How different are the regional factors of high-tech and low-tech start-ups? Evidence from Japanese manufacturing industries

This paper analyzes regional determinants of the start-up ratio in the Japanese manufacturing sector. A major contribution of this study is the comparison between high-tech and low-tech industries. The empirical results using a sample of 253 industrial districts suggest that business density, weight of the manufacturing sector, and the average business size significantly influence the start-up ratio in both high-tech and low-tech industries. Distinct differences between these industries were found with regard to the effects of human capital, research institutes, and the weight of high-tech industries.

Propensity to firm creation: empirical research using structural equations

The identification of the entrepreneurs’ characteristics and the knowledge of the entrepreneurial profile of university students have been assuming a growing importance in the development of educational programs directed towards the entrepreneurship and start-up processes. This study aims to identify the factors that most contribute for the intention to start up a business. The research also tries to identify the profile of a potential entrepreneur student concerning several characteristics: personal attributes, family, demographic variables and motivations. Research findings include the idea that entrepreneurship education is the most relevant factor in what concerns the propensity to business creation. On the other side, personal characteristics have an important role in shaping motivation to start-up a business and perceived hurdles have a negative impact in the intention to start-up. The results may be relevant when developing an adequate educational program directed to the entrepreneurship education and start-up processes.     

Stochastic productivity measurement

Stochastic productivity indicators are defined, and superlative measures of these indicators are derived. It is shown that, in the presence of complete markets or a common-expectations equilibrium, differences in the market values of firms are superlative indicators of cross-sectional productivity differences. Exactness results are used to decompose nonstochastic productivity indicators into a measure of true productivity change and a measure of ‘luck’. The decomposition is illustrated empirically.

A fuzzy group decision-making approach in quality function deployment

Quality function deployment (QFD) is comprised of two major group decision-making processes. One is to collect the customer requirements from a group of customers, whereas the other is to determine the relationship between customer requirements and technical measures by a cross-functional team. Generally, different and/or even subjective opinions are quite often in a group decision-making process due to the limitations of experience and impreciseness. Obviously, the importance of each customer requirement and the relationship between customer requirements and technical measures are determined by a group of people with imprecision and vagueness. Under such circumstances, a fuzzy group decision-making approach can be applied in QFD to deal with a group decision-making process when the information is imprecise and fuzzy. Moreover, an example is provided as well as the computational steps to show this fuzzy group decision-making approach can be effectively used in QFD to make decisions with imprecision and vagueness.     

Data driven rank test for the change point problem

Data driven test procedure for detection of change is introduced and its properties are studied. The new solution is max-type statistic related to data-driven rank tests for two-sample subproblems. Simulations show that the new test possesses high and stable power. The test is consistent at essentially any alternative. Asymptotic null distribution of the test is derived. The work of the first two authors has been partially supported by the grants GAČR 201/06/0186 and MSM 02160839.     

Der Lehrstuhl für Allgemeine Betriebswirtschaftslehre — insbesondere Rechnungswesen und Controlling — der Helmut-Schmidt-Universität,Universität der Bundeswehr Hamburg

Ohne Zusammenfassung     

Fostering entrepreneurship in distressed urban neighbourhoods

During the last decade entrepreneurship research has focused increasingly on spatial aspects of entrepreneurship. Many systematic studies have been conducted on the national or regional scale, although other geographical scales—cities and their single districts and neighbourhoods—have drawn less attention. In this context, the paper aims, firstly, at identifying spatial success factors of entrepreneurial activities and their promotion at the local scale. Secondly, the paper aims at contributing to the development of a conceptual frame at the interface of entrepreneurship research, urban and economic geography, and regional economics. Empirically, the paper draws on results from explorative case studies in two distressed urban areas.