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Emerging direct-to-consumer brands offer a single option to consumers before expanding their assortment as the business grows. This provides a counterexample to commonly held beliefs concerning consumers’ aversion to single options. The purpose of this paper is to study when, for whom and why offering two product options (vs a single option) is valued by consumers.

Across six experiments, this research investigates consumers’ locomotion orientation (a motivation for controlling progress), which affects the valuation of choice (vs single options).

Consumers’ locomotion orientation determines perceived product value for products chosen from a two-option set (vs when considering a single option) because choice offers active control, which is engaging for high-locomotion consumers. Expanding the set to six options has no such effect.

Studies 1, 4a and 4b are set in the context of expert-selected single options, while Studies 2, 3 and 5 do not involve expert selection. However, the authors does not contrast expert vs non-expert conditions directly.

Managers can increase consumers’ willingness to pay by using advertisements to induce locomotion or segmenting consumers based on locomotion orientations.

Research suggests that consumers value choice between options, yet many emerging brands succeed with a single option. The authors reconcile this by providing insights into motivations that determine when, for whom and why choice (vs a single option) is valued.

This paper aims to investigates the effect of normative expectations in the purchase process on consumers’ value perceptions for prosocial products (e.g. environmentally friendly products) relative to conventional non-prosocial products. It extends the literature on both prosocial products and regulatory fit.

Five factorial experiments are employed, testing diverse samples, including Dutch university students and American online panel participants from the general population.

Findings show that regulatory fit between the prosocial product orientation and an emphasis on normative expectations in the purchase process (termed prosocial process fit) increases perceptions of prosocial product value (relative to conventional products). This effect is mediated by engagement.

The current research is limited to investigating how value perceptions of prosocial products can be increased (i.e. through prosocial process fit). Future research is warranted that analogously considers conditions that would increase value for non-prosocial products as well (e.g. by creating a fit with a non-prosocial process).

The research shows how prosocial manufacturers and retailers can redesign the purchase process to increase customers’ engagement, perceptions of prosocial product value and prosocial product purchase.

This work serves to explain differences in consumers’ value perceptions for prosocial products. Hence, it shows how socially responsible consumption can be better supported in society.

This work demonstrates a new kind of regulatory fit based on fit between prosocial products and normative expectations in the purchase process (i.e. moving beyond the types of regulatory fit previously examined in this context, such as with fit between regulatory focus orientation and goal pursuit). The authors use this to provide a much needed explanation for the heterogeneity in the literature regarding the value that consumers experience for prosocial products relative to conventional ones.

Misinformation is notoriously difficult to combat. Although social media firms have focused on combating the publication of misinformation, misinformation accusations, an important by-product of the spread of misinformation, have been neglected. The authors offer insights into factors contributing to the spread of misinformation accusations on social media platforms.

The authors use a corpus of 234,556 tweets about the 2020 US presidential election (Study 1) and 99,032 tweets about the 2022 US midterm elections (Study 2) to show how the sharing of misinformation accusations is explained by locomotion orientation.

The study findings indicate that the sharing of misinformation accusations is explained by writers' lower locomotion orientation, which is amplified among liberal tweet writers.

Practitioners and policymakers can use the study findings to track and reduce the spread of misinformation accusations by developing algorithms to analyze the language of posts. A limitation of this research is that it focuses on political misinformation accusations. Future research in different contexts, such as vaccines, would be pertinent.

The authors show how social media firms can identify messages containing misinformation accusations with the potential to become viral by considering the tweet writer's locomotion language and geographical data.

Early identification of messages containing misinformation accusations can help to improve the quality of the political conversation and electoral decision-making.

Strategies used by social media platforms to identify misinformation lack scale and perform poorly, making it important for social media platforms to manage misinformation accusations in an effort to retain trust. The authors identify linguistic and geographical factors that drive misinformation accusation retweets.

This study employs S-D Logic to examine the hotel booking behaviors of individuals, with a focus on the impact of service customization on service cancellation. Additionally, the moderating role of social co-creation is explored to provide further insight.

The paper draws on booking data from two hotels: a resort hotel with 40,060 recorded bookings, including 11,122 cancellations, and bookings from a city hotel with 79,330 bookings, including 33,102 cancellations.

The result reveals that bookings with higher levels of initial customization, such as special requests, are more likely to be modified later and less likely to be canceled. Interestingly, while multi-adult bookings were found to have a higher cancellation rate than individual bookings, the effects of customization commitment were more pronounced for multi-adult bookings.

This paper is the first to establish a connection between service customization, the number of adults on a booking and the likelihood of cancellation, thus providing new empirical evidence for the emergence of customization effects in services. Additionally, the study identifies important contingencies based on the number of consumers in a booking.

Academic research has supported the belief that consumers undertip minority race service workers due to implicit racial biases. However, there has been less focus in examining possible moderating factors. This paper aims to fill this gap by analyzing the role of direct and indirect experience in tipping frontline service workers from a minority background. Given the prominence of customer ratings on digital service platforms and the perception that African Americans are discriminated against, the authors look at the interplay of interaction length (direct experience) and customer ratings (indirect experience) on the relationship between race and tipping.

An expectancy disconfirmation framework was developed and tested with a sample of 360 US participants in an online experiment. The experiment followed a 2 × (race: African-American versus Caucasian) × 2 (direct experience: limited versus extensive) × 3 (indirect experience: absent versus positive versus negative customer rating) design.

The authors found consumers who have extended direct experience (longer service interaction) and no indirect experience (absent customer ratings) tipped African Americans more than Caucasians. Interestingly, this effect is reduced in the presence of indirect experience (customer ratings). Finally, where the consumer lacks direct experience (shorter service interaction) but is exposed to positive indirect experience (positive customer ratings), consumers tip African Americans more.

To the best of the authors’ knowledge, this is the first paper that examines the role of direct and indirect experience in the relationship between race and tipping. Based on the authors’ findings, the authors provide several contributions, including recommendations to reduce inequalities arising from implicit racial bias on digital service platforms.

This special issue explores how marketing thought and practice have contributed to systemic racism but could alleviate racially insensitive and biased practices. An introductory historical overview briefly discusses coloniality, capitalism, eugenics, modernism, transhumanism, neo-liberalism, and liquid racism. Then, the special issue articles on colonial-based commodity racism, racial beauty imagery, implicit racial bias, linguistic racism and racial imagery in ads are introduced.

The historical introduction is grounded in a review of relevant literature.

Anti-racism efforts must tackle the intersection between neo-liberalism and racial injustice, the “raceless state” myth should be re-addressed, and cultural pedagogy’s role in normalizing racism should be investigated.

To stop perpetuating raced markets, educators should mainstream anti-racism and marketing. Commodity racism provides a historical and contemporary window into university-taught marketing skills.

Anti-racism efforts must recognize neo-liberalism’s pervasive role in normalizing raced markets and reject conventional wisdom about a raceless cultural pedagogy, especially with the emergence of platform economies.

Little previous research has tackled the history of commodity racism, white privilege, white ideology, and instituting teaching practices sensitive to minority group experiences.