Essays on customization applications in marketing

Adıgüzel, F. ORCID: 0000-0002-5289-1701, 2006. Essays on customization applications in marketing. PhD, University of Groningen.

Preview

Text 1761039_Adiguzel.pdf - Published version Download (1MB) | Preview

Abstract

The primary objective of this thesis is to develop and validate new methodologies to improve the collection of data and the effectiveness of promotion customization. This thesis contains two essays. In these essays, we search for optimal combinations of components of questionnaires to design split questionnaires and product categories to offer promotions. The first essay deals with how to improve collection of data. We focus on split questionnaires to collect data instead of using the more typical long questionnaires (i.e. more than 20 minutes) in marketing. In split questionnaires, different respondents respond different parts of the questionnaire. After generating different split questionnaires and administrating them to respondents, we impute data for the missing parts using the other people’s responses to those missing parts. In the end, we obtain almost the same information with split questionnaires as with complete questionnaires, but in a shorter time with less cost and obtaining better quality responses (less item nonresponse, higher response and more accurate responses). The second essay is a cross-category promotion customization problem. Currently, many multicategory models are restricted to a smaller number of categories, and the main purpose in these studies is to understand any type of demand relationship across product categories. Retailers can use cross-category relatedness for delivery of point-of-purchase materials, cross-category coupons, creative store layout, and online feature ad design. Based on previous purchases of customers, we model customers’ decision of which categories to purchase and how much to spend and later search for the optimal categories to promote.

Item Type:	Thesis
Creators:	Adıgüzel, F.
Date:	19 June 2006
ISBN:	9053350896
Identifiers:	Number Type 1761039 Other
Rights:	© 2006, Feray Adıgüzel. All rights reserved. No part of this publication may be reprinted or utilized in any form or by any electronic, mechanical or other means, now known or hereafter invented, including photocopying and recording, or in any information storage or retrieval system, without written permission from the copyrights owner.
Divisions:	Schools > Nottingham Business School
Record created by:	Jonathan Gallacher
Date Added:	28 Feb 2024 12:03
Last Modified:	28 Feb 2024 12:03
URI:	https://irep.ntu.ac.uk/id/eprint/50974

Actions (login required)

Edit View

Views

Downloads