‘Good’ case research in industrial marketing: Insights from research practice

The purpose of this article is to contribute to the emerging debate about the use of the case methodology in industrial marketing. We conducted a content analysis of the 145 case studies published in three key journals (Industrial Marketing Management, Journal of Business-to-Business Marketing and Journal of Business and Industrial Marketing) over a 10-year period (1997-2006). The findings highlight the dominance of case research in qualitative industrial marketing research. They also lead us to distinguish between three different practices that influence perceptions of ‘good’ case research in this scholarly domain: ‘common’ practice, ‘best practice’ and ‘innovative’ practice. Our contribution lies in problematising what ‘good’ case research is, and showing how research practice - not just methodological literature - has a role in generating methodological conventions in a disciplinary field.     

The use of limited dependent variable techniques in strategy research: issues and methods

Strategy researchers are increasingly turning their attention from examining the impact of strategic choices on firm performance to examining the factors that determine strategic choices at the firm level. This shift of research orientation has meant that researchers are increasingly faced with a limited dependent variable (LDV) that takes a limited number of usually discrete values, for which LDV methods such as logit or probit are required. Despite their growing popularity, there appears to be widespread problems in the use of LDV methods. This research note complements recent studies that offer general guidelines by presenting and illustrating the practical steps needed to implement the methods essential for analyzing and interpreting the results from LDV models. Copyright © 2009 John Wiley & Sons, Ltd.     

Triggers for virtual customer integration in the development of medical equipment — From a manufacturer and a user's perspective

Virtual customer integration (VCI) involves customers throughout all stages of the new product development process. Firms across industries have started to experiment with virtual user integration and expect to utilize their knowledge, creativity, and judgment. However, little research exists that looks at the motivations of customers and managers to engage in virtual product development projects. In this paper we try to identify the triggers for virtual customer integration (VCI) from the manager's as well as from the customer's perspective. Using Ajzen's Theory of Planned Behavior we aim at explaining managers' motivation for the adoption of VCI based on a sample of 104 managers engaged in the product development process of manufacturing firms of medical technology. Drawing on motive research, we test six categories of customer motivations to engage in VCI projects on a sample of 105 users of medical technology. The results show that for mangers subjective norms and attitude predict the intention to use VCI. For customers, interest in innovation and product improvement are the most important drivers, whereas monetary compensation and prestige are not significant, and surprisingly the desire to help people even has a negative impact on the participation of VCI.