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Active Contributors in Online Social Networks – An Empirical Study on German Gen Y’s Facebook Usage

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Book cover Economics of Grids, Clouds, Systems, and Services (GECON 2017)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 10537))

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Abstract

Every day, millions of users especially from the generation Y visit Facebook. They do not only read the contributions and shared data of friends and other community members in a passive way but many of them generate own content in an active way. Active users upload private photos and reports as well as they post status updates and create comments to other contributions. Although Facebook’s handling of private data has often been criticised, the intensity of user generated content seems to be uninfluenced. Therefore the question arises what are the determining factors of active use in Online Social Networks and how important is the influence of trust and risks in social network providers. Do own negative experiences influence the kind of usage of OSN? To answer these questions we conducted an empirical study on Generation Y’s use of Facebook in Germany and analysed the impact of motivation, trust, risks and negative consequences on the usage behaviour. Results show that Generation Y largely mistrusts Facebook and its security functions. Therefore, the active use is low in comparison to the passive use. But, as we could show that passive use is a strong driver of active use, the improvement of passive usage leads to active usage over time and explains Facebook’s success.

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References

  1. Amichai-Hamburger, Y., Vinitzky, G.: Social networks use and personality. Comput. Hum. Behav. 26, 1289–1295 (2010). doi:10.1016/j.chb.2010.03.018

    Article  Google Scholar 

  2. Cheung, C., Chiu, P.Y., Lee, M.K.O.: Online social networks: Why do students use facebook? Comput. Hum. Behav. 27, 1337–1343 (2011). doi:10.1016/j.chb.2010.07.028

    Article  Google Scholar 

  3. Chin, W.W.: Issues and opinion on structural equation modelling. Manag. Inform. Syst. Quart. 22, 7–16 (1998)

    Google Scholar 

  4. Chin, W.W.: The partial least squares approach for structural equation modelling. In: Marcoulides, G.A. (ed.) Modern methods for business research, pp. 295–336. Lawrence Erlbaum Associates, Mahwah (1998)

    Google Scholar 

  5. Correa, T., Hinsley, A.W., de Zuniga, H.G.: Who interacts on the Web? The intersection of users’ personality and social media use. Comput. Hum. Behav. 26, 247–253 (2010). doi:10.1016/j.chb.2009.09.003

    Article  Google Scholar 

  6. Culnan, M.J., Armstrong, P.K.: Information privacy concerns, procedural fairness, and impersonal trust: an empirical investigation. Organ. Sci. 10, 104–115 (1999). doi:10.1287/orsc.10.1.104

    Article  Google Scholar 

  7. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. Manag. Inform. Syst. Quart. 13, 319–340 (1989). doi:10.2307/249008

    Article  Google Scholar 

  8. Dinev, T., Hart, P.: Privacy concerns and internet use – a model of trade-off factors. In: Academy of Management Proceedings 2003, pp. D1–D6 (2003). doi:10.5465/AMBPP.2003.13792464

  9. Dunne, A., Lawlor, M.A., Rowley, J.: Young people’s use of online social networking sites: a uses and gratifications perspective. J. Interact. Mark 4, 46–58 (2010). doi:10.1108/17505931011033551

    Google Scholar 

  10. Ellison, N.B., Steinfield, C., Lampe, C.: The benefits of Facebook ‘friends’: social capital and college students use of online social network sites. J. Comput. Mediat. Commun. 12, 1143–1168 (2007). doi:10.1111/j.1083-6101.2007.00367.x

    Article  Google Scholar 

  11. Facebook: Annual Report 2014 (2015). http://investor.fb.com/common/download/download.cfm?companyid=AMDA-NJ5DZ&fileid=852173&filekey=F61276C5-0AE9-49DE-BFD9-087398F85EC8&filename=FB2014AR.pdf

  12. Fornell, C., Larcker, D.F.: Evaluating structural equation models with unobservable variables and measurement error. J. Market. Res. 18, 39–50 (1981)

    Article  Google Scholar 

  13. Fung, R.K.K., Lee, M.K.O.: EC-trust (trust in electronic commerce): exploring the antecedent factors. In: Proceedings of 5th Americas Conference on Information Systems, pp. 517–519 (1999)

    Google Scholar 

  14. Hair, J.F., Ringle, C.M., Sarstedt, M.: PLS-SEM: indeed a silver bullet. J. Mark Theor. Pract. 19, 139–151 (2011). doi:10.2753/MTP1069-6679190202

    Article  Google Scholar 

  15. Hair Jr., J.F., Hult, G.T.M., Ringle, S.M.: A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage Publications, Los Angeles (2014)

    MATH  Google Scholar 

  16. Kim, D.J., Ferrin, D.L., Rao, H.R.: A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decis. Support Syst. 44, 544–564 (2008). doi:10.1016/j.dss.2007.07.001

    Article  Google Scholar 

  17. Krasnova, H., Spiekermann, S., Koroleva, K., Hildebrand, T.: Online social networks: why we disclose. J. Inf. Technol. 25, 109–125 (2010). doi:10.1057/jit.2010.6

    Article  Google Scholar 

  18. Kwon, O., Wen, Y.: An empirical study of the factors affecting social network service use. Comput. Hum. Behav. 26, 254–263 (2010)

    Article  Google Scholar 

  19. Lin, H.F., Lee, G.G.: Determinants of success for online communities: an empirical study. Behav. Inform. Technol. 25, 479–488 (2006). doi:10.1080/01449290500330422

    Article  Google Scholar 

  20. Lin, K.Y., Lu, H.P.: Why people use social network sites: an empirical study integrating network externalities and motivation theory. Comput. Hum. Behav. 27, 1152–1161 (2011). doi:10.1016/j.chb.2010.12.009

    Article  Google Scholar 

  21. Lohmöller, J.B.: Latent variable path modelling with partial least squares. Physica (1989). doi:10.1007/978-3-642-52512-4. Heidelberg

    MATH  Google Scholar 

  22. Madden, M.: Privacy management on social media sites (2012). http://pewintternet.org/Reports/2012/Privacy-management-on-social-media.asp

  23. Mayer, R.C., Davis, J.H., Schoorman, F.D.: An integrative model of organizational trust. Acad. Manag. Rev. 20, 709–734 (1995). doi:10.5465/AMR.1995.9508080335

    Google Scholar 

  24. McCrae, R.R.: The five factor model: issues and applications. J. Pers. 60, 175–215 (1992). doi:10.1111/j.1467-6494.1992.tb00970.x

    Article  Google Scholar 

  25. McKnight, D.H., Choudhury, V., Kacmar, C.: The impact of initial consumer trust on intentions to transact with a web site: a trust building model. J. Strateg. Inf. Syst. 11, 297–323 (2002). doi:10.1016/S0963-8687(02)00020-3

    Article  Google Scholar 

  26. Menon, N.M., Konana, P., Browne, G.J., Balasubramanian, S.: Understanding trustworthiness beliefs in electronic brokerage usage. In: Proceedings of the 20th International Conference on Information Systems, pp. 552–555 (1999)

    Google Scholar 

  27. Moore, K., Mc Elroy, J.C.: The influence of personality on Facebook usage, wall postings, and regret. Comput. Hum. Behav. 28, 267–274 (2012). doi:10.1016/j.chb.2011.09.009

    Article  Google Scholar 

  28. Nonnecke, B., Preece, J., Andrews, D., Voutour, R.: Online lurkers tell why. In: Proceedings of the 10th Americas Conference on Information Systems, New York, pp. 1–7 (2004)

    Google Scholar 

  29. Preece, J., Nonnecke, B., Andrews, D.: The top five reasons for lurking: improving community experiences for everyone. Comput. Hum. Behav. 20, 201–223 (2004). doi:10.1016/j.chb.2003.10.015

    Article  Google Scholar 

  30. Quan-Haase, A., Young, A.L.: Uses and gratifications of social media: a comparison of Facebook and instant messaging. Bull. Sci. Technol. Soc. 30, 350–361 (2010). doi:10.1177/0270467610380009

    Article  Google Scholar 

  31. Rau, P.L.P., Gao, Q., Ding, Y.: Relationship between the level of intimacy and lurking in online social network services. Comput. Hum. Behav. 24, 2757–2770 (2008). doi:10.1016/j.chb.2008.04.001

    Article  Google Scholar 

  32. Rauniar, R., Rawski, G., Yang, J., Johnson, B.: Technology acceptance model (TAM) and social media usage: an empirical study on Facebook. J. Enterp. Inf. Manage. 27, 6–30 (2014). doi:10.1108/JEIM-04-2012-0011

    Article  Google Scholar 

  33. Ringle, C.M., Wende, S., Will. A.: SmartPLS 2.0.M3 (2005). http://www.smartpls.de

  34. Ross, C., Orr, E.S., Sisic, M., Arseneault, J.M., Simmering, M.G., Orr, R.R.: Personality and motivations associated with Facebook use. Comput. Hum. Behav. 25, 578–586 (2009). doi:10.1016/j.chb.2008.12.024

    Article  Google Scholar 

  35. Sarstedt, M., Ringle, C.M., Smith, D., Reams, R., Hair Jr., J.F.: Partial least squares structural equation modeling (PLS-SEM): a useful tool for family business researchers. J. Fam. Bus. Strateg. 5, 105–115 (2014)

    Article  Google Scholar 

  36. Seidman, G.: Self-presentation and belonging on Facebook: how personality influences social media use and motivations. Pers. Individ. Differ. 54, 402–407 (2013). doi:10.1016/j.paid.2012.10.009

    Article  Google Scholar 

  37. Tan, Y.H., Thoen, W.: Toward a generic model of trust for electronic commerce. Int. J. Electron. Commun. 5, 61–74 (2000)

    Article  Google Scholar 

  38. Vodanovich, S., Sundaram, D., Myers, M.: Research commentary: digital natives and ubiquitous information systems. Inform. Syst. Res. 21, 711–723 (2010). doi:10.1287/isre.1100.0324

    Article  Google Scholar 

  39. Wang, Z., Tchernev, J.M., Solloway, T.: A dynamic longitudinal examination of social media use, needs, and gratifications among college students. Comput. Hum. Behav. 28, 1829–1839 (2012). doi:10.1016/j.chb.2012.05.001

    Article  Google Scholar 

  40. Weiber, R., Mühlhaus, D.: Strukturgleichungsmodellierung. Eine anwendungsorientierte Einführung in die Kausalanalyse mit Hilfe von AMOS, SmartPLS und SPSS. Springer-Lehrbuch. Springer, Heidelberg (2014). doi:10.1007/978-3-642-35012-2

    Google Scholar 

  41. Zhao, S., Grasmuck, S., Martin, J.: Identity construction on Facebook: Digital empowerment in anchored relationships. Comput. Hum. Behav. 24, 1816–1836 (2008). doi:10.1016/j.chb.2008.02.012

    Article  Google Scholar 

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Authors and Affiliations

  1. Technische Universität Dortmund, 44221, Dortmund, Germany

    Richard Lackes, Markus Siepermann & Arbnesh Stadelhoff

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  1. Richard Lackes
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  2. Markus Siepermann
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  3. Arbnesh Stadelhoff
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Correspondence to Markus Siepermann .

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Editors and Affiliations

  1. UPPA, LIUPPA laboratory, UFR Sciences et Techniques, Pau, France

    Congduc Pham

  2. Seoul National University, Seoul, Korea (Republic of)

    Jörn Altmann

  3. Department of Computer Science, Universidad de Zaragoza, Zaragoza, Spain

    José Ángel Bañares

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Lackes, R., Siepermann, M., Stadelhoff, A. (2017). Active Contributors in Online Social Networks – An Empirical Study on German Gen Y’s Facebook Usage. In: Pham, C., Altmann, J., Bañares, J. (eds) Economics of Grids, Clouds, Systems, and Services. GECON 2017. Lecture Notes in Computer Science(), vol 10537. Springer, Cham. https://doi.org/10.1007/978-3-319-68066-8_8

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  • DOI: https://doi.org/10.1007/978-3-319-68066-8_8

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  • Online ISBN: 978-3-319-68066-8

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