1 |
Kim, D. P., Choi, J. Y., & Choi, S. Y.(2017). The Impacts of Personal Characteristics and Recognition of External Environments for the Prospective Smart Farm Agricultural Entrepreneurs on the Entrepreneurial Intention of Smart Farm Start-ups: Focused on Hoengseong-gun Province. Journal of Korean Regional Development, 26(3), 183-218.
|
2 |
Kim. G. H.(2018).A Study on Behavioral Intention and Use Behavior for the Mobile Payment Services. Doctoral dissertation, Hansung University.
|
3 |
Kim, J. S.(2016). A study on factors affecting the intention to accept blockchain technology. Doctoral dissertation, Soongsil University.
|
4 |
Kim, K. W.(2017). Factors Influencing the IoT Technology Acceptance and Policy Implication of SMEs. Legislation and Policy Studies, 9(3), 341-362.
|
5 |
Kim, S. H. & Kim, G. A.(2011). An empirical study on the factors affecting the adoption of mobile cloud and the moderating effect of mobile trust. The e-Business Studies, 12(1), 281-310.
DOI
|
6 |
Lee, E. C.(2019). A Study on the Factors Affecting the intention of a young agricultural pre-founder to start. Mater's thesis, Chung-Ang University.
|
7 |
Lee, J. K., & Seol, B. M.(2019). Intelligent smart farm a study on productivity: focused on tomato farm households. Asia-Pacific Journal of Business Venturing and Entrepreneurship, 14(3), 185-199.
DOI
|
8 |
Lee, T. Y.(2020). A study on the effect of acceptance factors of ICT convergence technology using UTAUT on smart farm startup intention. Doctoral dissertation, Hoseo University.
|
9 |
Song, B. C.(2018). A Study of User's Acceptance and Behavioral Intentions using the Medical Device Products based on the Unified Technology Theory of Acceptance. Doctoral dissertation, Pukyong National University.
|
10 |
Venkatesh, V., 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.
DOI
|
11 |
Yoon, B. S.(2004). Determinants of Entrepreneurial Intentions: Individual Characteristics and Environmental Factors. Korean Business Review, 17(2), 89-110.
|
12 |
Yoon, N. G., Lee, J. S., Park, G. S., & Lee, J. Y.(2017). Korea smart farm policy and technology development status. Rural Resources, 59(2), 19-27.
|
13 |
Han, D. K.(2015). A Study on the Factors Affecting Acceptance and Diffusion of Fintech. Doctoral dissertation, Yonsei University.
|
14 |
Ahn, M. H., & Heo, C. M.(2019). The Effect of Technical Characteristics of Smart Farm on Acceptance Intention by Mediating Effect of Effort Expectation. Journal of Digital Convergence, 17(6), 145-157.
DOI
|
15 |
Ahn, Y. J.(2017). A Study on the Acceptability of Sports Analysis System based on ICT technology: Application of Unified Theory of Acceptance and Use of Technology Model. Mater's thesis, Sungkyunkwan University.
|
16 |
Benlian, A. & Hess, T.(2011). Opportunities and risksof software-as-a-service: Findings from a survey of IT executives. Decision Support Systems, 52(1), 232-246.
DOI
|
17 |
Davis, F. D.(1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
DOI
|
18 |
Fishbein, M., & Ajzen, I.(1975). Belief, attitude, and behavior: An introduction to theory and research. Reading, Mass.: Addison Wessley
|
19 |
Kang, S. H.(2016). A Study on the User's Acceptance and Use of Easy Payment Service based on UTAUT: Focused on the Moderating Effect of Innovation Resistance. Doctoral dissertation, Pukyong National University.
|
20 |
Kim, D. H., Lee, J. H., & Park, Y. P.(2012). A study of factors affecting the adoption of cloud computing. Journal of Society for e-Business Studies, 17(1), 111-136.
DOI
|