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Factors influencing Generation Y’s tourism-related social media activity: the case of Polish students

Factors influencing Generation Y’s tourism-related social media activity: the case of Polish... This study aims to identify the factors which affect Generation Y’s activity in social media (SM) while traveling. It draws on and extends the technology acceptance model (TAM) and social influence theory. It examines the effects of social influence processes (compliance, identification and internalization), perceived enjoyment (PE), perceived risk, perceived ease of use and perceived usefulness on tourism-related SM activity.Design/methodology/approachThe study tested the model with a sample of 420 Polish Y’s who had traveled in the preceding 12 months and used SM. The verification of the hypotheses and the analysis of relationships between the variables were performed using partial least squares structural equation modeling.FindingsOut of the four variables of the TAM, only PE has significantly and directly affected Ys’ tourism-related activity in SM. From among the three processes of social influence, only internalization has had a significant impact on the enjoyment of SM use and, consequently, on the SM activity of Generation Y.Research limitations/implicationsThis study covered only Polish Y’s. In the future, the formulated hypotheses should be verified in other generational cohorts, in sub-cohorts of Y’s and in other cultural contexts. Furthermore, limitations include lack of randomization of the survey distribution.Practical implicationsThe presented results show a generational portrait of an increasingly important consumer group on the tourism market in relation to factors affecting their tourism-related activity in SM.Originality/valueThis is one of few studies (the first in the Central and Eastern Europe context) to examine Generation Y’s adoption of SM in tourism-related activity drawing on and extending the TAM and processes of social influence. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Hospitality and Tourism Technology Emerald Publishing

Factors influencing Generation Y’s tourism-related social media activity: the case of Polish students

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1757-9880
DOI
10.1108/jhtt-03-2019-0049
Publisher site
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Abstract

This study aims to identify the factors which affect Generation Y’s activity in social media (SM) while traveling. It draws on and extends the technology acceptance model (TAM) and social influence theory. It examines the effects of social influence processes (compliance, identification and internalization), perceived enjoyment (PE), perceived risk, perceived ease of use and perceived usefulness on tourism-related SM activity.Design/methodology/approachThe study tested the model with a sample of 420 Polish Y’s who had traveled in the preceding 12 months and used SM. The verification of the hypotheses and the analysis of relationships between the variables were performed using partial least squares structural equation modeling.FindingsOut of the four variables of the TAM, only PE has significantly and directly affected Ys’ tourism-related activity in SM. From among the three processes of social influence, only internalization has had a significant impact on the enjoyment of SM use and, consequently, on the SM activity of Generation Y.Research limitations/implicationsThis study covered only Polish Y’s. In the future, the formulated hypotheses should be verified in other generational cohorts, in sub-cohorts of Y’s and in other cultural contexts. Furthermore, limitations include lack of randomization of the survey distribution.Practical implicationsThe presented results show a generational portrait of an increasingly important consumer group on the tourism market in relation to factors affecting their tourism-related activity in SM.Originality/valueThis is one of few studies (the first in the Central and Eastern Europe context) to examine Generation Y’s adoption of SM in tourism-related activity drawing on and extending the TAM and processes of social influence.

Journal

Journal of Hospitality and Tourism Technology – Emerald Publishing

Published: Oct 31, 2020

Keywords: Millennials; Social influence theory; Technology acceptance model; Social media; Tourism; PLS-SEM; 关键词 Millenials; 社会影响理论; 技术接受模型; 、旅游; PLS-SEM

References

  • Travelers’ use of social media: a clustering approach
    Amaro, S.; Duarte, P.; Henriques, C.
  • The power of self-persuasion
    Aronson, E.
  • Age and gender differences in online travel reviews and user-generated-content (UGC) adoption: extending the technology acceptance model (TAM) with credibility theory
    Assaker, G.
  • Consumer usage of online travel reviews: expanding the unified theory of acceptance and use of technology 2 model
    Assaker, G.; Hallak, R.; El-Haddad, R.
  • Predicting the intention to use consumer generated media for travel planning
    Ayeh, J.K.; Au, N.; Law, R.
  • Explaining and predicting online tourists’ behavioural intention in accepting consumer generated contents
    Balouchi, M.; Aziz, Y.A.; Hasangholipour, T.; Khanlari, A.; Abd, A.; Raja-Yusof, R.N.
  • Beyond technology acceptance: understanding consumer practice
    Baron, S.; Patterson, A.; Harris, K.
  • The impact of social media activities on brand image and emotional attachment: a case in the travel context
    Barreda, A.; Nusair, K.; Wang, Y.; Okumus, F.; Bilgihan, A.
  • Generation Y travelers’ commitment to online social network websites
    Bilgihan, A.; Okumus, F.; Cobanoglu, C.
  • Consumer perception of knowledge-sharing in travel-related online social networks
    Bilgihan, A.; Barreda, A.; Okumus, F.; Nusair, K.
  • Understanding generation Y and their use of social media: a review and research agenda
    Bolton, R.N.; Parasuraman, A.; Hoefnagels, A.; Migchels, N.; Kabadayi, S.; Gruber, T.; Solnet, D.
  • Explaining consumer acceptance of handheld internet devices
    Bruner, G.C.; Kumar, A.
  • Progress in information technology and tourism management: 20 years on and 10 years after the internet–the state of eTourism research
    Buhalis, D.; Law, R.
  • Progress on technology use in tourism
    Cai, W.; Richter, S.; McKenna, B.
  • Travel review website usage: a cultural perspective
    Cassidy, L.; Pabel, A.
  • Antecedents and consequences of perceived coolness for generation Y in the context of creative tourism – A case study of the pier 2 art center in Taiwan
    Chen, C.F.; Chou, S.H.
  • Enhancing the smart tourism experience through geotag
    Chung, N.; Tyan, I.; Han, H.
  • Perceived usefulness, perceived ease of use, and user acceptance of information technology
    Davis, F.D.
  • Extrinsic and intrinsic motivation to use computers in the workplace
    Davis, F.D.; Bagozzi, R.P.; Warshaw, P.R.
  • Re-examining the unified theory of acceptance and use of technology (UTAUT): towards a revised theoretical model
    Dwivedi, Y.K.; Rana, N.P.; Jeyaraj, A.; Clement, M.; Williams, M.D.
  • Smart destinations and tech-savvy millennial tourists: hype versus reality
    Femenia-Serra, F.; Perles-Ribes, J.F.; Ivars-Baidal, J.
  • Evaluating structural equation models with unobservable variables and measurement error
    Fornell, C.; Larcker, D.F.
  • Trust and TAM in online shopping: an integrated model
    Gefen, D.; Karahanna, E.; Straub, D.
  • Social influence in technology adoption: taking stock and moving forward
    Graf-Vlachy, L.; Buhtz, K.; König, A.
  • What determines tourist adoption of smartphone apps?: an analysis based on the UTAUT-2 framework
    Gupta, A.; Dogra, N.; George, B.
  • Determinants of adoption of mobile games under mobile broadband wireless access environment
    Ha, I.; Yoon, Y.; Choi, M.
  • Partial least squares structural equation modeling (PLS-SEM) an emerging tool in business research
    Hair, J.F.; Sarstedt, M.; Hopkins, L.; Kuppelwieser, V.G.
  • Modelling the impact of corporate reputation on customer satisfaction and loyalty using PLS
    Helm, S.; Eggert, A.; Garnefeld, I.; Esposito, V.V.; Chin, W.W.; Henseler, J.; Wang, H.
  • The impact of Wi-Fi service on millennial diners
    Jeon, J.; Yoo, M.; Christodoulidou, N.
  • Consumer adoption of mobile TV: Examining psychological flow and media content
    Jung, Y.; Perez-Mira, B.; Wiley-Patton, S.
  • Determinants of sharing travel experiences in social media
    Kang, M.; Schuett, M.A.
  • Compliance, identification, and internalization; three processes of attitude change?
    Kelman, H.C.
  • Rethinking millennials: how are they shaping the tourism industry?
    Kim, D.Y.; Park, S.
  • A trust-based consumer decision-making model in electronic commerce: the role of trust, perceived risk, and their antecedents
    Kim, D.J.; Ferrin, D.L.; Rao, H.R.
  • Tourism trends among generation Y in Poland
    Kowalczyk-Anioł, J.
  • Tourist consumption of a contemporary city – a transgenerational analysis
    Kowalczyk-Anioł, J.; Nowacki, M.
  • Acceptance of internet-based learning medium: the role of extrinsic and intrinsic motivation
    Lee, M.K.; Cheung, C.M.; Chen, Z.
  • Social media in tourism and hospitality: a literature review
    Leung, D.; Law, R.; Van Hoof, H.; Buhalis, D.
  • Predicting user response to sponsored advertising on social media via the technology acceptance model
    Lin, C.C.; Kim, T.T.
  • Consumer perceptions of risk and uncertainty and the implications for behaviour towards innovative retail services: the case of internet banking
    Littler, D.; Melanthiou, D.
  • Consumer adoption of social networking sites: implications for theory and practice
    Lorenzo-Romero, C.; Constantinides, E.; Alarcón-del-Amo, M.D.C.
  • The virtual reality hardware acceptance model (VR-HAM): extending and individuating the technology acceptance model (TAM) for virtual reality hardware
    Manis, K.T.; Choi, D.
  • Using facebook for travel decision-making: an international study of antecedents
    Mariani, M.; Styven, M.E.; Ayeh, J.K.
  • Social media analytics in hospitality and tourism: a systematic literature review and future trends
    Mirzaalian, F.; Halpenny, E.
  • Theoretical and empirical considerations of guests’ perceptions of biometric systems in hotels: extending the technology acceptance model
    Morosan, C.
  • A Cross-National comparison of intragenerational variability in social media sharing
    Mulvey, M.S.; Lever, M.W.; Elliot, S.
  • A typology of technology-enhanced tourism experiences
    Neuhofer, B.; Buhalis, D.; Ladkin, A.
  • Why do people share their travel experiences on social media?
    Oliveira, T.; Araujo, B.; Tam, C.
  • Intentions to use social media in organizing and taking vacation trips
    Parra-López, E.; Bulchand-Gidumal, J.; Gutiérrez-Taño, D.; Díaz-Armas, R.
  • Getting to know the Y generation
    Pendergast, D.; Benckendorff, P.; Moscardo, G.; Pendergast, D.
  • A critique of the progress of eTourism technology acceptance research: time for a hike?
    Pourfakhimi, S.; Duncan, T.; Coetzee, W.
  • SmartPLS
    Ringle, C.M.; Wende, S.; Becker, J.M.
  • Millennials’ travel motivations and desired activities within destinations: a comparative study of the US and the UK
    Rita, P.; Brochado, A.; Dimova, L.
  • Technology use within meetings: a generational perspective
    Sox, C.B.; Campbell, J.M.; Kline, S.F.; Strick, S.K.; Crews, T.B.
  • Defining media enjoyment as the satisfaction of intrinsic needs
    Tamborini, R.; Bowman, N.D.; Eden, A.; Grizzard, M.; Organ, A.
  • The effects of social influence and cognitive dissonance on travel purchase decisions
    Tanford, S.; Montgomery, R.
  • Consumers’ acceptance of information and communications technology in tourism: a review
    Ukpabi, D.C.; Karjaluoto, H.
  • Friend networking sites and their relationship to adolescents' well-being and social self-esteem
    Valkenburg, P.; Peter, J.; Schouten, A.
  • A theoretical extension of the technology acceptance model: four longitudinal field studies
    Venkatesh, V.; Davis, F.D.
  • User acceptance of information technology: toward a unified view
    Venkatesh, V.; Morris, M.; Davis, G.; Davis, F.
  • The application of technology acceptance and diffusion of innovation models in healthcare informatics
    Ward, R.
  • Role of social media in online travel information search
    Xiang, Z.; Gretzel, U.
  • What do we know about social media in tourism? a review
    Zeng, B.; Gerritsen, R.
  • Model of volitional systems adoption and usage behavior
    Malhotra, Y.; Dennis, G.