Use of social media across the trip experience: An application of latent transition analysis

Choe, Yeongbae; Kim, Jeongmi; Fesenmaier, Daniel R.

doi:10.1080/10548408.2016.1182459

Cited by 62 publications

(53 citation statements)

References 47 publications

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“…Notable behavioral characteristics of smart tourists when traveling distinguish the smart tourist segment from other groups in that: (1) smart tourists have more integrated use of smart devices throughout the entirety of their trip. (2) They use social media platforms to share experiences during the trip, such as live streaming and posting of real-time updates [29]. (3) They more frequently use hotel and destination websites and mobile applications to get the most up-to-date information before and during their trip [28].…”

Section: Smart Tourists' Environmentally Responsible Behaviormentioning

confidence: 99%

Determinants of Smart Tourist Environmentally Responsible Behavior Using an Extended Norm-Activation Model

2020

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The emergence of the smart tourism paradigm has shifted some research attention to the technologies that drive innovations. However, tourism destinations are not freed from the usual threats in the tourism industry. Environmental impacts have remained a fundamental concern for any destinations regardless of their adoption and incorporation of smart technologies. Tourists remain a critical source of harm inflicted on environmental systems. Thus, this present study aims to study smart tourists’ environmentally responsible behavior using an extended norm-activation model. The study model incorporates two new constructs measuring the involvement of culture and attitude towards cultural conservation as additional predictors of environmentally responsible behavior. A total sample of 554 is subjected to data analysis. The results support all proposed hypotheses. Both newly added constructs produce the largest total impact scores on the final construct. Model comparison between the study model and the original framework showed improved predictive ability while retaining superior fit.

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Section: Smart Tourists' Environmentally Responsible Behaviormentioning

confidence: 99%

Determinants of Smart Tourist Environmentally Responsible Behavior Using an Extended Norm-Activation Model

2020

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“…The use of Electronic word-of-mouth, (E-wom) has allowed Chinese consumers (as tourists and travellers) to alternatively connect [33]. This is done on SNSs where information diffusion is a complicated convoluted process, attracting researchers from many different disciplines as Choe, Kim and Fesenmaier elaborate [34]. Factors that influence users of SNSs are more than curiosity [35]; in all aspects of consumer platforms, user-generated content (UGC) is influenced by myriad motivations [36] and from various social media sites [37].…”

Section: Business Ecosystemsmentioning

confidence: 99%

“…Specific research of and understanding the motions (or perhaps 'touchpoints', as others define them [34]) within diarising travel in social media is the focus here in a specific tourism destination (WA) and one market (China). Tourist information diffusion along social media networks, tourist visiting action behaviour and tourism systems are observed in a temporal capacity.…”

Section: System Theory and Tourismmentioning

confidence: 99%

Tourism Information Diffusion through SNSs: A Theoretical Investigation

2020

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Social networking sites (SNSs) are known to have a role in promoting tourism and influencing how it is marketed to consumers, but there seems to be few deep analyses of SNS’s efficacy in tourists’ decision making and destination promotion. To address this, we present Tourism Information Diffusion Ecosystem (TIDE), a novel theoretical framework to help understand this system of tourism SNS information diffusion. TIDE defines who participates in the system, what roles participants play in distributing tourist information contained within user-generated content, how content within a network is distributed, and if this user-generated information, once diffused, has been transferred into tourists’ visiting actions, and the reasons why these actions have been generated. We discovered user typologies and the powerful characteristics of this network structure to be important factors affecting visiting actions in choosing particular tourist destinations.

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“…Increasingly, internet services and communications are an inextricable part of how tourists experience the journey. Yet, despite the fact that social media use is deeply embedded within travel experiences, the way tourists interact with social media is by no means universal (Choe et al, 2017), with connectivity providing a key juncture at which tourists' approach to, and use of, social media is likely to vary. Thus, an investigation into the conditions determining internet access and social media creation and consumption experiences is a critical dimension in overall understandings of tourists' technologically mediated experiences.…”

Section: Introductionmentioning

confidence: 99%

Travel connectivity

Magasic

Gretzel

2020

Tourist Studies

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The use of information and communication technology (ICT) devices has been recognised as a significant component of travel experiences. However, the portrayal of internet connectivity as a binary entity within literature has overlooked the significant experiential breadth that exists within the state of being connected. Drawing on the contexts of roaming and the digital divide, this article demonstrates the variable and dynamic nature of connectivity on a worldwide basis, thus highlighting the variety of states of connectivity which may be encountered by tourists. Research was conducted using an autoethnographic methodology employed during a 3-month period of multi-country fieldwork. As its research findings, the article first defines travel connectivity and presents a travel connectivity typology featuring four principal modes based on network quality and range. Second, impacts of each mode of connectivity upon the travel experience are discussed.

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Use of social media across the trip experience: An application of latent transition analysis

Cited by 62 publications

References 47 publications

Determinants of Smart Tourist Environmentally Responsible Behavior Using an Extended Norm-Activation Model

Determinants of Smart Tourist Environmentally Responsible Behavior Using an Extended Norm-Activation Model

Tourism Information Diffusion through SNSs: A Theoretical Investigation

Travel connectivity

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