How does <scp>ICT</scp> influence residents' attitudes towards tourism as a driver of development? A generalised ordered logistic regression analysis

Lucia, Caterina De; Pazienza, Pasquale; Balena, Pasquale

doi:10.1002/jtr.2473

Cited by 13 publications

(11 citation statements)

References 139 publications

(187 reference statements)

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“…As perceived by German tourism experts, implementing AR adds value to the marketing, economy, tourists, epistemic and organizations of a destination (Cranmer et al, 2020). Italian local residents, which is another level of smart tourism stakeholder (Buhalis and Amaranggana, 2014), also agree that ICT can drive the tourism development of a destination (De Lucia et al, 2021).…”

Section: Research From the Suppliers' Perspectivementioning

confidence: 99%

A critical review of smart hospitality and tourism research

Law¹,

Ye²,

Chan

2021

IJCHM

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Purpose This study aims to build a comprehensive knowledge structure of smart hospitality and tourism research. Design/methodology/approach Content analysis is carried out on the themes of pertinent research from the perspectives of customers, suppliers, technology and policymakers. Findings Results show that over half of the reviewed articles are carried out from the perspective of customers, while those of suppliers, technology and policymakers are less discussed. The unbalanced number of articles reveals an evident mismatch between the supply and demand. Practical implications Findings provide theoretical and practical implications from different perspectives. Collaboration among various stakeholders is also advocated to achieve sustainable and balanced development of the smart hospitality and tourism industry. Originality/value This study contributes to smart hospitality and tourism research through an in-depth review of relevant literature. Based on the findings, the identified research gaps provide potential directions for future knowledge development.

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Section: Research From the Suppliers' Perspectivementioning

confidence: 99%

A critical review of smart hospitality and tourism research

Law¹,

Ye²,

Chan

2021

IJCHM

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“…However, other studies have discussed this context from the tourists' point of view (Kamboj and Joshi, 2021). Finally, the attitude of residents has also been assessed in other studies De Lucia et al (2021), Pencarelli (2020) as a driver of regional development and the impact of digital technologies. Another relevant topic is experience.…”

Section: Co-creation Of Value In Smart Ecosystemsmentioning

confidence: 99%

Co-creation of value in smart ecosystems: past trends and future directions in tourism literature

Díaz

Talaya

Koutra

et al. 2023

JHTT

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Purpose This study aims to present a general approach for understanding and analyzing the thematic evolution of the concept of co-creation in smart environments within the tourism context. Design/methodology/approach This study performs a co-word analysis with a longitudinal framework that produces strategic diagrams to categorize the detected themes and concepts related to co-creation. Findings By combining the performance analysis of science mapping, the following clusters are distinguished: information technology, social media and behavior; tourism organizations, management and innovation; co-creation, technology and sharing economy; co-production and hospitality; and Smart tourism, destinations, sustainability and residents. Originality/value This study provides a valuable tool for tourism scholars and managers to effectively analyze the importance of different themes linked to co-creation in the concept of the smart environment. This research outlines the evolving issues in and around the touchpoints and associated emerging research topics for future research.

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“…However, because our dependent variable was limited and discrete, the use of ordinary least squares could be inappropriate (Greene, 2003). Following similar cases in the tourism literature (Bujosa & Rosselló, 2007; De Lucia et al, 2021; Hu & Yang, 2021), it was necessary to appeal to the ordered discrete choice models that have been developed to produce efficient estimations within this context. Hence, ordered logistic regression was further adopted in this study, and SPSS26.0 and Stata16.0 software were used for the data analysis.…”

Section: Case Study Description and Samplingmentioning

confidence: 99%

An assessment of the factors influencing loyalty among active sport event tourists: The case of Mallorca 312 in Spain

Jin

Zhou

Nadal

2022

Journal of Tourism Research

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Tourist retention and boosted tourist loyalty are fundamental factors for sport event marketing. Using multiple linear and ordered logistic regression methods, this study examined factors that affected loyalty among active sport event tourists. The results revealed: (a) satisfaction had the greatest impacts on loyalty, with its effect on word-of-mouth recommendations outweighing re-participation; (b) service quality and relationship investment quality directly affected loyalty, especially word-of-mouth recommendations, while social network quality did not; (c) pull factors and some socio-demographic and behavioral characteristics also influenced loyalty. Findings in this study are important references for the sustainable development of sport event tourism, offering useful guidelines.

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How does ICT influence residents' attitudes towards tourism as a driver of development? A generalised ordered logistic regression analysis

Cited by 13 publications

References 139 publications

A critical review of smart hospitality and tourism research

A critical review of smart hospitality and tourism research

Co-creation of value in smart ecosystems: past trends and future directions in tourism literature

An assessment of the factors influencing loyalty among active sport event tourists: The case of Mallorca 312 in Spain

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