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Traditional payment systems based on cash and bank cards are being replaced by new innovative formats. This research analyzes the success factors in the adoption by customers of Bizum, a peer-to-peer (P2P) mobile payment system widely used in Spain. This study proposes a theoretical framework based on the Stimulus–Organism–Response (S-O-R) model and includes the analysis of the moderating effect of perceived risk and the mediating effect of perceived trust.

To achieve the proposed objectives, an online questionnaire was administered to 701 Spanish smartphone users, potential users of the proposed P2P payment systems.

The results show that perceived usefulness is the most important predictor of intention to use. Additionally, a medium predictive relevance performance of the proposed model is found.

This research contributes to a more holistic understanding of the adoption of P2P payment systems and provides new business opportunities that companies can exploit through the use of this technology.

以現金和銀行卡為基礎的傳統支付系統、正被嶄新而又富創意的模式取代。本研究擬分析驅使消費者使用Bizum的成功因素 (Bizum 是一個在西班牙得到廣泛使用的P2P移動支付系統) 。本研究以刺激-有機體-反應模型為基礎, 建議了一個概念框架;研究亦擬分析感知風險的調節作用, 以及感知信任的中介效應。

為達研究目標, 研究人員處理了701名西班牙智慧型手機使用者回答的網上問卷, 這些使用者是本研究提出的P2P支付系統的潛在用戶。

研究結果顯示、感知有用性是消費者會否使用P2P支付系統最重要的預測因素。研究結果亦顯示、本研究建議的概念框架的預測能力水平屬中等。

本研究使我們對驅使消費者使用P2P支付系統的因素更全面地了解;研究也使企業可透過使用這技術, 為自己創造新的商機。

The primary objective of this study is to ascertain how Metaverse technologies, primarily virtual reality (VR) and augmented reality (AR), redefine tourism experiences. It aims to delve into the capabilities of these technologies in eliminating conventional physical and economic barriers and enabling virtual exploration of destinations. Additionally, this study seeks to understand how tourism enterprises can leverage Metaverse technologies for operational efficiency and enhance customer satisfaction.

This research uses a two-pronged methodological approach, incorporating bibliometric analysis techniques and a systematic literature review. Bibliometric analysis provides a quantitative assessment of existing literature, identifying key trends, authors and publications in the domain of Metaverse tourism. Concurrently, this systematic literature review qualitatively evaluates the content and context of these studies, focussing on the applications of VR and AR in tourism as well as the managerial and consumer implications therein.

The findings reveal a significant uptick in literature production in the Metaverse tourism domain post-2018, indicating a burgeoning interest in this field. Metaverse facilitates a unique blend of engaging and personalised tourism experiences from the comfort of one’s home. Moreover, tourism enterprises stand to gain from streamlined booking processes and to improve operational efficiency, which in turn augments customer satisfaction.

This research is confined to the analysis of the existing literature and does not involve primary data collection, which could limit the comprehensiveness of the insights. Moreover, the nascent stage of Metaverse technology in tourism presents a challenge in deriving conclusive implications. This study underscores the need for further empirical research to validate the theoretical frameworks discussed and explore the long-term implications of Metaverse technologies in the tourism sector.

Metaverse opens avenues for tourism enterprises to enhance their customer engagement and operational efficiency. It offers a novel platform for immersive and personalised travel experiences, thereby potentially increasing the market reach and customer satisfaction. The streamlined processes facilitated by Metaverse could also lead to cost reduction and increased profitability for tourism enterprises.

The integration of Metaverse technologies could democratise travel experiences, allowing individuals who might be economically or physically constrained to virtually explore global destinations. However, it also raises concerns regarding the digital divide and potential loss of authentic human interactions and cultural exchanges that traditionally characterise tourism.

This study is among the pioneering efforts to quantitatively and qualitatively analyse the burgeoning field of metaverse tourism. By amalgamating bibliometric analysis with a systematic literature review, it unveils the potential of Metaverse technologies in transcending conventional tourism paradigms, presenting a comprehensive understanding of the practical, managerial and consumer-centric implications therein.

本研究采用了双管齐下的方法, 既有文献计量分析技术, 又有系统的文献综述。文献计量分析对现有文献进行定量评估, 确定元旅游领域的主要趋势、作者和出版物。同时, 系统性文献综述对这些作品的内容和背景进行了定性评估, 重点关注虚拟现实（VR）和增强现实（AR）在旅游业中的应用以及对管理和消费者的影响。

本研究的主要目的是确定元宇宙技术（主要是 VR 和 AR）如何重新定义旅游体验。研究旨在深入探讨这些技术在消除传统物理和经济障碍以及实现目的地虚拟探索方面的能力。此外, 本研究还试图了解旅游企业如何利用元数据技术提高运营效率和客户满意度。

研究结果表明, 2018 年后, Metaverse 旅游领域的文献产量大幅上升, 表明人们对这一领域的兴趣日益浓厚。Metaverse 可以让人们在家中就能享受到独特的个性化旅游体验。此外, 旅游企业可从简化预订流程和提高运营效率中获益, 进而提高客户满意度。

本研究仅限于对现有文献的分析, 不涉及原始数据收集, 这可能会限制研究见解的全面性。此外, Metaverse 技术在旅游业中的应用尚处于起步阶段, 这对得出结论性影响提出了挑战。本研究强调有必要开展进一步的实证研究, 以验证所讨论的理论框架, 并探索元数据技术在旅游业中的长期影响。

Metaverse 为旅游企业提高客户参与度和运营效率开辟了道路。它为身临其境的个性化旅游体验提供了一个新颖的平台, 从而有可能提高市场覆盖率和客户满意度。Metaverse 推动的简化流程还可降低旅游企业的成本, 提高其盈利能力。

Metaverse 技术的整合可以使旅游体验平民化, 让经济或身体条件有限的人也能以虚拟方式探索全球旅游目的地。然而, 它也引发了人们对数字鸿沟的担忧, 以及对传统旅游业所特有的真实人际互动和文化交流的潜在损失的担忧。

本研究是定量和定性分析新兴的 Metaverse 旅游领域的开创性研究之一。通过将文献计量学分析与系统的文献综述相结合, 本研究揭示了元数据技术在超越传统旅游范式方面的潜力, 并对其中的实用、管理和以消费者为中心的含义提出了全面的理解。

Esta investigación utiliza un enfoque metodológico doble, que incorpora técnicas de análisis bibliométrico y una revisión sistemática de la literatura. El análisis bibliométrico proporciona una evaluación cuantitativa de la literatura existente, identificando tendencias, autores y publicaciones clave en el ámbito del turismo en el Metaverso. Al mismo tiempo, la revisión sistemática de la literatura evalúa cualitativamente el contenido y el contexto de estos trabajos, centrándose en las aplicaciones de la Realidad Virtual (RV) y la Realidad Aumentada (RA) en el turismo, así como en sus implicaciones para la gestión y el consumidor.

El objetivo principal de este estudio es determinar cómo las tecnologías asociadas al Metaverso, principalmente la RV y la RA, redefinen las experiencias turísticas. Pretende profundizar en las capacidades de estas tecnologías para eliminar las barreras físicas y económicas convencionales y permitir la exploración virtual de los destinos. Además, este estudio pretende entender cómo las empresas turísticas pueden aprovechar las tecnologías relacionadas con el Metaverso para mejorar la eficiencia operativa y la satisfacción del cliente.

Los resultados revelan un aumento significativo en la producción de literatura en el ámbito del turismo en el Metaverso desde el año 2018, lo que indica un creciente interés en este campo. El Metaverso facilita una combinación única de experiencias turísticas atractivas y personalizadas desde la comodidad del hogar. Además, las empresas turísticas se benefician de la agilización de los procesos de reserva y la mejora de la eficiencia operativa, lo que a su vez aumenta la satisfacción del cliente.

La investigación se limita al análisis de la bibliografía existente y no incluye la recopilación de datos primarios, lo que podría limitar la exhaustividad de las conclusiones. Además, el estado incipiente de la tecnología relacionada con el Metaverso en el turismo supone un reto a la hora de extraer implicaciones concluyentes. Este estudio subraya la necesidad de realizar más estudios empíricos para validar los marcos teóricos discutidos y explorar las implicaciones a largo plazo de estas tecnologías en el sector turístico.

El Metaverso abre vías para que las empresas turísticas mejoren su compromiso con el cliente y su eficiencia operativa. Ofrece una plataforma novedosa para experiencias de viaje inmersivas y personalizadas, con lo que aumenta potencialmente el alcance del mercado y la satisfacción del cliente. La racionalización de los procesos facilitados por el Metaverso también podría conducir a la reducción de costes y al aumento de la rentabilidad de las empresas turísticas.

La integración de las tecnologías relacionadas con el Metaverso podría democratizar las experiencias de viaje, permitiendo a personas con limitaciones económicas o físicas explorar virtualmente destinos globales. Sin embargo, también suscita preocupación en relación con la brecha digital y la posible pérdida de interacciones humanas auténticas e intercambios culturales que tradicionalmente caracterizan al turismo.

Este estudio es uno de los pioneros en analizar cuantitativa y cualitativamente el creciente campo del turismo en el Metaverso. Amalgamando el análisis bibliométrico con una revisión sistemática de la literatura, desvela el potencial de las tecnologías relacionadas con el Metaverso para sacar a la luz los paradigmas turísticos convencionales, presentando una comprensión exhaustiva de sus implicaciones prácticas, de gestión y centradas en el consumidor.

This study proposes a hierarchic segmentation that develops a tree-based classification model and classifies the cases into groups. This allows for the definition of e-commerce user profiles for each of the groups. Additionally, it facilitates the development of actions to improve the adoption of the online channel that is in such high demand in the current pandemic COVID-19 context.

Regarding the created segments, two extreme segments stand out due to their marked differences and high volume. Segment 3 with 23% of the sample is the group with the most predisposition to use the online channel and is characterised by a high level of trust, more habitual use in comparison with other groups and the belief that its use implies high performance, which indicates they believe it to be useful, quick and helpful for more an effective shopping experience. The other extreme is found in segment 7. This group makes up 17.7% of the total and is the most reluctant to use the online channel. These users are characterised by the complete opposite: they have a low level of trust in this channel. However, the effort expectancy is low, i.e. they consider that the adoption of the online channel does not involve many difficulties in its learning and use. Nevertheless, they use it less regularly than the others.

Based on the conclusions reached in this study, in the current pandemic context in which consumer demand for online shopping channels for all types of products is on the rise, it is recommended that companies focus on the following aspects. It is essential to build trust with the user and show them the real benefits of e-commerce, how it would improve their life and why they should use it. Additionally, it is vital that the user perceives it as an easy procedure that does not require a significant learning curve. Other fundamental aspects would be to reduce any uncertainty the user might have about the online shopping process, to make it as easy as possible, and to design a simple, intuitive and user-friendly interface. It is also recommendable to manage data usage efficiently. To do so, the authors recommend asking the user for the least amount of information possible, offering a data protection policy and assuring them that their information will not be misused nor shared with third parties. All of this provides a series of facilities to modify the online shopping habits of users.

As in most of the research, this study presents a series of limitations that should be debated and that could open future lines of investigation. Firstly, regarding the sample used that was limited to two neighbouring countries with similar profiles a priori; it would be necessary to compare their possible cultural differences according to Hofstede's dimensions as well as increase the number of European countries being analysed to reach a more generalised conclusions. Secondly, the variables used are a combination of those derived from the UTAUT2 model and others suggested in the literature as decisive in technology adoption by users, in this sense other theories and variables could be incorporated to complete a more holistic model.

This work contributes in a general way to (1) analysing the intention to use e-commerce platforms from a set of antecedents previously defined by their importance, after a period of economic and social restrictions derived from the pandemic; (2) determination of customer segments from the classification made by the CHAID analysis; (3) characterisation of the previously defined segments through the successive divisions that were proposed in the analysis carried out.

Other fundamental aspects would be to reduce any uncertainty the user might have about the online shopping process to make it as easy as possible, and to design a simple, intuitive, and user-friendly interface. It is also recommended to manage data usage efficiently. To do so, the authors recommend asking the user for the least amount of information possible, offering a data protection policy, and assuring them that their information will not be misused or shared with third parties.

The results obtained have allowed us to establish predictive and explanatory models of the behaviour of the segments and profiles created, which will help companies to improve their relationships with online customers in the coming years.

本研究擬提出一個會發展基於樹的分類模型、以及會把案例歸入不同的類別的層次細分。這讓我們能為每個類別考慮到電子商務用戶輪廓的定義和解釋；這亦促進我們優化採用在線渠道的發展工作,而在線渠道於現時2019冠狀病毒病肆虐的情況下,實在供不應求。

就創設的細分而言,兩個極端的細分因其明顯的差別和大批量而顯得突出。佔樣本百分之二十三的細分3是擁有最大使用在線渠道傾向的細分,而細分3的特徵包括他們對在線渠道呈高信任度,比其他類別更習慣地使用,以及其相信使用在線渠道會帶來更高的績效,這表示他們相信使用在線渠道是有效的,是快捷的,是可幫助帶來成功的購物體驗的。另外的極端在細分7內發現。這類別佔整體的百分之十七點七,而他們是最不願意使用在線渠道的類別。這類別的特徵和前述的剛剛相反：他們對在線渠道的信任程度是低的,唯其努力期望是低的,也就是說,他們認為使用在線渠道是不會涉及很多在學習上或在實際應用上的困難。即使是這樣,他們較其他人卻較少使用在線渠道。

基於研究的結論,我們的建議是：於目前大流行肆虐期間,消費者對於以在線渠道網購各類商品的需求不斷增加,企業應聚焦以下的範疇：企業必須建立消費者對電子商務的信心,並為他們展示電子商務的真正好處；企業也必須使消費者明瞭電子商務如何能改善其生活,以及他們為何要使用電子商務。更重要的是使消費者覺得使用電子商務是輕而易舉的,又不涉及陡峭的學習曲線。凡此種種,就成為消費者改變其網上購物習慣的動力和誘因。至於其他基本的考慮,包括減輕消費者對使用電子商務的不確定情緒,使電子商務易於使用,以及設計一個簡易的、憑直覺能知曉的、方便使用的介面。另外,值得推薦的是、數據使用情況須有效地管理。為此,我們建議應儘量向使用者索取最低限度的資料,為他們提供資料保護政策,保證他們的資料不會被濫用或與第三者分享。

與其他大多數的研究一樣,本研究展現了一系列值得辯論的局限,而這些局限或許會開展未來研究的領域。首先,考慮到使用了一個局限於兩個以因及果演繹而成的、概況相似的相鄰國家為樣本,我們或許需要根據霍夫斯泰德文化維度理論對這兩個國家進行比較,以瞭解它們的文化差異；另外,為求能達致可普遍適用的結論,我們也需把被分析的歐洲國家的數目增加。其次,被使用的變數是兩組變數的組合,他們是從UTAUT2模型中取得的變數,以及在有關的文獻裡,就技術採用而言、使用者認為是重要的變數。就此而言,若其他的理論和變數能被包含其中,則達致的模型將會是一個更為整體的模型。

本研究就一般而言有以下的貢獻：(一) 、 在因大流行病而引起的經濟和社會限制實施時期後,研究人員分析人們如何從一套過去被認定是電子商務平台的重要前身而選擇使用電子商務平台,本研究對這方面的分析作出了貢獻；(二) 、本研究幫助確定從透過CHAID分析而來的分類中得到的顧客細分；(三) 、本研究透過進行連續分解、幫助歸納過去被認定的細分的特徵。

企業必須建立消費者對電子商務的信心,並為他們展示電子商務的真正好處；企業也必須使消費者明瞭電子商務如何能改善其生活,以及他們為何要使用電子商務。更重要的是使消費者覺得使用電子商務是輕而易舉的,又不涉及陡峭的學習曲線。凡此種種,就成為消費者改變其網上購物習慣的動力和誘因。至於其他基本的考慮,包括減輕消費者對使用電子商務的不確定情緒,使電子商務易於使用,以及設計一個簡易的、憑直覺能知曉的、方便使用的介面。另外,值得推薦的是、數據使用情況須有效地管理。為此,我們建議應儘量向使用者索取最低限度的資料,為他們提供資料保護政策,保證他們的資料不會被濫用或與第三者分享。

本研究所得的結果,讓我們可以建立多個模型、以預測並解說有關的市場部分的行為和被創建的消費者簡介,這會幫助企業改善它們今後與網上顧客的關係。

The purpose of this study is to comprehend how AI aids marketers in engaging customers and generating value for the company by way of customer engagement (CE). CE is a popular area of research for scholars and practitioners. One area of research that could have far-reaching ramifications with regard to strengthening CE is artificial intelligence (AI). Consequently, it becomes extremely important to understand how AI is helping the marketer reach customers and create value for the firm via CE.

A detailed approach using both systematic review and bibliometric analysis was used. It involved identifying key research areas, the most influential authors, studies, journals, countries and organisations. Then, a comprehensive analysis of 50 papers was carried out in the four identified clusters through co-citation analysis. Furthermore, a content analysis of 42 articles for the past six years was also conducted.

Emerging themes explored through cluster analysis are CE concepts and value creation, social media strategies, big data innovation and significance of AI in tertiary industry. Identified themes for content analysis are CE conceptualisation, CE behaviour in social media, CE role in value co-creation and CE via AI.

CE has emerged as a topic of great interest for marketers in recent years. With the rapid growth of digital media and the spread of social media, firms are now embarking on new online strategies to promote CE (Javornik and Mandelli, 2012). In this review, the authors have thoroughly assessed multiple facets of prior research papers focused on the utilisation of AI in the context of CE. The existing research papers highlighted that AI-powered chatbots and virtual assistants offer real-time interaction capabilities, swiftly addressing inquiries, delivering assistance and navigating customers through their experiences (Cheng and Jiang, 2022; Naqvi et al., 2023). This rapid and responsive engagement serves to enrich the customer’s overall interaction with the business. Consequently, this research can contribute to a comprehensive knowledge of how AI is assisting marketers to reach customers and create value for the firm via CE. This study also sheds light on both the attitudinal and behavioural aspects of CE on social media. While existing CE literature highlights the motivating factors driving engagement, the study underscores the significance of behavioural engagement in enhancing firm performance. It emphasises the need for researchers to understand the intricate dynamics of engagement in the context of hedonic products compared to utilitarian ones (Wongkitrungrueng and Assarut, 2020). CEs on social media assist firms in using their customers as advocates and value co-creators (Prahalad and Ramaswamy, 2004; Sawhney et al., 2005). A few of the CE themes are conceptual in nature; hence, there is an opportunity for scholarly research in CE to examine the ways in which AI-driven platforms can effectively gather customer insights. As per the prior relationship marketing studies, it is evident that building relationships reduces customer uncertainty (Barari et al., 2020). Therefore, by using data analysis, businesses can extract valuable insights into customer preferences and behaviour, equipping them to engage with customers more effectively.

The rapid growth of social media has enabled individuals to articulate their thoughts, opinions and emotions related to a brand, which creates a large amount of data for VCC. Meanwhile, AI has emerged as a radical way of providing value content to users. It expands on a broader concept of how software and algorithms work like human beings. Data collected from customer interactions are a major prerequisite for efficiently using AI for enhancing CE. AI not only reduces error rates but, at the same time, helps human beings in decision-making during complex situations. Owing to built-in algorithms that analyse large amounts of data, companies can inspect areas that require improvement in real time. Time and resources can also be saved by automating tasks contingent on customer responses and insights. AI enables the analysis of customer data to create highly personalised experiences. It can also forecast customer behaviour and trends, helping businesses anticipate needs and preferences. This enables proactive CE strategies, such as targeted offers or timely outreach. Furthermore, AI tools can analyse customer feedback and sentiment across various channels. This feedback can be used to make necessary improvements and address concerns promptly, ultimately fostering stronger customer relationships. AI can facilitate seamless engagement across multiple digital channels, ensuring that customers can interact with a brand through their preferred means, be it social media, email, or chat. Consequently, this research proposes that practitioners and companies can use analysis performed by AI-enabled systems on CEB, which can assist companies in exploring the extent to which each product influences CE. Understanding the importance of these attributes would assist companies in developing more memorable CE features.

This study examines how prominent CE and AI are in academic research on social media by identifying research gaps and future developments. This research provides an overview of CE research and will assist academicians, regulators and policymakers in identifying the important topics that require investigation.

This study aims to explore and ranks the factors that might determine attitudes and intentions toward using autonomous vehicles (AVs).

The “technology acceptance model” (TAM) was extended by assessing the moderating influences of personal-related factors. Data were collected from 378 Vietnamese and analysed using a combination of “partial least squares” and the “adaptive neuro-fuzzy inference system” (ANFIS) technique.

The findings demonstrated the power of TAM in explaining the attitude and intention to use AVs. ANFIS enables ranking the importance of determinants and predicting the outcomes. Perceived ease of use and attitude were the most crucial drivers of attitude and intention to use AVs, respectively. Personal innovativeness negatively moderates the influence of perceived ease of use on attitude. Data privacy concerns moderate positively the impact of perceived usefulness on attitude. The moderating effect of price sensitivity was not supported.

These findings provide insights for policymakers and automobile companies' managers, designers and marketers on driving factors in making decisions to adopt AVs.

The study extends the AVs literature by illustrating the importance of personal-related factors, ranking the determinants of attitude and intention, illustrating the inter-relationships among AVs adoption factors and predicting individuals' attitudes and behaviours towards using AVs.

Consumers may enjoy the information sharing and social support made available when a social media platform is used for pre-purchase research; however, do consumers reevaluate the privacy and security of the platform differently when ordering and payment capabilities are added? As social media systems have evolved into social commerce platforms (SCPs), individuals are often faced with whether to complete a purchase they have been researching or switch to a traditional e-commerce platform to complete the transaction. This research examines consumer trust formation in the SCP channel and how consumer interest and engagement in the channel are maintained and influence consumer decisions to purchase via the SCP.

Based on trust and involvement literature, a research model was conceptualized to capture consumer beliefs about SCP privacy and security and whether the SCP can be trusted, using these inputs into subsequent consumer interest, engagement and decisions on whether to use the SCP for purchasing. The research model was empirically tested using the panel data's structural equation modeling (AMOS) (n = 405). The data showed acceptable reliability and convergent validity, while the original research model provides predictive validity and theory-confirming insights.

Results confirm that consumer perceptions of privacy and security play a crucial role as decision criteria, informing their judgments of whether a new social commerce channel can be trusted enough to conduct purchases. Further, consumer trust supports their interest in the SCP, resulting in enduring and enhanced behavioral use and, to a lesser extent, purchase intent. Still, a majority of this sample declined to purchase using the SCP and rather preferred to transact on tried and trusted traditional e-commerce sites.

This study is among the first to examine trust formation in new SCPs, where consumers are deciding to expand their engagement level from social and informational to commercial.

Social commerce (SC) is a new genre in electronic commerce (e-commerce) that has great potential. This study proposes a new research framework to address deficiencies in existing social commerce research frameworks (e.g. the information model).

In the era of Industrial Revolution 4.0 technologies and new social commerce (s-commerce) models, the authors believe that there is an immediate need for a new research framework. The authors analysed the progress of the s-commerce paradigm between 2003 and 2023 by applying longitudinal science mapping. The authors then developed a research framework based on the themes in the strategic diagrams and evolution map.

From 2003 to 2010, studies on s-commerce mainly focused on social networking sites, virtual communities, social shopping and analytic approaches. From 2011 to 2015, it shifted to s-commerce, consumer behaviour, Web 2.0, artificial intelligence, social technologies, online shopping, user studies, data gathering methods, applications, service-based social commerce constructs, e-commerce and cognitive factors. Social commerce remained the primary research paradigm from 2017 to 2023.

The SC framework may be analogous to popular research frameworks such as technology-organisation-environment (T-O-E) and stimulus-organism-response (S-O-R). Based on this SC framework, researchers may gain a better understanding by determining the factors of the social, commercial, technological and behavioural dimensions.

The authors redefined s-commerce and developed an SC framework. Practical guidelines for the SC framework and an exemplary research model are presented. Overall, this study offers a new research agenda for the extant understanding of s-commerce, with the SC framework as the next frontier of the theoretical advancements and applications of s-commerce.

Heritage tourism is an increasingly popular form of tourism that allows individuals to connect with the past and immerse themselves in cultural and historical narratives. Hence, the purpose of this study is to explore the intricate relationships among vicarious nostalgia (VNOS), memorable tourism experiences (MTEXs) and their collective influence on tourists’ behavioral intentions (BINTs). Additionally, this study examines the moderating effect of social return (SN) in the context of heritage tourism.

Data were gathered using a self-administered questionnaire from 259 tourists visiting heritage sites in Jaipur. The proposed model was tested using structural equation modeling.

The results confirmed that VNOS had a significant positive impact on BINT in the context of heritage tourism. The causal relationship between VNOS and BINT was fully mediated by MTEX. The results further verified that the presence of SN strengthens the association between MTEXs and BINT.

This research will guide the firms associated with heritage tourism to target specific cohorts interested in heritage tourism. Policymakers may find it easier to create unique offerings and packages that appeal to visitors interested in historical sites and produce memorable travel experiences. One key implication is to create “social media friendly spaces” at different locations of the sites. To increase tourism, managers may use the findings from this research to create plans for the ethical promotion and protection of cultural and natural heritage sites.

Overall, this research advances the understanding of the role of VNOS in heritage tourism by elucidating its cognitive and emotional aspects and their subsequent influence on the memorability of tourist experiences and BINT s. Additionally, by considering the moderating effect of SN, this study provides a comprehensive view of how these factors collectively shape tourists’ decisions and actions in the context of heritage destinations. This research has been conducted in the heritage city of Jaipur (North-Western India), which, surprisingly – despite its popularity as a heritage tourism site – has not been sufficiently explored in the scholarly research.

This study aims to identify the role of consumer characteristics in cultural consumption tendencies. Additionally, the study examines whether country differences and prior experience in the country affect consumers' cultural consumption tendencies.

The effects of cosmopolitanism, consumer ethnocentrism, individual innovativeness, and lifestyle on cultural consumption tendencies were tested. Moreover, we assess whether country type and prior experience are differentiating factors for cultural consumption tendencies. To this end, two countries – the USA and South Korea, representing Western and Eastern cultures, respectively – were selected to achieve comparable results in two different cultures. The research data were collected from 775 people using an online survey method and analyzed using path analysis and an independent samples t-test.

Consumer characteristics affect cultural consumption tendencies. These effects are culture-specific and cultural product-specific. Cosmopolitanism has a positive impact on cultural consumption tendencies, while consumer ethnocentrism has a negative impact. Individual innovativeness and lifestyle partially affected cultural consumption tendencies. Notably, these effects differ by country type. However, cultural consumption tendencies do not differ according to consumers' prior experience.

This study provides insightful information for e-retailers to be mindful of global consumer characteristics. Accordingly, cultural consumption patterns can be used as the basis for market segmentation. In addition, understanding global consumer characteristics and their cultural product- and culture-specific effects on consumption will help cultural industry players in their segmentation and targeting decisions.

Notwithstanding the rich body of literature on cultural consumption, this study provides consumer-level comparative empirical research from a marketing perspective. Essentially, the study is novel as it reveals the consumer characteristics that affect cultural consumption tendencies.