Systemic Cooperative Actions among Competitors: the Case of a Furniture Cluster in Brazil

The purpose of this article is to describe cooperation practices observed in competitors companies in a furniture cluster in Brazil. The literature refers to it as coopetition. The research method was the multiple case study. The main research technique was the semi-structured interviews with practitioners of the cluster. The study created a theoretical framework for cooperative practices in industrial clusters formed by four types of practices: logistics, marketing and sales, formation of the workforce, and innovation and technology. The study investigates these four types of cooperation in five large companies that compete in the same market, the anchor companies of the cluster. The only entirely complied type of collaboration is the formation of the workforce of the cluster. In the other practices, cooperation involving competitors is lower than reported in the literature. The main reason for this low cooperation is excessive rivalry and mutual distrust in the cluster, and competition by differentiation, which partially prevent the gain of scale provided by cooperative actions.     

Marktkommunikation — Wie Paul Watzlawick sie sehen würde

Zusammenfassungen  Der kürzlich verstorbene Kommunikationswissenschaftler und Soziologe Paul Watzlawick wurde berühmt für seine Kommunikationstheorie, die fünf sogenannten „pragmatischen“ Axiome. Wie würde der radikale Konstruktivist die Realit?t der heutigen Marktkommunikation beurteilen? Welche Erkenntnisse k?nnten Marketingforschung und-praxis aus einer Rückbesinnung auf seine Kommunikationstheorie gewinnen? Prof. Dr. Sven Reinecke Dozent für Betriebswirtschaftslehre an der Universit?t St. Gallen (HSG) und Leiter des Kompetenzzentrums „Marketing Performance Management“ am dortigen Institut für Marketing und Handel. Mitherausgeber der Marketing Review St. Gallen     

Evidence on the effects of inflation on price dispersion under indexation

Distortionary effects of inflation on relative prices are the main argument for inflation stabilization in macro models with sticky prices. Under indexation of non-optimized prices, those models imply a nonlinear and dynamic impact of inflation on the cross-sectional price dispersion (relative price or inflation variability, RPV). Using US sectoral price data, we estimate such a relationship between inflation and RPV, also taking into account the endogeneity of inflation by using two- and three-stage least-squares and GMM techniques, which turns out to be relevant. We find an effect of (expected) inflation on RPV, and our results indicate that average (??trend??) inflation is important for the RPV?Cinflation relationship. Lagged inflation matters for indexation in the CPI data, but is not important empirically in the PPI data.     

The importance of reciprocal spillover effects for the valuation of bestseller brands: introducing and testing a contingency model

The valuation of extension rights is critical for entertainment brands such as bestseller books. Building on brand extension research, we argue that accounting for the reciprocal spillover effect (i.e., the influence of an extension product on a parent brand) is important for determining the value of extension rights. We develop a contingency model of the reciprocal spillover effect for category extensions of entertainment products that are characterized by short life cycles and satiation effects. In the discussion of moderating factors, we pay particular attention to the new concept of backward integration, which accounts for the reaction of a parent to the introduction of an extension. Using data from all 446 literature adaptations produced for the big screen and theatrically released in North American theaters between 1998 and 2006, we provide evidence that extension success and marketing support impact the sales of the parent book and for several postulated moderating effects, including those of backward integration. Through simulation analyses, we demonstrate how considering the reciprocal effect in the managerial decision-making process can help entertainment managers to avoid biased estimations of category extension rights.     

Polynomial goal programming and the implicit higher moment preferences of US institutional investors in hedge funds

Polynomial goal programming (PGP) is a flexible method that allows investor preferences for different moments of the return distribution of financial assets to be included in the portfolio optimization. The method is intuitive and particularly suitable for incorporating investor preferences in higher moments of the return distribution. However, until now, PGP has not been able to meet its full potential because it requires quantification of “real” preference parameters towards those moments. To date, the chosen preference parameters have been selected somewhat “arbitrarily”. Our goal is to calculate implied sets of preference parameters using investors’ choices of and the importance they attribute to risk and performance measures. We use three groups of institutional investors—pension funds, insurance companies, and endowments—and derive implied sets of preference parameters in the context of a hedge fund portfolio optimization. To determine “real” preferences for the higher moments of the portfolio return distribution, we first fit implied preference parameters so that the PGP optimal portfolio is identical to the desired hedge fund portfolio. With the obtained economically justified sets of preference parameters, the well-established PGP framework can be employed more efficiently to derive allocations that satisfy institutional investor expectations for hedge fund investments. Furthermore, the implied preference parameters enable fund of hedge fund managers and other investment managers to derive optimal portfolio allocations based on specific investor expectations. Moreover, the importance of individual moments, as well as their marginal rates of substitution, can be assessed.