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Riverston, Sri Lanka, is famous for its natural and cultural significance. The tourism industry is emerging there and expanding with more community engagement. Riverston being a community-based tourism site, this study aimed at discovering the perception of the Riverston community on tourism development further focusing on the market opportunities, challenges, and strategies for the way forward. Data were collected from the Riverston area community who engage in tourism through in-depth interviews with semi-structured questions, and the sample was selected based on the purposive sampling technique. Data were analyzed through content analysis. The findings disclosed that challenging the authentic culture, traditional livelihood shifting toward tourism, lack of awareness and knowledge of the tourism industry among the community, the impact of legal restrictions on the community, and lack of education are the sociocultural challenges for the community on tourism development. The Riverston area is getting developed in terms of infrastructure with tourism development, and that benefits the living conditions of the community. Further, results indicated forest conversation policies had impacted the community’s living in high magnitude. It persuades people to move away from agriculture to the tourism sector. In addition, the timely need for a well-planned sustainable tourism approach and awareness from ground-level tourism practitioners was underscored by the data set.

Given the unique nature of business events tourism, this paper evaluates the forecasting performance of various models using search query data (SQD) to forecast convention attendance.

This research uses monthly and quarterly business event attendance data from both the U.S. (Las Vegas) and China (Macau) markets. Using SQD as the input, we evaluated and compared the cutting-edge forecasting models including Prophet and Long Short-Term Memory (LSTM).

The study reveals that Prophet outperforms complex neural network models in forecasting business event tourism demand. Keywords related to convention facilities, conventions or exhibitions, and transportation are proven to be useful in forecasting business travel demand.

Prophet is an accessible forecasting model for event-tourism practitioners, especially useful in the volatile business event tourism sector. Using verified search keywords in models helps understand traveler motivations and aids event planning.

Our study is among the first to empirically evaluate the performance of forecasting models for business travel demand. In comparison with other mainstream forecasting models, our study extends the scope to examine both the U.S. and Chinese markets.

As exponential technologies continue to transform business models rapidly, there is a growing focus on metaverse research within the tourism industry. Despite the significant findings, the practical discussion of high-cost and resource-demanding space tourism within the metaverse platform is still abstract. This study aims to provide a comprehensive understanding of virtual space tourism and consumer motivations inspired by the intrinsic principles of the sharing economy business model and the metaverse platforms.

By gathering primary data through questionnaires from individuals interested in virtual space tourism and using the 530 valid responses, this study uses the unified theory of acceptance and use of technology 2 (UTAUT2) along with the status quo bias theory (SQB) to better comprehend travelers’ motivations for engaging with the metaverse in space tourism.

The study confirms UTAUT2’s effectiveness in predicting travelers’ adoption behavior. Specifically, factors such as performance expectancy, effort expectancy, social influence, hedonic motivation, price value and facilitating conditions significantly impact attitudes and behavioral intentions toward adopting the metaverse for space tourism. Furthermore, skepticism significantly moderates the relationship between attitudes and behavioral intentions.

This study is one of the first to empirically explore the motivations for using metaverse capabilities in the context of space tourism. In line with recent calls for more research on advancing UN sustainable development goals through the metaverse platform, this research discusses findings based on eight shared attributes in both sharing economies and the metaverse platforms that offer the potential for sustainable, socialized and affordable access to space tourism. In addition to the managerial implications, this study outlines future research directions, drawing on insights from the sharing economy’s success in the tourism industry.

This study aims to identify the attitudes of Chinese residents towards tourists and tourism development. Based on periods of observation, temporary residency and several visits for more than a decade, and supplemented by data collected from 478 residents, the study examines to what extent the rural villagers identify the tourism induced changes as being an outcome of official Chinese policies. The villages, Xidi, Hongcun and Nanping, are three heritage villages in Anhui Province and represent appropriate case studies for such an examination due to their differing histories of tourism administrative procedures. Findings contribute to scholarly knowledge by putting pro-poor tourism and community participation under scrutiny in Chinese context. A change of residents’ perceptions towards tourism could potentially be consequential for tourists’ experience and the sustainability of tourism development, particularly in emerging rural destinations.

This study aims to cross-validate the technology experience (TE) scale and examine the potential differences in consumer TE across three different sectors.

Across three separate studies, the TE scale and its psychometric properties and consequences were examined across three distinctive hospitality and tourism (H&T) sectors: accommodations (n = 640), food and beverage (n = 615) and tourism (n = 592).

The findings consistently show that TE is a second-order formative construct with nine dimensions. Furthermore, the factor structure of consumer TE is consistent across the focal sectors, enhancing the TE scale’s generalizability. While the dimensions consisting of TE were identical across the three sectors, the composites of TE were formed differently across the sectors, demonstrating the differences in consumers’ TE across the three sectors.

This research offers practical implications to the H&T industry regarding the different impacts of various TE dimensions on consumers’ overall experiences, thereby creating overall satisfaction and behavioral intentions.

To the best of the authors’ knowledge, this research was the first attempt to examine the differences in consumers’ TE across the sectors of the H&T industry. By identifying the different impacts of TE dimensions on consumers’ overall experience, this research provides theoretical and practical contributions by confirming the distinct characteristics of the sectors under the H&T industry.

This research paper aims to conceptually explain the dark side of the metaverse from customers’ perspective in the hospitality and tourism industry.

A comprehensive analysis of the existing academic and practice-based literature on the metaverse, including its related concepts such as social media and e-commerce, was undertaken to conceptualise the metaverse dark side.

This research posits a theoretical framework highlighting five pivotal dark sides of the metaverse that is physiological, psychological, legal, security and privacy and societal issues. Each identified concern is examined to unveil various potential consequences, providing a comprehensive understanding of the challenges posed by the metaverse for customers in tourism and hospitality.

To the best of the authors’ knowledge, this study stands out as the first of its kind to illuminate the adverse aspects of the metaverse from the viewpoint of tourism and hospitality customers. The arguments offered herein not only serve to raise awareness but also facilitate understanding of the darkverse among policymakers, government and metaverse business organisations. This awareness is crucial for the efficient and effective implementation of this novel innovative technology to enhance the customer experience in tourism and hospitality.

The purpose of this study is to examine the relationships between tourists’ motivations, perception of tourism impacts, place attachment (PA) and loyalty toward Jallianwala Bagh, a dark heritage site in Punjab, India.

A mixed-method approach comprising qualitative and quantitative methods was used. Semi-structured interviews and the Delphi method helped generate a 34-item survey instrument. A sample size of 869 respondents was obtained, split into two subsets for exploratory factor analysis and confirmatory factor analysis.

Seven out of nine hypotheses were supported. Motivated tourists perceived higher positive tourism impacts but lower negative tourism impacts. Higher perceptions of positive tourism impacts increased both PA and loyalty to the destination. Surprisingly, the perception of negative tourism impacts did not significantly affect tourist loyalty, contrary to some previous research.

This study informs stakeholders about tourists’ cognitive and affective responses at a dark tourism site, aiding in the planning and development of sustainable tourism strategies.

By understanding the tourists’ motivations and perceptions, stakeholders can manage tourism impacts more effectively, ensuring that tourists’ experiences align with sustainable practices.

This study enriches the understanding of the tourists’ complex interactions with dark heritage sites. It introduces a new angle by examining how motivations, PA and perceptions of tourism impacts influence tourist loyalty, especially in the context of dark tourism.

This paper aims to understand tourist behavior in Indian rural tourism by integrating the stimuli-organism-response (SOR) framework, service quality model (SERVQUAL) model and theory of planned behavior. It investigates the role of positive tourist-host interactions, destination image, trust and attitude in shaping pro-tourism intentions. Additionally, it explores the moderating effect of Indian traditionality on these relationships.

This study uses a mixed-methods approach, combining qualitative data from 15 respondents with quantitative analysis involving 580 tourists engaged in Indian rural tourism. Confirmatory factor analysis and structural equation modeling are used to examine relationships among tourist-host interactions, destination image, trust, attitude and pro-tourism intentions.

The study reveals that positive interactions and a positive destination image play crucial roles in building trust and shaping favorable attitudes toward rural tourism. Trust and attitude, in turn, significantly drive pro-tourism intentions. Furthermore, tourist attitude partially mediates the relationship between trust and intentions. The study introduces the novel concept of Indian traditionality as a moderator, highlighting its impact on trust, attitude and pro-tourism intentions.

Limitations include the focus on Indian rural tourism, which may limit generalizability, and potential response bias due to self-reported data. Future research could explore other cultural contexts and use diverse data collection methods.

This research offers practical insights for policymakers and stakeholders, emphasizing the importance of fostering positive tourist–host interactions and cultivating a positive destination image to enhance the overall tourist experience and promote sustainable rural tourism practices.

This study’s innovation lies in harmonizing theoretical frameworks to shed light on Indian rural tourism’s multifaceted aspects. It introduces Indian traditionality as a cultural moderator, enriching understanding of tourist behavior. The research contributes to academia and industry by guiding the development of sustainable tourism practices and improving the tourist experience.

本研究旨在通过整合 SOR 框架、SERVQUAL 模型和计划行为理论来理解印度乡村旅游中的游客行为。研究探讨了游客与东道主的积极互动、目的地形象、信任和态度在形成亲旅游意愿中的作用。此外, 本文还探讨了印度传统对这些关系的调节作用。

本研究采用混合方法, 将 15 名受访者的定性数据与 580 名参与印度乡村旅游的游客的定量分析相结合。研究采用了确证因子分析（CFA）和结构方程模型（SEM）来考察游客-接待方互动、目的地形象、信任、态度和亲旅游意愿之间的关系。

研究表明, 积极的互动和正面的目的地形象在建立信任和形成对乡村旅游的良好态度方面发挥着至关重要的作用。信任和态度反过来又会极大地推动亲旅游意愿。此外, 游客态度在一定程度上调节了信任与意愿之间的关系。研究引入了印度传统这一新颖的概念作为调节因素, 强调其对信任、态度和亲旅游意愿的影响。

研究的局限性包括：研究重点是印度乡村旅游, 这可能会限制研究的普遍性, 以及由于自我报告数据而可能产生的反应偏差。未来的研究可以探索其他文化背景, 并采用不同的数据收集方法。

这项研究为政策制定者和利益相关者提供了实用的见解, 强调了促进游客与东道主之间的积极互动以及培养积极的目的地形象对于提升整体游客体验和促进可持续乡村旅游实践的重要性。

本研究的创新之处在于协调理论框架, 揭示印度乡村旅游的多面性。它引入了印度传统作为文化调节因素, 丰富了我们对游客行为的理解。该研究通过指导可持续旅游实践的发展和改善游客体验, 为学术界和产业界做出了贡献。

Esta investigación pretende comprender el comportamiento del turista en el turismo rural de la India mediante la integración del marco SOR, el modelo SERVQUAL y la Teoría del Comportamiento Planificado. Investiga el papel de las interacciones positivas entre el turista y el anfitrión, la imagen del destino, la confianza y la actitud en la formación de las intenciones proturismo. Además, explora el efecto moderador de la tradicionalidad india en estas relaciones.

Este estudio emplea un enfoque metodológico mixto, combinando datos cualitativos de 15 encuestados con un análisis cuantitativo en el que participan 580 turistas en el ámbito del turismo rural en India. Se utilizan el análisis factorial confirmatorio (AFC) y el modelo de ecuaciones estructurales (SEM) para examinar las relaciones entre las interacciones turista-anfitrión, la imagen del destino, la confianza, la actitud y las intenciones a favor del turismo.

El estudio revela que las interacciones positivas y una imagen favorable del destino desempeñan un papel crucial en la creación de confianza y en la formación de actitudes positivas hacia el turismo rural. La confianza y la actitud, a su vez, impulsan significativamente las intenciones proturismo. Además, la actitud del turista es un mediador parcial en la relación entre confianza e intenciones. El estudio introduce el novedoso concepto de tradicionalidad India como moderador, destacando su impacto en la confianza, la actitud y las intenciones proturismo.

Las limitaciones incluyen el hecho de centrarse en el turismo rural en India, lo que puede limitar que sea generalizado, y el posible sesgo de respuesta debido a los datos auto declarados. Futuras investigaciones podrían explorar otros contextos culturales y emplear diversos métodos de recogida de datos.

Esta investigación ofrece ideas prácticas para los responsables políticos y las partes interesadas, haciendo hincapié en la importancia de fomentar las interacciones positivas entre el turista y el anfitrión y cultivar una imagen positiva del destino para mejorar la experiencia turística en general y promover prácticas sostenibles de turismo rural.

La innovación de este estudio radica en la armonización de los marcos teóricos para arrojar luz sobre los aspectos polifacéticos del turismo rural en India. Introduce la tradicionalidad India como moderador cultural, enriqueciendo nuestra comprensión del comportamiento turístico. La investigación contribuye al mundo académico y a la industria orientando el desarrollo de prácticas turísticas sostenibles y mejorando la experiencia del turista.