Search results

With the development of the sharing economy, the collaborative consumption model has become more popular and has changed the way people engage in tourism. This study aims to explore. consumer experience in different types of rooms on a shared accommodation platform.

In this study, the authors divided the rooms on the shared accommodation platform into a budget type and a luxury type according to the room price and used content analysis to analyze 15,710 online reviews published on Xiaozhu.

This study found that consumer expectations varied depending on the room type. “Host,” “room,” “transportation and location” and “value” were the four common topics that consumers paid attention to in both room types. “Environment” and “objective conditions” were the particular focuses of the budget room consumers. However, consumers cared about “aesthetics” and “accommodation purpose” when staying in luxury rooms. These results reflected the influence of room prices on consumer experiences.

To the best of the authors’ knowledge, this study is one of the first to compare the consumer experience in rooms at different price points based on the evidence provided in online reviews. Latent Dirichlet allocation (LDA) analysis was used to extract the underlying topics from the online reviews, which provided more exciting results. This study leads to a comprehensive understanding of the consumer experience from the perspective of expectation theory, enriching the prior research on shared accommodation platforms.

研究目的: 随着共享经济的发展, 协同消费模式越来越流行, 改变了人们从事旅游的方式。本研究旨在探索共享住宿平台上不同类型房间的消费者体验。

在这项研究中, 我们根据房价将共享住宿平台上的房间分为经济型和豪华型, 并使用内容分析分析了在Xiaozhu上发布的 15,710 条在线评论。

我们发现消费者的期望因房间类型而异。 “房主”、“房间”、“交通与位置”、“价值”是消费者在两种房型中关注的四个共同话题。 “环境”和“客观条件”是经济型房消费者特别关注的焦点。然而, 消费者在入住豪华客房时, 更关心的是“美学”和“住宿目的”。这些结果反映了房价对消费者体验的影响。

这项研究是根据在线评论提供的证据比较不同价位客房的消费者体验的首批研究之一。潜在狄利克雷分配（LDA）分析用于从在线评论中提取潜在主题, 这提供了更令人兴奋的结果。我们的研究从期望理论的角度对消费者体验进行了全面的理解, 丰富了以往关于共享住宿平台的研究。

The increased utilization of artificial intelligence-enabled applications (AI-ETs) across the customer journey has transformed customer experience (CX), introducing entirely new forms of the concept. This paper aims to explore existing academic research on the AI-enabled customer experience (AICX), identifying gaps in literature and opportunities for future research in this domain.

A systematic literature review (SLR) was conducted in March 2022. Using 16 different keyword combinations, literature search was carried across five databases, where 98 articles were included and analysed. Descriptive analysis that made use of the Theory, Characteristics, Context, Methods (TCCM) framework was followed by content analysis.

This study provides an overview of available literature on the AICX, develops a typology for classifying the identified AI-ETs, identifies gaps in literature and puts forward opportunities for future research under five key emerging themes: definition and dynamics; implementation; outcomes and measurement; consumer perspectives; and contextual lenses.

This study establishes a fresh perspective on the interplay between AI and CX, introducing the AICX as a novel form of the experience construct. It also presents the AI-ETs as an integrated and holistic unit capturing the full range of AI technologies. Remarkably, it represents a pioneering review exclusively concentrating on the customer-facing dimension of AI applications.

随着人工智能应用程序 (AI-ET)在旅途中的使用不断增加, 消费者体验 (CX)得以转变, 引入了全新的概念形式。 本文旨在探索有关人工智能客户体验（AICX）的现有学术研究, 从中找出文献中的空白以及该领域未来研究的机会。

本系统性文献综述（SLR）于2022 年 3 月开工。基于16 个不同的关键词组合, 本综述统共收录并分析了来自 5 个数据库98 篇文献, 采用理论-特征-背景-方法 (TCCM) 框架先后进行描述性分析和内容分析。

该研究概述了 AICX 的现有文献, 开发了对已识别的 AI-ET 进行分类的类型学, 确定了现有文献中的空白, 并在 5 个关键新兴主题下提出了未来研究的机会：1. 定义和动态, 2 . 实施, 3. 结果和衡量, 4. 消费者视角, 5. 情境视角。

本研究建立了全新的视角看待 AI 和 CX 之间的相互作用, 引入了 AICX 这种新颖的体验构造形式, 还将 AI-ET 展示为一个集成了全方位人工智能技术的整体单元。 值得一提的是, 本文代表了一项专门关注人工智能应用面向客户维度的开创性综述。

La creciente utilización de aplicaciones habilitadas por inteligencia artificial (AI-ET) a lo largo del recorrido del cliente han transformado la experiencia del cliente (CX), introduciendo formas totalmente nuevas del concepto. Este artículo pretende explorar la investigación académica existente sobre la experiencia del cliente a través de la IA (AICX), identificando las lagunas en la literatura y las oportunidades para futuras investigaciones en este ámbito.

En marzo de 2022 se llevó a cabo una revisión bibliográfica sistemática (SLR). Utilizando 16 combinaciones diferentes de palabras clave, se realizó una búsqueda bibliográfica en 5 bases de datos en las que se incluyeron y analizaron 98 artículos. El análisis descriptivo que hizo uso del marco Teoría, Características, Contexto, Métodos (TCCM) fue seguido del análisis de contenido.

El estudio ofrece una visión general de la bibliografía disponible sobre la AICX, desarrolla una tipología para clasificar las AICX detectadas, identifica lagunas en la literatura y plantea oportunidades para futuras investigaciones bajo cinco temas emergentes claves: 1. Definición y dinámica, 2. Implementación, 3. Resultados y medición, 4. Perspectivas del consumidor, 5. Lentes contextuales.

El estudio establece una nueva perspectiva sobre la interacción entre la IA y la CX, introduciendo la AICX como una forma novedosa del constructo experiencia. También presenta las AICX como una unidad integrada y holística que capta toda la gama de tecnologías de la IA. Notablemente, representa una revisión pionera que se concentra exclusivamente en la dimensión orientada al cliente de las aplicaciones de la IA.

This study, grounded in the SOR theory, aims to enrich the understanding of customer citizenship behaviour in omnichannel fashion retail by examining how different customer experiences enhance customer engagement and how that engagement leads to customer citizenship behaviour. The influence of return policies on the relationship between customer engagement and customer citizenship behaviour was also examined.

Partial least squares structural equation modelling (PLS-SEM) is used to examine the framework of the proposed study with data collected through a survey (n = 251) to examine the opinions of the respondents about the variables mentioned. The authors also assessed the proposed framework using predictive power assessment using PLS predict.

The study results reveal that customers’ experiences of integration and flexibility in omnichannel retail are positively associated with their engagement. However, customer experiences of connectivity, consistency and personalization do not appear to affect customer engagement significantly in omnichannel retail. The return policy positively moderates the relationship between customer engagement and customer citizenship behaviour in the omnichannel fashion retail context. Predictive power assessment shows that the proposed model has high prediction accuracy.

This study contributes to the marketing literature by investigating different dimensions of consumer experience collectively and its impact on customer engagement and citizenship behaviour. Furthermore, the study contributes to omnichannel retail in fashion industry by testing the return policy as a moderator variable on the relationship between customer engagement and citizenship behaviour.

Este estudio, basado en la teoría SOR, enriquece la comprensión del comportamiento cívico del cliente en el comercio minorista de moda omnicanal examinando cómo las diferentes experiencias del cliente mejoran el compromiso de éste y cómo dicho compromiso conduce al comportamiento cívico del cliente. También se examina la influencia de las políticas de devolución en la relación entre el compromiso del cliente y el comportamiento ciudadano del cliente.

Se utilizó la modelización PLS-SEM para examinar el marco del estudio propuesto con datos recogidos mediante una encuesta (n = 251) para examinar las opiniones de los encuestados sobre las variables mencionadas. Los autores también evaluaron el marco propuesto mediante una evaluación del poder predictivo utilizando la predicción PLS.

Los resultados revelan que las experiencias de integración y flexibilidad de los clientes en el comercio minorista omnicanal se asocian positivamente con su compromiso. Sin embargo, las experiencias de los clientes de conectividad, coherencia y personalización no parecen afectar significativamente al compromiso del cliente en el comercio minorista omnicanal. La política de devoluciones modera positivamente la relación entre el compromiso del cliente y el comportamiento ciudadano en el contexto del comercio minorista de moda omnicanal. La evaluación del poder predictivo mostró que el modelo propuesto tenía una alta precisión de predicción.

El estudio contribuye a la literatura de marketing investigando colectivamente diferentes dimensiones de la experiencia del consumidor y su impacto en el compromiso del cliente y el comportamiento ciudadano. Además, este estudio contribuye a la venta minorista omnicanal en la industria de la moda al probar la política de devoluciones como variable moderadora de la relación entre el compromiso del cliente y el comportamiento ciudadano.

本研究以 SOR 理论为基础, 通过研究不同的顾客体验如何提高顾客参与度, 以及顾客参与度如何推动顾客公民行为, 丰富了对全渠道时尚零售中顾客公民行为的理解。研究还探讨了退货政策对顾客参与和顾客公民行为之间关系的影响。

本文采用 PLS-SEM 模型来检验拟议的研究框架, 并通过调查（n = 251）收集数据, 以检验受访者对上述变量的看法。作者还通过使用 PLS 预测评估预测能力, 对提出的框架进行了评估。

通过调查（n = 251）收集的数据, 使用 PLS-SEM 模型来研究拟议的研究框架, 以考察受访者对上述变量的看法。作者还通过使用 PLS 预测评估预测能力, 对提出的框架进行了评估。

研究结果表明, 顾客在全渠道零售中对整合性和灵活性的体验与他们的参与度呈正相关。然而, 顾客在连通性、一致性和个性化方面的体验似乎并未对顾客参与全渠道零售产生显著影响。退货政策对全渠道时尚零售中顾客参与和公民行为之间的关系起到了积极的调节作用。 预测能力评估表明, 所提出的模型具有较高的预测准确性。

本研究通过对消费者体验的不同维度及其对顾客参与和公民行为的影响进行综合研究, 为营销文献做出了贡献。此外, 本研究通过检验退货政策作为顾客参与和公民行为之间关系的调节变量, 为时尚行业的全渠道零售做出了贡献。

This study aims to investigate the impact of the speed of change (trend) in information technology (IT) expenditures on performance risk indicated by revenue volatility in the US hotel industry.

To systematically investigate the impacts of IT expenditures on hotel performance risks, this study collects the same store proprietary data of 1,471 hotel properties from CBRE, a leading hotel consulting firm in the USA, from 2011 to 2017, with a total of 10,297 observations.

Econometric analyses are performed and results indicate a significant and positive impact of the speed of change of IT systems expenditures on the performance risk after comprehensively controlling for confounding factors following prior research.

With the increased importance of IT in day-to-day activities, hospitality business owners have started to quickly adjust their investment in IT infrastructure and superstructure to enhance their business performance. However, their fast-changing expenditures may introduce more risks to their businesses based on the speed–accuracy tradeoff, systems theory and the Schumpeterian Growth Model. This study is one of the pioneer projects that ever assessed the impact of IT expenditure and speed of change on performance risks of hotels.

科技创新（TBI）在酒店业提高消费者体验的实践中属于首选方法。了解哪些影响消费者接受酒店TBI的因素至关重要。本论文假设, 除了常用的科技接受模型以外, 消费者对科技的态度会影响到TBI接受度。

本论文开发了一个关于对科技的态度作用于TBI的模型, 并邀请受访者观看在一家行业尖端的连锁酒店中采用无钥匙登记流程的VCR, 然后完成调研问卷。本论文采用科技接纳量表TAP来衡量消费者对科技的态度。

科技态度对酒店订房意图, 作为消费者接受酒店TBI接受度的代表, 有很大的影响。然而, 科技态度只通过信任和好奇感两个中介变量来实现订房意图。

研究结果提供有用见解, 鼓励酒店通过介绍TBI服务积极增强消费者对科技的态度。

大多数研究电子商务接受度的文章往往专注在消费者使用产品或服务的态度变化或者情感倾向。相反, 本论文研究消费者对科技的态度作用于消费者接受酒店TBI服务的态度。本论文证明了对科技的态度显著影响了酒店TBI服务接受度。此外, 本论文还提供实践证明采用TAP量表来研究TBI服务的文章。

Technology-based innovation (TBI) is a primary approach across the hospitality industry to improve customer experience. It is essential to know the critical factors that affect consumers’ acceptance of hotels’ TBI. The effect of consumers’ attitudes toward technology is hypothesized to affect the acceptance of TBI besides commonly used technology acceptance models.

A model of attitudes toward technology influence on TBI was constructed and tested by inviting participants to watch a video of a keyless check-in process of a leading hotel chain and then completed a questionnaire. The attitudes toward technology were measured using the technology adoption propensity (TAP) scale.

Attitudes toward technology strongly affect the hotel’s booking intention (BI) used as a proxy for consumers’ acceptance of hotels’ TBI. However, attitudes toward technology can only influence BI through the mediating variables of trust and curiosity.

The findings provide useful insights, encouraging hotels to positively enhance consumers’ attitudes toward technology when introducing TBI services.

Most research on the acceptance of e-commerce technology focuses on consumers’ resulting attitudes or emotions using the products or services. In contrast, this study investigates the effect of consumers’ attitudes toward technology on accepting hotels’ TBI service. The study demonstrated that attitudes toward technology substantially impact the acceptance of hotels’ TBI service. Furthermore, the study provides empirical support on the use of the TAP scale in complex TBI services.

科技创新（TBI）在酒店业提高消费者体验的实践中属于首选方法。了解哪些影响消费者接受酒店TBI的因素至关重要。本论文假设, 除了常用的科技接受模型以外, 消费者对科技的态度会影响到TBI接受度。

本论文开发了一个关于对科技的态度作用于TBI的模型, 并邀请受访者观看在一家行业尖端的连锁酒店中采用无钥匙登记流程的VCR, 然后完成调研问卷。本论文采用科技接纳量表TAP来衡量消费者对科技的态度。

科技态度对酒店订房意图, 作为消费者接受酒店TBI接受度的代表, 有很大的影响。然而, 科技态度只通过信任和好奇感两个中介变量来实现订房意图。

研究结果提供有用见解, 鼓励酒店通过介绍TBI服务积极增强消费者对科技的态度。

大多数研究电子商务接受度的文章往往专注在消费者使用产品或服务的态度变化或者情感倾向。相反, 本论文研究消费者对科技的态度作用于消费者接受酒店TBI服务的态度。本论文证明了对科技的态度显著影响了酒店TBI服务接受度。此外, 本论文还提供实践证明采用TAP量表来研究TBI服务的文章。

This study aims to explore the antecedents of perceived value and the moderating effect of trust and the relationship between these antecedents and perceived value in the context of the service sector.

The multivariate statistical analysis technique of structural equation modeling was used to test the proposed theoretical model.

The results indicate that self-efficacy, motivation, social influence, facilitating conditions and emotions have a significant and direct relationship with customers’ perceived value and that trust can enhance the effect of these antecedents on perceived value. These findings have several significant implications for service robot implementation within the service sector.

With the advancement in artificial intelligence and sensor technology, various industries have launched the practice of deploying intelligent robots to build competitive advantages. The use of intelligent robots to assist with the customer service process and improve consumers’ experience within the service sector is becoming more commonplace.

本论文旨在研究服务业中决定感知价值以及哪些中介变量调节感知价值决定因子和感知价值之间的关系。

本论文采用多变量SEM法分析提出的理论模型。

研究结果表明, 自我效能、动机、社会影响、辅助条件、以及情感对消费者感知价值有直接且显著的影响, 此外, 信任对于其影响因子对感知价值的关系有增强作用。本论文研究结果对服务型机器人在服务业中的应用有着很大的启示。

随着人工智能和感应科技的发展, 很多产业都开始应用智能机器人来增强竞争力。使用智能机器人来辅助消费者服务过程以及提高服务体验感受越来越成为普遍。

This paper aims to explore the use of websites by tourist ports to assess whether they support ports in communicating their image and provide information and services to actual and potential customers.

An analysis of 129 tourist ports websites from ten Mediterranean countries was conducted using the 2QCV3Q model, a multi-purpose qualitative evaluation tool based on experts’ judgments.

The findings show that tourist ports’ websites are typically beautiful and well-managed, give ports a clear image and link them with the local territory; however, sample websites are only partially user-friendly, offer limited room for interaction and fail to provide all the expected information and services to the visitors.

This research provides an unprecedented picture of the use and quality of websites by tourist ports located in the Mediterranean Sea and offers a robust and exhaustive assessment tool that might be of interest to researchers. The tool might also help managers of tourist ports to improve their websites by making them more business- and customer-oriented.

本论文旨在研究旅游港口网站, 以评估其宣传港口形象和为现有和未来游客提供信息和服务的支持。

研究样本是来自10个地中海国家的129家旅游港口网站。本论文以专家评估为依据, 采用2QCV3Q模型和多目的定性评估工具来进行样本分析。

研究结果表明旅游港口网站一般都具有美丽和规范管理的特点, 为旅游港口树立一个清洁形象, 并展示当地地理环境；然而, 样本网站只是具备些许用户友好界面, 很少有很好的交互特性, 因此不能很好地为游客提供所需的信息和服务。

本论文提供了一个前所未有在地中海区域旅游港口网站使用和质量评估报告, 并且提出了一个强有力的评估工具, 这对于学术研究有着显著意义。这个评估工具还能帮助旅游港口经营者通过改善网站的商业体验和消费者体验来提高其网站的各种特性。

海洋旅游, 旅游港口, 海洋管理, 网站营销, 网站评估, 网站质量

研究论文