Discovering the “customer annoyance iceberg” through evidence controlling

There is no doubt about the relevance of complaint management for customer retention. But complaint management-objectives can only be achieved if complaints registered by the firm give a comprehensive view of the annoyances perceived by customers. In fact, a considerable share of annoyed customers do not complain and many complaint articulations are not registered. Because of these “unvoiced” and “hidden” complaints, registered complaints show only the tip of the “annoyance iceberg” leading to misinterpretations and wrong allocation decisions. As a countermeasure, the concept of evidence-controlling is developed in this paper. Relevant key figures are identified, effective information gathering is demonstrated and managerial implications and open research questions are discussed.     

Planning and implementing effective mobile marketing programs

Mobile marketing is an ever increasingly important component of a firm's overall promotional strategy. The importance of this medium can be seen through time spent on mobile media, number of searches, and direct and indirect mobile-generated sales. Despite its increased importance, the effectiveness of mobile marketing needs to be improved based on such metrics as bounce rates, add-to-cart rates, shopping cart abandonment, and average order size. Strategies to increase the effectiveness of mobile marketing are discussed. Firms need to capitalize on the three major strategic advantages of mobile marketing: (1) the fact that mobile marketing devices are always on, always connected, and always with the consumer; (2) the ability to generate location-sensitive offers; and (3) the ability to send relevant personalized messages and offers. Firms also need to develop and implement an effective mobile marketing strategy through a series of activities. These include understanding and reacting to the complexity of mobile marketing, designing sites based on ease of use versus ‘bells and whistles,’ increasing opt-in rates, using effective customer engagement strategies, and developing effective mobile coupons. Criteria to evaluate the effectiveness of mobile marketing are discussed.     

Matching service failures and recovery options toward satisfaction

Service failures are inevitable in any service delivery process that establishes the need for a good service recovery. This study aims to investigate the relationships among service recovery variables to develop appropriate recovery options considering different levels of failure severity and satisfaction. Using a scenario-based survey approach and structural equation modeling, the results are failure severity negatively relates to satisfaction; recovery justices positively relates to satisfaction regardless of the level of failure severity; complaining behavior strengthens (weakens) the relationship between the failure severity (recovery justices) and satisfaction; and relationship quality is a stronger predictor of post-purchase behavioral intentions than satisfaction. A service recovery matrix is proposed to depict appropriate recovery options for different situations.     

Can economic bonus programs jeopardize service relationships?

Research findings on the impact of economic bonus programs on service relationships are contradictory. While some studies find positive effects of economic bonus programs on customer’s relational behavior, other studies demonstrate negative effects. Building on self-determination theory, Dholakia (J Market Res 43(2):109–120, 2006) points at a possible explanation for these conflicting results, arguing that economic marketing programs have negative effects on self-determined customers when the program is perceived as controlling by them. By testing the effect of four different kinds of economic bonus programs on loyalty in an experimental setting using a nationwide representative sample of 768 participants, this research is the first that provides empirical evidence that economic bonus programs can indeed endanger service relationships by reducing customer’s self-determination. Implications of our findings for the abundance of economic bonus programs offered to service customers these days are highlighted.     

The journey from customer participation in service failure to co-creation in service recovery

Customer participation is growing into a widespread phenomenon in the service context. Despite the inherent significance of customer expectations to service failures in the high-participation service context, scant research exists on studying the links among customer participation, customer expectation of service recovery, and service outcomes (e.g., word-of-mouth or WOM). Even more pressing is the lack of research on the type of service recovery that can countervail the inflated customer expectation of service recovery and restore service outcomes. This research demonstrates that high contribution of customers in the beginning of service provision procedure leads to high recovery expectations and low satisfaction. The results also support that co-created service recovery (CCS-R), as contrasted to firm and customer recoveries, has a greater positive effect on satisfaction. Further, the contrasting impacts of each service recovery type on positive and negative WOM are presented. An experiment was conducted using service failure and recovery scenarios. Regression analysis was used to test the hypotheses. The current research has some important implications for scholars and managers who wish to effectively recover failed high-participation service encounters.     

How small service failures drive customer defection: Introducing the concept of microfailures

Service that falls below customer expectations is framed as a service failure. While many researchers have investigated service failures, they have tended to focus on large service failures. This is likely because large failures are more noticeable by firms and more likely to prompt customer complaints than small failures. However, we argue that smaller service failures can cause as much damage as larger failures, and in some cases even more. We introduce the concept of service microfailures, which we define as instances when a customer’s expectations go unmet in some small way. While minor in isolation, repeated service microfailures that go unnoticed and unrecovered can compound in effect and drive customer defection. For this reason, we propose that service microfailures are a potentially much larger managerial problem than they may appear on the surface. In this article, we conceptualize microfailures as a distinct form of service failure and outline the mechanism through which they cause damage. We then develop a multifaceted approach through which managers can detect, repair, and prevent service microfailures.     

Pursuit of loyalty in service recovery: The roles of brand equity and cognitive reappraisal as moderators

This research investigates the roles of brand equity and cognitive reappraisal in the association between the perception of justice and loyalty via customer affection in a service failure and recovery context. Survey data were subjected to the conditional process analysis using the regression-based method. Results reveal that customer affection plays a mediating role in the link between the perception of justice and loyalty. In addition, brand equity and cognitive reappraisal contribute as moderators in influencing the behavioral outcomes. Implications for researchers and managers are also provided.     

Customer complaining: The role of tie strength and information control

We examine the impact of two key constructs, information control and tie strength, on consumers’ likelihood of complaining following service failures. We report convergent results from three types of studies—an experiment, a survey, and secondary data. In the first study, tie strength and information control were systematically varied in an experiment using a restaurant scenario. In a second study, survey data from patients who experienced dissatisfactory service was collected. The third study used field data from 1,470 customers of an HMO. Results from all three studies showed that, following service failure, complaining is more likely when the tendency for information control is stronger and ties are weaker.     

Managing social media recovery: The important role of service recovery transparency in retaining customers

This research examines the influence of service recovery transparency on customer forgiveness to retain customers in the context of service recovery via social media. We propose that customer forgiveness mediates the effect of service recovery transparency on switchover intentions. We further posit that the effect of service recovery transparency on customer forgiveness is moderated by two additional recovery strategies, i.e., apology and explanation. The results of two studies, i.e., a survey and a scenario-based experiment, show that service recovery transparency acts to elicit customer forgiveness, which subsequently negatively affects switchover intentions. Furthermore, both apology and explanation moderate the effect of service recovery transparency on customer forgiveness. The positive effect of service recovery transparency on customer forgiveness is attenuated when an apology/explanation is absent.     

Exploring the relationship of perceived automotive salesperson attributes, customer satisfaction and intentions to automotive service department patronage: The moderating role of customer gender

This study examines the relationship of perceived automotive salesperson attributes and customer satisfaction behavior in the purchase experience leading to the patronage of a service department in an automotive dealership. Logistic regression analyses indicate that gender moderates the relationship of the perceived salesperson attributes and customer satisfaction as well as intentions for service department patronage. The model distinguishes users from non-users of the service department and does this better for females than for males. Finally, the paper concludes with a discussion of the managerial implications and directions for future research.     

Engaging and retaining customers with AI and employee service

Artificial intelligence (AI) permeates in service organisations as a tool to enhance operational efficiency and improve customer experience. Reports show that most consumers prefer human interactions with service employees. Drawing on this observation, the current study examines how customers' service experiences with employees and AI influence customer engagement and loyalty. Customers’ emotional intelligence is proposed as a moderator between service experience and customer engagement. The study was conducted with hotel customers in Australia. The results show that whilst both service experience with employees and AI are significantly related to customer engagement and loyalty, only certain dimensions make significant unique variances in the outcome variables. The findings indicate that customers prefer employee service. These service experiences also have significant partial mediation effects on customer loyalty. Emotional intelligence has a significant moderation effect on customer engagement. Discussion of these findings and implications derived from this study concludes this paper.     

Airline customer satisfaction and loyalty: impact of in-flight service quality

The purpose of this study was to investigate the impact of the in-flight service quality on airline customer satisfaction and loyalty. This study analyzed the data from passengers of two classes: prestige (business) and economy. The results suggest that there are different factors of in-flight service quality that are important according to the customer seat class. In the case of the prestige class, there were six service quality factors of importance: alcoholic and non-alcoholic beverage, responsiveness and empathy, reliability, assurance, presentation style of food, and food quality; while the economy class showed five important service quality factors: responsiveness and empathy, food quality, alcoholic beverage, non-alcoholic beverage, and reliability. These findings imply that airline companies’ in-flight service should have different delivery strategies based on the customer seat class.     

Chatbots and service failure: When does it lead to customer aggression

Artificial intelligence technology is changing the way services are delivered and introducing opportunities for new sources of service failure. The purpose of this paper is to examine how customers might respond (emotion- or problem-focused coping) to service failure of a chatbot when there is an option to interact with a human employee. Using data from 145 participants, we found that in a chatbot service failure context, telling a customer late in the service interaction that a human employee is available to help leads customers to engage in emotion-focused coping, resulting in customer aggression. The positive relationship between late disclosure and emotion-focused coping occurs with those who perceive low customer participation whereby they do not believe they are overly involved in co-producing and co-delivering the service. This research demonstrates how chatbot service failure in a service encounter can produce different effects on customers’ intention to engage in aggression.     

Integration of standardization and customization: Impact on service quality,customer satisfaction,and loyalty

The basic objective of this study is to analyse the direct and indirect impacts of standardization and customization on customer satisfaction and loyalty through service quality. The service quality has two dimensions: technical quality and functional quality. A framework is developed by extending Grӧnroos’ model of service quality by including the antecedents of service quality. A questionnaire-based survey collected data from 315 customers of three service industries: healthcare, hospitality, and education. The data was analysed and the model validated using PLS-SEM. The findings show that: (1) integration of standardization and customization of service offerings is critical for improved service quality; (2) standardization has higher impact on service quality when compared to customization; (3) functional quality has higher impact on customer satisfaction when compared to technical quality; and (4) customer satisfaction has a significant effect on customer loyalty. The contribution of this study is the development of an integrated framework to analyse the roles of standardization and customization on service quality.     

The effects of loyalty programs on customer lifetime duration and share of wallet

In the retailing sector, consumers typically patronize multiple outlets, which confronts these outlets with an important issue: determining how to gain a greater part of consumer expenditures. One potential avenue is to increase consumer lifetime duration and repeat purchases through loyalty cards. This research, using BehaviorScan single-source panel data, examines the impact of loyalty programs on customer lifetime duration in grocery stores. The findings suggest that loyalty schemes have positive effects on customer lifetimes and share of consumer expenditures. However, multiple loyalty card memberships of geographically close retailers reduce lifetime duration. Furthermore, the higher the share of consumer expenditures in a store, the longer the lifetime duration will be.     

Understanding the user satisfaction and loyalty of customer service chatbots

The artificial intelligence (AI) chatbot is emerging as a significant corporate customer-facing application, potentially increasin customer service efficiency while reducing costs. However, little work has sought to assess the quality of service they provide consumers. This study applies the e-service quality by incorporating conversational AI quality to predict users' satisfaction and loyalty to customer service chatbots. The proposed model was empirically evaluated using survey data collected from 219 users responding about their perceptions of customer service chatbots. The findings indicate that AI chatbot service recovery quality and AI chatbot conversational quality significantly influence user satisfaction. On the other hand, core AI chatbot service quality and satisfaction significantly influenced chatbot user loyalty. This study contributes to researchers and practitioners by proposing and evaluating a more comprehensive chatbot e-service quality that combines both fundamental (core service and service recovery qualities) and human-like (conversational quality) aspects of e-service. The results are of value in devising future AI chatbot services and related strategies.     

Satisfaction with service recovery: Perceived justice and emotional responses

This study examines the relationship between perceived justice, emotions, and satisfaction during service recovery (SR). The current research work proposes a model analyzing the direct effects of justice on satisfaction, along with its indirect effects, via emotions. A field study that captures consumer perceptions of actual SR situations in the cellular-telephone sector tests the model. The paper investigates the relative effects of the dimensions of perceived justice on satisfaction and the emotions triggered by SR. Results indicate that all three justice dimensions affect satisfaction, with procedural justice showing the strongest relative influence, as well as being the only dimension affecting the emotions. Results also show that negative emotions mediate the effects of justice on satisfaction with SR (SSR).     

Employee display of burnout in the service encounter and its impact on customer satisfaction

This study examines if employee display of burnout symptoms in service encounters has an impact on customer satisfaction. An experimental approach was used in which the employee's display of burnout (absent vs. present) and the service performance level (low vs. high) were the manipulated factors. The results show that employee display of burnout had a negative impact on customer satisfaction, that this effect was mediated by customers’ appraisals of the employee's emotional state, and that the effect was stronger under the condition of low service performance.     

Understanding the psychological process underlying customer satisfaction and retention in a relational service

This paper reexamines the psychological process underlying the relationship between customer satisfaction and customer retention in a relational service context. It is based on a composite model of the attitude-behavior relation, which takes both attitude toward target and attitude toward behavior into account. Data were collected from a survey with a sample of 209 clients from a major credit counseling organization in the USA. Account data indicating those clients' actual retention behavior were matched with the survey data. A two-step structural equation modeling (SEM) procedure was employed to establish the construct validity and test the hypotheses. The results revealed that the effect of customer satisfaction on retention is mediated by the more proximal determinants of the actual retention behavior. Specifically, customer satisfaction has both direct and indirect effects on customers' attitudes toward remaining in the Debt Management Program (DMP), which is the proximal predictor of customer retention. In addition, satisfaction alone cannot guarantee customer retention. Customers' perceived behavioral control exerts direct effects on their intention to remain and retention.