Search results

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 aims to examine how dynamic pricing impacts customer perceptions of restaurants and sentiment toward prices via online reputation metrics. In addition, to deepen the debate on dynamic pricing, a novel definition is drawn by exploring the specific forms of discrimination that can manifest in different industries.

Leveraging a comprehensive data set of restaurant reviews sourced from TripAdvisor, the study focuses on restaurants affiliated with one of the largest groups of restaurants in Spain. We used a quasi-experimental method (difference-in-differences), to study how dynamic pricing strategies influence customers’ perceptions of value based on numerical ratings. Meanwhile, we used a Bidirectional Encoder Representations from Transformers model on the textual component of reviews to dissect the emotional nuances of dynamic pricing.

Results did not reveal a causal impact of dynamic pricing strategies on customers’ perceptions. Moreover, the sentiment analysis shows no heightened negative view after introducing dynamic pricing in restaurants compared to the control group. Contrary to what previous literature suggests, our findings indicate that implementing dynamic pricing does not adversely affect customers’ perceptions or sentiments regarding prices in restaurants.

The quasi-experimental setting of the study presents inherent challenges in establishing causality that require further investigation using controlled experimental settings. Nevertheless, our study reveals that restaurant customers do not perceive dynamic pricing as unfair. This finding is critical for restaurant managers when considering the implementation of dynamic pricing and revenue management strategies. In addition, our study highlights the importance of considering not only numerical ratings but customer sentiment analysis as well. This more holistic approach to assessing the impact of pricing strategies can give restaurant managers a deeper understanding of customer reactions. In addition, a more rigorous definition of dynamic pricing is provided, clarifying its nature and its distinction in using different price discrimination.

This study contributes to the evolving understanding of dynamic pricing strategies’ impact on customers’ perceptions and sentiments in the restaurant industry. It aims to fill the gap in understanding customer reactions to algorithmically determined prices (via revenue management systems such as DynamEat) in this industry. The combination of causal inference and sentiment analysis offers a novel perspective, shedding light on the nuanced connections between dynamic pricing implementation and customers’ emotions.

本研究考察动态定价如何通过在线声誉指标影响顾客对餐厅的感知和对价格的情绪。此外, 为了深化对动态定价的讨论, 通过探索不同行业中可能表现出的具体歧视形式, 提出了一个新的定义。

利用从TripAdvisor获取的餐厅评论的全面数据集, 研究聚焦于与西班牙最大的餐厅集团之一相关联的餐厅。我们采用了准实验方法（差异中的差异）, 研究动态定价策略如何根据数值评分影响顾客对价值的感知。同时, 我们运用BERT模型对评论的文本成分进行分析, 以解析动态定价的情感细微差别。

结果没有揭示动态定价策略对顾客感知产生因果影响。此外, 情绪分析显示, 在餐厅引入动态定价后, 与对照组相比, 没有增加消极观点。与以往文献所述相反, 我们的发现表明, 实施动态定价并不会对顾客对价格的感知或情绪产生负面影响。

研究的准实验设置存在确立因果关系的固有挑战, 需要通过控制实验设置进一步调查。尽管如此, 我们的研究揭示了餐厅顾客不认为动态定价不公平。这一发现对餐厅经理在考虑实施动态定价和收入管理策略时至关重要。此外, 我们的研究强调, 考虑顾客情绪分析和数值评分的重要性。这种更全面的方法评估定价策略的影响, 可以让餐厅经理更深入地理解顾客反应。此外, 提供了一个更严格的动态定价定义, 澄清了其性质及其在使用不同价格歧视中的区别。

本研究对于理解动态定价策略对餐厅行业顾客感知和情绪影响的不断发展有所贡献。它旨在填补对客户对算法确定的价格（通过收入管理系统（RMS）例如DynamEat）在此行业中反应的理解空白。因果推断与情绪分析的结合提供了新的视角, 揭示了动态定价实施与顾客情绪之间微妙的联系。

Este estudio examina cómo la fijación dinámica de precios impacta en las percepciones de los clientes de los restaurantes y en el sentimiento hacia los precios a través de métricas de reputación en línea. Además, para profundizar en el debate sobre la fijación dinámica de precios, se propone una definición novedosa explorando las formas específicas de discriminación que pueden manifestarse en diferentes industrias.

Utilizando un conjunto de datos exhaustivo de reseñas de restaurantes obtenidas de TripAdvisor, el estudio se centra en los restaurantes afiliados a uno de los mayores grupos de restaurantes en España. Empleamos un método cuasiexperimental (diferencias en diferencias) para estudiar cómo las estrategias de precios dinámicos influyen en las percepciones de valor de los clientes basándonos en las calificaciones numéricas. Mientras tanto, empleamos un modelo BERT en el componente textual de las reseñas para desentrañar los matices emocionales de la fijación dinámica de precios.

Los resultados no revelaron un impacto causal de las estrategias de precios dinámicos en las percepciones de los clientes. Además, el análisis de sentimiento no muestra una visión negativa aumentada después de introducir la fijación dinámica de precios en los restaurantes en comparación con el grupo de control. Contrariamente a lo que sugiere la literatura previa, nuestros hallazgos indican que la implementación de precios dinámicos no afecta negativamente las percepciones o los sentimientos de los clientes respecto a los precios en los restaurantes.

La configuración cuasiexperimental del estudio presenta desafíos inherentes para establecer la causalidad que requieren una investigación más profunda utilizando entornos experimentales controlados. Sin embargo, nuestro estudio revela que los clientes de restaurantes no perciben la fijación de precios dinámica como injusta. Este hallazgo es crítico para los gerentes de restaurantes al considerar la implementación de la fijación de precios dinámica y estrategias de gestión de ingresos. Además, nuestro estudio resalta la importancia de considerar no solo las calificaciones numéricas sino también el análisis del sentimiento del cliente. Este enfoque más holístico para evaluar el impacto de las estrategias de precios puede dar a los gerentes de restaurantes una comprensión más profunda de las reacciones de los clientes. Además, se proporciona una definición de fijación de precios dinámica más rigurosa, aclarando su naturaleza y su distinción en el uso de diferentes discriminaciones de precios.

Este estudio contribuye a la comprensión en evolución del impacto de las estrategias de fijación de precios dinámicos en las percepciones y sentimientos de los clientes en la industria restaurantera. Su objetivo es llenar el vacío en la comprensión de las reacciones de los clientes a los precios determinados algorítmicamente (a través de sistemas de gestión de ingresos (RMS) como DynamEat) en esta industria. La combinación de inferencia causal y análisis de sentimientos ofrece una perspectiva novedosa, arrojando luz sobre las conexiones matizadas entre la implementación de la fijación de precios dinámicos y las emociones de los clientes.

The purpose of this study is to make property price forecasts for the Chinese housing market that has grown rapidly in the last 10 years, which is an important concern for both government and investors.

This study examines Gaussian process regressions with different kernels and basis functions for monthly pre-owned housing price index estimates for ten major Chinese cities from March 2012 to May 2020. The authors do this by using Bayesian optimizations and cross-validation.

The ten price indices from June 2019 to May 2020 are accurately predicted out-of-sample by the established models, which have relative root mean square errors ranging from 0.0458% to 0.3035% and correlation coefficients ranging from 93.9160% to 99.9653%.

The results might be applied separately or in conjunction with other forecasts to develop hypotheses regarding the patterns in the pre-owned residential real estate price index and conduct further policy research.

This paper aims to explore the hierarchy of motivations behind Chinese young wine consumers’ wine-purchasing behavior.

This study used a random and snowball sampling technique to collect data from Chinese young wine consumers. Ultimately, 840 participants were included, representing diverse geographic regions across China. The gathered data was analyzed to explore wine customer behavior using SPSS and AMOS.

The hierarchical structure of motivations guiding young consumers’ wine consumption becomes apparent when analyzed across ascending levels: from considerations of health benefits and emotional assessments to social interactions and status symbols. These factors wield significant influence over the purchase of wines among Chinese young wine consumers. Moreover, these consumption motivations notably impact consumption behavior by mediating through consumption intentions.

This study integrates the theory of planned behavior with Maslow’s hierarchy of needs, systematically identifying four primary motivations that hierarchically influence wine consumption among Chinese young wine consumers. It empirically validates the relationships between motivations, intentions and behaviors, underscoring intentions as a mediating factor linking motivations and behaviors.

This study, grounded in social exchange theory, aims to explore the relationship between knowledge sharing and organizational sustainability, with a particular focus on the dual mediating roles of job-related psychological factors, specifically job engagement and meaningful work.

Data were collected from 373 employees across six large companies in South Korea. The study then used Model 6 of Hayes’ PROCESS hierarchical regression of SPSS 29 for hypothesis testing.

The study reveals a strong connection between knowledge sharing and its positive influence on employee job engagement and the perception of meaningful work, both of which play essential mediating roles in promoting organizational sustainability. The findings emphasize the critical importance of knowledge sharing in driving sustainability efforts, showing how the interplay between job engagement and meaningful work significantly enhances these outcomes.

This research contributes to social exchange theory by demonstrating the dual mediating roles of job engagement and meaningful work between knowledge sharing and sustainability.

Although marketing is essential for a firm’s survival and growth, a set of entrepreneurial strategic orientations may help it gain a competitive advantage. Entrepreneurial marketing (EM) is critical for growing businesses to succeed in today's fast-paced industry. The present study aims to measure the role of EM on the business performance (BP) of Indian startups.

For this purpose, a thorough literature review was conducted to develop a scale from the proposed conceptual framework – EMICO by Jones and Rowley (2009b). To assess the reliability and validity of the scale (62 items), the data are analyzed by employing partial least square-structural equation modeling (PLS-SEM).

The scale is empirically tested, and the results lead to discussions. The results show the positive impact of entrepreneurial orientation (EO), marketing orientation (MO), innovation orientation (IO) and customer orientation (CO) on the BP of the startups. The paper concludes by suggesting managerial and practical implications, also providing future research agenda.

Our objective is to address the existing dearth of comprehensive scales for evaluating EM by undertaking a rigorous statistical approach. Notably, our research represents the pioneering effort in adopting the EMICO framework and subsequently formulating and empirically validating a robust scale specifically tailored for nascent or small-scale startups within the Indian context.

The objective of this article is to analyze the mediating role of innovation capability—both radical and incremental—between technological turbulence and digital innovation ecosystem performance, considering the impact of cross-organizational knowledge sabotage. Despite the enthusiasm surrounding digitization, the high failure rate (80%) of digital transformation projects has received limited attention. This alarming statistic indicates a potential rise in opportunistic behaviors within organizations. We hypothesize that employees seeking to reduce the risk of being displaced by digital technologies, may not only hide knowledge, as previously observed, but also engage in knowledge sabotage by disseminating inaccurate information during the co-creation of digital innovations within the digital innovation ecosystem.

The study employed structural equation modeling to examine moderated mediation using survey data collected from 148 firms, mainly from sectors of high to medium levels of digital intensity.

The most significant finding indicates that cross-organizational knowledge sabotage considerably reduces the only mediating effect, namely that of incremental innovation capability.

Our study presents a novel perspective by investigating the phenomenon of cross-organizational knowledge sabotage. Unlike prior research, which primarily identified the existence of knowledge hiding, our findings suggest that employees are not only willing to withhold information but also to disseminate inaccurate information to external partners. Consequently, our research extends the boundaries of the existing knowledge field by demonstrating that cross-organizational knowledge sabotage has repercussions that extend beyond intra-organizational impacts, as previously recognized. It also adversely affects the outcomes of collaborative work within the digital innovation ecosystem.

This study aims to analyze the entrepreneurial intention (EI) of Colombian researchers using machine learning (ML) techniques, considering their academic activity, contexts and social norms (SN).

Unsupervised classification techniques were applied, including principal component analysis, hierarchical clustering with the Ward method and a logistic model to evaluate the classification. This was done to group researchers according to their characteristics and EI.

The methodology used allowed the identification of three groups of academics with distinct characteristics, of which two showed a high presence of EI. The results indicate that EI is influenced by the connection with the private sector (consulting, intellectual property and applied research) and by the lack of institutional support from universities. Regarding SN, only the preference for entrepreneurial activity over being an employee and the social appreciation of entrepreneurial dedication were identified as predictors of EI.

The use of ML techniques to study the EI of researchers is uncommon. This study highlights the ability of the methodology used to identify differences between two groups of academics with similar characteristics but different levels of EI. One group was identified that, despite rejecting values associated with entrepreneurs, has a high predisposition to develop a career as an entrepreneur. This provides valuable information for designing policies that promote EI among Colombian researchers.

This research objective is to (1) examine the effect of organizational factors on quality performance, (2) examine the effect of quality performance on competitive advantage and (3) examine the mediating role of quality performance between organizational factors and competitive advantage.

The research sample includes 140 employees in the Windusari village-owned enterprise, in Magelang, Indonesia. Data are collected using 5-Likert scale questionnaires which follow Ferdousi et al. (2019). The dependent variable is a competitive advantage. The Independent variable is organizational factors which are top management support, employee empowerment, employee involvement, reward and recognition, training and customer focus. The mediating variable is quality performance. Data analysis uses path analysis provided by structural equation modeling.

Based on path analysis, organizational factors have a positive effect on quality performance, quality performance has a positive effect on competitive advantage and quality performance mediates the effect of organizational factors on competitive advantage. The results confirm the concept of quality management where continuous improvement of products and services can meet customer expectations and bring the organization to a better position in the industry to face other competitors.

This research extends the previous studies of the relationship between organizational factors and organizational outcomes by considering the effectiveness of the organizational process. This research also contributes to giving new evidence about the relationship between organizational factors, quality management and competitive advantage in the village-owned enterprise in Magelang, Indonesia. This research also contributes to updating the literature on the theory of quality management.

Focusing on the food and beverage (F&B) sectors, this study aims to identify combinations of external environmental factors (natural disasters and water stress) and internal corporate governance factors (corporate social responsibility [CSR] sustainability committee, board gender diversity and stakeholder engagement) that lead to the integration of climate change mitigation innovation and technologies.

A fuzzy set qualitative comparative analysis (fsQCA) was conducted on a global sample of 262 listed companies in the F&B sectors. Two additional analyses were performed for European and Asian companies.

In the three models, the presence of CSR sustainability committees and stakeholder engagement was crucial for achieving the integration of climate change mitigation innovation and technologies. The relevance of board gender diversity differs between the European and Asian models, highlighting potential regional influences on corporate climate innovation decisions. The combination of external and internal factors is the key to justifying different approaches to achieving climate innovation.

This study offers insights into the factors driving the integration of climate change mitigation innovation and technologies into company strategies. Related strategies must combine external and internal factors to enhance the climate resilience and competitiveness of F&B companies while reducing their environmental impact.