Effect of social support on customer satisfaction and citizenship behavior in online brand communities: The moderating role of support source

Customers often join online brand communities to seek support from others when they encounter product problems. Some customers who receive good social support exhibit customer citizenship behavior. This study develops a theoretical model to investigate how social support influences customer citizenship behavior through customer satisfaction with firms in online brand communities. Moreover, the moderating role of support source (i.e., firms vs. other customers) is measured. The research model is tested by using the Partial Least Squares technique. The results show that informational and emotional support significantly affects the customer citizenship behavior of providing feedback to the firm, recommendations, and helping other customers through customer satisfaction in online brand communities. Moreover, informational and emotional support from firms and other customers exert different effects on customer satisfaction.     

The new wave of AI-powered luxury brands online shopping experience: The role of digital multisensory cues and customers’ engagement

Academic literature retains a dearth of empirical evidence of the cutting-edge aspect of artificial intelligence (AI)-powered digital assistance and digital multisensory cues, despite the prospect of these factors on real-life customers' luxury brand online shopping experience. Thus, the aim of this study is to examine the significant pathway and effects of AI-powered digital assistance toward customers’ luxury brand online shopping experience. Drawing on S–O-R (Stimulus, organism, and response) and TRAM (Technology Readiness and Acceptance Model) paradigm, a multi-method research design was deployed to investigate constructs. Firstly, semi-structured interviews were utilized to explore customers' online behavior under the luxury brands and information technology aspect. Secondly, survey data were collected and analyzed by using partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA). The PLS-based analysis of quantitative data confirmed the exploratory insights of qualitative findings, establishing the connections of AI-powered digital assistance, customer engagement, and customers' luxury brand online shopping experience. Research findings also suggest that customer engagement plays a mediation role in the relationship between AI-powered digital assistance and customers' luxury brand online shopping experience. Besides, digital multisensory cues moderate the relationship between AI-powered digital assistance and customer engagement. Further, fsQCA complements the findings of PLS-SEM that reveal the significant combination of factors that lead to the perceptions of customers' luxury brand online shopping experience.     

Enhancing Customer Engagement Through Consciousness

Firms and academics recognize the importance of creating an engaged customer base, though an in-depth understanding of how to achieve it is limited. This article proposes that firms that use consciousness as a foundational philosophy can create a more engaging and meaningful customer experience. A retailer or service provider with foundations in consciousness has a higher purpose and values that get espoused and fulfilled throughout the organization, working in a way to optimize benefits to its multiple stakeholders (investors, employees, customers, suppliers, the environment, the community). Building on these foundations, retailers can achieve deeper engagement with customers, deliver outstanding customer experiences, create emotional connections with customers, and establish a shared identity based on a clear purpose and values.     

Content creators' participation in the creator economy: Examining the effect of creators’ content sharing frequency on user engagement behavior on digital platforms

Content creators produce content around their interests, hobbies, and experiences and distribute and monetize it on digital platforms. This study, informed by two-factor theory, proposes an inverted U-shaped relationship between creators' content sharing frequency and user engagement behavior on digital platforms. The study further considers creator characteristics such as number of followers, number of following, and number of competitors as moderators. To test its hypotheses, the study estimates a fixed-effects regression model on a panel dataset of content creators collected using a web-scraping method. The findings indicate that as the frequency of creators' content sharing increases, user engagement behavior initially increases but then falls after reaching a peak, supporting the inverted U-shaped relationship. Moreover, creators' number of followers, number of following, and number of competitors negatively moderate the inverted U-shaped relationship. While previous research has focused on creators' strategies as an extension of advertisers' digital marketing campaigns, this study takes a creator-first approach and provides insight into creators' content sharing frequency and users’ responses to it on digital platforms.     

Understanding Customer Engagement and Loyalty: A Case of Mobile Devices for Shopping

This study aims at developing and validating a measurement model for customer engagement with specific focus on mobile devices for shopping. Further, role of customer engagement in building customer loyalty is explored. The research in this investigation used three studies for developing customer engagement scale and validating the proposed model. The study involved data collection from experts and users through varied methods including in-depth interviews, and surveys. Further structural equation modeling was used to analyze the data. Findings of this study include development and validation of customer engagement as second order construct arising out of six different customer experiences - social-facilitation, self-connect, intrinsic enjoyment, time-filler, utilitarian and monetary evaluation experiences. Further, the study established significant role of customer engagement in predicting customer loyalty in addition to existing constructs of satisfaction and convenience. This study contributes to evolving scholarly research on customer engagement. This study further provides a framework to retailers for devising matrices to track experiences and engagement of customers on mobile devices for shopping. Further, retailers may be able to use customer engagement to differentiate themselves from competition in attracting merchants and advertisers.     

The effect of sensation seeking and emotional brand attachment on consumers’ intention to consume risky foods in restaurants

Sensation seeking and emotional brand attachment have been studied extensively, but limited research has been conducted on “risky foods.” This study explored how sensation seeking, emotional brand attachment, and risky food consumption varies demographically, and the relationships among those variables. Approximately 300 responses were collected from a restaurant serving “risky” and “nonrisky” foods. Significant differences included that consumption of raw/undercooked fish/eggs was higher in younger groups. Females showed more affection toward emotionally attached restaurants. The hypotheses testing showed the positive relationship from sensation seeking and emotional attachment to risky food consumption. Results offer information about marketing to different demographic groups.     

Team Selling Effectiveness:

With the emergence of Team Selling, or Selling Centers, in complex business-to-business relationships, their effectiveness becomes a concern to sales managers. If we view the Selling Center as a "group," the rich multidisciplinary research into small groups can guide us in dimensionalizing Team Selling effectiveness and conjecturing its determinants. This article proposes a framework drawing from the group literature to do this. Examples from interviews with managers, sales representatives, and customers involved with Team Selling enhance the framework. The article also proposes directions for Team Selling research, and a set of specific hypotheses based on this perspective.     

Strategies for creating value through individual and collective customer experiences

Despite tremendous interest in how online communities create value, existing research tends to focus on limited means through which such value is generated. In this article, we develop a conceptual model of customer value formation. This model rests on two dimensions, namely whether value is formed in the customer or provider domain and whether the value is individual or collective in nature. This enables value formation to be characterized in four ways and enables a more nuanced view of value formation to emerge. Firms are encouraged to reflect on their efforts to support each of the four value formation types. In particular, our conceptualization challenges companies to consider customer contexts outside of customer-firm interaction as important sources of value creation for customers. Such reflection enables practitioners to develop strategies for supporting individual and collective value creation across both the customer and provider domains.