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The COVID-19 pandemic has prompted the fast growth of online music festivals. This paper explores how festivalgoers' experience affects their satisfaction and drives their loyalty to re-attend online music festivals in China.

Based on an understanding of the music festival experience and the characteristics of live-streamed performances, this paper investigates five factors that affect festivalgoers' satisfaction and loyalty, namely the music experience, ambience experience, separation experience, social experience and novelty experience. The relationships between festivalgoers' experience, satisfaction and loyalty are also explored using structural equation modelling techniques.

The empirical results suggest that four of the above-mentioned five factors of the online music festival experience directly affect festivalgoers' satisfaction and loyalty. The online mode is a rapid adaptation of and preferred alternative to offline music festivals, whilst the creation of the experience, along with satisfaction with and loyalty to the online music festival, are determined by different factors compared to offline modes. Overall festival satisfaction positively enhances the relationship between festivalgoers' experience and loyalty to online music festivals.

This study offers a range of practical and managerial implications for organisers of online music festival, similar activities such as live-streaming concerts and stage performances and hybrid events.

This study explores a phenomenon that has evolved quickly since COVID-19 and will, potentially, have an ongoing and enduring impact on the music festival sector. It differentiates the understanding of festivalgoers' experience in online and offline modes, which is a new addition to the literature. It also enriches the theoretical understanding of the experience of, satisfaction with and loyalty to online music festivals.

The objective of this study was to examine the relationships among festival personality, satisfaction and loyalty. Also, the study further analyzed the moderation effect of involvement on the relationships between festival personality, satisfaction and loyalty.

The authors adopt a two-stage mixed-method approach. Through a list of brand personality traits from previous research and in-depth interviews with participants of a film festival, festival personality constructs were identified: exceptional, competent, reliable and cozy. The authors then analyzed an integrative model of festival personality, satisfaction, involvement and loyalty from the qualitative findings. A survey with a convenience sample of 279 film festival participants was conducted.

The findings suggest that festival personality influence satisfaction and loyalty. Furthermore, this study confirms the significant impact of involvement on the relationships between festival personality, satisfaction and loyalty.

This study enables authors to understand the festival personality from the perspective of the visitors and expands the theoretical understanding of how the personality of the festival affects the visitors. The findings of this study suggest that the festival personality can be predictors and determinants of participants' satisfaction and loyalty. Also, this is one of the first attempts to identify the effects of involvement on festival personality and its outcomes. Current research findings demonstrated involvement as a moderator variable in the relationships between festival personality and festival satisfaction and loyalty.

Many studies have documented that satisfaction does not always result in loyalty, and that dissatisfaction does not necessarily result in defection. In response, this study goes beyond satisfaction and proposes the moderating effects of locational convenience, interpersonal relationships, and commitment between satisfaction and customer loyalty across search, experience, and credence attribute services.

Hierarchical moderated regression analysis was used to test the hypotheses.

The results suggest that from search attribute services to experience and credence attribute services, the relative importance of locational convenience with regard to retaining dissatisfied customers is likely to decline. Search and experience attribute services that can develop and maintain close interpersonal relationships with their customers are more likely to retain dissatisfied customers. Commitment maintains customer loyalty, even when customer satisfaction is lower across search, experience, and credence attribute services.

This study discriminates dissatisfied customers' loyalty behaviors based on locational convenience from those behaviors resulting from interpersonal relationships and commitment across service types, and thus has significance for the marketing strategies of businesses providing different service types, particularly in terms of dissatisfaction resolution strategies.

The effects of customer satisfaction on loyalty have been widely discussed by the academic community. Although the results of the studies reported in the literature are often contradictory, the existence of a relationship between satisfaction and loyalty is acknowledged, despite the influence of moderators and constraints of various kinds. The purpose of this paper is to discuss this relationship in the specific context of the retail sector, since this sector presents major challenges in terms of competition, and efforts placed on customer satisfaction and loyalty are more evident.

A survey based on the European Customer Satisfaction Index (ECSI) model was applied to a retail store in Portugal. This model has its roots in Switzerland, where in 1989, Claes Fornell developed a new complementary method for measuring the overall quality of companies’ output, through the calculation of an aggregated customer satisfaction index. The proposed model is based on a set of causal relationships established between a set of constructs. The ultimate goal is to calculate both satisfaction and loyalty indexes as well as to estimate the relationship between both constructs. Structural equation modelling, based on a partial least squares (PLS) estimation methodology, is the statistical technique used to estimate the model parameters, as well as to compare the aggregated indexes. PLS is based on the principles of linear regression and combines multiple regression aspects with factor analysis, in order to estimate a series of interrelated relationships.

The results confirm a positive influence of satisfaction on customers’ loyalty to the retail store. The study also shows the importance of the image construct, due to its strong direct effects on satisfaction, which makes it essential for influencing the loyalty index, both directly and indirectly. The impact of the image construct is also evident on the expectations, as the latter has shown a considerable direct effect on perceived quality.

The study is based on a single case study of a Portuguese sports retail store. In future it would be interesting to study a representative sample of the whole retail sector.

The study is useful for the specific retail store where it was undertaken to help it devise better customer service, in order to increase satisfaction and loyalty. It is also useful for the entire network of stores for that retailer and other retail chains.

The systematic application of customer surveys to whole sectors of the economy would improve competition, customer service and, ultimately, contribute to development and economic growth.

The ECSI has been applied to various industry sectors in different countries, including Portugal. It has never been used in the context of the Portuguese retail sector and it adds to the discussion on the relationship between satisfaction and loyalty, which is a pertinent topic of interest for researchers in quality management.

The purpose of this paper is to study how repeat customers utilize their established overall restaurant brand image (ORBI), overall restaurant loyalty, satisfaction and behavioral intentions (revisit, recommend) to reengage with a casual-dining restaurant brand.

The study design consists of a mixed-methods, two-phase research approach that includes both qualitative and quantitative data. First, focus groups and in-depth interviews with adult customers reveal preliminary insights on restaurant dining patterns and familiarity with franchised casual dining restaurants. Second, an online self-administered survey tests the influence of ORBI on repeat customers’ overall restaurant loyalty, satisfaction and behavioral intentions.

For repeat customers, ORBI positively predicts loyalty and satisfaction. Loyalty and satisfaction mediate the relationship between ORBI and intentions to recommend, while loyalty alone mediates the relationship between ORBI and intentions to revisit a casual dining restaurant.

Managers looking to stimulate recommendation intentions can increase ORBI, loyalty or satisfaction among repeat customers; or choose some combination of these three predictors. To improve revisit intentions, managers should first increase loyalty, followed by ORBI. Importantly, management needs to tailor information given to repeat customers differently than other customers.

This paper provides a first conceptualization of how both loyalty and satisfaction jointly mediate the relationships between ORBI and two behavioral intentions (revisit, recommend). The results show that loyalty plays a significant role in these predictive relationships and is more important than satisfaction for enhancing intentions to revisit a restaurant.

The purpose of this paper is to determine the impact of food-related lifestyle (FRL) and food-related personality traits (FRPTs) on customer satisfaction and loyalty so that sufficient evidence for forming a new pattern of predictors of customer satisfaction and loyalty can be explored.

The research method in this study was the descriptive type and was based on the goal of the applied research methods. Data were collected from 384 sample group consumers of chain stores in the city of Tehran. The hypothesized relationships were tested using structural equation modeling (SEM).

Final results of study showed the significant effects of FRL and FRPT on satisfaction and loyalty of consumers. This indicates that aforementioned variables can create customer satisfaction and loyalty toward food. The research conceptual model was confirmed with goodness of fit.

First, the sample consisted of customers who use a wide range of food despite diverse motives and interests. While knowing that costumers’ specific traits about food would have provided a more detailed and comprehensive understanding, conducting research in a set of general food consumer without considering special foods category could be a limitation. Second, and more importantly, since the customer behavior in consumption choices is an unconscious and cognitive process, other factors and domain that are linked to customer satisfaction and loyalty would have been missed.

This study shows that understanding the behavioral aspects of food consumption can help food producing companies to adjust their production and specially to foresee changes. Marketers are advised to investigate customer traits to promote customer satisfaction and loyalty effectively. This paper contributes to the body of knowledge in food marketing.

The present study offers a unique and valuable insight into a customer’s behavior and deepens customer satisfaction and loyalty by incorporating FRL, food neophobia scale and food involvement scale as independent variables to contribute knowledge in the context of food marketing, and throws some light upon the predictive power of mentioned variables on customer behaviors.

The purpose of this study is to present and explain a new customer segmentation approach inspired by failure mode and effect analysis (FMEA) which can help classify customers into more accurate segments.

The present study offers a look at the three most commonly used approaches to assessing customer loyalty:net promoter score, loyalty ladder and loyalty matrix. A survey on the quality of restaurant services compares the results of categorizing customers according to these three most frequently used approaches.

A new way of categorizing customers through loyalty priority number (LPN) is proposed. LPN was designed as a major segmentation criterion consisting of customer loyalty rate, frequency of purchase of products or services and value of purchases. Using the proposed approach allows to categorize customers into four more comprehensive groups: random, bronze, silver and gold – according to their loyalty and value to the organization.

Survey will bring a more accurate way of categorizing customers even in those sectors where transaction data are not available. More accurate customer categorization will enable organizations to use targeting tools more effectively and improve product positioning.

The most commonly used categorization approaches such as net promoter score, loyalty ladder or loyalty matrix offer relatively general information about customer groups. The present study combines the benefits of these approaches with the principles of FMEA. The case study not only made it possible to offer a view of the real application of the proposed approach but also made it possible to make a uniform comparison of the accuracy of customer categorization.

The purpose of this paper is to understand e-loyalty in the travel industry. Specifically, this paper aims to examine the curvilinear relationship between predictors and e-loyalty.

An empirical study was conducted using an online survey with one of the largest travel companies in China. Structural equation modeling was used to test the models, and pair-wise nested F-tests were used to compare the models.

Results show that the curvilinear model has greater explanatory power of loyalty than traditional linear models. The results of pair-wise nested F-tests show that the loyalty model exhibits statistically significant R2 improvement compared to the linear model. However, the R2 improvement in the integrated model is not statistically different from that in the linear model. Confirmation and satisfaction are found to be salient factors influencing loyalty.

This study makes important contributions to the online community literature by understanding the drivers of loyalty in the travel industry. However, there are limitations. First, this study addressed member loyalty of an online travel community with data collected from one company. Thus, generalizability is limited. Online communities and firms may have different characteristics, resulting in different factors influencing consumer loyalty. The authors plan in the future to collect data from other online travel companies and examine their model with different samples so as to check the generalizability of the current findings. Second, the authors collected a snapshot view on loyalty. Both researchers and managers note that small changes in loyalty and retention can yield disproportionately large changes in profitability (Reichheld et al., 2000). Consumer loyalty may change over time, so to maintain and increase profits, it is important to monitor such change. In the future, the authors plan to conduct a longitudinal study of community members to evaluate their loyalty over time.

As China seeks to gain additional market share in the global tourism market, travel companies should make use of websites as a marketing tool to attract and retain customers. These actions enable a travel company to enhance its competitiveness. More and more people use the internet for tour deals, bookings and finding tour-related information. Effective use of websites can affect the competitiveness of ecommerce companies. E-vendors could assess and adopt the dimensions recommended in this paper to help better understand areas for improvement. It is common today for consumers to buy travel products online instead of going through a travel agent. Considering the importance of reciprocity in formulating consumer satisfaction and loyalty in the virtual environment, companies should monitor reciprocal behavior on the virtual community. With advancement in technologies, consumer behaviors have changed and more consumers prefer social interactions in the virtual world. Companies can analyze posts in the virtual environment to assess reciprocity and may design a mechanism to foster reciprocal behaviors. By leveraging reciprocity, firms can better connect satisfaction with loyalty. More than 70 per cent of executives surveyed by McKinsey (2012) said that they regularly generate value through their Web communities. In addition, to pay attention to consumer to consumer reciprocity in the virtual world, companies should listen to what customers say in their online community, as this attention is an indication of reciprocity between consumers and companies. The ideas and opinions expressed in the online community tell the company customers’ perception of the value of its products and customers’ needs. Such attention to the voices in the online community will help companies to better tailor products/services to meet customers’ needs. Furthermore, the voices expressed in the virtual community are also effective in developing and maintaining new internet marketing opportunities such as email marketing, giveaways, search engine optimization, pay per click and shopping comparison marketing. Companies interested in retaining and attracting customers should leverage their established virtual communities and pay close attention to online posts and evaluate members’ satisfaction. Such effort will provide tangible benefits. As shown in Ye et al.’s study, traveler reviews produce a significant impact on online sales (Ye et al., 2011), with a 10 per cent increase in traveler review ratings, boosting online bookings by more than 5 per cent. This finding suggests that businesses should link online user-generated reviews to business performance in tourism. Finding incentives for users to share might be one way to improve interactivity and further create stickiness on the part of the website.

This paper is one of the first studies to address the need to move beyond linear models of e-loyalty and to additionally examine potential curvilinear and interactive effects. This study also identifies key variables such as reciprocity and satisfaction as determinants of e-loyalty in the Chinese online travel and tourism industry.

The objectives of this study are twofold: to investigate the impact of service encounter quality dimensions on perceived value, customer satisfaction, and loyalty, and to examine the moderating effect of perceived risk on the relationship of loyalty with perceived value and customer satisfaction in high contact services.

A questionnaire survey was adopted. Data were collected from customers who had used either hairdressing services or health care services in the past three months. Confirmatory factor analysis was used to evaluate the validity of the measures and structural equation modeling was used to assess the hypothesized relationships.

Technical quality and empathy were found to display a positive effect on satisfaction in both hairstylist and physician samples. Physical environment was found to display a positive effect on satisfaction in the physician sample, but not in the hairstylist sample, and its effect on perceived value was non‐significant in both samples. The results also showed that there was a significant difference between low and high perceived risk groups in both samples with respect to the relationship between satisfaction and loyalty, and the relationship between perceived value and loyalty.

The study was conducted in a professional and relational service context, thus the scope for generalization of the results to other contexts may be limited. Moreover, this study focused on performance risk.

This study provides empirical support for the moderating role of perceived risk in the relationship between satisfaction and loyalty, and the relationship between perceived value and loyalty.

Satisfaction and loyalty as vital and strategic concepts in marketing literature are highly important to companies and marketers. The review of the existing literature reveals a gap of the role of emotional constructs that can begin in a regular and rational sequence of satisfaction and ultimately lead to the formation of consumer loyalty. Hence, in the current study, we seek to answer the question of whether emotional constructs such as emotional attachment and love play a mediating role in the process of transitioning from satisfaction to loyalty in the correct sequence.

A total of 300 valid questionnaires on Smartphone and apparel brands were collected from respondents and analyzed using the partial least squares method.

The results showed that brand love is the strongest antecedent of brand loyalty and is the only variable that directly influences brand loyalty in comparison to satisfaction and emotional brand attachment. Moreover, the examination of indirect effects revealed that our assumption based on that the emotional structures such as emotional attachment and brand love play a mediating role in the process of transitioning from satisfaction to loyalty in a correct sequence is supported.

Generalizability needs to be established with a wider range of consumer groups. The survey was conducted in Iran and future research should assess the same product categories in other cultural settings as well as consider other product categories to assess the external validity of these results. The insights on consumers' brand relationships help brand managers devise effective brand management strategies.

The managerial implications can guide managers toward enhancing the consumers' loyalty to the brand through a better understanding of the consumer loyalty process to a brand as well as better relational marketing practices.

The study validates the mediating role of emotional brand attachment and brand love in the relationship between brand satisfaction and brand loyalty; is one of the first to develop a conceptual model that examines the role of emotional structures in the process of transition from satisfaction to loyalty.; is one of few studies to develop the role of emotional structures in the form of a relational chain of brands in the process of transition from satisfaction to loyalty.