과제정보
이 논문은 2019년 대한민국 교육부와 한국연구재단의 지원을 받아 수행된 연구임 (NRF-2019S1A5B5A07111490)
참고문헌
- Bano, S., U.U. Shah, and S. Ali, "Personality and technology: Big five personality traits as descriptors of universal acceptance and usage of technology UTAUT," Library Philosophy and Practice (e-journal)(2019). Available at https://digitalcommons.unl.edu/libphilprac/2773/.
- Baron, R. and D. A. Kenny, "The moderator-mediator variable distinction in social psychology: Conceptual, strategic, and statistical considerations," Journal of Personality and Social Psychology, Vol.51(1986), 1173-1182. https://doi.org/10.1037/0022-3514.51.6.1173
- Bonaccio, S. and R. S. Dalal, "Advice taking and decision-making: An integrative literature review, and implications for the organizational sciences," Organizational Behavior and Human Decision Processes, Vol.101, No.2 (2006), 127-151. https://doi.org/10.1016/j.obhdp.2006.07.001
- Brooks, A. W. and M. Schweitzer, "Can nervous Nelly negotiate? How anxiety causes negotiators to make low first offers, exit early, and earn less profit," Organizational Behavior and Human Decision Processes, Vol.115 (2011), 43-54. https://doi.org/10.1016/j.obhdp.2011.01.008
- Burton, J. W., M. K. Stein, and T. B. Jensen, "A Systematic Review of Algorithm Aversion in Augmented Decision Making," Journal of Behavioral Decision Making, Vol.33, No.2(2020), 220-239. https://doi.org/10.1002/bdm.2155
- Castelo, N., M. W. Bos, and D. R. Lehmann, "Task-dependent algorithm aversion," Journal of Marketing Research, Vol.56, No.5(2019), 809-825. https://doi.org/10.1177/0022243719851788
- Cerin, E. and D. Mackinnon, "A commentary on current practice in mediating variable analyses in behavioral nutrition and physical activity," Public Health Nutrition, Vol.12, No.8(2009), 1182-1188. https://doi.org/10.1017/s1368980008003649
- Choi, K., M. Kim, M. Kim, and D. Moon, Korea Artificial Intelligence Forecast, 2019-2023, IDC, 2020.
- Chung, D., J. Jang, H. Shin, G. Han, D. Kim, and H. Yoon, "The Usage Intention of USIM Application Services in Mobile Environments: Focusing on the Extended Technology Acceptance Model (TAM)," The Journal of Industrial Innovation, Vol.25, No.4(2009), 105-144.
- Colson, E., "What AI-Driven Decision Making Looks Like," Harvard Business review, July(2019), 2-8.
- Dalal, R. S. and S. Bonaccio, "What types of advice do decision-makers prefer?," Organizational Behavior and Human Decision Processes, Vol.112, No.1(2010), 11-23. https://doi.org/10.1016/j.obhdp.2009.11.007
- Davenport, T.H. and J. Kirby, "Beyond automation," Harvard Business Review, Vol.93, No.6(2015), 59-65.
- David. S. and M. Vikram, "Intelligent Automation: A New Era of Innovation," Deloitte Insights (2014)
- Davis, F. D., "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology," MIS Quarterly, Vol.13(1989), 319-340. https://doi.org/10.2307/249008
- Dawes, R. M., D. Faust, and P. E. Meehl, "Clinical versus actuarial judgment," Science, Vol.243, No.4899(1989), 1668-1674. https://doi.org/10.1126/science.2648573
- Dietvorst, B. J., J. P. Simmons, and C. Massey, "Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err.," Journal of Experimental Psychology: General, Vol.144, No.1(2015), 114-126. https://doi.org/10.1037/xge0000033
- Dietvorst, B. J., J. P. Simmons, and C. Massey, "Overcoming Algorithm Aversion: People will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them," Management Science, Vol.64, No.3(2016),1155-1170. https://doi.org/10.1287/mnsc.2016.2643
- Digman, J. M., "Personality structure: Emergence of the five-factor model," Annual Review of Psychology, Vol.41(1990), 417-440. https://doi.org/10.1146/annurev.ps.41.020190.002221
- Duan Y, J. S. Edwards, and Y. Dwivedi, "Artificial intelligence for decision making in the era of Big Data-evolution, challenges and research agenda," International Journal of Information Management, Vol.48(2019), 63-71. https://doi.org/10.1016/j.ijinfomgt.2019.01.021
- Fugener, A., J. Grahl, A. Gupta, and W. Ketter, Collaboration and Delegation Between Humans and AI: An Experimental Investigation of the Future of Work, ERIM Report Series, 2019.
- Gino, F., "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, Vol.107, No.2(2008), 234-245. https://doi.org/10.1016/j.obhdp.2008.03.001
- Gino, F., A. Wood Brooks, and M. E. Schweitzer, "Anxiety, advice and the ability to discern: Feeling anxious motivates individuals to seek and use advice," Journal of Personality and Social Psychology, Vol.102(2012), 497-512. https://doi.org/10.1037/a0026413
- Gino, F. and D. A. Moore, "Effects of Task Difficulty on Use of Advice," Journal of Behavioral Decision Making, Vol.20, No.1(2007), 21-35. https://doi.org/10.1002/bdm.539
- Goldberg, L. R., "An alternative description of personality: The big-five factor structure," Journal of Personality and Social Psychology, Vol.59, No.6(1990), 1216-1229. https://doi.org/10.1037/0022-3514.59.6.1216
- Gosling, S.D., P.J. Rentfrow, and WB. Swann Jr, "A very brief measure of the Big Five personality domains," Journal of Research in Personality, Vol.37(2003), 504-528. https://doi.org/10.1016/S0092-6566(03)00046-1
- Gu, L. and J. Wang, "A Study of Exploring The "BIG FIVE" and Task Technology Fit in Web-Based Decision Support Systems," Issues in Information Systems, Vol.10, No.2 (2009), 210-217.
- Harvey, N. and I. Fischer, "Taking Advice: Accepting Help, Improving Judgment, and Sharing Responsibility," Organizational Behavior and Human Decision Processes, Vol.70, No.2(1997), 117-133. https://doi.org/10.1006/obhd.1997.2697
- Hayes, A. F., "Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium," Communication Monographs, Vol.76, No.4 (2009), 408-420. https://doi.org/10.1080/03637750903310360
- Hayes, A. F., Introduction to mediation, moderation, and conditional process analysis: A regression-based approach, Guilford Press, 2013.
- Howard, C. and A. Rowsell-Jones, 2019 CIO Survey: CIOs Have Awoken to the Importance of AI, Gartner, 2019
- IBM, Transparency and trust in the cognitive era, IBM Think Blog, 2017, Available at https://www.ibm.com/blogs/think/2017/01/ibm-cognitive-principles. January 17.
- Jarrahi, M. H., "Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making," Business Horizons, Vol.61, No.4(2018), 577-586. https://doi.org/10.1016/j.bushor.2018.03.007
- Jung, S. and D. Seo, "Assessing Mediated Moderation and Moderated Mediation: Guidelines and Empirical Illustration," The Korean Journal of Psychology: General, Vol.35, No.1(2016), 257-282. https://doi.org/10.22257/kjp.2016.03.35.1.257
- Kang, S., "Interactive Justice as a Moderated Mediator between Open Communication and Knowledge-sharing Intention," Quarterly Journal of Labor Policy, Vol.18, No.1(2018), 1-38. https://doi.org/10.22914/JLP.2018.18.1.001
- Kim, B., J. Ahn, and Y. Choi, "A Study on the Relationship among Personal Characters of Consumer, Human Brand Attachment, and Loyalty : Focused on Big Five Model," Advertising research, vol.77(2007), 173-195.
- Koo, K., "Artificial Intelligence Technology and Industrial application case," IITP Weekly ICT Trends, Vol.3(2019), 15-27.
- Lakhal, S. and H. Khechine, "Relating personality (Big Five) to the core constructs of the Unified Theory of Acceptance and Use of Technology," Journal of Computers in Education, Vol.4, No.3(2017), 251-282. https://doi.org/10.1007/s40692-017-0086-5
- Lee, C., H. Yun, C. Lee, and J. Lee, " Factors Affecting Continuous Intention to Use Mobile Wallet : Based on Value-based Adoption Model," The Journal of Society for e-Business Studies, Vol.20, No.1(2015), 117-135. https://doi.org/10.7838/JSEBS.2015.20.1.117
- Leslie,D., 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, London, 2019.
- Logg, J. M., J. A. Minson, and D. A. Moore, "Algorithm appreciation: People prefer algorithmic to human judgment," Organizational Behavior and Human Decision Processes, Vol.151(2019), 90-103. https://doi.org/10.1016/j.obhdp.2018.12.005
- MacKinnon, D. P., C. M. Lockwood, and J. Williams, "Confidence limits for the indirect effect: distribution of the product and resampling methods," Multivariate Behavioral Research, Vol.39(2004), 99-128. https://doi.org/10.1207/s15327906mbr3901_4
- Madhavan, P. and DA. Wiegmann, "Effects of information source, pedigree, and reliability on operator interaction with decision support systems," Human Factors, Vol.49, No.5 (2007), 773-785. https://doi.org/10.1518/001872007X230154
- Nam, S., S. Shin, and C. Jin, "A Meta-analysis and Review of External Factors based on the Technology Acceptance Model:Focusing on the Journals Related to Smartphone in Korea," J. Korea Inst. Inf. Commun. Eng., Vol.18, No.4(2014), 848-854. https://doi.org/10.6109/JKIICE.2014.18.4.848
- Nunes, A., T. Limpo, C. F. Lima, and S. L. Castro, "Short scales for the assessment of personality traits: Development and validation of the Portuguese Ten-Item Personality Inventory (TIPI)," Frontiers in Psychology, Vol.9, No.461(2018).
- Onkal, D., G. Paul, T. Mary, G. Sinan, and P. Andrew, "The relative influence of advice from human experts and statistical methods on forecast adjustments," Journal of Behavioral Decision Making, Vol.22, No.4(2009), 390-409. https://doi.org/10.1002/bdm.637
- Prahl, A., F. Dexter, M. T. Braun, and L. Van Swol, "Review of experimental studies in social psychology of small groups when an optimal choice exists and application to operating room management decision-making," Anesthesia & Analgesia, Vol.117, No.5 (2013), 1221-1229. https://doi.org/10.1213/ANE.0b013e3182a0eed1
- Prahl, A. and L. Van Swol, "Understanding algorithm aversion: When is advice from automation discounted?," Journal of Forecasting, Vol.36(2017), 691-702. https://doi.org/10.1002/for.2464
- Preacher, K. J. and A. F. Hayes, "Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models," Behavior Research Methods, Vol.40, No.3(2008), 879-891. https://doi.org/10.3758/BRM.40.3.879
- Preacher, K. J. and A. F. Hayes, "SPSS and SAS procedures for estimating indirect effects in simple mediation models," Behavior Research Methods, Vol.3, No.4(2004), 717-731.
- Promberger, M. and J. Baron, "Do patients trust computers?," Journal of Behavioral Decision Making, Vol.19(2006), 455-468. https://doi.org/10.1002/bdm.542
- Raisch, S. and S. Krakowski, "Artificial Intelligence and Management: The Automation- Augmentation Paradox," Academy of Management Review, Vol.46(2021), 192-210. https://doi.org/10.5465/amr.2018.0072
- Ronayne, D. and D. Sgroi, "Ignoring Good Advice," CAGE Online Working Paper Series, 359 (2018)
- Seo, H., "A Preliminary Discussion on Policy Decision Making of AI in The Fourth Industrial Revolution," Informatization Policy, Vol.26, No.3(2019), 3-35.
- Shankar, V., "How artificial intelligence (AI) is reshaping retailing," Journal of Retailing, Vol.94, No.4(2018), vi-xi. https://doi.org/10.1016/S0022-4359(18)30076-9
- Sobel. M. E., "Asymptotic confidence intervals for indirect effects in structural equation models," Sociological Methodology, Vol.13(1982), 290-312. https://doi.org/10.2307/270723
- Svendsen, G. B., J. A. K. Johnsen., L Almas-Sorensen, and J. Vitterso, "Personality and technology acceptance: the influence of personality factors on the core constructs of the Technology Acceptance Model,". Behavior & Information Technology, Vol.32, No.4 (2013), 323-334. https://doi.org/10.1080/0144929X.2011.553740
- Tetlock, P. E., "Accountability: The neglected social context of judgment and choice," Research in Organizational Behavior, Vol.7(1985), 297-332.
- Van Swol, L. M., J. E. Paik, and A. Prahl, Advice recipients: The psychology of advice utilization, The Oxford handbook of advice (p. 21-41). Oxford University Press, 2018
- Walczuch, R. and H. Lundgren, "Psychological antecedents of institution based consumer Trust in e-retailing," Information & Management, Vol.4(2004), 159-177. https://doi.org/10.1016/j.im.2003.12.009
- Wang, D., A. Khosla, R. Gargeya, H. Irshad, and A. H. Beck, Deep learning for identifying metastatic breast cancer, arXiv, 2016, Available at https://arxiv.org/pdf/1606.05718.
- Wilson, H. J. and P. R. Daugherty, "Collaborative Intelligence: Humans and AI Are Joining Forces," Harvard Business Review, July-August(2018).
- World Economic Forum, The Future of Jobs Report, 2018.
- Yaniv, I., "The benefit of additional opinions," Current Directions in Psychological Science, Vol.13 (2004), 75-78. https://doi.org/10.1111/j.0963-7214.2004.00278.x
- Yasa, N. N. K., "The Application of Technology Acceptance Model on Internet banking Users in the City of Denpasar," Journal of Management and Entrepreneurship, Vol.16, No.2(2014), 93-102.
- Yeomans, M., A. K. Shah, S. Mullainathan, and J. M. Kleinberg, "Making Sense of Recommendations," Journal of Behavioral Decision Making, Vol.32(2019), 403-414. https://doi.org/10.1002/bdm.2118
- Yusoff, Y. M., Z. Muhammad, M. Zahari, E.S. Pasah, and E. Robert, "Individual Differences, Perceived Ease of Use, and Perceived Usefulness in the E-Library Usage," Comput. Inf. Sci., Vol.2(2009), 76-83.
- Yutaka, M., Artificial Intelligence and Deep Learning: Changes and Innovations in the Industrial Structure of Artificial Intelligence, Dong-a mnb, 2015.
- Zhang, D., Z. Daniel, M. Saurabh, E. Brynjolfsson, J. Etchemendy, G. Deep, G. Barbara, L. Terah, M. James, C. N. Juan, S. Michael, S., S. Yoav, C. Jack, and P. Raymond, The AI Index 2021 Annual Report,arXiv preprint arXiv:2103.06312, 2021
- Ziegler, M., E. Danay, M. Heene, J. Asendorpf, and M. Buhner, "Openness, fluid intelligence, and crystallized intelligence: Toward an integrative model," Journal of Research in Personality, Vol.46, No.2(2012), 173-183. https://doi.org/10.1016/j.jrp.2012.01.002