The phrase the "customer is always right" assumes that customers provide universal benefits for firms. However, in recent years, customer deviance is on the rise and the academic literature has provided little insight into the drivers of deviance, the actual behaviors, and strategies for how managers can better manage a customer base that cannot be classified as universally benign. This article addresses customer deviance ranging from classic examples like shoplifting to engaging in hostile to anti-brand behaviors on social media or even breaking established norms such as trespassing in stores after closing hours. In an effort to spur new research into customer deviance, we propose a customer deviance framework encompassing the triggers, behaviors, and consequences of customer deviance with attention given to differentiating firms, employees, and other customers as the possible targets of deviant behaviors. We outline prevention strategies that comprise social, design, and technological-oriented factors, which in turn can help firms better manage deviant behavior. In doing so, we identify gaps in the literature and close with an actionable agenda for future research that can help firms curtail these negative customer behaviors.

Gamification has attracted considerable practitioner attention and has become a viable tactic for influencing behavior, boosting innovation, and improving marketing outcomes across industries. Simultaneously, studies on the use of gamification techniques have emerged in diverse fields, including computer science, education, and healthcare. Despite the broad popularity of gamification in other fields, it has received only limited attention in the service literature. Moreover, the findings of extant studies on gamification in the service field are inconclusive and suggest an incomplete understanding of the employment of gamification in service contexts. Thus, this study aims to integrate the growing but scattered cross-disciplinary literature on gamification and to emphasize its relevance to service research. Specifically, we first conceptualize gamification for service and differentiate it from related concepts. Then, using a systematic literature review, we identify 34 empirical articles that reflect this gamification conceptualization and can be connected to relevant service research themes (e.g., customer participation, experience, and loyalty). Employing activity theory, we derive four higher-order functions of gamification: production, consumption, exchange, and distribution. Finally, we develop a research agenda to generate a better understanding of the central aspects within each of the identified gamification functions and stimulate future academic efforts on gamification in services.

PurposeWhile customer experience (CE) is recognized as a critical determinant of business success, both academics and managers are yet to find a means to gain a comprehensive understanding of CE cost-effectively. The authors argue that the application of relevant AI technology could help address this challenge. Employing interactively prompted narrative storytelling, and the authors investigate the effectiveness of sentiment analysis (SA) on extracting valuable CE insights from primary qualitative data generated via chatbot interviews.Design/methodology/approachDrawing on a granular and semantically clear framework for studying CE feelings, an artificial intelligence (AI) augmented chatbot was designed. The chatbot interviewed a crowdsourced sample of consumers about their recalled service experience feelings. By combining free-text and closed-ended questions, the authors were able to compare extracted sentiment polarities against established measurement scales and empirically validate our novel approach.FindingsThe authors demonstrate that SA can effectively extract CE feelings from primary chatbot data. This findings also suggest that further enhancement in accuracy can be achieved via improvements in the interplay between the chatbot interviewer and SA extraction algorithms.Research limitations/implicationsThe proposed customer-centric approach can help service companies to study and better understand CE feelings in a cost-effective and scalable manner. The AI-augmented chatbots can also help companies to foster immersive and engaging relationships with customers. This study focuses on feelings, warranting further research on AI's value in studying other CE elements.Originality/valueThe unique inquisitive role of AI-infused chatbots in conducting interviews and analyzing data in realtime, offers considerable potential for studying CE and other subjective constructs.

PurposeService providers increasingly use conversational agents (CAs), such as chatbots, to effectively communicate with customers while managing interaction costs and providing round-the-clock customer service. Yet, the adoption and implementation of such agents in service contexts remains a hit-and-miss, and firms often struggle to balance their CAs implementation complexities and costs with relation to their service objectives, technology design and customer experiences. The purpose of this paper is to provide guidance on optimizing CA design, therefore, the authors develop a conceptual framework, TRISEC, that integrates service logic, technology design and customer experience to examine the implementation of CA solutions in search, experience and credence (SEC) contexts.Design/methodology/approachThe paper draws on service marketing and communications research, combining the service context classification scheme of search, experience and credence and the technology infused service marketing triangle foci (service, technology and customer) in its conceptual development.Findings The authors find that an opportunity exists in recognizing the importance of context when designing CAs and aiming to achieve a balance between service objectives, technology design and customer experiences.Originality/value This study contributes to service management and communications research literature by providing interactive service marketing researchers with the highly generalizable TRISEC framework to aid in optimizing CA design and implementation in interactive customer communication technologies. Furthermore, the study provides an array of future research avenues. From a practical perspective, this study aims at providing managers with a means to optimize CA technology design while maintaining a balance between customer centricity and implementation complexity and costs in different service contexts.

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