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Prethodno priopćenje

https://doi.org/10.22598/at/2019.31.2.153

SOCIAL MEDIA GRATIFICATIONS IN THE CONTEXT OF INTERNATIONAL TRAVEL PLANNING: THE USE OF THE REPERTORY TEST METHOD

Steven Pike ; Queensland University of Technology, Brisbane, Australia
Lien P. Dam ; SkyTeam Airline Alliance Management, Schiphol, Netherlands
Amanda Beatson ; Queensland University of Technology, Brisbane, Australia


Puni tekst: hrvatski pdf 2.530 Kb

str. 153-178

preuzimanja: 583

citiraj

Puni tekst: engleski pdf 2.530 Kb

str. 153-178

preuzimanja: 537

citiraj


Sažetak

The purpose of this manuscript is to report the fi ndings of an exploratory investigation into social media gratifi cations in the context of international travel planning. Underpinned by Personal Construct Theory as well as Uses and Gratifi cations Theory, an exploratory approach was used. The findings from a content analysis of published studies (N = 101) and from personal interviews with consumers in Australia (N = 20) using the Repertory Test technique, were triangulated to identify 19 salient attributes of social media in the context of international travel planning. Since user-generated content on social media is an infl uential organic image formation agent, and is now more volumous than the marketing communications of the travel industry, an important current issue is thinking about how destination marketing organisations can better take advantage of this medium. This study provides new insights into the range of salient travel planning attributes of social media. It is suggested that these fi ndings could be used by destination marketing organisations (DMO) to assist stakeholders with social media promotions.

Ključne riječi

destination marketing organisation (DMO); social media; user-generated content (UGC); destination competitiveness; international travel; travel planning; destination branding; uses and gratifi cations theory

Hrčak ID:

231945

URI

https://hrcak.srce.hr/231945

Datum izdavanja:

22.12.2019.

Podaci na drugim jezicima: hrvatski

Posjeta: 2.824 *