Search results

This study aims to investigate the effects of smart tourism technology experience (STTE) on tourist satisfaction and happiness in Bordeaux, with a focus on understanding the mediating role of self-gratification. By examining these relationships, the study seeks to provide insights into how smart tourism technologies can enhance tourist experiences.

The study uses partial least squares-structural equation modeling (PLS-SEM) to analyze data collected from 380 tourists who visited Bordeaux. The measurement model assesses reliability and validity, while the structural model evaluates the proposed hypotheses and the mediation effects of self-gratification.

The results confirm that STTE positively impacts tourist satisfaction, with accessibility, informativeness and personalization significantly enhancing tourist satisfaction, while interactivity does not. Tourist satisfaction, in turn, positively affects tourist happiness. Furthermore, self-gratification partially mediates the relationship between tourist satisfaction and happiness, highlighting its importance in the smart tourism context.

This research extends the understanding of STTE by demonstrating its effects on tourist satisfaction and happiness. It introduces the mediating role of self-gratification, providing a novel perspective on how personalized smart tourism experiences contribute to overall tourist happiness.

This paper aims to answer questions pertinent to whether or not services provided by smart hotels are really what customers are looking for, as well as to ascertain what are some unintended experiences guests may encounter. In essence, to the best of the authors’ knowledge, this research is the first in the field to acknowledge the paradox of smart service.

This inquiry adopts a qualitative approach with data-driven from online customer reviews and semistructured interviews. Thematic analysis was undertaken to interpret review comments.

Results point to a new phenomenon, which is coined as the smartness paradox. In particular, customers on one hand enjoy an array of smart-infused experiences that jointly offer patrons a sense of a futuristic lifestyle. On the other hand, smart devices superimpose a number of hindrances that bring guests dismay and annoyance.

This investigation brings smart service failure to the fore to highlight several key failure themes that could jeopardize the entire operation with debased customers’ satisfaction and loyalty inclination.

The smartness-paradox framework used in the present inquiry entails both approach and avoidance consequences customers enact depending on their smart experiences.

This research clarifies the connotations and dimensions of artificial intelligence (AI) technology stimulation and establishes a stimulus scale to explain the relationship between AI technology stimuli and smart customer experience.

This is an empirical study that uses SPSS 24.0 software to perform hypothesis testing on the path relationships between model elements.

Two dimensions of AI technology stimuli (i.e. passion and usability) have a significant, positive impact on smart customer experience; the moderating effects of contrasting dimensions of technology readiness (i.e. optimism and discomfort) are significantly different; smart customer experience has a significant, positive impact on the word-of-mouth (WOM) intentions of consumers.

There are several limitations. Most importantly, the data collected in this study are only from consumers who use intelligent customer service robots in the catering industry. Future research can consider exploring relevant AI technologies in other sectors.

This study has several implications that guide catering companies to develop various positioning and strategies for remaining competitive effectively.

Based on arousal theory, customer experience theory and WOM marketing theory, this is the first novel research project that empirically discusses the dimensions of AI technology stimuli, smart customer experience and WOM intentions with regard to the moderating effect of the technology readiness of consumers toward AI technology.

The purpose of this paper is to offer a discussion, definition and comprehensive conceptualization of the smart service experience, i.e. the way guests and customers in hospitality and tourism experience and value the use of personalized and pro-active services that the intelligent use of data and technology enable.

Based on prior research on service experience, smart services and the differences between regular and smart services, this paper develops a conceptual framework in which the smart service experience is the central construct.

The characteristics of smart services (the intelligent, anticipatory, and adaptable use of data and technology) permit customers to experience services that previous conceptualizations of the service experience could not capture. The smart service experience provides empowerment, a seamless experience, enjoyment, privacy and security, and accurate service delivery. The paper also discusses challenges that service firms face in employing smart services, and proposes a future research agenda.

Both academics and practitioners expect smart services to revolutionize many industries such as tourism and hospitality. Therefore, research is needed to help understand the way customers experience smart services, what values they derive from them and the way service firms can employ them sensibly to enhance customers’ experiences.

This paper synthesizes insights from the literature on customer experience, smart services and co-creation into a conceptualization of the smart service experience, and distinguishes it from previous conceptualizations of regular services.

This study aims to investigate guests’ experience and perceptions in smart hotels, with a primary focus on the human−robot experience.

Utilizing a thematic analysis using the inductive-deductive approach, 546 reviews from Chinese smart hospitality guests, sourced from Ctrip, were examined.

This study identified five highest-level categories reflecting guests’ perceptions of smart hotels service with themes and subthemes of utilitarian gratification (smart servicescape and smart service quality), sensual gratification (novelty and coolness), social gratification (social presence and social interaction), experiential gratification (functional and emotional experiential value) and satisfaction.

This research enriches the current understanding of guests’ experience within smart hotels, focusing on the human−robot interaction. The findings offer insightful implications for the enhancement of smart hotels, specifically in terms of smart facility offerings, service delivery and overall customer experience.

本研究旨在调查顾客在智能酒店的体验和感知, 重点关注人机交互体验。

利用归纳-演绎方法进行主题分析, 对来自携程网的546份中国智能酒店客人评论进行了审查。

本研究确定了五个最高级别的类别, 反映了客人对智能酒店服务的感知, 涵盖了实用满足（智能服务环境和智能服务质量）、感官满足（新奇和酷炫）、社交满足（社交存在和社交互动）、体验满足（功能性和情感体验价值）和满意度的主题和子主题。

这项研究丰富了对智能酒店客人体验的当前理解, 重点关注人机交互。研究结果为智能酒店的提升提供了深刻的启示, 特别是在智能设施提供、服务交付和整体客户体验方面。

This article provides an in-depth understanding of customer experience with smart services, examines customer perceptual responses to smart and connected service environments and enriches this understanding by outlining how contextual factors (in terms of goals, activities, actors and artifacts) influence the customer experience.

This study adopts a qualitative approach in order to understand customer experience in the smart energy service setting. Semi-structured interviews and focus groups were conducted with 31 participants forming three groups of energy service customers: advanced smart energy (ASE) customers, electric mobility (EM) customers and high-consumption (HC) customers.

The findings show that customer experience with smart services involves a multidimensional set of perceptual responses, comprising specific smart service dimensions (e.g. controllability, visibility, autonomy); relationship dimensions (relationships with the service provider and with the community); and traditional technology-enabled service dimensions (e.g. ease of use, accessibility). The analysis of contextual factors such as goals, activities, actors and artifacts shows that smart services enable a more autonomous experience, wherein customers can integrate a myriad of actors and artifacts and expect the main service provider to support them in taking the lead.

Smart technologies have profoundly changed the service environment, but research on customer experience with smart services is scarce. This study characterizes smart services, provides an in-depth understanding of customer experience in this new context, and discusses relevant implications for management and service research.

Previous studies have considered customers' psychological responses to intelligent retail technology adoption, but have not considered how technology integration systems could promote the relationship between retailers and consumers. Based on the Stimulus–Organism–Response framework, this paper proposes a customer engagement model in a fully intelligent retail environment. The concept of the quality of intelligent experience is constructed from the perspective of customer experience, and the effect of the mechanism of smart retail on the customer engagement relationship is discussed.

Using two surveys, this study analyzes 201 (in study 1) and 321 (in study 2) questionnaires by using structural equation model in partial least square software.

The analysis shows that the human–machine interaction, intelligent systems and the product content of the quality intelligent experience significantly impact customer engagement on smart retail.

This research was designed for general retail products, without distinguishing between different product types. Thus, it did not consider the moderating effect of product types.

The findings enrich the intelligent retail technology field and provide operable guidance to help smart retailers improve customer relations.

This paper proposes a customer engagement model to describe how technology integration systems promote the relationship between retailers and consumers.

The hospitality industry has witnessed numerous changes to enhance the stay experience of guests. To offer a memorable stay experience, the industry has started deploying intelligent robots. Therefore, this case study aims to examine and explore artificial intelligence (AI) enabled robots in hospitality industry in order to enhance guest experience in a smart city.

Semistructured interviews have been conducted at Novotel Ambassador Seoul Dongdaemun Hotels and Residences, Seoul, South Korea, to understand the stay experience of guests regarding services offered by AI enabled robots. The authors have selected employees for interviews since employees listen and witness the guest experience directly. Out of 214 employees in the hotel with varied experience and background, 26 interviews are conducted.

Through a systematic approach of coding, the authors have identified that deploying AI enabled robots facilitates the automation, information gathering, personalization and seamless service in the hospitality industry of a smart city. Further, with a back-and-forth mapping mechanism based on epistemological principles, the authors made four propositions that lead to the development of a research framework.

The practicing managers of hospitality industry can employ AI enabled robots within the scope of improving and automating the processes that can also offer increased personalization to enhance the stay experience, which is expected in a smart city.

The study offers a unique contribution to literature, since it is a live case study, and the information is from the practicing employees of a well-known organization in a hospitality sector from a smart city (Novotel Ambassador Seoul Dongdaemun Hotels and Residences, Seoul, South Korea).

With the advancements of Internet of Things (IoT) and artificial intelligence (AI) in recent years, smart objects (SOs) have been widely applied in the lives of consumers to fulfill a variety of functions. This research aims to explore the new interaction experience between consumers and a smart speaker that can create the effect of customer engagement by enhancing the gendered voice and product smartness.

This study conducted a 2 × 2 × 2 between-subject experiment to validate the research model and the hypotheses.

The results indicate that a high level of interaction experience between the users and smart speaker devices increases customer engagement. Smart speaker devices that present female voices have a high product smartness, whereas high levels of interaction experience are more effective in customer engagement. Furthermore, the results also show a moderate effect of gendered voice and product smartness between the interaction experience levels and customer engagement.

This study contributes to the assemblage theory and the interaction experience levels between users and smart speaker devices in IoT. Based on the results, suggestions on enhancing the smartness ability and application services of new smart speaker devices are proposed. The findings of this study can promote a more continuous interaction between users and smart speakers.

This paper analyzes the direct and indirect effects of the autonomy of smart home speakers on consumer experience, weighing its benefits and costs in the following areas: usefulness, interactivity, coolness, service failure severity and intrusiveness. Experience value is examined as an antecedent of repurchase intention.

Structural equation modeling is applied to data collected from 607 users of smart home speakers. Mediating effects are examined between autonomy and experience value.

Autonomy has no direct effect on experience value, since the positive effect is fully mediated by interactivity, intrusiveness, perceived usefulness and coolness. Failure severity has no mediating effect and has no influence on experience value. Usefulness, coolness and interactivity show positive mediating effects between autonomy and experience value, while intrusiveness has a negative mediating effect. The better the consumer's experience response, the greater the repurchase intention.

Companies should highlight the benefits (interactivity, usefulness and coolness) and attempt to reduce the costs (intrusiveness) associated with smart device autonomy. Firms can use these aspects to increase the rate of smart-device adoption.

This research contributes to the interactive research literature by empirically examining the mediating effect of interactivity and coolness. Additionally, this research offers evidence of the full mediation effect of usefulness, interactivity, coolness and intrusiveness. Finally, this research shows that failure severity is not always important and that it can be context specific.