References
- J. S. Kim, T. Y. Lee, T. G. Kim and H. W. Jung, “Studies on the development scheme and the current state of Korea game industry,” Journal of Digital Convergence, Vol. 13, No. 1, pp. 439-447, 2015.
- E. Von Hippel and G. Von Krogh, “Open source software and the private collective innovation model,” Organization Science, Vol. 14, No. 2, pp. 209-223, 2003. https://doi.org/10.1287/orsc.14.2.209.14992
- Y. S. Hau and Y. G. Kim, “Why would online gamers share their innovation-conductive knowledge in the online game user community? Integrating individual motivations and social capital perspectives,” Computer in Human Behavior, Vol. 27, No. 2, pp. 956-970, 2011. https://doi.org/10.1016/j.chb.2010.11.022
- H. Cho, “Study on effect of characteristics of financial professionals on knowledge sharing, job satisfaction, and firm innovation,” Journal of Digital Convergence, Vol. 11, No. 10, pp. 225-240, 2013. https://doi.org/10.14400/JDPM.2013.11.10.225
- D. S. Kwon and J. H. Kim, “An effects of self-determination theory on social presence in online community,” Journal of Digital Convergence, Vol. 9, No. 2, pp. 81-94, 2011.
- B. W. Yu and S. B. Park, “The effect of online game community efficiency on online game community commitment,” Korean Management Consulting Review, Vol. 9, No. 3, pp. 105-125, 2009.
- S. B. Park and N. H. Jung, “A factors affecting self presentation desire and participation intention in online game,” The E-Business Studies, Vol. 11, No. 5, pp. 291-308, 2010.
- J. H. Wi and I. S. Song, “An empirical study on community effect of MMORPG guild,” Journal of Korea Game Society, Vol. 10, No. 4, pp. 49-61, 2010.
- C. J. Yang, “Study on the juvenile culture of community within online game,” Korean Journal of Youth Studies, Vol. 13, No. 6, pp. 386-409, 2006.
- H. I. Kwon and Y. S. Choi, "A study on on-line game market segmentation classification and discrimination variable," Journal of the Korean Society for Computer Game, Vol. 14, pp. 53-61, 2008.
- Y. Han, S Shim, D., Kong, E. Hwang, S. Rim, “The impact of online game interactivity on user loyalty: Focused on the type of games,” Journal of Business Research, Vol. 28, No. 1, pp. 57-84, 2013.
- J. J. Jung, C. M. Chang and T. U. Kim, “An exploratory study for identifying key factors in online gamers development strategy utilizing Web community,” The KIPS transactions: PartD, Vol. 11D, No. 4, pp. 991-1002, 2004. https://doi.org/10.3745/KIPSTD.2004.11D.4.991
- G. P. Pisano and R. Verganti, “Which kind of collaboration is right for you?,” Harvard Business Review, Vol. 86, No. 12, pp. 78-86, 2008.
- E. H. Hwang, A Study on the Impact of Online Game Community Characteristics and Interactivity on User Satisfaction, Yeungnam University Master's Degree, 2009.
- M. Fishbein and I. Ajzen, Understanding Attitude and Predicting Social Behaviour, Prentice-Hall, Englewood Cliffs, NJ, 1980.
- I. Ajzen, “The theory of planned behavior,” Organizational Behavior and Human Decision Processes, Vol. 50, No. 2, pp. 179-211, 1991. https://doi.org/10.1016/0749-5978(91)90020-T
- M. S. Yeom, “Understanding of showrooming behavior based on the theory of reasoned action,” Journal of Channel and Retailing, Vol. 20, No. 4, pp. 79-103, 2015.
- S. Hong, B. Li and B. Kim, “Consumer purchase decision in a mobile shopping mall: An integrative view of trust and theory of planned behavior,” Information Systems Review, Vol. 18, No. 2, pp. 151-171, 2016.
- E. J. Yang, “Study on the behavioral intention of Chinese cosmetic surgery tourists applied to the extended theory of reasoned action,” The Journal of Tourism Studies, Vol. 26, No. 2, pp. 127-151, 2014.
- L. S. L. Chen, “The impact of perceived risk, intangibility and consumer characteristics on online game playing,” Computers in Human Behavior, Vol. 26, No. 6, pp. 1607-1613, 2010. https://doi.org/10.1016/j.chb.2010.06.008
- J. C. C. Lin and H. Lu, “Towards an understanding of the behaviour intention to use a web site,” International Journal of Information Management, Vol. 20, No. 3, pp. 197-208, 2000. https://doi.org/10.1016/S0268-4012(00)00005-0
- K. Y. Lee, “Operation strategy in online knowledge sharing community,” The Journal of Society for e-Business Studies, Vol. 14, No. 4, pp. 95-118, 2009.
- V. Venkatesh and F. D. Davis, “A theoretical extension of the technology acceptance model: four longitudinal field studies,” Management Science, Vol. 46, No. 2, pp. 186-204, 1997. https://doi.org/10.1287/mnsc.46.2.186.11926
- B. Kim and M. Kang, “Effect of MMS Addiction on user's health and academic performance in an era of convergence,” Journal of Digital Convergence, Vol. 14, No. 1, pp. 131-139, 2016. https://doi.org/10.14400/JDC.2016.14.1.131
- K. Yang, “Consumer technology traits in determining mobile shopping adoption: An application of the extended theory of planned behavior,” Journal of Retailing and Consumer Services, Vol. 19, No. 5, pp. 484-49, 2012. https://doi.org/10.1016/j.jretconser.2012.06.003
- W. S. Jung and S. J. Yoon, “Predicting purchase intent on social commerce: Use of TPB(Theory of Planned Behavior), and TRI(Technology Readiness),” Journal of the Korea Service Management Society, Vol. 14, No. 2, pp. 1-24, 2013.
- J. F. Hair, G. T. M. Hult, C. M. Ringle and M. Sarstedt, A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), Sage, Thousand Oaks, 2013.
- J. F. Hair, W. C. Black, B. J. Babin, and R. E. Anderson, Multivariate Data Analysis, 7th Edition. London: Prentice Hall, 2009.
- C. Fornell and D. F. Larcker, “Evaluating structural evaluation models with unobservable variables and measurement error,” Journal of Marketing Research, Vol. 18, No. 1, pp. 39-50, 1981. https://doi.org/10.2307/3151312