Collaborative Strategies in the Event of Technological Discontinuities: The Case of Nokia in the Mobile Telecommunication Industry

The paper examines the extent to which collaboration between large and small companies has been able to deal with the effects of discontinuous technological change. In applying an evolutionary perspective, the paper examines the process by which technological competencies and resources of large firms evolve and its effects on the characteristics of their collaboration with smaller companies. In focusing on the issue of complementary between local and international sourcing of capabilities and resources in the mobile telecommunication industry, it combines an empirical analysis of the structure of Finnish Science Parks with an examination of internationalisation strategies of large Finnish companies. The papershows that Nokia has increasingly become engaged in sourcing capabilities internationally, this might, however, pose some long-term problems for the local embeddedness of the company in Finland.     

Stock and bond returns with Moody Investors

We present a tractable, linear model for the simultaneous pricing of stock and bond returns that incorporates stochastic risk aversion. In this model, analytic solutions for endogenous stock and bond prices and returns are readily calculated. After estimating the parameters of the model by the general method of moments, we investigate a series of classic puzzles of the empirical asset pricing literature. In particular, our model is shown to jointly accommodate the mean and volatility of equity and long term bond risk premia as well as salient features of the nominal short rate, the dividend yield, and the term spread. Also, the model matches the evidence for predictability of excess stock and bond returns. However, the stock–bond return correlation implied by the model is somewhat higher than that in the data.     

Marginalizing pattern-mixture models for categorical data subject to monotone missingness

Many models to analyze incomplete data that allow the missingness to be non-random have been developed. Since such models necessarily rely on unverifiable assumptions, considerable research nowadays is devoted to assess the sensitivity of resulting inferences. A popular sensitivity route, next to local influence (Cook in J Roy Stat Soc Ser B 2:133–169, 1986; Jansen et al. in Biometrics 59:410–419, 2003) and so-called intervals of ignorance (Molenberghs et al. in Appl Stat 50:15–29, 2001), is based on contrasting more conventional selection models with members from the pattern-mixture model family. In the first family, the outcome of interest is modeled directly, while in the second family the natural parameter describes the measurement process, conditional on the missingness pattern. This implies that a direct comparison ought not to be done in terms of parameter estimates, but rather should pass by marginalizing the pattern-mixture model over the patterns. While this is relatively straightforward for linear models, the picture is less clear for the nevertheless important setting of categorical outcomes, since models ordinarily exhibit a certain amount of non-linearity. Following ideas laid out in Jansen and Molenberghs (Pattern-mixture models for categorical outcomes with non-monotone missingness. Submitted for publication, 2007), we offer ways to marginalize pattern-mixture-model-based parameter estimates, and supplement these with asymptotic variance formulas. The modeling context is provided by the multivariate Dale model. The performance of the method and its usefulness for sensitivity analysis is scrutinized using simulations.     

Inferential Implications of Over‐Parametrization: A Case Study in Incomplete Categorical Data

In the context of either Bayesian or classical sensitivity analyses of over‐parametrized models for incomplete categorical data, it is well known that prior‐dependence on posterior inferences of nonidentifiable parameters or that too parsimonious over‐parametrized models may lead to erroneous conclusions. Nevertheless, some authors either pay no attention to which parameters are nonidentifiable or do not appropriately account for possible prior‐dependence. We review the literature on this topic and consider simple examples to emphasize that in both inferential frameworks, the subjective components can influence results in nontrivial ways, irrespectively of the sample size. Specifically, we show that prior distributions commonly regarded as slightly informative or noninformative may actually be too informative for nonidentifiable parameters, and that the choice of over‐parametrized models may drastically impact the results, suggesting that a careful examination of their effects should be considered before drawing conclusions.     

The European Union,the Euro,and equity market integration

We use industry valuation differentials across European countries to study the impact of membership in the European Union as well as the Eurozone on both economic and financial integration. In integrated markets, discount rates and expected growth opportunities should be similar within one industry, irrespective of the country, implying narrowing valuation differentials as countries become more integrated. Our analysis of the 1990–2007 period shows that membership in the EU significantly lowered discount rate and expected earnings growth differentials across countries. In contrast, the adoption of the Euro was not associated with increased integration. Our results do not change when the sample is extended to include the recent crisis period.     

Strategic Rivalry With Spillovers Within Segmented Versus Integrated Markets

We consider a two-stage game with firms investing in R&D in the first stage while competing [a] la Cournot in the second stage. The firms are located in two countries, which are either segmented or integrated. R&D spillovers occur between firms located in the same country as well as between firms located in different countries.

We first examine the consequences of market integration on the impact of national and international R&D spillovers on innovative efforts, effective R&D, profits and total welfare. Comparing the resulting equilibrium levels, we subsequently conclude that market integration always leads to higher R&D investments and output if international R&D spillovers are limited, while the welfare consequences are ambiguous. Finally, we also analyze the welfare maximization problem of a ‘constrained social planner who can only decide on the level of R&D spillovers.     

Cultural dimensions in management and planning

The nature of management skills is such that they are culturally specific: a management technique or philosophy that is appropriate in one national culture is not necessarily appropriate in another. The paper describes the scope of (work-related) cultural differences as they were revealed by research in more than 50 countries around the world and discusses how these differences affect the validity of management techniques and philosophies in various countries within the functioning and meaning of planning.The author is with the Institute for Research on Intercultural Cooperation, the Netherlands. This paper is a shorter version of the first part of a report MAN DEV/28. Culture and Management Development, written on behalf of the UNDP/ILO Interregional Project Co-operation among Management Development Institutions and published by the International Labour Office, Management Development Branch, Training Department, Geneva 1983.     

THE INTERACTION BETWEEN NATIONAL AND ORGANIZATIONAL VALUE SYSTEMS[1]

Organizations have prevalent value systems which are part of their organizational cultures. These value systems show a national component according to the nationality of the organization's founder(s) and dominant élite. Research data on national value systems in 53 countries and regions are used to suggest the kind of influence nationality is likely to have on organizational value systems, and what this means for the integration within an organization of persons and groups of different national origins.     

Technological Convergence in the IT Industry: The Role of Strategic Technology Alliances and Technological Competencies

For some time now, the convergence of the telecommunications and computer industries into a single 'information and entertainment' industry has been predicted. The acquisitions that appeared to be bringing such a convergence about have not, however, proved particularly successful. The paper suggests that one factor behind the relatively low degree of convergence may be inertia. Following evolutionary and ecological theory, the paper argues that both external and internal inertial forces reduce the ability of firms to deal with changes in their technological cores. The paper concludes that technological convergence, although apparent on the technological and product/market level, does not seem to have affected the 'core' competencies of major IT companies.