A New Indicator of European Integration and an Application to Collaboration in Scientific Research

The goal of this study is to develop a comprehensive indicator of integration among countries within a supranational system. Integration is not analysed in terms of the growth in interactions among countries, but in terms of the matrix distribution of interactions among countries. Integration can then be indicated in terms of interaction biases among countries measured by the difference between the observed matrix distribution and the hypothetical random distribution. The indicator is applied to data on research collaborations among European research institutions (1993-2000). Evidence is found that the European science system has indeed become more integrated. The higher level of integration has resulted exclusively from a more evenly distributed pattern of European collaborations, while the strong bias towards intra-national collaborations persisted. The results point to the persistence of national science systems. A future research agenda and science policy implications are discussed.     

Are private banks more efficient than public banks?

We study whether bank efficiency is related to bank ownership in Russia. We find that foreign banks are more efficient than domestic private banks and, surprisingly, that domestic private banks are not more efficient than domestic public banks. These results are not driven by the choice of production process, the bank's environment, management's risk preferences, the bank's activity mix or size, the econometric approach, or the introduction of deposit insurance. The policy conclusion is that the efficiency of the Russian banking system may benefit more from increased levels of competition and greater access of foreign banks than from bank privatization.     

Spatial clustering of events on a network

In this paper a methodology is proposed to compute spatial concentrations of point-based events on a network. The distance along the network is used as a measure of the spatial closeness of events. The network is divided into statistical units, based on a random distribution of points of measurement and corresponding network segments, which are the statistical units of reference. For each segment a dangerousness index is computed which indicates the distance-weighted number of traffic accidents in the neighbourhood. The statistical significance of clusters of accidents is tested using a Monte Carlo simulation. The methodology is applied to traffic accidents to detect dangerous locations on the road network of the city of Brussels in Belgium.     

Venture capitalists, investment appraisal and accounting information: a comparative study of the USA, UK, France, Belgium and Holland

The differences between the information used for the pre‐investment valuation and the valuation methods used by venture capital investors in five countries (USA, UK, France, Belgium and Holland) are empirically studied. The analysis is based on postal questionnaire surveys of representative samples of senior venture capitalists in each country. Differences are found, which may be attributed to the dominant corporate governance mechanism or the level of development of the venture capital market. Between‐country differences persist even after taking into account between‐country differences in the relative importance of investment stages and venture capital types. Apparently similar systems and venture capital markets place varying emphases on different valuation methods, with theoretically 'correct' methods not always being preferred in practice. The findings of the study highlight the need for venture capital firms entering non‐domestic markets to invest considerable effort in understanding the operation of these markets if they are to exploit fully their perceived competitive advantages and minimize the likelihood of repeating the problems experienced by venture capital entrants into foreign markets in the late 1980s.     

The impact of regulatory focus on adolescents’ evaluation of targeted advertising on social networking sites

This article examines whether individual differences in chronic regulatory focus (prevention vs. promotion focus) among adolescents influences the way they evaluate targeted advertising on social networking sites. Study 1 (survey) reveals that adolescents with a promotion focus (who are oriented toward achieving positive outcomes) have a more positive attitude and a higher purchase intention toward targeted advertising, as compared to prevention-focused adolescents (who are dispositioned toward avoiding negative outcomes). Study 2 (experiment) investigates how adolescents’ chronic regulatory focus can alter their attitude and purchase intention on a mock social networking site that includes a targeted advertisement. Results show that a low personalized targeted ad is better evaluated (in terms of a more positive attitude and higher purchase intention) among prevention-focused adolescents, whereas a high personalized targeted ad results in better advertising outcomes among promotion-focused adolescents. Contributions to theory and implications for advertising practice are discussed.     

Retailer Pricing and Competitive Effects

Until recently, retailers have taken an either/or approach to competition: either reacting fiercely to competitive price changes or ignoring them altogether. Today, however, firms make a concerted effort to determine and quantify competitive effects. In this paper, we focus on how pricing and competitive effects interact as a general phenomenon, particularly as it applies to retailing. We attempt to construct a general framework that enhances our understanding of the emerging research issues in the area of pricing and competitive effects, and we examine their implications for practice. The areas that show high promise/opportunity are in the online setting for all types of goods—fashion, perishable and packaged staples, and durables—particularly with respect to pricing for profitability and understanding the impact of competition. Other opportunities include understanding the pricing and competitive effects in the perishable goods category sold in specialty, discount, and convenience stores.     

Models in evolutionary economics and environmental policy: Towards an evolutionary environmental economics

In this paper we review evolutionary economic modelling in relation to environmental policy. We discuss three areas in which evolutionary economic models have a particularly high added value for environmental policy-making: the double externality problem, technological transitions and consumer demand. We explore the possibilities to apply evolutionary economic models in environmental policy assessment, including the opportunities for making policy-making endogenous to environmental innovation. We end with a critical discussion of the challenges that remain.     

Table of Contents Volume 22 2003

Volume Contents

Table of Contents Volume 22 2003     

Networking as a Means to Strategy Change: The Case of Open Innovation in Mobile Telephony

The purpose of this article is to investigate how innovation networks can be used to deal with a changing technological environment. This study combines different concepts related to research and development (R&D) collaboration strategies of large firms and applies these concepts to R&D alliance projects undertaken by Nokia Corporation in the period 1985–2002. The research methodology is a combination of in‐depth semistructured interviews and a large‐scale quantitative analysis of alliance agreements. For the empirical analysis a distinction is made between exploration and exploitation in innovation networks in terms of three different measures. As a first measure, the difference between exploration and exploitation strategies by means of the observed capabilities of the partners of the contracting firms is investigated. The second measure is related to partner turnover. The present article argues that in exploration networks partner turnover will be higher than in exploitation networks. As a third measure, the type of alliance contract will be taken; exploration networks will make use of flexible legal organizational structures, whereas exploitation alliances are associated with legal structures that enable long‐term collaboration. The case of Nokia has illustrated the importance of strategic technology networks for strategic repositioning under conditions of change. Nokia followed an exploitation strategy in the development of the first two generations of mobile telephony and an exploration strategy in the development of technologies for the third generation. Such interfirm networks seem to offer flexibility, speed, innovation, and the ability to adjust smoothly to changing market conditions and new strategic opportunities. These two different strategies have led to distinctly different international innovation networks, have helped the company in becoming a world leader in the mobile phone industry, and have enabled it to sustain that position in a radically changed technological environment. This study also illustrates that Nokia effectively uses an open innovation strategy in the development of new products and services and in setting technology standards for current and future use of mobile communication applications. This article presents one of the first longitudinal studies, which describes the use of innovation networks as a means to adapt swiftly to changing market conditions and strategic change. This study contributes to the emerging, but still inconsistent, literature on explorative and exploitative learning by means of strategic technology networks.