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Anecdotal evidence suggests that casting actors with similar facial features in a movie can pose challenges in foreign markets, hindering the audience's ability to recognize and remember characters. Extending developments in the literature on the cross-race effect, we hypothesize that facial similarity – the extent to which the actors starring in a movie share similar facial features – will reduce the country-level box-office performance of US movies in East and South-East Asia (ESEA) countries.

We assembled data from various secondary data sources on US non-animation movies (2012–2021) and their releases in ESEA countries. Combining the data resulted in a cross-section of 2,616 movie-country observations.

Actors' facial similarity in a US movie's cast reduces its box-office performance in ESEA countries. This effect is weakened as immigration in the country, internet penetration in the country and star power increase and strengthened as cast size increases.

This first study on the effects of cast's facial similarity on box-office performance represents a novel extension to the growing literature on the antecedents of movies' box-office performance by being at the intersection of the two literature streams on (1) the box-office effects of cast characteristics and (2) the antecedents, in general, of box-office performance in the ESEA region.

The purpose of this paper is to analyze to what extent and in what ways signaling theory has been explored within the field of international marketing. This paper systematically reviews the use of signaling theory in the field of international marketing. Communication is a core aspect of the international marketing process. Research in this field has explored effective and unique ways of improving the communication flow to reduce the asymmetry of information between international consumers and the firm. This notion is adopted, enhanced and strengthened by signaling theory. Signaling theory has recently received the attention of international marketing scholars.

The systematic review methodology was applied for the purpose of identifying the relevant studies. We extracted academic articles over the last 23 years from the domain of international marketing that directly contribute to signaling theory based on 57 journal articles extracted through the systematic review process.

Based on systematic research the results reveal that the topic has grown and continues to expand within the broader international marketing field. We offer a theoretical conceptual framework to better understand signaling theory in the context of international marketing.

The authors map and critically evaluate the use of signaling theory in international marketing. Relevance of signaling theory in international marketing is growing and authors present an integrative framework that organizes the existing literature, and provides scholars to further expand on emerging themes of the domain. The paper offers some useful future research directions.

This secondary source case is based mainly on legislative documents (that tracked the initiation and progress of the Parental Rights in Education bill that later became an Act), corporate documents (published by The Walt Disney Company) and news articles from publications such as The New York Times and Bloomberg. All sources are cited in the case narrative and as end notes.

In April 2022, The Walt Disney Company and its CEO, Robert Chapek, were at the center of a controversy over the company’s opposition to the State of Florida’s Parental Rights in Education bill. The bill, dubbed “Don’t Say Gay” by its critics, prohibited instruction on sexual identity and gender orientation in the state’s elementary schools. The controversy stemmed from Disney’s initial non-reaction to the bill and its later strident opposition and call for its repeal. Chapek was pressured by negative media publicity and employee disgruntlement on the one hand and adverse economic consequences for opposing the bill by the state’s Governor, Ron DeSantis. Chapek and the Board had to respond to the political threats to Disney’s economic well-being while appeasing its employees and other stakeholders who wanted the company to be a corporate champion in diversity, equity and inclusion.

The case is best suited for advanced undergraduate or graduate leadership, strategic management and marketing courses. From a leadership and strategic management perspective, the case is well-suited for demonstrating the evolving expectations of leaders and corporate social responsibility, as well as the concepts of issue framing and nonmarket management. Instructors may also leverage the case in marketing courses (e.g. brand management), as CEO activism (i.e. messaging and practice) is one characteristic of brand activism (Animation Guild, 2022).

This paper seeks to demonstrate the value of using social media to capture fashion trends, including the popularity of specific features of clothing, in order to improve the speed and accuracy of supply chain response in the era of fast fashion.

This study examines the role that text mining can play to improve trend recognition in the fashion industry. Researchers used n-gram analysis to design a social media trend detection tool referred to here as the Twitter Trend Tool (3Ts). This tool was applied to a Twitter dataset to identify trends whose validity was then checked against Google Trends.

The results suggest that Twitter data are trend representative and can be used to identify the apparel features that are most in demand in near real time.

The 3Ts introduced in this research contributes to the field of fashion analytics by offering a novel method for employing big data from social media to identify consumer preferences in fashion elements and analyzes consumer preferences to improve demand planning.

The 3Ts improves forecasting models and helps inform marketing campaigns in the apparel retail industry, especially in fast fashion.

This case was written with publicly available information about Nintendo.

In the 1980s and 1990s, Nintendo dominated the video game industry with a market share of 90%. In 2020, Nintendo’s market share dropped to nearly 31%. This case examines a 40-year history of Nintendo, including its core strategy of video game and video game console development and its growth strategy using its intellectual property. Throughout its history, Nintendo has faced and continues to face stiff competition from Sony, Microsoft and new emerging technologies like virtual reality video games. Nintendo has the challenge of competing in a rapidly changing industry with changing customer preferences where it once had a dominant market share. Can Nintendo continue competing, relying on its core competency of developing new video games and consoles? Or moving forward, should it further define itself more broadly by continuing to leverage its intellectual property in the entertainment industry?

This case is suitable for undergraduate courses in marketing, marketing management and business strategy, or where an instructor focuses on strategic decision-making. This case will provide valuable in-class discussions on the importance of defining what a business should do and how it should grow. Additionally, this case will be useful for courses that include advanced discussions on tradeoffs between focusing on core competencies and growth by expanding into other opportunities that are not necessarily part of a business’s core strategy. A portion of this case was tested in an undergraduate marketing strategy and marketing principles course. The case created an excellent environment for critical thinking and analysis.

Designing and developing responsible business practices can create various tensions for service organizations. The purpose of this research is to develop a deeper understanding of the relationship between customer engagement (CE) and responsible business practices (e.g. environmental, social and/or governance [ESG], corporate social responsibility [CSR] and diversity, equity, and inclusion [DEI]) and explore customer engagement tensions that service organizations may face.

This research develops a list of CE-related responsible business practice tensions and empirically explores their relevance through in-depth interviews with nine ESG professionals.

This paper makes three important contributions. First, we find support for nine distinct but related tensions with implications for CE that organizations must navigate when pursuing responsible business practices. Second, interview participants provide some suggestions for tackling these tensions, which we support with relevant theories. Finally, we develop a conceptual framework that may stimulate future service research and inform the implementation of ESG strategies.

To the best of the authors’ knowledge, this research is the first to conceptualize and empirically explore the tensions that emerge between responsible business practices and CE. The authors develop a novel analysis of the CE-related tensions that emerge when pursuing an ESG strategy.

The findings are based on a small sample of ESG professionals. Future research may take a quantitative approach to further evaluate the role that these tensions play in engaging customers.

This research provides a conceptual framework that may guide ESG professionals in understanding, framing and navigating CE-related tensions when pursuing responsible business practices.

A social benefit may be found when service organizations are better able to successfully navigate CE-related tensions when pursuing responsible business practices.

This study aims to examine the impact of consumer risk appetite, biases (specifically negative recency bias), and the importance of reviews in enhancing information quality. By analyzing these variables, the authors gain insights into their role in enriching the overall information spectrum available to consumers. The findings contribute to a better understanding of how risk appetite, biases and consumer reviews shape the quality of information.

The questionnaire assessed the relationship between dependent and independent variables by asking participants to rate their experiences in relevant scenarios. Variance-based structural equation modeling with the ADANCO program was used to examine the data. ADANCO software is used explicitly for variance-based structural equation modeling. To evaluate research models and test hypotheses, partial least square path modeling is used.

The efficiency of reviews and ratings is greatly influenced by consumer risk appetite. Businesses should focus on clients who are willing to take risks and balance positive and negative feedback. It is essential to comprehend how customers understand reviews. Credibility is increased by taking biases into account and encouraging unbiased criticism. Promoting thorough reviews strengthens influence. Monitoring and making use of these elements improve online reputation and commercial success.

The research has limitations due to the simplicity of the attributes taken into account and the requirement for a larger sample size. Overcoming barriers to promote consistent client feedback is essential, and tailored emails can help with assessment generation. Increased customer participation in writing evaluations can be achieved by removing obstacles and highlighting the advantages of participation.

Businesses and buyers rely on this “organically” generated content as the basis of their promotional strategy and buying decisions. Most of the research is related to consumer reviews, their behavior and the importance of social validation. However, some critical aspects related to this need further investigation.

Consumer-perceived review attitude determines consumer overall information adoption and is a core part of consumer’s online-shopping. This study aims to focus on factors that could influence consumer review attitude and can be used by marketers to shape individual information perception.

The study used the questionnaire method to collect data from online shoppers and the modelling of structural equations as an empirical approach to analyse the data.

The findings demonstrate that both systematic and heuristic cues impact the reviewer’s credibility and perceived website attitude differently, which, in turn, influence review attitude. Review characteristics, such as factuality, consistency and relevancy, have a positive relationship with reviewer credibility, while only review consistency and relevancy appears to have a relationship with review attitude. Website characteristics such as reputation, familiarity and social interactivity positively influence the website attitude, which positively influences review attitude. Apart from this, review skepticism has a significant negative relationship with review attitude.

This study could help to foster a positive attitude towards online reviews. Digital marketers need to motivate trusted reviewers to post consistent, fact-based reviews. Further improving the overall website reputation and interactivity could bring a positive attitude towards the reviews. Also, digital marketers must filter and avoid contradictory reviews or reviews that have a bipolar message and reviews expressing numerous emotions to enhance review relevance and consistency.

The current study addresses the need to understand the formation of consumer review attitude through both review and website characteristics using heuristic – systematic model. The paper captures the complex process undergone by the consumer to decipher review attitude and thereby extend the understanding of consumer information processing.

Given the critical role of user-generated content (UGC) in e-commerce, exploring various aspects of UGC can aid in understanding user purchase intention and commodity recommendation. Therefore, this study investigates the impact of UGC on purchase decisions and proposes new recommendation models based on sentiment analysis, which are verified in Douban, one of the most popular UGC websites in China.

After verifying the relationship between various factors and product sales, this study proposes two models, collaborative filtering recommendation model based on sentiment (SCF) and hidden factors topics recommendation model based on sentiment (SHFT), by combining traditional collaborative filtering model (CF) and hidden factors topics model (HFT) with sentiment analysis.

The results indicate that sentiment significantly influences purchase intention. Furthermore, the proposed sentiment-based recommendation models outperform traditional CF and HFT in terms of mean absolute error (MAE) and root mean square error (RMSE). Moreover, the two models yield different outcomes for various product categories, providing actionable insights for organizers to implement more precise recommendation strategies.

The findings of this study advocate the incorporation of UGC sentimental factors into websites to heighten recommendation accuracy. Additionally, different recommendation strategies can be employed for different products types.

This study introduces a novel perspective to the recommendation algorithm field. It not only validates the impact of UGC sentiment on purchase intention but also evaluates the proposed models with real-world data. The study provides valuable insights for managerial decision-making aimed at enhancing recommendation systems.

This study attempts to ascertain how behavioral intention and word-of-mouth communication is affected by belonging, attitude toward behavior and subjective norm found in the theory of reasoned action. The research universe consists of customers visiting local restaurants operating in Afyonkarahisar.

The survey technique was used to collect data from customers visiting local restaurants between 05 September and 05 November 2022, using the convenience sampling method. The acquired data (n = 385) were analyzed using the structural equation model and the SmartPLS statistical tool.

The study findings indicate that behavioral intention is positively and significantly influenced by behavioral attitude, subjective norm and behavioral norm, but not by belonging. However, behavioral intention significantly and favorably influences word-of-mouth. When the indirect effect of study findings was analyzed, it was showcased that behavioral intention and attitude indirectly influence subjective norm and word-of-mouth communication, but belonging has no such effect.

The results suggest that businesses should focus on using local products as customers have a positive attitude toward them and provide customers with a sense of belonging to increase word-of-mouth communication. Additionally, the study highlights the importance of subjective norms in shaping customers' intentions and behavior toward local products.

The contribution of this article is valuable in terms of meeting this quest of visitors who have the motivation to introduce and experience the local culture, especially the Reasoned Action Theory of Word-of-Mouth communication approach of the customers, who play an essential role in the promotion and marketing of local restaurants selling local products, and to make a difference in their travels. Findings indicate that businesses should use local products, and customers need a sense of belonging. However, there is a subjective norm and attitude toward local products, and they should provide the necessary tendencies to gain a sense of belonging.