Ministry of Health and Welfare. A study on the actual condition of continuing education in healthcare professionals. Seoul: Ministry of Health and Welfare; 2013. Available from: http://www.prism.go.kr/homepage/researchCommon/retrieveResearchDetailPopup.do?research_id=1351000-201300214.
Kwon S, Yun S. A study on the effect of e-learning characteristic on the adoption intention. Korea Society of Information Technology Applications. 2007;7(1):126-142.
Lee J, Lee JK. Conceptualizing e-learning. Interdisciplinary Journal of Adult & Continuing Education. 2005;8(3):1-31.
Noh KS, Ju SH, Jung JT. An exploratory study on concept and realization conditions of smart learning. Journal of Digital Convergence. 2011;9(2):79-88.
Lim K. Research on developing instructional design models for enhancing smart learning. Journal of Korean Association of Computer Education. 2011;14(2):33-45.
Gormley DK. Considerations when developing online continuing education programs in nursing. Journal for Nurses in Professional Development. 2013;29(3):149-151. http://dx.doi.org/10.1097/NND.0b013e318291c47d
Kim MS, Park JH. Development of a drug dosage calculation learning smartphone application. Journal of the Korea Academia-Industrial Cooperation Society. 2013;14(5): 2251-2261. http://dx.doi.org/10.5762/KAIS.2013.14.5.2251
Yoo IY, Lee YM. The effects of mobile applications in cardiopulmonary assessment education. Nurse Education Today. 2015;35(2):e19-e23. http://dx.doi.org/10.1016/j.nedt.2014.12.002
Pyo MY, Kim JY, Sohn JO, Lee ES, Kim HS, Kim KO, et al. The effects of an advanced cardiac life support training via smartphone's simulation application on nurses' knowledge and learning satisfaction. Journal of Korean Clinical Nursing Research. 2012;18(2):228-238.
Davis FD, Bagozzi RP, Warshaw PR. User acceptance of computer technology: A comparison of two theoretical models. Management Science. 1989;35(8):982-1003. http://dx.doi.org/10.1287/mnsc.35.8.982
Khanh NTV, Gim G. Factors influencing mobile-learning adoption intention: An empirical investigation in high education. Journal of Social Sciences. 2014;10(2):51-62. http://dx.doi.org/10.3844/jssp.2014.51.62
Smith SE, Drake LE, Harris JGB, Watson K, Pohlner PG. Clinical informatics: A workforce priority for 21st century healthcare. Australian Health Review. 2011;35(2):130-135. http://dx.doi.org/10.1071/AH10935
Walker PH, Walker JM. Nursing informatics: Opportunities for administrators, clinicians, educators, and researchers. Journal of the American Psychiatric Nurses Association. 1995;1(1):22-29. http://dx.doi.org/10.1177/107839039500100107
Kim MH, Kim MS, Chae SW, Kim YS. Relationship of nursing informatics competency and self-leadership among hospital nurses. Korean Academy of Nursing Administration. 2007;13(2):176-183.
Kim MS. Role of self-leadership in the relationship between organizational culture and informatics competency. Journal of Korean Academy of Nursing. 2009;39(5):731-740. http://dx.doi.org/10.4040/jkan.2009.39.5.731
Lee SA. Over half of the workers feel that "I was addicted to smartphone"... They use 5.2 mean hours daily. Korea JoongAng Daily. 2015 July 15.
Kim HJ, Kim JH, Jeong SH. Predictors of smartphone addiction and behavioral patterns. Journal of Cybercommunication Academic Society. 2012;29(4):55-93.
Li M. The effect of flow and addiction of mobile game on user's satisfaction and loyalty [master's thesis]. Seoul: Seoul National University; 2006
Lee JH. Exploring the explanatory factors between active smartphoneuse and smartphone addiction: Focused on use behavior and resilience [master's thesis]. Seoul: Sogang University; 2015
Staggers N, Gassert CA, Curran C. Informatics competencies for nurses at four levels of practice. Journal of Nursing Education. 2001;40(7):303-316.
Kim MS. Validity and reliability of informatics competencies for nurses among Korean nurses. Korean Journal of Adult Nursing. 2008;20(3):470-480.
National Information Society Agency. A survey on internet addiction. Seoul: National Information Society Agency; 2014. Report No.: NIA V-RER-14112. Available from: http://www.nia.or.kr/bbs/board_view.asp?BoardID=201408061323065914&id=15626&Order=020303&search_target=&keyword=&Flag=020000&nowpage=1&objpage=0.
Akour H. Determinants of mobile learning acceptance: an empirical investigation in higher education [dissertation]. Oklahoma: Oklahoma State University; 2009.
Han SM, Lee HS. Nurses' reasons for participation in continuing nursing education. Journal of Vocational Education Research. 2010;29(2):189-204.
Go JH, Han MR, Hur J. The analysis of raw data of completion of off-line continuing education in nursing in Seoul, 2008-2012. Journal of Digital Convergence. 2014; 12(6):527-538. http://dx.doi.org/10.14400/JDC.2014.12.6.527
Han S, Kim S. Analysis of learner competencies through digital textbooks and smart-learning. Journal of the Korean Association of Information Education. 2015;19(2):207-214. http://dx.doi.org/10.14352/jkaie.2015.19.2.207
Heo HO, Lim KY, Kim HJ, Lee HW. Validation of the assessment instrument for teacher competency for SMART education. Journal of Korean Association for Educational Information and Media. 2013;19(2):151-173.
Eley R, Fallon T, Soar J, Buikstra E, Hegney D. Barriers to use of information and computer technology by Australia's nurses: A national survey. Journal of Clinical Nursing. 2009;18(8):1151-1158. http://dx.doi.org/10.1111/j.1365-2702.2008.02336.x
Kim M. A study on educational application of smart devices for enhancing the effectiveness of problem solving learning. Journal of Internet Computing and Services. 2014;15(1): 143-156. http://dx.doi.org/10.7472/jksii.2014.15.1.143
Ajzen I, Madden TJ. Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control. Journal of Experimental Social Psychology. 1986;22(5): 453-474. http://dx.doi.org/10.1016/0022-1031(86)90045-4