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The purpose of this study was to examine the relationships between perceived price justice, satisfaction, revisit intention and loyalty among restaurant customers, specially the mediating effect of revisit intention in the relationship between perceived price justice, satisfaction and loyalty.

Data were collected from a questionnaire distributed to customer of restaurants in Turkey. A total of 304 restaurant customers participated.

Results from structural equation modeling show that price justice and satisfaction positively influence their revisit intention of restaurant customers, also revisit intention positively influences loyalty of restaurant customers. Also, the empirical results indicate that while revisit intention fully mediates the effect of price justice and loyalty, it partially mediates the effect of satisfaction and loyalty.

When the studies in the literature are examined, it is seen that there are various studies that deal with perceived price justice, customer satisfaction, revisit intention and loyalty variables from a different viewpoint. However, no study has been found on restaurants that investigate the relationship between these four variables and the mediating role of revisit intention. Furthermore, the authors’ study contributes to the hospitality and service management literature in two ways. First, the authors follow recent calls for studies on antecedents of revisit intention, with the aim of providing empirical support to uncover factor that shape customers’ revisit intentions. Second, the authors investigate the attitudinal mechanism that explains how customers’ perception of price justice and satisfaction in their loyalty by exploring the mediation effect of revisit intention. On the other hand, it is foreseen that the study will shed light on restaurant managers and provide healthy data for strategic planning. Additionally, that the results obtained are the practical purpose of the study is to contribute to the determination of product development and promotional strategies for restaurant managements.

The purpose of this study is to provide an insight into the crucial antecedents of customer satisfaction and revisit intention in the context of dining restaurants in a holistic approach, taking Bangladesh as a unit of analysis.

The research design was cross-sectional. Data were collected from 30 dining restaurants in Dhaka city, Bangladesh. The proposed model was tested using partial least square structural equation modeling with a sample size of 600 respondents.

The antecedents of customer satisfaction (i.e. service quality, food quality, atmospherics, other customers and perceived value/price) were found to have significant positive effects on customer satisfaction. Customer satisfaction and restaurant reputation were found to have significant positive effects on revisit intention, while variety seeking tendency was found to have a significant negative effect on revisit intention. Trust was found to partially mediate the customer satisfaction-revisit intention and restaurant reputation-revisit intention relationships.

This study is among the first to provide a holistic approach toward the crucial antecedents of customer satisfaction (i.e. service quality, food quality, atmospherics, other customers and perceived value) and revisit intention (i.e. customer satisfaction, variety seeking tendency, trust and restaurant reputation) in one structural equation model, and investigated their interrelationships in the context of dining restaurants. To the authors’ knowledge, this is the first study that has investigated the mediating role of trust between the customer satisfaction-revisit intention and restaurant reputation-revisit intention relationships in the context of dining restaurants. From a market-specific context, this the first study to investigate and link the examined variables in the context of Bangladeshi dining restaurants.

This study aims to investigate the influence of Muslim tourist perceived value (MTPV) on Muslim millennials’ intention to revisit Bandung (Indonesia) with customer satisfaction as an intervening variable.

Using quantitative methods, this study analyzed responses to a questionnaire distributed to 250 respondents from all over Indonesia. To test the hypothesis, the data were analyzed through Path Analysis using SPSS 24.I software.

The results suggest that MTPV has a significant effect on revisit intention to the city. This finding affirms that Islamic values and customer satisfaction are very important in encouraging millennial Muslims to revisit Bandung (Indonesia).

To increase Muslim millennials’ intention to revisit Bandung (Indonesia), tourist perceived value and satisfaction are central factors. The government's role is central in promoting halal tourism through various platforms, such as social media, seminars, workshops inter alia to increase MTPV and satisfaction rate toward the city. In addition, stakeholders in tourism sector should raise the awareness to support and encourage halal tourism through certifications of halal products and tourism services, and view halal tourism as a promising sector of tourism.

This study is the first to study the effects of Muslim tourists perceived value on revisit intention of millennial Muslims to Bandung (Indonesia) with customer satisfaction as an intervening variable. This study reveals the strengths and weaknesses of the perceived value of Muslim tourists in influencing millennial Muslims to revisit the city.

The global increase in coffee consumption has increased competition among cafes, generating the need to find ways of increasing customers’ revisit. Considering this backdrop, the purpose of this paper is to investigate the impact of authenticity, interpersonal justice and prior experience on customer’s revisit intention, taking involvement as a mediator.

The data for this study were collected from 489 customers between April and July 2018 from an emerging coffee market. The customers were approached on a convenience basis and a questionnaire-based survey method was used to collect responses.

The data were analyzed using a two-stage structural equation modeling technique. The study noted authenticity, interpersonal justice and prior experience to not only have a direct impact on revisit intention but also having an indirect impact through involvement.

This study is cross-sectional in nature, which is the foremost limitation of the study. Findings of the study reveal some unexplored dimensions of managing customers’ revisit intention, thus leaving a valuable message for the management of coffee cafes.

This study highlights the importance of authenticity, interpersonal justice, prior experience and involvement with respect to the revisit intention of the customers, as literature is scant on these variables.

The purpose of this paper is to extend the theory of planned behaviour (TPB) to identify the factors influencing Muslim customers’ intention to revisit non-halal certified restaurants.

A purposive sampling method was applied. Self-administered survey questionnaires were distributed around shopping malls in Kuala Lumpur, Putrajaya, the Northern region and the East Coast of Malaysia. From 601 questionnaires collected, only 578 questionnaires were satisfactory. SMART-PLS 3.3.2. was used to analyse the data for this study using a structural equation modelling approach.

The findings confirmed that price fairness and food quality positively influenced attitude perceived behavioural control and food quality affecting the customers’ intention to revisit non-halal certified restaurants. Subjective norm was found to be an insignificant factor towards revisit intention. In addition, the attitude was found to mediate the relationship between price fairness and revisit intention and between food quality and revisit intention. Trust was highlighted as moderating the relationship between attitude and revisit intention.

The findings of this study will primarily benefit food premises, whether halal-certified or otherwise.

The study extends the TPB with food quality and price fairness to identify the factors of revisit intention for the non-halal certified restaurant among Muslim consumers in Malaysia. The study shows the mediating effects of attitude for the relationship between food quality and price fairness towards revisit intention. On top of that, the study also included the moderating effect of trust on the TPB. The findings also enrich the literature on the non-halal certified context.

This study aims to explore customers’ green hotel revisit behaviors, proposing the theory of repeat purchase behavior.

An empirical study is conducted through a questionnaire survey method, using personal interview survey approach in Bangladesh. In all, 401 usable data is collected from participants who have visited green hotels before. The following data are analyzed through partial least squares structural equation modeling (PLS-SEM) using Smart PLS 3.3.3.

Results of the study have raveled that habitual attachment and emotional attachment are significantly related to green hotel revisit intentions (behavioral intention) and revisiting a green hotel (actual behavior). The result also has uncovered that green hotel revisit intentions significantly impacted revisiting a green hotel. Moreover, the study results exert that green hotel revisit intentions partially mediate the relationship between habitual attachments, emotional attachment, and revisiting a green hotel.

The current study enriches green hospitality literature by uncovering the integrated effects of habitual attachment and emotional attachment on customers’ revisit intentions and behaviors in the green hotels’ context.

The study aims to examine the customers' revisit intention toward the green restaurants after service failure based upon service failure attributions. The study further intends to investigate the moderating effect of green self-identity on customers' post-service failure behavioral intentions.

A self-administered questionnaire was distributed to 327 participants who had experienced service failure while dining in green restaurants. The study draws upon the prevailing literature to examine the relationship among the constructs using structural equation modeling (SEM).

The findings of the study have confirmed that service failure has an adverse effect on customers' revisit intention toward the green restaurants. However, customers with green self-identity appear less anxious about service failure as findings indicate customers revisit green restaurant even after service failure.

The study provides a clear indication to the managers of the green restaurants that a better understanding of service failure attributions may facilitate in preventing service failure in a prompt and reasonable manner. It will not only contribute to building the brand reputation, but also ensure that customers stay with the brand for a longer duration.

The study is unique in a way that it is the first of its type to establish a relationship between service failure attributions and customer satisfaction in the emerging South Asian market, such as India in the context of green restaurants. Besides, this is the only study to use green self-identity as a moderator between the relationships of customer satisfaction and revisit intention.

The examination of revisit intentions in hospitality is integral to relationship marketing and customer loyalty. Its measurement and determination have largely been done through closed-ended measures in surveys of customers. However, vast troves of consumer-generated media in the form of open-ended text reviews can also serve as sources for the determination of revisit intentions. The purpose of this paper is to develop and test a rule-based classification model from big data to extract revisit intentions.

Data for this came from 116,241 reviews scraped from Tripadvisor.com using a stratified sampling technique comprising hotels in major cities in the USA. A sample comprising 1,800 reviews was randomly drawn from this larger pool of reviews and manually annotated. A manual-set rule-based model, supervised machine learning (ML) models and hybrid models were developed to extract revisit intention.

The hybrid model of the MSRB method complemented by the gradient boosting ML method performed the best to classify revisit intentions in reviews.

This study’s rule-based classification model can be used by hotels to evaluate revisit intentions from the ever-growing pool of consumer-generated reviews. This can enable hotels to identify drivers of re-patronage and enhance relationship marketing initiatives.

This study is the first to propose an analytical model that taps big data to extracting revisit intentions. In the past, revisit intentions have been assessed using closed-ended questions using traditional survey-based methods.

The purpose of this study is to understand the situation of hotels and tourism industry in Malaysia during and in post Covid-19 and to mitigate indirect damage caused by COVID-19 to the hotel business and tourism industry by examining the factors that have an influence on hotel’s customer satisfaction rating and revisit intention through an integration of service quality (SERVQUAL) framework and expectation-confirmation theory (ECT).

The SERVQUAL and ECT were considered the underpinning theoretical models but are integrated and extended by including a few additional variables. Data were collected from 458 respondents of travelers and hotel customers in Malaysia and analysed by applying partial least squares structural equation model technique.

The empirical results established that significant positive relationships exist between the three newly emerged independent variables (IVs), namely, hygienic practice, greenness of service and digitalization and hotel customer satisfaction towards hotel revisit intention, and only two variables from SERVQUAL, namely, reliability and assurance, have a significant relationship with hotel customer satisfaction towards hotel revisit intention. The results reveal that customer satisfaction has significant direct effect between above-mentioned IVs and customers revisit intention.

The use of purposeful sampling method in only one country might limit the generalizability of the results. Future research should be planned to duplicate the current study using a sizable sample of participants from multiple countries and include other related factors related to the pandemic phenomena such as safety, hotel location and health value offered.

Theoretical findings imply that service quality is a dynamic theory that should be examined continuously to achieve sustainable and resilient performance in today’s competitive business environment, as some modifications inevitably occur over time and new factors could be emerged. Regarding practical implications, study findings proved the great significance of assurance, reliability, digitalization, greenness and hygienic practices on customer satisfaction towards intention to revisit to hotel. Therefore, it is critical for hotel management to retain hotel business industry in a way that fits and matches customer’s health protection, meets customer’s newly prompted expectations and needs and ensures resilience during unsettled times.

This study is unique as the newly emerged variables are included in the research framework, and thus it helps to close the literature gap by introducing an integrated SERVQUAL and ECT theoretical model, which rarely performs in this context and can be replicated or extended with validated scales. This study contributes to enhancing hotel and tourism sustainable service quality performance to achieve myriad economic and health values.

This study aims to use big data analysis and sheds light on key hotel features that play a role in the revisit intention of customers. In addition, this study endeavors to highlight hotel features for different customer segments.

This study uses a machine learning method and analyzes around 100,000 reviews of customers of 100 selected hotels around the world where they had indicated on Trip Advisor their intention to return to a particular hotel. The important features of the hotels are then extracted in terms of the 7Ps of the marketing mix. This study has then segmented customers intending to revisit hotels, based on the similarities in their reviews.

In total, 71 important hotel features are extracted using text analysis of comments. The most important features are the room, staff, food and accessibility. Also, customers are segmented into 15 groups, and key hotel features important for each segment are highlighted.

In this research, the number of repetitions of words was used to identify key hotel features, whereas sentence-based analysis or group analysis of adjacent words can be used.

This study highlights key hotel features that are crucial for customers’ revisit intention and identifies related market segments that can support managers in better designing their strategies and allocating their resources.

By using text mining analysis, this study identifies and classifies important hotel features that are crucial for the revisit intention of customers based on the 7Ps. Methodologically, the authors suggest a comprehensive method to describe the revisit intention of hotel customers based on customer reviews.