statistics, 2013, 95, 776–797). In those models volatility is decomposed into a short-term GARCH component and a long-term component that is driven by an explanatory variable. We derive the kurtosis of returns, the autocorrelation function of squared returns, and the R² of a Mincer–Zarnowitz regression and evaluate the QMLE and forecast performance of these models in a Monte Carlo simulation. For S&P 500 data, we compare the forecast performance of GARCH-MIDAS models with a wide range of competitor models such as HAR (heterogeneous autoregression), realized GARCH, HEAVY (high-frequency-based volatility) and Markov-switching GARCH. Our results show that the GARCH-MIDAS based on housing starts as an explanatory variable significantly outperforms all competitor models at forecast horizons of 2 and 3 months ahead.