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J Acad Mar Sci

Introduction

Journal of the Academy of Marketing Science, 53(3)

POSTING TYPE: TOCs


Editorial

Generative artificial intelligence: Marketing’s death knell or ringing in a new era?
Gaia Rubera, Weifeng Li, John Hulland []

Commentary

Empowering GenAI stakeholders
Erik Hermann, Stefano Puntoni []

Generative AI in innovation and marketing processes: A roadmap of research opportunities
Paola Cillo, Gaia Rubera []

How generative AI Is shaping the future of marketing
Dhruv Grewal, Cinthia B. Satornino, Thomas Davenport, Abhijit Guha []

A whole new world, a new fantastic point of view: Charting unexplored territories in consumer research with generative artificial intelligence
Kiwoong Yoo, Michael Haenlein, Kelly Hewett []

There is business like show business! What marketing scholars and managers can learn from 40 years of entertainment science research
Ronny Behrens, Ann-Kristin Kupfer, Thorsten Hennig-Thurau []

Recycle right: How to decrease recycling contamination with informational point-of-disposal signage
Aylin Cakanlar, Megan Hunter, Gergana Y. Nenkov []

The paradox of product scarcity: Catalyzing the speed of innovation diffusion
Surya Pathak, P. V. Sundar Balakrishnan []

Expressions of customer rumination in online posts and firm responses
Hai-Anh Tran, Yuliya Strizhakova, Bach Nguyen, Samuel G. B. Johnson []

Creative performance in professional advertising development: The role of ideation templates, consumer insight, and intrinsic motivation
Alexander Tevi, John Parker, Scott Koslow, Lawrence Ang []

Unpacking when and how customer involvement as co-developer affects supplier new product performance
Ghasem Zaefarian, Constantine S. Katsikeas, Zhaleh Najafi-Tavani, Matthew J. Robson []

The effect of second screening on repeat viewing: Insights from large-scale mobile diary data
Sarah Gelper, Mitchell J. Lovett, Renana Peres []

Shifting perspectives: How communicating user innovations’ self-focus enhances adoption
Helen Si Wang, Chi Kin (Bennett) Yim []

The Taguchi approach to large-scale experimental designs: A powerful and efficient tool for advancing marketing theory and practice
Jordan W. Moffett, Patrick Fennell, Colleen M. Harmeling, Daniel Sheehan, Alexander Bleier []