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An editorial is presented in which the authors consider the effects of artificial intelligence (AI) on scholarly publishing, with particular focus given to consumer research. Topics of discussion include digitization of consumer research practice, questions surrounding the use of GenAI during the research process, the use of GenAI as a support tool in editorship, and human adoption of AI.

This article reflects on the study of consumer-related emerging topics in the Journal of Consumer Research (JCR) and looks ahead to consider what the next generation of emergent issues might be that capture consumer researchers' attention and interest. Drawing on conversations with eminent scholars who have made major contributions to JCR by introducing emerging topics to our literature, the author (i) provides a commentary of past approaches to researching novel emerging topics, (ii) suggests some domains from which new emerging topics for consumer research can be sourced, such as new digital technologies (e.g. artificial intelligence) and major societal challenges (e.g. climate change, sustainability, and health), and (iii) offers guidance on how to approach research on important emerging topics. [ABSTRACT FROM AUTHOR]

Marketers are adopting increasingly sophisticated ways to engage with customers throughout their journeys. We extend prior perspectives on the customer journey by introducing the role of digital signals that consumers emit throughout their activities. We argue that the ability to detect and act on consumer digital signals is a source of competitive advantage for firms. Technology enables firms to collect, interpret, and act on these signals to better manage the customer journey. While some consumers' desire for privacy can restrict the opportunities technology provides marketers, other consumers' desire for personalization can encourage the use of technology to inform marketing efforts. We posit that this difference in consumers' willingness to emit observable signals may hinge on the strength of their relationship with the firm. We next discuss factors that may shift consumer preferences and consequently affect the technology-enabled opportunities available to firms. We conclude with a research agenda that focuses on consumers, firms, and regulators., Author(s): David A. Schweidel [sup.1] , Yakov Bart [sup.2] , J. Jeffrey Inman [sup.3] , Andrew T. Stephen [sup.4] , Barak Libai [sup.5] , Michelle Andrews [sup.1] , Ana Babic [...]

Marketing scholars increasingly use web scraping and application programming interfaces (APIs) to collect data from the internet. Yet, despite the widespread use of such web data, the idiosyncratic and sometimes insidious challenges in its collection have received limited attention. How can researchers ensure that the data sets generated via web scraping and APIs are valid? While existing resources emphasize technical details of extracting web data, the authors propose a novel methodological framework focused on enhancing its validity. In particular, the framework highlights how addressing validity concerns requires the joint consideration of idiosyncratic technical and legal/ethical questions along the three stages of collecting web data: selecting data sources, designing the data collection, and extracting the data. The authors further review more than 300 articles using web data published in the top five marketing journals and offer a typology of how web data have advanced marketing thought. The article concludes with directions for future research to identify promising web data sources and embrace novel approaches for using web data to capture and describe evolving marketplace realities. [ABSTRACT FROM AUTHOR]

Chatbots have become common in digital customer service contexts across many industries. While many companies choose to humanize their customer service chatbots (e.g., giving them names and avatars), little is known about how anthropomorphism influences customer responses to chatbots in service settings. Across five studies, including an analysis of a large real-world data set from an international telecommunications company and four experiments, the authors find that when customers enter a chatbot-led service interaction in an angry emotional state, chatbot anthropomorphism has a negative effect on customer satisfaction, overall firm evaluation, and subsequent purchase intentions. However, this is not the case for customers in nonangry emotional states. The authors uncover the underlying mechanism driving this negative effect (expectancy violations caused by inflated pre-encounter expectations of chatbot efficacy) and offer practical implications for managers. These findings suggest that it is important to both carefully design chatbots and consider the emotional context in which they are used, particularly in customer service interactions that involve resolving problems or handling complaints. [ABSTRACT FROM AUTHOR]

The article offers information about manuscript review process by relevance, what makes some papers more publication-worthy than others, by using words like interesting, novel, insightful, useful, impactful, or important.

Social platforms facilitate the daily interactions of billions of people globally. Prior research generally concludes that social platforms negatively affect people's welfare. This research reopens this debate by using a robust methodology to examine the time series effects of social platform use on users' subjective well‐being, psychological well‐being, physical health, and financial security. We report a 6‐month longitudinal study of 1029 adults. Participants' daily time using social platforms on their mobile device was unobtrusively tracked and their well‐being was measured every 2 weeks. The findings suggest a small, positive effect of time spent using social platforms on both subjective well‐being and psychological well‐being (but no significant effects on physical health or financial security). Further, it is time spent using social platforms that facilitate interactions with intimate/close ties, that is correlated with positive subjective and psychological well‐being. [ABSTRACT FROM AUTHOR]