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Social media use and impact
during the holiday travel planning process
                     John Fotisa,
                Dimitrios Buhalisa, and
                   Nicos Rossidesb
      aSchool of Tourism, Bournemouth University, U.K.
           {jfotis, dbuhalis}@bournemouth.ac.uk
                    bMASMI Research Group

                 nicos.rossides@masmi.com



                       ENTER 2012 Research Track         1
Agenda
•   Introduction
•   Literature review
•   Research Questions and hypotheses
•   Methodology
•   Findings
•   Conclusions, limitations and implications




                              ENTER 2012 Research Track   2
Introduction
• Social media (SM): Phenomenal rise in popularity among internet
  users:
   o   Facebook: 800+ m users; 50%+ log in daily; 700+ billion minutes/month; 250+
       m photos uploaded daily (Facebook, 2012)
   o   Twitter: 175 m users; 250 m tweets daily (Twitter, 2011; 2012);
   o   YouTube: 800 m unique users/month; 3+ billion videos viewed daily; 48hours
       of video uploaded / minute (YouTube, 2012);
   o   170+ m blogs worldwide (BlogPulse, 2011); 3m new blogs /month
       (Technorati, 2011)
   o   TripAdvisor: 50+ m unique monthly visitors; 60+ m reviews (TripAdvisor
       2012).
• Tremendous impact on travel (Gretzel et al. 2008)
• “are taking an important role in travellers’ information search and
  decision-making behaviours” (Yoo et al. 2011, p. 526).
   o   23% of US Internet users were “somewhat” or “significantly influenced” by
       SM for their travel / holiday related decisions (eMarketer, 2010)
                                ENTER 2012 Research Track                          3
Literature review
• SM: “a group of Internet-based applications that build on the
  ideological and technological foundations of Web 2.0, and that allow
  the creation and exchange of User Generated Content” (Kaplan &
   Haenlein 2010, p.61).
• Types of SM (Constantinides, 2009; Fischer & Reuber, 2011; Kaplan &
   Haenlein 2010 ; Kim, Jeong, & Lee, 2010; Mangold & Faulds, 2009):
    o Social networking websites (e.g. Facebook, Linkedin)
    o Blogs
    o Content communities (e.g. YouTube, Flickr, Scrib, Slideshare, Delicious)
    o Collaborative projects (e.g. Wikipedia, Wikitravel)
    o Microblogs (e.g. Twitter)
    o Consumer review & rating websites (e.g. TripAdvisor, Epinions)
    o Internet fora (e.g. ThornTree, Fodor’s Travel Talk)
    o Virtual social worlds (e.g. . Second Life), and virtual game worlds (e.g. World
      of Warcraft). X
                                 ENTER 2012 Research Track                              4
Literature review
• Holiday travel related purchases: Complex due to the composite and
  experiential nature of the holiday travel product, involve high risks
  and as a result require extensive information search (Sirakaya &
  Woodside, 2005).
   o Consumers rely on other travellers’ experiences as a mean to increase the
     exchange utility and decrease uncertainty (Kotler, Bowen, & Maken, 2010;
     Litvin, Goldsmith, & Pan, 2008; Yoo, Lee, & Gretzel, 2007).
   o Content of virtual communities perceived similar to recommendations
     provided by friends, family and “like-minded souls” (Fernback & Thompson,
     1995; Wang, Yu, & Fesenmaier, 2002)
   o Vital information sources providing access to other travellers’ experiences
     (Chung & Buhalis, 2008; Yoo et al., 2011).
• Web 2.0: Explosion of SM popularity; enable expression and sharing
   o   Enable storytelling, a usual post-travel activity, on a ‘24/7’ basis to large
       audiences; provide a sense of belonging (Gretzel, Fesenmaier, & O'Leary,
       2006).
                                  ENTER 2012 Research Track                            5
Related work
• Gretzel, Yoo, & Purifoy (2007): Online reviews facilitate decision
  making: Increase travellers’ confidence; reduce risk; assist
  accommodation selection. Used throughout the travel planning
  process:
   o   Before trip: As a source of ideas, as a mean to narrow down choices, and
       post accommodation choice in order to confirm the choice made; During
       trip; after the trip to compare and share experiences; but also as an
       ongoing process even if there is no trip ahead.
• Vermeulen & Seegers (2009): During accommodation selection,
  consideration of a hotel is enhanced by exposure to both negative
  and positive consumer reviews.
• Mack, Blose, & Pan (2008): traditional WOM is more trustworthy
  than blog posts. Yoo et al (2009) and Del Chiappa (2011):
  trustworthiness of tourism-related blogs is second only to
  consumers’ reviews and ratings found in online travel agents’
  websites.                  ENTER 2012 Research Track                            6
Related work
• Yoo, Lee, Gretzel, & Fesenmaier (2009): User generated content is
  perceived as more credible when posted to official tourism bureau
  sites rather than in review sites, travel blogs social networking sites
  and content communities.
• White (2010): Travel related photos in Facebook generate interest to
  viewers and can very easily become part of the viewer’s travel plans.
Research gap
The majority of existing studies attempt to describe the role SM either
focusing on (a) Specific types of SM (e.g. Review sites, blogs); (b)
Specific communities (e.g. TripAdvisor), or (c) At a specific stage of the
travel planning process. No adequate academic research on the role
and impact of SM as a whole throughout the holiday travel planning
process.

                              ENTER 2012 Research Track                      7
Related work
Cox, Burgess, Sellitto, & Buultjens (2009)
• SM are mostly used before the trip (primarily for accommodation
  selection, rather than during the evaluation of destination choices).
  During and after the trip their use was very limited (data collection
  12/2007).
• User generated content was perceived as less trustworthy than
  traditional sources of information (i.e. official tourism websites and
  travel agents).
• Sampling issues (mailing list of an official tourism website),
  hypothetical and not actual travel behaviour.




                             ENTER 2012 Research Track                     8
Research questions and hypotheses
• RQ1: To what extent and for what reasons are SM used during the
  holiday travel planning process?
   o   H1: SM are predominantly used before the trip for information search
       purposes.
• RQ2: Do SM influence holiday plans?
   o   H2: The higher the perceived level of SM influence on holiday destination
       choice or accommodation choice, the more likely is that changes would be
       made to holiday plans.
• RQ3: Are SM more trustworthy than traditional sources of holiday
  related information?
   o   H3: Holiday travel related information provided in SM is more trustworthy
       than mass media advertising, travel agents and official tourism websites.




                                ENTER 2012 Research Track                          9
Methodology
• Data Collection (October 2010):
   o   Online questionnaire survey commercial online research panel
   o   900 panellists in 12 Former Soviet Union Republics (Azerbaijan, Belarus,
       Estonia, Georgia, Kazakstan, Latvia, Lithuania, Moldova, Russia, Ukraine,
       Uzbekistan)
   o   Returned: 368 questionnaires (41%), used: 346
   o   Screening: Have taken at least 1 holiday trip during last 12 months
   o   Intro statement: Examples of SM websites in six categories: Blogs, photo &
       video sharing websites, microblogs, wikis, social networking websites and
       travel review websites (Constantinides, 2009; Fischer & Reuber, 2011; Kim,
       Jeong, & Lee, 2010; Mangold & Faulds, 2009; Xiang & Gretzel 2010).




                                ENTER 2012 Research Track                           10
Methodology
• A number of questions to enable them recall their last holiday trip
• Measures:
   o   12 statements describing use of SM, 5 from Cox et al. (2009)
   o   Perceived level of SM influence on destination and accommodation choice:
       7 point scale (1=“Not Influential At All”; 7=“Very Influential” (Lo, Cheung, &
       Law, 2002).
   o   Trustworthiness of holiday travel related information sources: 13 sources
       via 7 point Likert scale (1=“Strongly Disagree”; 7=“Strongly Agree” (Cox et
       al., 2009).




                                  ENTER 2012 Research Track                             11
Research Findings
• Profile of sample
   o   Gender: 65.6% females; 34.4% males
   o   Age: 18.2% <25; 38.4% 25-39; 30.9% 40-54; 12.5% 55+
   o   Education: 30.3% Completed secondary school; 69.7% University graduates
   o   Country of residence: 64.2% Russia; 35.8% Other FSU Republics. Proportion
       approximates distribution of actual internet users between the two regions
       (InternetWorldStats, 2010).
   o   Level of SM use: 49% visit SM websites several times a day; 36% almost
       every day, 9% only sometimes per week, and 3% very rarely.




                                ENTER 2012 Research Track                       12
Research Findings
A. SM usage levels and reasons for use



       POST-TRIP




                                                                         PRE-TRIP




    As per Cox et al. (2009)                                        DURING TRIP


  H1: SM are predominantly used before the trip for information search
  purposes. H1 Rejected
                                 ENTER 2012 Research Track                          13
Research Findings
A. SM usage levels and reasons for use
   No significant differences in usage levels among age groups, level
   of education, and region of residence, except:
   Pre-trip: To confirm that I made a good destination choice
   Male                                                   24%
                                                                                    χ2(1, Ν = 346) = 4.64, p = .03
   Female                                                 35%


                                       During trip:                                       Post-trip:
                         To provide comments and reviews about          To share my experiences and photos with my
                                  my holiday experience                           friends and / or relatives
   Below 25                                25.4%                                           23.8%
   25-39                                   20.3%                                           36.1%
   40-54                                    9.3                                            22.4%
   55 and over                              9.3                                            11.6%
                               χ2(3, Ν = 346) = 10.62, p = .01                 χ2(3, Ν = 346) = 12.28, p = .01




                                            ENTER 2012 Research Track                                                14
Research Findings
B. Perceived level of SM influence on holiday plans
                                                                   Influence on                Influence on
                                                                 Destination choice       Accommodation choice
                                                                               Mean scores* (SD)
All respondents                                                     4.84 (1.63)                  4.61 (1.81)
Before your final decisions about your last holiday, did
you make any changes to your original holiday plans
because of other travellers’ opinions, reviews, photos,
videos, or other information that you found in SM
websites? (n=273)
I am not sure / cannot remember
                                                    2.2%              2.75 (1.50)             2.75 (2.36)
   if I made any changes
I did not make any changes                         33.7%              4.10 (1.80)             3.93 (1.91)
I did make few changes
                                                   49.5%              5.25 (1.37)             5.02 (1.58)
   to my original holiday plans
I did make significant changes
                                                   14.7%              5.35 (1.21)             5.00 (1.73)
   to my original holiday plans
Pearson Correlation test:                                      1 r(268) = .34, p <.001    r(268) = .27, p <.001 2
(*) 7-point scale: 1=“Not influential at all” to 7=“Very Influential”

1   2   As influence from SM on destination / accommodation choice increases the
        more likely is that there are changes in the holiday plans.
        H2: The higher the perceived level of SM influence on holiday destination
        choice or accommodation choice, the more likely is that changes would be
        made to holiday plans. H2 Accepted. Research Track
                                       ENTER 2012                                                                   15
Research Findings
C. Trustworthiness of travel related information sources
 I trust information about holidays provided by… (N=346)                                        Mean* (SD)

 Friends and relatives                                                                          6.36 (1.14)
 Information provided by other travellers in various websites                                   5.15 (1.41)
 SM                                                                                             4.61 (1.37)
                                                                                           6                  3
 Official tourism websites (state / government owned)                                           4.36 (1.57)
 Shows or documentaries in TV, in radio, or articles in newspapers and magazines       7        3.97 (1.45)       4
 Travel agents                                                                                  3.83 (1.36)
                                                                                   8                                  5
 Advertisements in TV, radio, newspapers and magazines                                          3.56 (1.35)
 (*) 7-point Likert scale: 1=Strongly Disagree, 7 = Strongly Agree)

      3   t(345) = -9.442, p = .000          4   t(345) = -18.019, p = .000            5   t(345) = -21.890, p = .000
      6   t(345) = -3.024, p = .003          7   t(345) = -10.634, p = .000            8   t(345) = -14.453, p = .000

 H3: Holiday travel related information provided in SM is more trustworthy than mass
 media advertising, travel agents and official tourism websites.         H3 Accepted

                                                 ENTER 2012 Research Track                                            16
Conclusions
• SM are used during all stages of the holiday planning process
  (before, during and after holidays) however, to a different extent and
  for a different purpose.
• In FSU Republics, SM are mostly used: After the trip for sharing
  experiences and photos, and during the trip to stay connected with
  friends. Possible reasons contributing:
   o   Russians’ high level of engagement with social networking websites
       (comScore, 2010)
   o   Very low individualist / very high collectivist nature of the Russian culture
       (Hofstede, Hofstede, & Minkov, 2010).
• In relation to Cox et al. (2009): Differences in terms of SM use among
  national markets, supporting claim by Gretzel et al. (2008). Also
  indications for differences in trustworthiness of SM.
   o   Such differences may not be present in closely related national cultures
       (e.g. Russians vs other F.S.U. Republics), but more evident between distant
       national cultures (e.g. Australians and Russians).
                                  ENTER 2012 Research Track                            17
Conclusions
• Strong correlation between social media level of influence on
  destination and accommodation choice, and the changes made in
  holiday plans before final decisions were taken.
   o   As the perceived level of influence from social media on destination /
       accommodation choice increases, the more likely is that there were
       changes to holiday plans in terms of destination / accommodation
       selection.
• Friends and relatives evidence the highest level of trustworthiness
  among the information sources examined, followed by information
  from other travellers in various websites.
   o   In contrast to the findings of Cox et al. (2009), this study found that
       information from other travellers in various websites is trusted more than
       official tourism websites, and travel agents.




                                 ENTER 2012 Research Track                          18
Managerial implications
• SM are being used during all stages of the holiday travel planning
  process, however to a different extent and for a different scope.
• In combination with Cox et al:
   o   Preliminary indications: National source tourism markets behave differently
       in terms of scope of use, as well as in levels of trustworthiness among travel
       related information sources. Therefore:
          National source markets should be studied individually prior to the design and
          implementation of SM campaigns.
• The “during the holidays” stage is a challenging domain: Lower SM
  use that the other stages. Creative strategies needed to stimulate
  increase use
• No need for major differentiation in SM campaigns aiming at
  travellers in those two regions, since minor differences between
  Russia and the other F.S.U. Republics source markets in terms of the
  impact of SM on the holiday planning process:

                                  ENTER 2012 Research Track                                19
Limitations
• Findings apply only to the specific geographical context (F.S.U.
  Republics) and therefore cannot be generalised especially to other
  national markets with distant cultural characteristics
• Not a random sample due to the self-response nature of the specific
  online panel survey;
• No treatment for non-responses
Further research
• Equal research emphasis in all stages of the travel planning process.
• Need of cross-cultural studies to substantiate claims about
  differences in SM use between national cultures.




                             ENTER 2012 Research Track                    20
Thank you

    jfotis@bournemouth.ac.uk
          School of Tourism
    Bournemouth University, UK



    Visit the BU eTourism Lab:
www.bournemouth.ac.uk/etourismlab




         ENTER 2012 Research Track   21

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Social media use and impact during the holiday travel planning process

  • 1. Social media use and impact during the holiday travel planning process John Fotisa, Dimitrios Buhalisa, and Nicos Rossidesb aSchool of Tourism, Bournemouth University, U.K. {jfotis, dbuhalis}@bournemouth.ac.uk bMASMI Research Group nicos.rossides@masmi.com ENTER 2012 Research Track 1
  • 2. Agenda • Introduction • Literature review • Research Questions and hypotheses • Methodology • Findings • Conclusions, limitations and implications ENTER 2012 Research Track 2
  • 3. Introduction • Social media (SM): Phenomenal rise in popularity among internet users: o Facebook: 800+ m users; 50%+ log in daily; 700+ billion minutes/month; 250+ m photos uploaded daily (Facebook, 2012) o Twitter: 175 m users; 250 m tweets daily (Twitter, 2011; 2012); o YouTube: 800 m unique users/month; 3+ billion videos viewed daily; 48hours of video uploaded / minute (YouTube, 2012); o 170+ m blogs worldwide (BlogPulse, 2011); 3m new blogs /month (Technorati, 2011) o TripAdvisor: 50+ m unique monthly visitors; 60+ m reviews (TripAdvisor 2012). • Tremendous impact on travel (Gretzel et al. 2008) • “are taking an important role in travellers’ information search and decision-making behaviours” (Yoo et al. 2011, p. 526). o 23% of US Internet users were “somewhat” or “significantly influenced” by SM for their travel / holiday related decisions (eMarketer, 2010) ENTER 2012 Research Track 3
  • 4. Literature review • SM: “a group of Internet-based applications that build on the ideological and technological foundations of Web 2.0, and that allow the creation and exchange of User Generated Content” (Kaplan & Haenlein 2010, p.61). • Types of SM (Constantinides, 2009; Fischer & Reuber, 2011; Kaplan & Haenlein 2010 ; Kim, Jeong, & Lee, 2010; Mangold & Faulds, 2009): o Social networking websites (e.g. Facebook, Linkedin) o Blogs o Content communities (e.g. YouTube, Flickr, Scrib, Slideshare, Delicious) o Collaborative projects (e.g. Wikipedia, Wikitravel) o Microblogs (e.g. Twitter) o Consumer review & rating websites (e.g. TripAdvisor, Epinions) o Internet fora (e.g. ThornTree, Fodor’s Travel Talk) o Virtual social worlds (e.g. . Second Life), and virtual game worlds (e.g. World of Warcraft). X ENTER 2012 Research Track 4
  • 5. Literature review • Holiday travel related purchases: Complex due to the composite and experiential nature of the holiday travel product, involve high risks and as a result require extensive information search (Sirakaya & Woodside, 2005). o Consumers rely on other travellers’ experiences as a mean to increase the exchange utility and decrease uncertainty (Kotler, Bowen, & Maken, 2010; Litvin, Goldsmith, & Pan, 2008; Yoo, Lee, & Gretzel, 2007). o Content of virtual communities perceived similar to recommendations provided by friends, family and “like-minded souls” (Fernback & Thompson, 1995; Wang, Yu, & Fesenmaier, 2002) o Vital information sources providing access to other travellers’ experiences (Chung & Buhalis, 2008; Yoo et al., 2011). • Web 2.0: Explosion of SM popularity; enable expression and sharing o Enable storytelling, a usual post-travel activity, on a ‘24/7’ basis to large audiences; provide a sense of belonging (Gretzel, Fesenmaier, & O'Leary, 2006). ENTER 2012 Research Track 5
  • 6. Related work • Gretzel, Yoo, & Purifoy (2007): Online reviews facilitate decision making: Increase travellers’ confidence; reduce risk; assist accommodation selection. Used throughout the travel planning process: o Before trip: As a source of ideas, as a mean to narrow down choices, and post accommodation choice in order to confirm the choice made; During trip; after the trip to compare and share experiences; but also as an ongoing process even if there is no trip ahead. • Vermeulen & Seegers (2009): During accommodation selection, consideration of a hotel is enhanced by exposure to both negative and positive consumer reviews. • Mack, Blose, & Pan (2008): traditional WOM is more trustworthy than blog posts. Yoo et al (2009) and Del Chiappa (2011): trustworthiness of tourism-related blogs is second only to consumers’ reviews and ratings found in online travel agents’ websites. ENTER 2012 Research Track 6
  • 7. Related work • Yoo, Lee, Gretzel, & Fesenmaier (2009): User generated content is perceived as more credible when posted to official tourism bureau sites rather than in review sites, travel blogs social networking sites and content communities. • White (2010): Travel related photos in Facebook generate interest to viewers and can very easily become part of the viewer’s travel plans. Research gap The majority of existing studies attempt to describe the role SM either focusing on (a) Specific types of SM (e.g. Review sites, blogs); (b) Specific communities (e.g. TripAdvisor), or (c) At a specific stage of the travel planning process. No adequate academic research on the role and impact of SM as a whole throughout the holiday travel planning process. ENTER 2012 Research Track 7
  • 8. Related work Cox, Burgess, Sellitto, & Buultjens (2009) • SM are mostly used before the trip (primarily for accommodation selection, rather than during the evaluation of destination choices). During and after the trip their use was very limited (data collection 12/2007). • User generated content was perceived as less trustworthy than traditional sources of information (i.e. official tourism websites and travel agents). • Sampling issues (mailing list of an official tourism website), hypothetical and not actual travel behaviour. ENTER 2012 Research Track 8
  • 9. Research questions and hypotheses • RQ1: To what extent and for what reasons are SM used during the holiday travel planning process? o H1: SM are predominantly used before the trip for information search purposes. • RQ2: Do SM influence holiday plans? o H2: The higher the perceived level of SM influence on holiday destination choice or accommodation choice, the more likely is that changes would be made to holiday plans. • RQ3: Are SM more trustworthy than traditional sources of holiday related information? o H3: Holiday travel related information provided in SM is more trustworthy than mass media advertising, travel agents and official tourism websites. ENTER 2012 Research Track 9
  • 10. Methodology • Data Collection (October 2010): o Online questionnaire survey commercial online research panel o 900 panellists in 12 Former Soviet Union Republics (Azerbaijan, Belarus, Estonia, Georgia, Kazakstan, Latvia, Lithuania, Moldova, Russia, Ukraine, Uzbekistan) o Returned: 368 questionnaires (41%), used: 346 o Screening: Have taken at least 1 holiday trip during last 12 months o Intro statement: Examples of SM websites in six categories: Blogs, photo & video sharing websites, microblogs, wikis, social networking websites and travel review websites (Constantinides, 2009; Fischer & Reuber, 2011; Kim, Jeong, & Lee, 2010; Mangold & Faulds, 2009; Xiang & Gretzel 2010). ENTER 2012 Research Track 10
  • 11. Methodology • A number of questions to enable them recall their last holiday trip • Measures: o 12 statements describing use of SM, 5 from Cox et al. (2009) o Perceived level of SM influence on destination and accommodation choice: 7 point scale (1=“Not Influential At All”; 7=“Very Influential” (Lo, Cheung, & Law, 2002). o Trustworthiness of holiday travel related information sources: 13 sources via 7 point Likert scale (1=“Strongly Disagree”; 7=“Strongly Agree” (Cox et al., 2009). ENTER 2012 Research Track 11
  • 12. Research Findings • Profile of sample o Gender: 65.6% females; 34.4% males o Age: 18.2% <25; 38.4% 25-39; 30.9% 40-54; 12.5% 55+ o Education: 30.3% Completed secondary school; 69.7% University graduates o Country of residence: 64.2% Russia; 35.8% Other FSU Republics. Proportion approximates distribution of actual internet users between the two regions (InternetWorldStats, 2010). o Level of SM use: 49% visit SM websites several times a day; 36% almost every day, 9% only sometimes per week, and 3% very rarely. ENTER 2012 Research Track 12
  • 13. Research Findings A. SM usage levels and reasons for use POST-TRIP PRE-TRIP As per Cox et al. (2009) DURING TRIP H1: SM are predominantly used before the trip for information search purposes. H1 Rejected ENTER 2012 Research Track 13
  • 14. Research Findings A. SM usage levels and reasons for use No significant differences in usage levels among age groups, level of education, and region of residence, except: Pre-trip: To confirm that I made a good destination choice Male 24% χ2(1, Ν = 346) = 4.64, p = .03 Female 35% During trip: Post-trip: To provide comments and reviews about To share my experiences and photos with my my holiday experience friends and / or relatives Below 25 25.4% 23.8% 25-39 20.3% 36.1% 40-54 9.3 22.4% 55 and over 9.3 11.6% χ2(3, Ν = 346) = 10.62, p = .01 χ2(3, Ν = 346) = 12.28, p = .01 ENTER 2012 Research Track 14
  • 15. Research Findings B. Perceived level of SM influence on holiday plans Influence on Influence on Destination choice Accommodation choice Mean scores* (SD) All respondents 4.84 (1.63) 4.61 (1.81) Before your final decisions about your last holiday, did you make any changes to your original holiday plans because of other travellers’ opinions, reviews, photos, videos, or other information that you found in SM websites? (n=273) I am not sure / cannot remember 2.2% 2.75 (1.50) 2.75 (2.36) if I made any changes I did not make any changes 33.7% 4.10 (1.80) 3.93 (1.91) I did make few changes 49.5% 5.25 (1.37) 5.02 (1.58) to my original holiday plans I did make significant changes 14.7% 5.35 (1.21) 5.00 (1.73) to my original holiday plans Pearson Correlation test: 1 r(268) = .34, p <.001 r(268) = .27, p <.001 2 (*) 7-point scale: 1=“Not influential at all” to 7=“Very Influential” 1 2 As influence from SM on destination / accommodation choice increases the more likely is that there are changes in the holiday plans. H2: The higher the perceived level of SM influence on holiday destination choice or accommodation choice, the more likely is that changes would be made to holiday plans. H2 Accepted. Research Track ENTER 2012 15
  • 16. Research Findings C. Trustworthiness of travel related information sources I trust information about holidays provided by… (N=346) Mean* (SD) Friends and relatives 6.36 (1.14) Information provided by other travellers in various websites 5.15 (1.41) SM 4.61 (1.37) 6 3 Official tourism websites (state / government owned) 4.36 (1.57) Shows or documentaries in TV, in radio, or articles in newspapers and magazines 7 3.97 (1.45) 4 Travel agents 3.83 (1.36) 8 5 Advertisements in TV, radio, newspapers and magazines 3.56 (1.35) (*) 7-point Likert scale: 1=Strongly Disagree, 7 = Strongly Agree) 3 t(345) = -9.442, p = .000 4 t(345) = -18.019, p = .000 5 t(345) = -21.890, p = .000 6 t(345) = -3.024, p = .003 7 t(345) = -10.634, p = .000 8 t(345) = -14.453, p = .000 H3: Holiday travel related information provided in SM is more trustworthy than mass media advertising, travel agents and official tourism websites. H3 Accepted ENTER 2012 Research Track 16
  • 17. Conclusions • SM are used during all stages of the holiday planning process (before, during and after holidays) however, to a different extent and for a different purpose. • In FSU Republics, SM are mostly used: After the trip for sharing experiences and photos, and during the trip to stay connected with friends. Possible reasons contributing: o Russians’ high level of engagement with social networking websites (comScore, 2010) o Very low individualist / very high collectivist nature of the Russian culture (Hofstede, Hofstede, & Minkov, 2010). • In relation to Cox et al. (2009): Differences in terms of SM use among national markets, supporting claim by Gretzel et al. (2008). Also indications for differences in trustworthiness of SM. o Such differences may not be present in closely related national cultures (e.g. Russians vs other F.S.U. Republics), but more evident between distant national cultures (e.g. Australians and Russians). ENTER 2012 Research Track 17
  • 18. Conclusions • Strong correlation between social media level of influence on destination and accommodation choice, and the changes made in holiday plans before final decisions were taken. o As the perceived level of influence from social media on destination / accommodation choice increases, the more likely is that there were changes to holiday plans in terms of destination / accommodation selection. • Friends and relatives evidence the highest level of trustworthiness among the information sources examined, followed by information from other travellers in various websites. o In contrast to the findings of Cox et al. (2009), this study found that information from other travellers in various websites is trusted more than official tourism websites, and travel agents. ENTER 2012 Research Track 18
  • 19. Managerial implications • SM are being used during all stages of the holiday travel planning process, however to a different extent and for a different scope. • In combination with Cox et al: o Preliminary indications: National source tourism markets behave differently in terms of scope of use, as well as in levels of trustworthiness among travel related information sources. Therefore: National source markets should be studied individually prior to the design and implementation of SM campaigns. • The “during the holidays” stage is a challenging domain: Lower SM use that the other stages. Creative strategies needed to stimulate increase use • No need for major differentiation in SM campaigns aiming at travellers in those two regions, since minor differences between Russia and the other F.S.U. Republics source markets in terms of the impact of SM on the holiday planning process: ENTER 2012 Research Track 19
  • 20. Limitations • Findings apply only to the specific geographical context (F.S.U. Republics) and therefore cannot be generalised especially to other national markets with distant cultural characteristics • Not a random sample due to the self-response nature of the specific online panel survey; • No treatment for non-responses Further research • Equal research emphasis in all stages of the travel planning process. • Need of cross-cultural studies to substantiate claims about differences in SM use between national cultures. ENTER 2012 Research Track 20
  • 21. Thank you jfotis@bournemouth.ac.uk School of Tourism Bournemouth University, UK Visit the BU eTourism Lab: www.bournemouth.ac.uk/etourismlab ENTER 2012 Research Track 21