Search results

Although the number of guest houses in China is increasing rapidly, many of them are not performing well in developing customer loyalty. Self-congruity and functional congruity represent two cost-effective but inadequately researched ways for guest houses to maintain customers. In view of the lack of empirical research explaining the post-purchase behavior of guest house customers, the purpose of this study is to develop a congruity-based customer loyalty model for this specialized type of accommodation.

Based on a review of relevant literature, a robust conceptual framework of customer loyalty comprising satisfaction, self-congruity, functional congruity, perceived value and attractiveness of alternates was constructed. By means of an online panel survey, 828 valid questionnaires were obtained from customers who had stayed in a Chinese guest house within the previous year. Structural equation modeling was conducted to test the conceptual model and the hypothesized relationships among the constructs.

Significant relationships were found between the two congruity constructs in guest houses, which both led to positive customer post-purchase behaviors. The authors found that self-congruity, functional congruity and the attractiveness of alternates did not affect customer loyalty directly; rather, they influenced loyalty indirectly through customer satisfaction.

This study developed a unique, congruity-based model of customer loyalty in the context of guest houses. It enhances the body of knowledge regarding congruity in the field of tourism and hospitality, and it discusses relevant implications of the findings for tourism marketing researchers and for owner-managers of guest houses.

虽然民宿增长迅速, 多数民宿在顾客忠诚上表现较差。自我一致性和功能一致性作为民宿维持顾客的有效手段, 在学术上研究较少。鉴于学界缺乏对民宿顾客购后行为的实证研究, 本研究试图构建一个基于一致性的民宿顾客忠诚模型。

在文献综述基础上, 我们构建了一个基于一致性的顾客忠诚模型。用在线样本库的方法调查了过去一年有过民宿住宿体验的顾客, 最终收集了828份有效问卷。

研究发现, 两个一致性表现对顾客的购后行为存在显著影响。同时, 本研究显示, 自我一致性, 功能一致性和替代者吸引力并不直接影响顾客忠诚, 而是通过影响顾客满意影响忠诚。

基于一致性的新视角, 民宿顾客忠诚模型被重塑。本研究可以加深对接待业自我一致性研究的理解, 并为旅游营销研究提供启示。论文最后还讨论了研究结果对民宿研究和管理者的启示。

Aunque el número de casas de huéspedes en China está aumentando rápidamente, muchas de ellas no están funcionando bien en el desarrollo de la lealtad del cliente. La autocongruencia y la congruencia funcional representan dos formas rentables pero inadecuadamente investigadas para que las casas de huéspedes mantengan clientes. En vista de la falta de investigación empírica que explique el comportamiento posterior a la compra de los clientes de la casa de huéspedes, el presente estudio busca desarrollar un modelo de lealtad del cliente basado en la congruencia para este tipo especializado de alojamiento.

Con base en una revisión de literatura relevante, construimos un marco conceptual robusto de lealtad del cliente que comprende satisfacción, autocongruencia, congruencia funcional, valor percibido y atractivo de alternativas. Mediante una encuesta de panel en línea, obtuvimos 828 cuestionarios válidos de clientes que se habían alojado en una casa de huéspedes china durante el año anterior. Se realizó un modelado de ecuaciones estructurales para probar el modelo conceptual y las relaciones hipotéticas entre los constructos.

Se encontraron relaciones significativas entre las dos construcciones de congruencia en las casas de huéspedes, lo que condujo a comportamientos positivos posteriores a la compra del cliente. Descubrimos que la autocongruencia, la congruencia funcional y el atractivo de las alternativas no afectaban directamente la lealtad del cliente; más bien, influyeron indirectamente en la lealtad a través de la satisfacción del cliente.

Este estudio desarrolló un modelo único de lealtad del cliente basado en la congruencia en el contexto de las casas de huéspedes. Mejora el conjunto de conocimientos sobre congruencia en el campo del turismo y la hospitalidad, y analiza las implicaciones relevantes de los hallazgos para los investigadores de marketing turístico y para los propietarios-gerentes de casas de huéspedes.

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.

Energy consumption is a fundamental concern in wireless multimedia sensor networks, even more than that in traditional wireless sensor networks. In fact, sensors are battery‐constrained devices, while multimedia applications, which require higher transmission rates and more extensive processing capacity, produce large quantities of data. The purpose of this paper is to propose a method which could save multimedia nodes' energy during their sleeping and transmitting phases and effectively bring down energy consumption.

Based on the location and direction angle of nodes, areas of the overlapping sensing region between adjacent nodes could be calculated and a sleeping strategy is carried out to reduce energy consumption of inactive nodes. Moreover, an improved image comparison and block transmission methods by utilizing the sequence similar detection arithmetic theory is brought up as well to further save the node's energy.

With the help of the mobile nodes and by dividing the network into grids, sensing direction of multimedia node as well as the area of the overlapping sensing region could be obtained which provide a basis for the sleeping strategy. Furthermore, energy consumption on transmission is also reduced by only transmitting the unmatched blocks. Simulation results show that this method obtains satisfactory performance on prolonging the networks' lifetime.

This paper is of value in presenting an effective energy‐saving strategy for wireless multimedia sensor networks.

This study aims to investigate whether firms purchase directors' and officers' liability (D&O) insurance when the country-level economic policy uncertainty (EPU) is high.

This study uses D&O insurance data from Chinese listed firms between 2003 and 2019 to conduct regression analyses to examine the association between D&O insurance and EPU.

The results show that government EPU, despite being an exogenous factor, increases the likelihood of firms' purchasing D&O insurance, and this effect is more pronounced when firms are exposed to great share price crash risk and high litigation risk, suggesting that firms intend to purchase D&O insurance possibly due to the accentuated stock price crash risk and litigation risk associated with EPU. In addition, the results indicate that the effect of EPU on the D&O insurance purchase decision is moderated by the provincial capital market development and internal control quality.

The study highlights the role of uncertain economic policies in shareholder approval of D&O insurance purchases.

The study enriches the literature on the determinants of D&O insurance purchases by documenting novel evidence that country-level EPU is a key institutional factor shaping firms' decisions to purchase D&O insurance.

The current research aims to introduce the concept of frontline employee (FLE) vulnerability and examine its antecedents and consequences using a framework grounded in Job Demands-Resource theory (JD-R).

A systematic review and meta-analysis guided by PRISMA is utilized to review previous FLE literature (204 studies) and develop a conceptualization of FLE vulnerability. The meta-analysis then examines the antecedents and consequences of FLE vulnerability and provides generalizable findings including the identification of critical areas for future research.

The meta-analysis provided support for the proposed conceptualization of FLE vulnerability. Specifically, job demands and individual characteristics were observed to increase FLE vulnerability, conceptualized as an individual's susceptibility to experience state-based harm. Job resources were seen to minimize FLE susceptibility to vulnerability. FLE vulnerability was also observed to significantly strengthen negative outcomes and decrease positive outcomes.

This research addresses calls for greater investigation into how negative events may impact FLE vulnerability. This is achieved by defining FLE vulnerability as a concept which represents one's susceptibility to experience state-based harm as a result of job and/or individual characteristics. The research also provides greater understanding of the health impairment process within JD-R through the introduction and expanded definition of harm that moves beyond physical considerations to also include emotional and psychological harms. Finally, the research adds to the small body of meta-analytic research in the field of service management.

Following Hovland’s persuasion theory, this paper aims to develop a conceptual model and analyzes characteristics of online political deliberation behavior from three aspects (i.e. information, situation and manager). Based on the whole interactive process of online political deliberation, this paper aims to reveal the key points that affect the response effect of the government from the persuasive perspective of online political consultation.

Based on more than 40,000 netizens’ posts and government responses from 2011 to the first half of 2019 of the Chinese political platform, this paper used the text analysis and machine learning methods to extract measurement variables of online political deliberation characteristics and the econometrics analysis method to conduct empirical research.

The results showed that the textual information, political environment and identity of the political objects affect the effectiveness of government response. Furthermore, for different position categories of political officials, the length of political texts, topic categories and emotional tendencies have different effects on the response effectiveness. Additionally, the effect of political time on the effectiveness of response differs.

The findings will help ascertain the characteristics of online political deliberation behavior that affect how effective government response is and provide a theoretical basis for why the public should express their political concerns.

This study aims to understand the normative expectations of travelers on the services and experiences provided by Buddhism-themed hotels as well as how service providers perceive such expectations. The growth of religion-themed hotels in China follows a larger and more generalized global marketing trend in terms of providing tourists and consumers with “themed” experiences.

Using the service quality model, this study investigates these expectations of Buddhism-themed hotels in China. The Delphi method was used with two expert panels, namely, travelers and tourism/hotel practitioners. Preliminary interviews revealed 98 normative expectations from Buddhism-themed hotels. Two sets of Delphi questionnaires were used to compare tourist expectations with practitioner perceptions.

Results show a wide range of expectations of travelers staying in Buddhism-themed hotels. They also reveal how the expectations of the two groups aligned as well as differed.

This study extends the application of the service quality model to the context of religion-themed hotels. As this study adopted the Delphi technique through criterion sampling, future studies should use a larger random sample to verify the results of this study.

The results help religion-themed hoteliers to understand their customer expectations better.

Given the lack of studies on religion-themed hotels, especially on the gap between tourist expectations and service providers’ perceptions, this study is a timely contribution to improve the understanding on the needs and expectations of customers when visiting religion-themed hotels.

This study aims to investigate whether students would accept augmented reality technology in Al Ain University (AAU) libraries as part of digital library services.

This study used a modified technology acceptance model–based survey instrument for data collection. Data was collected through an online questionnaire, which was sent to 400 students via email in March 2023. Out of the total participants, 176 students completed the questionnaire.

This study found that AAU students have a positive perception of augmented technology use in the library. They believe that augmented technology will be useful and easy to use, and students are willing to use it to access library resources and services.

This study contributes to the digital library perspectives in academic libraries.

Previous studies of manufacturing management have ignored a critical theme: the relationship between supervisory support and work‐family conflict. This paper aims to explore the link between interpersonal relationships, guanxi, leader‐member exchange (LMX) theory, emotional intelligence (EI), supervisory support, and work‐family conflict.

The unit of analysis of this research is the dyad; the paper gathered 244 valid questionnaires from workers in traditional industries in Taiwan and China. Multiple regression analyses were used to analyze the data and to test the hypotheses.

The paper finds that supervisory support for work‐family conflict has faded in traditional industries. And, it finds that leaders with a higher level of LMX and expressive ties to their subordinates tend to offer a higher level of supervisory support, but that leaders with higher level of instrumental ties to their subordinates tend to offer lower levels of support. Finally, the survey results also show that a leader's level of EI is not related to supervisory support.

The research combines Western concepts of relationships with the Eastern concept of guanxi with the goal of clarifying the transfer of management concepts and exploring the explanatory power of guanxi in Chinese society. Although the empirical results of this study do not totally agree with expectations, they treat the benefits of supervisors' EI for organizations from a new point of view.

With the rapid development of social media, the occurrence and evolution of emergency events are often accompanied by massive users' expressions. The fine-grained analysis on users' expressions can provide accurate and reliable information for event processing. Hence, 2,003,814 expressions on a major malignant emergency event were mined from multiple dimensions in this paper.

This paper conducted finer-grained analysis on users' online expressions in an emergency event. Specifically, the authors firstly selected a major emergency event as the research object and collected the event-related user expressions that lasted nearly two years to describe the dynamic evolution trend of the event. Then, users' expression preferences were identified by detecting anomic expressions, classifying sentiment tendencies and extracting topics in expressions. Finally, the authors measured the explicit and implicit impacts of different expression preferences and obtained relations between the differential expression preferences.

Experimental results showed that users have both short- and long-term attention to emergency events. Their enthusiasm for discussing the event will be quickly dispelled and easily aroused. Meanwhile, most users prefer to make rational and normative expressions of events, and the expression topics are diversified. In addition, compared with anomic negative expressions, anomic expressions in positive sentiments are more common. In conclusion, the integration of multi-dimensional analysis results of users' expression preferences (including discussion heat, preference impacts and preference relations) is an effective means to support emergency event processing.

To the best of the authors' knowledge, it is the first research to conduct in-depth and fine-grained analysis of user expression in emergencies, so as to get in-detail and multi-dimensional characteristics of users' online expressions for supporting event processing.