1 |
M. S. Chung, S. H. Jeong & J. Y. Lee. (2018). Analysis of Major Research Trends in Artificial Intelligence Based on Domestic/international Patent Data. Journal of Digital Convergence, 16(6), 187-195. DOI : 10.14400/JDC.2018.16.6.187
DOI
|
2 |
A. Timoshenko & J. R. Hauser (2019), Identifying Customer Needs from User-Generated Content, Marketing Science, 38 (1), 1-20.
DOI
|
3 |
F. J. Ruiz, S. Athey & D. M. Blei. (2017) Shopper: A Probabilistic Model of Consumer Choice with Substitutes and Complements. arXiv preprint arXiv:1711.03560
|
4 |
J. L. Loyer, E. Henriques, M. Fontul & S. Wiseall. (2016). Comparison of Machine Learning Methods Applied to the Estimation of Manufacturing Cost of Jet Engine Components. International Journal of Produ ction Economics 178, 109-119.
DOI
|
5 |
D. Acemoglu, & P. Restrepo. (2018). Artificial Intelligence, Automation and Work. National Bureau of Economic Research Working Papers 24196.
|
6 |
G. Urban, A. Timoshenko, P. Dhillon & J. R. Hauser. (2020), Is Deep Learning a Game Changer for Marketing Analytics?, MIT Sloan Management Review, 61(2), 70-6.
|
7 |
J. W. Jo (2020). Case Studies for Insurance Service Marketing Using Artificial Intelligence(AI) in the InsurTech Industry. Journal of Digital Convergence, 18(10), 175-180. DOI : 10.14400/JDC.2020.18.10.175
DOI
|
8 |
H. J. Han, K. J. Kim & H. S. Kwon. (2020). The Analysis of Elementary School Teachers' Perception of Using Artificial Intelligence in Education. Journal of Digital Convergence, 18(7), 47-56. DOI : 10.14400/JDC.2020.18.7.047
DOI
|
9 |
S. H. Noh (2020). Analysis of Issues Related to Artificial Intelligence Based on Topic Modeling. Journal of Digital Convergence, 18(5), 75-87. DOI : 10.14400/JDC.2020.18.5.075
DOI
|
10 |
S. J. Choi. (2020). Beta-wave Correlation Analysis Model based on Unsupervised Machine Learning. Journal of Digital Convergence, 17(3), 221-226. DOI : 10.14400/JDC.2019.17.3.221
DOI
|
11 |
S. S. Lee, L. H. Yoo & J. H. KIM. (2020). An Analysis of Public Perception on Artificial Intelligence (AI) Education Using Big Data: Based on News Articles and Twitter. Journal of Digital Convergence, 18(6), 9-16. DOI : 10.14400/JDC.2020.18.6.009
DOI
|
12 |
H. Varian. (2018). Artificial Intelligence, Economics, and Industrial Organization. National Bureau of Economic Research Working Papers 24839.
|
13 |
M. Wan et al. (2017). Modeling Consumer Preferences and Price Sensitivities from Large-scale Grocery Shopping Transaction Logs. In Proceedings of the 26th International Conference on World Wide Web.. 1103-1112.
|
14 |
H. S. Lee et al. (2020.7.28.) LG, Automating Production in Secondary Partners Using AI and Big-Data. Maeil Business Newspaper. https://www.mk.co.kr/news/special-edition/view/2020/07/768385/
|
15 |
I. C. Reimers & J. Waldfogel. (2020). Digitization and Pre-Purchase Information: The Causal and Welfare Impacts of Reviews and Crowd Ratings. National Bureau of Economic Research Working Papers 26776.
|
16 |
X. Liu, D. Lee & K. Srinivasan. (2019), Large-Scale Cross-Category Analysis of Consumer Review Content on Sales Conversion Leveraging Deep Learning, Journal of Marketing Research, 46(6), 918-43.
|
17 |
S. Ahtey, D. Blei, R. Donnelly, F. Ruiz & T. Schmidt. (2018). Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data. In AEA Papers and Proceedings, 108, 64-67.
|
18 |
R. Evans & J. Gao. (2016). Deepmind AI Reduces Google Data Centre Cooling Bill by 40%. DeepMind blog 20. https://deepmind.com/blog/article/deepmind-ai-reduces-google-data-centre-cooling-bill-40
|
19 |
B. K. Choi, S. W. Ham, C. H. Kim, J. S. Seo, M. H. Park & S. H. Kang (2020). Development of Predictive Model for Length of Stay(LOS) in Acute Stroke Patients Using Artificial Intelligence. Journal of Digital Convergence, 16(1), 231-242. DOI : 10.14400/JDC.2018.16.1.231
DOI
|
20 |
S. H. Hong (2020). A Research on stock price prediction based on Deep Learning and Economic Indicators. Journal of Digital Convergence, 18(11), 267-272. DOI : 10.14400/JDC.2020.18.11.267
DOI
|
21 |
M. I. Jordan & T. M. Mitchell. (2015). Machine Learning: Trends, Perspectives, and Prospects. Science 349(6245) 255-260.
DOI
|
22 |
J. Kleinberg, J. Ludwig, S. Mullainathan & Z. Obermeyer. (2015). Prediction Policy Problems. Amer ican Economic Review 105 (5), 491-95.
DOI
|
23 |
McKinsey & Company. (2020). Global Survey: The State of AI in 2020. New York : McKinsey
|
24 |
S. Hwang & Y. J. Nam. (2020). The Role of Confidence in Government in Acceptance Intention towards Artificial Intelligence. Journal of Digital Convergence, 18(8), 217-224. DOI : 10.14400/JDC.2020.18.8.217
DOI
|
25 |
Y. H. Ko & C. S. Leem. (2021). The Influence of AI Technology Acceptance and Ethical Awareness towards Intention to Use. Journal of Digital Convergence, 19(3), 217-225. DOI : 10.14400/JDC.2021.19.3.217
DOI
|
26 |
D. Zhang, S et al. (2021). The AI Index 2021 Annual Report. Stanford : Stanford University.
|
27 |
M. S. Chung, H. H. Jeong, U. Chae, G. H. Lee & J. Y. Lee. (2017). A Study On Technical Trend Analysis Related to Semantic Analysis of NLP Through Domestic/Foreign Patent Data. Journal of Digital Convergence, 18(1), 137-146. DOI : 10.14400/JDC.2020.18.1.137
DOI
|
28 |
M. S. Chung, S. H. Park, B. H. Chae & J. Y. Lee. (2017). Analysis of Major Research Trends in Artificial Intelligence through Analysis of Thesis Data. Journal of Digital Convergence, 15(5), 225-233. DOI : 10.14400/JDC.2017.15.5.225
DOI
|
29 |
P. Bajari, D. Nekipelov, S. P. Ryan & M. Yang. (2015). Demand Estimation with Machine Learning and Model Combination. American Economic Review, 105 (5), 481-85.
DOI
|
30 |
M. Farboodi, R. Mihet, T. Philippon & L. Veldkamp. (2019). Big Data and Firm Dynamics. National Bur eau of Economic Research Working Papers 25515.
|
31 |
I. M. Cockburn, R. Henderson & S. Stern. (2018). The Impact of Artificial Intelligence on Innovation. National Bureau of Economic Research Working Papers 24449.
|
32 |
S. K. Chung. (2012). A Study on the Possibility of Self-Correction in the Market for Protecting Internet Privacy. Journal of Digital Convergence, 10(9), 27-37. UCI : G704-002010.2012.10.9.015
DOI
|
33 |
D. R. Shin. (2010). The Effect of the Application of an Agreement based on Game Theory about Corporal Punishment to Students' School Life Satisfaction. Journal of Digital Convergence, 8(3), 1-17. UCI : G704-002010.2010.8.3.001
|
34 |
M. K. Shin. (2018.8.17.). At Logistic and Manufacturing Site."Well-made AI, I Do Not Envy Ten Workers". Dong-A Ilbo. https://www.donga.com/news/Economy/article/all/20180816/91547679/1
|
35 |
N. Wingfield (2017. 9. 10). As Amazon Pushes Forward with Robots, Workers Find New Roles. The New York Times. https://www.nytimes.com/2017/09/10/technology/amazon-robots-workers.html
|