Search Results (186)

This research proposes an adaptation of the quality–loyalty model in which affective commitment is integrated as a key factor in the proposed framework. The study presented a comprehensive framework encompassing 11 hypotheses formulated from an extensive literature review. Empirical data collected from 679 environmentally conscious consumers predominantly residing in Vietnam’s three principal urban centers were employed to evaluate these hypotheses. The assessment was executed utilizing the partial least squares structural equation modeling technique. The results of this research authenticate the appropriateness of the integrated model in studying green consumption, verify the critical role of affective commitment in the newly introduced model, and identify the high impact of affective commitment on green loyalty intention and green purchase behavior. This research also shows that other factors of the quality–loyalty model have significant influences on affective commitment and green loyalty intention. Moreover, this study signifies the crucial role of green perceived quality in fostering affective commitment and green loyalty intention. Green perceived quality was identified as a key factor influencing green loyalty intention and played a crucial role in encouraging customers to purchase environmentally friendly products. Full article

This study dives into what drives people to use AR filters in the catering industry, focusing on the Hong Kong market. The main idea is to determine how “perceived value” shapes users’ intentions to engage with these filters. To do this, the research combines concepts from two popular models—the extended Technology Acceptance Model (TAM) and the Satisfaction–Loyalty Model (SLM)—to understand what influences perceived value. The survey data were then analyzed with Structural Equation Modeling (SEM) to see how perceived usefulness, enjoyment, satisfaction, and value connect to users’ intentions. The results showed that “perceived value” is a big deal—the main factor driving whether people want to use AR filters. Things like how useful or enjoyable the filters are and how satisfied users feel all play a role in shaping this perceived value. These findings are gold for marketing teams and AR developers, especially in the catering world. Combining TAM and the Satisfaction–Loyalty Model offers a fresh perspective on how AR technology influences consumer behavior. On top of that, it gives practical advice for businesses looking to make the most of AR filters in their marketing and customer experience strategies. Full article

Sociodemographic aspects influence consumer perception in a food hall. This study evaluates the attributes that determine the gastronomic experience and examines how sociodemographic aspects (age, education level, income, consumption) affect the perception of restaurant attributes, satisfaction, and loyalty. Using a valid sample of 420 participants, exploratory factor analysis and multiple regression were applied. The results show that education level and income significantly affect satisfaction (β = −0.173; p = 0.006 and β = 0.195; p = 0.015, respectively) and loyalty dimensions, including revisit intention (β = −0.179; p = 0.004 and β = 0.269; p = 0.001), recommendation (β = −0.171; p = 0.005 and β = 0.295; p = 0.001), and intention to say positive things (β = −0.120; p = 0.051 and β = 0.215; p = 0.006). Unlike prior studies focused on traditional restaurants, this research offers new empirical evidence within food halls as hybrid gastronomic spaces. The findings provide practical insights for food hall managers and urban tourism developers by emphasizing the importance of segmenting marketing strategies according to education, income, and visit frequency to enhance customer satisfaction, loyalty, and destination attractiveness. Full article

As digital technology evolves rapidly, smart tourism has become a significant trend in the modernization of the industry, relying on advanced tools like big data and cloud computing to improve travelers’ experiences. Despite the growing use of human–computer interaction in museums, there remains a lack of in-depth academic investigation into its impact on visitors’ behavioral intentions regarding museum engagement. This paper employs Cognitive Appraisal Theory, considers human–computer interaction experience as the independent variable, and introduces destination image and satisfaction as mediators to examine their impact on destination loyalty. Based on a survey of 537 participants, the research shows that human–computer interaction experience has a significant positive impact on destination image, satisfaction, and loyalty. Destination image and satisfaction play a partial and sequential mediating role in this relationship. This paper explores the influence mechanism of human–computer interaction experience on destination loyalty and proposes practical interactive solutions for museums, aiming to offer insights for smart tourism research and practice. Full article

Understanding and promoting guest satisfaction is central to the economic sustainability of the hospitality industry. Satisfaction influences consumers’ booking intentions, hotel choice, loyalty, and the reputation and performance of accommodation establishments. Thus, accurate decision making by hotel managers relies on trustworthy and easily accessible information on the variables that affect guest satisfaction. Nowadays, this information is available through reviews and ratings provided by online platforms, such as TripAdvisor. Indeed, much research into guest satisfaction uses TripAdvisor reviews. However, this study aims to analyse guest satisfaction using only TripAdvisor ratings. These ratings can be more succinct and tractable indicators than reviews. A sample of 118 hotels in Cape Verde and the Azores, two archipelagos belonging to Macaronesia, and a descriptive, predictive, and discriminant methodology are employed for this purpose. Four main results are obtained. First, the rated items on TripAdvisor are consistent with the scientific literature on this topic. Second, TripAdvisor ratings are valid and reliable. Third, TripAdvisor ratings can predict guest satisfaction based on the perceived quality of hotel services. Fourth, there are significant differences in ratings depending on the tourism destination chosen. These results are of interest to researchers, tourists, as well as hotel, destination, and platform managers. Full article

In an increasingly digitalized marketplace, understanding Generation Z’s (Gen Z) online consumer behavior has become a critical priority, particularly in relation to newly launched technological products. Although online consumer behavior has been widely studied, a gap remains in understanding how the location of the e-shop (domestic vs. international) moderates this behavior. Addressing this gap, the present study adopts a quantitative, cross-sectional design with data from 302 Gen Z participants, using a hybrid sampling method that combines convenience and systematic techniques. A structured questionnaire, grounded in 19 well-established behavioral theories, was employed to examine the influence of six key factors, behavioral and attitudinal traits, social and peer influences, marketing impact, online experience, brand perceptions, and Gen Z characteristics, across various stages of the consumer journey. Moderation analysis revealed that e-shop location significantly affects the strength of relationships between these factors and both purchase intention and post-purchase behavior. Notably, Gen Z’s values and marketing responsiveness were found to be more predictive in the context of international e-shops. These findings highlight the importance of marketing strategies that are both locally relevant and globally informed. For businesses, this research offers actionable insights into how digital engagement and brand messaging can be tailored to meet the unique expectations of Gen Z consumers across diverse e-commerce contexts, thereby enhancing consumer satisfaction, loyalty, and brand advocacy. Full article

Background/Objectives: Beef is a significant dietary component, and the concept of food quality is inherently complex and multidimensional. This study addresses this complexity within the context of beef products by examining four key attributes: price fairness, freshness, portion size, and packaging. It further investigates the structural relationships among food quality, consumer trust, and revisit intention, with particular attention to the moderating role of price fairness in the link between trust and revisit intention. Methods: Data were collected through an online survey administered via the Clickworker platform, targeting 415 U.S. consumers selected for their cultural relevance and substantial beef consumption. Structural equation modeling using maximum likelihood estimation was employed to test the hypotheses, and Hayes’ process model 15 was applied to assess the moderating effects. Results: The results show that consumer trust is positively influenced by all four quality attributes, and that freshness, portion size, packaging, and trust are positively associated with revisit and repurchase intentions. Moreover, price fairness demonstrated a significant moderating effect, framed within the heuristic decision-making perspective. Conclusions: This study contributes to the literature by shedding light on the determinants of consumer trust and repeat purchasing behavior in beef consumption. It underscores the heuristic role of price fairness and the interplay between perceived quality attributes and trust, offering practical insights for businesses seeking to enhance consumer perception and foster brand loyalty. However, this work is limited to the selection of the sample. Full article

The evaluation of port service quality (PSQ) is critical for enhancing the competitiveness of container terminals. As technological innovation continues to reshape port operations, PSQ has shifted beyond operational efficiency to deliver smart, reliable, and sustainable services. However, few studies have addressed PSQ in the context of smart port evolution, especially with a focus on container terminals. This study employs a five-dimensional framework, comprising resources, outcomes, process, management, image, and social responsibility, to analyze how PSQ influences customer satisfaction and how customer satisfaction, in turn, affects customer loyalty and referral intention. The data was collected through a survey targeting users of container terminals in five major ports in Korea that undergoing smart port transformation, resulting in a final sample of 324 respondents. The findings reveal that resource-related, process-related, and image- & social responsibility-related PSQ dimensions significantly enhance customer satisfaction, which in turn has a positive effect on customer loyalty and referral intention. In contrast, the outcome-related and management-related dimensions did not have a significant impact on customer satisfaction. The analysis results and various implications discussed in this study are expected to provide helpful information and insights for establishing strategies to enhance the competitiveness of smart ports in the future. Full article

Cosmetics companies are increasingly integrating augmented reality and artificial intelligence technologies into products and services referred to as beauty tech; consumer perceptions of these solutions, however, remain understudied. Data generated via an online survey are implemented in a stimulus–organism–response framework, deduced from the beauty tech literature. Thereupon, the study identifies how interactivity, informativeness, personalization, and service quality of digital and physical beauty tech solutions for home use affect utilitarian and hedonistic values and the perceived risk factors among consumers. Via customer satisfaction, the effect of the value perception on the purchase intention and loyalty is considered. Results hint at strong effects of characteristics of the services and applications on the utilitarian and the hedonistic dimension of customer experience, which in turn strongly influence customer satisfaction. Perceived risk factors play only a marginal role. Only regarding the tested physical product does higher service quality add to the customer experience. Customer satisfaction in turn results in positive brand perception across different stages of the customer journey and leads to a higher purchase intention, positive brand advocacy, and a higher re-purchase intention. Consequently, well-designed solutions can generate higher customer satisfaction and loyalty on multiple stages along the customer journey. Full article

This study investigated Generation Z’s repurchase intention in social commerce environments by integrating three theoretical frameworks: the unified theory of acceptance and use of technology, signaling theory, and herding behavior. The research addressed critical gaps in understanding continued engagement behaviors of digitally native consumers in socially embedded commerce platforms. Data were collected from 542 Generation Z consumers using a structured questionnaire, and relationships were tested using partial least squares structural equation modeling. Results demonstrated that all UTAUT factors significantly influenced repurchase intention. Return policy leniency, as a quality signal, positively impacted repurchase intention both directly and indirectly through enhanced online trust. Fear of missing out demonstrated significant direct effects on repurchase intention and operated indirectly through imitative behaviors. This research advances the theoretical understanding of Generation Z’s continued engagement with social commerce by validating an integrated framework that simultaneously accounts for technological, informational, and social-psychological dimensions. The findings provide practical guidance for social commerce platforms seeking to enhance Generation Z’s loyalty through balanced strategies addressing functional performance, trust-building signals, and social validation mechanisms. Full article

This study aims to identify the factors that influence the behavior of Costa Rican tourists visiting rural destinations after the COVID-19 pandemic, thereby contributing to sustainable rural tourism development. The study applies data analysis using the partial least squares (PLS) regression technique to evaluate a reflective measurement model, based on data collected via a questionnaire. The evidence indicates that for the analyzed destination, the most significant factors influencing the behavior of Costa Rican tourists visiting rural destinations after the COVID-19 pandemic are learning, ICTs, and, in particular, relaxation. Although biosecurity and social influence do not affect the intention to return, these findings highlight the crucial role of learning and ICTs in the tourist experience and loyalty to the destination. This study contributes novel empirical insights to the still limited post-pandemic research on rural tourism, by providing current information on changes in tourist behavior in a specific post-pandemic context. Additionally, it focuses on a popular rural tourist destination in Costa Rica, offering a deeper understanding of a less explored tourism segment, as most previous studies have examined urban or international tourism. Specifically, this research addresses the gap regarding domestic tourist behavior in rural areas using a quantitative approach (PLS), revealing key drivers of return intention. The findings may also be relevant for rural destinations facing similar post-pandemic challenges in other countries. Full article

Although impulsive and hedonic purchasing behaviors may seem to contradict sustainability principles, there are unexplored opportunities through which social media platforms and influencers can redirect these impulses toward sustainable actions. Young consumers, increasingly concerned about the ecological impact of their choices, can be encouraged to adopt responsible and sustainable buying behaviors when these are promoted attractively, enjoyably, and emotionally satisfyingly through social media. This research investigates how social media communication influences hedonic and impulsive purchasing behavior in the Romanian clothing market. In the context where social media is one of the main sources of information and influence for consumers, the research analyzes several determining factors of the purchase decision. Price reductions and the use of credit cards are highlighted as elements that facilitate spontaneous and hedonic targeted purchases, while the attractiveness of clothing items and the need felt play an important role in terms of the desire to buy. In addition, sources of information (such as reviews) have a major impact on consumers’ perceptions and their purchase intentions. Additionally, the study investigates factors such as overall shopping experience and its influence on consumer loyalty. It is approached from two perspectives: attitudinal loyalty, reflected in the preference for brands promoted on social media, and behavioral loyalty, expressed through repeat purchases. The results show that social media acts as an accelerator for hedonic and impulsive buying behaviors, prompting consumers to react quickly to stimuli such as discount campaigns or personalized recommendations. The conclusions highlight the importance of adopting digital marketing strategies that capitalize on the consumers emotional need while also strengthening brand loyalty. These perspectives can guide companies in the clothing industry to adapt their promotion methods to the specifics of the Romanian market and the consumer behavior. Full article

This study explores the factors influencing Arab tourists’ intention to revisit Turkish destinations, contributing to the theoretical discourse on tourist behavior, destination loyalty, and sustainable tourism development. Over the past decade, Türkiye (Turkey) has experienced a steady increase in tourists, with Arab visitors forming a significant segment. This growing market segment presents unique opportunities and challenges that remain understudied in academic literature. Despite their prominence, limited research exists on Arab tourists’ behavior, needs, and experiences in Türkiye. This study employs a mixed-method approach, combining surveys and interviews conducted between July and December 2024. Data from 713 surveys and 14 interviews were analyzed, revealing that 72% of Arab tourists were satisfied with their current visit, 49% with previous visits, 57% indicated a strong intention to revisit, and 81% recommended Turkish destinations to others. The study identifies seven key dimensions of revisit intention through Exploratory Factor Analysis that collectively explain 79.841% of the variance in revisit intention. The regression analysis demonstrates how different factors contribute to revisit decisions, with overall satisfaction (β = 0.622), loyalty (β = 0.521), financial status (β = 0.507), behavior of staff and locals (β = 0.484), cultural and social appeal (β = 0.478), overall experiences (β = 0.329), educational level (β = 0.333), accessibility and convenience (β = 0.288), service quality (β = 0.216), and length of stay (β = 0.128) emerging as significant predictors. These findings underscore the complexity of the decision-making process, suggesting that no single theory can fully explain tourists’ behavior and the sustainability of their visits. The study recommends further exploration of the proposed model and investments in tourism staff training, particularly in foreign languages, to enhance service quality and encourage repeat visits. Addressing issues such as unprofessional behavior and language barriers can improve overall satisfaction and loyalty, increasing the likelihood of Arab tourists revisiting Türkiye. This research highlights the importance of sustainable tourism practices in fostering long-term economic and social benefits for Turkish destinations. Full article

The fintech sector is entering the maturity phase of the life cycle, in which customer brand engagement (CBE) is connecting companies and customers. The aim of this paper is to investigate the driving forces behind CBE in the fintech sector and its contribution to loyalty intentions. In the framework of service-dominant logic, a quantitative approach on 239 fintech users was undertaken to propose and validate a conceptual model of customer brand engagement in fintech, using Partial Least Square–Structural Equation Modeling. The results showed that the perception of personalization, the perception of interaction between customers and brands, and the perception of benefits contribute to CBE in fintech, and the latter is positively associated with loyalty intentions. This research contributes to the literature of brand engagement by offering an integrative framework to analyze CBE in the fintech sector. Full article

Tourism has become one of the most important industries in the business world, significantly impacting various economies. In order to have a better understanding of tourist behavior, this study aims to examine the image of the destination and the value of the brand as predictors of the behavior of tourists, assuming happiness as a mediating link. From a quantitative, non-experimental and cross-sectional methodological perspective, the information of a sample of 425 tourists was analyzed. The results support that tourist happiness predicts their intention to revisit a tourist destination (Path Coefficient 0.921). Also, tourist happiness and the intention to revisit predict the intention to recommend a tourist place. These results suggest that tourist happiness plays a fundamental role in aspects such as loyalty and the promotion of a destination, so it is important for tourism companies to promote tourist happiness as a marketing strategy that drives them to word-of-mouth recommendations and the intention to revisit a tourist destination. Full article