Online travel behaviour across cohorts: <scp>T</scp>he impact of social influences and attitude on hotel booking intention

Confente, Ilenia; Vigolo, Vania

doi:10.1002/jtr.2214

Cited by 49 publications

(41 citation statements)

References 93 publications

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“…In Australia and the USA, the majority of millennials own at least one account on a social networking site, with social media permeating their social life (Schewe et al, 2013). Furthermore, online shops and social media influence millennials in their purchase decision (Ladhari et al, 2019), such as brand and product information search (Bento et al, 2018), purchase intention (Confente and Vigolo, 2018) and information sharing when purchasing a product (Dabija et al, 2018;Siddiqui et al, 2019). The heavy usage of the internet and social media characteristics, thus, make this generation a desirable market for e-commerce (Wu, 2003).…”

Section: The Millennial Cohortmentioning

confidence: 99%

Understanding online shopping behaviours and purchase intentions amongst millennials

Dharmesti

Dharmesti²,

Kuhne

et al. 2019

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Purpose The purpose of this paper is to examine online purchase behaviours amongst young consumers in Australia and the USA. It also aims to develop and test a theoretical framework of young consumers’ online purchase behaviour. Design/methodology/approach Data were collected through online surveys targeting young online shoppers in Australia and the USA. A multi-group structural equation modelling was used to test the proposed structural model and hypotheses. Findings The model shows a good fit with the data. Young consumers in Australia and the USA have positive attitude towards online shopping that significantly affects their online purchase intentions. Social motive negatively impacts online purchase intentions in the Australian sample. Escapism and value motives positively affect Australian and American young shoppers’ online purchase intentions. Young consumers in Australia and the USA are very familiar with the online shopping process. The familiarity strongly triggers their information search behaviour that leads to online purchase intentions. Practical implications The results of this paper assist the marketers and policy makers to target and appeal to this young segment, based on their unique motivations, values and characteristics. Originality/value Using the generational cohort theory, this paper contributes to the extant literature by providing insights on the Australian and American young generation’s unique values and characteristics that influence their online purchase behaviours. This research also contributes insights for the marketers and policy makers to improve their marketing efforts and services and appeal to this young segment, based on their unique values and characteristics.

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Section: The Millennial Cohortmentioning

confidence: 99%

Understanding online shopping behaviours and purchase intentions amongst millennials

Dharmesti

Dharmesti²,

Kuhne

et al. 2019

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show abstract

“…Word of mouth describes communication about products and services that are independent of the business itself (Silverman, ) and is a consequence perceived to be a more trustworthy and honest review of the quality of services and products. According to Confente and Vigolo () with the huge amount and multiplicity of information available online, people may result into trusting individuals considered to be experts on or at familiar with an issue being discussed online. Traditionally, word of mouth explains communication between two people, but the internet, and Web 2.0 in particular, has enabled word of mouth marketing to become global (Chatterjee, ), ubiquitous (Jalilvand & Samiei, ), and impactful (Mayzlin, ).…”

Section: Literature Reviewmentioning

confidence: 99%

Prosuming tourist information:Asking questions onTripAdvisor

Oriade

Robinson

2018

Journal of Tourism Research

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This paper aims to improve our knowledge regarding types of queries raised by travellers on digital platforms by developing a model that helps in identifying and classifying such queries. Qualitative data collection and analysis of questions and answer postings of visitors on TripAdvisor forum of 10 U.K. destinations were used. Extracted data were analysed using NVivo11. Preliminary analysis identified basic themes in tourist information search. Further analysis indicated that two principal factors help in classifying online travel queries facilitating the development of the WOLF model. Findings in this study also indicate some practical implications and areas of further study.

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“…The importance of the Internet has grown significantly during the last decade in the field of tourism (Confente and Vigolo, 2018;Navío-Marco et al, 2018). During the last few years, the Internet also became a valuable information source not just in the pre-trip planning phase but also during the trip and for sharing information after the trip (Kang et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Analysis of Sources for Information Gathering before Visiting a Festival in the Case of Generation Z

Iványi

2021

Period. Polytech. Soc. Man. Sci.

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In recent years, festivals have become an essential part of summer activities for many members of Generation Z. Programs that last several days also mean significant financial burden for young people, so they gather information from multiple sources before decision-making. The purpose of the study is to examine which information sources – especially social media – and which motivations have become significant in the context of festival tourism's decision process.An online survey was conducted as part of and exploratory research over four consecutive years dealing with the use of information sources and the importance of the music festivals' characteristics targeting the Hungarian Generation Z attendees of festivals. Besides the descriptive statistics cluster analysis and ANOVA tables were used.It can be emphasized that in the case of festival tourism, the influence and usage of social media, relying on the opinions of acquaintances and friends is much more significant in the decision-making phase than in the case of traditional tourism. The program and the leading performers are not the only important factors, but meeting friends, the atmosphere of the festival, and reasonable value for money are also significant. Three groups of users could be identified: those who are mainly browsing official websites and search engines, those who try to make decisions based on earlier experiences, and those who are also looking at social media sites and digest several types of content to make the decision. Organisers of festivals should understand the differences among these groups to create better communication strategies.

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Online travel behaviour across cohorts: The impact of social influences and attitude on hotel booking intention

Cited by 49 publications

References 93 publications

Understanding online shopping behaviours and purchase intentions amongst millennials

Understanding online shopping behaviours and purchase intentions amongst millennials

Prosuming tourist information:Asking questions onTripAdvisor

Analysis of Sources for Information Gathering before Visiting a Festival in the Case of Generation Z

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