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All issues Volume 181 (2024) SHS Web Conf., 181 (2024) 01053 References
Open Access
Issue
SHS Web Conf.
Volume 181, 2024
2023 International Conference on Digital Economy and Business Administration (ICDEBA 2023)
Article Number 01053
Number of page(s) 6
Section Marketing Strategy Analysis
DOI https://doi.org/10.1051/shsconf/202418101053
Published online 17 January 2024
  1. Hew, J.-J., Leong, L.-Y., Tan, G. W.-H., Lee, V.-H., & Ooi, K.-B. (2018). Mobile social tourism shopping: A dual-stage analysis of a multi-mediation model. Tourism Management, 66, 121–139. [CrossRef] [Google Scholar]
  2. Hamouda, M. (2018). Understanding social media advertising effect on consumers’ responses. Journal of Enterprise Information Management, 31(3), 426–445. [CrossRef] [Google Scholar]
  3. Lou, Liguo, Koh, & Joon. (2018). Social Media Advertising Effectiveness : A Conceptual Framework and Empirical Validation. Asia Pacific Journal of Information Systems, 28(3), 183–203. [CrossRef] [Google Scholar]
  4. Arora, T., & Agarwal, B. (2019). Empirical Study on Perceived Value and Attitude of Millennials Towards Social Media Advertising: A Structural Equation Modelling Approach. Vision: The Journal of Business Perspective, 23(1), 56–69. [CrossRef] [Google Scholar]
  5. Munoz-Leiva, F., Hernandez-Mendez, J., & Gomez-Carmona, D. (2019). Measuring advertising effectiveness in Travel 2.0 websites through eye-tracking technology. Physiol Behav, 200, 83–95. [CrossRef] [Google Scholar]
  6. Tan, G. W.-H., Lee, V.-H., Hew, J.-J., Ooi, K.-B., & Wong, L.-W. (2018). The interactive mobile social media advertising: An imminent approach to advertise tourism products and services? Telematics and Informatics, 35(8), 2270–2288. [CrossRef] [Google Scholar]
  7. Prideaux, B., Lee, L. Y.-S., & Tsang, N. (2018). A comparison of photo-taking and online-sharing behaviors of mainland Chinese and Western theme park visitors based on generation membership. Journal of Vacation Marketing, 24(1), 29–43. [CrossRef] [Google Scholar]
  8. Kurniawan, S., Mahmud, M., & Nugroho, Y. (2006, April). A study of the use of mobile phones by older persons. In CHI’06 extended abstracts on Human factors in computing systems (pp. 989–994). [CrossRef] [Google Scholar]
  9. Pesonen, J., Komppula, R., & Riihinen, A. (2015). Typology of senior travellers as users of tourism information technology. Information Technology & Tourism, 15(3), 233–252. [CrossRef] [Google Scholar]
  10. Wen, J., Kozak, M., Yang, S., & Liu, F. (2020). COVID-19: potential effects on Chinese citizens’ lifestyle and travel. Tourism Review, 76(1), 74–87. [Google Scholar]
  11. Voorveld, H. A. M., van Noort, G., Muntinga, D. G., & Bronner, F. (2018). Engagement with Social Media and Social Media Advertising: The Differentiating Role of Platform Type. Journal of Advertising, 47(1), 38–54. [CrossRef] [Google Scholar]
  12. Knoll, J. (2015). Advertising in social media: a review of empirical evidence. International Journal of Advertising, 35(2), 266–300. [Google Scholar]
  13. National Bureau of Statistics (2019), Statistical communique of the People’s Republic of China on national economic and social development in 2018, Retrieved from http://www.stats.gov.cn/tjsj/zxfb/201902/t20190228_1651265.html [Google Scholar]
  14. Cocosila, M., & Igonor, A. (2015). How important is the ‘social’ in social networking? A perceived value empirical investigation. Information Technology & People. [Google Scholar]
  15. Zhang, H., Lu, Y., Wang, B., & Wu, S. (2015). The impacts of technological environments and co-creation experiences on customer participation. Information & Management, 52(4), 468–482. [CrossRef] [Google Scholar]
  16. Statista. (2020). Leading apps by monthly active users in China 2020. Retrieved from https://www.statista.com/statistics/1032630/china-leading-apps-by-monthly-active-users/ [Google Scholar]
  17. Zhao, Z., Zhu, M., & Hao, X. (2018). Share the Gaze: representation of destination image on the Chinese social platform WeChat Moments. Journal of Travel & Tourism Marketing, 35(6), 726–739. [CrossRef] [Google Scholar]
  18. Kim, M. J., Lee, C.-K., & Contractor, N. S. (2019). Seniors’ usage of mobile social network sites: Applying theories of innovation diffusion and uses and gratifications. Computers in Human Behaviour, 90, 60–73. [CrossRef] [Google Scholar]
  19. Gao, S., Li, Y., & Guo, H. (2019). Understanding the Value of Using Smartphones for Older Adults in China: A Value-Focused Thinking Approach. In Digital Transformation for a Sustainable Society in the 21st Century: 18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019, Trondheim, Norway, September 18–20, 2019, Proceedings 18 (pp. 533–544). Springer International Publishing. [Google Scholar]
  20. CNNIC. (2021). The 48th Statistical Report on China’s Internet Development. Retrieved from http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/202109/P020210915523670981527.pdf: [Google Scholar]
  21. Lei, S. I., Ye, S., Wang, D., & Law, R. (2019). Engaging Customers in Value Co-Creation Through Mobile Instant Messaging in the Tourism and Hospitality Industry. Journal of Hospitality & Tourism Research, 44(2), 229–251. [Google Scholar]
  22. Gibs, J., & Bruich, S. (2010). Advertising effectiveness: Understanding the value of a social media impression. Veil’ York, NY: The Nielsen Company. [Google Scholar]
  23. Wiese, M., Martínez-Climent, C., & Botella-Carrubi, D. (2020). A framework for Facebook advertising effectiveness: A behavioural perspective. Journal of Business Research, 109, 76–87. [CrossRef] [Google Scholar]
  24. Tencent. (2019). 2019 fourth quarter and annual results presentation. Retrived on 5th of April, https://www.tencent.com/attachments/4Q19ResultsPresentation.pdf. [Google Scholar]
  25. Gavilanes, J. M., Flatten, T. C., & Brettel, M. (2018). Content Strategies for Digital Consumer Engagement in Social Networks: Why Advertising Is an Antecedent of Engagement. Journal of Advertising, 47(1), 4–23. [CrossRef] [Google Scholar]
  26. Vanmeter, R. A., Grisaffe, D. B., & Chonko, L. B. (2015). Of ‘Likes’ and ‘Pins’: The Effects of Consumers’ Attachment to Social Media. Journal of Interactive Marketing, 32, 70–88. [CrossRef] [Google Scholar]
  27. van Doorn, J., Lemon, K. N., Mittal, V., Nass, S., Pick, D., Pirner, P., & Verhoef, P. C. (2010). Customer Engagement Behaviour: Theoretical Foundations and Research Directions. Journal of Service Research, 13(3), 253–266. [CrossRef] [Google Scholar]
  28. Higgins, E. T. (2012). Beyond pleasure and pain how motivation works. New York: Oxford University Press. [Google Scholar]
  29. Chen, Y.-F., & Law, R. (2016). A Review of Research on Electronic Word-of-Mouth in Hospitality and Tourism Management. International Journal of Hospitality & Tourism Administration, 17(4), 347–372. [CrossRef] [Google Scholar]
  30. Kim, M. J., Chung, N., Lee, C.-K., & Preis, M. W. (2016). Dual-route of persuasive communications in mobile tourism shopping. Telematics and Informatics, 33(2), 293–308. [CrossRef] [Google Scholar]
  31. Lei, S. S. I., Pratt, S., & Wang, D. (2016). Factors influencing customer engagement with branded content in the social network sites of integrated resorts. Asia Pacific Journal of Tourism Research, 22(3), 316–328. [Google Scholar]
  32. Engward, & Hilary. (2013). Understanding grounded theory. Nursing Standard Official Newspaper of the Royal College of Nursing, 28(7), 37–41. [Google Scholar]
  33. Yin, R. K. (2018). Case study research and applications : design and methods (Sixth edition.. ed.). Thousand Oaks, California: SAGE Publications, Inc. [Google Scholar]
  34. Heigham, J. D., & Croker, R. A. D. (2009). Qualitative Research in Applied Linguistics : A Practical Introduction. [Google Scholar]
  35. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. [CrossRef] [Google Scholar]
  36. Vakratsas, D., & Ambler, T. (1999). How advertising works: What do we really know? Journal of Marketing, 63(1), 26–43. [CrossRef] [Google Scholar]
  37. Hofstede, G. H. (1980). Culture’s consequences : international differences in work-related values. Beverly Hills, Calif.: Sage Publications. [Google Scholar]

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