J
J. Jeffrey Inman
Researcher at University of Pittsburgh
Publications - 114
Citations - 12654
J. Jeffrey Inman is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: Shopper marketing & Context (language use). The author has an hindex of 48, co-authored 112 publications receiving 11130 citations. Previous affiliations of J. Jeffrey Inman include National Center for Genome Resources & NorthShore University HealthSystem.
Papers
More filters
Journal ArticleDOI
From Multi-Channel Retailing to Omni-Channel Retailing: Introduction to the Special Issue on Multi-Channel Retailing
TL;DR: In this paper, the authors discuss how shoppers are influenced and move through channels in their search and buying process, and present a research agenda to further guide future research in this area.
Journal ArticleDOI
Why Switch? Product Category–Level Explanations for True Variety-Seeking Behavior:
TL;DR: The authors explicitly separate true variety-seeking behavior (i.e., true variety seeking behavior) from choice behavior literature on variety seeking, and they address two key issues that have received inadequate attention in the choice behaviour literature.
Journal ArticleDOI
Promotion Signal: Proxy for a Price Cut?
TL;DR: In this article, the authors adopt the ELM's peripheral route to persuasion in which the promotion signal is taken as a cue for a price cut, and show that low need for cognition individuals react to the simple presence of a promotion signal whether or not the price of the promoted brand is reduced.
Journal ArticleDOI
The Interplay Among Category Characteristics, Customer Characteristics, and Customer Activities on In-Store Decision Making
TL;DR: In this paper, the authors explore product category and customer characteristics that affect consumers' likelihood of engaging in unplanned purchases and examine consumer activities that can exacerbate or limit these effects using a hierarchical modeling approach.
Journal ArticleDOI
What You Don'T Know About Customer-Perceived Quality: the Role of Customer Expectation Distributions
TL;DR: It is shown that some of the most common beliefs about customer-perceived quality are wrong, and a useful simplification of reality is provided that successfully predicts many aspects of the dynamics of consumer response to quality.