1,349
Views
3
CrossRef citations to date
0
Altmetric
REGULAR RESEARCH ARTICLE

Analyzing the Impact of the Leading Articles in the Journal of Advertising from Its First 50 Years: An Integrative Framework

ORCID Icon &
Pages 624-642 | Received 20 Feb 2022, Accepted 07 Jul 2022, Published online: 16 Aug 2022
 

Abstract

This article analyzes and integrates the 60 nominated articles for the best articles in the Journal of Advertising from its first 50 years, with a focus on the final 15 that were selected as the overall best articles. Hence, the purpose of this article is to highlight the contributions of these articles and their overall influence on advertising research. To this end, the authors synthesize these articles into an organizing framework that is used to analyze the contributions of this research collective. The framework also helps to understand distinct aspects of advertising and identify areas of research that can continue to build on the legacy of the contributions of these articles.

Acknowledgement

The authors thank Lisa Flynn for her assistance with the manuscript.

Additional information

Notes on contributors

Marla Royne Stafford

Marla Royne Stafford (PhD, University of Georgia) is William F. Harrah Distinguished Chair and Professor, Lee Business School, University of Nevada-Las Vegas.

Charles R. Taylor

Charles R. Taylor (PhD, Michigan State University) is John A. Murphy Professor of Marketing, Villanova School of Business, Villanova University.

This article is part of the following collections:
50 Years of the Journal of Advertising

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 158.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.