Proceedings of 7th Asia-Pacific Business Research Conference 25 - 26 August 2014, Bayview Hotel, Singapore ISBN: 978-1-922069-58-0 A Survey of Social Media Use by Travellers Visiting Thailand Voraphan Raungpaka * and Thanachart Ritbumroong ** Social media offers a platform for travellers to share their information about experiences and opinions about their vacation trips. This information is, in turn, used by travellers in organizing and taking vacation trips. This research provides empirical evidences to test theoretical model explaining the use of social media by travellers during their vacation trips. Three theoretical antecedents were identified from previous literature including benefits, costs, and incentives of using social media that explain use of social media in organizing and taking vacation trips. A total of 394 questionnaires were collected from travellers who visited Thailand. Rather asking respondent to think back about what they did during their trips, a prospective approach of data collection employed in this research would help increase the degree of validity. The results showed that benefits and incentives of using social media were two main significant antecedents of the social media use. Travelling social media sites need to address benefits of using social media and offer incentives to users. 1. Introduction Social media has become a mean for travellers to search for information (Leung et al., 2013). It plays an important role in influencing how travellers plan their trips such as a place to stay or a place to visit. In order to enhance the quality of tour, travellers searched information from sources such as newspaper, magazines, guidebooks, and tourism agencies (Jacobsen and Munar, 2012). With the advancement of information technology, travellers have shifted from these traditional sources and pay more attention to information from social media websites. As Xiang and Gretzel (2010) posited that social media constituted to the online tourism domain by making travel information largely available, travellers, the impact of social media on tourism industry is quite apparent. Travellers share their information about experiences and opinions on social media sites. They also use this information for planning their trip and evaluate their choices of place to go or stay. New business models have introduced owing to the popularity of social media in this industry. Airbnb (https://www.airbnb.com/) has launched the social media site allowing people to post their place for rent on the website. It utilized the power of social media by using the consumers’ profiles as part of the product offering (Yannopoulou et al., 2013). TripAdvisor (http://www.tripadvisor.com/) is a website allowing travellers to connect with their friends and share their traveling experiences, suggestions, or advices (Miguéns et al., 2008). Tuominen (2011) conducted a study to investigate the influence of TripAdvisor on hotel performance. He found that there are correlations between hotel performance and the number of reviews given and with the ratings of the reviews. The findings imply the important role of social media websites on influencing travellers’ decisions. Tourism businesses are now facing challenges resulting from the increasing usage of social media. Parra-López (2011) argued that understanding the antecedents of traveler’s use of social media is vital for organization managers and destination policy makers. They proposed a theoretical model explaining intention to use social media in organizing and taking vacation trips. Three main antecedents of this intention were hypothesized as benefits of use, costs of use, and incentives on use and adoption. The results of analysis showed that the *Dr. Voraphan Raungpaka, College of Management, Mahidol University, Thailand. Email: voraphan.rau@mahidol.ac.th **Dr. Thanachart Ritbumroong, Graduate School of Management and Innovation, King Mongkut's University of Technology Thonburi, Thailand, Email: thanachart.ritbumroong@gmail.com Proceedings of 7th Asia-Pacific Business Research Conference 25 - 26 August 2014, Bayview Hotel, Singapore ISBN: 978-1-922069-58-0 intention to use was determined only by perceived benefits of use and incentives. This study attempts to validate this model by testing hypothesized relationships between the three antecedents and actual use of social media by travellers. Data were collected from travellers during their trip in Thailand. By using actual usage data, this model can be verified and revised to reflect travellers’ real behaviors. 2. Literature Review This study adopted and modified the theoretical model proposed by Parra-López et al. (2011) explaining the antecedents of intention to use social media in organizing and taking vacation trips. Three theoretical antecedents were identified from previous literature including benefits, costs, and incentives of using social media. This research employed actual use of social media as the dependent variable instead of intention to use social media in organizing and taking vacation trips. As there are dimensions of each construct in this model (discussed in the following sections), the research model in this study is conceptualized as shown in Figure 1. Figure 1: Research Model Function al Social Benefits H1 Hedonic Effort H2 Difficulty Costs Use Privacy H3 Predispositio n Trust Altruism Access Environmen t Incentive s Proceedings of 7th Asia-Pacific Business Research Conference 25 - 26 August 2014, Bayview Hotel, Singapore ISBN: 978-1-922069-58-0 2.1 Use of Social Media in Organizing and Taking Vacation Trips Fotis et al. (2012) investigated the use of social media by travellers during the holiday planning process. A total of 346 respondents completed online questionnaire survey. The results showed that most respondents used at least one social media website during the last 12 months. They classified the travel planning process into three stages; before, during, and after the trip. The findings suggested that social media was used mostly after the trip to share experiences and photos with friends and other travellers. They also found evidences showing the influence of social media on holiday planning process. The results of their work provided significant implications regarding the impacts of social media usage on travel planning. Nevertheless, the study did not provide explanations on what factors influent the use of social media in planning holiday trips. This study attempted to understand what influent travellers to use social media in organizing and taking vacation trips. 2.2 Benefits of Using Social Media The model proposed by Parra-López et al. (2011) was developed from the work of Wang and Fesenmaier (2004a) which focused on needs of members to participate in online travel communities. These needs were identified as functional needs, social needs, psychological needs, and hedonic needs. Functional needs involve fulfillment of specific activities such as information seeking, information exchange, and information sharing. Social needs deal with communication and relationship among members. Psychological needs are fulfillment related to a sense of belonging, identity expression, and a sense of affiliation. Hedonic needs cover needs for enjoyment and entertainment purposes. In the work of Parra-López et al. (2011), these four fundamental needs were conceptualized as benefits of using social media including functional benefits, social benefits, and psychological and hedonic benefits. Functional benefits were operationalized to definitions discussed in previous literature (Goldsmith and Horowitz, 2006, Gretzel et al., 2007, Hyan Yoo and Gretzel, 2008, Wang and Fesenmaier, 2004b). These benefits involve with activities related to acquiring and sharing information specifically to organizing and taking trips. Definitions of social benefits refer to how travellers use social media to connect with others with similar interests (Jeong, 2008, Wang and Fesenmaier, 2004b). Parra-López et al. (2011) have combined psychological and hedonic needs as one common type of benefits dealing with feeling and psychological effects from using social media. In this regard, the following hypothesis will be tested. Hypothesis H1: Benefits of using social media is positively related to actual use of social media in organizing and taking vacation trips 2.3 Costs of Using Social Media Parra-López et al. (2011) included a set of variables related to costs of using social media. They were hypothesized to have negative effects on usage intention. Three types of costs were derived from previous literature to be incorporated into costs of using social media; effort costs, difficulty of use, and loss of privacy. Effort costs were referred from the works of Miguéns et al. (2008) and Patterson and Smith (2001). These costs refer to personal effort, time, and monetary spent using social media for organizing and taking trips. Another type of costs is difficulty of use. It is argued that complexity and difficulty in using social media would discourage travellers to share their experiences online (Gefen and Straub, Proceedings of 7th Asia-Pacific Business Research Conference 25 - 26 August 2014, Bayview Hotel, Singapore ISBN: 978-1-922069-58-0 2000, Lee et al., 2003). In addition to effort costs and difficulty of use, loss of privacy is another concern of travellers in using social media. Risk of losing privacy would undermine social media use of travellers (Gross and Acquisti, 2005). It can be presumed that costs of using media could discourage travellers to use social media in planning their trips. Hence, the following hypothesis will be tested. Hypothesis H2: Costs of using social media is positively related to actual use of social media in organizing and taking vacation trips 2.4 Incentives of Using Social Media Parra-López et al. (2011) included incentives of using social media as one of main constructs influencing the use of social media in organizing and taking vacation trips. The incentives include predisposition, trust, altruism, access, socio-technical environment subconstructs. Predisposition incentives refer to the level of knowledge and skills of travellers allowing them to use social media sites to organize and take their trips easily (Lee et al., 2009). Trust has been largely discussed in previous studies to affect social media usage (Chen, 2006). It was argued to influence social media in the tourism context. Altruism incentives are associated to the needs to contribute to online society (Batson et al., 2002). Accessibility is one of factors important to encourage people to share online (Wasko and Faraj, 2005). It is also included as one of the incentives of using social media in the travelling context. Lastly, socio-technical environment was also considered as incentives to encourage travellers in using social media in organizing and taking vacation trips. The technological level would contribute to the use of social media. (Chung and Buhalis, 2008). Thus, the influential role of these incentives will be hypothesized as following. Hypothesis H3: Incentives of using social media is positively related to actual use of social media in organizing and taking vacation trips 3. The Methodology This research is part of a group assignment in Statistics and Business Research Methodology at Srinakharinwirot University, Thailand (One of the authors taught this course). Students were assigned to collect real data from the same set of questionnaires and present the findings by using statistics techniques which they learned in the class. They collected data from travellers who visited Thailand by explaining the questionnaire and asking them to provide their answers. A total of 394 complete questionnaires were acquired. Data collected by students in the class were consolidated and used to test the research framework proposed in this paper. Survey instruments were developed based on previous studies. Items measuring use of social media were adopted from Fotis et al. (2012). Items for the three antecedents were from Parra-López et al. (2011). 4. The Findings A PLS approach to Structural Equation Modeling (SEM) with the use of smartPLS was employed to test the proposed research framework. The data analysis followed the guidelines recommended by Henseler et al. (2009). All measurement models were assessed for their reliability. Composite reliability and AVE used to assess the reliability and validity of scales in path models from the three cases. Composite reliability and AVE are suggested not to be lower than 0.6 and 0.5, respectively. Details of the reliability assessment will be furnished upon request. Properties of all constructs are reported in Proceedings of 7th Asia-Pacific Business Research Conference 25 - 26 August 2014, Bayview Hotel, Singapore ISBN: 978-1-922069-58-0 Table 1 and Table 2. Although the sub-constructs passed the criteria suggested, AVE of second-order constructs did not meet the threshold. This suggests a problem with instruments. Some questions may need to be refined to develop a more robust measurement model. The results of data analysis show that COSTS is found not to be significantly related to USAGE (p-value = 0.018). Benefits and Incentives appear to be two significant determinant of social media usage of travellers visiting Thailand (p-value = 0.00 and 0.00, respectively). Table 1: Properties of the first order constructs Construct Item Loading Functional benefit BFUNC1 BFUNC2 BFUNC3 BSOC1 BSOC2 BSOC3 BHED1 BHED2 CEFF1 CEFF2 CEFF3 CDIFF CPRIV1 CPRIV2 CPRIV3 IPRD1 IPRD2 IPRD3 CDIFF ITRS1 ITRS2 IALT1 IALT2 IALT3 IACC1 IACC2 IACC3 IENV1 IENV2 Usage1 Usage2 Usage3 0.89 0.88 0.86 0.84 080 0.44 0.90 0.85 0.82 0.82 0.79 1.00 0.78 0.74 0.79 0.85 0.86 0.80 1.00 0.90 0.88 0.43 0.82 0.82 0.79 0.51 0.80 0.90 0.90 0.81 0.74 0.65 Social benefit Psychological and hedonic benefit Effort costs Difficulty costs Privacy costs Predisposition incentives Difficulty costs Trust incentives Altruism incentives Access incentives Environment incentives Usage Composite Reliability 0.907 0.765 0.745 0.510 0.865 0.763 0.852 0.658 1.00 0.805 1.00 0.579 0.874 0.698 1.00 0.884 1.00 0.792 0.746 0.513 0.749 0.507 0.892 0.805 0.779 0.542 AVE Proceedings of 7th Asia-Pacific Business Research Conference 25 - 26 August 2014, Bayview Hotel, Singapore ISBN: 978-1-922069-58-0 Table 2: Second order constructs Item CR AVE BFUNC BSOC BHED CEFF CDIFF CPRIV IPRD1 ITRS1 IALT3 IACC3 IENV2 BENEF 0.871 0.469 0.86 0.79 0.85 COSTS 0.844 0.438 INCENT 0.857 0.361 0.86 0.58 0.86 0.74 0.64 0.75 0.82 0.77 Figure 2: Results of model testing Benefit Costs Incentive 0.253** -0.046 ns Usage 0.453** * p < 0.01, ** p < 0.05, ns : non-significant at the 0.05 level 5. Summary and Conclusions This research attempted to continue the work of Parra-López et al. (2011) by testing their proposed model using actual use of social media in organizing and planning vacation trips. With the actual use as the dependent variable, the research model is re-tested and verified to be more robust in explaining and predicting use of social media in travel planning. Data were collected from travellers while they were travelling in Thailand. SEM was employed to test the research model. The results were similar to the findings in the work of Parra-López et al. (2011). Only benefits and incentives of using social media were found to be significant determinants of social media use in vacation planning. The results suggest that travellers found social media to be beneficial in organizing their trips. Incentives to use social media also play an important role in encourage travellers to utilize benefits of social media to help them better plan their trips. It is interesting to see that costs were not significantly associated to social media use. This probably owe to the fact that social media use is quite ubiquitous. Costs of using social media may be immaterial to travellers. Proceedings of 7th Asia-Pacific Business Research Conference 25 - 26 August 2014, Bayview Hotel, Singapore ISBN: 978-1-922069-58-0 The findings offer some managerial implications. Business needs to consider three fundamental needs including functional needs, social needs, and psychological and hedonic needs by providing user with experiences to address all these needs. Moreover, travelling social media sites need to enable users to easily share their experiences and photos online during their trip planning process. This would address the perspective of social benefits and altruism incentives which will encourage the level of social media use. Two limitations of this study should be noted. Firstly, respondents were only travellers who visited Thailand. This may limit generalizability. Future research should conduct a study to cover a broader scope of travellers in terms of a geographical context. Secondly, only questionnaire survey was employed to collect data. A qualitative research method may be considered to gain deeper understanding how travellers use social media for their vacation trips. This research provides empirical evidences to validate the theoretical model explaining use of social media in organizing and planning vacation trips. Future research may include other factors to the model in order to enhance the robustness of this model. References Batson, C. D., Ahmad, N. & Tsang, J. A. 2002. Four motives for community involvement. Journal of Social Issues, 58, 429-445. Chen, C. 2006. Identifying significant factors influencing consumer trust in an online travel site. Information Technology & Tourism, 8, 197-214. Chung, J. & Buhalis, D. 2008. A study of online travel community and web 2.0: Factors affecting participation and attitude. Proceedings ENTER2008, 267-278. Fotis, J., Buhalis, D. & Rossides, N. 2012. Social media use and impact during the holiday travel planning process, Springer-Verlag. Gefen, D. & Straub, D. W. 2000. The relative importance of perceived ease of use in is adoption: A study of e-commerce adoption. Journal of the Association for Information Systems, 1, 8. Goldsmith, R. E. & Horowitz, D. 2006. Measuring motivations for online opinion seeking. Journal of interactive advertising, 6, 2-14. Gretzel, U., Yoo, K. H. & Purifoy, M. 2007. Online travel review study: Role and impact of online travel reviews. Gross, R. & Acquisti, A. Information revelation and privacy in online social networks. Proceedings of the 2005 ACM workshop on Privacy in the electronic society, 2005. ACM, 71-80. Henseler, J. R., Ringle, C. M. & Sinkovics, R. R. 2009. The use of partial least sqaures path model in internaltional marketing. Advances in International Marketing, 20, 277-319. Hyan Yoo, K. & Gretzel, U. 2008. The influence of perceived credibility on preferences for recommender systems as sources of advice. Information Technology & Tourism, 10, 133-146. Jacobsen, J. K. S. & Munar, A. M. 2012. Tourist information search and destination choice in a digital age. Tourism Management Perspectives, 1, 39-47. Jeong, S. 2008. Collective production of public goods in online travel communities. Information Technology & Tourism, 10, 355-373. Lee, H., Koh, W. & Ghoneim, A. 2009. Beyond user acceptance: The determinants of the intention to produce user created contents on the internet. Lee, Y., Kozar, K. A. & Larsen, K. R. 2003. The technology acceptance model: Past, present, and future. Communications of the Association for Information Systems, 12, 50. Proceedings of 7th Asia-Pacific Business Research Conference 25 - 26 August 2014, Bayview Hotel, Singapore ISBN: 978-1-922069-58-0 Leung, D., Law, R., Van Hoof, H. & Buhalis, D. 2013. Social media in tourism and hospitality: A literature review. Journal of Travel & Tourism Marketing, 30, 3-22. Miguéns, J., Baggio, R. & Costa, C. 2008. Social media and tourism destinations: Tripadvisor case study. Advances in Tourism Research. Parra-López, E., Bulchand-Gidumal, J., Gutiérrez-Taño, D. & Díaz-Armas, R. 2011. Intentions to use social media in organizing and taking vacation trips. Computers in Human Behavior, 27, 640-654. Patterson, P. G. & Smith, T. 2001. Relationship benefits in service industries: A replication in a southeast asian context. Journal of Services Marketing, 15, 425-443. Tuominen, P. 2011. The influence of tripadvisor consumer-generated travel reviews on hotel performance. Wang, Y. & Fesenmaier, D. R. 2004a. Modeling participation in an online travel community. Journal of Travel Research, 42, 261-270. Wang, Y. & Fesenmaier, D. R. 2004b. Towards understanding members’ general participation in and active contribution to an online travel community. Tourism Management, 25, 709-722. Wasko, M. M. & Faraj, S. 2005. Why should i share? Examining social capital and knowledge contribution in electronic networks of practice. MIS quarterly, 35-57. Xiang, Z. & Gretzel, U. 2010. Role of social media in online travel information search. Tourism Management, 31, 179-188. Yannopoulou, N., Moufahim, M. & Bian, X. 2013. User-generated brands and social media: Couchsurfing and airbnb. Contemporary Management Research, 9.