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Mianzi can powerfully influence tourists’ behavior. Compared with product brands, destination brands are more multidimensional, consisting of intangible and tangible elements. Therefore, this paper aims to explore the relationships among the Chinese culture-related variable mianzi, destination product quality, destination service quality, destination brand value, destination brand resonance, destination brand self-congruity and destination overall brand equity.

A questionnaire survey was conducted in 2021, yielding 475 valid responses from tourists who had traveled to Hainan, China. Data was analyzed using structural equation modeling.

The results showed that mianzi plays a significant role in shopping destination brand equity, and the mianzi effect shapes tourists’ positive perceptions of destination product and service quality. Meanwhile, destination product quality and service quality enhance shopping destinations’ overall brand equity through destination brand value, brand resonance and brand self-congruity.

This study, focusing on shopping destinations, presents a novel view of brand equity. The research also uncovers influencing factors (e.g. product quality and service quality) that further enrich the destination brand equity model. Finally, findings offer valuable insights for academic research and the practical development of shopping destinations.

面子能有力地影响游客的行为。与产品品牌相比, 目的地品牌更加多维, 由无形要素和有形要素构成。因此, 本文旨在探讨与中国文化相关的变量面子、目的地产品质量、目的地服务质量、目的地品牌价值、目的地品牌共鸣、目的地品牌自我一致和目的地整体品牌资产之间的关系。

2021年对去过中国海南旅游的游客进行问卷调查, 最终获取了 475 份有效问卷。

果表明, 结果表明面子在购物目的地品牌资产中发挥着重要作用, 面子效应塑造了游客对目的地产品和服务质量的积极认知。同时, 目的地产品质量和服务质量通过目的地品牌价值、品牌共鸣和品牌自我一致提升了购物目的地的整体品牌资产。

本研究以购物目的地为重点, 提出了一种新颖的品牌资产观点。研究还发现了一些影响因素（如产品质量和服务质量）, 进一步丰富了目的地品牌资产模型。最后, 研究结果为学术研究和购物目的地的实际发展提供了宝贵的见解。

Mianzi puede influir poderosamente en el comportamiento de los turistas. En comparación con las marcas de producto, las marcas de destino son más multidimensionales y constan de elementos intangibles y tangibles. Por lo tanto, este artículo pretende explorar las relaciones entre la variable mianzi relacionada con la cultura china, la calidad del producto del destino, la calidad del servicio del destino, el valor de la marca del destino, la resonancia de la marca del destino, la autocongruencia de la marca del destino y el valor general de la marca del destino.

En 2021 se llevó a cabo una encuesta por cuestionario, que arrojó 475 respuestas válidas de turistas que habían viajado a Hainan, China. Los datos se analizaron mediante un modelo de ecuaciones estructurales.

Los resultados mostraron que el mianzi desempeña un papel significativo en el valor de marca de los destinos de compras, y que el efecto mianzi determina las percepciones positivas de los turistas sobre la calidad de los productos y servicios del destino. Por su parte, la calidad de los productos y servicios del destino mejora el valor de marca global de los destinos de compras a través del valor de marca del destino, la resonancia de la marca y la autocongruencia de la marca.

Este estudio, centrado en los destinos de compras, presenta una visión novedosa del valor de marca. La investigación también descubre factores influyentes (por ejemplo, la calidad del producto y la calidad del servicio) que enriquecen aún más el modelo de valor de marca del destino. Por último, los resultados ofrecen valiosas perspectivas para la investigación académica y el desarrollo práctico de los destinos de compras.

Artificial intelligence (AI) agents have been increasingly applied in the tourism and hospitality industry. However, AI service failure is inevitable. Thus, AI service recovery merits empirical investigation. This study aims to explore how AI empathic accuracy affects customers’ satisfaction in the context of AI service recovery.

A moderated mediation model was presented to describe the effect of empathic accuracy on customer satisfaction via four scenario-based experiments.

The results reveal the positive impact of AI empathic accuracy on customer satisfaction and the mediating effects of perceived agency and perceived experience. Moreover, anthropomorphism moderates the empathic accuracy effect.

This paper expanded AI service studies by exploring the significance of empathic accuracy in customer recovery satisfaction. The results provide a novel theoretical viewpoint on retaining customers following AI service failure.

人工智能（AI）设备已越来越多地应用于旅游业和酒店业。然而, AI服务失败是不可避免的。因此, AI服务补救值得进一步实证研究。本研究探讨了AI共情准确性如何影响顾客对AI服务补救的满意度。

通过四个基于场景的实验, 提出了一个有调节的中介模型来描述共情准确性对顾客满意度的影响。

结果揭示了AI共情准确性对顾客满意度有积极影响, 感知能动性和感知感受性具有中介效应。此外, 拟人化调节了共情准确性的效应。

本文通过探讨共情准确性在顾客服务补救满意度中的作用, 拓展了AI服务研究。研究结果为AI服务失败后如何留住顾客提供了新的理论视角。

Las agentes de inteligencia artificial (IA) se aplican cada vez más en el sector del turismo y la hostelería. Sin embargo, los fallos de los servicios de IA son inevitables. Por lo tanto, la recuperación de servicios de IA merece una investigación empírica. Esta investigación explora cómo la precisión empática de la IA afecta a la satisfacción de los clientes con la recuperación del servicio de IA.

Se presentó un modelo de mediación moderado para describir el efecto de la precisión empática en la satisfacción del cliente mediante cuatro experimentos basados en escenarios.

Los resultados revelan el impacto positivo de la precisión empática de la IA en la satisfacción del cliente y los efectos mediadores de la agencia percibida y la experiencia percibida. Además, el antropomorfismo modera el efecto de la precisión empática.

Este artículo amplía los estudios sobre los servicios de IA al investigar el papel de la precisión empática en la satisfacción del cliente. Los resultados aportan un punto de vista teórico novedoso sobre la retención de clientes tras el fallo de un servicio de IA.

By adopting learning theory and a guanxi perspective, this study aims to investigate the effects of interpersonal guanxi (interpersonal networks or connections) and relationship learning on companies’ business performance when operating in a large emerging market.

Using a sample of 294 sales managers and salespeople in the Chinese hotel sector, the authors empirically test the authors' arguments through a structural equation modeling (SEM) approach.

The authors' findings indicate that strong interpersonal guanxi tends to generate more positive business performance. Furthermore, the authors find that relationship learning plays a mediating role in the association between interpersonal guanxi and hotel companies’ business performance in a Chinese context. Finally, the authors empirically explore the moderating effect of inter-firm dependence on the contribution of interpersonal guanxi to relationship learning. Findings demonstrate that this effect varies significantly based on inter-firm dependence, with interpersonal guanxi exhibiting a greater positive impact if such dependence is high.

This study enriches our understanding of interpersonal guanxi and of how companies can enhance the companies' business performance in an emerging market context.

The purpose of this paper is to examine the threshold effect of group size on customer's complaining intention under group service failures.

Based on two main laboratory experiments, through two 10×2 scenario simulation experiments, the authors examine the role of group size in customer's complaining intention.

Results show that: (1) the relationship between group size and customer's complaining intention follows an inverted “U” type trend; (2) evaluation apprehension mediates the relationship between group size and customer's complaining intention; (3) relational distance can change threshold values and (4) relational distance moderates the relationship between group size and customer's complaining intention.

Managers should judge the threshold of group size through experience so as to have a preliminary understanding of customer evaluation concerns and complaint intention. In the face of service failure groups smaller than the threshold range, managers should divided the group into several small groups. For service failure groups larger than the threshold range, the opinion leaders in the group should be given more attention, so as to control the whole group.

This paper is helpful to deeply understand the key role of group size in the process of customer complaints, and also provides decision-making basis for service enterprises to deal with group customer complaints.

There has been little research about the threshold effect of group size on customer's complaining intention. The previous studies on customer's complaining intention focus on its influences on group size, and draw a single common conclusion that the customer's intention to complain will increase with the growing number of groups increases. However, few studies are explored on the threshold of group size. Therefore, this paper will focus on the threshold effect of group size on customer's complaining intention to fill the gap.

This paper aims to explore the effects of mineral diesel fuel carbon soot (MCS) and biodiesel carbon soot (BCS) on the lubrication of polyalphaolefin (PAO) and diesel fuels.

Two styles of carbon soot were prepared from the natural combustion of mineral diesel fuel oil (MDO) and biodiesel oil (BDO). Tribological tests were conducted on a high-frequency reciprocating rig. Friction surfaces were characterized using three-dimensional laser scanning confocal microscopy and Raman spectroscopy.

The addition of MCS and BCS to PAO could reduce friction in most cases. MCS had a negligible effect on the wear for contents not exceeding 1.0 per cent. By contrast, BCS exhibited a considerable negative influence on the wear resistance even at low contents. For diesel fuels, MCS reduced both friction and wear, whereas BCS substantially deteriorated the lubrication of BDO. MCS formed a Fe₃O₄/C composite lubricating film on the friction surface. BCS also entered the contact region, but it did not form an effective Fe₃O₄/C composite lubricating film.

This work compared MDO and BDO from a different perspective, i.e. the effects of their combustion carbon soot on the lubrication of lubricating oil and fuel oil. The significant negative effect of BCS on the lubrication of lubricating oil and BDO is a problem that could occur in the industrial application of BDO.

To explore and measure wearout or the acceptance threshold, beyond which, messages in the form of mobile text advertising generate irritation. To assess the set of factors that positively or negatively, according to literature, influences the attitude towards advertising in short message service (SMS) format and on this basis to propose future research along this line. There is also a focus on irritation antecedents.

Two surveys are used to prevent unbiased answers. The first one is driven to study the wearout effect in the SMS context. An offline survey is carried out using a structured questionnaire. A sample size of 188 using convenience sampling is collected. The second research is driven to study irritation and attitude towards SMS advertising. Data are collected through an online questionnaire which is published through social media platforms, an e-mail mailing list and a quick response (QR) code. An international sample size of 253 applying a convenience and snow ball sampling procedure is collected.

The wearout threshold and irritation antecedents in the mobile advertising context are identified as well as positive and negative factors which influence attitude towards SMS advertising. The replies do not match exactly with the significant factors found in previous research.

There are some, among them, sample size and sampling procedure; only one sector was analysed and, although reliability is acceptable, the number of items in each measurement scale was reduced to only two.

Wearout and the characteristics of an SMS message capable to generate positive attitude are described.

Guidelines to improve public attitudes towards SMS advertising and prevention from wearout are given.

Wearout in the mobile advertising context is explored and some insights regarding irritation antecedents and the role played by frequency and other positive factors in the causal model proposed by the academy are assessed.

Brand crowdfunding, launched through brands’ social media platforms, can provide a myriad of crowdfunding and branding benefits, such as strengthening brands’ social networks, validating product launches, generating mass exposure and enabling cocreation. Gamification positions brand crowdfunding as an exciting and joyful activity that more deeply engages prosumers. Anchored on resource-based theory, theory of planned behavior and service-dominant logic, this paper aims to develop a brand crowdfunding framework for established brands with insights from two emerging markets: China and India.

A deductive cross-sectional design is used to gather data from an established brand’s (e.g. Xiaomi) social media followers in China (n = 826) and India (n = 358), which is analyzed through PLSc-SEM.

The results reveal that social media brand engagement is an antecedent of brand crowdfunding participation, brand crowdfunding intention is a predictor of brand loyalty and gamification is a significant moderator in technology-oriented societies.

The paper develops a brand crowdfunding framework that provides insights on how established brands can leverage crowdfunding to enhance their new product development process. The results contribute to the social media brand engagement, crowdfunding, gamification and emerging markets literature.

Extreme high temperatures are a significant feature of global climate change and have become more frequent and intense in recent years. These pose a significant threat to both human health and economic activity, and thus are receiving increasing research attention. Understanding the hazards posed by extreme high temperatures are important for selecting intervention measures targeted at reducing socioeconomic and environmental damage.

In this study, detrended fluctuation analysis is used to identify extreme high-temperature events, based on homogenized daily minimum and maximum temperatures from nine meteorological stations in a major grassland region, Hulunbuir, China, over the past 56 years.

Compared with the commonly used functions, Weibull distribution has been selected to simulate extreme high-temperature scenarios. It has been found that there was an increasing trend of extreme high temperature, and in addition, the probability of its indices increased significantly, with regional differences. The extreme high temperatures in four return periods exhibited an extreme low hazard in the central region of Hulunbuir, and increased from the center to the periphery. With the increased length of the return period, the area of high hazard and extreme high hazard increased. Topography and anomalous atmospheric circulation patterns may be the main factors influencing the occurrence of extreme high temperatures.

These results may contribute to a better insight in the hazard of extreme high temperatures, and facilitate the development of appropriate adaptation and mitigation strategies to cope with the adverse effects.

Purpose – To provide differentiated teaching models and a set of instructional reading strategies and materials for current and future classroom teachers to help them enhance the quality of reading instruction for English Learners (ELs).

Design/methodology/approach – The instructional reading strategies and materials and differentiated teaching models presented in this chapter are drawn from a body of current literature on ELs' English language development and on effective reading instruction for ELs. The instructional reading strategies and materials are categorized into five subcomponents of reading instruction: sight words, phonics, fluency, vocabulary, and comprehension.

Findings – Provides differentiated teaching models and specific instructional strategies and materials that target each of the five specific subcomponents of reading instruction for ELs (i.e., sight words, phonics, fluency, vocabulary, and comprehension).

Research limitations/implications – Some publications related to instructional reading strategies and materials may be limited to specific ELs in United States who speak a predominate native language (i.e., Spanish). These instructional reading strategies and materials may not be appropriate for ELs speaking another native language.

Practical implications – A very useful source of differentiated teaching models and practical instructional reading strategies and materials for current and future classroom teachers of ELs.

Originality/value – This chapter provides specific information and resources for current and future classroom teachers of ELs to support them in delivering high quality reading instruction.

Grounding the research in the stimulus-organism-resource (S-O-R) framework, this study aims to address the research gap of explaining and predicting the relationship between price discounts, interactivity and professionalism on college students’ purchasing intention in live-streaming shopping. It also attempts to understand if trust plays the role of mediator in the effect of these relationships.

This study collected data using a questionnaire protocol adapted and refined from the original scales in existing studies. The partial least squares structural equation modeling was used to analyze data collected from 258 college students in China. Other than assessing the path model’s explanatory power, this study examined the model’s predictive power toward predicting new cases using PLS predict.

Results indicated that all three predictors have a positive significant relationship with trust, while only price discounts demonstrate a significant relationship with purchase intention. Simultaneously, the mediation results provide support to the S-O-R framework demonstrating that external factors (professionalism, interactivity and price discounts) can arouse organism (trust), which in return, generate a behavioral outcome (purchase intention).

This study is the first few studies that focus on college students’ behavioral responses in an online shopping environment. At the same time, this is the first study supplement the explanatory perspective with a predictive focus, which is of particular importance in making sound recommendations on managerial decision-making.