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This study aims to investigate the perceptions of service providers in the travel and hospitality industry toward the adoption of blockchain technology (BCT), focusing on its impact on consumer experiences and expectations, especially in terms of trustworthiness and the management of privacy and security concerns.

The research used a quantitative methodology, collecting data from 135 industry practitioners across five tourism sectors (lodging, connected industries, entertainment, FandB, transportation) in Europe. This approach aimed to understand the diverse perspectives on the benefits and challenges of implementing BCT in their opera

The results indicate mixed perceptions regarding blockchain adoption. While there are positive views on BCT’s potential to enhance customer experience and service quality, there are significant concerns about its impact on trust and security. A consensus exists between customer and provider perspectives on BCT’s trustworthiness, but significant differences were observed in views on privacy and security enhancement.

This research contributes to the existing literature by providing insights into the service providers’ and customers’ perspectives on BCT within the travel and hospitality industry. It underscores the complexities of adopting new technologies and calls for more in-depth studies to address the identified concerns, thereby offering a novel viewpoint on the adoption of distributed ledger technologies in enhancing customer experience and service delivery.

本研究调查了旅游与酒店行业服务提供商对区块链技术（BCT）应用的看法, 重点关注其对消费者体验和期望的影响, 尤其是在可信度以及隐私和安全管理方面的影响。

本研究采用定量方法, 收集了来自欧洲五个旅游行业（住宿、相关产业、娱乐、餐饮、交通）的135位行业从业者的数据, 旨在了解他们对区块链技术在业务运营中的实施所带来的好处和挑战的不同看法。

结果表明, 关于区块链技术应用的看法存在分歧。虽然对BCT提升客户体验和服务质量的潜力持有正面看法, 但对其在信任和安全方面的影响仍存在重大担忧。客户和服务提供商在BCT的可信度方面达成了一致意见, 但在隐私和安全增强的看法上存在显著差异。

本研究为现有文献提供了关于旅游和酒店行业服务提供商与客户对区块链技术看法的见解, 强调了采用新技术的复杂性, 并呼吁进行更深入的研究以解决所发现的问题, 从而为分布式账本技术在提升客户体验和服务交付中的应用提供了新的视角。

This exploratory study aims to integrate both quantitative and qualitative methods to examine the influence of contemporary university dining attributes and practices on student patronage.

First, a review of the extant literature on-campus dining in universities was conducted. Second, innovative practices of on-campus dining facilities of a large public university were identified. Finally, student perceptions of those practices were examined using a mixed method approach.

The review of literature uncovered 49 articles across 35 years on key topics such as food waste, healthy eating, and service evaluation. From site tours and interviews with related personnel, 40 innovative on-campus dining practices were identified.

Importance ratings revealed cleanliness of the environment, fresh fruit and vegetables, and digitally enabled ordering, as the top three highest rated practices. Factor analysis unveiled six factors that students find important: food diversity, good standards, innovativeness, quick options, menu variety, and fish and seafood. The thematic analysis further revealed four overarching themes (convenience, familiarity, food offerings, and value) and 13 subthemes which complemented the quantitative results.

In addition to shedding post-pandemic light on students’ dining needs, it highlights the paucity of theory used to support extant studies and suggests a novel theoretical underpinning.

This theme issue aims to explore the depth and breadth of automation and artificial intelligence’s (AI’s) impact on the hospitality and tourism industry.

The thematic examination of the articles presented in this theme issue highlights the central results concerning the strategic inquiry, especially regarding their addition to knowledge, which is vital for fostering idea creation and theoretical research beneficial to various stakeholders in the tourism and hospitality sector. Given the swift evolution of these technologies, grasping their utilization, advantages and obstacles is essential for industry experts, decision-makers and scholars.

This theme issue encapsulates the transformative impact of automation and AI in the tourism and hospitality industry, highlighting the juxtaposition of enhanced operational efficiency against employment security concerns. It emphasizes the need for ethical governance to address AI’s ethical dilemmas and security vulnerabilities. The exploration of consumer attitudes towards AI, particularly in service robots and facial emotion recognition technologies, is deemed crucial for leveraging AI’s full potential in service delivery. Furthermore, AI’s entry into gastronomy prompts a reevaluation of traditional culinary practices, advocating for a balance between technological innovation and the preservation of cultural heritage.

This theme issue stands out for its focused exploration of the transformative effects of automation and AI within the hospitality and tourism industry. Unlike broader discussions on technology in business, it delves into specific AI-driven innovations, operational changes and the resultant shifts in consumer behavior and industry standards. By curating a collection of empirical research, theoretical analyses and content analyses, this issue is providing important insights into how automation and AI are reshaping service delivery, management practices and strategic decision-making in an industry characterized by its intense customer focus and reliance on human-to-human interaction.

This study aims to examine the interrelationships between social media marketing activities, self-brand connections, brand equity, trust and loyalty.

A total of 402 valid responses were collected from Amazon MTurk, and the data were subjected to partial least squares structural equation modeling and fuzzy-set qualitative comparative analysis (fsQCA).

Findings indicate that social media marketing activities strongly and positively influence self-brand connection, brand equity and brand trust. Moreover, brand loyalty was strongly and positively influenced by self-brand connection, brand equity and brand trust. Moreover, the findings from fsQCA indicate that three causal paths lead to a high level of brand loyalty, and one causal path determines a low level of brand loyalty.

This research extends current knowledge by bridging the literature between social media marketing activities and branding using self-brand connections. Additionally, this study uses the strength of two complimentary methods – symmetrical and asymmetrical modeling – to uncover how social media marketing activities bridge customer-brand relationships.

Este estudio examina las interrelaciones entre las actividades de marketing en redes sociales, las conexiones de marca propia, el valor de la marca, la confianza y la lealtad.

Se recopilaron 402 respuestas válidas de Amazon MTurk, y los datos fueron sometidos a PLS-SEM y análisis cualitativo comparativo con conjuntos difusos (fsQCA).

Los resultados indican que las actividades de marketing en redes sociales influyen fuertemente y de manera positiva en la conexión de marca propia, el valor de la marca y la confianza en la marca. Además, la lealtad a la marca es influenciada fuerte y positivamente por la conexión de marca propia, el valor de la marca y la confianza en la marca. Además, los resultados de fsQCA indican que tres vías causales conducen a un alto nivel de lealtad a la marca, y una determina un bajo nivel de lealtad a la marca.

Esta investigación amplía el conocimiento actual al vincular la literatura entre las actividades de marketing en redes sociales y el branding utilizando conexiones de marca propia. Además, este estudio utiliza dos métodos complementarios – modelado simétrico y asimétrico – para descubrir cómo las actividades de marketing en redes sociales construyen las relaciones entre cliente y marca.

本研究探讨社交媒体营销活动、自我品牌连接、品牌资产、信任和忠诚度之间的相互关系。

从亚马逊MTurk收集了402个有效回复, 并对数据进行了PLS-SEM和模糊集合质性比较分析 (fsQCA) 的处理。

研究发现, 社交媒体营销活动对自我品牌连接、品牌资产和品牌信任产生了强烈而积极的影响。此外, 自我品牌连接、品牌资产和品牌信任也对品牌忠诚度产生了强烈而积极的影响。fsQCA的结果显示, 导致高水平品牌忠诚度的有三条因果路径, 而导致低水平品牌忠诚度的有一条因果路径。

本研究通过构建社交媒体营销活动与品牌之间的桥梁, 利用自我品牌连接, 扩展了当前知识。此外, 利用对称和非对称建模两种互补方法的优势, 揭示了社交媒体营销活动如何建立客户品牌关系。

Extended research efforts have been dedicated to understanding how different aspects of online surveys impact the response rate and quality of collected data. With the hope to yield higher response rates, leading survey software solutions (e.g., SurveyMonkey, Qualtrics, QuestionPro) introduced a new technique of embedding a question from an online survey into invitation emails sent to the respondents. The purpose of this chapter is to examine the impact of embedded questions on survey response rate and quality. The results of two experimental studies show that respondents are more likely to respond to a survey with an embedded question compared to an email without one. No statistically significant differences were discovered regarding data quality that was assessed via survey completion rate, respondent bias, and attention check questions. The chapter provides suggestions and guidelines for increasing online surveys' response rate and quality.

This first chapter provides an overview of all the chapters included in this book. This book focuses on contemporary research methods in hospitality and tourism. Revisiting the traditional research methods is necessary for academia and practitioners in the hospitality and tourism field. New understandings and interpretations of traditional research paradigms such as positivism and interpretivism as well as more recent paradigms such as realism and pragmatism in the context of hospitality and tourism are vital to strengthen the research practices. We hope that the edited book can help researchers and practitioners in our field in their research journeys and applications.