“I Want to Go There Too!” Evaluating Social Media Influencer Marketing Effectiveness: A Case Study of Hokkaido’s DMO

  • Yi Xuan OngEmail author
  • Naoya Ito
Conference paper


Social media and the power of word-of-mouth (WOM) have resulted in the rise of user-generated content (UGC) which thereby created prominent users who have congregated their own clout of followers as opinion leaders of the new digital century – social media influencers (SMIs). Becoming an integral player in the marketing industry in Singapore, Destinations Management/Marketing Organisations (DMOs) are recognising the influential power of SMIs, employing them as part of its integrated marketing strategy to increase inbound tourism. However, effectiveness of SMI marketing, even more so, social media campaign of a DMO has been minimally examined. Thus, to evaluate the effectiveness of the SMI marketing campaign executed by Hokkaido Tourism Organization, factor analysis and Structural Equation Modelling (SEM) is used. This study suggests that SMI marketing is effective in changing attitude among consumers, especially on destination image, which would consequently affect the consumers’ travel intention and intention to do word-of-mouth.


Social media influencer DMO Attitude-towards-ad model Effectiveness 


  1. 1.
    Buhalis D, Law R (2008) Progress in information technology and tourism management: 20 years on and 10 years after the internet: the state of eTourism research. Tour Manag 29:609–623CrossRefGoogle Scholar
  2. 2.
    Xiang Z, Gretzel U (2010) Role of social media in online travel information search. Tour Manag 31:179–188CrossRefGoogle Scholar
  3. 3.
    Litvin SW, Goldsmith RE, Pan B (2008) Electronic word-of-mouth in hospitality and tourism management. Tour Manag 29(3):458–468CrossRefGoogle Scholar
  4. 4.
    Hays S, Page SJ, Buhalis D (2013) Social media as a destination marketing tool: its use by national tourism organizations. Curr Issues Tour 16(3):211–239CrossRefGoogle Scholar
  5. 5.
    Gretzel U (2006) Consumer generated content: trends and implications for branding. E-rev Tour Res 4(3):9–11Google Scholar
  6. 6.
    Rand M (2006) Online travel gets personal. Accessed 4 Jan 2011
  7. 7.
    Hvass KA, Munar AM (2012) The takeoff of social media in tourism. J Vacat Mark 18:93–103CrossRefGoogle Scholar
  8. 8.
    Yang X, Wang D (2015) The exploration of social media marketing strategies of destination marketing organizations in China. J China Tour Res 11(2):166–185CrossRefGoogle Scholar
  9. 9.
    Japan Tourism Agency (2017) 日本版DMOとは?. [What is Japan’s version of DMO?]. Japan Tourism Agency website Accessed 10 June 2018
  10. 10.
    Lim A (2015) 35 Reasons to visit Hokkaido at least once in your life. The Smart Local website: Accessed 10 June 2018
  11. 11.
    The Smart Local (2015) 35 Reasons to visit Hokkaido at least once in your life [Facebook Post]. Accessed 10 June 2018
  12. 12.
    Hokkaido Government (2016) 平成27年度北海道観光入込客数調査報告書. [2015 Hokkaido Inbound Tourist Report]. Accessed 10 June 2018
  13. 13.
    Hokkaido Government (2017) 平成28年度北海道観光入込客数調査報告書. [2016 Hokkaido Inbound Tourist Report]. Accessed 10 June 2018
  14. 14.
    Leung XY, Bai B, Stahura KA (2015) The marketing effectiveness of social media in the hotel industry: a comparison of Facebook and Twitter. J Hosp Tour Res 39(2):147–169CrossRefGoogle Scholar
  15. 15.
    Gretzel U, Yuan Y, Fesenmaier D (2000) Preparing for the new economy: advertising strategies and change in destination marketing organizations. J Travel Res 39:149–156CrossRefGoogle Scholar
  16. 16.
    Kaplan AM, Haenlein M (2009) Users of the world, unite! The challenges and opportunities of social media. Bus Horiz 53:59–68CrossRefGoogle Scholar
  17. 17.
    Japan Tourism Agency (2016) Tourism Nation Promotion Basic Law. Accessed 10 June 2018
  18. 18.
    Hokkaido Tourism Organisation (2016) Hokkaido Tourism Organisation Facebook Page. Accessed 10 June 2018
  19. 19.
    Andonian A, Kuwabara T, Yamakawa N, Ishida R (2016) The future of Japan’s tourism: path for sustainable growth towards 2020. Accessed 10 Oct 2018
  20. 20.
    Snijders R, Helms RW (2014) Analyzing social influence through social media: a structured literature review. In: Proceedings of the 7th IADIS International Conference on Information Systems 2014, pp 3–10Google Scholar
  21. 21.
    Katz E, Lazarsfeld PF (1955) Personal influence: the part played by people in the flow of mass communication. Free Press, Glencoe, ILGoogle Scholar
  22. 22.
    Uzunoğlu E, Kip SM (2014) Brand communication through digital influencers: leveraging blogger engagement. Int J Inf Manage 34(5):592–602CrossRefGoogle Scholar
  23. 23.
    Booth N, Matic JA (2011) Mapping and leveraging influencers in social media to shape corporate brand perceptions. Corp Commun Int J 16(3):184–191CrossRefGoogle Scholar
  24. 24.
    Mitchell AA, Olson JC (1981) Are product attribute beliefs the only mediator of advertising effects on brand attitude? J Mark Res 18:318–332CrossRefGoogle Scholar
  25. 25.
    Shrimp TA (1981) Attitude toward the Ad as a mediator of consumer brand choice. J Advert 10(2):9–48CrossRefGoogle Scholar
  26. 26.
    Lutz RJ, MacKenzie SB, Belch GE (1983) Attitude toward the Ad as a mediator of advertising effectiveness: determinants and consequences. Adv Consum Res 10:532–539Google Scholar
  27. 27.
    MacKenzie SB, Lutz RJ, Belch GE (1986) The role of attitude toward the Ad as a mediator of advertising effectiveness: a test of competing explanations. J Mark Res, 130–143CrossRefGoogle Scholar
  28. 28.
    Chen Q, Wells WD (1999) Attitude toward the site. J Advert Res 39(5):27–37Google Scholar
  29. 29.
    Bruner GC, Kumar A (2000) Web commercials and advertising hierarchy-of-effects. J Advert Res 40(1–2):35–42CrossRefGoogle Scholar
  30. 30.
    Salem TM, Twining-Ward LD (2018) The voice of travelers: leveraging user-generated content for tourism development 2018 (English). Accessed 15 Oct 2018
  31. 31.
    Hooper D, Coughlan J, Mullen M (2008) Structural equation modelling: guidelines for determining model fit. Electron J Bus Res Methods 6(1):53–60Google Scholar
  32. 32.
    Hu LT, Bentler PM (1999) Cut-off criteria for fit indices in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model 6(1):1–55CrossRefGoogle Scholar
  33. 33.
    Chen CF, Tsai D (2007) How destination image and evaluative factors affect behavioral intentions? Tour Manag 28(4):1115–1122CrossRefGoogle Scholar
  34. 34.
    Petty RE, Cacioppo JT (1986) The elaboration likelihood model of persuasion. Adv Exp Soc Psychol 19:123–205Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Graduate School of International Media, Communications and Tourism StudiesHokkaido UniversitySapporoJapan
  2. 2.Research Faculty of Media and CommunicationsHokkaido UniversitySapporoJapan

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