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The purpose of this paper is to explore consumers' perceptions of price unfairness in services, what are its antecedents and when it is important for the consumer. Thus, the central question of this research is whether consumers care about how much profit the service company is making and whether there are significant differences to physical goods.

Building on justice and equity theory, a causal model is developed – which analyses the main antecedents (seller profits vs customer value), moderators and consequences of perceptions of price unfairness. Structural equation modelling has been applied to test the proposed model.

The lack of specific tools to measure perceptions of price fairness required the development of a multi‐item scale to capture the complexity of the evaluation. This instrument has been tested for reliability and validity in a variety of settings, with excellent results, and can be appropriate when using the survey as a data collection method. Also, the authors have argued that there should be significant differences due to the nature of the product – service industries vs physical goods– as well as due to the number of available alternatives that the buyer has in the market.

The validity of a new model is tested by means of an empirical research conducted in four different settings, two different services (automobile repair services and music concerts) and their related physical goods (automobiles and music CDs). A multi‐item scale is also developed to capture the complexity of price fairness perceptions. Finally, significant differences between contexts, as well as due to the number of available alternatives present in the marketplace are examined.

This methodological paper demonstrates how service firms can use digital technologies to quantify and predict customer evaluations of their interactions with the firm using unstructured, qualitative data. To harness the power of unstructured data and enhance the customer-firm relationship, the use of computerized text analysis is proposed.

Three empirical studies were conducted to exemplify the use of the computerized text analysis tool. A secondary data analysis of online customer reviews (n = 2,878) in a service industry was used. LIWC was used to conduct the text analysis, and thereafter SPSS was used to examine the predictive capability of the model for the evaluation of customer-firm interactions.

A lexical analysis of online customer reviews was able to predict evaluations of customer-firm interactions across the three empirical studies. The authenticity and emotional tone present in the reviews served as the best predictors of customer evaluations of their service interactions with the firm.

Computerized text analysis is an inexpensive digital tool which, to date, has been sparsely used to analyze customer-firm interactions based on customers' online reviews. From a methodological perspective, the use of this tool to gain insights from unstructured data provides the ability to gain an understanding of customers' real-time evaluations of their service interactions with a firm without collecting primary data.

This research contributes to the growing body of knowledge regarding the use of computerized lexical analysis to assess unstructured, online customer reviews to predict customers' evaluations of a service interaction. The results offer service firms an inexpensive and user-friendly methodology to assess real-time, readily available reviews, complementing traditional customer research. A tool has been used to transform unstructured data into a numerical format, quantifying customer evaluations of service interactions.

The purpose of this paper is to examine the impact of customer participation on role behaviors and customer satisfaction. The mediating role of role stressors is also examined.

Based on literature reviews, a survey of 317 bank customers was conducted in Central China, using a structured questionnaire. Structural equation modeling was used for data analysis to test research hypotheses.

The current work found that the inconsistency between the role expectations from participating customers and service providers would increase the customer perceived role stress. Therefore, customer participating width and depth can affect customer satisfaction in two different ways. On the one hand, role stressors (i.e. role ambiguity and role conflict) in customer participation have a negative effect on customer compliance, decreasing customer satisfaction. On the other hand, role stressors have a positive effect on customer creativity, increasing customer satisfaction.

No prior studies, thus far, have examined how customer perceived role stressors in service participation affect customers’ role performance and satisfaction in the service process. The current research identifies the characteristics of customer participation from the perspectives of task role set. On the basis of role stressor theory, this research examines the effects of customer participation width and depth on customer satisfaction using customer perceived role stressors as mediating variables. This research also investigates the mixed effect of role stressors on customer satisfaction. It provides empirical support for the role of customers as “co-creators” by distinguishing customers’ creative behaviors from customer compliance and finds the positive effect of role stressors on customer satisfaction via customer creativity.

Empirically evaluates a model of service guarantees by addressing the impact of a service guarantee on consumers’ satisfaction evaluations. Proposes a model suggesting that the differentiating and signaling properties of a guarantee can influence service provider satisfaction and that a service guarantee may capitalize on the coproduction nature of services to increase consumer self‐satisfaction and overall satisfaction. Finds empirical support that a guarantee can influence post‐consumption evaluations, even in the absence of service failure and the guarantee being invoked, and therefore suggests that a service guarantee may influence consumer satisfaction even if the service is already highly reliable.

This study aims to verify the influence of perceived value dimensions on customer satisfaction and loyalty in the banking sector, comparing these relationships between traditional banks and fintechs. Also, it was verified whether satisfaction mediates the relationships between the dimensions of perceived value and customer loyalty to traditional banks and fintechs, comparing them.

Data were collected through two online questionnaires with 792 total respondents, 411 from traditional banks and 381 from fintechs. For data analysis, the authors used the Partial Least Squares - Structural Equation Modeling (PLS-SEM) and PLS-SEM multigroup analysis (PLS-MGA).

The influence of customer satisfaction on loyalty tends to be greater in traditional banks than in fintechs; the effect of reliability on satisfaction tends to be greater in fintechs than in traditional banks and the effect of price on satisfaction tends to be greater in traditional banks than in fintechs. Indirectly, empathy, price and competence influence loyalty through satisfaction, and in all these relationships, the strength of the effect is significantly greater in traditional banks when compared to fintechs.

The findings, on the one hand, indicate that banks' investments in customer satisfaction, empathy, price and competence tend to generate positive results by expanding customer loyalty in addition to the return on similar investments made by fintechs. On the other hand, when fintechs invest in reliability, they tend to capture better results in increasing customer satisfaction compared to traditional banks.

The comparison of the effect of the dimensions of perceived value on satisfaction and loyalty between traditional banks and fintechs stands out, which is a novelty in the literature. This comparison can support strategies that aim to strengthen relationships with customers and increase the recurrence of business, both for traditional banks and fintechs.

Restaurants with limited promotion budgets depend mainly on word of mouth (WOM) among customers. WOM seems particularly important to the marketing of services. This is because services are experiential in nature and difficult to assess before purchase. In the restaurants context there is little research on WOM. The purpose of this paper is to examine the factors that may influence tourists’ WOM about restaurants implying on the critical role of relationship quality.

A comprehensive literature review is conducted to identify the major factors influencing WOM in the context of restaurant industry. The study utilizes self-administered questionnaire survey and the target population are the customers who have referred to the restaurants of Tehran, Iran. A convenience sampling approach was utilized to collect a sample of 326 customers. A structural equation modeling procedure is applied to the examination of the antecedents of WOM.

The paper found that food quality, personal interaction quality, physical environment quality, and perceived value influence WOM behavior of customer in an indirect way through relationship quality.

This research conjectured that an understanding of factors that influence the tourist to talk each other about a given restaurant are worthy of additional research. Consequently, the study helps to understand how these factors can provide alternative sources of marketing to attract the long-term economic sustainability of restaurant industry in Iran.

To the authors’ knowledge, this research will be the first attempt to explore influential factors on WOM in restaurant industry focusing on the critical role of relationship quality. It is expected that researchers will find this research a contribution to the WOM literature, particularly in restaurant industry.

As the social media platform becomes an ever more important communication channel between company and customer, companies are learning how they can best utilize social media to better communicate their brands with customers. The purpose of this paper is to explore the communication tactics adopted by the enterprise microblogs using a communication framework. Further, the authors hope to find out how these communication tactics influence customer brand experience (BE) and subsequently brand loyalty.

First, to identify the communication tactics used by enterprise microblogs, the authors recruited six active microblog users and listed all possible characteristics of enterprise microblogs that could increase customers’ fondness for the brand. Second, based on the listed 19 characteristics and existing theories, the authors pre-classified and conceptualized the content and style tactics categories. The authors also followed a sorting procedure to verify our classification. Finally, based on the sorted characteristics and previous research, the authors designed a questionnaire and 459 sets of valid data were collected from enterprise microblog users.

The communication tactics are classified into two dimensions, namely content tactics and style tactics. The content tactics include content diversity, content accuracy and content timeliness, and the style tactics include impression enhancement style and interactivity enhancement style. The results reveal that the communication content and style tactics significantly enhance overall customer BE and further brand loyalty. The study results also show that style tactics exert more influence on BE than content tactics.

This paper highlights the company’s important role in company-customer communication on social media, and categorizes the effective communication tactics used by the enterprise microblog within a communication framework. Companies could build brand loyalty by enhancing users’ BE using effective communication. The communication perspective and measures of the communication tactics in this study provide an ideal background for future research on IT-based company-customer interaction.

In response to the call for research on customer experience across the customer journey, this study aims to analyze and compare the effects of perceived quality on customer satisfaction among the different stages of search, experience and credence services.

This paper constructs a formation model of customer satisfaction based on service stages. Data on perceived quality and customer satisfaction in different stages of search, experience and credence services was collected through experiments and practical survey and the model was empirically tested through multiple linear regression.

The results show that perceived quality in the preparation and departure stages of search and credence services has a greater influence on customer satisfaction than in the delivery stage. While compared to the preparation stage, the perceived quality in the delivery and departure stages of experience service has a greater influence on customer satisfaction.

This research will help service firms optimize the allocation of service resources according to the importance of different service stages within the three indicated service types, promoting customer satisfaction.

This is the first study of its kind to compare the effects of perceived quality on customer satisfaction among the stages of search, experience and credence services.

This study aims to investigates customer satisfaction from the use of bank chatbots and the effect of perceived trust in chatbots and banks' reputation on customer satisfaction.

A survey is conducted in Turkey involving 240 customers who experienced banking transactions using a chatbot. Partial least squares structural equation modeling (PLS-SEM) is used to investigate the relationships between the variables. The data were analyzed using SPSS 21 and SmartPLS programs.

Perceived performance, perceived trust and corporate reputation significantly affect customer satisfaction with chatbot use. Customer expectations and confirmation of customer expectations have no direct impact on customer satisfaction, but customer expectations positively affect perceived performance. Customer expectations exert an indirect influence on customer satisfaction through perceived performance. Perceived performance has a positive impact on the confirmation of customer expectations, but customer expectations do not significantly impact the confirmation of customer expectations.

This study relies on a limited number of participants. Moreover, its sample is not representative of the target population due to the convenience sampling technique. Even if the results may not be generalized to the entire population of Turkey, they reflect the reality of emerging markets with relatively high technology sensitivity and a young population.

The results provide new insights regarding banking service delivery channels, which may be of interest to professionals, academics, banks' top management, product development teams, design teams and customer satisfaction units.

This study is believed to help the community make their lives easier by providing them with knowledge and awareness about chatbots.

This study extends expectations confirmation theory's predictions to chatbot use in banking.

Sustainable tourism is becoming more popular all over the world. Eco-friendly (green) hotels are properties that are friendly to the environment and are becoming increasingly popular among green travellers. Electronic word-of-mouth is a technique of communicating with consumers in order to share their experiences, and it is a significant marketing tool for hotels. This paper aims to identify the main themes shared in online reviews by tourists visiting eco-friendly hotels, and which of these themes were associated with satisfaction and dissatisfaction ratings.

The research used qualitative content analyses to analyse 1,202 user-generated content of the top 10 hotels in UK shared by guests on an online platform.

The analyses revealed nine themes in descriptions of airline travel experiences. These are “hotel amenities”, “services”, “location”, “staff”, “eco” (eco-friendly activities), “value” and “recommend/revisit” (intentions). Negative comments are associated with the “bathroom”, “mattress”, “water”, “bed”, “price”, “shower”, “Wi-Fi” and “restaurant” concepts.

This study differs from previous research in which it aims to address a void in the literature on the shortcomings of research focused on finding the dominant themes expressed in online reviews by tourists visiting eco-friendly hotels, and it does so using data mining approach.