References
- W. Y. Park & S. Y. T. Lee. (2016). An Exploratory Study on the Factors Affecting Crowdfunding: An Analysis on Online Donation. The e-Business Studies, 17(4), 55-69. https://doi.org/10.20462/TeBS.2016.08.17.4.55
- C. R. Lee, J. H. Lee & D. Y. Shin. (2015). Factor Analysis of the Motivation on Crowdfunding Participants: An Empirical Study of Funder Centered Reward-type Platform. The Journal of Society for e-Business Studies, 20(1), 137-151. https://doi.org/10.7838/jsebs.2015.20.1.137
- F. D. Davis. (1989). Perceived Usefulness, Perceived Ease of User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
- V. Venkatesh & F. D. Davis. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
- V. Venkatesh, M. G. Morris, G. B. Davis & F. D. Davis. (2003). User Acceptance of Information Technology: Toward a Unified View, MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
- Chen Lu & D. M. Lee. (2017). An Empirical Study on the Factors Influencing the Acceptance of Mobile Easy Payment Service - A Case of Chinese User. Journal of the Korean Contents Association, 17(8), 1-13. https://doi.org/10.5392/JKCA.2017.17.01.001
- K. K. Kim, S. Y. Ryoo, M. O. Kim & H. J. Kim. (2009). Determinants of User Intentions to Use Mobile Web Browsing Service: Efficacy and Social Influences. Journal of Information Technology Applications and Management, 16(1), 149-168.
- C. F. Xu & K. Q. Chen. (2015). Research on Influencing Factors of User Participation in Crowdfunding Websites: Take zhongchou.cn for Example. Journal of Intelligence, 34(11), 175-186.
- H. L. Dong & K. Baek. (2016). Equity Financing for Entrepreneurial Ventures through Crowdfunding Platforms. Asia Pacific Journal of Small Business, 38(2), 67-85.
- Delone. W. H. & McLean. E. R.(1992). Information systems success: The Quest for the Dependent Variable. Information Systems Research, 3(1), 60-95 https://doi.org/10.1287/isre.3.1.60
- D. Chen, F. Lai & Z. Lin. (2014). A Trust Model for Online peer-to-peer lending: A Lender's Perspective. Information Technology and Management, 15(4), 239-254. https://doi.org/10.1007/s10799-014-0187-z
- I. J. Park. (2013). Potential of Crowdfunding in Arts & Cultural sector: A case of Arts council Korea and Tumblebug. Journal of Arts and Cultural Management, 6(1), 131-156.
- G. Borello, V. De Crescenzo & F. Pichler. (2015). The Funding Gap and the Role of Financial Return Crowdfunding: Some Evidence from European Platforms. Journal of Internet Banking and Commerce, 20(1), 1-20.
- A. R. Lee, S. J. Lee, K. K. Kim & H. J. Kwon. (2016). Promoting the Masses' Investment through Crowdfunding Platform: Focusing on Lending based Crowdfunding Platform. The Journal of Society for e-Business Studies, 16(11), 644-660.
- N. Kaufmann, T. Schulze, & D. Viet. (2011). More than fun and money. Worker Motivation in Crowdsourcing-A Study on Mechanical Turk. AMCIS, 11(11), 1-11.
- S. H. Sohn, Y. J. Choi & H. S. Hwang. (2011). Understanding Acceptance of Smartphone among Early Adopters Using Extended Technology Acceptance Model. Korean Journal of Journalism & Communication Studies, 55(2), 227-251.
- S. S. Suh. (2011). Exploration of Digital Textbook Adoption and Implementation Based on extended Technology Acceptance Model. Journal of the Korean Association information Education, 15(2), 265-275.
- V. Venkatesh & S. A. Browon. (2001). A Longitudinal Investigation of Personal Computers in Homes: Adoption Determinants and Emerging Challenges. MIS Quarterly, 25(1), 71-102. https://doi.org/10.2307/3250959
- S. D. Kim & I. O. Jeon. (2017). Influencing Factors on the Acceptance for Crowd Funding - Focusing on Unified Theory of Acceptance and Use of Technology. Journal of Korean Institute of Intelligent Systems, 27(2), 150-156. https://doi.org/10.5391/JKIIS.2017.27.2.150
- B. Z. Qiu. (2016). Analysis and construction of investor acceptance model of P2P lending platform based on the integration of TAM and TTF. Journal of Fujian University of Technology, 16(3), 51-60.
- M. J. Noh. (2011). An Effects of Perceived Risk and Value on the trust and Use Intention of Smart Phone Banking: Mediating Effect of the Trust. Korean Journal of Business Administration, 24(5), 2599-2615.
- J. S. Bae, D. Y. Won & K. M. Cho. (2015). Factors Influencing Professional Baseball Fans' Acceptance of the Social Networking Service (SNS) provided by the Korean Professional Baseball Teams: From the Expanded Technology Acceptance Model Perspective. The Korean Journal of Physical Education, 54(2), 237-251.
- T. Ahn, S. W. Ryu & I. G. Han. (2004). The Impact of The Online and Offline Features on the User Acceptance of Internet shopping malls. Electronic Commerce Research and Applications, 3(4), 405-420. https://doi.org/10.1016/j.elerap.2004.05.001
- Y. N. Choi, K. H. Kim & S. R. Oh. (2015). Structural Model for Users"s Accepting Smart Health Care Services by Moderating the User Types. Journal of the Korea Contents Association, 15(9), 541-554. https://doi.org/10.5392/JKCA.2015.15.09.541
- M. J. Kim. (2013). S. Y. Shin, Effects of perceived interactivity on purchase intention of mobile fashion shopping malls. The Research Journal of the Costume Culture, 21(6), 891-906. https://doi.org/10.29049/rjcc.2013.21.6.891
- S. J. Yoo & Y. J. Lee. (2015). A study on the Impact of user's Characteristics and Perceived Awareness on the Satisfaction to Using Personalization App: Focus on Android Launcher App. Korea Design Forum, 8(0), 93-104.
- H. D. Yang & Y. J. Moon. (2005). The differences of Social Influence on Information Technology Adoption by Knowledge Work and IT Maturity. Asia Pacific Journal of Information Systems, 15(2), 97-120.
- Y. R. Eun & Y. J. Yoo. (2016). The Effects of Foodservice Consumer's Consumption Value and Subjective Norm of Social Commerce Usage Intention. Journal of The Korea Contents Association. 16(10), 130-139. https://doi.org/10.5392/JKCA.2016.16.10.130
- J. K. Bae. (2014). An Empirical Study on the Effect of Perceived Privacy, Perceived Security, Perceived Enjoyment on Continuance Usage Intention in Mobile Cloud Computing. Global E-Business Association, 15(3), 3-27.
- M. H. Kim & S. W. Shim. (2014). The Study on Mobile Advertising acceptance intention through Digital Signage's NFC: Focusing on the Interactivity. Advertising value, Innovativeness. The Korean Journal of Advertising, 25(7), 111-137. https://doi.org/10.14377/KJA.2014.10.15.111
- G. J. Kim. (2009). A Study on Acceptance Factor of Digital Multimedia Broadcasting. Korean Journal of Journalism & Communication Studies, 53(3), 296-323.
- K. K. Kim, S. Y. Ryoo, M. O. Kim & H. J. Kim. (2009). Determinants of Intentions to Use Mobile Web Browsing Service: Self-Efficacy and Social Influences. Journal of Information Technology Applications and Management, 16(1), 149-168.
- H. J. Kim & C. H. Jung. (2008). The Impact of Commodity and User Characteristics on Customers' intention. The Journal of Business Education, 21, 215-246.
- Y. H. Hyun & Y. A. Park. (2013). A Verification of the Structural Relationships between Consumer Review Characteristics and Acceptance Intention to Smartphone Application by Applying Extended TAM Model: A Focus on the Mediating role of Information Quality. Korean Journal of Business Administration, 26(11), 2851-2871.
- S. Y. Rhyu & K. J. Cheong. (2014). A Study on the Organization Support Affecting the Intention of Continuously Using the KMS in Customer Centers. Korean Journal of Business Administration, 27(7), 1031-1050.
- 360 security center. (2017). The mobile security risk report.