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Purpose This study aims to develop a comprehensive LOHAS (lifestyles of health and sustainability) restaurant service quality scale by using a rigorous qualitative and quantitative research process to effectively measure the service quality of LOHAS restaurants. Moreover, this study aims to further identify the Kano quality characteristics and strategic meanings of service attributes in LOHAS restaurants. Design/methodology/approach This study designed the preliminary items of the service quality scale for LOHAS restaurants (LORSERV scale) based on relevant literatures and expert interview procedures. This study identified the goodness of fit of the questionnaire content, construct validity and validity of the LORSERV scale using exploratory factor analysis and confirmatory factor analysis. The moderated regression was conducted to identify the Kano quality characteristics and strategic meanings of each service attribute in LOHAS restaurants. Findings The results indicated that the LORSERV scale included seven dimensions (internal sense of happiness, transitiveness, environment, healthy catering, service commitment, green practicability and thoughtfulness), for a total of 33 items. According to the results of the Kano model, the seven service attributes were categorized into the attractive quality. A total of 25 service attributes were categorized into the one-dimensional quality, and one service attribute was categorized into the must-be quality. Originality/value The contribution of this study is that the scale could facilitate operators of LOHAS restaurants to effectively understand customer perceptions of service quality and serve as a reference to upgrade and improve service quality. The identification of Kano quality characteristics for each service attribute is conducive for LOHAS restaurants to understand the strategic meanings of each service attribute and can serve as a reference to make distinctive service strategies to reach sustainable operations.

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Purpose Consumers prefer to choose restaurants that value hygiene and safety; therefore, appropriate epidemic prevention measures could restore 30% of lost customers and enhance a restaurant’s reputation during infectious disease outbreaks. Providing customers with safe epidemic prevention service quality is an important mission of the restaurant industry during an epidemic. This study aims to construct an epidemic prevention service quality scale for restaurants (REP-SERV scale). Design/methodology/approach The REP-SERV scale was constructed through internet big data analytics and qualitative and quantitative research procedures. Findings A total of 16 key service factors for restaurant epidemic prevention were extracted through internet big data analytics. The REP-SERV scale contained 28 items in six dimensions, including hygiene, empathy, flexible service, support service, personnel management and body temperature and seating arrangement. Practical implications The REP-SERV scale can help many restaurant operators clearly determine the deficiencies and risks of restaurant epidemic prevention services. Originality/value The findings can provide references to effectively measure and improve the epidemic prevention service quality in restaurants, thereby providing customers with a comfortable and safe dining environment.

Purpose The purpose of this paper is to examine the structural relationship between brand supportive intentions and their seven drivers. Design/methodology/approach A questionnaire survey was used to collect data from respondents who had purchased ASUS products, obtaining 546 valid samples which were analyzed with structural equation modeling and hierarchical regression modeling. Findings Results indicate that positive brand perceptual evaluation and brand co-creation significantly positively influence brand experiential satisfaction, whereas brand regret significantly negatively influences brand experiential satisfaction. In addition, brand experiential satisfaction has a positive influence on brand love, which, in turn, leads to brand supportive intentions. Moreover, brand supportive intentions are positively influenced by brand experiential satisfaction. In addition, brand need for cognition moderates the effect of brand experiential satisfaction on brand supportive intentions. Research limitations/implications Future studies should focus on the respondents who purchase other branded products and compare their findings with this study. Practical implications Investing resources in the increase of brand perceptual evaluation, brand co-creation, brand experiential satisfaction, brand love and brand need for cognition and the decrease of brand regret is helpful to enhance brand supportive intentions. Originality/value This paper provides data that lead to a better understanding of the relationship between relationship brand supportive intentions and their seven drivers in a branding context.

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