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This study aims to conceptualize the characteristics of artificial intelligence (AI) dogs while exploring their applications in tourism and hospitality settings.

The total of 30 in-depth interviews were conducted, and data were analyzed through thematic analysis.

This study proposed differences between AI dogs and real dogs and human-like robots, core characteristics of AI dogs’ functions, a matrix of appearance and expectation regarding intelligence for AI dogs and human-like robots, the relationship between ethical barriers and task complexity, adoptions of AI dogs in different user segments and practical applications in hospitality and tourism settings, such as restaurants, city tour guides, extended-stay resorts and event organizations.

This research advances the field of tourism and hospitality studies by introducing the new concept of AI dogs and their practical applications. This present study adds new insights into the opportunities and contexts of human–robot interaction in the field of tourism and hospitality.

To the best of the authors’ knowledge, this research is one of the first studies of AI dogs in tourism and hospitality.

In the competitive realm of destination branding, understanding the factors that lead tourists to develop a deep emotional connection with a destination’s brand is essential. At the heart of this emotional bond lies destination brand love – an exceptionally profound sentiment transcending mere satisfaction or preference. This concept has recently garnered attention from both tourism academia and industry practice. However, there remains a void in exploring the factors and mechanisms that pave the way for tourists to develop deep affection for a destination’s brand. This study examines the influences of self-congruence and destination immersion on destination brand love. In addition, the linkages from the four facets of self-congruence to destination brand love via the mediating role of destination brand immersion are also scrutinized.

With data collected from 421 tourists in Vietnam, the partial least squares structural equation modeling (PLS-SEM) approach was applied to test the research model and hypotheses.

The results reveal that (1) ideal and ideal social self-congruence impact destination brand love, (2) all four facets of self-congruence impact destination brand immersion and (3) there is an indirect effect of the four facets of self-congruence on destination brand love, mediated by destination brand immersion.

The study’s findings provide evidence that destination characteristics must be symbolic of the destination brand and consistent with its image among tourists, which is essential in understanding the complex behavior of tourists. Indeed, the results indicate that facets of self-congruence significantly influence both destination brand immersion and destination brand love. Therefore, destination marketers should develop marketing strategies that emphasize personal relevance to the tourist destination to increase their sympathy and love for the destination.

Adapting self-congruence theory and the psychology of flow theory, this study presents a model that elucidates both the direct and indirect relationships among the four facets of self-congruence: destination brand immersion and destination brand love based on the aspects of congruence between tourists and destinations. From this, it helps to explore the factors and mechanisms that pave the way for tourists to develop deep affection for a destination’s brand.

The purpose of this study is to examine well-being messaging on Instagram to understand what constitutes transformative social media advertising with potential to enhance consumer lives and create change at a community and societal level.

A novel-phased approach using transformative advertising research and positive psychology is adopted for an in-depth examination of Lululemon, a well-being brand advocate. The study combines secondary case data, analysis of brand messaging on Instagram, interviews with brand followers, and six months of Instagram posts consumer responses.

Four themes – inspiring personal journeys and potential, encouraging mindfulness and gratitude, supporting connection and community and advancing diversity and equity – are used to develop a typology of well-being advertising message elements on Instagram.

This study contributes to the call for research on transformative advertising by establishing that Instagram is a powerful platform for well-being messages, particularly from brands committed to social issues. Practical implications for brands and avenues for future research are provided.

Performance problems in the public sector (PS) necessitate adaptation due to the sector’s uniqueness. Purposeful leadership (PL) may resolve PS adaptive performance (AP) problems. However, there is a paucity of research on the influence of PL on AP. Using data from three large PS organisations in Ghana, this research explores the relationship between PL and AP through job satisfaction (JS) and organisational identification (OI). It also explores the moderating effect of organisational integrity (IN) on the PL–JS and PL–OI relationships.

This paper created and tested a research model using the responses of 875 public servants in Smart PLS 4. Contract fulfilment and perceived organisational support functioned as control factors influencing JS (an intervener). Perceived procedural justice and psychological need satisfaction serve as control factors for OI (another intervener). Age, sex, tenure, education and job position were used as control variables in AP. To assess the role of moderation, we utilised the product indicator approach, and to estimate the role of mediation, we used variance accounted for (VAF). A significance level of 5% was established.

As anticipated, this study found that PL and AP had a significantly positive connection (t = 2.229, p = 0.000, β = 0.138). Both JS (VAF = 27.37%) and OI (VAF = 39.21%) partially mediated this connection. IN positively moderated the PL–JS (t = 4.249, p = 0.000, β = 0.165) and PL–OI (t = 3.704, p = 0.002, β = 0.099) connections.

This paper provides a theoretical and empirical understanding of the PL–AP relationship, how this relationship is facilitated and how the PL–JS and PL–OI relationships are strengthened. It provides a roadmap for upcoming scholars to test the hypotheses in diverse PS contexts globally to broaden the field of leadership. It will be insightful to show how JS and OI jointly mediate this relationship and the potential mediating role of job embeddedness in further studies.

Human resource (HR) practices in PS organisations, such as selecting, leadership enhancement initiatives, promotions, training and performance evaluations, must be guided by a “values-driven strategy” if leadership is to find, cultivate and keep employees capable of devising innovative strategies to manage unforeseen circumstances at work. The leaders are required to demonstrate the values of their organisations in order to set up a role model.

This study highlights the obstacles that purposeful leaders have the potential to mitigate, as well as the prospects that they might offer. It shows the essence for PS organisations to uphold and maintain high integrity standards as their hallmark.

This paper is the first to create and test a research model that shows the relationship between PL and AP. It also shows the different mechanisms (JS and OI) that make this effect possible, as well as the good work environment (i.e. IN) that allows the PL–JS and PL–OI relationships to grow.

The study aims to delve into the “phygital customer journey” (PCJ), which merges physical and digital interactions in customer experiences, using a practice-based lens to reveal the underlying dynamics of these blended encounters.

Feedback from 60 individuals established the groundwork for a qualitative analysis. They chronicled customer journeys through diaries and used UXPressia software for journey mapping. This strategy enabled a detailed exploration of the PCJ, focusing on customers’ lived experiences and perceptions.

The study presents an integrative framework for the PCJ, identifying four key elements: hybrid artefacts (the melding of digital and physical tools/interfaces), blended contexts (the seamless integration of digital and physical spaces), circular actions (the non-linear paths of customer engagement) and intertwined emotions (the complex emotional responses to phygital experiences). These elements underscore the intricate and interconnected nature of the PCJ.

This study advances the field by applying a practice-based approach to unravel the complexities of the PCJ, illuminating the nuanced interplay between digital and physical realms. This innovative lens foregrounds the significance of practices in consumer experiences, thereby contributing to a deeper academic and practical understanding of phygital integration.

Entrepreneurs are generally considered to be committed in order to strive for highly desirable goals, such as growth or commercial success. However, commitment is a multidimensional concept and may have asymmetric relationships with positive or negative entrepreneurial outcomes. This paper aims to provide a nuanced perspective to show under what conditions commitment may be detrimental for entrepreneurs and lead to overinvestment.

Using a sample of entrepreneurs from incubators in France (N = 437), this study employs a configurational perspective, fuzzy-set qualitative comparative analysis (fsQCA), to identify which commitment profiles lead entrepreneurs to overinvest different resources in their entrepreneurial projects.

The paper exposes combinations of conditions that lead to overinvestment and identifies five different commitment profiles: an “Affective profile”, a “Project committed profile”, a “Profession committed profile”, an “Instrumental profile”, and an “Affective project profile”.

The results show that affective commitment is a necessary condition for entrepreneurs to conduct overinvesting behaviors. This complements previous linear research on the interdependence between affect and commitment in fostering detrimental outcomes for nascent entrepreneurs.

The paper examines the role and significance of gastronomic manifestations in the context of destination branding, within the framework of image transfer mechanisms and the Associative Network Memory Model.

The research was conducted on a sample of 53 gastronomic events in the tourist destination of Vojvodina.

The results indicate that gastronomic manifestations image has a positive impact on the brand image and brand identity of the destination, as well as the destination's overall image. Furthermore, the study found that the food experience has a positive influence on the image of gastronomic events and the destination.

The study contributes to the advancement of research on tourist destination branding.

Data storytelling courses position students as agents in creating stories interpreted from data about a social problem or social justice issue. The purpose of this study is to explore two research questions: What themes characterized students’ iterative development of data story topics? Looking back at six years of iterative feedback, what categories of data literacy pedagogy did instructors engage for these themes?.

This project examines six years of data storytelling final projects using thematic analysis and three years of instructor feedback. Ten themes in final projects align with patterns in feedback. Reflections on pedagogical approaches to students’ topic development suggest extending data literacy pedagogy categories – formal, personal and folk (Pangrazio and Sefton-Green, 2020).

Data storytelling can develop students’ abilities to move from being consumers to creators of data and interpretations. The specific topic of personal data exposure or risk has presented some challenges for data literacy instruction (Bowler et al., 2017). What “personal” means in terms of data should be defined more broadly. Extending the data literacy pedagogy categories of formal, personal and folk (Pangrazio and Sefton-Green, 2020) could more effectively center social justice in data literacy instruction.

Implications for practice include positioning students as producers of data interpretation, such as role-playing data analysis or decision-making scenarios.

Data storytelling has the potential to address current challenges in data literacy pedagogy and in teaching critical data literacy.

Course descriptions provide a template for future data literacy pedagogy involving data storytelling, and findings suggest implications for expanding definitions and applications of personal and folk data literacies.