1 |
ARM. (2017). AI Today, AI Tomorrow : Awareness, acceptance and anticipation of AI : A global consumer perspective.
|
2 |
PEGA. (2017). What Consumers Really Think About AI: A Global Study.
|
3 |
M. L. Ashour & R. M. Al-qirem. (2021). Consumer Adoption of Self-Service Technologies: Integrating the Behavioral Perspective with the Technology Acceptance Model. The Journal of Asian Finance, Economics and Business, 8(3), 1361-1369. DOI : 10.13106/jafeb.2021.vol8.no3.1361
DOI
|
4 |
B. Smith, P. Caputi & Rawstorne, P. (2000). Differentiating Computer Experience And Attitudes Toward Computers: An Empirical Investigation. Computer in Behavior, 16(1), 59-81.
DOI
|
5 |
Y. Y. Kim, S. J. Oh, J. H. Ahn & J. J. Jang. (2008). What happens after IT adoption?: Role of habits, confirmation, and computer self-efficacy formed by the experiences of use. Asia Pacific Journal of Information Systems, 18(1), 25-52.
|
6 |
F. Gino. (2008). Do we listen to advice just because we paid for it? The impact of advice cost on its use. Organizational Behavior and Human Decision Processes, 107(2), 234-245. DOI : 10.1016/j.obhdp.2008.03.001
DOI
|
7 |
S. Taylor & P.A. Todd. (1995). Assessing IT usage: the role of prior experience. Management Information Systems Quarterly, 19, 561-570. DOI : 10.2307/249633
DOI
|
8 |
P.Stone et al. (2016). Artificial Intelligence and Life in 2030. One Hundred Year Study on Artificial Intelligence: Report of the 2015-2016 Study Panel. Stanford :Stanford University. Doc: http://ai100.stanford.edu/2016-report.
|
9 |
I. Yaniv.(2004). The Benefit of Additional Opinions. Current Directions in Psychological Science, 13(2),. 75-78. DOI : 10.1111/j.0963-7214.2004.00278.x
DOI
|
10 |
F. Gino & D. A. Moore. (2007). Effects of Task Difficulty on Use of Advice. Journal of Behavioral Decision Making, 20(1) 21-35. DOI : 10.1002/bdm.539
DOI
|
11 |
J. M.. Logg, J. A. Minson & D. A. Moore. (2019). Algorithm appreciation: People prefer algorithmic to human judgment. Organizational Behavior and Human Decision Processes, 151, 90-103. DOI : 10.1016/j.obhdp.2018.12.005
DOI
|
12 |
M. Yutaka.(2015).Artificial Intelligence and Deep Learning: Changes and Innovations in the Industrial Structure of Artificial Intelligence, Seoul: Dong-a mnb.
|
13 |
Phillips, E. M. (1999). If it works, it's not AI: a commercial look at artificial intelligence startups (Doctoral dissertation, Massachusetts Institute of Technology).
|
14 |
H. Choi., Kim, Y. Kim & J. Kim. (2010). An acceptance model for an internet protocol television service in korea with prior experience as a moderator. Service Industries Journal, 30(11), 1883-1901. DOI : 10.1080/02642060802627178
DOI
|
15 |
P. Hanafizadeh, S. Ghandchi & M. Asgarimehr. (2017). Impact of Information Technology on Lifestyle: A Literature Review and Classification. Int. J. Virtual Communities Soc. Netw., 9, 1-23. DOI : 10.4018/IJVCSN.2017040101
DOI
|
16 |
K.H.Lee (2019). The Digital Divide and Challenges in Intelligence Information Society. Health and welfare policy forum, 274,16-28
|
17 |
The Presidential Committee on the 4th industrial revolution. (2021). Public perception survey on the use of artificial intelligence.
|
18 |
McCorduck, Pamela (2004), Machines Who Think (2nd ed.), Natick, MA: A. K. Peters, Ltd., ISBN 1-56881-205-1.
|
19 |
Haenlein, Michael; Kaplan, Andreas (2019). "A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence". California Management Review. 61 (4): 5-14. doi:10.1177/0008125619864925. S2CID 199866730.
DOI
|
20 |
V. Venkatesh. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research,11(4), 342-365. DOI ; 10.1287/isre.11.4.342.11872
DOI
|
21 |
H. Shengnan. (2003). Individual adoption of IS in organisations: A literature review of technology acceptance model (TUCS Technical Report, No. 540, 1-45). Finland: Turku Centre for Computer Science, ISBN: 952-12-1189-X.
|
22 |
M. K. Kang & J. S. Lee.(2019). The Influence of Podcast Motivation on Use and Satisfaction :Focusing on the Moderation Role of Radio Preference and Participation Experience. Korean Journal of Broadcasting and Telecommunication Studies, 33(2), 5-34.
|
23 |
IDC. (2020). Korea Artificial Intelligence Forecast, 2019-2023.
|
24 |
D. Leslie. (2019). Understanding artificial intelligence ethics and safety: A guide for the responsible design and implementation of AI systems in the public sector. The Alan Turing Institute. DOI : 10.5281/zenodo.3240529
DOI
|
25 |
Hofstadter, Douglas (1980), Godel, Escher, Bach: an Eternal Golden Braid.
|
26 |
H. J. Wilson & P. R. Daugherty. (2018). Collaborative Intelligence: Humans and AI Are Joining Forces. Harvard Business Review. July/August Issue, 114-123.
|
27 |
D. Gefen. E. Karahanna & D. W. Straub. (2003a). Trust and TAM in online shopping: An integrated model. MIS quarterly, 27(1), 51-90.
DOI
|
28 |
D. Gefen, E. Karahanna & D.W. Straub. (2003b). Inexperience and experience with online stores: The importance of TAM and trust. IEEE Transactions on engineering management, 50(3), 307-321.
DOI
|
29 |
S. Bonaccio & R. S. Dalal. (2006). Advice taking and decision-making: An integrative literature review, and implications for the organizational sciences. Organizational Behavior and Human Decision Processes,101(2), 127-151. DOI : 10.1016/j.obhdp.2006.07.001
DOI
|
30 |
V. Venkatesh & F. D. Davis. (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
DOI
|
31 |
S. Chang & D. Youm. (2018). The Effects of User Experience on Facebook Acceptance Behavior and Advertising Acceptance Behavior. Journal of Digital Convergence, 16(3), 169-179. DOI : 10.14400/JDC.2018.16.3.169
DOI
|
32 |
J. I. Kim & I. S. Kim. (2014). A Study on how Smartphone Users' Experiences Affect Consumer Loyalty Affect. Global Business Administration Review, 11(1), 179-203. DOI : 10.17092/jibr.2014.11.1.179
DOI
|
33 |
J. Y. Sung & K. H. Park. (2011). A Study on Influence of Smart-Phone User Interface upon Brand Loyalty : with a focus on coordinating role of perceived skills on the device. Journal of Basic Design & Art 12(1), 311-322.
|