Sharing Internship Experience on the Internet: A Study of Tourism and Hotel Management College Students

• Akman, I., & Mishra, A. (2010). Gender, age and income differences in Internet usage among employees in organizations. Computers in Human Behavior, 26(3), 482–490.

  Article  Google Scholar 

• Alba, J., & Hutchinson, J. W. (1987). Dimensions of consumer expertise. Journal of Consumer Research, 13(4), 411–454.

  Article  Google Scholar 

• Alderfer, C. (1987). An intergroup perspective on group dynamics. In J. W. Lorsch (Ed.), Handbook of Organizational Behavior (pp. 190–222). Englewood Cliffs, NJ: Prentice-Hall.

  Google Scholar 

• Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14(3), 396–402.

  Article  Google Scholar 

• Assael, H. (2005). A demographic and psychographic profile of heavy Internet users and users by type of Internet usage. Journal of Advertising Research, 45(1), 93–123.

  Article  Google Scholar 

• Beggs, B., Ross, C. M., & Goodwin, B. (2008). A comparison of student and practitioner perspectives of the travel and tourism internship. Journal of Hospitality, Leisure, Sport and Tourism Education, 7(1), 31–39.

  Article  Google Scholar 

• Boer, H., & Westhoff, Y. (2006). The role of positive and negative signaling communication by strong and weak ties in the shaping of safe sex subjective norms of adolescents in South Africa. Communication Theory, 16(1), 75–90.

  Article  Google Scholar 

• Brown, J. J., & Reingen, P. H. (1987). Social ties and word-of-mouth referral behavior. Journal of Consumer Research, 14(3), 350–362.

  Article  Google Scholar 

• Byrnes, J. P., Miller, D. C., & Schafer, W. D. (1999). Gender differences in risk taking: A meta-analysis. Psychological Bulletin, 125(3), 367–383.

  Article  Google Scholar 

• Chu, S., & Kim, Y. (2011). Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising, 30(1), 47–75.

  Article  Google Scholar 

• Everhart, D. E., Shucard, J. L., Quatrin, T., & Shucard, D. W. (2001). Sex-related differences in event-related potentials, face recognition, and facial affect processing in prepubertal children. Neuropsychology, 15(3), 329–341.

  Article  Google Scholar 

• Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage Publications.

  Google Scholar 

• Fong, L. H. N., Lee, H. A., Leung, D., & Law, R. (2013). Between online and offline channels: Internship information search by tourism and hotel management college students. In L. Cantoni & Z. Xiang (Eds.), Information and communication technologies in tourism 2013 (pp. 519–529). New York, NY: Springer.

  Chapter  Google Scholar 

• Gemmill, E. L., & Peterson, M. (2006). Technology use among college students: Implications for student affairs professionals. NASPA Journal, 43(2), 280–300.

  Google Scholar 

• Golub, B., & Jackson, M. O. (2010). Naive learning in social networks and the wisdom of crowds. American Economic Journal: Microeconomics, 2(1), 112–149.

  Google Scholar 

• Granovetter, M. S. (1973). The strength of weak ties. American Journal of Sociology, 78(6), 1360–1380.

  Article  Google Scholar 

• Gruber, T. (2008). Collective knowledge systems: Where the social web meets the semantic web. Web Semantics: Science, Services and Agents on the World Wide Web, 6(1), 4–13.

  Article  Google Scholar 

• Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing, 18(1), 38–52.

  Article  Google Scholar 

• Ibarra, H. (1997). Paving an alternative route: Gender differences in managerial networks. Social Psychology Quarterly, 60(1), 91–102.

  Article  Google Scholar 

• Jackson, L. A., Ervin, K. S., Gardner, P. D., & Schmitt, N. (2001). Gender and the Internet: Women communicating and men searching. Sex Roles, 44(5), 363–379.

  Article  Google Scholar 

• Kandel, D. B. (1978). Homophily, selection, and socialization in adolescent friendships. American Journal of Sociology, 84(2), 427–436.

  Article  Google Scholar 

• Kim, B. G., Park, S. C., & Lee, K. J. (2007a). A structural equation modeling of the internet acceptance in Korea. Electronic Commerce Research and Applications, 6(4), 425–432.

  Article  Google Scholar 

• Kim, D. Y., Lehto, X. Y., & Morrison, A. M. (2007b). Gender differences in online travel information search: Implications for marketing communications on the Internet. Tourism Management, 28(2), 423–433.

  Article  Google Scholar 

• King, B., McKercher, B., & Waryszak, R. (2003). A comparative study of hospitality and tourism graduates in Australia and Hong Kong. International Journal of Tourism Research, 5(6), 409–420.

  Article  Google Scholar 

• Lai, G., & Wong, O. (2002). The tie effect on information dissemination: The spread of a commercial rumor in Hong Kong. Social Networks, 24(1), 49–75.

  Article  Google Scholar 

• Law, R., Qi, S., & Buhalis, D. (2010). Progress in tourism management: A review of website evaluation in tourism research. Tourism Management, 31(3), 297–313.

  Article  Google Scholar 

• Lee, H. A., Law, R., & Murphy, J. (2011). Helpful reviewers in TripAdvisor, an online travel community. Journal of Travel and Tourism Marketing, 28(7), 675–688.

  Article  Google Scholar 

• Lenroot, R. K., & Giedd, J. N. (2010). Sex differences in the adolescent brain. Brain and Cognition, 72(1), 46–55.

  Article  Google Scholar 

• Lin, N., Ensel, W. M., & Vaughn, J. C. (1981). Social resources and strength of ties: Structural factors in occupational status attainment. American Sociological Review, 46(4), 393–405.

  Article  Google Scholar 

• Lin, N., Woelfel, M. W., & Light, S. C. (1985). The buffering effect of social support subsequent to an important life event. Journal of Health and Social Behavior, 26(3), 247–263.

  Article  Google Scholar 

• Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008). Electronic word-of-mouth in hospitality and tourism management. Tourism Management, 29(3), 458–468.

  Article  Google Scholar 

• Mack, R. W., Blose, J. E., & Pan, B. (2008). Believe it or not: Credibility of blogs in tourism. Journal of Vacation Marketing, 14(2), 133–144.

  Article  Google Scholar 

• McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: Homophily in social networks. Annual Review of Sociology, 27(1), 415–444.

  Article  Google Scholar 

• Mertler, C. A., & Vannatta, R. A. (2010). Advanced and multivariate statistical methods (4th ed.). Glendale, CA: Pyrczak Publishing.

  Google Scholar 

• Miller, D. T. (1999). The norm of self-interest. American Psychologist, 54(12), 1053–1060.

  Article  Google Scholar 

• Montgomery, J. D. (1992). Job search and network composition: Implications of the strength-of-weak-ties hypothesis. American Sociological Review, 57(5), 586–596.

  Article  Google Scholar 

• Niemz, K., Griffiths, M., & Banyard, P. (2005). Prevalence of pathological Internet use among university students and correlations with self-esteem, the General Health Questionnaire (GHQ), and disinhibition. Cyberpsychology and Behavior, 8(6), 562–570.

  Article  Google Scholar 

• Ruef, M., Aldrich, H. E., & Carter, N. M. (2003). The structure of founding teams: Homophily, strong ties, and isolation among U.S. entrepreneurs. American Sociological Review, 68(2), 195–222.

  Article  Google Scholar 

• Sheldon, P. (2008). Student favourite: Facebook and motives for its use. Southwestern Mass Communication Journal, 23(2), 39–53.

  Google Scholar 

• Suarez, F. F. (2005). Network effects revisited: The role of strong ties in technology selection. The Academy of Management Journal, 48(4), 710–720.

  Article  Google Scholar 

• Sun, T., Youn, S., Wu, G., & Kuntaraporn, M. (2006). Online word-of-mouth (or mouse): An exploration of its antecedents and consequences. Journal of Computer-Mediated Communication, 11(4), 1104–1127.

  Article  Google Scholar 

• Teo, T. S. H., & Lim, V. K. G. (2000). Gender differences in internet usage and task preferences. Behaviour and Information Technology, 19(4), 283–295.

  Article  Google Scholar 

• Teo, T. S. H., Lim, V. K. G., & Lai, R. Y. C. (1999). Intrinsic and extrinsic motivation in Internet usage. Omega, 27(1), 25–37.

  Article  Google Scholar 

• Terry, D. J., Carey, C. J., & Callan, V. J. (2001). Employee adjustment to an organizational merger: An intergroup perspective. Personality and Social Psychology Bulletin, 27(3), 267–280.

  Article  Google Scholar 

• Thayer, S. E., & Sukanya, R. (2006). Online communication preferences across age, gender, and duration of internet use. Cyberpsychology and Behavior, 9(4), 432–440.

  Article  Google Scholar 

• Theodosiou, M., & Katsikea, E. (2012). Antecedents and performance of electronic business adoption in the hotel industry. European Journal of Marketing, 46(1), 258–283.

  Article  Google Scholar 

• Triandis, H. C., Bontempo, R., Villareal, M. J., Asai, M., & Lucca, N. (1988). Individualism and collectivism: Cross-cultural perspectives on self-ingroup relationships. Journal of Personality and Social Psychology, 54(2), 323–338.

  Article  Google Scholar 

• Tsai, M. J., & Tsai, C. C. (2010). Junior high school students’ Internet usage and self-efficacy: A re-examination of the gender gap. Computers and Education, 54(4), 1182–1192.

  Article  Google Scholar 

• Turner, J. C., Hogg, M. A., Oakes, P. J., Reicher, S. D., & Wetherell, M. S. (1987). Rediscovering the social group: A self-categorization theory. Cambridge, MA: Basil Blackwell.

  Google Scholar 

• Valkenburg, P. M., & Peter, J. (2007). Preadolescents’ and adolescents’ online communication and their closeness to friends. Developmental Psychology, 43(2), 267–277.

  Article  Google Scholar 

• Wang, S., & Noe, R. A. (2010). Knowledge sharing: A review and directions for future research. Human Resource Management Review, 20(2), 115–131.

  Article  Google Scholar 

• Wagner, J. A, I. I. I. (1995). Studies of individualism-collectivism: Effects on cooperation in groups. The Academy of Management Journal, 38(1), 152–172.

  Article  Google Scholar 

• Weenig, M. W., & Midden, C. J. (1991). Communication network influences on information diffusion and persuasion. Journal of Personality and Social Psychology, 61(5), 734–742.

  Article  Google Scholar 

• Yamagishi, T., & Mifune, N. (2008). Does shared group membership promote altruism? Fear, greed, and reputation. Rationality and Society, 20(1), 5–30.

  Article  Google Scholar 

Download references