Knowledge that Transforms

Abstract Generative AI (Gen AI) is shaping the future of marketing. In the next decade, Gen AI will influence how marketers interact and communicate with customers, help create and deliver marketing content (text, images, and video), and inform methods for researching and developing new products and services. In both service and sales settings, Gen AI will affect customers directly and significantly. Therefore, marketers, researchers, and public policy makers require a clear understanding of Gen AI and its potential, as well as its limitations. To assist marketers in thinking through the adoption and implementation of Gen AI, the current article presents a four-quadrant organizing framework that highlights trade-offs in both the nature of Gen AI inputs and the extent of human augmentation needed to deliver Gen AI–generated outputs. This framework provides guidance for the selection and implementation of Gen AI tools, as well as recommendations for further research.

Abstract In this article we develop a comprehensive understanding of diverse representation in advertising. While numerous studies highlight increasing demand for diversity among some consumers, such enthusiasm is not universal. This is creating challenges for brands, some of which have faced backlash, either due to a perceived lack of authenticity in their diversity efforts or because not all consumer groups value diversity equally. Amidst these challenges, technological advancements, such as data-driven decision-making and generative AI, present both new opportunities and risks. The current literature on diverse representation in advertising, although expansive, is relatively siloed. Through a detailed eight-step process, we assess and synthesize the body of literature on diversity representation, reviewing 337 articles spanning research on age, beauty, body size, gender, LGBTQIA+ , physical and mental ability, and race and ethnicity. Our investigation offers two major contributions: a summarization of insights from the broader literature on these seven key areas of diverse representation and development of an integrated conceptual framework. Our conceptual framework details mechanisms, moderators, and outcomes that are either prevalent across the literature or can be reasonably expected to generalize across other forms of diversity. This framework not only offers a holistic perspective for academics and industry professionals but also exposes potential future research avenues.

Abstract Plastic pollution represents a grand challenge facing society, yet the amount of plastic being recycled is only about 5%. This recycling crisis has intensified with the growing problem of recycling contamination (i.e., incorrect placement of unrecyclable materials in recycling receptacles). This research investigates the potential for informational point-of-disposal recycling signage to decrease recycling contamination. In a longitudinal field study and three experiments, the authors demonstrate that providing schema-congruent prescriptive information (“Recycle these items”) does not reduce recycling contamination and may inadvertently lead to over-recycling. In contrast, the presence of proscriptive information that is moderately incongruent with established schemas (“Do not recycle these items”) prompts more effortful, piecemeal processing. This encourages individuals to integrate the information into their recycling decisions, diminishing their dependence on pre-existing beliefs and expectations regarding recycling and, consequently, lowering contamination rates. Recycling expertise is found to moderate the effects of point-of-disposal recycling signage. By examining such nuanced recycling communication strategies, this research aims to shift the conversation from “recycle more” to “recycle right.”

Abstract As influencer marketing evolves into a dominant force in the marketing landscape, it necessitates a deeper theoretical exploration to understand its strategic implementations and impacts. This article examines the dynamics of influencer marketing within the growing creator economy, emphasizing the interactions among firms, influencers, followers, and digital platforms. We introduce a novel, equity-driven framework that analyzes how influencers contribute to customer equity, how influencers manage and leverage the value from their followers, and how platforms maximize the value from their users. We detail the complex relationships and value exchanges within the influencer marketing ecosystem, highlighting the challenges of measuring the return on investment and influencers’ strategic use of content to maintain authenticity and influence. By synthesizing diverse academic literature and current industry practices, this manuscript provides a comprehensive overview of the mechanisms of value creation and exchange in influencer marketing, offers strategic implications for marketers aiming to optimize their influencer engagements, and outlines future work in the form of the eleven “INFLUENCERS” research directions.

Abstract The now-mature sharing economy has not delivered on its original utopian promises. Instead of providing prosocial benefits for consumers and society, incumbent platforms dominate monopolistic markets. In this article, we study a novel business model in the sharing economy––the platform cooperative––to ask how can a responsible marketing strategy can be viable and effective for market challengers. We draw on a qualitative, ethnographic study of the lived experiences of consumers and managers in leading platform cooperatives Fairbnb and Drivers Cooperative, and find that while challengers cannot overhaul the system, they can engender change from the margins. We identify three dimensions of a change from the margins strategy in decentralizing the marketplace, shaping authentic narratives, and building institutional partnerships. We discuss implications of a responsible marketing strategy for market incumbents and challengers within the sharing economy and beyond, and for theorizing new frameworks in the marketing strategy literature.