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This study aims to ascertain the significance of retail service quality dimensions on shopping frequency at supermarkets in Durban. This study also adopts the Retail Service Quality Scale (RSQS) to South African supermarket consumers.

Primary data were collected from 399 consumers through mall intercepts using an adapted RSQS. Non-probability convenience sampling was utilised in selecting participants from different malls in Durban. To analyse data the SPSS software was utilised with multiple regression analysis to confirm relationships between variables of the study.

Results indicate a significant linear relationship between retail service quality and shopping frequency. Two of the three dimensions of retail service quality (atmospherics and reliability) have a positive and significant influence on the shopping frequency of consumers whereas one dimension (policy) showed no significant influence on the dependent variable.

Further studies are recommended in ascertaining the reasons behind an insignificant relationship between policy items of service quality and the shopping frequency of consumers.

This study highlights the managerial implications of retail service quality on improved shopping frequency of consumers.

This study suggests a lesser emphasis on policy items specifically personal interaction amongst Durban consumers on their shopping frequency. This might be due to cultural differences as well as the importance of self-service and privacy in supermarkets. Furthermore, this study demonstrates the role of context in providing deviations in retail service quality measurement and conceptualisation.

Previous research has been unable to provide a comprehensive method for measuring environment-based experience and its outcomes although it is an essential determinant of the museum experience. Therefore, this paper aims to present a measurement method for exploring how visitors’ servicescape experiences affect their positive word-of-mouth intention (PWOM).

Data were collected by surveying 810 visitors to 3 museums (i.e. Louvre, Pera and Key) representing different museum types. The research model was validated by using partial least squares structural equation modeling.

The predicted associations between sensory, spatial and social experiences, and PWOM were confirmed for Pera. In the Louvre and Key, however, only sensory and social experiences were positively associated with PWOM. In addition, the moderating effect of building type on the relationship between spatial experience and PWOM was demonstrated.

This paper contributes to the servicescape, customer experience and museum literature in several ways. Firstly, this study proposes a measurement method for servicescape experiences. Secondly, this study introduces servicescape experiences as new types of customer experience. Thirdly, this study provides insightful implications for the museum literature and professionals by highlighting how servicescape experiences affect PWOM across different types of museums.

This study aims to show the effectiveness and applicability of artificial intelligence applications in the measurement and evaluation of university services. Universities can gain competitive advantage through providing their students with quality services in various aspects, such as bookstores, dormitories, recreation centers as well as cafeterias. Among these facilities, university cafeterias are places where students spend a significant amount of time. Therefore, this study aims to integrate artificial intelligence application in the evaluation of university cafeteria services based on students' perceptions with two-stage structural equation modeling (SEM) and artificial neural network (ANN) approach.

An artificial intelligence based SEM-ANN hybrid approach was used to determine the factors that have significant influence on student satisfaction, sufficiency-of-services and likelihood-of-recommendation. Data were collected from 373 students through a face-to-face questionnaire. Initially, four service quality dimensions were attained through factor analysis. Then, hypotheses, which were determined via literature review, were tested through SEM-ANN hybrid approach.

Incorporating the results of SEM analysis into the ANN technique resulted in superior models with good prediction performance. Based on four ANN models created and ANN sensitivity analyses conducted, significant predictors of satisfaction, sufficiency, reliability and recommendation are determined and ranked.

Prior studies have assessed service quality using traditional techniques, whereas, this study integrates artificial intelligence in the assessment of higher-educational institutions' services quality. Also, as a distinction from previous studies, this study ranked importance levels of predictor variables through ANN sensitivity analysis.

The extant literature documents the significance of nostalgia-evoking stimuli in promoting consumer behavior. Despite the prevalent use of nostalgia-evoking stimuli in restaurant service, research on nostalgia-evoking restaurants is significantly lacking. As a result, little is known about customers’ cognitive responses toward nostalgia-themed restaurant stimuli and their influences on customer loyalty behavior. Thus, grounded in an extended stimulus-organism-response model, this study aims to examine the role of nostalgia-evoking restaurant stimuli in explaining an integrated model focusing on nostalgia, in relation to local food consumption value, familiarity with nostalgia-triggering restaurants and loyalty and continued patronage.

The authors collected data from 544 Taiwanese customers at nostalgia-themed restaurants. Using PROCESS (Model 6), the direct and indirect effect of nostalgia-evoking restaurant stimuli on loyalty and continued patronage were examined.

The confirmatory factor analysis results showed that five domains of restaurant attributes (i.e., service staff, exterior and interior design, furniture and tableware, local food and atmosphere) are nostalgia-evoking stimuli. The authors also found that these nostalgia-evoking stimuli significantly affected customer loyalty indirectly, through customers’ consumption value and familiarity.

The results of this study help identify the importance of nostalgia-generating cues in nostalgia-themed restaurants and their roles in postpurchase behaviors. The outcomes contribute to an improved understanding of how to exploit nostalgic sentiments in nurturing diners’ consumption value, maintaining customer loyalty and generating greater profits.

To the best of the authors’ knowledge, this is one of the few studies examining restaurant attributes evoking nostalgia and explaining the mechanism by which nostalgia-evoking stimuli affect consumer behavior.

The study’s objective is to measure the importance consumers attach to AI-based attributes, namely, chatbots, face recognition, virtual fitting room, smart parking and cashier-free station in retail stores. The study also examines the specific purpose of using these attributes for shopping.

A conjoint experiment was conducted using fractional factorial design. Consumers were given 14 profiles (AI attributes and its levels) to rank according to their visiting preferences.

The results revealed that the retail chatbot was considered the most important attribute, followed by face recognition, virtual fitting room, smart parking system and cashier-free station. Moreover, consumers prefer to use chatbots for in-store shopping assistance over alerts and updates, customer support and feedback. Similarly, consumers wish a face recognition facility for greetings while entering the store over other services. In addition, cluster analyses revealed that customer groups significantly differ in their preferences for AI-based attributes.

The study guides retail managers to invest in AI technologies to provide consumers with a technology-oriented shopping experience.

Our results provide an insight into the receptivity of AI technologies that consumers would like to experience in their favorite retail stores. The present study contributes to the literature by investigating consumer preferences for various AI technologies and their specific uses for shopping.

In recent days, there has been an increasing interest towards achieving sustainable tourism objectives globally and specifically in Saudi Arabia. The benefits can be maximized if the government is successful in attracting current pilgrims and influence their future intention to revisit the country as tourists. Hence, the purpose of this paper is to measure pilgrims’ revisit intentions to understand more about the possibility of their potential contribution towards the Saudi tourism and hospitality industry in the evolving circumstances.

This paper uses configuration theory to identify the “ideal” type of the pilgrims and compares this to the rest to establish if they differ and if that difference matters. Data were collected from 278 visitors to the Holy Mosque in Makkah, Saudi Arabia, to perform Umrah.

The findings show that a large deviation from the “ideal pilgrim” is negatively related to revisiting intentions and dissemination of positive word of mouth (PWOM).

The development of profiles gives a better understanding of organizations or people across several dimensions looked at holistically. Fundamental to the theory is that there are only a limited number of configurations that achieve optimal performance (however defined).

The analytical approach adopted in this paper leads to achieving verbal and statistical correspondence in tests of “gestalts”. The interest is in establishing whether this difference matters to intentions to revisit and providing PWOM.

The purpose of this study is to investigate the motivations, attitudes and intentions towards luxury dining in airplane themed restaurants (ATRs). The moderating roles of desire to fly, desire for luxury and fear of missing out (FOMO) towards attitude and intention to embark on this ATR experience are also investigated.

Data are collected through a consumer panel. A total of 315 valid responses were analysed using exploratory factor analysis, confirmatory factor analysis and multi-group moderation. To enhance ecological validity, a stimulus for the Singapore Airlines A380 Restaurant @Changi was created to ensure complete understanding of the product offering by the participants.

Three motivation factors were discovered – novelty, escape and supporting reliving. Interestingly, it was also found that the attitude towards ATR partially mediated the relationship between supportive reliving and intention towards ATRs. Disposition towards FOMO was found to moderate the effect of attitude towards ATR on intention towards ATR. Negative effect between escape motivation and attitude towards the ATR from the moderation analysis for desire for luxury and desire to fly shows that people are still hesitant to accept the ATR as a replacement to satisfy their salient needs for luxury travel.

Insights of this study demonstrate that local airlines could pivot their business through innovative offerings during the pandemic. The ATR concept can be effectively marketed by appealing to hedonistic and nationalistic needs and to avoid positioning it as an alternative for flying.

This is a novel concept introduced during the COVID-19 pandemic. Unprecedentedly, it uncovers the motivations, attitudes and intentions towards luxury dining in ATRs as a means to compensate for the pent-up desire to relive the experience of air travel.

Given the scarcity of studies regarding religious food as a destination attraction and limited research on tourist halal food experience, this study aims to explore and compare halal food experience perceived by Muslim and non-Muslim tourists in a non-Islamic destination.

This study was carried out in a halal food street in Yuanjia Village, China. It used a qualitative approach and interviewed 16 Muslim tourists and 20 non-Muslim tourists.

Six themes and 18 attributes of halal food experience were identified. The findings revealed that Muslim tourists saw the reassuring options and religious value of halal food as important experiences. By contrast, the experiences of abundant choices, value for money, sensory pleasure and unique charm were frequently mentioned by non-Muslim tourists. The nature of halal food, the context of China (i.e. Chinese halal food culture) and the feature of research site (i.e. food operation of Yuanjia Village) work together to create such experiences.

To the best of the authors’ knowledge, this is one of the first studies to explore and compare halal food experiences of Muslim and non-Muslim tourists in a non-Islamic country (China). This study suggests that halal food could be an appealing destination attraction, even in non-Islamic destinations. Thus, this study contributes to a better understanding of the halal food experiences and assists destination marketers in promoting halal food.

Hotel servicescapes have been extensively examined in the literature; however, there has been less attention on green servicescapes that attract consumers to visit green hotels. This model explores the relationship among green servicescapes – green items, green surfaces, natural environment, green consumerism and their outcomes, including intentions to return and green evangelism with a moderating role of green perceived quality.

The multi-wave method was utilized to gather data from China's major cities, Beijing and Shanghai. A total of 462 responses were received over three waves. Subsequently, the data were analyzed employing structural equation modeling (SEM) in Smart PLS 4.

The findings indicated that green servicescape – green items, green surfaces and natural environment – have a positive impact on green consumerism. The authors have discovered that green consumerism leads to positive intentions among consumers to return and engage in green evangelism. Green perceived quality significantly moderated the relationship between green servicescape and green consumerism.

The study offers insightful contributions to academia and managerial fields, encompassing consumer psychology, consumer behaviour, the stimulus-organism-response (SOR) framework and servicescapes. Additionally, it assists hotel managers in addressing challenges stemming from the competitive environment and creating a more environmentally friendly atmosphere.

The research focused on the innovative reflective model of green consumerism model and adopted a pioneering approach to examine green servicescapes within the hotel industry. This study enhances understanding of consumer intentions to return and the influence of green consumerism on green evangelism, while also quantifying the significance of green perceived quality.

In line with rapidly developing digitalized marketing technologies, extended service quality has been actively investigated in the exhibition industry. The importance of distinct perceived value linked to service quality has also been emphasized for increasing customer satisfaction. Further, customer loyalty facilitators, such as trust, commitment, and inertia, have been actively discussed in building long-term relationships between firms and their customers. Because establishing an iterative customer loyalty journey is the key to a marketing strategy, the purpose of this study was to clarify how the trinity of extended service quality, distinct perceived value, and customer loyalty facilitators works in that journey.

Partial least squares-based structural equation modeling (PLS-SEM) was used to examine the model fit, composite reliability, convergent validity, and discriminant validity of the constructs. PLS-SEM was also used to assess direct and indirect (i.e. mediating) effects.

First, the conceptual framework necessary for establishing an iterative customer loyalty journey has been empirically identified. Second, service technology is a key construct of extended service quality as exhibitions transform into digitalized communication platforms. Third, both distinct perceived value and satisfaction act as significant mediators between extended service quality and customer loyalty facilitators.

An effective framework for the iterative customer loyalty journey is theoretically designed and empirically confirmed by drawing a complex but comprehensive map of the trinity (i.e. extended service quality, distinct perceived value, and customer loyalty facilitators).