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Challenges in smart tourism: a media content analysis of digital barriers for senior tourists in China

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Abstract

Digital transformation, as a key enabler of smart tourism, is increasingly being used to address pandemic-related challenges. Growing with the rapidly aging population, senior tourists are more likely to be digitally excluded. This study utilized media content analysis to examine the digital barriers senior tourists encounter in the post-pandemic era. Online news reports between January 2020 and December 2022 were collected from WiseSearch, a Chinese news database. Reports containing detailed scenario information about digital barriers for senior tourists were selected. High-frequency word analysis and thematic keyword analysis were used to analyze the digital barriers for senior tourists in four scenarios: before-travel, during-travel, pandemic control, and smart tourism application. Then, mitigating measures were proposed based on fourteen demonstration cases of senior-friendly smart tourism. The findings underscore the concerns raised in the media about this topic and reveal the details of digital barriers in each scenario. This study highlights the issues of senior tourists in smart tourism and guides developing solutions from both technological and service approaches.

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References

  • Assaker G (2020) Age and gender differences in online travel reviews and user-generated-content (UGC) adoption: extending the technology acceptance model (TAM) with credibility theory. J Hosp Market Manag 29(4):428–449

    Google Scholar 

  • Anderson M, Perrin A, Jiang J, Kumar M (2019) 10% of Americans don’t use the internet. Who are they? Pew Research Center, Washington DC

  • Bao L, Wu J (2021) Research on the obstacle factors of the elderly’s online tourism information sharing behavior under the background of smart tourism: taking WeChat platform as an example. In 2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC). IEEE, pp 429–434

  • Berkowsky RW, Sharit J, Czaja SJ (2017) Factors predicting decisions about technology adoption among older adults. Innov Aging 1(3):igy002

  • Benckendorff PJ, Xiang Z, Sheldon PJ (2019) Tourism information technology. Cabi, Boston

    Book  Google Scholar 

  • Bitner MJ, Wang HS (2014) Service encounters in service marketing research. In: Rust RT, Huang M-H (eds) Handbook of service marketing research, pp 221–243

  • Boyatzis RE (1998) Transforming qualitative information: thematic analysis and code development. Sage, Thousand Oaks

    Google Scholar 

  • Buhalis D, Amaranggana A (2013) Smart tourism destinations. In: Information and communication technologies in tourism 2013. Springer, Cham, pp 553–564

  • Butcher J (2020) The war on tourism. Spiked online. https://www.spiked-online.com/2020/05/04/the-war-on-tourism/. Retrieved 4 Aug 2022

  • Cai L, Wang S (2018) The US tourists’ perceptions of destination China over two transformative periods. Asia Pac J Tour Res 23(3):217–230

    Article  Google Scholar 

  • Cheng M, Edwards D (2015) Social media in tourism: a visual analytic approach. Curr Issue Tour 18(11):1080–1087

    Article  Google Scholar 

  • China Society News (2020) Do you show health codes today? https://www.mca.gov.cn/article/xw/mtbd/202005/20200500027330.shtml. Retrieved 4 Aug 2022

  • Dass M, McDermott H (2020) Travel & tourism: global potential impact of the coronavirus. Tour Econ Oxf Econ Comp

  • Donat E, Brandtweiner R, Kerschbaum J (2009) Attitudes and the digital divide: attitude measurement as instrument to predict internet usage. Informing Sci 12:37–56

    Article  Google Scholar 

  • Duro JA, Perez-Laborda A, Turrion-Prats J, Fernández-Fernández M (2021) Covid-19 and tourism vulnerability. Tour Manag Perspect 38(2):100819

    Google Scholar 

  • El-Said O, Aziz H (2022) Virtual tours a means to an end: an analysis of virtual tours’ role in tourism recovery post COVID-19. J Travel Res 61(3):528–548

    Article  Google Scholar 

  • Eurostat (2021) Tourism trends and ageing. https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Tourism_trends_and_ageing. Retrieved 4 Aug 2022

  • Everbright Securities (2020) Consumption phenomenon observation series 2: silver-haired tourism is on the rise, aging drives demand growth. https://pdf.dfcfw.com/pdf/H3_AP202002201375316658_1.pdf?1582229550000.pdf. Retrieved 4 Aug 2022

  • Fabricius SE, Eriksson N (2017) Young-elderly individuals use of social media for travel purpose. Tour Manag Stud 13(1):27–32

    Article  Google Scholar 

  • Figueres-Esteban M, Hughes P, Van Gulijk C (2016) Visual analytics for text-based railway incident reports. Saf Sci 89:72–76

    Article  Google Scholar 

  • Fotiadis A, Polyzos S, Huan T (2021) The good, the bad and the ugly on COVID-19 tourism recovery. Ann Tour Res 87:103117

    Article  Google Scholar 

  • Fusté-Forné F (2020) What do New Zealand newspapers say about food tourism? Tour Hosp Res 20(1):82–92

    Article  Google Scholar 

  • Gössling S, Scott D, Hall CM (2020) Pandemics, tourism and global change: a rapid assessment of COVID-19. J Sustain Tour 29(1):1–20

    Article  Google Scholar 

  • Gretzel U (2011) Intelligent systems in tourism. A social science perspective. Ann Tour Res 38(3):757–779

    Article  Google Scholar 

  • Gretzel U, Fuchs M, Baggio R, Hoepken W, Law R, Neidhardt J, Xiang Z (2020a) e-Tourism beyond COVID-19: a call for transformative research. Inf Technol Tour 22(2):187–203

    Article  Google Scholar 

  • Gretzel U, Zarezadeh Z, Li Y, Xiang Z (2020b) The evolution of travel information search research: a perspective article. Tour Rev 75(1):319–323

    Article  Google Scholar 

  • Grégoire Y, Fisher RJ (2008) Customer betrayal and retaliation: when your best customers become your worst enemies. J Acad Mark Sci 36(2):247–261

    Article  Google Scholar 

  • Hargittai E, Dobransky K (2017) Old dogs, new clicks: digital inequality in skills and uses among older adults. Can J Commun 42(2):195–212

    Article  Google Scholar 

  • Hargittai E, Piper AM, Morris MR (2019) From internet access to internet skills: digital inequality among older adults. Univ Access Inf Soc 18(4):881–890

    Article  Google Scholar 

  • Higgins-Desbiolles F (2020) The “war over tourism”: challenges to sustainable tourism in the tourism academy after COVID-19. J Sustain Tour 29(4):551–569

    Article  Google Scholar 

  • Hodgetts D, Chamberlain K (2014) Analysing news media. The SAGE handbook of qualitative data analysis, pp 380–393

  • Hong Y, Cho J (2017) Has the digital health divide widened? Trends of health-related internet use among older adults from 2003 to 2011. J Gerontol Ser B Psychol Sci Soc Sci 72(5):856–863

    Google Scholar 

  • Huber D, Milne S, Hyde KF (2018) Constraints and facilitators for senior tourism. Tour Manag Perspect 27:55–67

    Google Scholar 

  • Hülür G, Macdonald B (2020) Rethinking social relationships in old age: digitalization and the social lives of older adults. Am Psychol 75(4):554–566

    Article  Google Scholar 

  • Ivanov SH, Webster C, Stoilova E, Slobodskoy D (2020) Biosecurity, automation technologies and economic resilience of travel, tourism and hospitality companies. SocArXiv. https://doi.org/10.31235/osf.io/2hx6f

    Article  Google Scholar 

  • Jun W (2020) A study on the current status and improvement of the digital divide among older people in Korea. Int J Environ Res Public Health 17(11):3917

    Article  Google Scholar 

  • Kang JH, Jang JC, Jeong C (2018) Understanding museum visitor satisfaction and revisit intentions through mobile guide system: moderating role of age in museum mobile guide adoption. Asia Pac J Tour Res 23(2):95–108

    Article  Google Scholar 

  • Kaplan RM, Riley WT, Mabry PL (2014) News from the NIH: leveraging big data in the behavioral sciences. Behav Med Pract Policy Res 4:229–231. https://doi.org/10.1007/s13142-014-0267-y

    Article  Google Scholar 

  • Kazeminia A, Del Chiappa G, Jafari J (2015) Seniors’ travel constraints and their coping strategies. J Travel Res 54(1):80–93

    Article  Google Scholar 

  • Kim I, Kim JJ (2017) Older adults’ parasocial interaction formation process in the context of travel websites: the moderating role of parent-child geographic proximity. Tour Manag 63:399–416

    Article  Google Scholar 

  • Law R, Leung D, Chan ICC (2019) Progression and development of information and communication technology research in hospitality and tourism: a state-of-the-art review. Int J Contemp Hosp Manag 32(2):511–534

    Article  Google Scholar 

  • Lee CF (2016) An investigation of factors determining destination satisfaction and travel frequency of senior travelers. J Qual Assur Hosp Tour 17(4):471–495. https://doi.org/10.1080/1528008X.2015.1127195

    Article  Google Scholar 

  • Lee C-F, King B (2016) Determinants of attractiveness for a seniors-friendly destination: a hierarchical approach. Curr Issues Tour. https://doi.org/10.1080/13683500.2016.1250725

    Article  Google Scholar 

  • Leukel J, Schehl B, Sugumaran V (2021) Digital inequality among older adults: explaining differences in the breadth of Internet use. Inf Commun Soc 1–16

  • Levallois C, Clithero JA, Wouters P, Smidts A, Huettel SA (2012) Translating upwards: linking the neural and social sciences via neuroeconomics. Nat Rev Neurosci 13(11):789–797

    Article  Google Scholar 

  • Li Y, Hu C, Huang C, Duan L (2017) The concept of smart tourism in the context of tourism information services. Tour Manag 58:293–300

    Article  Google Scholar 

  • Li J, Xu L, Tang L, Wang S, Li L (2018) Big data in tourism research: a literature review. Tour Manag 68:301–323

    Article  Google Scholar 

  • Liew SL, Hussin SR, Abdullah NH (2021) Attributes of senior-friendly tourism destinations for current and future senior tourists: an importance-performance analysis approach. SAGE Open 11(1):215824402199865

    Article  Google Scholar 

  • Miah SJ, Vu HQ, Gammack J, McGrath M (2017) A big data analytics method for tourist behaviour analysis. Inf Manag 54(6):771–785

    Article  Google Scholar 

  • Ministry of Culture and Tourism (2020a) The basic situation of the tourism market in 2019. https://www.mct.gov.cn/whzx/whyw/2020a03/t20200310_851786.html. Retrieved 4 Aug 2022

  • Ministry of Culture and Tourism (2020b) Notice on the work in the prevention and control of pandemic and opening Tourist Attractions safely and orderly. http://www.gov.cn/zhengce/zhengceku/2020b-04/14/content_5502188.htm. Retrieved 4 Aug 2022

  • Ministry of Civil Affairs (2022) Opinions on Further Promoting the Construction of Smart Communities. https://www.gov.cn/zhengce/zhengceku/2022-05/21/content_5691593.htm. Retrieved 4 Aug 2022

  • Mitzner TL, Savla J, Boot WR, Sharit J, Charness N, Czaja SJ, Rogers WA (2019) Technology adoption by older adults: findings from the PRISM trial. Gerontologist 59(1):34–44

    Article  Google Scholar 

  • Murphy J, Hofacker C, Gretzel U (2017) Dawning of the age of robots in hospitality and tourism: challenges for teaching and research. Eur J Tour Res 15:104–111

    Article  Google Scholar 

  • Padrón Nápoles VM, Gachet Páez D, Esteban Penelas JL, García Pérez O, García Santacruz MJ, Martín de Pablos F (2020) Smart bus stops as interconnected public spaces for increasing social inclusiveness and quality of life of elder users. Smart Cities 3(2):430–443

    Article  Google Scholar 

  • Park E, Park J, Hu M (2021) Tourism demand forecasting with online news data mining. Ann Tour Res 90:103273

    Article  Google Scholar 

  • Park YE (2022) Developing a COVID-19 crisis management strategy using news media and social media in big data analytics. Soc Sci Comput Rev 40(6):1358–1375

    Article  Google Scholar 

  • Patterson I (2018) Tourism and leisure behaviour in an aging world. CABI, Oxfordshire

    Book  Google Scholar 

  • Pesonen J, Komppula R, Riihinen A (2015) Senior travellers as users of online travel services: a qualitative enquiry. In: Information and communication technologies in tourism 2015. Springer, Cham, pp 831–843

  • Porter CE, Donthu N (2006) Using the technology acceptance model to explain how attitudes determine Internet usage: the role of perceived access barriers and demographics. J Bus Res 59(9):999–1007

    Article  Google Scholar 

  • Ramos-Soler I, Martínez-Sala AM, Campillo-Alhama C (2019) ICT and the sustainability of world heritage sites. Analysis of senior citizens’ use of tourism apps. Sustainability 11(11):3203

    Article  Google Scholar 

  • Ritchie BW, Jiang Y (2019) A review of research on tourism risk, crisis and disaster management: launching the annals of tourism research curated collection on tourism risk, crisis and disaster management. Ann Tour Res 79:102812

    Article  Google Scholar 

  • Schweinsberg S, Darcy S, Cheng, M (2017) The agenda setting power of news media in framing the future role of tourism in protected areas. Tour Manag 62:241–252. https://doi.org/10.1016/j.tourman.2017.04.011

    Article  Google Scholar 

  • Silver Travel Advisor (2021) Industry report 2021. https://en.calameo.com/silvertraveladvisor/read/004427423022c2063a948. Retrieved 4 Aug 2022

  • Smith AK, Bolton RN, Wagner J (1999) A model of customer satisfaction with service encounters involving failure and recovery. J Mark Res 36(3):356–372

    Article  Google Scholar 

  • Song Y, Qian C, Pickard S (2021) Age-related digital divide during the COVID-19 pandemic in China. Int J Environ Res Public Health 18(21):11285

    Article  Google Scholar 

  • The Paper (2020) Torturous “convenience”: 94-year-old had to be lifted for face recognition. https://www.thepaper.cn/newsDetail_forward_10119907. Retrieved 4 Aug 2022

  • UNDESA. Population Division United Nations. Dept of Economic and Social Affairs (2019) World population ageing 2019. Department of Economic & Social Affairs United Nations

  • Voorhees CM, Fombelle PW, Gregoire Y, Bone S, Gustafsson A, Sousa R, Wagner N, Hassanein K, Head M (2010) Computer use by older adults: a multi-disciplinary review. Comput Hum Behav 26(5):870–882

    Article  Google Scholar 

  • Wang X, Li XR, Zhen F, Zhang J (2016) How smart is your tourist attraction? Measuring tourist preferences of smart tourism attractions via a FCEM-AHP and IPA approach. Tour Manag 54:309–320

    Article  Google Scholar 

  • Wen J, Kozak M, Yang S, Liu F (2021) COVID-19: potential effects on Chinese citizens’ lifestyle and travel. Tour Rev 76(1):74–87

    Article  Google Scholar 

  • Werthner H, Alzua-Sorzabal A, Cantoni L, Dickinger A, Gretzel U, Jannach D, Zanker M (2015) Future research issues in IT and tourism. Inf Technol Tour 15(1):1–15

    Article  Google Scholar 

  • Xi W, Xu W, Zhang X, Ayalon L (2021) A thematic analysis of Weibo topics (Chinese Twitter Hashtags) regarding older adults during the COVID-19 outbreak. J Gerontol Ser B 76(7):e306–e312

    Article  Google Scholar 

  • Yoon H, Jang Y, Vaughan PW, Garcia M (2020) Older adults’ internet use for health information: digital divide by race/ethnicity and socioeconomic status. J Appl Gerontol 39(1):105–110

    Article  Google Scholar 

  • Yuan Y, Tseng YH, Ho CI (2019) Tourism information technology research trends: 1990–2016. Tour Rev 74(1):5–19. https://doi.org/10.1108/TR-08-2017-0128

    Article  Google Scholar 

  • Zhang H, Song H, Wen L, Liu C (2021) Forecasting tourism recovery amid COVID-19. Ann Tour Res 87:103149

    Article  Google Scholar 

  • Zhang J, Liu X (2021) Media representation of older people’s vulnerability during the COVID-19 pandemic in China. Eur J Ageing 18(1–158):49

    Google Scholar 

  • Zeng Z, Chen P-J, Lew AA (2020) From high-touch to high-tech: COVID-19 drives robotics adoption. Tour Geogr 22(3):724–734

    Article  Google Scholar 

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Acknowledgements

We are grateful to Dr. Anan Hu, Dr. Lan Xue, Dr. Danni Zheng, and Dr. Yixuan Liu for their feedback.

Funding

This research was funded by National Natural Science Foundation of China (71902113, 72074052 and 71901072).

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Correspondence to Yuanyuan Shi.

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Xu, Y., Shi, Y. & Qin, T. Challenges in smart tourism: a media content analysis of digital barriers for senior tourists in China. Inf Technol Tourism 25, 665–682 (2023). https://doi.org/10.1007/s40558-023-00270-z

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