Publication database

Industrial product service systems (IPS²) are required to meet current customer needs in order to provide solutions to current customer problems. Furthermore, adaptability to changing customer decision drivers is required in order to account for customers' preference changes over time. The purpose of this paper is to present an approach where customer preference drivers for different IPS2 are identified and their directions analyzed.

With permission of Emerald

This article investigates the Farlie-Gumbel-Morgenstern class of models for exchangeable continuous data. We show how the model specification can account for both individual and cluster level covariates, we derive insights from comparisons with the multivariate normal distribution, and we discuss maximum likelihood inference when a sample of independent clusters of varying sizes is available. We propose a method for maximum likelihood estimation which is an alternative to direct numerical maximization of the likelihood that sometimes exhibits non-convergence problems. We describe an algorithm for generating samples from the exchangeable multivariate Farlie-Gumbel-Morgenstern distribution with any marginals, using the structural properties of the distribution. Finally, we present the results of a simulation study designed to assess the properties of the maximum likelihood estimators, and we illustrate the use of the FGM distributions with the analysis of a small data set from a developmental toxicity study.

With permission of Elsevier

Nonprofit firms sometimes engage in for-profit activities for the purpose of generating revenue to subsidize their mission activities. The organization is then confronted with a consumption versus investment trade-off, where investment corresponds to providing capacity for revenue customers, and consumption corresponds to serving mission customers. Exemplary of this approach are the Aravind Eye Hospitals in India, where profitable paying hospitals are used to subsidize care at free hospitals. We model this problem as a multiperiod stochastic dynamic program. In each period, the organization must decide how much of the current assets should be invested in revenue-customer service capacity, and at what price the service should be sold. We provide sufficient conditions under which the optimal capacity and pricing decisions are of threshold type. Similar results are derived when the selling price is fixed, but the banking of assets from one period to the next is allowed. We compare the performance of the optimal threshold policy with heuristics that may be more appealing to managers of nonprofit organizations, and we assess the value of banking and of dynamic pricing through numerical experiments.

© 2009 INFORMS

Companies from industrialized nations have faced with the threat of competition from low-cost countries. We suggest Industrial Product Service Systems (IPS²) as a possible answer. Our article has two main aims. We establish a framework for designing an initial IPS² which meets current customer and market requirements. Building on this, we broaden our focus to include requirements induced by subsequent changes. We propose a combination of the Net Present Value Approach and the Real Options Approach as a means of determining the quantified value of an IPS² for an individual customer over its life cycle.

With permission of Elsevier

In this article we report on the design, prototyping and results of a research effort aimed at identifying whether and how trust affects the innovativeness of a partnership between two players. The methodology combined an experiment and two questionnaires. The research aimed to increase our understanding of trust and its impact on the innovative outcome of cooperation and to derive some guidance for economic actors, namely R&D managers and executives who intend to build innovation-oriented relationships with their business partners. Specifically, we investigated the effect of trust on partners' creativity and willingness to invest financially in a joint development. Our results show that more trustful partners invest higher amounts in the alliance, while there seems to be an optimum amount of mutual trust between partners who maximize their joint creativity and innovativeness; if the level of mutual trust is below or above this threshold, their joint creativity seems to increase less or even to decrease. Our findings suggest that joint development projects should always include explicit trust development activities at the beginning of the project, and that the amount of trust in the joint team should be monitored to avoid the negative consequences of excessive trust.

© 2009 The Authors. Journal compilation © 2009 Blackwell Publishing Ltd

"Think outside the box" is the slogan of countless creativity experts who rightly connect creative thinking to corporate innovation. Jörg Reckhenrich, Martin Kupp and Jamie Anderson advocate, instead, that you think outside the canvas. A review of the thinking of the German artist, Joseph Beuys, shows how managers can unleash bold new ideas.

© 2009 The Author Journal compilation © 2009 London Business School

This paper uses proprietary data on European IPOs with detailed information on the demand at different points of time and allocation for institutional and retail investors. The nature of the data allows us to analyze the reason of why institutional investors as a group get more allocations of underpriced issues than retail investors. By explicitly examining institutional and retail demand for different kinds of stocks, we find that this is due to institutional investors' superior ability to detect underpriced stocks rather than the underwriter's preferential treatment. At the same time, the subset of domestic institutional investors supports the underwriter in issues with weak demand and receives in turn favorable allocations in underpriced issues.

With permission of Elsevier