Contribution and consumption of content in enterprise social media

References

• Agarwal, R., & Prasad, J. (1997). The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies. Decision Sciences, 28(3), 557–582. doi:10.1111/deci.1997.28.issue-3
   Web of Science ®Google Scholar
• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. doi:10.1016/0749-5978(91)90020-T
   Web of Science ®Google Scholar
• Alfaro, I., Bhattacharyya, S., & Watson-Manheim, M. B. (2013). Organizational adoption of social media in the Usa: A mixed method approach. ECIS 2013 Proceedings, Utrecht, Netherlands.
   Google Scholar
• Alpar, P., & Blaschke, S. (2011). Analysis of social interactions in a social news application. MCIS 2011 Proceedings (p. paper 38), Limassol, Cyprus.
   Google Scholar
• Alpar, P., Engler, T. H., & Schulz, M. (2015). Influence of social software features on the reuse of business intelligence reports. Information Processing & Management, 51(3), 235–251. doi:10.1016/j.ipm.2015.01.004
   Web of Science ®Google Scholar
• Benbasat, I., & Barki, H. (2007). Quo vadis, TAM? Journal of the Association for Information Systems, 8(4), 212–218.
   Web of Science ®Google Scholar
• Bock, G.-W., Zmud, R. W., Kim, Y.-G., & Lee, J.-N. (2005). Behavioral intention formation in knowledge sharing: Examining the roles of extrensic motivators, social-psychological forces, and organizational climate. MIS Quarterly, 29(1), 87–111. doi:10.2307/25148669
   Web of Science ®Google Scholar
• Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13(1), 210–230. doi:10.1111/j.1083-6101.2007.00393.x
   Web of Science ®Google Scholar
• Brzozowski, M. J., Sandholm, T., & Hogg, T. (2009). Effects of feedback and peer pressure on contributions to enterprise social media. Proceedings of the ACM 2009 International Conference on Supporting Group Work, Sanibel Island, FL, USA, 61–70.
   Google Scholar
• Bughin, J., & Chui, M. (2010). The rise of the networked enterprise: Web 2.0 finds its payday. McKinsey Quarterly, 12, 1–9.
   Google Scholar
• Cenfetelli, R. T., & Bassellier, G. (2009). Interpretation of formative measurement in information systems research. MIS Quarterly, 33(4), 689–707. doi:10.2307/20650323
   Web of Science ®Google Scholar
• Chai, S., Das, S., & Rao, H. R. (2011). Factors affecting Bloggers’ knowledge sharing: An investigation across gender. Journal of Management Information Systems, 28(3), 309–342. doi:10.2753/MIS0742-1222280309
   Web of Science ®Google Scholar
• Chai, S., & Kim, M. (2010). What makes bloggers share knowledge? An investigation on the role of trust. International Journal of Information Management, 30(5), 408–415. doi:10.1016/j.ijinfomgt.2010.02.005
   Web of Science ®Google Scholar
• Cheung, C. M. K., Chiu, P.-Y., & Lee, M. K. O. (2011). Online social networks: Why do students use facebook? Computers in Human Behavior, 27(4), 1337–1343. doi:10.1016/j.chb.2010.07.028
   Web of Science ®Google Scholar
• Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (1st ed., pp. 295–358). Mahwah, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Chin, W. W., & Gopal, A. (1995). Adoption intention in GSS: Relative importance of beliefs. ACM SigMIS Database, 26(2–3), 42–64. doi:10.1145/217278
   Web of Science ®Google Scholar
• Chiu, C.-M., Hsu, M.-H., & Wang, E. T. G. (2006). Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories. Decision Support Systems, 42(3), 1872–1888. doi:10.1016/j.dss.2006.04.001
   Web of Science ®Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. doi:10.2307/249008
   Web of Science ®Google Scholar
• Ebner, M., Kickmeier-Rust, M., & Holzinger, A. (2008). Utilizing Wiki-Systems in higher education classes: A chance for universal access? Universal Access in the Information Society, 7(4), 199–207. doi:10.1007/s10209-008-0115-2
   Google Scholar
• Engler, T. H. (2014). Trusting review mechanisms in knowledge management systems: Antecedents, outcomes, and the role of perceived risk. ECIS 2014 Proceedings, Tel-Aviv.
   Google Scholar
• Engler, T. H., Alpar, P., & Fayzimurodova, U. (2015). Initial and continued knowledge contribution on enterprise social media platforms. ECIS 2015 Proceedings, Münster.
   Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. doi:10.2307/3151312
   Web of Science ®Google Scholar
• Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90. doi:10.2307/30036519
   Web of Science ®Google Scholar
• Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2013). A primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks, CA: SAGE Publications.
   Google Scholar
• He, W., & Wei, -K.-K. (2009). What drives continued knowledge sharing? An investigation of knowledge-contribution and -seeking beliefs. Decision Support Systems, 46(4), 826–838. doi:10.1016/j.dss.2008.11.007
   Web of Science ®Google Scholar
• Herzberg, F. (1987). One more time: How do you motivate employees? Harvard Business Review, 81(1), 109–120.
   Google Scholar
• Jarvis, C. B., Mackenzie, S. B., Podsakoff, P. M., Mick, D. G., & Bearden, W. O. (2003). A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30(2), 199–218. doi:10.1086/376806
   Web of Science ®Google Scholar
• Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59–68. doi:10.1016/j.bushor.2009.09.003
   Web of Science ®Google Scholar
• Kollock, P., & Smith, M. (1996). Managing the virtual commons: cooperation and conflict in computer communities. In S. C. Herring (Ed.), Computer-mediated communication: Linguistic, social, and cross-cultural perspectives (pp. 109–128). Amsterdam, Netherlands: John Benjamin.
   Google Scholar
• Kügler, M., Lübbert, C., & Smolnik, S. (2015). Organizational climate’s role in enterprise social software usage: An empirical assessment. Proceedings der 12. Internationalen Tagung Wirtschaftsinformatik Osnabrueck, Germany, (pp. 811–826).
   Google Scholar
• Leibhammer, J., & Weber, M. (2008). Enterprise 2.0 - Analyse zu Stand und Perspektiven in der deutschen Wirtschaft. Retrieved August 23 2016 from https://www.bitkom.org/files/documents/BITKOM-Studie_Enterprise_2Punkt0(1).pdf
   Google Scholar
• Leonardi, P. M., Huysman, M., & Steinfield, C. (2013). Enterprise social media: Definition, history, and prospects for the study of social technologies in organizations. Journal of Computer-Mediated Communication, 19(1), 1–19. doi:10.1111/jcc4.2013.19.issue-1
   Web of Science ®Google Scholar
• Leuf, B., & Cunningham, W. (2008). The wiki way: Quick collaboration on the web. Boston, MA, USA: Addison-Wesley.
   Google Scholar
• Markus, M. L. (1987). Toward a “Critical Mass” theory of interactive media: Universal access, interdependence and diffusion. Communication Research, 14(5), 491–511. doi:10.1177/009365087014005003
   Web of Science ®Google Scholar
• McAfee, A. P. (2006). Enterprise 2.0: The dawn of emergent collaboration. MIT Sloan Management Review, 47(3), 21–28.
   Web of Science ®Google Scholar
• Muller, M. J., Shami, N. S., Millen, D. R., & Feinberg, J. (2010). We Are All Lurkers: Consuming behaviors among authors and readers in an enterprise file-sharing service. Proceedings of the 16th ACM International Conference on Supporting Group Work, (pp. 201–210), New York, NY, USA: ACM.
   Google Scholar
• Nonnecke, B., & Preece, J. (2001). Why lurkers lurk. AMCIS 2001 Proceedings, 294, Boston, MA, USA.
   Google Scholar
• Nonnecke, B., & Preece, J. (2003). Silent participants: Getting to know lurkers better. In C. Lueg & D. Fisher (Eds.), From usenet to CoWebs SE - 6 (pp. 110–132). London, UK: Springer London.
   Google Scholar
• Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York, NY, USA: McGraw-Hill.
   Google Scholar
• OECD. (2007). Participative web and user-created content. Retrieved August 23 2016 from http://www.oecd.org/internet/interneteconomy/38393115.pdf
   Google Scholar
• 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(2), 640–654. doi:10.1016/j.chb.2010.05.022
   Web of Science ®Google Scholar
• Piolat, A., Olive, T., & Kellogg, R. T. (2005). Cognitive effort during note taking. Applied Cognitive Psychology, 19(3), 291–312. doi:10.1002/(ISSN)1099-0720
   Web of Science ®Google Scholar
• Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. doi:10.1037/0021-9010.88.5.879
   PubMed Web of Science ®Google Scholar
• Preece, J., Nonnecke, B., & Andrews, D. (2004). The top five reasons for lurking: Improving community experiences for everyone. Computers in Human Behavior, 20(2), 201–223. doi:10.1016/j.chb.2003.10.015
   Web of Science ®Google Scholar
• Raeth, P., & Smolnik, S. (2010). Antecedents and consequences of corporate weblog usage in the intranet: A process perspective. System Sciences (HICSS), 2010 43rd Hawaii International Conference on (pp. 1–10), IEEE, Honolulu, HI, USA.
   Google Scholar
• Reinartz, W., Haenlein, M., & Henseler, J. (2009). An empirical comparison of the efficacy of covariance-based and variance-based SEM. International Journal of Research in Marketing, 26(4), 332–344. doi:10.1016/j.ijresmar.2009.08.001
   Web of Science ®Google Scholar
• Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3.2. Boenningstedt, Germany: SmartPLS.
   Google Scholar
• Saldanha, T. J. V., & Krishnan, M. S. (2012). Organizational adoption of web 2.0 technologies: An empirical analysis. Journal of Organizational Computing and Electronic Commerce, 22(4), 301–333. doi:10.1080/10919392.2012.723585
   Web of Science ®Google Scholar
• Schöndienst, V., Krasnova, H., Günther, O., & Riehle, D. (2011). Micro-Blogging adoption in the enterprise: An empirical analysis. International Conference on Wirtschaftsinformatik, Goettingen, Germany.
   Google Scholar
• Skeels, M. M., & Grudin, J. (2009). When social networks cross boundaries: A case study of workplace use of Facebook and Linkedin. Proceedings of the ACM 2009 International Conference on Supporting Group Work (pp. 95–104). New York, NY, USA: ACM.
   Google Scholar
• Stanton, J. M. (1998). An empirical assessment of data collection using the internet. Personnel Psychology, 51(3), 709–725. doi:10.1111/peps.1998.51.issue-3
   Web of Science ®Google Scholar
• Streukens, S., Wetzels, M., Daryanto, A., & De Ruyter, K. (2010). Analyzing factorial data using PLS. In V. E. Vinzi, W. W. Chin, J. Henseler, & H. Wang (Eds.), Handbook of partial least squares: Concepts, methods and applications (1st ed., pp. 567–587). Berlin, Germany: Springer.
   Google Scholar
• Takahashi, M., Fujimoto, M., & Yamasaki, N. (2003). The active lurker: Influence of an in-house online community on its outside environment. Proceedings of the 2003 International ACM SIGGROUP Conference on Supporting Group Work (pp. 1–10). New York, NY, USA: ACM.
   Google Scholar
• Toffler, A. (1980). The third wave: The classic study of tomorrow. New York, NY, USA: Bantam Books.
   Google Scholar
• Turban, E., Bolloju, N., & Liang, T.-P. (2011). Enterprise social networking: Opportunities, adoption, and risk mitigation. Journal of Organizational Computing and Electronic Commerce, 21(3), 202–220. doi:10.1080/10919392.2011.590109
   Web of Science ®Google Scholar
• Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. doi:10.1287/mnsc.46.2.186.11926
   Web of Science ®Google Scholar
• Venkatesh, V., Davis, F. D., & Morris, M. G. (2007). Dead or alive? The development, trajectory and future of technology adoption research. Journal of the Association for Information Systems, 8(4), 268–286.
   Web of Science ®Google Scholar
• Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. doi:10.2307/30036540
   Web of Science ®Google Scholar
• von Krogh, G. (2012). How does social software change knowledge management? Toward a strategic research Agenda. The Journal of Strategic Information Systems, 21(2), 154–164. doi:10.1016/j.jsis.2012.04.003
   Web of Science ®Google Scholar
• Wagner, C. (2004). Wiki: A technology for conversational knowledge management and group collaboration. Communications of the Association for Information Systems, 13, 265–289.
   Google Scholar
• Wang, J., Gwebu, K., Shanker, M., & Troutt, M. D. (2009). An application of agent-based simulation to knowledge sharing. Decision Support Systems, 46(2), 532–541. doi:10.1016/j.dss.2008.09.006
   Web of Science ®Google Scholar
• Ward, T. (2014). Social intranet communications. Retrieved August 23 2016 from http://www.intranetblog.com/social-intranet-communications/
   Google Scholar
• Wasko, M. M., & Faraj, S. (2005). Why should i share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly, 29(1), 35–57. doi:10.2307/25148667
   Web of Science ®Google Scholar
• Wu, J., & Du, H. (2012). Toward a better understanding of behavioral intention and system usage constructs. European Journal of Information Systems, 21(6), 680–698. doi:10.1057/ejis.2012.15
   Web of Science ®Google Scholar