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The purpose of the present study was to investigate the interrelationships among the dimensions of sport event experience, event satisfaction and event behavioral intentions.

The sample was comprised of 186 individuals who actively participated in a mass participation sport event. Partial least squares-structural equation modeling (PLS-SEM) was employed to test the relationships among the latent constructs.

The results indicated that the dimensions of sport event experience predicted 55% of the variance of event satisfaction and 63% of the variance of event behavioral intentions was predicted by sport event experience dimensions and event satisfaction. Specifically, the sensory, affective and relational dimensions of experience sought to have a statistically significant and positive association with event satisfaction, while event satisfaction and the relational dimension of experience were found to have a statistically significant and positive correlation with event behavioral intentions. In addition, event satisfaction was found to mediate the relationships between sensory, affective and relational experiences and event behavioral intentions.

The present study is one of the first that explores the relationships among sport event experience’s dimensions, event satisfaction and positive behavioral intentions in the context of sport event participation.

Digitalization is revolutionizing the retail sector as today's consumers prefer a seamlessly integrated, fluid and irritation-free shopping experience enhanced with artificial intelligence (AI)-powered technologies. Literature highlights gaps in the understanding of the shopping experience in an omnichannel context, involving aesthetic, cognitive and affective experience dimensions. This research highlights the direct effects and the mechanism triggered in the presence of such device.

A sample of 259 consumers was interviewed at the point of sale. Data have been collected after a shopping experience in two concept stores belonging to the same fashion brand: (1) not equipped with AI-powered technology and (2) equipped with these tools. The measurement scales were validated through ANCOVA analysis and causal relationship analysis with structural equation modeling.

The results show that the presence of an in-store AI-powered technologies in a connected store generates a higher aesthetic reaction when visiting the store, a higher absorption when shopping through the flow and a higher intent to purchase. The authors further investigate the underlying mechanism triggered by the presence of this technology, which enables the authors to outline their consequences regarding purchase intention.

The study, conducted within an actual connected store in France, explores the impact of AI technology in connected retail environments on consumer responses. It is an early research in this field, shedding light on a rarely explored area. The authors’ research addresses a significant gap, providing insights into AI-driven retail experiences.

The purpose of the present research is to address the issue by conceptualizing artificial intelligence (AI) experience quality and its dimensions, and furthermore, to empirically test the relationships among AI experience quality, positive affective reactions, AI experience satisfaction and AI-seeking intention.

The data were collected from an AI community canteen in Shanghai. They were also analyzed using exploratory and confirmatory factor analyses (EFA and CFA) and structural equation modeling (SEM).

Four primary dimensions and 15 sub-dimensions of AI experience quality for community canteens were identified. The hypothesized paths between the higher-order constructs – AI experience quality, positive affective reactions, AI experience satisfaction and AI-seeking intention – were confirmed as well.

This is the first study to synthesize AI experience quality, positive affective reactions, AI experience satisfaction and AI-seeking intention in an AI restaurant setting.

The purpose of this study is to examine the impact of experience dimensions on the engagement in pro-environmental behaviour (PEB) within nature-based tourism in China. The focus was on sustainable/responsible consumer behaviour by the Chinese Gen Z (18–26 years).

Firstly, a conceptual model was suggested, drawn on experiential marketing approach. Secondly, an empirical study (online survey) with a sample of 580 young persons was conducted and data were analysed using structural equation modeling (SEM).

It was revealed that the act and feel dimensions significantly influence experiential value (EV), and EV positively affects satisfaction, significantly impacting arousal and memory. Positive outcomes of experience impact Gen Z members’ engagement in PEBs. Furthermore, arousal and memory play a similar and partial mediating role between satisfaction and engagement in PEB.

The insights gained give support and guidance to tourism destinations and suppliers to promote environmentally friendly behaviour among tourists. This understanding is valuable and useful to industry practitioners in elaborating and implementing the appropriate strategies to stimulate, motivate and promote tourists’ PEB.

This study elaborates an integrative framework, drawn on a marketing approach and establishing a relationship between experiential dimensions and engagement in PEB through the mediating factors of perceived EV, satisfaction, memory and arousal. It provides tourism researchers with new perspective and insights on tourism experience and consumption behaviour.

本研究证实了体验维度对于中国自然旅游地游客的亲环境旅游行为(PEB)的影响。研究对象聚焦于中国Z世代(18 至26 岁)游客的亲环境行为。

本研究基于体验营销, 提出了一个概念模型, 对580名Z世代游客进行了实证研究(在线调查), 并采用结构方程模型（SEM）对数据进行分析。

结果表明, 行动维度和情感维度显著影响体验价值, 体验价值正向影响满意度, 满意度显著影响唤醒度和记忆。体验后的积极结果会影响Z世代游客的亲环境行为的参与。此外, 唤醒度和记忆在满意度和亲环境行为参与之间起平行的部分中介作用。

研究结果可为旅游目的地的管理者和从业者提供借鉴和参考, 以促进游客的环保行为。这对于旅游业从业者制定和采取恰当的策略来促进和激励游客的亲环境行为也具有重要意义。

本研究基于营销方法, 构建了一个整合框架, 并通过体验价值、满意度, 记忆和唤醒度等中介, 建构了体验维度和参与亲环境行为之间的关系, 拓展了旅游体验及消费行为的研究视角。

El propósito de este estudio fue examinar el impacto de las dimensiones de la experiencia en el comportamiento turístico proambiental (CTP) en el turismo de naturaleza en China, centrándose en el comportamiento sostenible y responsable de la Generación Z china (entre 18 y 26 años).

Se propuso un modelo conceptual basado en el enfoque del marketing experiencial. Posteriormente, se llevó a cabo un estudio empírico mediante una encuesta en línea a 580 jóvenes, y los datos obtenidos se analizaron utilizando SEM (Modelado de Ecuaciones Estructurales).

Se encontró que las dimensiones “actuar” y “sentir” tienen una influencia significativa en el valor experiencial, y este último impacta positivamente en la satisfacción, lo cual a su vez influye en la excitación y la memoria. Los resultados positivos de la experiencia turística tienen un efecto en el compromiso de los miembros de la Generación Z con el comportamiento turístico proambiental. Además, tanto la excitación como la memoria desempeñan un papel parcialmente mediador entre la satisfacción y el compromiso en el CTP.

Los conocimientos obtenidos en este estudio brindan apoyo y orientación a los actores del sector turístico para fomentar un comportamiento respetuoso con el medio ambiente entre los turistas y visitantes. Esta comprensión es valiosa y útil para los profesionales del sector al diseñar e implementar estrategias adecuadas que estimulen, motiven y promuevan el comportamiento turístico proambiental.

Este estudio presenta un marco integrador basado en el enfoque del marketing experiencial, estableciendo una relación entre las dimensiones experienciales y el compromiso en el CTP a través de factores mediadores como el valor experiencial percibido, la satisfacción, la memoria y la excitación. Proporciona a los investigadores del turismo una nueva perspectiva y conocimientos sobre la experiencia turística y el comportamiento de consumo.

The purpose of this paper is to examine and compare the in situ place experiences of people in Luton and Darlington.

The study used 109,998 geotagged tweets from Luton and Darlington between 2020 and 2022 and conducted topic modelling using latent Dirichlet allocation. Lexicons were created using GPT-4 to evaluate the eight dimensions of place experience for each topic.

The study found that Darlington had higher counts in the sensorial, behavioural, designed and mundane dimensions of place experience than Luton. Conversely, Luton had a higher prevalence of the affective and intellectual dimensions, attributed to political and faith-related tweets.

The study introduces a novel approach that uses AI-generated lexicons for place experience. These lexicons cover four facets, two intentions and two intensities of place experience, enabling detection of words from any domain. This approach can be useful not only for town and destination brand managers but also for researchers in any field.

This study aims to develop a practical and effective approach for market segmentation using customer experience dimensions derived from online reviews.

The research investigates over 6,500 customer evaluations of food establishments on Taiwan’s Yelp platform through the Latent Dirichlet allocation (LDA) data mining approach. By using the LDA-derived experience dimensions, cluster analysis discloses market segments. Subsequently, sentiment analysis is used to scrutinize the emotional scores of each segment.

Mining online review data helps discern divergent and new customer experience dimensions and sheds light on the divergent preferences among identified customer segments concerning these dimensions. Moreover, the polarity of sentiments expressed by consumers varies across such segments.

Analyzing customer attributes extracted from online reviews for segmentation can enhance comprehension of customers’ needs. Further, using sentiment analysis and attributes of online reviews result in rich profiling of the identified segments, revealing gaps and opportunities for marketers.

This research presents a new approach to segmentation, which surmounts the restrictions of segmentation methods dependent on survey-based information. It contributes to the field and provides a valuable means for conducting customer-focused market segmentation. Furthermore, the suggested methodology is transferable across different sectors and not reliant on particular data sources, creating possibilities in diverse scenarios.

This article aims to open the black box of the relationship between customer experience and customer satisfaction. The authors also take a fine-grained approach to the concept of customer experience analysis in terms of four dimensions: basic service experience (BSE), moments of truth (MT), focus on results (FR) and peace of mind (PM).

A total sample of 185 industrial customers in Spain was collected via an online platform from March to April 2020. The data were analysed using partial least squares-structural equation modelling (PLS-SEM).

The results indicated that the four dimensions of customer experience are the foundation of commercial success (i.e. customer satisfaction) for express parcel companies in the business-to-business (B2B) environment. Therefore, the most innovative express parcel companies should not only pay attention to providing services in accordance with the customer agreement but also go beyond that; hence, these companies must understand customer needs to be able to offer a unique experience. Therefore, these companies must design experiences that go beyond pure technical delivery services.

Although previous work has linked customer experience to customer satisfaction, there is little work that does so specifically in an industry as in vogue as express parcels and less so in the B2B environment. In addition, this work analyses fine-grained customer experience in terms of grain's four dimensions, and therefore, the authors analyse how each dimension (e.g. more rational or more subjective dimensions) impacts customer satisfaction. Few studies have focussed on this type of analysis for express parcel companies in the B2B environment.

The post-purchase behavioral responses of omnichannel shoppers, who mainly rely on physical stores (acknowledged as a crucial channel in providing a seamless shopping experience and fulfilling the dynamic needs of the shoppers), are still understudied. The purpose of this paper is to examine how integrated store service quality (ISSQ) can contribute to a more optimal shopping experience (cognitive, affective and relational) and have a subsequent impact on shoppers’ psychological ownership toward the store, resulting in the generation of (face-to-face, online and social media) word of mouth (WOM).

The research is descriptive, quantitative and cross-sectional investigation. A purposive sampling technique was used for selecting the study respondents. The data were collected from 786 Indian omnichannel shoppers using a validated self-administered questionnaire. The proposed conceptual model was tested using partial least squares structural equation modeling.

The results indicate that all three dimensions of omnichannel customer experience (cognitive, affective and relational) positively mediate the relationship between ISSQ and psychological ownership, subsequently impacting all three WOM behaviors of omnichannel shoppers (face-to-face, online store and social media). The customer’s perceived value with the store and their perceived retailer relationship investment significantly moderated the relationship between ISSQ and different WOM behaviors (face-to-face, online store and social media). This research also demonstrated the direct impact of ISSQ on WOM and the indirect impact through different customer experience dimensions and psychological ownership.

The sample used in the study was not probabilistic and, therefore, presents limitations for the possibility of generalizing the results. The study was performed in a cross-sectional methodology in the Indian context; there is a need for longitudinal investigation.

This study addresses the need to investigate different dimensions of omnichannel customer experience that might influence various post-purchase behavioral responses. This study is the first to show that ISSQ might affect omnichannel shoppers' online, offline and social media word-of-mouth behaviors through different customer experience dimensions and the customer’s sense of belongingness to the store. The moderating effect of customer perceived value with the retailer and their perception of retailers’ investment in a relationship on proposed hypotheses was also tested to give managerial recommendations.

The objective of this study is to analyze the experiences in wine tourism according to narratives shared by the visitors themselves. Furthermore, this study aims to examine the levels of intensity associated with these experiences within a wine destination, considering the segmentation of visitors.

This study uses a mixed-methods approach to analyze data, incorporating a deductive process followed by content analysis. Data collection procedures include a bibliographic review and a data survey conducted through netnography research to analyze 954 visitor reviews on TripAdvisor shared by visitors to Vale dos Vinhedos. Also, statistical analysis is performed to assess whether there are any significant variations in attribute citations among different market segmentation profiles.

The study’s discoveries indicate that there are no significant differences in intensity among profile segments for the dimensions of entertainment, aesthetics, educational and interactions, unlike escapism. The findings reveal that attributes such as “winery,” “wine,” “products and services” and “landscape” are essential for all visitors. In addition, the study shows that social interactions in the wine tourism destination are not as significant as previously assumed.

This research study constitutes a methodological advancement in the field of market segmentation using electronic word-of-mouth data. It provides crucial insights into the experiential nuances of the research locus and the varying degrees of these experiences in relation to visitor segmentation. Additionally, the contributions of this study are not only of theoretical importance but also hold practical implications for market segmentation strategies.

No study to date has addressed the construct of event tourist experience value and there is no well-accepted value measurement method. This study aims to examine the underlying dimensions of event tourist experience value from a holistic perspective.

The research process consists of two steps. First, the dimensions of event tourist experience value are investigated by using grounded theory and content analysis of travel blogs. The second step is to explore and verify the scale of event tourist experience value.

The items show that event tourist experience value can be comprehensively understood from three dimensions: functional value (functional factors); hedonic value (relaxation, escape, restoration and interaction); and symbolic value (social prestige, belonging and self-transcendence).

The findings are useful indicators explaining events attendance, and can help event organizers and destination managers to better understand the needs of tourists and design event experiences in a more sophisticated way.

This work integrates a series of varied events to suggest a holistic view of event tourist experience value, which provides a theoretical basis for other scholars to compare and monitor findings in this field.