image formation
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2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Halim Budi Santoso ◽  
Jyun-Cheng Wang ◽  
Nila Armelia Windasari

Purpose The use of extended reality (XR) to create memorable experiences has attracted considerable attention, especially in tourism. Multisensory XR offers a new way of virtually previewing a destination before physical holidays. This study aims to explore how multisensory XR can be used at each stage of the tourism experience journey. This study established a model for how destination-image formation is affected by multisensory XR in each phase of tourism experience. Design/methodology/approach The authors followed the preferred reporting items for systematic reviews and meta-analyses guidelines to review studies published between 2013 and 2020, gathered from four research databases. The authors identified the predominant XR technology and sensory stimuli based on the characteristics of various tourism domains. The authors synthesized the previous studies to explain destination-image formation by using multisensory XR. Findings This study summarized the XR study distribution among the three stages of the tourism experience journey. The authors identified the predominant sensory stimuli and dominant XR application and developed a destination-image formation model by using multisensory XR. Originality/value This study highlights the holistic approach of multisensory XR in the tourism experience journey in relation to various tourism domains. It also contributes to destination-image formation in the virtual environment by providing multisensory experiences of predominant sensory stimuli at each stage.


2022 ◽  
pp. 483-519
Author(s):  
Lakshminarayan Hazra
Keyword(s):  

2021 ◽  
Vol 4 (74) ◽  
pp. 65-68
Author(s):  
R. Suleimanova

The article is devoted to the topical problem of image formation and enhancing the competitiveness of the Republic of Bashkortostan. Particular attention is paid to the main attractions and events of the city. The authors believe that the culture of the city of Ufa is one of the most effective tools to form the image of the region, since the capital acts as a brand of the republic.


Author(s):  
Amine Benslimane ◽  
Khalissa Semaoune

Destination management organisations currently operate in an environment where online media greatly influences travellers' decision-making. In this digital environment, electronic word of mouth (eWOM) is considered an important source of information affecting tourist's behaviour and destination image formation. Destination image is also recognised as major element influencing holiday destination choice, intention to revisit a destination and the willingness to recommend it to others. The Theory of Reasoned Action (TRA) in turn, offers a relevant conceptual framework to analyse tourists’ behaviour. This paper aims to (1) incorporate eWOM and destination image as exogenous variables into the TRA model, then evaluate the ability of this extension to predict tourists’ behavioural intention (2) examine both eWOM and destination image impact on intention to visit an emerging destination (3) inspect eWOM role in destination image formation (4) evaluate the ability of the TRA’s core constructs (i.e., attitude and subjective norms) to predict intention. A quantitative approach based on structural equation modelling conducted this study in order to test the extended model, by analysing data collected from 234 potential foreign tourists, selected using a convenience sampling method. Results revealed that the extended model had a good predictive ability for tourists’ intentions to visit an emerging destination. Besides, attitude, subjective norms and destination image were significant predictors of visit intention, and eWOM significantly influenced the image. The study outcomes may help to develop a more efficient and successful tourism marketing strategy.


2021 ◽  
Vol 27 (1) ◽  
pp. 48-68
Author(s):  
Anna Pavesi ◽  
Basak Denizci Guillet ◽  
Ryan P. Smith ◽  
Rob Law

Author(s):  
Rahmadya Putra Nugraha S ◽  

This research intended to comprehend the virtual self-image formation process by adolescents and the factors that could support self-image formation on Instagram social media. The subjects from this research were late adolescents who used Instagram actively. The research method used was a qualitative method with a phenomenological approach. Then, the primary technique used in this research was a semi-structured interview technique.


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