T
Thomas J. Reynolds
Researcher at University of Texas at Dallas
Publications - 36
Citations - 4094
Thomas J. Reynolds is an academic researcher from University of Texas at Dallas. The author has contributed to research in topics: Laddering & Consumer behaviour. The author has an hindex of 20, co-authored 36 publications receiving 3926 citations.
Papers
More filters
Journal ArticleDOI
Laddering theory, method, analysis, and interpretation.
TL;DR: The focus of this article is on detailing the specifics of the in-depth interviewing and analysis methodology, termed “laddering”, for uncovering means-end hierarchies defined by these key elements and their linkages or connections.
BookDOI
Understanding Consumer Decision Making : The Means-end Approach To Marketing and Advertising Strategy
TL;DR: Reynolds and Westberg as mentioned in this paper used Laddering methods to identify means-end chains and developed an approach to understand consumer decision-making, and developed and assessed advertising strategy.
Journal ArticleDOI
Advertising Is Image Management
TL;DR: The advertising function may be equated, at least in part, to the creation and management of product imagery; that is, the set of meanings and associations that serve to differentiate a product or service from its competition.
Consumer Understanding and Advertising Strategy: Analysis and Strategic Translation of Laddering Data
TL;DR: In this paper, the authors present a software support tool to make the data analysis a more reasonable task and discuss the issue of strategy development and implementation for laddering as a management technique.
Patent
Determining Strategies for Increasing Loyalty of a Population to an Entity
TL;DR: In this paper, a theoretical framework for designing psychological research that uncovers individual decision-making networks, both in terms of sampling requirements and questioning methods, is presented, along with an implementation interface to schedule and administer the appropriate question sequences between an interviewer and a given individual, in real-time, via a web-based system.