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The market segment of families with young children is significant for the cruise industry in China. This study aims to examine the cruise experience of them and facilitate the provision of family cruise vacation products and services.

This study collects online comments on the cruise experience of Chinese families with young children and analyzes the data in terms of text, sentiment and content.

The results of the text analysis indicate issues with several dimensions of the cruise experience. But the results of a sentiment analysis reveal that only 56.76% of the Chinese families with young children expressed positive feelings about cruise tourism. Almost one third (30.43%) expressed negative feelings, and the rest were neutral. In addition, by conducting a content analysis of the negative sentiment comments, this study identifies areas where cruise products and services need to be improved.

Cruise lines are advised to improve the provision of family cruise vacation products and services, such as enhancing physical experience elements, paying attention to human interaction and situational factors and caring for travelers’ personal needs.

This paper explores the cruise experience of Chinese families with young children, which is currently underdeveloped. A methodology approach including text analysis, sentiment analysis and content analysis is systematically applied to offer a holistic and deep understanding of travel experience. A framework for the cruise experience is proposed, which has theoretical and practical significance.

携儿童出游的中国家庭邮轮体验研究

摘要

有小孩的家庭细分市场对中国的邮轮行业来说意义重大。本研究旨在通过分析他们的邮轮体验, 提升家庭邮轮度假产品和服务的开发与运营。

本研究通过收集携儿童出游的中国家庭邮轮体验的相关在线评论, 对其从文本分析、情感分析和内容分析等方面对数据进行了分析。

文本分析的结果表明邮轮体验的若干维度上存在问题。但情感分析的结果显示, 只有56.76%的有小孩的中国家庭对邮轮体验表达出了积极情绪。近三分之一 (30.43%) 表达了负面情绪, 其余的则持中立态度。此外, 通过对负面情绪评论进行内容分析, 本研究提出了邮轮产品和服务需要提升的方向。

建议邮轮公司根据本研究的结果改进家庭邮轮度假产品和服务, 如增强身体体验元素, 关注人际互动和情境因素, 关心旅客的个性化需求等。

本文对目前尚没有进行充分探讨的携儿童出行的中国家庭的邮轮体验进行了分析, 为了更全面深入地理解邮轮旅行体验, 本研究系统地应用了包括文本分析、情感分析和内容分析等方法, 提出了邮轮体验的研究框架, 具有一定的理论和实践意义。

Experiencias vacacionales en crucero para familias chinas con niños pequeños

Resumen

El segmento de mercado de familias con niños pequeños es significativo para la industria de cruceros en China. Este estudio tiene como objetivo examinar la experiencia de crucero de este segmento, así como facilitar la oferta de productos y servicios de vacaciones familiares en crucero.

Este estudio recopila comentarios en línea sobre las experiencias de crucero en las familias chinas con niños pequeños, analizando los datos en términos de texto, sentimiento y contenido.

Los resultados del análisis del texto indican problemas con varias dimensiones de la experiencia del crucero. Pero los resultados del análisis de sentimientos, revela que solo el 56,76% de las familias chinas con niños pequeños expresaron sentimientos positivos sobre el turismo de cruceros. Casi un tercio (30,43%) expresó sentimientos negativos, y el resto fue neutral. Además, al realizar un análisis de contenido de los comentarios de sentimiento negativo, este estudio identifica áreas donde los productos y servicios de cruceros deben mejorarse.

Se recomienda a las líneas de cruceros que mejoren la oferta de productos y servicios vacacionales familiares, así como mejorar los elementos de la experiencia física, prestar atención a la interacción humana y los factores situacionales, y atender las necesidades personales de los viajeros.

Este trabajo explora la experiencia de crucero de las familias chinas con niños pequeños, que actualmente está poco desarrollada. Se aplica sistemáticamente un enfoque metodológico que incluye análisis de texto, análisis de sentimiento y análisis de contenido para ofrecer una comprensión holística y profunda de la experiencia de viaje. Se propone un marco para la experiencia del crucero, que tiene significado teórico y práctico.

Using a video revealing unhygienic practices in Chinese five-star hotels as the case study, this study aims to understand the impact of service failure online exposure on hotel revenue performance in terms of seriousness, magnitude and duration, as well as to identify the hotel-characteristics and hotel-responsiveness factors that influence revenue recovery.

This study uses the actual Revenue per Available Room data of ten hotels involved in the incident and five different market segments during 2016–2019. Event study method is used to investigate the effect of online exposure on hotel revenue performance.

This study confirms the significant negative effect of online exposure and that hotels take nearly nine months to fully recover. The results indicate that hotel size, hotel age and response strategy play an important role in reducing negative impacts. Moreover, this study reveals the dynamic spillover effects of online exposure on different hotel market segments. These effects change from a competitive to a contagious effect with a decrease in class ratings.

Low-class hotel managers should take effective actions to avoid possible negative spillovers from others’ service failure incidents. Hotel managers could consider the synergy of different strategies rather than a single response strategy to minimize losses.

This study theoretically broadens knowledge about the negative impact of online exposure on Chinese hotel revenue. Additionally, the findings examine the dynamic spillover effects on hotels in different segments. Furthermore, they extend the existing findings on the negative impact of online public opinion crises.

本研究以一段揭示中国五星级酒店不卫生行为的视频为案例, 旨在了解网上曝光的服务失败事件在严重程度、规模和持续时间方面对酒店收入绩效的影响, 并确定影响收入恢复的酒店特征和酒店回应因素。

本研究使用了2016–2019年期间10家涉及酒店和5个不同的细分市场的实际每间可用房收入（RevPARs）数据。采用事件研究法（ESM）来研究网上曝光对酒店收入绩效的影响。

本研究证实了网上曝光的显著负面效应, 酒店需要近9个月的时间才能完全恢复。结果表明, 酒店规模、酒店年龄和回应策略在减少负面影响方面发挥了重要作用。此外, 本研究还揭示了在线曝光对不同酒店细分市场的动态溢出效应。这些效应随着酒店星级的下降而从竞争效应变为传染效应。

低星级酒店管理者应采取有效行动, 避免其他酒店的服务失败事件可能带来的负面溢出效应。酒店管理者可以考虑不同策略的协同作用, 而不是单一的回应策略来减少损失。

本研究从理论上拓宽了关于网上曝光对中国酒店收入绩效的负面影响的知识。与此同时, 本研究的结果考察了不同细分市场的酒店的动态溢出效应。此外, 还扩展了现有的关于网络舆情危机的负面影响的研究结果。

Este estudio utiliza los datos reales de ingresos por habitación disponible (RevPAR) de 10 hoteles implicados en el incidente y cinco segmentos de mercado diferentes durante 2016-2019. Se utiliza el método de estudio de sucesos (ESM) para investigar el efecto de la exposición en línea en el rendimiento de los ingresos de los hoteles.

Utilizando como caso de estudio un vídeo que revela prácticas antihigiénicas en hoteles chinos de cinco estrellas, este estudio pretende comprender el impacto de la exposición online de fallos en el servicio sobre el rendimiento de los ingresos hoteleros en términos de gravedad, magnitud y duración, así como identificar las características y los factores de respuesta del hotel que influyen en la recuperación de los ingresos.

Este estudio confirma el importante efecto negativo de la exposición online, tardando los hoteles casi nueve meses en recuperarse totalmente. Los resultados indican que el tamaño del hotel, su antigüedad y la estrategia de respuesta desempeñan un papel importante en la reducción del impacto negativo. Además, este estudio revela los efectos indirectos dinámicos de la exposición online en diferentes segmentos del mercado hotelero. Estos efectos cambian de un efecto competitivo a un efecto contagioso con una disminución de las calificaciones de la categoría o clase hotelera.

Los revenue managers de los hoteles de categoría baja deberían tomar medidas eficaces para evitar posibles repercusiones negativas de los fallos en el servicio de otros hoteles. Los directores de hotel podrían considerar la sinergia de diferentes estrategias en lugar de una única estrategia de respuesta para minimizar las pérdidas.

Este estudio amplía teóricamente los conocimientos sobre el impacto negativo de la exposición online en los ingresos de los hoteles chinos. Además, los resultados examinan los efectos indirectos dinámicos en hoteles de diferentes segmentos. Además, amplían los resultados existentes sobre el impacto negativo de las crisis de opinión pública online.

In the era of big data, data have become an essential factor of production. In the context of open government data (OGD), encouraging the commercial development of OGD is significant for promoting mass innovation and entrepreneurship. This study aims to explore the configurational impact of data supply, external environment and entrepreneurial foundation on data-driven entrepreneurship.

This research used a fuzzy set qualitative comparative analysis (fsQCA). Fourteen start-ups using OGD were taken as a case sample.

This study produces two paths to achieving high entrepreneurial performance, one is a financing-enhanced entrepreneurial path and the other is a data-driven entrepreneurial path. Besides, four conditions are necessary for high performance of OGD-based entrepreneurship: good data quality, mature legal environment, favorable market environment and abundant big data entrepreneurial talents.

The findings have important practical implications for formulating policies related to promoting the application of government open data and innovation and entrepreneurship in terms of strengthening top-level design, improving the legal environment, developing the data market and cultivating entrepreneurial talents.

Although many studies have been conducted on OGD, studies on the paths to successful entrepreneurship based on OGD are limited. In this study, this issue is investigated from a configurational perspective by using the fsQCA technique.

This paper aims to examine the role of the Chinese People’s Political Consultative Conference (CPPCC), a political advisory body in China, in addressing environmental challenges.

This study uses 457 CPPCC environmental proposals across 160 cities for the period of 2013 to 2015 and a mediation effect model to examine the effect of CPPCC environmental proposals on environmental quality.

This study shows that CPPCC environmental proposals improve environmental quality; and the relationship between CPPCC environmental proposals and environmental quality is partially mediated by enforcement of environmental laws and regulations only although the proposals positively influence both law enforcement and environmental public budget expenditures.

Future research may examine how the interaction between the government and other important stakeholders such as non-governmental organizations can help improve environmental quality. In addition, future research may examine whether other policy tools such as pollution tax and fees, environmental subsidies, and emissions trading can play a role in dealing with environmental issues.

This study provides evidence that supports CPPCC members to take an even more active role in public governance by engaging with both the government and the public.

The CPPCC’s participation in public governance helps the government respond to critical issues more effectively. The government should pay close attention to CPPCC proposals when making public policies. Furthermore, the government probably needs to review its policies in relation to environmental expenditures.

This study is the first to examine the role of the CPPCC, a political advisory body, in addressing environmental challenges through functioning as a bridge between government and the public, whereas the extant literature has predominantly focused on the role of government, market and the public.

With recent advances in artificial intelligence, the hospitality industry has introduced the concept of unmanned smart hotels staffed by service robots instead of human employees. Research is needed to understand consumers’ receptivity to such an innovation. This paper examines factors associated with consumers’ potential resistance to using automated service hotels via two sequential studies. Given that younger generations of consumers are typically early adopters of advanced technology and innovative services, our sampling approach focused on this consumer group.

Two studies were conducted. Study 1 proposed and empirically tested a theoretical model. Results revealed that attitude, subjective norms and perceived behavioral control each positively influenced individuals’ intentions to use unmanned smart hotels. In Study 2, we further investigated aspects informing perceived security, a key variable in the use of unmanned smart hotels.

Findings showed how people’s beliefs about unmanned smart hotels and security control assurances led to perceived security. These perceptions were shaped by perceived physical risks, privacy concerns, website design and hotel reputation. Overall, this research provides theoretical and practical implications for various stakeholders associated with unmanned smart hotels.

Findings of this study suggested that managers of unmanned smart hotels should design user-friendly, secure processes and offer comprehensive support resources to enhance customer experience and usage.

The findings provide a holistic understanding of consumers’ receptivity to unmanned smart hotels.

With the focus on the impact of foreign direct investment (FDI) on export quality or of intellectual property rights (IPR) protection on export trade, there is little scholarly attention on how IPR protection affects the relationship between FDI and export quality. This study aims to examine the potential nonlinear dynamic threshold effect of IPR protection on the relationship between FDI and export quality. Distinguishing between developing and developed countries, the authors present an empirical analysis of the effects of FDI on export quality per degree of IPR protection.

Using panel data on 45 countries for the period from 1992 to 2014, we use a nonlinear dynamic panel threshold model to examine the effect of IPR protection on the relationship between FDI and export quality.

The authors find a triple threshold effect of IPR protection in both developing and developed countries. The three threshold values are larger for developed countries than for developing countries. The coefficients on the relationship between FDI and export quality per degree of IPR protection are larger in developing countries than in developed countries, except for high IPR protection. The results of the paper suggest that the effect of FDI on export quality differs greatly per degree of IPR protection. In both developing and developed countries, FDI impacts export quality most significantly under medium-high IPR protection. Having estimated the optimal range of IPR protection for attaining FDI in both groups of countries, policy recommendations are offered.

These findings not only contribute to the literature but also provide a view that a moderate level of IPR protection is conducive to attracting FDI and improving export quality.

A new round of technological revolution is impacting various aspects of society. However, the importance of technology adoption in fostering firm innovation is underexplored. Therefore, this study aims to investigate whether robot adoption affects technological innovation and how human capital plays a role in this relationship in the era of circular economy.

Based on the robot adoption data from the International Federation of Robotics (IFR) and panel data of China's listed manufacturing firms from 2011 to 2020, this study uses regression models to test the impact of industrial robots on firm innovation and the mediating role of human capital.

The results demonstrate that the adoption of industrial robots can significantly promote high-quality innovation. Specifically, a one-unit increase in the number of robots per 100 employees is associated with a 13.52% increase in the number of invention patent applications in the following year. The mechanism tests show that industrial robots drive firm innovation by accumulating more highly educated workers and allocating more workers to R&D jobs. The findings are more significant for firms in industries with low market concentration, in labor-intensive industries and in regions with a shortage of high-end talent.

Due to data limitations, the sample of this study is limited to listed manufacturing firms, so the impact of industrial robots on promoting innovation may be underestimated. In addition, this study cannot observe the dynamic process of human capital management by firms after adopting robots.

The Chinese government should continue to promote the intelligent upgrading of the manufacturing industry and facilitate the promotion of robots in innovation. This implication can also be applied to developing countries that hope to learn from China's experience. In addition, this study emphasizes the role of human capital in the innovation-promoting process of robots. This highlights the importance of firms to strengthen employee education and training.

The adoption of industrial robots has profoundly influenced the production and lifestyle of human society. This study finds that the adoption of robots contributes to firm innovation, which helps people gain a deeper understanding of the positive impacts brought about by industrial intelligence.

By exploring the impact of industrial robots on firm innovation, this study offers crucial evidence at the firm level to comprehend the economic implications of robot adoption based on circular economy and human perspectives. Moreover, this study reveals that human capital is an important factor in how industrial robots affect firm innovation, providing an important complement to previous studies.

Online health communities (OHCs) are platforms that help health consumers to communicate with each other and obtain social support for better healthcare outcomes. However, it is usually difficult for community members to efficiently find appropriate peers for social support exchange due to the tremendous volume of users and their generated content. Most of the existing user recommendation systems fail to effectively utilize the rich social information in social media, which can lead to unsatisfactory recommendation performance. The purpose of this study is to propose a novel user recommendation method for OHCs to fill this research gap.

This study proposed a user recommendation method that utilized the adapted matrix factorization (MF) model. The implicit user behavior networks and the user influence relationship (UIR) network were constructed using the various social information found in OHCs, including user-generated content (UGC), user profiles and user interaction records. An experiment was conducted to evaluate the effectiveness of the proposed approach based on a dataset collected from a famous online health community.

The experimental results demonstrated that the proposed method outperformed all baseline models in user recommendation using the collected dataset. The incorporation of social information from OHCs can significantly improve the performance of the proposed recommender system.

This study can help users build valuable social connections efficiently, enhance communication among community members, and potentially contribute to the sustainable prosperity of OHCs.

This study introduces the construction of the UIR network in OHCs by integrating various social information. The conventional MF model is adapted by integrating the constructed UIR network for user recommendation.

The residential sector is a principal contributor to global energy consumption, underscoring the critical importance of promoting green housing initiatives to mitigate energy use and environmental degradation. The prevalence of uncertainty in the natural environment, exemplified by phenomena like extreme weather events, highlights the urgent need for adaptive strategies and sustainable practices to mitigate the impact on human communities and ecosystems. Against this backdrop, this paper presents a theoretical framework examining the influence of natural environmental uncertainty on consumers' willingness to purchase green housing.

Through three experiments, this study modeled the mechanism by which the natural environment uncertainty affects consumers' willingness to purchase green housing, and then verified the mediating effect of the threat of ontological security and the moderating effect of the degree of consumers' natural connectedness.

This paper concludes (1) natural environmental uncertainty exerts a significant positive impact on the willingness to purchase green housing, with the threat to ontological security serving as a pivotal mediating variable; (2) the degree of natural connectedness significantly moderates the effect of ontological security threats on the purchasing intent for green housing.

This research contributes to the marketing literature by offering a novel perspective on the impact of natural environmental uncertainty on consumer behavior, augmenting the body of knowledge concerning the determinants of green housing purchase intentions, and provides new ideas for marketers.

This paper aims to investigate the impact of intellectual property rights (IPR) protection on its ability to enhance domestic export quality.

This paper provides a testable framework to explain the impact of IPR protection on export quality. Research and development (R&D) spending and foreign direct investment (FDI) are positively correlated with a country’s export quality. Furthermore, intellectual property protection can induce more FDI and R&D spending. Therefore, the authors expect that there may be an indirect relationship between intellectual property protection and export quality (Figure 1).

The empirical results suggest that the influence paths of IPR protection on export quality are different between developed and developing countries. FDI plays a mediating role in the relationship between IPR protection and export quality in developing countries, while this mediating effect in developed countries is dependent on R&D and FDI. In addition, this impact is statistically significant in high-technology industries. Especially, IPR protection plays an extraordinary important role in enhancing the export quality of differentiated high-technology products.

This paper contributes to the literature in several ways. First, this is the first empirical analysis focusing on the influence path of IPR protection on export quality. The authors find that the hypothesis is supported by the positive and significant interaction coefficients of IPR protection with FDI and R&D. Second, the authors explore that the influence path of IPR protection on export quality may vary with the level of economic development. Third, this paper examines the effect of IPR protection on export quality in different industries.