1 |
Fosso, W. S., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D.(2015). How Big Data can make impact: findings from a systematic review and a longitudinal case study. International Journal of Production Economics. 165(3), 234-246.
DOI
|
2 |
Goldsmith, R. E., & Hofacker, C. F.(1991). Measuring consumer innovationess. Journal of the Academy of Marketing Science, 19(3), 209-221.
DOI
|
3 |
Haley, R. I.(1968). Benefit segmentation, A decision-oriented research tool. Journal of Marketing, 32(3), 30-35.
DOI
|
4 |
Hayes, A. F.(2018). Introduction to Mediation, Moderation and Conditional Process Analysis(2nd ed.). NY: Guilford.
|
5 |
Heo, C. M., & Ahn, M. H.(2021). Smart Farm Management Strategy. Seoul: Cheongram.
|
6 |
Hirschman, E. C.(1980). Innovativeness, Novelty Seeking and Consumer Creativity, Journal of Consumer Research, 7(3), 1980.
|
7 |
GIIN(2020). Understanding Impact Performance: Agriculture Investments. Retrieved(2020.10.22.) from https://thegiin.org/research/publication/understanding-impact-performance.
|
8 |
Lee, H. G., & Han, M. S.(2019). An Empirical Study on the Consumer Acceptance of Internet Primary Bank: The Application of UTAUT Model. The Korean Research Association for the Business Education, 33(1), 59-87.
|
9 |
Jeong, D. J., Moon, S. M., & Choi, S. M.(2020). A Study on the Effect of Perception on Technology Acceptance Attitudes: Focusing on the Moderating Effect of Government Capacity. GRI, 22(2), 225-251.
|
10 |
Lee, T. Y., & Heo, C. M.(2019). A Study on the Influence of Acceptance Factors of ICT Convergence Technology on the Intention of Acceptance in Agriculture: Focusing on the Moderating Effect of Innovation Resistance. Journal of Digital Convergence, 17(9), 115-126.
DOI
|
11 |
Nho, K. S.(2019). The proper methods of statistical analysis for dissertation. Seoul: Hanbit Academy, Inc.
|
12 |
Lee, W. S., Son, K. J., Jun, D., & Shin, Y.(2020). Big Data Activation Plan for Digital Transformation of Agriculture and Rural. Korea Information Processing Society, 9(8), 235-242.
|
13 |
Lee, Y. R.(2017). A Study on O2O Platform Factor and Intention of Use: Focusing on Mediating Effect of Preference and Moderating Effect of Innovation Propensity. Doctoral dissertation, Hoseo University.
|
14 |
Min, S. J., Kim, H. J., & Song, G. H.(2017). An exploratory study on the determinants of chatbot acceptance using the UTAUT. Korea Technology Innovation Society, 2017.5, 623-643.
|
15 |
Chandon, P., Wansink, B., & Laurent, G.(2000). A Benefit Congruency Framework of Sales Promotion Effectiveness. Journal of Marketing, 64(4), 65-81.
DOI
|
16 |
Agarwal, R., & Prasad, J.(1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information System Research, 9(2), 204-215.
DOI
|
17 |
Ahn, M. H.(2021). A study on the key factors affecting Big Data Use Intention of Agriculture Ventures in Terms of Technology, Organization and Environment: Focusing on Moderating Effect of Technical Field. Asia-Pacific Journal of Business Venturing and Enterpreneurship, 16(6), 249-267.
|
18 |
Alawan, A., Dwivedi, Y. K., Rana, N. P., & Algharabat, R.(2018). Examing factors influencing Jordanian customers' intensions and adoption of internet banking: Extending UTAUT2 with risk. Journal of Retailing and Customer Services. 40, 125-138.
DOI
|
19 |
Kim, K. B.(2018). (A) Study on Factors Affecting Intention to Use Drone Technology Applying Extended Integrated Technology(UTAUT2). Doctoral dissertation, Hoseo University.
|
20 |
Fishbein, M., & Ajzen, I.(1975). Belief, Attitude, Intension and Behavior: An Introduction to Theory and Research. MA: Addison-Wesley, Reading.
|
21 |
Cho, S. I.(2018). A Study on Factors Affecting the Intention to Use of New Access Media in e-Financial Transactions. Doctoral dissertation, Soongsil University.
|
22 |
Hirschman, E. C., & Holbrook, M. B.(1982). Hedonic consumption: emerging concepts, methods and propositions. Journal of Marketing, 46(3), 92-101.
DOI
|
23 |
AgFunder(2021). 2021 AgriFoodTech Investment Report. San Francisco: AgFunder.
|
24 |
Choi, E. K.(2019). Effects of Perceived Benefit, Risk, Value, Attitude and Usage Attitude on Continuous Usage Intention toward Mobile Coupon. The Journal of Internet Electronic Commerce Research, 19(3), 173-199.
DOI
|
25 |
Escobar-Rodriguez, T., & Carvajal-Trujillo, E.(2013). Perceived usefulness easy of use, and the user acceptance of information technology. Journal of Air Transport Management, 32, 58-64.
DOI
|
26 |
Gupta, S.(1988). Impact of Sales Promotion on When, What, and How much to Buy. Journal of Marketing Research, 25(11), 342-355.
DOI
|
27 |
Ham, S. Y.(2017). A Study on Factors Affecting to the Acceptance Intention of Fintech Service. Doctoral dissertation, Soongsil University.
|
28 |
Hyun, H. W., Park, J. K., & Kim, D. Y.(2019). The Effect of Extended Brand Equity on Willingness to Pay Premium Price. Journal of channel and retailing, 24(4), 131-151.
DOI
|
29 |
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, Pukung University.
|
30 |
Kim, H. Y., & Kim, T. S.(2016). Why Do You Use A Podcast Service?: A UTAUT Model, Journal of Information Technology Applications & Management. 23(2), 153-176.
DOI
|
31 |
Park, J. Y., Seo, D. S., & Lee, J. M.(2021). Chapter 6. The future of Agriculture. Digital Agriculture(Agricultural Outlook 2021). Najoo: KREI.
|
32 |
Kim, J. R., & Lee, S. J.(2020). Factors Affecting Technology Acceptance of Smart Factory. Journal of Information Technology Applications & Management, 27(1), 75-95.
DOI
|
33 |
Fu, Li., & Choi, K. H.(2021). An Effect of Mobile Travel Application Characteristics on Experience Value, Perceived Value, and Continuous Usage Intention: A Moderating Effect of Relational Benefits. The Korea Academic Society of Tourism and Leisure, 33(3), 179-199.
|
34 |
Moran, M., Hawkes, M., & Gayer, O.(2010). Tablet personal computer integration in higher education:Applying the unified theory of acceptance and use technology model to understand and supporting factors. Journal of Educational and Computing Research, 42(1), 79-101.
DOI
|
35 |
Lee, H. J.(2016). A Study of Continuance Use for Hotel Booking Mobile App : Assessing the Moderating Role of Online Review Credibility and Membership Benefit. International Journal of Tourism Management and Sciences, 31(3), 135-155.
|
36 |
Lee, J. R.(2017). The Fourth Industrial Revolution and Agriculture(Global Agriculture 200th). Sejong: Office for Government Policy Coordination.
|
37 |
Min, S. R.(2021). The effect of individual innovation tendency on omni-channel continuous use intention. Academic Society of Global Business Administration, 18(3), 35-54.
DOI
|
38 |
Raman, A., & Don, Y.(2013). Preservice teachers' acceptance of learning management software: An application of the UTAUT2 model. International Education Studies, 6(7), 157-164.
|
39 |
Shim, Y. J.(2018). A Study on Factors Affecting to FinTech Service Adoption Using the UTAUT Model. Doctoral dissertation, Konkuk University.
|
40 |
Kim, J. S., & Gim. G. Y.(2017). A Study on Factors Affecting the Intention to Accept Blockchain Technology. Korea Society of IT Serviecs, 16(2), 1-20.
|
41 |
Roger, E. M.(2003). Diffusion of Innovation, 5th Edition. NY: Free Press.
|
42 |
Choi, S. S.(2018). A Study on the Factors Affecting the Intention to Use Drones Delivery Service. Doctoral dissertation, Soongsil University.
|
43 |
Yun, O. J.(2017). A Study on the Key Factors Affecting the Diffusion of Cybersecurity Threat Information Sharing System. Doctoral dissertation, SoongSil University.
|
44 |
Yun, S. Y., & Yeo, J. S.(2021). A Study on the Expanded Consumer Data Sovereignty and Consumer Data Right in the Data Economy. Journal of Consumer studies, 32(5), 169-195.
DOI
|
45 |
Midgley, D. F., & Dowling, G. R(1978). Innovativeness: The concept and its measurement. Journal of Consumer Research, 4(4), 229-242.
DOI
|
46 |
Park, G. H.(2017). The Determinant for the Usage of Big Data in Administrative Service: mainly on the Quality Control of Data. Doctoral dissertation. Keimyeong University.
|
47 |
Petty, R. E., Cacioppo, J. T., & Haugtvedt, C. P(1992). Ego-involvement and persuasion: An appreciative look at the Sherifs contribution. Chapter in D. Granberg and G.Sarup(Eds.) Social Judgment and Intergroup Relations: Essay in Honor of Muzafeherif. New York: Springer-Verlag.
|
48 |
Queiroz, M., & Fosso-Wamba, S.(2019). Blockchain adoption Challenges in supply chain: An empirical investigation of the main drivers in India and the USA. International Journal of Information Management, vol 46, 70-82.
DOI
|
49 |
Shin, S. H.(2019). A Study on the Key Factors Affecting Big Data Utilization Intention of Companies in Organizational, Individual and Management Quality Perspective. Doctoral dissertation, Chonnam National University.
|
50 |
Jeong, K. J.(2020). A Study on the Big Data Utilization of Small and Medium-sized Manufacturing Companies. Doctoral dissertation, Soongsil University.
|
51 |
Korea Data Agency(2021). 2020 Data Industry Report(No. 127004). Seoul: Korea Data Agency.
|
52 |
Slade, E. L., Dwivedi, Y. K., Piercy, N. C., & Williams, M. D.(2015). Modeling consumers's adoption intentions of remote mobile payments in the United Kingdom: extending UTAUT with innovativeness, risk, and trust. Psychology and Marketing. 32(8), 860-873.
DOI
|
53 |
Son, H. J., Lee, S. W., & Cho, M. H.(2014). Influential Factors of College Students' Intention to Use Wearable Device An Application of the UTAUT2 Model. Korean Association For Communication And Information Studies, 68(4), 7-33.
|
54 |
Stubbs, E.(2014). Big data, big innovation: Enabling competitive differentiation through business analytic. NY: John Wiley and Sons.
|
55 |
Kim, J. S.(2016). A Study on Factors Affecting the Intention to Accept Blockchain Technology. Doctoral dissertation, Soongsil University.
|
56 |
Ko, H. S.(2019). A Study on Factors Affecting the Intention to Use Big Data in Businesses. Doctoral dissertation, Soongsil University.
|
57 |
Lee, H. J.(2018). A Study on Factors Affecting the Investment Intention of Information Security. Doctoral dissertation, Soongsil University.
|
58 |
Lee, H. Y.(2012). Research Methodology. Seoul: Cheongram.
|
59 |
Lee, J. D.(2020). The Effect of Technology Acceptance Factors on Behavioral Intention for Agricultural Drone Service by Mediating Effect of Perceived Benefits. Journal of Digital Convergence, 18(8), 151-167.
DOI
|
60 |
Lee, J. W.(2014). Impacts of Small and Medium Enterprises' Recognition of Social Media on Their Behavioral Intention and Use Behavior. Doctoral dissertation, Kookmin University.
|
61 |
Hwang, J. S., & Lee, H. J.(2017). A Study on Unified Theory of Acceptance and Use of Technology(UTAUT) Improvement using Meta-Analysis: Focused on Analysis of Korea Citation Index(KCI)-Listed Researches. The Korean Journal of BigData, 2(2), 47-56.
DOI
|
62 |
Jeong, C. H., & Nam, S. H.(2014). Cloud Computing Acceptance at Individual Level Based on Extended UTAUT. Journal of Digital Convergence, 12(1), 287-294.
DOI
|
63 |
Venkatesh, V., Thong, J. Y., & Xu, X.(2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 158-178.
|
64 |
Lee, M. B.(2012). Influence of the Innovativeness on the Use Intention in SNS: Focused on UTAUT. Journal of Korea Industry System Resource, 17(7), 177-186.
|
65 |
Shin, Y. D.(2011). Relationships among Perceived Value of Service, Relational Benefits, Relationship Factors, and Behavioral Intentions of Customers in Upscale Hotels. Doctoral dissertation. KyeongWon University.
|
66 |
Kang, D. B., Chang, K. J., Lee, Y. K., & Jung, M. U.(2020). A study on the effects of changes in smart farm introduction Conditions on Willingness to Accept Agricultural Application of extended UTAUT Model, Korean Journal of Organic agriculture, 28(2), 119-138.
DOI
|
67 |
Klemper, E. D.(1987). Markets with consumer switching costs. Quartery. Journal of Economics. 102(5), 375-394.
DOI
|
68 |
Kyung, J. I., & Lee, J. W.(2020). The Fourth Industrial Revolution Factors Affecting the Vitalization of Smart Information Technology in Urban Regeneration. Journal of Real Estate Analysis, 12(1), 1-22.
|
69 |
Son, K. J.(2021). A study on the Factors Affecting Utilization Intention of Agricultural Management Data on the Agricultural Big Data Platform. Doctoral dissertation, Soongsil University.
|