London Business School

About: London Business School is a education organization based out in London, England, United Kingdom. It is known for research contribution in the topics: Portfolio & Equity (finance). The organization has 1138 authors who have published 5118 publications receiving 437980 citations. The organization is also known as: LBS.

Counting Your Customers the Easy Way: An Alternative to the Pareto/NBD Model

Abstract: Today's managers are very interested in predicting the future purchasing patterns of their customers, which can then serve as an input into "lifetime value" calculations. Among the models that provide such capabilities, the Pareto/NBD "counting your customers" framework proposed by Schmittlein et al. 1987 is highly regarded. However, despite the respect it has earned, it has proven to be a difficult model to implement, particularly because of computational challenges associated with parameter estimation. We develop a new model, the beta-geometric/NBD BG/NBD, which represents a slight variation in the behavioral "story" associated with the Pareto/NBD but is vastly easier to implement. We show, for instance, how its parameters can be obtained quite easily in Microsoft Excel. The two models yield very similar results in a wide variety of purchasing environments, leading us to suggest that the BG/NBD could be viewed as an attractive alternative to the Pareto/NBD in most applications.

Knowledge as a Contingency Variable: Do the Characteristics of Knowledge Predict Organization Structure?

Abstract: This paper examines the validity of knowledge as a contingency variable. Building on recent advances in thinking about the dimensions of knowledge assets (Winter 1987, Zander and Kogut 1995), we argue that such dimensions might have an important influence on organization structure. More specifically, we focus on two dimensions of knowledge--observability and system embeddedness--and their influence over the level of unit autonomy and interunit integration in an international network of R&D units. Statistical analysis of questionnaire responses from 110 R&D unit managers show strong association between the dimensions of knowledge and organization structure. It also indicates partial support for the "fit" hypothesis in contingency theory.The paper makes two important contributions to the knowledge management literature. First, we find support for the contingency logic, suggesting that effective organization design has to take into account the underlying characteristics of the firm's knowledge base. Second, we shed light on a relatively neglected dimension of knowledge that we callsystem embeddedness. This is the extent to which knowledge is a function of the social and physical system in which it exists. In the statistical analysis it emerges as a strong predictor of organization structure. Moreover, it also appears to be conceptually distinct from the tacit-articulate dimension that is normally emphasized. This allows us to speculate on four generic forms that a firm's knowledge might take, that we label integrated, isolated, opaque, and transparent. These are discussed using examples from the data.

Technology development mode: a transaction cost conceptualization

Abstract: Technology alliances have emerged in the past decade as a significant mode for the development of innovation. The present research assesses the factors explaining whether firms will engage in such technology alliances or utilize the more traditional mode of internal R&D. The hypotheses stem from a transaction cost conceptualization. Results suggest that firms which pursue technology alliances are likely to have less commitment to product category-specific assets, to face higher technological uncertainty, to be more capable at measuring innovation performance, to have more successful technology alliance experiences, and to compete in lower growth product categories. © 1998 John Wiley & Sons, Ltd.

Do Hedge Funds Deliver Alpha? A Bayesian and Bootstrap Analysis

Abstract: Using a robust bootstrap procedure, we find that top hedge fund performance cannot be explained by luck, and that hedge fund performance persists at annual horizons. Moreover, we show that Bayesian measures, which help overcome the short-sample problem inherent in hedge fund returns, lead to superior performance predictability. Relative to sorting on OLS alphas, sorting on Bayesian alphas yields a 5.5 percent per year increase in the alpha of the spread between the top and bottom hedge fund deciles. Our results are robust, and relevant to investors, as they are neither confined to small funds, nor driven by incubation bias, backfill bias or serial correlation.

Corporate Governance Reforms in Continental Europe

Abstract: This essay first describes the differences in the ownership structure of companies in the three main economies of continental Europe - Germany, France, and Italy - with comparisons to the United States and the United Kingdom. Next, it summarizes the corporate governance issues that arise in firms with a dominant shareholder. Then, it provides a brief account of the major European corporate scandal, Parmalat, as an extreme example of investor expropriation in a family-controlled corporation. After outlining in general the legal tools that can be used to tackle abuses by controlling shareholders (internal governance mechanisms, shareholder empowerment, disclosure, public enforcement), it describes the corporate governance reforms enacted by France, Germany, and Italy between 1991 and 2005 and assesses the way in which investor protection in the three countries has changed.