Eelko K. R. E. Huizingh

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Applying the resource-based view of the firm to technology adoption, we hypothesize that differences in adoption among firms can be attributed to a sense-and-respond capability of firms with respect to new technologies technological opportunism. Using survey data from senior managers, we establish the distinctiveness of technological opportunism and show(More)
Koen Pauwels a,∗, Peter S.H. Leeflang b, Marije L. Teerling c,1, K.R. Eelko Huizingh d a Ozyegin University, Kusbakisi Street 2, 34662 Altunizade, Üsküdar, İstanbul, Turkey b Marketing Department of University of Groningen, Faculty of Economics and Business, The Netherlands c Telematica Instituut, P.O. Box 589, 7500 AN Enschede, The Netherlands d Department(More)
Acknowledgments The authors thank KLICT: Chain networks, clusters, and ICT for financial support for part of this project; Olga Gommers for valuable research assistance; for insightful comments and suggestions; and an anonymous food product manufacturer for its valuable support of this project. Abstract In this article, the authors investigate consumers'(More)
Most innovation researchers tend to consider innovation adoption as a binary process, implying that companies have either adopted an innovation or not. In this paper we focus on e-commerce as an innovation that can be adopted stepwise. We distinguish between two levels of e-commerce, basic and advanced. Following Rogers’ (1995) innovation adoption model, we(More)
Marketing Decision Support Systems (MDSS) show a large variety in functionality and form. In this paper a scale is developed that measures the sophistication of a Marketing Decision Support System. This scale, based on Guttman's Scalogram Analysis, is hierarchical in nature: more sophisticated MDSS have (also) the capabilities of less sophisticated systems(More)