New Product Success: Is It Really Controllable by Managers in Highly Turbulent Environments?

This research proposes and tests a model of direct and indirect effects linking four antecedents to new product success: (1) a proactive strategic orientation along with enabling (2) organic organizational structures should lead to more (3) innovativeness and (4) market intelligence. Innovativeness and market intelligence should in turn lead to greater new product success. The relationships among the four antecedents are not hypothesized to be moderated by environmental turbulence because their domain is intraorganizational. However, the relationships from intraorganizational constructs to new product success are hypothesized to be moderated by environmental turbulence because success depends in part on the environment in which the new product must compete. The model was tested using a sample composed of 202 small business units of manufacturers on the Fortune 500. The sample was heavily involved in new product development: Their average annual research and development budget was $360.4 million, and approximately 8.2% of sales came from products introduced in the last five years. A two-group structural equation model analysis supports the moderation model overall and reveals the pattern of direct, indirect, and total effects. The results show that innovativeness (but not market intelligence) directly predicts new product success when turbulence is high, whereas market intelligence (but not innovativeness) directly engenders new product success in low turbulence. Environmental turbulence also affects the total indirect impact of strategy proactiveness and organizational organicity on new product success. These indirect effects operate through innovativeness and market intelligence as complete mediators.     

Systemtheorie,Shareholder Value-Konzept und Stakeholder-Konzept als theoretisch-konzeptionelle Bezugsrahmen der Balanced Scorecard

Zusammenfassung  Die theoretisch-konzeptionelle Würdigung der Balanced Scorecard steht trotz ihres Siegeszuges in der Praxis noch immer in den Anf?ngen. Der vorliegende Beitrag weist die Systemtheorie, das Shareholder Value-Konzept und das Stakeholder-Konzept als theoretisch-konzeptionelle Bezugsrahmen der Balanced Scorecard aus. Damit werden zugleich Modifikationsm?glichkeiten der Balanced Scorecard angedeutet, die sich aus einer noch konsequenteren Anlehnung an einen der drei Ans?tze ergeben k?nnten. Prof. Dr. Jan K?rnert ist Inhaber des Stiftungslehrstuhls für Allgemeine Betriebswirtschaftslehre, insb. Internationales Finanzmanagement/Kapitalm?rkte Dr. Cornelia Wolf ist Gesch?ftsführerin des Studentenwerkes Greifswald     

The development of delinquency during adolescence: a comparison of missing data techniques revisited

Quality & Quantity - Conclusions about the individual development of delinquent behaviours during the life-course are often made by repeatedly interviewing the same respondents (i.e. panel...     

Corporate foresight in Europe: from trend based logics to open foresight

The paper analyses the role of corporate foresight (CF) as a future intelligence gathering process, which has come into widespread use in a business context where it is confronted with specific contextual, processual and methodological challenges. The results of a 2005/2006 survey on CF by the University of St Gallen in co-operation with Z_punkt are used as a starting point to provide insights into the goals, methods and use of CF in large corporations. Taking into account the challenges facing CF and the factors considered critical for its success, the paper outlines a historical contextualisation of CF practices from the 1980s onward, identifying the underlying assumptions - the 'dominant logic' - and opting for a new model of CF as 'open foresight'.     

The development of delinquency during adolescence: a comparison of missing data techniques

Conclusions on the development of delinquent behaviour during the life-course can only be made with longitudinal data, which is regularly gained by repeated interviews of the same respondents. Missing data are a problem for the analysis of delinquent behaviour during the life-course shown with data from an adolescents’ four-wave panel. In this article two alternative techniques to cope with missing data are used: full information maximum likelihood estimation and multiple imputation. Both methods allow one to consider all available data (including adolescents with missing information on some variables) in order to estimate the development of delinquency. We demonstrate that self-reported delinquency is systematically underestimated with listwise deletion (LD) of missing data. Further, LD results in false conclusions on gender and school specific differences of the age–crime relationship. In the final discussion some hints are given for further methods to deal with bias in panel data affected by the missing process.