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The purpose of this paper is to obtain perceptions from three distinct millennial segments about human and nonhuman brands related to travel. Specifically, inter and intra relationships between human and nonhuman brand credibility and equity constructs were investigated.

Three millennial generational segments representing 571 respondents familiar with human and nonhuman brands, were investigated to explore their human and nonhuman brand credibility and equity perceptual issues. Structural equation modeling was employed to test the study hypotheses. Multi-group analysis was used to observe group differences.

Selected millennial segments were found to have differences in their behavior pertaining to human and nonhuman brand constructs. All hypotheses of the overall model were accepted. For group differences, a significant difference was observed. Gen Z was found to be different in emulating humans and their linked nonhuman brands when compared to both younger and older Gen Y segments.

Study findings contribute to the marketing and tourism branding literature, as do findings related to generational differences.

The authors suggested implications for hospitality and tourism marketing professionals under the headings of emotional attachment, entertaining content, use of social media and exploring brands online. Implications including multicultural, brands with strong values and engaging with brands can be helpful for hospitality managers in attracting millennials.

Social implications suggest behavioral differences related to three sub-groups of generational cohorts involving millennials.

This is the first study dedicated to observing millennial perceptions for human and nonhuman brands.

Posting and sharing about food on social media has surged in popularity amongst younger generations such as Millennials and Generation Z. This study aims to analyse and compare food-tourism sharing behaviour on social media across generations. First, this study specifically investigates the factors influencing the intention to share food experiences on social media; second, it examines the impact of sharing intention on actual behaviour and loyalty; and third, it determines whether Millennials and Generation Z differ in these relationships.

A survey was carried out of Millennial and Generation Z travellers who shared food experiences on social media. Structural equation modelling (SEM) and multi-group analysis were performed to examine the cause-and-effect relationship in both generations.

The findings reveal differences in motivation, satisfaction, sharing intention, sharing behaviour and loyalty between generations (Millennials and Generation Z).

This study contributes to the literature on the antecedents of food-sharing behaviour in online communities by indicating factors that influence the sharing of culinary experiences and brand or destination loyalty across generations. Suggestions for future research include exploring online food-sharing behaviour through cross-cultural comparisons in various regions.

As Millennials and Generation Z will expand their market share in the coming years, the findings of this study can help improve marketing strategies for culinary tourism and generate more intense food experiences for both generations.

The outcome of the research provides new insights to develop a conceptual model of food-sharing behaviour and tourism on social media by drawing comparisons across generations.

This study aims to investigate the impact of service quality (SQ), perceived value (PV) and consumer satisfaction on Thai street food, with customer satisfaction (CS) as a mediator for customer loyalty and repurchase intention (RI). It also explores how consumer trust (CT) in Thai street food safety moderates these relationships.

Structural equation modelling (SEM) was utilised to analyse the complex interrelationships between various constructs. Multi-group analyses were conducted to investigate the moderating effects of CT on the structural model, considering two distinct groups based on trust levels: low and high.

The findings revealed that SQ and PV significantly influenced CS and behavioural intention, while the perceived quality of Thai street food had no significant impact on post-COVID-19 consumer satisfaction. The study highlighted the critical role of CT in moderating the relationships between SQ, PV and CS, with distinct effects observed in groups with varying trust levels.

The research emphasises the importance of enhancing SQ and delivering value to customers in the context of Thai street food, which can contribute to increased CS, RI and positive word-of-mouth. Furthermore, the study underscores the critical role of building CT in fostering enduring customer relationships and promoting consumer satisfaction and loyalty.

This research offers valuable insights into consumer behaviour and decision-making processes, particularly within the realm of Thai street food. It underscores the significance of understanding and nurturing CT, especially in the post-COVID-19 landscape, emphasising the need for effective business strategies and consumer engagement.

The paper aims to compare two general team identification processes of consumers’ in-group-favor and out-group-animosity responses to sports sponsorship.

The paper draws on two studies and four samples of professional baseball fans in Taiwan (N = 1,294). In Study 1, data from the fans of three teams were analyzed by using multi-group structural equation modeling to account for team effects and to consider parallel in-group-favor and out-group-animosity processes. In Study 2, the fans of one team were sampled and randomly assigned to assess the sponsors of one of three specific competitor teams to account for differences in team competition and rivalry. In both studies, these two processes were compared using patterns of significant relationships and differences in the indirect identification-attitude-outcome relationships.

Positive outcomes of in-group-favor processes were broader in scope and were more pronounced in absolute magnitude than the negative outcomes of out-group-animosity processes across all outcomes and studies.

The research was conducted in one country and considered the sponsorship of one sport. It is possible that the results could differ for leagues within different countries, more global leagues and different fan bases.

The results suggest that managers should carefully consider whether the negative out-group-animosity outcomes are actually present, broad enough or strong enough to warrant costly or compromising intervention, because they might not always be present or meaningful.

The paper demonstrates the comparatively greater breadth and strength of in-group-favor processes when compared directly to out-group-animosity processes.

Predicting the stock market's prices has always been an interesting topic since its closely related to making money. Recently, the advances in natural language processing (NLP) have opened new perspectives for solving this task. The purpose of this paper is to show a state-of-the-art natural language approach to using language in predicting the stock market.

In this paper, the conventional statistical models for time-series prediction are implemented as a benchmark. Then, for methodological comparison, various state-of-the-art natural language models ranging from the baseline convolutional and recurrent neural network models to the most advanced transformer-based models are developed, implemented and tested.

Experimental results show that there is a correlation between the textual information in the news headlines and stock price prediction. The model based on the GRU (gated recurrent unit) cell with one linear layer, which takes pairs of the historical prices and the sentiment score calculated using transformer-based models, achieved the best result.

This study provides an insight into how to use NLP to improve stock price prediction and shows that there is a correlation between news headlines and stock price prediction.

The purpose of this paper is to examine the role that Facebook Fan Pages (FFPs) play in the generation of visit intention. The study has three objectives: first, to examine the effects of museum-generated content (MGC) on perceived information quality and perceived customer service and perceived information quality and perceived customer service on visit intention and, second, to test the model with two samples to make comparisons that provide useful insights.

Data were collected through an online survey that achieved 308 valid responses. A multi-group analysis was conducted to compare the results from two groups: users of the Frida Kahlo museum and Anahuacalli museum FFPs.

The results reveal that there are significant differences between the two samples regarding the direct effects of perceived information quality on visit intention and perceived customer service on visit intention. The authors also noted a slight difference between the two museums’ FFPs in the relationship between MGC and perceived information quality.

Further research is needed to examine other FFP factors that influence visit intention to clarify the results obtained from the two samples and to analyse the proposed model in other settings. This research contributes to the literature concerning the impact of online platforms on visit intention.

The findings provide useful insights for managers as to how to increase their FFP followers’ intention to visit their establishments.

El propósito de esta investigación es examinar el papel que desempeñan las páginas de fans de Facebook (PFFs) en la generación de intenciones de visita. El objetivo de este estudio es doble: primero, examinar los efectos del contenido generado por el museo sobre la calidad de la información percibida y el atención al cliente percibido, y la calidad de la información percibida y el atención al cliente percibido sobre las intenciones de la visita y el segundo, probar el modelo en dos muestras para establecer una comparación que proporcione ideas útiles.

Los datos fueron recogidos a través de una encuesta online de 308 respuestas válidas. Se realiza un análisis multigrupo para comparar los resultados entre dos grupos: PFF del museo de Frida Kahlo y la PFF del museo Anahuacalli.

Los resultados revelan que existen diferencias significativas entre las dos muestras con respecto a los efectos directos de la calidad de la información percibida en las intenciones de visita y el servicio al cliente percibido en las intenciones de visita. También se ha observado una ligera diferencia entre las PFF de los dos museos en la relación entre el contenido generado por el museo y la calidad de la información percibida.

Se necesita más investigación para examinar otros factores en las PFF que influyen en las intenciones de visitar, aclarar los diferentes resultados obtenidos en las dos muestras y analizar el modelo propuesto en otros entornos. Esta investigación contribuye a la literatura sobre el impacto de las plataformas online en las intenciones de visitar.

Los resultados proporcionan información útil para los gerentes sobre cómo aumentar las intenciones de sus seguidores de visitar sus establecimientos.

Intención de visitar, Contenido generado por el museo, Calidad de la información percibida, Atención al cliente percibido, Facebook

Trabajo de investigación

This study aims to investigate how media content consumed through immersive technology may evoke changes in human rights attitudes. It has been proposed that our inability to empathize with others could be overcome by stepping into another's shoes. “Immersive journalism” has been postulated as being able to place us into the shoes of those whose feelings and experiences are distant to us. While virtual reality (VR) and 360-degree news videos have become widely available, it remains unclear how the consumption of content through immersive journalism affects users' attitudes.

Utilizing a between-subject laboratory-controlled experiment (N = 87) this study examined participant scores on the Human Rights Questionnaire before and after consuming 360-degree video immersive journalism content via VR (n = 31), 2D (n = 29), and Article (n = 27) formats. Collected data were analysed using statistical inference.

Results indicate that immersive journalism can elicit a positive attitudinal change in users, unlike an Article, with mobile VR having a more prominent effect than a 2D screen. Furthermore, this change is more strongly affected by users' higher Involvement in the content.

These findings are relevant for grasping the distinct effects novel and recently popularized technologies and media have on attitudinal change, as well as inform the current debate on the value of VR as “empathy machines”.

Supporting distant teams is a frequent phenomenon. Through the lens of the social identity theory, this research aims to examine differences between local and distant fans regarding drivers of team identification.

A multigroup structural equation model was employed. The data were collected through an online survey with 1,285 sports fans.

Team distinctiveness constitutes an important aspect fueling identification for all fans, whereas congruence between own and team personality is important for local and displaced fans only. Team prestige does not impact identification for either group.

To build up a base of highly identified supporters, clubs should emphasize those aspects of team brands that fans consider distinctive. When targeting local fans, clubs should also focus on communicating the brand's unique personality aspects.

This is the first study that assesses the potential differences behind fans' social identification with local and distant teams.

This paper aims to understand the impact of service quality on corporate image and customer satisfaction. Furthermore, this study also examined the influence of corporate image and customer satisfaction on revisit intention and word of mouth. The mediation effect of corporate image and customer satisfaction on the relationships between service quality–revisit intention and service quality–word of mouth was also examined.

This study used the survey questionnaire method and collected data from 253 respondents comprising of customers who had karaoke singing experience in the Karaoke television (KTV). The partial least squares structural equation modeling was used in this study.

This study found that service quality has a significant positive influence on corporate image and customer satisfaction. Corporate image does not have a significant influence on revisit intention but has a significant positive influence on word of mouth. Furthermore, customer satisfaction has a significant positive influence on revisit intention and word of mouth. The mediation effect of corporate image and customer satisfaction is also found to be significant for most of the relationships.

This study showed the importance of service on customers’ reactions and behaviors in the KTV context, which have not been previously investigated. Businesses should always provide superior service quality to their customers because it impacts their subsequent behaviors such as revisit intention and word of mouth.

This paper aims to provide and empirically test a conceptual model in which artificial intelligence (AI), knowledge management processes (KMPs) and supply chain resilience (SCR) are simultaneously considered in terms of their reciprocal relationships and impact on manufacturing firm performance (MFP).

In the study, six hypotheses have been developed and tested through an empirical survey administered to 120 senior executives of Italian manufacturing firms. The data analysis has been carried out via the partial least squares structural equation modelling approach, using the Advanced Analysis for Composites 2.0 variance-based software program.

Using a conceptual model validated using an empirical survey, the study sheds light on the relationships between AI, KMPs and SCR, as well as their impacts on MFP. In particular, the authors show the positive effects of the adoption of AI on KMPs, as well as the influence of KMPs on SCR and MFP. Finally, the authors demonstrate that KMPs act as a mediator through which AI affects SCR and MFP.

This study highlights the critical role of KMPs for manufacturing firms that can deploy AI to stimulate KMPs and through attaining a high level of the latter might succeed in enhancing both their SCR and MFP.

This study demonstrates that manufacturing firms interested in properly applying AI to ameliorate their performance and resilience must carefully consider KMPs as a mediator mechanism.