The role of memorable experience and emotional intelligence in senior customer loyalty to geriatric hotels

Drawing on service encounters and experiential marketing theories, this study examined the relationship between geriatric service, memorable experience, emotional intelligence, and senior customers' attitudinal and behavioural responses. The research was conducted at geriatric hotels in Portugal. The results showed that, compared to impersonal encounters, employee service has a significantly greater effect on customer satisfaction, memorable experience, and customer loyalty. In addition, customers' memorable experiences mediated the relationship between different service encounters and organisational outcomes. However, customers’ emotional intelligence had minimal effects on these relationships. The discussion and implications of these findings are offered to researchers and practitioners.     

Restaurants’ outdoor signs say more than you think: An enquiry from a linguistic landscape perspective

Building on the linguistic landscape theory and literature on customers' experience with restaurants' authenticity and status, this study investigates whether restaurants' outdoor signs influence customers' perceptions and behavioral intentions. Using an experimental design comprising two studies, supported by data collected from Chinese consumers, we test how display characters and text flow may jointly impact on customers' perceptions of the status and authenticity of ethnic (Japanese and Taiwanese) restaurants, thus influencing their visiting intentions and willingness to pay. We find that display characters influence Chinese customers' perceptions of authenticity and status in both Japanese and Taiwanese restaurants in Mainland China. There is an interaction effect between display characters and text flow on customers' perception of authenticity and status in Japanese restaurants in Mainland China. This study applies the linguistic landscape theory to a restaurant context and examines how such features may influence customers’ perceptions and decisions. The findings have important practical implications on managing customer experiences and perceptions via effective restaurant sign designs.     

Employees' overestimation of functional and relational service quality: A gap analysis

This study extends previous research on gap analysis of service quality by including not only functional service quality but also relational benefits. To this end, a field study was carried out in 36 hotels and 35 restaurants. The samples consisted of 213 employees and 657 customers. A questionnaire format was used to measure both functional and relational service quality, as well as customers' loyalty. When comparing employee and customer perceptions, gaps potentially range from ‘overestimation’ (employees' perceptions are greater than customers' perceptions) to ‘underestimation’ (customers' perceptions are greater than employees' perceptions). In general, the results indicated that the employees surveyed overestimated the service quality they offer to customers, although gaps were greater for certain service attributes than for others. In addition, some gaps were more related to customer loyalty than others. The findings also showed that employees' overestimation of relational benefits plays a moderating role, increasing the negative relationship between employees' overestimation of functional service quality and customers' loyalty. The theoretical and managerial implications of the results are discussed further in this paper.     

Big social data and customer decision making in vegetarian restaurants: A combined machine learning method

Customers increasingly use various social media to share their opinion about restaurants service quality. Big data collected from social media provides a data platform to improve the service quality of restaurants through customers' online reviews, where online reviews are a trustworthy and reliable source that helps consumers to evaluate food quality. Developing methods for effective evaluation of customer-generated reviews of restaurant services is important. This study develops a new method through effective learning techniques for customer segmentation and their preferences prediction in vegetarian friendly restaurants. The method is developed through text mining (Latent Dirichlet Allocation), cluster analysis (Self Organizing Map) and predictive learning technique (Classification and Regression Trees) to reveal the customer’ satisfaction levels from the service quality in vegetarian friendly restaurants. Based on the obtained results of our experiments on the data vegetarian friendly restaurants in Bangkok, the models constructed by Classification and Regression Trees were able to give an accurate prediction of customers' preferences on the basis of restaurants' quality factors. The results showed that customers’ online reviews analysis can be an effective way for customers segmentation to predict their preferences and help the restaurant managers to set priority instructions for service quality improvements.     

The Effects of Coupon Promotion on Repeat Visits in Restaurants

Abstract

Will customers' intention to return to a restaurant increase with coupon promotion? To answer this question, this study examines the hypothetical effects of coupon promotion on return visits to restaurants. Based on a literature review, three hypotheses were developed to test the effect of a coupon, its face value, and a patron's prior dining experience on return intention. The authors found that neither coupon use nor coupon face value contributed to explaining respondents' return intentions. However, repeat customers have a greater likelihood of returning to the restaurant than new customers. The study also showed that the quality of food and service were key indicators of return intention.     

Managing Customer Switching Behavior in the Banking Industry

This study aimed to explore the factors that lead to the intention to stay and the intention to switch in the banking industry. The research adopted a qualitative, inductive approach to data collection using a sample of 19 Australians customers who use banking services, and two Australian bank managers. The factors that are important to the customers' decision to change banks or to diversify their accounts include: (a) customer service and customer intimacy; (b) response to service failure; (c) effect of advertising; (d) reputation; (e) ease of banking; and (f) customer value.     

The role of customer online brand experience in customers' intention to forward online company-generated content: The case of the Islamic online banking sector in Palestine

The purpose of this study is twofold: Firstly, to assess the impact of customer online brand experience (COBE) with online banking on customer's intention to forward online company-generated content (CGC). Secondly, to explore the role of online brand community engagement (OBCE) and the perceived trust of brand community page (BCP) as mediating variables between COBE and the intention to forward online CGC. This research conducted an online survey among various Islamic bank customers in Palestine who were members of online brand communities (fan pages) on Facebook. 375 valid responses were collected and results revealed that COBE exerts a dual influence on intention to forward CGC. This study is a pioneering empirical research on the role of OBCE in customers' intention to forward online CGC within the fast-growing Islamic banking industry. This study contributes to fill this research gap by assessing the effect of COBE on OBCE and intention to forward online CGC within the context of the Islamic online banking sector in Palestine. In this sense, this study is a first-of-its-kind research on the role of experience on customer engagement with regard to online brand communities of Islamic banks.     

Customers’ service-related engagement,experience, and behavioral intent: Moderating role of age

Though customer engagement (CE) and experience are important research priorities, empirically derived insight into these concepts and their associations remains scarce. We therefore investigate the impact of CE on experience and behavioral intent, which we explore in the tourism context. We also envisage customer age to moderate the proposed associations, thereby further contributing to the CE literature. To investigate these issues, we collected data from key tourism-sites in Jammu/Kashmir, Northern India. Using structural equational modeling, we find that CE dimensions exert differential effects on customer experience. The findings also reveal a stronger, significant effect of younger customers' (up to 39) cognitive engagement on experience, whereas a negligible effect is attained for older customers. While the paths from affective/behavioral engagement to experience are significant across all age groups, the association's strength rises with customer age. Moreover, the effect of customer experience on behavioral intention intensifies as customers get older. We conclude by outlining key implications that arise from our analyses, followed by avenues for further research.     

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.     

The influence of customer-to-customer interactions and role typology on customer reaction

The service encounter is an important topic in service management. Although researchers have argued that customer-to-customer interactions may affect customers' evaluation of the service experience in service encounter contexts, the impact of customer-to-customer interaction on customer reaction has not been sufficiently studied. Consequently, the objective of this research is to investigate the relationship between customer-to-customer interactions, role typology and customer reaction. This research adopted questionnaires to investigate tourists traveling to foreign areas and concluded that the perception of customer-to-customer interaction incidents could be extracted into six factors. ‘Protocol and sociability incidents’ have a significant positive impact on customer satisfaction; ‘malcontent incidents’ have a negative impact; ‘crude incidents’ and ‘malcontent incidents’ have significant negative impact on customer loyalty; and finally, the customer's role typology moderates the relationship between ‘protocol and sociability incidents’ and customer satisfaction.     

Effects of face masks and photo tags on nonverbal communication in service encounters

Facial expressions convey critical information for customers to evaluate a service encounter. Widespread mask-wearing since the pandemic began has brought challenges in decoding individuals' facial expressions. This study investigates the effects of face masks on customers' interpretations of frontline employees’ facial expressions across retailing and healthcare service contexts. The findings show that mask-wearing improves customer perception of service employees and behavioral intention when the employees display neutral or negative emotions. Photo tags, as an additional nonverbal signal, can enhance the positive perceptions of masked employees. This research suggests that service companies could incorporate face masks and photo tags as a cost-effective practice to improve service encounters beyond the current pandemic.     

新零售企业多渠道整合服务质量对重购意愿的影响--顾客涉入度的调节作用

采取线上线下多渠道整合的零售模式已成为新零售企业主流模式,顾客重购意愿是新零售企业重要竞争力之一,也是衡量多渠道整合服务实施效果的重要标准。通过构建以顾客体验为中介的多渠道整合服务质量对重购意愿影响概念模型,引入顾客涉入度作为调节变量,经过调查分析384名在同一新零售企业线上线下渠道有购物经历的消费者,研究结论如下:多渠道整合服务质量对重购意愿有显著积极影响;多渠道整合服务质量对顾客体验有显著积极影响;顾客体验对顾客重购意愿有显著积极影响;顾客体验在多渠道整合服务质量与重购意愿之间起部分中介作用;顾客涉入度在多渠道整合服务质量与顾客体验关系中起正向调节作用。研究结论拓展了多渠道整合服务质量对重购意愿影响的内在机理,明确了顾客体验在其中的重要中介作用,探明了顾客涉入度在多渠道整合服务质量影响顾客体验过程中的重要调节作用。新零售企业既可以通过多渠道整合服务质量提升顾客重购意愿,也可以通过极致的顾客体验提升重购意愿,而且通过加强顾客涉入度管理可有效提升顾客体验与重购意愿。     

Perceived power imbalance and customer dissatisfaction

This study explores the causes of customer dissatisfaction in service interactions in which customers perceive a status of lower power than the service providers. Characterizing such service encounters as encounters between powerful service providers and subordinate customers, the study attempts to identify the service providers' specific actions that caused customers to experience memorable dissatisfaction. For contexts of the study, professional, judgemental, and governmental services are used. The customers' dissatisfying experiences with these services were studied by using the critical incident technique to uncover and classify the causes of dissatisfaction as well as their post-encounter behaviours. During the data analysis, 10 causes of dissatisfaction emerged. In addition, customers' reactions to their dissatisfaction were noted and classified. Implications for practitioners and academicians are provided.     

Climate perceptions and the customer orientation of frontline service employees

Satisfaction of customers' needs is particularly dependent upon the customer orientation of frontline employees. Understanding the drivers of such orientation is, therefore, a key issue in current research. Research relating perceptions of organisational values with the customer orientation of employees is rather sparse. This topic is approached by investigating the role of selected dimensions of psychological climate in promoting the customer orientation of frontline service employees. A structural equations model is developed and empirically tested, indicating that perceptions of customer, ethical, and innovation climates exert an indirect effect on the adoption of customer-oriented behaviours by frontline employees.     

Electronic Services Co-Creation Experience: Telecommunications Sector in Tunisia as an Example

Despite the intensive use of the Internet in service delivery, little attention has been paid so far to assessing the impact of the quality of electronic services on the willingness of customers to participate in the co-creation experience online. In order to determine how the consumer reacts to the adoption of new information and communication technologies and, in particular, online telecommunication services, we empirically test the influence of electronic service quality dimensions on the co-creation experience online, integrating the attitude, satisfaction, and intention of the customer. The data were collected from a sample of 263 Tunisian telecommunications customers and analyzed using the structural equation modeling technique. The results show that, even if five dimensions of the quality of the online service positively influence the attitude towards the website, all of the dimensions of the quality of e-services positively influence the e-satisfaction. The results also confirm that customers' attitude towards the website and e-satisfaction positively affect the intention to use the website, which in turn affects the willingness of clients to participate in the experience co-creation online.     

Exploring the factors affecting customers’ intention to purchase a smart speaker

Although the sale of smart speakers is predicted to have a significant growth, the usage of smart speakers is not very popular in some countries and need further investigation. While the Bluetooth earphone and speakers are popular, the sales of smart speakers are challenging. Hence, the research purpose is to explore the determinants of the intention to purchase smart speakers and compare the differences between customers and potential customers. This study proposes ten hypotheses in a research framework according to the diffusion of innovation theory (DOI), task-technology fit (TTF), and perceived values. This study develops an online questionnaire to collect data from popular social networking sites. Finally, 249 valid responses collected from the website users are remained. The ten hypotheses are validated by using smartPLS software. According to the path analyses, five hypotheses were supported in potential customer group while only three hypotheses were supported in customer group. Users' perceived emotion-related value had significant direct influences on all customers' intention to buy smart speakers. Surprisingly, TTF was demonstrated to not significantly influence customers’ intention to purchase. The insights of the findings can be provided to smart speaker developers to design their products and sales strategies.     

The authentic service employee: Service employees' language use for authentic service experiences

This study analyzes how service employees' language use influences the authenticity of a service. The extant service literature on language use remains exclusively focused on the customer's perceptions of first language use in direct communication. Shifting the focus to the service employee, this paper posits that language could exert a wider influence, contributing both to how customers perceive the authenticity of the service and the entire service experience. Analyzing language use in service encounters, the paper addresses this research gap in the literature from the perspective of the service employee. In many service settings, authenticity is an important part in customers' construal of their experience. The study analyzes how service employees in British pubs outside the UK may use English with local customers who frequent these pubs to get a taste of Britain and British culture, contributing to the service literature by introducing a typology to align the service employees' language use with authenticity to strengthen the customer experience. The paper further contributes to service theory by extending the understanding of service sabotage by showing how, why, and in which circumstances service employees may use a language switch to sabotage the customer experience. Finally, the study extends the extant human resources literature on the effects of allowing service employees to be themselves to show that this managerial practice not only benefits the service employees also results in a more authentic customer experience.     

Applying Transactional NPS for Customer Journey Insight: Case Experiences and Lessons Learned

ABSTRACT

While the concept of “customer journeys” is widely taken up to support service design and management, practical frameworks for routine monitoring of customer experience in the context of customer journeys are lacking. This article proposes a framework for applying the widely used transactional Net Promoter Score (NPS) as a means for gathering insight into customers' experiences of a customer journey. We present lessons learnt from three case trials of the framework elements within a telecom service provider, involving the analysis of more than 1,700 quantitative and qualitative customer responses from transactional NPS surveys.     

Self-scanning technologies in retail: Determinants of adoption

Self-scanning represents a form of customer participation in service creation, a form of self-service and a technology-based service delivery device. This study, conducted within the large-scale retail sector, pursues a dual aim: firstly, to assess the link between satisfaction with self-scanning and some of its possible antecedents; secondly we intend to determine whether satisfaction with this service has any impact on consumers' overall opinion of the supermarket and their intention to patronise the store with greater frequency. The data show that both the sense of control and hedonic component have a positive impact on satisfaction with self-scanning and further bring to light that service satisfaction is an antecedent both of customers' opinion of the supermarket and their intention to patronise the store more frequently.     

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.