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Joseph Leunis

Researcher at The Catholic University of America

Publications -  9
Citations -  491

Joseph Leunis is an academic researcher from The Catholic University of America. The author has contributed to research in topics: Public policy & Risk perception. The author has an hindex of 6, co-authored 9 publications receiving 487 citations.

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Consumer Acceptance of the Internet as a Channel of Distribution

TL;DR: In this paper, the viability of the World Wide Web (WWW) as a channel of distribution is investigated and two research questions are studied: (1) comparison of two non-store retailing channels with two store channels, and (2) consumer reaction when channel functions are transferred to the Internet.

Predicting Mail-Order Repeat Buying: Which Variables Matter?

TL;DR: In this article, a customer-oriented conceptual model of segmentation variables for mail-order repeat buying behavior was proposed, and the authors investigated from a theoretical perspective what customer-related variables should be included in response models for modeling repeat purchasing, and empirically validated how these variables perform for predictive purposes.
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Perceived risk and rise reduction strategies in mail-order versus retail store buying

TL;DR: In this article, the authors examined the differential impact of perceived risk upon two alternative channels of distribution, namely, a specialty store and mail-order buying, for different product categories.
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Public policy and the establishment of large stores in Belgium

TL;DR: In this article, the authors analyzed the impact of the Business Premises Act on the development of supermarkets and hypermarkets and concluded that the Act has had an impact although this may have been an unintended one in that retailers have changed behaviour to surmount the Act.
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Database marketing modelling for financial services using hazard rate models

TL;DR: In this article, the authors investigated the effectiveness of using direct mail message as an element in the communication mix of a financial retail company and found that the combined effect of several direct mail messages exhibits diminishing returns to scale, incorporating time-varying variables in the model significantly improves model results.