Segmenting a market in the making: Industrial market segmentation as construction

This paper takes an empirical starting point in a claim that Biacore, a pioneering Swedish producer of affinity biosensors, was “in the enviable position of creating its own market” (Abelin, 1997). An in-depth case study traces how Biacore undertook segmentation activities while shaping the market for its new product technology, affinity biosensors. This involved stabilising the modes of exchange with customers, the product and the identity of the company. The efforts of Biacore highlight a constructive dimension of market segmentation that hitherto has received little attention. Rather than a process of describing, deciding and taking action, Biacore engaged in the gradual construction of market segments through an interactive and iterative process involving close collaboration with early users. Simultaneously, the market for the new technology gained shaped. Thus, the paper reports a ‘markets from networks’ story illustrating how the practice of segmenting a market may have consequences for that market.     

The Internationalization of Small and Medium-Sized Firms

This paper contributes to the existing research by integrating the notions of organizational learning and entrepreneurial orientation into the body of international entrepreneurship. Our primary framework combines learning theory and the new venture theory of internationalization to study the extent to which small and medium-sized companies engage in international activities. We found that the firms’ international learning effort and entrepreneurial orientation are positively associated with internationalization intent whereas domestic learning effort is negatively related with internationalization intent. Overall, our results suggest (1) that intensive knowledge renewal and exploitation regarding foreign markets and the internationalization process itself may increase internationalization by affecting the perceptions of opportunities offered by further international expansion, and (2) that firms with an entrepreneurial mindset may be more likely to develop a long-term, substantial presence in the international arena, compared to firms that are more reactive or conservative.     

Cointegration Analysis of Seasonal Time Series

This paper reviews various recent approaches to cointegration analysis of seasonal time series. In addition to the usual decisions concerning data transformations and univariate time series properties, it is necessary to decide how seasonal variation is included in the multivariate model and how standard cointegration methods should accordingly be modified. Seasonal cointegration and periodic cointegration methods are discussed, as are some of their recent refinements. An overview of further research topics is also provided.     

Rush,delay or money burning: Informational biases in policy decisions

We examine the consequences when the public is unsure about the ability of governments to foresee the effects of decisions. Governments with much information should invest either immediately or never. Governments that are not well informed should wait for better information. But since governments want to signal their abilities to solve problems, we observe rash decisions and problems are portrayed as crises. We also show that excessive delay can occur. Delay or rush occur even if there is very little uncertainty about abilities of governments. We discuss three institutional rules to alleviate the rush and delay bias: Limiting expenditures before elections, experimental clauses or money burning.     

Estimating Transition Probabilities from a Time Series of Independent Cross Sections

This paper considers the implementation of a nonstationary, heterogeneous Markov model for the analysis of a binary dependent variable in a time series of independent cross sections. The model, previously considered by M offitt (1993), offers the opportunity to estimate entry and exit transition probabilities and to examine the effects of time-constant and time-varying covariates on the hazards. We show how ML estimates of the parameters can be obtained by Fisher's method-of-scoring and how to estimate both fixed and time-varying covariate effects. The model is exemplified with an analysis of the labor force participation decision of Dutch women using data from the Socio-economic Panel (SEP) study conducted in the Netherlands between 1986 and 1995. We treat the panel data as independent cross sections and compare the employment status sequences predicted by the model with the observed sequences in the panel. Some open problems concerning the application of the model are also discussed.