Journal ArticleDOI
Managing the experience co-creation process in tourism destinations: Empirical findings from Naples
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In this paper, the authors investigated the main antecedents and consequences of experience co-creation in tourism and found that the attitude of tourists of sharing their experiences with others does not influence experience-co-creation.About:
This article is published in Tourism Management.The article was published on 2017-10-01. It has received 192 citations till now. The article focuses on the topics: Tourism geography & Tourism.read more
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Not always co-creation: introducing interactional co-destruction of value in service-dominant logic
Loïc Plé,Ruben Chumpitaz +1 more
TL;DR: This study is apparently the first to have introduced the notion of value co‐destruction into the conceptual framework of S‐D logic, showing that value can be co‐destroyed through the interactions between different systems, resulting in value destruction‐through‐misuse.
Journal ArticleDOI
Technological disruptions in services: lessons from tourism and hospitality
Dimitrios Buhalis,Tracy Harwood,Vanja Bogicevic,Giampaolo Viglia,Srikanth Beldona,Charles F. Hofacker +5 more
TL;DR: In this article, the authors explore critical technological advancements using a value co-creation lens to provide insights into service innovations that impact ecosystems, and identify three areas of likely future disruption in service experiences: extra-sensory experiences, hyper-personalized experiences and beyond-automation experiences.
Journal ArticleDOI
Customer-to-customer co-creation practices in tourism: Lessons from Customer-Dominant logic
TL;DR: The authors explored specific customer-to-customer (C2C) co-creation practices and related value outcomes in tourism and highlighted the importance of value formed when tourists cocreate with each other in tourism settings.
Journal ArticleDOI
Value co-creation and customer citizenship behavior
Ioannis Assiouras,George Skourtis,Antonios A. Giannopoulos,Dimitrios Buhalis,Michalis Koniordos +4 more
TL;DR: In this article, the authors explore the association between value co-creation and the willingness to engage in customer citizenship behavior in the hospitality and tourism context and investigate the causal relationship between the dimensions of value cocreation (co-production and value-in-use) and customer citizenship behaviour.
Journal ArticleDOI
Tourist loyalty in creative tourism: the role of experience quality, value, satisfaction, and motivation
TL;DR: The authors examines tourist loyalty in creative tourism comprising of experience quality, perceived value, satisfaction, and motivation as its antecedents and assesses the mediation role of motivators in the tourism industry.
References
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Journal ArticleDOI
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Claes Fornell,David F. Larcker +1 more
TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
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Multivariate Data Analysis
TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
Journal ArticleDOI
Multivariate data analysis
TL;DR: This chapter discusses Structural Equation Modeling: An Introduction, and SEM: Confirmatory Factor Analysis, and Testing A Structural Model, which shows how the model can be modified for different data types.
Journal ArticleDOI
On the evaluation of structural equation models
Richard P. Bagozzi,Youjae Yi +1 more
TL;DR: In this article, structural equation models with latent variables are defined, critiqued, and illustrated, and an overall program for model evaluation is proposed based upon an interpretation of converging and diverging evidence.
Book
A primer on partial least squares structural equation modeling (PLS-SEM)
TL;DR: The Second Edition of this practical guide to partial least squares structural equation modeling is designed to be easily understood by those with limited statistical and mathematical training who want to pursue research opportunities in new ways.