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    ์ž ์žฌ์  ์†Œ๋น„์ž์˜ ๊ด€์ ์œผ๋กœ ์ž์œจ์ฃผํ–‰์ž๋™์ฐจ์— ๋Œ€ํ•œ ํ˜์‹ ์ €ํ•ญ ๋ถ„์„ : ์ž ์žฌ์ ์ธ ๋ฆฌ์Šคํฌ์™€ ์†Œ๋น„์ž ํƒœ๋„๊ฐ€ ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์ค‘์‹ฌ์œผ๋กœ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› ๊ณต๊ณผ๋Œ€ํ•™ ํ˜‘๋™๊ณผ์ • ๊ธฐ์ˆ ๊ฒฝ์˜ยท๊ฒฝ์ œยท์ •์ฑ…์ „๊ณต, 2017. 8. Jorn Altmann.Because of developed technology in artificial intelligence (AI), robots can replace human work and reduce time and resources. One of the main technological applications of AI is in autonomous (self-driving) cars which are expected to be driven by robots and AI systems instead of human drivers. The National Highway Traffic Safety Administration (NHTSA) have presented five degrees of autonomous car level employing Advanced Driver Assistance Systems (ADASs). From non-autonomous to fully autonomous cars, the functions carried out by an ADAS are added sequentially. Currently, vehicles in level 2, which includes two primary function junctions, are available on the automobile industry market, so the need for research into self-driving cars is obvious to investigate the gap between the market situation and customer perspective toward autonomous cars. In previous literature, a technology acceptance model (TAM) has only emphasized technological aspects and their effect on customers positive adoption, and innovation has always been seen as a positive aspect. However, the concept of innovation resistance has given new insight into accepting innovation in the psychological area. Therefore, in this paper, the focus is on innovation resistance and its factors, which are customer attitude and perceived resistance, with regard to different levels of autonomy based on Rams (1987) innovation model, but with extended variables of perceived risk and customer attitude. The data were collected from 335 samples from online surveys, the participants of which ranged in age from 20 to 60the data were distributed uniformly by age and gender groups. The target participants for the survey were individuals who were willing to buy a car within 10 years and had a drivers license. The model was analyzed with a multiple regression model using dependent variables of innovation resistance and intention to adopt. Potential risks were shown to have a positive impact whereas customer attitudes were shown to have a negative impact on innovation resistance. In addition, we found that customer attitude and potential risk factors had different effects on innovation resistance and innovation acceptance. As a result, while the risk of social and physical risks influenced innovation resistance, consumer attitudes such as economic risk, pleasure, and rigidity were more influential on the intention to adopt.Chapter 1. Introduction 1 1.1 Introduction 1 1.2 Problem Description 1 1.3 Research Objective 3 Chapter 2. Literature Review 4 2.1 Self-Driving Car 4 2.1.1 Definitions of Self-Driving Car 4 2.1.2 Five levels of Self-driving car 5 2.1.3 Current state of Self-driving car in a market 8 2.1.4 Challenges of Self-driving car 9 2.2 Innovation Resistance 11 2.2.1 Two different views for innovation 11 2.2.2 Factors of innovation resistance 14 2.2.3 The relationship between innovation resistance and intention to adoption 17 2.2.4 Highlights gaps from previous research 19 Chapter 3. Methodology 19 3.1 Research Model 19 3.2 Variables 21 3.2.1 Dependent Variable 22 3.2.2 Explanatory Variables 23 3.3 Survey Procedure and Sampling 29 3.4 Data Distribution 31 3.5 Data Quality 37 3.6 Methodology 40 3.6.1 Multiple regression model 40 Chapter 4. Analysis Result 43 4.1 Multiple regression Model 43 4.1.1 Model 1: Innovation resistance 43 4.1.2 Model 2 : Intention to Adoption 49 4.1.3 Comparison results between innovation resistance and intention to adoption 56 4.1.4 Outliers 57 4.2 Additional Analysis 58 4.2.1 Customer group descriptions 59 Chapter 5. Conclusion 77 Appendix 1: Survey questions conducted in this study 93Maste

    A multilevel survival analysis of the influencing factors of nurse turnover: Centered on nursing unit management indicators

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    ๊ฐ„ํ˜ธํ•™๊ณผ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ฐ„ํ˜ธ์‚ฌ์˜ ๊ฐœ์ธํŠน์„ฑ, ๊ฐ„ํ˜ธ๋‹จ์œ„ ํŠน์„ฑ์ด ์ด์ง์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ผ ์ƒ๊ธ‰์ข…ํ•ฉ๋ณ‘์›์— 2011๋…„์—์„œ 2015๋…„ ์‚ฌ์ด์— ์ฑ„์šฉ๋œ ์‹ ๊ทœ๊ฐ„ํ˜ธ์‚ฌ 1,185๋ช…์„ ์ตœ์†Œ 1๋…„~5๋…„๊ฐ„ ์ถ”์ ๊ด€์ฐฐํ•˜์˜€๋‹ค. ๋ฌธํ—Œ๊ณ ์ฐฐ๊ณผ ์ž„์ƒ์  ๊ฒฝํ—˜์— ์˜ํ•˜์—ฌ ๊ฐœ์ธํŠน์„ฑ๋ณ€์ˆ˜๋Š” ๋‚˜์ด, ์„ฑ๋ณ„, ์ถœ์‹ ๊ต ์†Œ์žฌ์ง€, ํ•™๋ ฅ, ํฌ๋ง๋ถ€์„œ ๋ฐฐ์น˜์—ฌ๋ถ€, ๊ต์œก๋ถ€์„œ ๋ฐฐ์น˜์—ฌ๋ถ€, ๋ถ€์„œ์ด๋™ ๊ฒฝํ—˜, ๊ฑด๊ฐ•์ƒํƒœ(๋ณ‘๊ฐ€์‚ฌ์šฉ ์œ ๋ฌด), ๊ฐ„ํ˜ธ๋‹จ์œ„ ํŠน์„ฑ ๋ณ€์ˆ˜๋Š” ๋ณ‘์ƒ๊ฐ€๋™์œจ, Unit Activity Index(UAI), ํ™˜์ž์ค‘์ฆ๋„, ์ดˆ๊ณผ๊ทผ๋ฌด์‹œ๊ฐ„, ํœด๊ฐ€์‚ฌ์šฉ์œจ, ์ด์ง์ธ์›, ํœด์ง์ธ์›์œผ๋กœ ์ •์˜ํ•˜์˜€์œผ๋ฉฐ, ๋ณ€์ˆ˜์˜ ์œ„๊ณ„์  ํŠน์„ฑ์„ ๊ณ ๋ คํ•˜์—ฌ ๋‹ค์ˆ˜์ค€ ๋ชจํ˜•์„ ๊ตฌ์ถ•ํ•˜์—ฌ ๋‹ค์ˆ˜์ค€ ์ƒ์กด๋ถ„์„์„ ์‹œํ–‰ํ•˜์˜€๋‹ค. ๋‹จ๋ณ€๋Ÿ‰ ๋ถ„์„ ๊ฒฐ๊ณผ ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ์žˆ๋Š”(p<.05) ๋ณ€์ˆ˜๋ฅผ ํฌํ•จํ•˜์˜€์œผ๋ฉฐ, ๊ตฌ์ฒด์ ์ธ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. 1. ๊ฐ„ํ˜ธ์‚ฌ์˜ 26.2%๊ฐ€ ์ด์งํ•˜์˜€๊ณ , ๋ˆ„์  ์ด์ง์œจ์€ 3๊ฐœ์›” ์ด๋‚ด 3.8%, 1๋…„ ์ด๋‚ด 8.5%, 2๋…„ ์ด๋‚ด 16.0%, 3๋…„ ์ด๋‚ด 21.9% ์˜€๋‹ค. 2. ๋‹ค์ˆ˜์ค€ ๋‹จ๋ณ€๋Ÿ‰ ์ƒ์กด๋ถ„์„ ๊ฒฐ๊ณผ, ๊ฐ„ํ˜ธ๋‹จ์œ„ ํŠน์„ฑ ์ค‘ ๋‚ด๊ณผ๊ณ„ ๋ณ‘๋™์— ๋น„ํ•ด ์ž…์‚ฌ์‹œ ๊ทผ๋ฌด๋ถ€์„œ๊ฐ€ ์ˆ˜์ˆ ์‹ค/ํšŒ๋ณต์‹ค์ธ ๊ฒฝ์šฐ 2.69๋ฐฐ(HR=0.372, p=.0039), ์ตœ์ข…๊ทผ๋ฌด๋ถ€์„œ๊ฐ€ ์ˆ˜์ˆ ์‹ค/ํšŒ๋ณต์‹ค์ธ ๊ฒฝ์šฐ 3.07๋ฐฐ(HR=0.326, p=.0003), ์™ธ๋ž˜/๊ฒ€์‚ฌ์‹ค ๋“ฑ์ธ ๊ฒฝ์šฐ 4.59๋ฐฐ(HR=0.218, p<.0001), ์ตœ์ข…๋ถ€์„œ์˜ ๊ทผ๋ฌด์‹œ๊ฐ„ ์œ ํ˜•์ด 2๊ต๋Œ€/์ƒ๊ทผ์ธ ๊ฒฝ์šฐ 4.02๋ฐฐ(HR=0.249, p<.0001) ์ด์ง์œ„ํ—˜์ด ๋‚ฎ์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. 3. ๋ณ‘๋™๊ฐ„ํ˜ธ์‚ฌ๋ฅผ ๋Œ€์ƒ์œผ๋กœ ๋‹ค์ˆ˜์ค€ ๋‹ค๋ณ€๋Ÿ‰ ์ƒ์กด๋ถ„์„์„ ์‹œํ–‰ํ•œ ๊ฒฐ๊ณผ, ๊ฐœ์ธํŠน์„ฑ ๋ณ€์ˆ˜ ์ค‘ ๋‚˜์ด๊ฐ€ 1์„ธ ์ฆ๊ฐ€ํ•  ๋•Œ 1.09๋ฐฐ(HR=1.097, p=.0111), ์ด๋™๊ฒฝํ—˜์ด ์—†๋Š” ์‚ฌ๋žŒ์ด 2.06๋ฐฐ(HR=0.485, p=.0004), ๋ณ‘๊ฐ€๋ฅผ ์‚ฌ์šฉํ•˜์ง€ ์•Š์€ ์‚ฌ๋žŒ์ด 2.87๋ฐฐ(HR=0.348, p<.0001) ์ด์ง์˜ ์œ„ํ—˜์ด ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ๊ฐ„ํ˜ธ๋‹จ์œ„ ํŠน์„ฑ๋ณ€์ˆ˜ ์ค‘ ๊ฐ„ํ˜ธ๋‹จ์œ„์˜ ๋…„๊ฐ„ ์ดˆ๊ณผ๊ทผ๋ฌด์‹œ๊ฐ„์ด 1์‹œ๊ฐ„ ์ฆ๊ฐ€ํ•  ๋•Œ 1.00๋ฐฐ(HR=1.002, p<.0001), ํœด๊ฐ€์‚ฌ์šฉ์œจ์ด 1% ๊ฐ์†Œํ•  ๋•Œ 1.03๋ฐฐ(HR=0.969, p<.0001), ์ด์ง์ธ์›์ด 1๋ช… ์ฆ๊ฐ€ํ•  ๋•Œ 1.5๋ฐฐ(HR=1.535, p<.0001), ํœด์ง์ธ์›์ด 1๋ช… ๊ฐ์†Œํ•  ๋•Œ 1.2๋ฐฐ(HR=0.836, p=.0411) ์ด์ง์œ„ํ—˜์ด ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. 4. ์ƒ์กด๊ธฐ๊ฐ„๋ณ„(1๋…„ ๋ฏธ๋งŒ, 1๋…„ ์ด์ƒ) ๋‹ค์ˆ˜์ค€ ๋‹ค๋ณ€๋Ÿ‰ ์ƒ์กด๋ถ„์„๊ฒฐ๊ณผ, ๊ณตํ†ต์ ์œผ๋กœ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๋ณ€์ˆ˜๋Š” ๋ถ€์„œ์ด๋™ ๊ฒฝํ—˜, ๊ฑด๊ฐ•์ƒํƒœ, ํœด๊ฐ€์‚ฌ์šฉ์œจ, ์ด์ง์ธ์›์ด๋ฉฐ, 1๋…„ ๋ฏธ๋งŒ ์ƒ์กดํ•œ ๊ฐ„ํ˜ธ์‚ฌ์—๊ฒŒ๋Š” ์ดˆ๊ณผ๊ทผ๋ฌด์‹œ๊ฐ„, 1๋…„ ์ด์ƒ ์ƒ์กดํ•œ ๊ฐ„ํ˜ธ์‚ฌ์—๊ฒŒ๋Š” ํœด์ง์ธ์›์ด ๊ฐ๊ฐ ์œ ์˜๋ฏธํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ฐ„ํ˜ธ์‚ฌ์˜ ์ด์ง์— ๋Œ€ํ•ด ๊ฐ„ํ˜ธ๋‹จ์œ„์—์„œ ๊ด€๋ฆฌํ•˜๋Š” ์ง€ํ‘œ๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ์ถ”์ ๊ด€์ฐฐํ•˜๊ณ  ๋ณ€์ˆ˜์˜ ์œ„๊ณ„์  ํŠน์„ฑ์„ ๊ณ ๋ คํ•œ ๋‹ค์ˆ˜์ค€ ์ƒ์กด๋ถ„์„์„ ์ ์šฉํ•˜์˜€๋‹ค๋Š” ๊ฒƒ์— ์˜์˜๊ฐ€ ์žˆ์œผ๋‚˜ ๊ฐœ์ธ์˜ ์ฃผ๊ด€์  ์ธ์‹์„ ํฌํ•จํ•˜์ง€ ๋ชปํ•œ ํ•œ๊ณ„๊ฐ€ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•˜์—ฌ ๊ฐ„ํ˜ธ์‚ฌ์˜ ๋‚˜์ด, ์ด๋™๊ฒฝํ—˜, ๊ฑด๊ฐ•์ƒํƒœ, ์ดˆ๊ณผ๊ทผ๋ฌด์‹œ๊ฐ„, ํœด๊ฐ€์‚ฌ์šฉ์œจ, ์ด์ง๊ณผ ํœด์ง์ธ์›์ด ์ด์ง์˜ ์œ„ํ—˜์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์„ ๋ฐํž˜์œผ๋กœ์จ, ํ–ฅํ›„ ๊ฐ„ํ˜ธ์‚ฌ์˜ ์—…๋ฌด ํ™˜๊ฒฝ ๊ฐœ์„ ์„ ํ†ตํ•œ ๊ฐ„ํ˜ธ์‚ฌ ์ด์ง ๊ด€๋ฆฌ์— ๊ธฐ์—ฌํ•  ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค.open๋ฐ•

    Dynamic job analysis of the cancer care coordinator in a general hospital

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    ๊ฐ„ํ˜ธํ•™๊ณผ/์„์‚ฌ[ํ•œ๊ธ€] ๋ณธ ์—ฐ๊ตฌ๋Š” ์•” ํ™˜์ž์˜ ํ†ตํ•ฉ์ ์ด๊ณ  ์—ฐ์†์ ์ธ ๊ด€๋ฆฌ์™€ ๋น„์šฉํšจ๊ณผ์  ์„œ๋น„์Šค ์ œ๊ณต์„ ์œ„ํ•ด ๋™ํƒœ์  ์ง๋ฌด๋ถ„์„์„ ์ด์šฉํ•˜์—ฌ ์•” ํ™˜์ž ์ผ€์–ด ์ฝ”๋””๋„ค์ดํ„ฐ์˜ ์ง๋ฌด๊ธฐ์ˆ ์„œ, ์ง๋ฌด๋ช…์„ธ์„œ ๋ฐ ์ง๋ฌด ํ”„๋กœ์„ธ์Šค ๋งต์„ ๊ฐœ๋ฐœํ•˜๊ณ ์ž ์‹œ๋„๋œ ๋ฐฉ๋ฒ•๋ก ์  ์—ฐ๊ตฌ์ด๋‹ค.๋ณธ ์—ฐ๊ตฌ๋ฅผ ์œ„ํ•˜์—ฌ ์ผ ์ข…ํ•ฉ๋ณ‘์›์˜ ์œ„์•”, ๊ฐ„์•”, ๋Œ€์žฅ์•”, ๊ฐ‘์ƒ์„  ์•”, ๋ถ€์ธ์•”, ์œ ๋ฐฉ์•”, ๋‡Œ์ข…์–‘, ๋น„๋‡จ๊ธฐ์•”, ํ์•” ๋“ฑ 9๊ฐœ ์•” ์˜์—ญ์—์„œ ํ™œ๋™ํ•˜๊ณ  ์žˆ๋Š” ์•” ํ™˜์ž ์ผ€์–ด ์ฝ”๋””๋„ค์ดํ„ฐ๋ฅผ ํฌ์ปค์Šค ๊ทธ๋ฃน์œผ๋กœ ์„ ์ •ํ•˜์˜€์œผ๋ฉฐ, ๋ณธ ์—ฐ๊ตฌ๋Š” ์†ก์ƒํ˜ธ(1997)์˜ ๋™ํƒœ์  ์ง๋ฌด๋ถ„์„์„ ์ˆ˜์ •ํ•˜์—ฌ ์ˆ˜์ง์  ์ง๋ฌด๋ถ„์„์˜ 3๋‹จ๊ณ„์™€ ์ˆ˜ํ‰์  ์ง๋ฌด๋ถ„์„์˜ 3๋‹จ๊ณ„๋กœ ์ด๋ฃจ์–ด์กŒ๋‹ค.์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋ฅผ ์š”์•ฝํ•˜๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™์•˜๋‹ค.1. ๋ฌธํ—Œ๊ณ ์ฐฐ, ํ˜„์žฅ์กฐ์‚ฌ, ํฌ์ปค์Šค ๊ทธ๋ฃน ํšŒ์˜, ๊ฐ„ํ˜ธ๋Œ€ํ•™ ๊ต์ˆ˜์˜ ์ž๋ฌธ๊ณผ ๋‚ด์šฉํƒ€๋‹น๋„ ๊ฒ€์ฆ์„ ํ†ตํ•ด ๊ฐœ๋ฐœ๋œ ์•” ํ™˜์ž ์ผ€์–ด ์ฝ”๋””๋„ค์ดํ„ฐ์˜ ์ง๋ฌด๊ธฐ์ˆ ์„œ๋Š” ์ง๋ฌด๋ช…, ์ง๋ฌด๊ฐœ์š”, ์ง๋ฌด๋‚ด์šฉ์œผ๋กœ ์ด๋ฃจ์–ด์กŒ์œผ๋ฉฐ, ์ง๋ฌด๋‚ด์šฉ์€ 6๊ฐœ ๋Œ€๋ถ„๋ฅ˜, 14๊ฐœ์˜ ์ค‘๋ถ„๋ฅ˜, 140๊ฐœ์˜ ์„ธ๋ถ€์ง๋ฌด๋กœ ๊ตฌ์„ฑ๋˜์—ˆ๋‹ค. ๊ฐœ๋ฐœ๋œ ๋Œ€๋ถ„๋ฅ˜๋Š” '์ „๋ฌธ๊ฐ€์  ๊ฐ„ํ˜ธ์‹ค๋ฌด', '์ž๋ฌธ ๋ฐ ์ƒ๋‹ด', '์กฐ์ • ๋ฐ ํ˜‘๋ ฅ', '๊ต์œก', '์—ฐ๊ตฌ', '๋ฆฌ๋”์‹ญ' ๋“ฑ์ด๋ฉฐ, ์ค‘๋ถ„๋ฅ˜๋Š” '์ „๋ฌธ๊ฐ€์  ๊ฐ„ํ˜ธ์‹ค๋ฌด'๋Š” ์‹ ํ™˜๊ด€๋ฆฌ, ์น˜๋ฃŒ์š”๋ฒ• ๊ด€๋ฆฌ, ์ถ”ํ›„๊ด€๋ฆฌ, '์ž๋ฌธ ๋ฐ ์ƒ๋‹ด'์€ ์ž๋ฌธ, ์ƒ๋‹ด, '์กฐ์ • ๋ฐ ํ˜‘๋ ฅ'์€ ์„œ๋น„์Šค ์กฐ์ • ๋ฐ ์—ฐ๊ณ„, ํ˜‘๋ ฅ, '๊ต์œก'์€ ์•” ํ™˜์ž ๋ฐ ๊ฐ€์กฑ ๊ต์œก, ์ง์› ๋ฐ ํ•™์ƒ ๊ต์œก, ๊ต์œก ํ”„๋กœ๊ทธ๋žจ๊ฐœ๋ฐœ, '์—ฐ๊ตฌ'๋Š” ์—ฐ๊ตฌํ™œ๋™, ์งˆ ๊ด€๋ฆฌ, '๋ฆฌ๋”์‹ญ'์€ ๋ณ€ํ™”์ด‰์ง„, ์šด์˜๊ด€๋ฆฌ ๋“ฑ์ด๋ฉฐ, ๊ฐ๊ฐ์— ๋Œ€ํ•ด ์„ธ๋ถ€์ง๋ฌด๊ฐ€ ๊ธฐ์ˆ ๋˜์—ˆ๋‹ค.2. ๋ฌธํ—Œ๊ณ ์ฐฐ๊ณผ ํฌ์ปค์Šค ๊ทธ๋ฃน ํšŒ์˜ ๊ฒฐ๊ณผ ๊ฐœ๋ฐœ๋œ ์•” ํ™˜์ž ์ผ€์–ด ์ฝ”๋””๋„ค์ดํ„ฐ์˜ ์ง๋ฌด๋ช…์„ธ์„œ๋Š” ํ•™๋ ฅ, ๊ฒฝ๋ ฅ, ์ž๊ฒฉ, ์ „๋ฌธ์ง€์‹, ์ž์งˆ, ๋Šฅ๋ ฅ์œผ๋กœ ๊ตฌ์„ฑ๋˜์—ˆ์œผ๋ฉฐ, 'ํ•™๋ ฅ'์€ ์„์‚ฌ, '๊ฒฝ๋ ฅ'์€ ํ•ด๋‹น๋ถ„์•ผ 5๋…„ ์ด์ƒ, '์ž๊ฒฉ'์€ ๊ฐ„ํ˜ธ์‚ฌ ๋ฉดํ—ˆ, ์ „๋ฌธ์ง ๋‹จ์ฒด ํšŒ์›, '์ „๋ฌธ์ง€์‹'์€ ์•”์˜ ๋ณ‘ํƒœ์ƒ๋ฆฌ ๋ฐ ์•” ํ™˜์ž์˜ ์ฆ์ƒ๊ด€๋ฆฌ, ๋น„์šฉ๊ด€๋ฆฌ ๋“ฑ, '์ž์งˆ'์€ ์˜์‚ฌ์†Œํ†ต ๊ธฐ์ˆ , ์ƒ๋‹ด๊ธฐ์ˆ , ์ž„์ƒ์  ํŒ๋‹จ๋Šฅ๋ ฅ ๋“ฑ, '๋Šฅ๋ ฅ'์€ ์ค‘๋“ฑ๋„์˜ ์˜์–ด, ํ†ต๊ณ„, ์ „์‚ฐ, ์—ฐ๊ตฌ๋Šฅ๋ ฅ, ๋Œ€์ƒ์ž ๋งž์ถค ๊ต์œก ๋Šฅ๋ ฅ ๋“ฑ์œผ๋กœ ์ œ์‹œ๋˜์—ˆ๋‹ค.3. ํฌ์ปค์Šค ๊ทธ๋ฃน ํšŒ์˜, ํ˜„์žฅ์กฐ์‚ฌ, ๊ฐ„ํ˜ธ๋Œ€ํ•™ ๊ต์ˆ˜์˜ ์ž๋ฌธ ๋“ฑ์œผ๋กœ ๊ฐœ๋ฐœ๋œ ์•” ํ™˜์ž ์ผ€์–ด ์ฝ”๋””๋„ค์ดํ„ฐ์˜ ์ง๋ฌด ํ”„๋กœ์„ธ์Šค ๋งต์€ ์ˆ˜ํ‰์ ์ธ ์‹œ๊ธฐ๋ณ„ ๊ณผ์ •์ธ '์™ธ๋ž˜', '์ž…์›', 'ํ‡ด์›', '์žฌ๊ฐ€๊ด€๋ฆฌ', '์™ธ๋ž˜ ๋ฐ ๋ณด์กฐ์š”๋ฒ•'์œผ๋กœ, ์ˆ˜์ง์  ์ง๋ฌด๋‹จ์œ„๋Š” '์•” ํ™˜์ž ์ผ€์–ด ์ฝ”๋””๋„ค์ดํ„ฐ', '์ง„๋ฃŒ์ง€์›๋ถ€์„œ', '๋‹คํ•™์ œ๊ฐ„ ํŒ€ ๋ฏธํŒ…'์œผ๋กœ ์ด๋ฃจ์–ด์ ธ ์žˆ์œผ๋ฉฐ, ๊ฐ ์‹œ๊ธฐ๋ณ„ ๊ณผ์ • ๋งˆ๋‹ค ์‚ฐ์ถœ๋ฌผ์ด ์ œ์‹œ๋˜์—ˆ๋‹ค.๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ๊ฐœ๋ฐœ๋œ ์•” ํ™˜์ž ์ผ€์–ด ์ฝ”๋””๋„ค์ดํ„ฐ์˜ ์ง๋ฌด๊ธฐ์ˆ ์„œ, ์ง๋ฌด๋ช…์„ธ์„œ, ์ง๋ฌด ํ”„๋กœ์„ธ์Šค ๋งต์€ ํ–ฅํ›„ ์•” ํ™˜์ž ์ผ€์–ด ์ฝ”๋””๋„ค์ดํ„ฐ์˜ ์—ญํ•  ๊ทœ๋ช… ๋ฐ ํ™•๋Œ€์— ๊ธฐ์—ฌํ•  ๊ฒƒ์œผ๋กœ ์—ฌ๊ฒจ์ง€๋ฉฐ, ๊ฐœ๋ฐœ๋œ ์ง๋ฌด ํ”„๋กœ์„ธ์Šค ๋งต์„ ๋ณ€ํ™”๋œ ์ƒํ™ฉ์— ๋งž๊ฒŒ ์ˆ˜์ •ํ•˜์—ฌ ์ž„์ƒ์‹ค๋ฌด์— ์ ์šฉํ•  ๊ฒƒ์„ ์ œ์–ธํ•œ๋‹ค [์˜๋ฌธ] The main purpose of this study was to develop cancer care coordinator''s job description, job specification and job process map by using dynamic job analysis. The development process consisted of three stages of vertical job analysis and three stages of horizontal job analysis by modifying Song(1997)''s dynamic job analysis. Focus group was used to validate the content of the job analysis. Nine cancer care coordinators from stomach, liver, colon, thyroid, gynecology, breast, brain, urology and lung cancer clinic in a hospital participated to the focus group discussion.The results of this study are summarized as follow.1. Cancer care coordinator''s job description was developed from literature review, a field survey, focus group discussion and content validity testing. Job description was categorized into three groups: six major categories, fourteen middle categories and one hundred forty specific jobs. First, ''Professional nursing practice'' was composed of new patients management, treatment therapy management and follow up care. Second, ''Consultation and Counsel'' was composed of consultation and counselling. Third, ''Coordination and Collaboration'' was composed of service coordination&#8228;referral and collaboration. Fourth, ''Education'' was composed of cancer patient and family education, staff and student education and education program development. Fifth, ''Research'' was composed of research and Quality improvement. Finally, ''Leadership'' was composed of change agent and administration.2. Cancer care coordinator''s job specification included education level, career, qualification, professional knowledge, competency and ability. It might be summarized as master''s degree with over five years of clinical experience preferably relevant part, professional knowledge on pathophysiology of cancer, case management and cost control, competency for communication and counselling skills and clinical decision making.3. Cancer care coordinator''s job process map was framed with time(horizontal) and activities(vertical). Time was categorized as ''outpatient'', ''admission'', ''discharge'', ''home care'' and ''outpatient and supplementary therapy''. And activities was categorized as ''cancer care coordinator'', ''supportive department'' and ''multidisciplinary team meeting''.In conclusion, this study outcomes will be effective for cancer care coordinators to identify their roles and to develop of their capabilities. And this study suggests that the job process map would be applied to clinical setting after revision suitable to change.ope

    A Collision-Resolving Scheme with Dynamic Bandwidth Channel Access for In-band Full-duplex Wireless LAN

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    Master์ตœ๊ทผ ๋ฌด์„  ์žฅ์น˜์˜ ์ˆ˜๊ฐ€ ๊ธ‰๊ฒฉํ•˜๊ฒŒ ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ๋ฌด์„ ๋žœ ํŠธ๋ž˜ํ”ฝ ๋˜ํ•œ ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ๋‹ค. ๋˜ํ•œ ๋Œ€์šฉ๋Ÿ‰ ๋ฐ์ดํ„ฐ์˜ ์ „์†ก, ์ดˆ๊ณ ์†ํ™”์งˆ ์ŠคํŠธ๋ฆฌ๋ฐ ์„œ๋น„์Šค ๋“ฑ์˜ ํŠธ๋ž˜ํ”ฝ ๋น„์ค‘์ด ๋†’์•„์ง์— ๋”ฐ๋ผ ๋” ๋†’์€ ๋ฌด์„ ๋žœ ์ฒ˜๋ฆฌ๋Ÿ‰์ด ์š”๊ตฌ๋˜๋Š” ์ƒํ™ฉ์ด๋‹ค. ์ด๋Ÿฌํ•œ ๋ฌด์„ ๋žœ ์ฒ˜๋ฆฌ๋Ÿ‰ ์ˆ˜์š”๋ฅผ ์ถฉ์กฑ์‹œํ‚ค๊ธฐ ์œ„ํ•œ ์ฐจ์„ธ๋Œ€ ๊ธฐ์ˆ  ์ค‘ ํ•˜๋‚˜๋กœ ๋Œ€์—ญ ๋‚ด ์ „์ด์ค‘ ํ†ต์‹ (In-band full duplex communication)์ด ๋– ์˜ค๋ฅด๊ณ  ์žˆ๋‹ค. ๊ธฐ์กด์˜ ๋ฌด์„  ํ†ต์‹  ๋ฐฉ์‹์€ ๋ฐ˜์ด์ค‘ ํ†ต์‹ (Half-duplex communication)์œผ๋กœ ๋™์ž‘ํ•œ๋‹ค. ์ด๋Š” ๋ฌด์„  ์ฑ„๋„์—์„œ๋Š” ๋…ธ๋“œ(Node)์˜ ์†ก์‹  ์‹ ํ˜ธ๊ฐ€ ์ž์‹ ์ด ์ˆ˜์‹ ํ•˜๋Š” ์‹ ํ˜ธ์— ๊ฐ„์„ญ์„ ์ผ์œผํ‚ค๋Š” ์ž๊ธฐ ๊ฐ„์„ญ์ด ๋ฐœ์ƒํ•˜๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ตœ๊ทผ ์ž๊ธฐ ๊ฐ„์„ญ ์ œ๊ฑฐ ๊ธฐ์ˆ ์˜ ๋ฐœ์ „์œผ๋กœ ์ธํ•ด ํ•˜๋‚˜์˜ ์ฑ„๋„์—์„œ ๋™์‹œ์— ์†ก/์ˆ˜์‹ ์ด ๊ฐ€๋Šฅํ•œ ๋Œ€์—ญ ๋‚ด ์ „์ด์ค‘ ํ†ต์‹ ์ด ๊ฐ€๋Šฅํ•˜๊ฒŒ ๋˜์—ˆ๋‹ค. ์ „์ด์ค‘ ํ†ต์‹ ์€ ์ด๋ก ์ ์œผ๋กœ ๋ฐ˜์ด์ค‘ ํ†ต์‹ ์— ๋น„ํ•ด ์ฒ˜๋ฆฌ๋Ÿ‰์„ ์ตœ๋Œ€ ๋‘ ๋ฐฐ๊นŒ์ง€ ๋‹ฌ์„ฑํ•  ์ˆ˜ ์žˆ๋‹ค. ๋˜ํ•œ ์ž๊ธฐ ๊ฐ„์„ญ ๊ธฐ์ˆ ์„ ํ†ตํ•ด ๋„คํŠธ์›Œํฌ ์ถฉ๋Œ์„ ๊ฐ์ง€ํ•  ์ˆ˜ ์žˆ๋‹ค. ์ „์ด์ค‘ ํ†ต์‹ ์€ ๋…ธ๋“œ์˜ ์ˆ˜์‹ ๋ถ€์—์„œ ์ž์‹ ์˜ ์†ก์‹  ์‹ ํ˜ธ๊ฐ€ ์ œ๊ฑฐ๋˜๋ฏ€๋กœ ์†ก์‹ ์„ ํ•˜๋Š” ๋™์•ˆ์—๋„ ์‹ค์‹œ๊ฐ„์œผ๋กœ ์ฑ„๋„ ๊ฐ์ง€๊ฐ€ ๊ฐ€๋Šฅํ•˜๋‹ค. ๋”ฐ๋ผ์„œ ์†ก์‹  ํ•˜๋Š” ๋„์ค‘์— ๋‹ค๋ฅธ ์‹ ํ˜ธ๊ฐ€ ๊ฐ์ง€๋˜๋ฉด ํ˜„์žฌ ์†ก์‹ ํ•˜๋Š” ํ”„๋ ˆ์ž„(frame)์ด ๋„คํŠธ์›Œํฌ ์ถฉ๋Œ์ด ๋ฐœ์ƒํ•œ๋‹ค๊ณ  ํŒ๋‹จํ•  ์ˆ˜ ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ฌผ๋ฆฌ๊ณ„์ธต์—์„œ์˜ ์ „์ด์ค‘ ํ†ต์‹ ์˜ ์žฅ์ ์„ ์ตœ๋Œ€ํ•œ ํ™œ์šฉํ•˜๊ธฐ ์œ„ํ•ด์„œ ์ด์— ์ ์ ˆํ•œ ๋งค์ฒด ์•ก์„ธ์Šค ์ œ์–ด(MAC) ํ”„๋กœํ† ์ฝœ์ด ํ•„์š”ํ•˜๋‹ค. ํ˜„์žฌ IEEE 802.11 ํ‘œ์ค€๊ณผ ์ด์™€ ๊ด€๋ จ๋œ ๋ฌด์„ ๋žœ MAC ํ”„๋กœํ† ์ฝœ์€ ๋ฐ˜์ด์ค‘ ํ†ต์‹  ๊ธฐ๋ฐ˜์˜ MAC ํ”„๋กœํ† ์ฝœ์ด๋ฏ€๋กœ ์ „์ด์ค‘ ํ†ต์‹ ์„ ์ตœ๋Œ€ํ•œ ํ™œ์šฉํ•˜๊ธฐ ์œ„ํ•œ ์ „์ด์ค‘ MAC ํ”„๋กœํ† ์ฝœ์ด ํ•„์š”ํ•˜๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” IEEE 802.11ac์—์„œ ๋„์ž…๋œ ์ฑ„๋„ ํ™•์žฅ ๊ธฐ๋ฒ•์ธ DBO(Dynamic bandwidth operation)์„ ํ™œ์šฉํ•˜์—ฌ ์ „์ด์ค‘ ํ†ต์‹ ์—์„œ ์ถฉ๋Œ์„ ํ•ด๊ฒฐํ•˜๋Š” MAC ํ”„๋กœํ† ์ฝœ์„ ์ œ์•ˆํ•œ๋‹ค. ์ œ์•ˆํ•˜๋Š” ํ”„๋กœํ† ์ฝœ์€ CSMA/CA๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ๋™์ž‘ํ•˜๋ฉฐ, ์ „์ด์ค‘ ํ†ต์‹ ์˜ ์ฑ„๋„ ๊ฐ์ง€ ๋Šฅ๋ ฅ์„ ํ™œ์šฉํ•ด ์ถฉ๋Œ์„ ์‹ค์‹œ๊ฐ„์œผ๋กœ ๊ฐ์ง€ํ•˜๊ณ  ์ถฉ๋Œ์„ ํ•ด๊ฒฐํ•˜์—ฌ ์ฒ˜๋ฆฌ๋Ÿ‰์„ ํ–ฅ์ƒ์‹œํ‚จ๋‹ค. ๋˜ํ•œ ๊ด‘๋Œ€์—ญ ์ฑ„๋„์„ ํ™œ์šฉํ•˜์—ฌ ์ถฉ๋Œ์ด ๋ฐœ์ƒํ•œ ๋…ธ๋“œ๋“ค์ด ๋™์‹œ์— ์ „์†ก ๊ธฐํšŒ๋ฅผ ๊ฐ€์งˆ ์ˆ˜ ์žˆ๊ฒŒ ํ•œ๋‹ค. ๋”ฐ๋ผ์„œ ๊ณ ๋ฐ€๋„ ๋„คํŠธ์›Œํฌ ํ™˜๊ฒฝ์—์„œ๋„ ๋†’์€ ์ฒ˜๋ฆฌ๋Ÿ‰์„ ์ง€์›ํ•  ์ˆ˜ ์žˆ๋‹ค. ๋งˆ๋ฅด์ฝ”ํ”„ ์ฒด์ธ ๋ชจ๋ธ์„ ์ด์šฉํ•ด ์ œ์•ˆํ•˜๋Š” MAC ํ”„๋กœํ† ์ฝœ์˜ ์„ฑ๋Šฅ์„ ๋ถ„์„ํ•˜๊ณ , ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ์ด๋ฅผ ๊ฒ€์ฆํ•˜์—ฌ ๊ธฐ์กด ์ „์ด์ค‘ ํ†ต์‹  MAC ํ”„๋กœํ† ์ฝœ ๋Œ€๋น„ ํ–ฅ์ƒ๋œ ์ฒ˜๋ฆฌ๋Ÿ‰์„ ๋ณด์ž„์„ ํ™•์ธํ•˜์˜€๋‹ค.Recently, as wireless devices have become popular and wireless traffic such as high-definition media streaming has soared, a higher throughput is required in wireless local area networks (WLANs). Full-duplex communication is emerging as one of the next-generation wireless technologies to meet the demand for WLAN throughput. In this thesis, we propose a novel medium access control scheme called CORE that resolves collision between two nodes using the self-interference cancellation techniques of full-duplex communication and the dynamic bandwidth operation of the 802.11 standard. The CORE gains higher throughput of WLAN because the collision nodes can perform full-duplex communication through extended channel bandwidth. We analyze the performance of the CORE through an analytical model and simulation. The simulation results represent that throughput of CORE better than the existing medium access control schemes
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