Latest on Consumer Behavior
Divided We Shop: How the Brands We Buy Reflect Our Political Preferences
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Algorithm Pricing – Is it Fairer Than Human-Set Standards?
The Rise of Meddle Ads in Political Campaigns—and Why They’re Backfiring
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Why Brand Selfies Could Be Key to Boosting Social Media Engagement
Scaling Sustainability: Two Innovative Approaches to Tackling a Common Problem
New Research Finds Political Campaigns Raised Extra $43 Million in 2020 Using Deceptive Tactics
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Research In Brief
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Pre-checked Boxes Make People Spend More, But These ‘Dark Defaults’ Risk Jeopardizing Consumer Trust
Consumer Behavior Faculty
CBS Faculty Research on Consumer Behavior
Words That Matter: Analyzing the Causal Effect of Words
Language plays a crucial role in marketing, influencing outcomes such as consumer engagement and decision-making. Although prior research has extensively analyzed the relationship between linguistic features and business outcomes, most approaches have been descriptive or predictive, limiting their value for crafting more effective content. Understanding the causal effects of specific linguistic features is essential but challenging because, in real-world settings, the focal textual feature often changes simultaneously with other confounding factors.
What Makes Consumption Experiences Feel “Special”? A Multimethod Integrative Analysis
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Jennifer J Sun and Michel Tuan Pham
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- Forthcoming
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Journal Article
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- Journal of Consumer Research
This paper addresses a simple theoretical question of high substantive relevance: What makes a consumption experience special in a consumer’s mind?
Wikipedia Contributions in the Wake of ChatGPT
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- March 2, 2025
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Journal Article
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- The ACM Web Conference 2025 (Formerly WWW)
How has Wikipedia activity changed for articles with content similar to ChatGPT following its introduction? We estimate the impact using differences-in-differences models, with dissimilar Wikipedia articles as a baseline for comparison, to examine how changes in voluntary knowledge contributions and information-seeking behavior differ by article content. Our analysis reveals that newly created, popular articles whose content overlaps with ChatGPT 3.5 saw a greater decline in editing and viewership after the November 2022 launch of ChatGPT than dissimilar articles did.
Measuring population heterogeneity requires heterogeneous populations
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- February 18, 2025
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Journal Article
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- Proceedings of the National Academy of Science
Any judgment about population heterogeneity depends on the definition of the sampling frame (1). In a recent paper, Holzmeister et al. (2) (HJBK hereafter) compare different sources of heterogeneity to population heterogeneity. They find that population heterogeneity is much smaller compared to design and analytic heterogeneity as a source of variation in effect sizes.
Better Innovation for a Better World
We aim to stimulate discussion on how innovation research within marketing can use a better world (BW) perspective to help innovation become a driver of positive change in the world. In this "Challenging the Boundaries" series paper, we hope to provide purposeful research opportunities for scholars seeking to bridge innovation research with the BW movement. We frame our discussion with four areas of innovation research in marketing that are particularly relevant to BW objectives.
Knowledge, Morality, and the Appeal of Counterfeit Luxury Goods
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Ludovica Cesareo and Silvia Bellezza
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- January 17, 2025
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Journal Article
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- Journal of the Association for Consumer Research
Counterfeiting is a negative phenomenon, bearing undesirable consequences for both companies and consumers of the original brands. Yet some consumers, while acknowledging the immorality of counterfeiting, still have positive predispositions toward such fake products. Why? We investigate consumers’ reactions to counterfeits as a function of consumers’ subjective knowledge in the domain of fashion and luxury goods.
Algorithmic Pricing: Implications for Consumers, Managers, and Regulators
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Martin Spann, Marco Bertini, Oded Koenigsberg, Robert Zeithammer, Diego Aparicio, Yuxin Chen, Fabrizio Fantini, Ginger Zhe Jin, Vicki Morwitz, Peter Popkowski Leszczyc, Maria Ana Vitorino, Gizem Yalcin Williams, and Hyesung Yoo
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- January 15, 2025
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Working Paper
Personalized Game Design for Improved User Retention and Monetization in Freemium Games
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- Forthcoming
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Journal Article
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- International Journal of Research in Marketing
One of the most crucial aspects and significant levers that gaming companies possess in designing digital games is setting the level of difficulty, which essentially regulates the user’s ability to progress within the game. This aspect is particularly significant in free-to-play (F2P) games, where the paid version often aims to enhance the player’s experience and to facilitate faster progression.
Using natural language processing to analyse text data in behavioural science
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Stefan Feuerriegel, Abdurahman Maarouf, Dominik Bär, Dominique Geissler, Jonas Schweisthal, Nicolas Pröllochs, Claire E. Robertson, Steve Rathje, Jochen Hartmann, Saif M. Mohammad, Oded Netzer, Alexandra A. Siegel, Barbara Plank, and Jay J. Van Bavel
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- January 2, 2025
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Journal Article
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- Nature Reviews Psychology
Language is a uniquely human trait at the core of human interactions. The language people use often reflects their personality, intentions and state of mind. With the integration of the Internet and social media into everyday life, much of human communication is documented as written text. These online forms of communication (for example, blogs, reviews, social media posts and emails) provide a window into human behaviour and therefore present abundant research opportunities for behavioural science.