175 research outputs found

    A Moderating effects of Consumer Mood state

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ์‚ฌ๋ฒ”๋Œ€ํ•™ ์ฒด์œก๊ต์œก๊ณผ,๊ธ€๋กœ๋ฒŒ์Šคํฌ์ธ ๋งค๋‹ˆ์ง€๋จผํŠธ์ „๊ณต, 2021.8. ์ž„์ถฉํ›ˆ.The superstition permeates not only to traditional societies, but also to the modern societies. Spectator sport games are always full of uncertainties. The sport gamesโ€™ dramatic characteristics, and unscripted results are the hallmark of the spectator sport fans' experiences, and it is the main driver for the popularity of the televised sports. Superstitions related studies are usually within an Athletesโ€™. The superstition of sport fans and spectators got attention from the sport scholars. According to previous researches. limited to the Sport context, the role of the Sport Fan Superstition as the mediator and consumer mood as the moderator to the Purchase Intention from the sports fans drives the researcher to examine to till what extent, they are effective, and can be used as the marketing tool. The current study attempted to provide a mechanism behind the sport fan superstition with a fansโ€™ characteristics. This dissertationโ€™s purpose is to identify and investigate the mediating role of Sport Fan Superstition and moderating role of mood state of consumer to Purchase Intention. To test the constructed hypothesis, questionnaires were constructed base on the previous research. Data respondents were within a Korean residents and age restricted from 10 to 59. The collected data were executed through the IBM SPSS 26.0 and AMOS statistic program. Before conducting the verification of constructed hypothesis, Descriptive analysis, Validity, Reliability test were done. After that, hypothesis testing through Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) were carried. The result stated that the Superstition mediates the relationship between the Team Involvement, Sport Fandom, and External Locus of Control with Purchase Intention. Dysfunctional Fans concluded by not effected by the superstitions as this might due to the direct relationship between brand blame with Purchase Intention. But reversely, when Consumer Mood work as the moderator to the Superstition mediator, the only Dysfunctional Fans were affected. As previous research result ever discovered the positive relationship between mood and purchase intention, dysfunctional thoughts within a sport fans minds could be affected. This research will have implication to the Sports industries, teams, and any other related businesses. The result will provide a key for abilities to capitalize through the understanding Sports Fan Superstition. As there are scant amounts of researches related with the Superstition and Purchase Intention, this research will add literature, and could also contribute to the brand community. The study results are expected to provide the literatures towards the sport management by identifying the effect of Fan Superstitions and mood.๋ณธ ์—ฐ๊ตฌ์˜ ํ•ต์‹ฌ ๋ชฉํ‘œ๋Š” ์Šคํฌ์ธ  ํŒฌ์˜ ๋ฏธ์‹ ๊ณผ ๊ฐ์ •์„ ์ƒˆ๋กœ์šด ๊ฐ๋„์—์„œ ๋ฐ”๋ผ๋ด„์œผ๋กœ์จ ์Šคํฌ์ธ  ํŒฌ์— ๋Œ€ํ•œ ์ดํ•ด๋ฅผ ํ™•์žฅํ•˜๋Š”๋ฐ ์žˆ๋‹ค. ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ์Šคํฌ์ธ  ํŒฌ๋“ค์ด ์ง€๋‹Œ ๋ฏธ์‹ ์ด ๊ฐœ์ธ์˜ ํŠน์„ฑ๊ณผ ๊ตฌ๋งค ์˜๋„๋ฅผ ์–ผ๋งˆ๋‚˜ ๋งค๊ฐœํ•˜๋Š”์ง€๋ฅผ ๋ถ„์„ํ•˜๊ณ , ๋‘˜์งธ, ๊ทธ ๊ณผ์ •์—์„œ ๊ธฐ๋ถ„์˜ ์ƒํƒœ๊ฐ€ ์กฐ์ ˆ ํšจ๊ณผ๋ฅผ ๋„๋Š”์ง€ ์‚ดํŽด๋ณด๋Š” ๊ฒƒ์ด๋‹ค. ์Šคํฌ์ธ  ๊ฒฝ๊ธฐ์˜ ํŠน์ง•์€ ๋ถˆํ™•์‹ค์„ฑ์ด๋‹ค. ๊ทน์ ์ธ ์ƒํ™ฉ๊ณผ ์•Œ ์ˆ˜ ์—†๋Š” ๊ฒฐ๊ณผ๋Š” ์Šคํฌ์ธ  ํŒฌ๋“ค์ด ๊ฒฝํ—˜ํ•  ์ˆ˜ ์žˆ๋Š” ํฐ ํŠน์ง•์ด๋ฉฐ ์Šคํฌ์ธ ์˜ ์ธ๊ธฐ์˜ ์ฃผ์š” ์š”์ธ์ด๋‹ค. ์Šคํฌ์ธ  ๋ฏธ์‹ ๊ณผ ๊ด€๋ จ๋œ ์—ฐ๊ตฌ๋Š” ์ฃผ๋กœ ์„ ์ˆ˜๋“ค์„ ๊ด€๋ จํ•ด์„œ ์ง„ํ–‰๋˜์–ด ์™”๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์—ฐ๊ตฌ ๋Œ€์ƒ์„ ์Šคํฌ์ธ  ํŒฌ์œผ๋กœ ํ•œ์ • ์ง€์–ด์„œ ๊ทธ๋“ค์ด ์ง€๋‹Œ ์„ฑํ–ฅ๊ณผ ๊ตฌ๋งค ์˜๋„์˜ ๊ด€๊ณ„๊ฐ€ ๋ฏธ์‹ ๊ณผ ํ˜„์žฌ ๊ธฐ๋ถ„ ์ƒํƒœ์— ๋”ฐ๋ผ์„œ ์˜ํ–ฅ์„ ๋ฐ›๋Š”์ง€ ์•Œ์•„๋ณด๊ณ ์ž ํ•œ๋‹ค. ์—ฐ๊ตฌ ๋ชฉ์ ์„ ํšจ๊ณผ์ ์œผ๋กœ ๋‹ฌ์„ฑํ•˜๊ธฐ ์œ„ํ•ด์„œ ๋ณธ ์—ฐ๊ตฌ๋Š” ํฌ๊ฒŒ 4๊ฐ€์ง€์˜ ๊ฐ€์„ค์„ ์ˆ˜๋ฆฝํ•˜์˜€๋‹ค. ๊ตฌ์„ฑ๋œ ๊ฐ€์„ค์„ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•ด ์„ ํ–‰ ์—ฐ๊ตฌ๋“ค์„ ๋ฐ”ํƒ•์œผ๋กœ ์„ค๋ฌธ์ง€๋ฅผ ๊ตฌ์„ฑ ๋ฐ ๋ฐฐํฌํ•˜์˜€๋‹ค. ์‘๋‹ต์ž๋Š” ๋Œ€ํ•œ๋ฏผ๊ตญ์— ๊ฑฐ์ฃผํ•˜๋Š” 10-59์„ธ์˜ ์Šคํฌ์ธ  ํŒฌ๋“ค๋กœ ์ œํ•œํ•˜์˜€์œผ๋ฉฐ. ์ˆ˜์ง‘๋œ ๋ฐ์ดํ„ฐ๋Š” IBM SPSS 26.0 ์™€ AMOS ํ†ต๊ณ„ ํ”„๋กœ๊ทธ๋žจ์„ ํ†ตํ•ด์„œ ๋ถ„์„ํ•˜์˜€๋‹ค. ๊ฐ€์„ค ๊ฒ€์ฆ์„ ์ˆ˜ํ–‰ํ•˜๊ธฐ ์•ž์„œ ๊ธฐ์ˆ  ํ†ต๊ณ„ ๋ถ„์„, ํƒ€๋‹น๋„ ๊ฒ€์ •, ์‹ ๋ขฐ์„ฑ ๊ฒ€์ •์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ์ดํ›„, ํ™•์ธ์  ์š”์ธ ๋ถ„์„ (Confirmatory Factor Analysis, CFA)์™€ ๊ตฌ์กฐ ๋ฐฉ์ •์‹ (Structural Equation Modeling, SEM)์„ ํ†ตํ•ด์„œ ๊ฐ€์„ค ๊ฒ€์ฆ์„ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋กœ๋Š” ๋ฏธ์‹ ์€ ํŒ€ ๋™์ผ์‹œ, ์Šคํฌ์ธ  ํŒฌ๋ค, ๊ทธ๋ฆฌ๊ณ  ์™ธ๋ถ€์  ํ†ต์ œ ์œ„์น˜ (External Locus of Control)๊ณผ ๊ตฌ๋งค์˜๋„์˜ ๊ด€๊ณ„๋ฅผ ๋งค๊ฐœํ•œ๋‹ค๊ณ  ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์‚ฌํšŒ์  ์—ญ๊ธฐ๋Šฅ์„ ์ง€๋‹Œ ์Šคํฌ์ธ  ํŒฌ๋“ค์€ ๋ฏธ์‹ ์— ๋งค๊ฐœ๋˜์ง€ ์•Š๋Š”๋‹ค๋Š” ๊ฒฐ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚ฌ๋Š”๋ฐ, ์—ญ๊ธฐ๋Šฅ์€ ๊ฐœ์ธ์ด ํ‘œ์ถœํ•˜๋Š” ๋ธŒ๋žœ๋“œ ๋น„๋‚œ๊ณผ ๊ตฌ๋งค์˜๋„ ์‚ฌ์ด ๊ด€๊ณ„์— ์ง์ ‘์ ์ธ ์˜ํ–ฅ์„ ์ค€๋‹ค๋Š” ์„ ํ–‰ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ์™€ ์ผ์น˜ํ•œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋ฐ˜๋Œ€๋กœ ์†Œ๋น„์ž์˜ ๊ธฐ๋ถ„์ด ์กฐ์ ˆํšจ๊ณผ๋กœ ๋“ค์–ด๊ฐˆ ๊ฒฝ์šฐ, ์œ ์ผํ•˜๊ฒŒ ์‚ฌํšŒ์  ์—ญ๊ธฐ๋Šฅ์„ ๊ฐ€์ง„ ํŒฌ๋“ค๋งŒ ๊ตฌ๋งค์˜๋„์— ๊ธ์ •์ ์ธ ๋ฐ˜์‘์„ ๋ณด์˜€๋‹ค. ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด์„œ ์Šคํฌ์ธ  ํŒฌ๋“ค์ด ์ง€๋‹Œ ๋ฏธ์‹ ์˜ ์˜ํ–ฅ์„ ๋ถ€๋ถ„์ ์œผ๋กœ ํ™•์ธํ•˜์˜€๋‹ค. ์—ฌ์ „ํžˆ ์Šคํฌ์ธ ๋Š” ์‚ฌํšŒ์˜ ๊ณตํ†ต ์–ธ์–ด๋กœ ์ž‘๋™ํ•˜๋Š” ๋งŒํผ, ์†Œ๋น„์ž์˜ ๊ธฐ๋ถ„์„ ์กฐ์ ˆํ•จ๊ณผ ๋™์‹œ์— ๋ฏธ์‹ ์„ ์ƒํ’ˆํ™” ์‹œํ‚จ๋‹ค๋ฉด ์Šคํฌ์ธ  ํŒ€์ด๋‚˜ ๊ด€๋ จ ์‹œ์žฅ๋“ค์€ ๋ณด๋‹ค ๋” ๋‹ค์–‘ํ•œ ์ˆ˜์ต ์ฐฝ์ถœ ๊ธฐํšŒ๋ฅผ ๊ฐ€์งˆ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค.Chapter 1. Introduction ๏ผ‘ 1.1. Background ๏ผ‘ 1.2. Research Problem ๏ผ• 1.3 Research Question ๏ผ— 1.4 Research Objective ๏ผ— 1.5 Significance of Research ๏ผ˜ Chapter 2. Literature Review ๏ผ™ 2.1. Superstition ๏ผ™ 2.2. Team Identification 15 2.3. Fandom 17 2.4. Mood 19 2.5. Dysfunction 22 2.6. Locus of Control 24 2.7. Purchase Intention 25 2.8. Hypothesis 28 Chapter 3. Methodology 31 3.1. Procedure 31 3.2. Materials 33 Chapter 4. Result 43 4.1. Pretest 43 4.2. Descriptive Analysis 45 4.3. Reliability Analysis 49 4.4. Confirmatory Factor Analysis 50 4.5. Structural Equation Modeling 55 4.6. Moderated Mediation Test 59 Chapter 5. Discussion 61 5.1. Findings 61 5.2. Implications 62 5.3. Conclusion 65 5.4. Limitation and Future Research Directions 66 Bibliography 69 Appendix 84 Abstract in Korean 92 List of Tables . Table 1. Measurement for Sport Fan Superstition 34 Table 2. Measurement for Team Identification 35 Table 3. Measurement for Sport Fandom 37 Table 4. Measurement for Dysfunction 38 Table 5. Measurement for External Locus of Control 39 Table 6. Measurement for Mood 40 Table 7. Measurement for Purchase Intention 41 Table 8. Reliability Test Result (Pretest) 44 Table 8. Validity Test Result (Pretest) 44 Table 10. Demographics of survey samples 45 Table 11. Summary of Key Variables 47 Table 12. Cronbach's Alpha Reliability Test 50 Table 13. Factor Loading for Confirmatory Factor Analysis 52 Table 14. Fit indices for Confirmatory Factor Analysis 53 Table 15. Correlation Matrices 53 Table 16. AVE and CR score 54 Table 17. Fit indices for Structural Equation Model 57 Table 18. Significant test result for conceptual model: Direct effect 57 Table 19. Significant test result for conceptual model: Indirect effect 58 Table 20. Test result for Moderated Mediation Effect 60 List of Figure . Figure 1. Conceptual Model 28 Figure 2. Result of a Confirmatory Factor Analysis 51 Figure 3. Causal Relationship and a path of a research model 55 Figure 4. Standardization path coefficient of the research model 56์„

    Temperature Control of a CSTR Using a Nonlinear PID Controller

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    Continuous stirred tank reactor (CSTR) which plays a key role in the chemical plants exhibits highly nonlinear behavior as well as time-varying characteristics during operation. So, CSTR process control over the whole operating range has been a challenging issue especially for control engineers. A variety of feedback control algorithms and their tuning methods have been developed to guarantee the satisfactory performance despite the varied dynamic characteristics of CSTRs. This thesis presents a scheme of designing a nonlinear PID controller incorporating with a real-coded genetic algorithm (RCGA) for the temperature control of a CSTR process. The gains of the NPID controller are composed of easily implementable nonlinear functions based on the error and/or the error rate and its parameters are tuned using the RCGA by minimizing the integral of time-weighted absolute error (ITAE). A set of simulation works for reference tracking and disturbance rejecting performances and robustness to parameter changes are carried out to compare with two other nonlinear controllers and show the feasibility of the proposed method.Abstract List of Tables List of Figures Chapter 1. Introduction Chapter 2. Continuos Stirred Tank Reactor Chapter 3. Existing Controllers Chapter 4. Proposed NPID Controller Chapter 5. Simulation and Review Chapter 6. Conclusion Reference

    ํ•™๋ น๊ธฐ ์•„๋™์˜ ๋ถ€๋ชจ์ž๋…€๊ด€๊ณ„๊ฐ€ ๊ธ์ •์  ๋˜๋ž˜๊ด€๊ณ„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์—์„œ ๊ณต๊ฐ๊ณผ ์ดํƒ€์‹ฌ์˜ ๋งค๊ฐœ ์—ญํ• 

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์‚ฌํšŒ๋ณต์ง€ํ•™๊ณผ, 2016. 2. ์œ ์กฐ์•ˆ.The purpose of this study is to develop a theoretical model for prosocial parent-to-peer pathways and test its validity using nationally representative data of school-aged children in South Korea. To be specific, this study aims to examine (1) the effect of parent-child relationships on positive peer relationships and (2) the mediating effects of childrens empathy and altruism on the association between parent-child relationships and positive peer relationships. Positive peer relationships, i.e. peer acceptance and friendships, are one of the essential antecedents of school-aged childrens well-being and well-becoming. In line with attachment theory, a substantial body of literature has found that the quality of parent-child relationships is an important predictor of peer acceptance and friendship quality. Yet, a relatively few studies have examined the psychological mechanisms underlying the influence of parent-child relationships on positive peer relationships. Particularly in Korea, little research has been conducted on this positive parent-to-peer pathways, since a focus of childhood research was mainly on negative peer relationships such as peer rejection or bullying. According to previous research findings, a good quality of relationships with parents is likely to foster childrens prosocial orientation such as empathy and altruism, which in turn promotes positive relationships with peers. The present study develops a research model where the effect of parent-child relationship quality on positive peer relationships can be either direct or indirect via empathy and altruism. The main research hypotheses involve: (1) the quality of parent-child relationships will have a positive effect on positive peer relationships, i.e. peer acceptance and friendship quality, and (2) childrens empathy and altruism will mediate the effect of parent-child relationship quality on positive peer relationships. To empirically test the research model and hypotheses, structural equation modeling was performed to analyze the nationally representative data from the 2013 South Korean subsample of the International Survey of Childrens Well-Being. The sample consisted of 4,690 children in 3rd and 5th grade, who are living with at least one parent. All of the major variables were measured using multi-item, self-report indicators. The analytic results indicate that the research model fits the sample data well and explains 29.3% of variance in peer acceptance and 64.6% in friendship quality. All the research hypotheses are supported: (1) the quality of parent-child relationships does have a positive effect on peer acceptance and friendship quality, and (2) childrens empathy and altruism partially mediate the effect of parent-child relationship quality on positive peer relationships. Despite several limitations due to secondary data analysis, this study has a significance in that it develops a theoretical model for prosocial parent-to-peer pathways and empirically examine its validity with nationally representative data of school-aged children. This study calls for more research on Korean childrens positive social relationships and the underlying mechanisms of their prosocial development.CHAPTER I - INTRODUCTION 1 1. Introduction 1 2. Problem Statement 4 3. Purpose of the Study 9 4. Research Question 10 5. Chapter Outline 10 CHAPTER II - LITERATURE REVIEW 12 1. Introduction 12 2. Positive Peer Relationships in School-aged Children 12 2.1 Development and domains 13 2.2 Consequences and importance 15 2.3 Proximal and distal predictors 18 3. Influence of Parent-Child Relationship Quality 21 3.1 Direct and indirect influences 22 3.2 Attachment theory 24 3.3 Research evidence 26 4. Processes Underlying Parent-to-Peer Pathway 29 4.1 Internal working model and prosocial orientation 30 4.2 Roles of empathy and altruism 32 4.3 Prosocial parent-to-peer pathways 36 5. Influence of Individual and Familial Characteristics 41 5.1 Individual characteristics 42 5.2 Familial characteristics 45 6. Conclusion 48 CHAPTER III - RESEARCH MODEL 49 1. Introduction 49 2. Conceptual Model 49 3. Research Hypotheses 50 4. Conclusion 51 CHAPTER IV - METHODS 52 1. Introduction 52 2. Data and Sample 52 3. Measurement 54 3.1 Dependent variables 55 3.2 Independent variable 56 3.3 Mediating variables 57 3.4 Control variables 58 4. Analysis Techniques 61 5. Conclusion 65 CHAPTER V - RESULTS 66 1. Introduction 66 2. Descriptive Statistics 66 2.1 Individual and familial characteristics 66 2.2 Distributions of major variables 68 2.3 Examination of normality assumption 69 3. Analysis of Measurement Model 70 3.1 Overall measurement model fit 71 3.2 Construct validity 73 4. Analysis of Structural Model 75 4.1 Overall structural model fit 76 4.2 Parameter estimation 78 4.3 Decomposition of effects 82 5. Conclusion 84 CHAPTER VI - CONCLUSION 85 1. Introduction 85 2. Findings 85 3. Theoretical Implications 94 4. Practical Implications 96 5. Limitations and Suggestions 102 6. Conclusion 104 REFERENCES 105 APPENDIX 136 ๊ตญ๋ฌธ ์ดˆ๋ก 140Maste

    Transtheoretical model ๊ธฐ๋ฐ˜์˜ ๊ณ ์ง€ํ˜ˆ์ฆ ๊ด€๋ฆฌ ๋ชจ๋ฐ”์ผ ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜ ๊ฐœ๋ฐœ ๋ฐ ํ‰๊ฐ€

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› ๊ฐ„ํ˜ธ๋Œ€ํ•™ ๊ฐ„ํ˜ธํ•™๊ณผ, 2017. 8. ๋ฐ•ํ˜„์• .๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ transtheoretical model (TTM)์„ ๊ธฐ๋ฐ˜์œผ๋กœ ๊ณ ์ง€ํ˜ˆ์ฆ ํ™˜์ž์˜ ๊ฑด๊ฐ• ํ–‰์œ„(์‹์ด, ์šด๋™, ์ฒด์ค‘๊ด€๋ฆฌ, ๊ธˆ์—ฐ, ํˆฌ์•ฝ)์— ๋Œ€ํ•œ ๋™๊ธฐํ™” ์ •๋„์— ๋”ฐ๋ผ ๋งž์ถคํ˜• ์ค‘์žฌ๋ฅผ ์ œ๊ณตํ•˜๋Š” ๋ชจ๋ฐ”์ผ ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜์„ ๊ฐœ๋ฐœํ•˜๊ณ , ๊ฐœ๋ฐœ๋œ ๋ชจ๋ฐ”์ผ ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜ ์ ์šฉ ์ „ ํ›„ ๊ณ ์ง€ํ˜ˆ์ฆ ํ™˜์ž์˜ ๊ฑด๊ฐ• ํ–‰์œ„์— ๋Œ€ํ•œ ๋™๊ธฐํ™” ์ •๋„์™€ ์‹ค์ œ ๊ฑด๊ฐ• ํ–‰์œ„์˜ ๋ณ€ํ™”๋ฅผ ํ‰๊ฐ€ํ•˜๋Š”๋ฐ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ค‘์žฌ๋ฅผ ์ „๋‹ฌํ•˜๊ธฐ ์œ„ํ•œ ๊ณ ์ง€ํ˜ˆ์ฆ ๊ด€๋ฆฌ ๋ชจ๋ฐ”์ผ ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜ ๊ฐœ๋ฐœ๊ณผ, ๊ธฐ ๊ฐœ๋ฐœ๋œ ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜์„ ๊ณ ์ง€ํ˜ˆ์ฆ ํ™˜์ž์—๊ฒŒ ์ ์šฉํ•˜์—ฌ ํšจ๊ณผ๋ฅผ ํ‰๊ฐ€ํ•˜๋Š” ๊ณผ์ •์œผ๋กœ ์ด๋ฃจ์–ด์กŒ๋‹ค. ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜ ๊ฐœ๋ฐœ์€ ๊ณ ์ง€ํ˜ˆ์ฆ ํ™˜์ž์˜ ๊ฑด๊ฐ• ํ–‰์œ„ ๊ด€๋ฆฌ๋ฅผ ์œ„ํ•œ ๊ทผ๊ฑฐ๊ธฐ๋ฐ˜์˜ TTM ๊ธฐ๋ฐ˜ ๋งž์ถคํ˜• ์ค‘์žฌ๋ฅผ ์ œ๊ณตํ•˜๋Š” ์•ฑ ๊ฐœ๋ฐœ์„ ๊ธฐ๋ณธ ๋ฐฉํ–ฅ์œผ๋กœ ์„ค์ •ํ•˜๊ณ , ์‚ฌ์šฉ์ž ์š”๊ตฌ์‚ฌํ•ญ ๋ฐ ๋ฌธํ—Œ์„ ํ†ตํ•ด ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜์— ํฌํ•จ๋  ์ง€์‹ ๋ฐ ๊ธฐ๋Šฅ์„ ๋ถ„์„ํ•˜๊ณ , ๋ฐ์ดํ„ฐ ๋ชจ๋ธ, ํ”„๋กœ์„ธ์Šค ๋ชจ๋ธ, ๊ทธ๋ฆฌ๊ณ  ์‚ฌ์šฉ์ž ์ธํ„ฐํŽ˜์ด์Šค๋ฅผ ์„ค๊ณ„ํ•˜๊ณ , ์„ค๊ณ„ ๋‚ด์šฉ์„ ์•ˆ๋“œ๋กœ์ด๋“œ ํ”Œ๋žซํผ์—์„œ ๊ตฌํ˜„ํ•˜๊ณ , ๊ตฌํ˜„๋œ ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜์˜ ์‚ฌ์šฉ์„ฑ์„ ์ „๋ฌธ๊ฐ€ ๋ฐ ๊ณ ์ง€ํ˜ˆ์ฆ ํ™˜์ž๋ฅผ ํ†ตํ•ด ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜์˜ ํšจ๊ณผ ํ‰๊ฐ€๋Š” ๊ณ ์ง€ํ˜ˆ์ฆ ํ™˜์ž 64๋ช…์—๊ฒŒ ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜์„ 12์ฃผ๊ฐ„ ์‚ฌ์šฉํ•˜๊ฒŒ ํ•œ ํ›„, ์‚ฌ์šฉ ์ „๊ณผ ํ›„์˜ ๊ฑด๊ฐ•ํ–‰์œ„ ๋™๊ธฐํ™” ์ •๋„, ๊ฑด๊ฐ• ํ–‰์œ„์˜ ๋ณ€ํ™”๋ฅผ ๋‹จ์ผ๊ตฐ ์ „ ํ›„ ๋น„๊ต ์„ค๊ณ„๋กœ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ๊ฑด๊ฐ• ํ–‰์œ„ ๋ณ„๋กœ ์ค‘์žฌ ์ „ ํ›„ ๊ฑด๊ฐ• ํ–‰์œ„ ๋™๊ธฐํ™” ์ •๋„๊ฐ€ ์ƒ์Šนํ•œ ๊ทธ๋ฃน, ์œ ์ง€๋œ ๊ทธ๋ฃน, ํ•˜๊ฐ•ํ•œ ๊ทธ๋ฃน์œผ๋กœ ๋‚˜๋ˆˆ ํ›„ ๊ทธ๋ฃน๋ณ„ ์‹ค์ œ ๊ฑด๊ฐ• ํ–‰์œ„ ๋ณ€ํ™” ์ •๋„๊ฐ€ ์ฐจ์ด๊ฐ€ ์žˆ๋Š”์ง€ ๋ถ„์„ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ๊ฐœ๋ฐœํ•œ ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜์€ ๊ธฐ ๋ฐœํ‘œ๋œ ๊ณ ์ง€ํ˜ˆ์ฆ ๊ด€๋ฆฌ ๊ฐ€์ด๋“œ๋ผ์ธ ๋ฐ ๋ฌธํ—Œ์„ ๊ทผ๊ฑฐ๋กœ ์„ ์ •ํ•œ ์‹์ด, ์šด๋™, ์ฒด์ค‘๊ด€๋ฆฌ, ๊ธˆ์—ฐ ๋ฐ ํˆฌ์•ฝ์˜ ๊ฑด๊ฐ• ํ–‰์œ„ ๋ณ„๋กœ ํ™˜์ž๊ฐ€ ์ž…๋ ฅํ•œ TTM์˜ ๊ณ ๋ ค์ „/๊ณ ๋ ค/์ค€๋น„/ํ–‰๋™/์œ ์ง€ ๋‹ค์„ฏ ๋‹จ๊ณ„์˜ ๋™๊ธฐํ™” ์ •๋„์— ๋”ฐ๋ผ ํ™˜์ž์—๊ฒŒ ๊ทผ๊ฑฐ ๊ธฐ๋ฐ˜์˜ ๋งž์ถคํ˜• ์ •๋ณด๋ฅผ ์ผ์ฃผ์ผ ๋งˆ๋‹ค ์ œ๊ณตํ•ด์ค€๋‹ค. ์ „๋ฌธ๊ฐ€์™€ ํ™˜์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ํ•œ ์‚ฌ์šฉ์„ฑ ํ‰๊ฐ€ ๊ฒฐ๊ณผ, ํฅ๋ฏธ/๊ธฐ๋Šฅ/์‹ฌ๋ฏธ/์ •๋ณด/์ฃผ๊ด€์ /๊ฑด๊ฐ•ํ–‰์œ„์˜ 6๊ฐœ ํ•ญ๋ชฉ์—์„œ ๊ฐ๊ฐ 5์  ๋งŒ์ ์— 3.66~4.24์ , 3.61~4.26์ ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜์˜ ํšจ๊ณผ ํ‰๊ฐ€ ๊ฒฐ๊ณผ, ๊ฑด๊ฐ•ํ–‰์œ„์— ๋Œ€ํ•œ ๋™๊ธฐํ™” ์ •๋„๋Š” ์‹์ด, ์šด๋™, ์ฒด์ค‘๊ด€๋ฆฌ, ๊ธˆ์—ฐ์—์„œ ์ƒ์Šนํ•˜์˜€์œผ๋ฉฐ, ์ด ์ค‘ ์‹์ด์™€ ์šด๋™์—์„œ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ๋ณ€ํ™”๊ฐ€ ์žˆ์—ˆ๋‹ค. ์‹ค์ œ ๊ฑด๊ฐ• ํ–‰์œ„๋Š” ์‹์ด, ์šด๋™, ์ฒด์ค‘๊ด€๋ฆฌ, ํˆฌ์•ฝ์—์„œ ํ–ฅ์ƒ๋˜์—ˆ์œผ๋ฉฐ, ์ด ์ค‘ ์‹์ด๊ฐ€ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜๊ฒŒ ํ–ฅ์ƒ๋˜์—ˆ๋‹ค. ๊ฑด๊ฐ• ํ–‰์œ„ ๋ณ„๋กœ ์ค‘์žฌ ์ „ ํ›„ ๊ฑด๊ฐ• ํ–‰์œ„ ๋™๊ธฐํ™” ์ •๋„์˜ ์ƒ์Šน, ์œ ์ง€, ํ•˜๊ฐ•์— ๋”ฐ๋ผ ์‹ค์ œ ๊ฑด๊ฐ• ํ–‰์œ„์˜ ๋ณ€ํ™”๋ฅผ ์‚ดํŽด ๋ณธ ๊ฒฐ๊ณผ, ์‹์ด์™€ ์šด๋™์—์„œ ๋™๊ธฐํ™” ์ •๋„๊ฐ€ ์ƒ์Šนํ•œ ๊ทธ๋ฃน์ด, ์œ ์ง€์™€ ํ•˜๊ฐ• ๊ทธ๋ฃน์— ๋น„ํ•ด ๊ฑด๊ฐ• ํ–‰์œ„ ํ–ฅ์ƒ์ด ๋” ํฐ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ๊ฐœ๋ฐœํ•œ ๊ฑด๊ฐ• ํ–‰์œ„๋ณ„ ๋งž์ถค ์ค‘์žฌ ์ œ๊ณต ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜์€ ๊ณ ์ง€ํ˜ˆ์ฆ ํ™˜์ž์˜ ๋™๊ธฐํ™” ์ •๋„์—์„œ ํˆฌ์•ฝ์„ ์ œ์™ธํ•œ ์‹์ด, ์šด๋™, ์ฒด์ค‘๊ด€๋ฆฌ, ๊ธˆ์—ฐ์—์„œ ํšจ๊ณผ๊ฐ€ ์žˆ์—ˆ๊ณ , ๊ฑด๊ฐ• ํ–‰์œ„์—์„œ ๊ธˆ์—ฐ์„ ์ œ์™ธํ•œ ์‹์ด, ์šด๋™, ์ฒด์ค‘๊ด€๋ฆฌ, ํˆฌ์•ฝ์—์„œ ํšจ๊ณผ๊ฐ€ ์žˆ์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ณ ์ง€ํ˜ˆ์ฆ ํ™˜์ž์˜ ๊ฑด๊ฐ• ํ–‰์œ„ ๊ด€๋ฆฌ๋ฅผ ์œ„ํ•œ ๊ทผ๊ฑฐ๊ธฐ๋ฐ˜์˜ ๋งž์ถคํ˜• ์ค‘์žฌ๋ฅผ ์ œ๊ณตํ•˜๋Š” ์•ฑ์œผ๋กœ, ๊ฑด๊ฐ• ํ–‰์œ„์— ๋Œ€ํ•œ ๋™๊ธฐํ™” ์ •๋„๋ฅผ ์ƒ์Šน์‹œ์ผœ ์‹ค์ œ ๊ฑด๊ฐ• ํ–‰์œ„๋ฅผ ํ–ฅ์ƒ์‹œํ‚ค๋Š”๋ฐ ๊ธฐ์—ฌํ•˜์˜€๋‹ค.โ… . ์„œ๋ก  1 ๏ผ‘. ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ 1 2. ์—ฐ๊ตฌ์˜ ๋ชฉ์  4 3. ์šฉ์–ด์˜ ์ •์˜ 5 โ…ก. ๋ฌธํ—Œ๊ณ ์ฐฐ 7 ๏ผ‘. ๊ณ ์ง€ํ˜ˆ์ฆ ๊ด€๋ฆฌ 7 ๏ผ’. mHealth 12 ๏ผ“. Transtheoretical model 15 III. ์—ฐ๊ตฌ์˜ ํ‹€ 23 1. ์—ฐ๊ตฌ์˜ ์ด๋ก ์  ๊ธฐํ‹€ 23 2. ์—ฐ๊ตฌ ๊ฐ€์„ค 25 IV. ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 26 1. ๊ณ ์ง€ํ˜ˆ์ฆ ๊ด€๋ฆฌ ๋ชจ๋ฐ”์ผ ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜ ๊ฐœ๋ฐœ 26 2. ๊ณ ์ง€ํ˜ˆ์ฆ ๊ด€๋ฆฌ ๋ชจ๋ฐ”์ผ ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜ ํšจ๊ณผ ํ‰๊ฐ€ 32 V. ์—ฐ๊ตฌ๊ฒฐ๊ณผ 41 ๏ผ‘. ๊ณ ์ง€ํ˜ˆ์ฆ ๊ด€๋ฆฌ ๋ชจ๋ฐ”์ผ ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜ ๊ฐœ๋ฐœ 41 ๏ผ’. ๊ณ ์ง€ํ˜ˆ์ฆ ๊ด€๋ฆฌ ๋ชจ๋ฐ”์ผ ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜ ํšจ๊ณผ ํ‰๊ฐ€ 87 VI. ๋…ผ์˜ 98 ๏ผ‘. ๊ณ ์ง€ํ˜ˆ์ฆ ๊ด€๋ฆฌ ๋ชจ๋ฐ”์ผ ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜ ๊ฐœ๋ฐœ 98 ๏ผ’. ๊ณ ์ง€ํ˜ˆ์ฆ ๊ด€๋ฆฌ ๋ชจ๋ฐ”์ผ ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜ ํšจ๊ณผ ํ‰๊ฐ€ 102 VII. ๊ฒฐ๋ก  ๋ฐ ์ œ์–ธ 107 ์ฐธ๊ณ ๋ฌธํ—Œ 108 ๋ถ€๋ก 125 Abstract 171Docto

    ๊ณ ๋ น์—ฌ์„ฑ์˜ ๋ณต๋ถ€๋น„๋งŒ๊ณผ ๋ณต๋ถ€์œ ํ˜• ์ถ”์ • ๋ชจํ˜•

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์˜๋ฅ˜ํ•™๊ณผ, 2017. 2. ๋‚จ์œค์ž.๋ณธ ์—ฐ๊ตฌ๋Š” ํ•œ๊ตญ ๊ณ ๋ น์—ฌ์„ฑ์˜ ์ฒดํ˜•๊ณผ ๋น„๋งŒ ํŠน์„ฑ ๋ฐ ๊ฒฝํ–ฅ์„ ์ •์˜ํ•˜๊ณ , ํ†ต์ƒ์ ์œผ๋กœ ์‚ฌ์šฉ๋˜๋Š” ๋‹ค์–‘ํ•œ ๋น„๋งŒ ์ง€ํ‘œ๋“ค์˜ ๊ณ ๋ น์—ฌ์„ฑ์—์˜ ์ ์šฉํƒ€๋‹น์„ฑ ์—ฌ๋ถ€๋ฅผ ๊ณ ์ฐฐํ•˜์˜€๋‹ค. ๋˜ํ•œ ๊ณ ๋ น์—ฌ์„ฑ์˜ ์ฒดํ˜• ํŠน์„ฑ์„ ์ž˜ ๋‚˜ํƒ€๋‚ด๋Š” ์ฃผ์š” ์ธ์ฒด์น˜์ˆ˜ ๋ฐ ์ง€์ˆ˜๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋ณต๋ถ€์ง€๋ฐฉ๋ฅ  ์ถ”์ •์‹์„ ์ œ์‹œํ•จ์œผ๋กœ์จ, ์ฒด์„ฑ๋ถ„์ธก์ •๊ธฐ์—†์ด ๊ฐ„๋‹จํ•œ ์ธ์ฒด์ธก์ •ํ•ญ๋ชฉ์„ ์ด์šฉํ•˜์—ฌ ๋ณต๋ถ€์ง€๋ฐฉ๋ฅ ์„ ๊ณ„์‚ฐํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜์˜€๋‹ค. ์ด์™€ ๋”๋ถˆ์–ด ๋ณต๋ถ€์ง€๋ฐฉ๋ฅ ์— ๋”ฐ๋ฅธ ๋ณต๋ถ€ ์œ ํ˜•์˜ ํ˜•ํƒœ์  ์ฐจ์ด๋ฅผ ๋ถ„์„ํ•จ์œผ๋กœ์จ, ๋ณต๋ถ€์ง€๋ฐฉ ์ •๋„์— ๋”ฐ๋ฅธ ๊ณ ๋ น์ž์˜ ๋ณต๋ถ€ ํ˜•ํƒœ ๊ฒฝํ–ฅ์„ ์ œ์‹œํ•˜์˜€์œผ๋ฉฐ, ์ด๋Ÿฌํ•œ ๊ณผ์ •์„ ํ†ตํ•ด ํ†ต์ƒ์ ์œผ๋กœ ์‚ฌ์šฉ๋˜๋Š” ๋น„๋งŒ์ง€ํ‘œ์™€ ๋ณต๋ถ€ํ˜•ํƒœ ๊ฐ„์˜ ๊ด€๊ณ„๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๋ก ์€ ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, 70~85์„ธ ๊ณ ๋ น์—ฌ์„ฑ 378๋ช…๊ณผ 20๋Œ€์—ฌ์„ฑ 661๋ช…์„ 5์„ธ ๊ฐ„๊ฒฉ ์—ฐ๋ น๊ทธ๋ฃน์œผ๋กœ ๋ถ„ํ• ํ•˜์—ฌ ๋น„๋งŒ๊ด€๋ จ ์ง€์ˆ˜์˜ ๋น„๊ต๋ฅผ ์‹ค์‹œํ•œ ๊ฒฐ๊ณผ, BMI์™€ WHR, WHtR, WC๋กœ ๋น„๋งŒ์„ ํŒ์ •ํ–ˆ์„ ๋•Œ, ์ •์ƒ๋ฒ”์œ„์— ๊ฐ€์žฅ ๋งŽ์€ ๋นˆ๋„๋ฅผ ๋ณด์ด๋Š” 20๋Œ€์™€๋Š” ๋‹ฌ๋ฆฌ ๊ณ ๋ น์—ฌ์„ฑ ์—ฐ๋ น๊ทธ๋ฃน์€ ๋น„๋งŒ๋ฒ”์œ„์— ๊ฐ€์žฅ ๋†’์€ ๋นˆ๋„๋ฅผ ๋ณด์˜€๋‹ค. ํŠนํžˆ ๊ณ ๋ น์—ฌ์„ฑ์€ ํ—ˆ๋ฆฌ๋‘˜๋ ˆ์™€ ์ธ์ฒด์˜ ๋น„์œจ์„ ์ด์šฉํ•˜๋Š” ์ค‘์‹ฌ์„ฑ ๋น„๋งŒํŒ์ •์ง€์ˆ˜๋ฅผ ์ ์šฉํ–ˆ์„ ๋•Œ ๋Œ€๋ถ€๋ถ„์ด ๋น„๋งŒ์œผ๋กœ ๋ถ„๋ฅ˜๋˜๊ธฐ ๋•Œ๋ฌธ์—, ๊ณ ๋ น์—ฌ์„ฑ์˜ ์ฒดํ˜•์„ ์ดํ•ดํ•˜๊ธฐ ์œ„ํ•ด ๋ณต๋ถ€๋น„๋งŒ์„ ํ•„์ˆ˜์ ์œผ๋กœ ๊ณ ๋ คํ•ด์•ผ ํ•จ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. ์ธ์ฒด์ธก์ •ํ•ญ๋ชฉ๊ณผ ์ง€์ˆ˜์น˜์— ๋Œ€ํ•˜์—ฌ 20๋Œ€์™€ ๊ณ ๋ น์—ฌ์„ฑ ์—ฐ๋ น์ง‘๋‹จ์— ๋”ฐ๋ฅธ ์ฐจ์ด๋ฅผ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ๊ณ ๋ น์—ฌ์„ฑ ์—ฐ๋ น๊ทธ๋ฃน์—์„œ ๋‚˜์ด๊ฐ€ ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ํ‚ค๊ฐ€ ๊ฐ์†Œํ•˜๋Š” ๊ฒฝํ–ฅ์ด ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์ธ์ฒด์— ๋Œ€ํ•œ ๋ณต๋ถ€์˜ ๋น„์œจ์ด ๊ณ ์—ฐ๋ น ๊ทธ๋ฃน์ผ์ˆ˜๋ก ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ๋˜ํ•œ ๊ณ ๋ น์—ฌ์„ฑ์€ ํ—ˆ๋ฆฌ์ˆ˜์ค€ ํŽธํ‰๋ฅ ์ด ๋ณ€ํ™”ํ•˜์—ฌ ๋‚˜์ด๊ฐ€ ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ํ—ˆ๋ฆฌ๋‹จ๋ฉด์ด ํƒ€์›ํ˜•์—์„œ ์›ํ˜•์œผ๋กœ ๋ณ€ํ™”ํ•จ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. ๊ณ ๋ น์—ฌ์„ฑ์˜ ๋น„๋งŒ๊ด€๋ จ ํ•ญ๋ชฉ๊ฐ„ ๊ด€๊ณ„์„ฑ์„ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ํ‚ค์™€ ์ƒ๊ด€์—†์ด ๋น„๋งŒ๊ฒฝํ–ฅ์— ๋”ฐ๋ผ ๋‘˜๋ ˆ, ๋„ˆ๋น„, ๋‘๊ป˜, BMI ๋ฐ ๋น„๋งŒ์ง€์ˆ˜๊ฐ€ ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒฝํ–ฅ์ด ์žˆ์—ˆ์œผ๋ฉฐ, ๋ณต๋ถ€์ง€๋ฐฉ๋ฅ ๊ณผ WHtR์€ ์ฒด๊ฐ„๋ถ€ ๋‘˜๋ ˆ์™€ ๋†’์€ ์ƒ๊ด€์„ ๋ณด์—ฌ ๊ณ ๋ น์—ฌ์„ฑ์˜ ์ค‘์‹ฌ์„ฑ๋น„๋งŒ ์ฒดํ˜•์„ ๋‚˜ํƒ€๋‚ด๋Š” ์ง€์ˆ˜๋กœ์จ ์œ ์šฉํ•จ์ด ๋ฐํ˜€์กŒ๋‹ค. ๋‘˜์งธ, ๊ณ ๋ น์—ฌ์„ฑ์˜ ์ฒดํ˜•์—์„œ ๋‚˜ํƒ€๋‚˜๋Š” ๋น„๋งŒํŠน์ง•์˜ ๊ณตํ†ต์ ์ธ ์š”์ธ์„ ์ถ”์ถœํ•˜์˜€๋‹ค. ๊ทธ ๊ฒฐ๊ณผ, ์š”์ธ 1 : BMI ๋ฐ ์ฒด์ง€๋ฐฉ๊ด€๋ จ, ์ฒด๊ฐ„๋ถ€๋‘˜๋ ˆ์™€ ์‚ฌ์ง€์œ—๋ถ€๋ถ„๋‘˜๋ ˆ๊ด€๋ จ ์š”์ธ, ์š”์ธ 2 : ๋‘˜๋ ˆ์ง€์ˆ˜์น˜์™€ ํ—ˆ๋ฆฌ~์ –๊ฐ€์Šด์•„๋ž˜๋‘˜๋ ˆ ์š”์ธ, ์š”์ธ 3 :ํŽธํ‰์ง€์ˆ˜์™€ ๋ฐฐ, ์—‰๋ฉ์ด ๋‘๊ป˜ ํ•ญ๋ชฉ ์š”์ธ, ์š”์ธ 4 :์‚ฌ์ง€๋ง๋‹จ๋‘˜๋ ˆ ์š”์ธ์˜ ์ด 4๊ฐœ ์š”์ธ์ด ๋„์ถœ๋˜์—ˆ๋‹ค. ์š”์ธ 1์ด ์ „์ฒด๋ณ€๋Ÿ‰์˜ ๊ฐ€์žฅ ๋งŽ์€ ๋ถ€๋ถ„(66.16%)์„ ์„ค๋ช…ํ•œ๋‹ค๋Š” ์ ์œผ๋กœ ๋ณด์•˜์„ ๋•Œ, ๊ณ ๋ น์—ฌ์„ฑ์˜ ์ฒดํ˜•์—์„œ ๋‚˜ํƒ€๋‚˜๋Š” ์ฃผ๋œ ๋น„๋งŒ ํŠน์„ฑ์ด ๋‚ด์žฅ์ง€๋ฐฉ์˜ ์ฆ๊ฐ€์—์„œ ๊ธฐ์ธํ•œ ์ฒด๋‚ด์ง€๋ฐฉ์˜ ์ฆ๊ฐ€์™€ ์ด์— ๋”ฐ๋ฅธ ์ฒด๊ฐ„๋ถ€ ๋‘˜๋ ˆ์˜ ์ฆ๊ฐ€์ž„์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. ๋˜ํ•œ ์š”์ธ2์™€ 3์„ ํ†ตํ•ด ์ค‘์‹ฌ์„ฑ ๋น„๋งŒ์„ ๋‚˜ํƒ€๋‚ด๋Š” ๋‘˜๋ ˆ์ง€์ˆ˜์น˜ ์š”์ธ๊ณผ ์ฒด๊ฐ„๋ถ€์˜ ํŽธํ‰๋ฅ ์ด ๊ณ ๋ น์—ฌ์„ฑ์˜ ๋น„๋งŒํŠน์„ฑ์„ ์„ค๋ช…ํ•จ์„ ์•Œ ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์‚ฌ์ง€์—์„œ๋Š” ์ƒ๋Œ€์ ์œผ๋กœ ๋น„๋งŒ๊ฒฝํ–ฅ์ด ์ ๊ฒŒ ๋‚˜ํƒ€๋‚จ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. ์…‹์งธ, ๊ณ ๋ น์—ฌ์„ฑ 365๋ช…์˜ 3D ์ธ์ฒดํ˜•์ƒ์˜ ์ธก๋ฉด์„ ์ด์šฉํ•˜์—ฌ ๋ฐฐํ˜•ํƒœ ์œ ํ˜•์— ๋Œ€ํ•œ ์ „๋ฌธ๊ฐ€ ์‹œ๊ฐ์  ํ‰๊ฐ€๋ฅผ ์‹ค์‹œํ•˜์˜€๋‹ค. ์ œ์‹œํ•œ ๋ณต๋ถ€์œ ํ˜•์€ ์ „์ฒด๋Œ์ถœํ˜•, ์œ„์•„๋ž˜๋Œ์ถœํ˜•, ์•„๋ž˜๋Œ์ถœํ˜•, ํŽธํ‰ํ˜•์˜ 4๊ฐ€์ง€ ์œ ํ˜•์ด์—ˆ์œผ๋ฉฐ, ์ „๋ฌธ๊ฐ€ 7์ธ์—๊ฒŒ ํ”ผํ—˜์ž๊ฐ€ ํ•ด๋‹นํ•˜๋Š” ๋ฐฐ์œ ํ˜•์„ ์„ ํƒํ•ด ์ค„ ๊ฒƒ์„ ์š”์ฒญํ•˜์˜€๋‹ค. ๋ถ„์„์€ ์ „๋ฌธ๊ฐ€ ์ผ์น˜๋„ 5์ธ ์ด์ƒ์„ ๊ธฐ์ค€์œผ๋กœ ์‹ค์‹œํ•˜์˜€๋‹ค. ๋ฐฐ์œ ํ˜• ์‹œ๊ฐ์ ํ‰๊ฐ€์˜ ์ „์ฒด ์ผ์น˜๋„๋Š” 88.52%์˜€๋‹ค. ์œ ํ˜•๋ณ„๋กœ๋Š” ์ „์ฒด๋Œ์ถœํ˜•์˜ ์ผ์น˜๋„๊ฐ€ 88.95%๋กœ ๊ฐ€์žฅ ๋†’๊ณ  ์ดํ›„ ์•„๋ž˜๋Œ์ถœํ˜• ์ผ์น˜๋„ 88.92%, ํŽธํ‰ํ˜• ์ผ์น˜๋„ 88.31% ์ˆœ ์ด์—ˆ์œผ๋ฉฐ ์œ„์•„๋ž˜๋Œ์ถœํ˜•์˜ ์ผ์น˜๋„๊ฐ€ 80.61%๋กœ ๊ฐ€์žฅ ๋‚ฎ์•˜๋‹ค. ์ด๋Š” ์œ„์•„๋ž˜๋Œ์ถœํ˜• ์œ ํ˜•์ด ์‹œ๊ฐ์ ์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜๊ธฐ ๊ฐ€์žฅ ํž˜๋“ค๋ฉฐ, ๋‹ค๋ฅธ ์œ ํ˜•๊ณผ ํ˜ผ์žฌ๋˜๋Š” ํŠน์„ฑ์ด ์žˆ์Œ์„ ์˜๋ฏธํ•œ๋‹ค. ๋ฐฐ์œ ํ˜•๋ณ„ ๋ถ„ํฌ๋Š” ๊ณ ๋ น์—ฌ์„ฑ์˜ ์—ฐ๋ น๊ณผ ๊ด€๊ณ„ ์—†์ด ์ „์ฒด๋Œ์ถœํ˜•(61.4%), ์•„๋ž˜๋Œ์ถœํ˜•(30.2%), ์œ„์•„๋ž˜๋Œ์ถœํ˜•(4.7%), ํŽธํ‰ํ˜•(3.7%) ์ˆœ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์šฐ๋ฆฌ๋‚˜๋ผ ๊ณ ๋ น์—ฌ์„ฑ์˜ ๋ณต๋ถ€๋Š” ์ „์ฒด๊ฐ€ ๋Œ์ถœํ•˜๊ฑฐ๋‚˜ ์•„๋ž˜๊ฐ€ ๋Œ์ถœํ•œ ์œ ํ˜•์ด ๋Œ€๋ถ€๋ถ„์ด๋ฉฐ, ๋ณต๋ถ€์˜ ๋Œ์ถœ ์—†์ด ํŽธํ‰ํ•œ ์œ ํ˜•์€ ๋งค์šฐ ์ ์€ ๋ถ„ํฌ๋ฅผ ๋ณด์ž„์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. ๋ฐฐ์œ ํ˜•์— ๋”ฐ๋ฅธ ๋ณต๋ถ€์ง€๋ฐฉ๋ฅ  ๋ฐ ๋น„๋งŒ๊ด€๋ จ์ง€์ˆ˜(WHtR, WHR, BMI, ํ—ˆ๋ฆฌํŽธํ‰๋ฅ )์˜ ์ฐจ์ด๋ฅผ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ๋ฐฐ์œ ํ˜•์— ๋”ฐ๋ผ ๋ชจ๋“  ํ•ญ๋ชฉ์—์„œ ์ฐจ์ด๊ฐ€ ๋‚˜ํƒ€๋‚จ์œผ๋กœ์จ ๋น„๋งŒ์˜ ์‹ฌํ™”์— ๋”ฐ๋ผ ๋ณต๋ถ€์˜ ํ˜•ํƒœ๊ฐ€ ํŽธํ‰ํ˜•, ์•„๋ž˜๋Œ์ถœํ˜•, ์ „์ฒด๋Œ์ถœํ˜• ์ˆœ์œผ๋กœ ๋ณ€ํ™”ํ•˜๋Š” ๊ฒƒ์ด ๋ฐœ๊ฒฌ๋˜์—ˆ๋‹ค. ๋„ท์งธ, ๋ณต๋ถ€์ง€๋ฐฉ๋ฅ ์€ ๋น„๋งŒ๊ด€๋ จ ํ•ญ๋ชฉ ๋ฐ ์ง€์ˆ˜์™€ ๋†’์€ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ณด์ด๋ฉฐ ์ •๋„์— ๋”ฐ๋ผ ๋ฐฐ์œ ํ˜•์˜ ์ฐจ์ด๊ฐ€ ์กด์žฌํ•˜๊ธฐ ๋•Œ๋ฌธ์—, ๊ฐ„๋‹จํ•œ ์ธ์ฒด์ธก์ • ํ•ญ๋ชฉ์„ ํ†ตํ•ด ์ด๋ฅผ ์ถ”์ •ํ•  ์ˆ˜ ์žˆ๋Š” ์ถ”์ •์‹์„ ๊ตฌ์„ฑํ•˜์˜€๋‹ค. ์ตœ์ข…์ ์œผ๋กœ ์ข…์†๋ณ€์ˆ˜๋ฅผ ๋ณต๋ถ€์ง€๋ฐฉ๋ฅ , ๋…๋ฆฝ๋ณ€์ˆ˜๋ฅผ WHtR๋กœ ์„ค์ •ํ•˜๋Š” ๋ณต๋ถ€์ง€๋ฐฉ๋ฅ  ์ถ”์ •์‹(Y=.446+.742X, X=WHtR, Y=๋ณต๋ถ€์ง€๋ฐฉ๋ฅ )์ด ๋„์ถœ๋˜์—ˆ์œผ๋ฉฐ 77.6%์˜ ์„ค๋ช…๋ ฅ์„ ๊ฐ€์ง€๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ถ”์ •์‹์˜ ๊ฒ€์ฆ์„ ์œ„ํ•ด, ๊ณ ๋ น์—ฌ์„ฑ 378๋ช…์˜ ์ฒด์„ฑ๋ถ„์ธก์ •๊ธฐ(InBody 230)์œผ๋กœ ์ธก์ •ํ•œ ์‹ค์ œ ๋ณต๋ถ€์ง€๋ฐฉ๋ฅ ๊ณผ ํšŒ๊ท€์‹ ์ถ”์ •๊ฐ’์˜ ์ฐจ์ด๋ฅผ ๋ถ„์„ํ•˜์˜€์œผ๋ฉฐ, ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•œ ์ฐจ์ด๊ฐ€ ์—†๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚˜ ์ถ”์ •์‹์ด ์‹ค์ œ ๋ณต๋ถ€์ง€๋ฐฉ๋ฅ ์„ ๋ฐ˜์˜ํ•จ์ด ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋‹ค์„ฏ์งธ, ๊ณ ๋ น์—ฌ์„ฑ์˜ ๋ณต๋ถ€์ง€๋ฐฉ๋ฅ  ์ •๋„์— ๋”ฐ๋ฅธ ๋ณต๋ถ€์œ ํ˜•์˜ ๋ถ„๋ฅ˜๊ฐ€ ์ƒˆ๋กœ์šด ํ”ผํ—˜์ž์—๊ฒŒ์„œ๋„ ๋™์ผํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚˜๋Š”์ง€ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•ด, ์•ž์„œ 365๋ช…์˜ ๋ณต๋ถ€์ง€๋ฐฉ๋ฅ ๊ณผ ๋ถ„๋ฅ˜๋œ ๊ฐ ๋ณต๋ถ€ํ˜•ํƒœ์˜ ํ‰๊ท ๊ณผ ํ‘œ์ค€ํŽธ์ฐจ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๋ฐฐ์œ ํ˜•๋ฒ”์œ„(์ „์ฒด๋Œ์ถœํ˜• .87~.95, ์œ„์•„๋ž˜๋Œ์ถœํ˜• .85~.91, ์•„๋ž˜๋Œ์ถœํ˜• .81~.91, ํ‰ํŽธํ˜• .80~.82)๋ฅผ ์ œ์‹œํ•˜์˜€๋‹ค. ์ดํ›„ ์ „๋ฌธ๊ฐ€ 7์ธ์„ ๋Œ€์ƒ์œผ๋กœ ์‹œ๊ฐ์  ํ‰๊ฐ€๋ฅผ ์‹ค์‹œํ•˜์—ฌ 30๋ช…์˜ ์ƒˆ๋กœ์šด ํ”ผํ—˜์ž์— ๋Œ€ํ•ด ๊ฐ ๋ฐฐ์œ ํ˜•์— ๋Œ€ํ•œ ๋™์˜์„ฑ์„ ์‘๋‹ต ๋ฐ›์•˜๋‹ค. ์ดํ›„ ์ „๋ฌธ๊ฐ€์˜ ์‘๋‹ต์— ์˜ํ•œ ๋ฐฐ์œ ํ˜•๊ณผ ๊ฐ ๋ฐฐ์œ ํ˜•์˜ ๋ณต๋ถ€์ง€๋ฐฉ๋ฅ  ๋ฒ”์œ„์— ๋”ฐ๋ฅธ ๋ฐฐ์œ ํ˜•์˜ ์ผ์น˜์„ฑ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๊ทธ ๊ฒฐ๊ณผ, ์ „์ฒด ํ”ผํ—˜์ž 30๋ช…์ค‘ 24๋ช…(80%)์ด ์ผ์น˜ํ•˜์˜€์œผ๋ฉฐ, 6๋ช…์ด ๋ถˆ์ผ์น˜ ํ•จ์œผ๋กœ์จ ๋ณต๋ถ€์ง€๋ฐฉ๋ฅ  ์ •๋„์— ๋”ฐ๋ผ ๋ฐฐ์œ ํ˜•์ด ๊ตฌ๋ถ„๋จ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ํ•˜๋‚˜ ๋˜๋Š” ๋‘๊ฐœ์˜ ์ถ”์ •์œ ํ˜•์ด ์ œ์‹œ๋˜๋Š” ๋‹ค๋ฅธ ๊ตฌ๊ฐ„๊ณผ ๋‹ฌ๋ฆฌ, ๋ณต๋ถ€์ง€๋ฐฉ๋ฅ  .87~.91๊ตฌ๊ฐ„์€ ์„ธ ์œ ํ˜•์ด ๋ชจ๋‘ ๊ฒน์น˜๋Š” ๋ฒ”์œ„๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋˜ํ•œ ์ด ๋ฒ”์œ„์— ์†ํ•˜๋Š” ํ”ผํ—˜์ž๊ฐ€ 15๋ช…์œผ๋กœ ์ „์ฒด์˜ ์•ฝ 50%์— ํ•ด๋‹นํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋”ฐ๋ผ์„œ ์ด๋Ÿฌํ•œ ๊ฒฝ์šฐ ์ผ์ฐจ์ ์œผ๋กœ ๋ณต๋ถ€์ง€๋ฐฉ๋ฅ ์— ๋”ฐ๋ผ ํŒ๋‹จํ•˜๋˜, ์ธ์ฒด ์ธก๋ฉด ํ˜•์ƒ ๋ฐ ์‹ค๋ฃจ์—ฃ, ์ธ์ฒด์น˜์ˆ˜ ๋“ฑ์˜ ๋‹ค๊ฐ์ ์ธ ๊ณ ๋ ค๊ฐ€ ํ•„์š”ํ•  ๊ฒƒ์ด๋‹ค. ๋ฐฐ์œ ํ˜•์ด ๋ถˆ์ผ์น˜ํ•œ ํ”ผํ—˜์ž๋“ค์€ ์ธ์ฒด ์‹ค๋ฃจ์—ฃ์ƒ์—์„œ ์—ฌ๋Ÿฌ ์œ ํ˜•์˜ ํŠน์„ฑ์ด ํ˜ผ์žฌํ•˜์—ฌ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋˜ํ•œ ๊ณ ๋ น์ž์˜ ํ”ผ๋ถ€๋…ธํ™” ํŠน์„ฑ์œผ๋กœ ์ธํ•ด ์ธก์ •๋ณต์— ์˜ํ•œ ๋ณต๋ถ€์˜ ๋ณ€ํ˜•์ด ๋‚˜ํƒ€๋‚˜ ๋ฐฐ์œ ํ˜•์˜ ๋ถ„๋ฅ˜์— ํ˜ผ๋™์ด ๋ฐœ์ƒํ•˜์˜€์œผ๋ฉฐ, ์ด์— ๋”ฐ๋ผ ์ธก์ •๋ณต ๊ฐœ์„ ๊ณผ ์ธก์ •๋ณต์— ์˜ํ•ด ์ผ์–ด๋‚œ ๋ณต๋ถ€์˜ ๋ณ€ํ˜•์„ ์–ด๋–ป๊ฒŒ ์ฒ˜๋ฆฌํ•  ๊ฒƒ์ธ๊ฐ€์— ๋Œ€ํ•œ ๋…ผ์˜๊ฐ€ ํ•„์š”ํ•  ๊ฒƒ์œผ๋กœ ์‚ฌ๋ฃŒ๋œ๋‹ค.1. ์„œ ๋ก  1 1.1. ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ 1 1.2. ์—ฐ๊ตฌ์˜ ๋ชฉ์  4 2. ์ด๋ก ์  ๋ฐฐ๊ฒฝ 6 2.1. ๋น„ ๋งŒ 6 2.1.1. ๋น„๋งŒ์˜ ์ •์˜์™€ ํ˜„ํ™ฉ 6 2.1.2. ๋น„๋งŒ์˜ ์œ ํ˜• 7 2.2. ๋น„๋งŒ์˜ ํŒ์ • ๊ธฐ์ค€ 9 2.2.1. ๋น„๋งŒ ํŒ์ • ์ง€์ˆ˜์˜ ์ข…๋ฅ˜ 9 2.2.2. ๊ฐ ๋น„๋งŒ ํŒ์ • ์ง€์ˆ˜ ๋ณ„ ์žฅ๋‹จ์  10 2.3. ๊ณ ๋ น ์—ฌ์„ฑ์˜ ์ฒดํ˜• 15 2.3.1. ๋…ธ์ธ ๋น„๋งŒ์˜ ํŠน์„ฑ 15 2.3.2. ๊ณ ๋ น ์—ฌ์„ฑ์˜ ์ฒดํ˜•๊ณผ ๋ณต๋ถ€ ๊ด€๋ จ ํŠน์„ฑ 17 3. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• 22 3.1. ์—ฐ๊ตฌ์ž๋ฃŒ ๋ฐ ์ธก์ •ํ•ญ๋ชฉ 23 3.1.1. ์—ฐ๊ตฌ์ž๋ฃŒ 23 3.1.2. ์ธก์ •ํ•ญ๋ชฉ ๋ฐ ๋น„๋งŒ๊ด€๋ จ ์ง€์ˆ˜ 24 3.2. ๊ณ ๋ น ์—ฌ์„ฑ์˜ ์ฒดํ˜•ํŠน์„ฑ ๋ฐ ๋น„๋งŒํŠน์„ฑ ์ถ”์ถœ ๋ฐฉ๋ฒ• 26 3.2.1. ๊ณ ๋ น์—ฌ์„ฑ๊ณผ 20๋Œ€์—ฌ์„ฑ์˜ ๋น„๋งŒ๊ด€๋ จ ์ธก์ • ๋ฐ ์ง€์ˆ˜ํ•ญ๋ชฉ ๋น„๊ต ๋ฐฉ๋ฒ• 26 3.2.2. ๊ณ ๋ น์—ฌ์„ฑ์˜ ๋น„๋งŒ๊ด€๋ จ ํ•ญ๋ชฉ๊ณผ ๊ด€๊ณ„๋ฅผ ๊ฐ–๋Š” ์ธก์ • ๋ฐ ์ง€์ˆ˜ํ•ญ๋ชฉ ์ถ”์ถœ 29 3.3. ๊ณ ๋ น์—ฌ์„ฑ์˜ ์ฒดํ˜•์„ ๊ตฌ์„ฑํ•˜๋Š” ๋น„๋งŒ๊ด€๋ จ ์š”์ธ ์ถ”์ถœ๋ฐฉ๋ฒ• 31 3.4. ๊ณ ๋ น์—ฌ์„ฑ์˜ ๋ฐฐ์œ ํ˜• ๋ถ„๋ฅ˜ ๋ฐฉ๋ฒ• 33 3.4.1. ์‹œ๊ฐ์  ํ‰๊ฐ€๋ฅผ ํ†ตํ•œ ๋ฐฐ์œ ํ˜• ๋ถ„๋ฅ˜ ๋ฐฉ๋ฒ• 33 3.4.2. ๋ฐฐ์œ ํ˜•์— ๋”ฐ๋ฅธ ๋ณต๋ถ€์ง€๋ฐฉ๋ฅ  ๋ฐ ๋น„๋งŒ์ง€์ˆ˜์˜ ์ฐจ์ด ๋ถ„์„ ๋ฐฉ๋ฒ• 34 3.5. ๊ณ ๋ น์—ฌ์„ฑ์˜ ๋ณต๋ถ€์ง€๋ฐฉ๋ฅ  ์ถ”์ •์‹ ๋„์ถœ ๋ฐ ๊ฒ€์ฆ ๋ฐฉ๋ฒ• 35 3.6. ์ƒˆ๋กœ์šด ํ”ผํ—˜์ž๋ฅผ ํ†ตํ•œ ๋ณต๋ถ€์ง€๋ฐฉ๋ฅ  ์ถ”์ •์‹ ๋ฐ ๋ณต๋ทฐ์œ ํ˜• ์ถ”์ •๋ชจํ˜• ๊ฒ€์ฆ 36 4. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ ๋ฐ ๊ณ ์ฐฐ 37 4.1. ๊ณ ๋ น์—ฌ์„ฑ์˜ ์ฒดํ˜•ํŠน์„ฑ ๋ฐ ๋น„๋งŒํŠน์„ฑ ์ถ”์ถœ 37 4.1.1. ๊ณ ๋ น์—ฌ์„ฑ๊ณผ 20๋Œ€์—ฌ์„ฑ์˜ ๋น„๋งŒ๊ด€๋ จ ์ธก์ • ๋ฐ ์ง€์ˆ˜ํ•ญ๋ชฉ ๋น„๊ต 37 4.1.2. ๊ณ ๋ น์—ฌ์„ฑ์˜ ๋น„๋งŒ๊ด€๋ จ ํ•ญ๋ชฉ๊ณผ ๊ด€๊ณ„๋ฅผ ๊ฐ–๋Š” ์ธก์ • ๋ฐ ์ง€์ˆ˜ํ•ญ๋ชฉ ์ถ”์ถœ 45 4.2. ๊ณ ๋ น์—ฌ์„ฑ์˜ ๋น„๋งŒ๊ตฌ์„ฑ ์š”์ธ ์ถ”์ถœ 52 4.3. ์‹œ๊ฐ์  ํ‰๊ฐ€๋ฅผ ํ†ตํ•œ ๊ณ ๋ น์—ฌ์„ฑ์˜ ๋ฐฐ์œ ํ˜• ๋ถ„๋ฅ˜ 55 4.3.1. ๋ฐฐ์œ ํ˜•๋ณ„ ์ „๋ฌธ๊ฐ€ ์ผ์น˜๋„ ๋ฐ ๋ฐฐ์œ ํ˜•๋ถ„ํฌ 55 4.3.2. ๋ณต๋ถ€์ง€๋ฐฉ๋ฅ  ๋ฐ ๋น„๋งŒ์ง€์ˆ˜์— ๋”ฐ๋ฅธ ๊ณ ๋ น์—ฌ์„ฑ์˜ ๋ฐฐํ˜•ํƒœ ์ฐจ์ด 57 4.4. ๊ณ ๋ น์—ฌ์„ฑ์˜ ๋ณต๋ถ€์ง€๋ฐฉ๋ฅ  ์ถ”์ •์‹ ๋„์ถœ ๋ฐ ๊ฒ€์ฆ 60 4.5. ์ƒˆ๋กœ์šด ํ”ผํ—˜์ž๋ฅผ ํ†ตํ•œ ๊ณ ๋ น์—ฌ์„ฑ์˜ ๋ณต๋ถ€๋น„๋งŒ ๊ฒฝํ–ฅ์„ฑ ๊ฒ€์ฆ 63 4.5.1. ์ƒˆ๋กœ์šด ํ”ผํ—˜์ž๋ฅผ ํ†ตํ•œ ๋ณต๋ถ€์ง€๋ฐฉ๋ฅ  ์ถ”์ •์‹ ๊ฒ€์ฆ 63 4.6. ์—ฐ๊ตฌ๊ฒฐ๊ณผ ๊ณ ์ฐฐ ๋ฐ ์ œ์–ธ 74 5. ์š”์•ฝ ๋ฐ ๊ฒฐ๋ก  75 ์ฐธ ๊ณ  ๋ฌธ ํ—Œ 79 ๋ถ€ ๋ก 83 Abstract 91Maste

    ์‹ ์ œํ’ˆ์˜ ์Šคํ‚ค๋งˆ๋ถˆ์ผ์น˜์„ฑ์— ๋Œ€ํ•œ ์ธ์ง€์  ํ•ด๊ฒฐ๊ณผ ํฅ๋ฏธ๊ฐ์˜ ์ •์„œ์  ๋ฐ˜์‘์„ ํ†ตํ•œ ์‹ ์ œํ’ˆ ์ˆ˜์šฉ ์ฆ์ง„ ๋ฐฉ์•ˆ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ: Hedonic vs. Utilitarian Benefit Appeal์˜ ๋น„๊ต๋ฅผ ์ค‘์‹ฌ์œผ๋กœ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ฒฝ์˜ํ•™๊ณผ ๋งˆ์ผ€ํŒ…์ „๊ณต, 2016. 2. ์ด์œ ์žฌ.์‹ ์ œํ’ˆ์„ ์ถœ์‹œํ•  ๊ฒฝ์šฐ ์‹ ์ œํ’ˆ์€ ๋™์ผ ์นดํ…Œ๊ณ ๋ฆฌ ๋‚ด์˜ ๊ธฐ์กด ์ œํ’ˆ์— ์ƒˆ๋กœ์šด ์†์„ฑ(attributes)๊ณผ ํ˜œํƒ(benefits)์„ ์ฒจ๊ฐ€ํ•˜๊ฑฐ๋‚˜ใ€€์ œ๊ฑฐํ•˜์—ฌ ์ถœ์‹œ๋˜๊ธฐ ๋•Œ๋ฌธ์— ๊ธฐ์กด์˜ ์ œํ’ˆ๊ณผใ€€๋ถˆ์ผ์น˜ํ•  ์ˆ˜๋ฐ–์— ์—†๋Š” ์ˆ™๋ช…์„ ์ง€๋‹Œ๋‹ค. ์„ ํ–‰ ์—ฐ๊ตฌ๋“ค์— ์˜ํ•˜๋ฉด ์†Œ๋น„์ž๋“ค์€ ๊ธฐ์กด์˜ใ€€์ œํ’ˆ์Šคํ‚ค๋งˆ์™€ ์™„์ „ํžˆ ์ผ์น˜ํ•˜๊ฑฐ๋‚˜ ์™„์ „ํžˆใ€€๋ถˆ์ผ์น˜ํ•˜๋Š”ใ€€์ œํ’ˆ๋ณด๋‹ค๋Š” ๊ธฐ์กด์˜ ์ œํ’ˆ ์Šคํ‚ค๋งˆ์—์„œ ์‚ด์ง ๋ฒ—์–ด๋‚œ ์ œํ’ˆ์— ๋”์šฑ ๊ธ์ •์ ์ธ ํ‰๊ฐ€๋ฅผ ํ•œ๋‹ค๏ผŽ ๋ณธใ€€์—ฐ๊ตฌ์—์„œ๋Š”ใ€€๊ธฐ์กดใ€€์—ฐ๊ตฌ์—์„œใ€€๋ฐํžŒใ€€์ œํ’ˆ์˜ใ€€์Šคํ‚ค๋งˆใ€€์ผ์น˜ํšจ๊ณผ(product schema-congruity effect)๊ฐ€ใ€€์™œใ€€๋‚˜ํƒ€๋‚˜๋Š”์ง€ใ€€๊ทธใ€€์–ธ๋”๋ผ์ž‰ใ€€๋ฉ”์ปค๋‹ˆ์ฆ˜์„ใ€€์ธ์ง€์ ใ€€ํ‰๊ฐ€ใ€€๊ณผ์ •๊ณผใ€€์ •์„œ์ ใ€€ํ‰๊ฐ€ใ€€๊ณผ์ •์˜ใ€€๋‘ใ€€๊ฒฝ๋กœ๋ฅผใ€€ํ†ตํ•ดใ€€๋ฐํ˜€ใ€€๋ณด์•˜๋‹ค๏ผŽใ€€์ฆ‰๏ผŒใ€€์‹ ์ œํ’ˆ์˜ใ€€์Šคํ‚ค๋งˆใ€€์ผ์น˜ใ€€์ˆ˜์ค€์ดใ€€์ œํ’ˆ์—ใ€€๋Œ€ํ•œใ€€ํ‰๊ฐ€์—ใ€€์ด๋ฅด๋Š”ใ€€๊ณผ์ •์„ใ€€์ œํ’ˆ์˜ใ€€์Šคํ‚ค๋งˆใ€€๋ถˆ์ผ์น˜์„ฑ์—ใ€€๋Œ€ํ•œใ€€์ธ์ง€์ ใ€€ํ•ด๊ฒฐ (cognitive resolutionใ€€ofใ€€incongruity)๊ณผ ํฅ๋ฏธ๊ฐ์˜ใ€€์ •์„œ์ ใ€€๋ฐ˜์‘ (affective response of excitement)์„ใ€€ํ†ตํ•œใ€€๋งค๊ฐœํšจ๊ณผ๋ฅผใ€€์ค‘์‹ฌ์œผ๋กœใ€€์‚ดํŽด๋ณด์•˜๋‹ค๏ผŽใ€€๋˜ํ•œใ€€๋™์ผํ•œใ€€์ œํ’ˆ์ด๋ผใ€€ํ• ์ง€๋ผ๋„ใ€€์พŒ๋ฝ์ ใ€€ํ˜น์€ใ€€์‹ค์šฉ์ ใ€€ํ˜œํƒ๊ณผ ๊ฐ™์ดใ€€์ œํ’ˆ ํ˜œํƒ ์†Œ๊ตฌ์˜ ์œ ํ˜•์— ๋”ฐ๋ผ ์ œํ’ˆ์— ๋Œ€ํ•œ ํ‰๊ฐ€๊ฐ€ ๋‹ฌ๋ผ์งˆ ์ˆ˜ ์žˆ์Œ์— ๋Œ€ํ•˜์—ฌ ์•Œ์•„๋ณด์•˜๋‹ค๏ผŽใ€€ ใ€€ใ€€๋ณธใ€€์—ฐ๊ตฌ์˜ใ€€์ฃผ์š” ๋ถ„์„ใ€€๊ฒฐ๊ณผ๋Š”ใ€€ํฌ๊ฒŒใ€€์„ธใ€€๋ถ€๋ถ„์œผ๋กœใ€€๋‚˜๋ˆ„์–ดใ€€๋ณผใ€€์ˆ˜ใ€€์žˆ๋Š”๋ฐ๏ผŒใ€€์ธ์ง€์ ใ€€ํ•ด๊ฒฐใ€€๊ณผ์ •๏ผŒใ€€์ •์„œ์ ใ€€๋ฐ˜์‘๊ณผ์ •๏ผŒใ€€๊ทธ๋ฆฌ๊ณ ใ€€์ œํ’ˆ ํ˜œํƒ ์†Œ๊ตฌ์˜ ์กฐ์ ˆํšจ๊ณผใ€€๋ถ€๋ถ„์œผ๋กœใ€€์‚ดํŽดใ€€๋ณผใ€€์ˆ˜ใ€€์žˆ๋‹ค๏ผŽใ€€ ใ€€ใ€€๋จผ์ €ใ€€์ธ์ง€์ ใ€€ํ‰๊ฐ€ใ€€๊ณผ์ •์—ใ€€๋Œ€ํ•œใ€€์ฃผ์š”ใ€€๋ถ„์„ใ€€๊ฒฐ๊ณผ๋Š”ใ€€๋‹ค์Œ๊ณผใ€€๊ฐ™๋‹ค๏ผŽใ€€์ฒซ์งธ๏ผŒใ€€์‹ ์ œํ’ˆ์ด ๋™์ผ ์นดํ…Œ๊ณ ๋ฆฌใ€€๋‚ด์˜ ๊ธฐ์กดใ€€์ œํ’ˆ์Šคํ‚ค๋งˆ์™€ ์ผ์น˜ํ• ์ˆ˜๋ก ์‹ ์ œํ’ˆ์—ใ€€๋Œ€ํ•œใ€€ํ‰๊ฐ€์—ใ€€๋ถ€์ •์ ใ€€์˜ํ–ฅ(-)์„ใ€€๋ฏธ์นœ๋‹ค๏ผŽใ€€๋‘˜์งธ๏ผŒใ€€์‹ ์ œํ’ˆ์ดใ€€๊ธฐ์กดใ€€์ œํ’ˆ์Šคํ‚ค๋งˆ์™€ใ€€์ผ์น˜ํ• ์ˆ˜๋กใ€€์ธ์ง€์ ใ€€ํ•ด๊ฒฐ๊ณผ์ •์—ใ€€๊ธ์ •์ ใ€€์˜ํ–ฅ(+)์„ใ€€๋ฏธ์นœ๋‹ค๏ผŽ ์…‹์งธ๏ผŒใ€€์‹ ์ œํ’ˆ์˜ใ€€์Šคํ‚ค๋งˆใ€€๋ถˆ์ผ์น˜์—ใ€€๋Œ€ํ•œใ€€์ธ์ง€์ ใ€€ํ•ด๊ฒฐ์ดใ€€ํ™œ์„ฑํ™”ใ€€๋ ์ˆ˜๋กใ€€์‹ ์ œํ’ˆ ํ‰๊ฐ€์—ใ€€๊ธ์ •์ ใ€€์˜ํ–ฅ(+)์„ใ€€๋ฏธ์นœ๋‹ค๏ผŽใ€€ใ€€ ใ€€ใ€€์ •์„œ์ ใ€€ํ‰๊ฐ€๊ณผ์ •์„ใ€€ํ†ตํ•œใ€€์ฃผ์š”ใ€€๋ถ„์„ใ€€๊ฒฐ๊ณผ๋Š”ใ€€๋‹ค์Œ๊ณผใ€€๊ฐ™๋‹ค๏ผŽใ€€์ฒซ์งธ๏ผŒ ํ•œ๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜๊ธฐ๋Š” ํ•˜์˜€์ง€๋งŒ ์‹ ์ œํ’ˆ์ดใ€€๋™์ผใ€€์นดํ…Œ๊ณ ๋ฆฌใ€€๋‚ดใ€€๊ธฐ์กดใ€€์ œํ’ˆ์Šคํ‚ค๋งˆ์™€ใ€€์ผ์น˜ํ• ์ˆ˜๋กใ€€ํฅ๋ฏธ๊ฐ์ด๋ผ๋Š”ใ€€์ •์„œ์ ใ€€๋ฐ˜์‘์—ใ€€๋ถ€์ •์ (-)ใ€€์˜ํ–ฅ์„ใ€€๋ฏธ์นœ๋‹ค๏ผŽ ๋‘˜์งธ๏ผŒ ํฅ๋ฏธ๊ฐ์€ใ€€์ œํ’ˆใ€€ํ‰๊ฐ€์—ใ€€๊ธ์ •์ ใ€€์˜ํ–ฅ(+)์„ใ€€๋ฏธ์นœ๋‹ค๏ผŽใ€€ ใ€€ใ€€๋งˆ์ง€๋ง‰์œผ๋กœใ€€์‹ ์ œํ’ˆ์˜ ์Šคํ‚ค๋งˆ ์ผ์น˜ ์ˆ˜์ค€์ด ์ œํ’ˆ ํ‰๊ฐ€์— ๋ฏธ์น˜๋Š” ๊ณผ์ •์—์„œ ํ˜œํƒ ์†Œ๊ตฌ ์œ ํ˜•์˜ใ€€์กฐ์ ˆํšจ๊ณผ๋Š” ์œ ์˜ํ•˜์˜€์œผ๋ฉฐ ๊ทธ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์พŒ๋ฝ์  ํ˜œํƒ์„ ๊ฐ•์กฐํ•˜์—ฌ ์†Œ๊ตฌํ•  ๊ฒฝ์šฐ ์‹ ์ œํ’ˆ๊ณผ ๊ธฐ์กด์ œํ’ˆ์˜ ์Šคํ‚ค๋งˆใ€€์ผ์น˜์ˆ˜์ค€์ด ๋†’์„์ˆ˜๋ก ์Šคํ‚ค๋งˆ ๋ถˆ์ผ์น˜์— ๋Œ€ํ•œ ์ธ์ง€์  ํ•ด๊ฒฐ๊ณผ์ •์— ๋ฏธ์น˜๋Š” ๊ธ์ •์ ์ธ ํšจ๊ณผ๊ฐ€ ๋”์šฑ ๋” ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ๋ฐ˜๋ฉด์— ์‹ค์šฉ์  ํ˜œํƒ์„ ๊ฐ•์กฐํ•˜์—ฌ ์†Œ๊ตฌ ํ•  ๊ฒฝ์šฐ ๊ธฐ์กด์˜ ์ œํ’ˆ๊ณผ ์Šคํ‚ค๋งˆ ์ผ์น˜์ˆ˜์ค€์ด ๋†’์„์ˆ˜๋ก ํฅ๋ฏธ๊ฐ์ด๋ผ๋Š” ์ •์„œ์  ๋ฐ˜์‘์— ๋ฏธ์น˜๋Š” ๋ถ€์ •์  ์˜ํ–ฅ์ด ๋”์šฑ ๋” ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ใ€€ใ€€ ๋”ฐ๋ผ์„œใ€€์‹ ์ œํ’ˆ์„ใ€€์ถœ์‹œํ• ใ€€๋•Œ์—๋Š”ใ€€๊ธฐ์กด์˜ใ€€์Šคํ‚ค๋งˆ์™€ใ€€๋„ˆ๋ฌดใ€€์ผ์น˜ํ•˜์ง€ใ€€์•Š๋˜ใ€€๋ฐ˜๋“œ์‹œใ€€์ธ์ง€์ ใ€€ํ•ด๊ฒฐ์ดใ€€๊ฐ€๋Šฅํ•˜๋„๋กใ€€์Šคํ‚ค๋งˆใ€€๋ถˆ์ผ์น˜๊ฐ€ใ€€์ ์ •ํ•œใ€€์ˆ˜์ค€์˜ใ€€์‹ ์ œํ’ˆ์„ใ€€์ถœ์‹œํ•˜๊ณ ใ€€์ธ์ง€์ ใ€€ํ•ด๊ฒฐ์„ใ€€ํ™œ์„ฑํ™”ใ€€ํ• ใ€€์ˆ˜ใ€€์žˆ๋„๋กใ€€์พŒ๋ฝ์ ใ€€ํ˜œํƒ์„ใ€€๊ฐ•์กฐํ•ด์•ผใ€€ํ•œ๋‹ค๏ผŽใ€€๋˜ํ•œใ€€์‹ค์šฉ์ ใ€€ํ˜œํƒ์„ใ€€๋„ˆ๋ฌดใ€€๋ถ€๊ฐ์‹œํ‚ค์ง€ใ€€์•Š์Œ์œผ๋กœ์จใ€€ํฅ๋ฏธ๊ฐ์ดใ€€๊ฐ์†Œํ•˜์ง€ใ€€์•Š๋„๋กใ€€ํ•˜๋Š”ใ€€๋ฐฉํ–ฅ์œผ๋กœใ€€ํฌ์ง€์…”๋‹ํ•ด์•ผใ€€ํ•œ๋‹ค๏ผŽใ€€์ฆ‰๏ผŒ ๊ธฐ์กด์˜ใ€€์ œํ’ˆใ€€์Šคํ‚ค๋งˆ์—์„œใ€€์ ์ ˆํžˆใ€€๋ฒ—์–ด๋‚˜ใ€€ํฅ๋ฏธ๊ฐ์„ใ€€์œ ๋ฐœํ•˜๋˜ใ€€๋ฐ˜๋“œ์‹œใ€€ใ€€์‹ ์ œํ’ˆ์˜ใ€€์Šคํ‚ค๋งˆใ€€๋ถˆ์ผ์น˜์„ฑ์—ใ€€๋Œ€ํ•œใ€€์ธ์ง€์ ใ€€ํ•ด๊ฒฐ์ดใ€€๊ฐ€๋Šฅํ•˜๊ฒŒใ€€์ถœ์‹œํ•˜๊ณ ใ€€์พŒ๋ฝ์ ใ€€ํ˜œํƒ์„ใ€€์†Œ๊ตฌํ•˜์—ฌใ€€์ธ์ง€์ ใ€€ํ•ด๊ฒฐใ€€๊ณผ์ •์„ใ€€์ด‰์ง„ํ•˜๋Š”ใ€€๊ฒƒ์ดใ€€์‹ ์ œํ’ˆ์˜ใ€€์ˆ˜์šฉ์„ใ€€์ฆ๊ฐ€ใ€€์‹œํ‚ฌใ€€์ˆ˜ใ€€์žˆ๋Š”ใ€€๋ฐฉ์•ˆ์ด๋ผ๊ณ ใ€€๋ณผใ€€์ˆ˜ใ€€์žˆ๋‹ค๏ผŽใ€€ ใ€€ใ€€๊ธฐ์กด์˜ใ€€์—ฐ๊ตฌ์—์„œ๋Š”ใ€€์ œํ’ˆ์˜ใ€€ํ‰๊ฐ€ใ€€๊ณผ์ •์—์„œใ€€์พŒ๋ฝ์ ใ€€ํ˜œํƒ์€ใ€€์ •์„œ์ ใ€€๋ฐ˜์‘์„ใ€€์ด‰์ง„ํ•˜๊ณ ๏ผŒใ€€์‹ค์šฉ์ ใ€€ํ˜œํƒ์€ใ€€์ธ์ง€์ ใ€€๋ฐ˜์‘์„ใ€€์ด‰์ง„ํ•œ๋‹ค๋Š” ์ด๋ฅธ๋ฐ”ใ€€์พŒ๋ฝ๏ผ์ •์„œ๏ผŒใ€€์‹ค์šฉ๏ผ์ธ์ง€์˜ใ€€๋Œ€์‘์›์น™(matching principle) ์ดใ€€์ฃผ๋ฅผใ€€์ด๋ฃจ์—ˆ๋Š”๋ฐ๏ผŒใ€€์‹ ์ œํ’ˆ์˜ใ€€ ๊ฒฝ์šฐใ€€๊ธฐ์กดใ€€์ œํ’ˆ๊ณผ์˜ใ€€์Šคํ‚ค๋งˆใ€€์ผ์น˜ใ€€์ˆ˜์ค€ (the level ofใ€€new product schema congruity)์—ใ€€๋”ฐ๋ผใ€€๊ฐ•์กฐ๋œใ€€์ œํ’ˆํ˜œํƒใ€€์†Œ๊ตฌใ€€์œ ํ˜•๏ผˆ์พŒ๋ฝ์  vs. ์‹ค์šฉ์  ํ˜œํƒ๏ผ‰๊ณผใ€€์ œํ’ˆใ€€ํ‰๊ฐ€ใ€€๊ณผ์ •๏ผˆ์ธ์ง€์ ใ€€vs. ์ •์„œ์ ใ€€๊ณผ์ •๏ผ‰์˜ใ€€์ƒํ˜ธ์ž‘์šฉใ€€๊ฒฐ๊ณผ๊ฐ€ใ€€๋‹ค๋ฅด๊ฒŒใ€€๋‚˜์˜ฌใ€€์ˆ˜ใ€€์žˆ๋‹ค๋Š”ใ€€๊ฒฝ๊ณ„ใ€€์กฐ๊ฑด(boundary condition)์„ใ€€๋ฐœ๊ฒฌํ–ˆ๋‹ค๋Š”ใ€€์ ์—ใ€€๋ณธใ€€์—ฐ๊ตฌ์˜ใ€€์˜์˜๊ฐ€ใ€€์žˆ๋‹ค๏ผŽใ€€ ใ€€ใ€€๋งˆ์ง€๋ง‰์œผ๋กœใ€€ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ํ•œ ์ด๋ก ์ , ์‹ค๋ฌด์  ์‹œ์‚ฌ์ ์„ ๋…ผ์˜ํ•˜์˜€๊ณ , ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„์  ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ์„ ์ œ์‹œํ•˜์˜€๋‹ค.Companies frequently develop new products by adding novel attributes that provide new benefits to existing categories. Although new products can offer consumers great benefits than existing products, they have extremely low rates of success. This research investigates the challenge faced by new products that are different from existing products by conducting two experiments based on the theory of schema congruity effect. The differences in congruity between new products and existing product category schema may influence the nature of product evaluation process and thus product evaluations. New products that are incongruent with their associated category schema are expected to receive greater attention and stimulate processing that leads to more favorable evaluations relative to new products that are congruent. The purpose of this study was to investigate an underlying mechanism of new product evaluation process and to examine the moderating role of type of benefit appeal on the relationship between new product congruity and both cognitive resolution and affective response that eventually lead to evaluations of new products. The author posits that consumers acceptance of new products will increase when marketers use strategies that facilitate cognitive resolution of incongruity and affective response of excitement. The results from two experiments indicate that cognitive resolution facilitates participants ability to make sense of incongruent new products and leads to favorable product evaluations. And the results also suggest that affective response of excitement leads to favorable product evaluations, although the path from new product congruity to affective response of excitement was marginally significant. Furthermore, the results find the moderating role of type of benefit appeal on the relationship between new product congruity and product evaluation, subsequently examining relationships between new product congruity, cognitive resolution of incongruity, affective response of excitement, and product evaluations. The primary contribution of this study is to find a boundary condition of the matching principle such that utilitarian benefit facilitates cognitive process and hedonic benefit stimulates affective response. This research findings reveal that the interaction between new product congruity and hedonic benefit appeal increases cognitive resolution of incongruity, whereas the interaction between new product congruity and utilitarian benefit appeal decreases affective response of excitement. And both cognitive resolution of incongruity and affective response of excitement lead to more favorable product evaluation. New products are different from existing products, because novel attributes are added or existing attributes are eliminated when they are developed. The process of cognitive resolution of incongruity requires cognitive resources, and hedonic benefit appeal stimulates cognitive process of resolving incongruity by facilitating cognitive flexibility. Thus, it is important for marketers to emphasize hedonic benefit appeal when they launch or promote new products. This research findings can benefit researchers and practitioners by providing insights into mechanism underlying new product evaluation process and suggesting effective marketing strategies suitable for enhancing new products acceptance in the market. Limitations and future research ideas are also discussed.I. INTRODUCTION 1 II. THEORETICAL REVIEW AND HYPOTHESIS 2 2.1 Schema-Congruity Effect and Product Evaluation 2 2.2 New Product Congruity and Cognitive Resolution 3 2.3 New Product Congruity and affective Response 4 2.4 Hedonic vs. UtilitarianBenefit Appeal 7 III. METHOD AND RESULTS 12 3.1 Study I 12 3.2 Study II 17 IV. DISCUSSION ANDIMPLICATIONS 27 V.LIMITATIONSANDFUTURERESEARCHDIRECTION 29 APPENDIX 32 APPENDIX A STUDY 1 ADVERTISEMENT 32 APPENDIX B STUDY 2 ADVERTISEMENT 33 REFERENCES 35 ABSTRACT (KOREAN) 43Maste

    DEA๊ธฐ๋ฒ•์„ ํ™œ์šฉํ•œ ์ธ๋ ฅ์–‘์„ฑ์‚ฌ์—…์˜ ๋Œ€ํ•™ ๊ฐ„ ํšจ์œจ์„ฑ ๋ถ„์„ -ใ€Œ์ž์›๊ฐœ๋ฐœํŠน์„ฑํ™”๋Œ€ํ•™ใ€ ์‚ฌ์—…์„ ์ค‘์‹ฌ์œผ๋กœ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์—๋„ˆ์ง€์‹œ์Šคํ…œ๊ณตํ•™๋ถ€, 2013. 2. ํ—ˆ์€๋…•.์šฐ๋ฆฌ๋‚˜๋ผ ์ •๋ถ€๊ฐ€ ์ถ”์ง„ํ•˜๋Š” ์ž์›๊ฐœ๋ฐœ ๋ถ„์•ผ์˜ ์ธ๋ ฅ์–‘์„ฑ์€ ์ง€๋‚œ 2006๋…„ ์‚ฐ์—…์ธ๋ ฅ ๊ต์œก์ธ ์ž์›๊ฐœ๋ฐœ ์•„์นด๋ฐ๋ฏธ๊ฐ€ ์‹œํ–‰๋˜์—ˆ๊ณ , ๋Œ€ํ•™์˜ ๊ธฐ์ดˆ ์ธํ”„๋ผ ๊ตฌ์ถ•์„ ์ง€์›ํ•˜๊ธฐ ์œ„ํ•œ ๊ธฐ์ดˆ์ธ๋ ฅ์–‘์„ฑ์‚ฌ์—…์€ ใ€Œ์ž์›๊ฐœ๋ฐœ ํŠน์„ฑํ™”๋Œ€ํ•™ใ€์‚ฌ์—…์ด 2009๋…„๋ถ€ํ„ฐ ์ตœ์ดˆ๋กœ ์‹œํ–‰๋˜์—ˆ๋‹ค. ๋ณธ ์‚ฌ์—…์€ ์ž์›๊ฐœ๋ฐœํ•™๊ณผ๊ฐ€ ์กด์žฌํ•˜๋Š” ๋Œ€ํ•™ ์ค‘ 10๊ฐœ ๋Œ€ํ•™์„ ํŠน์„ฑํ™”๋Œ€ํ•™์œผ๋กœ ์ง€์ •ํ•˜์—ฌ ์ง€์›ํ•˜๋Š” ํ˜•์‹์ด๋ฉฐ, ์ด ์ง€์›๊ธฐ๊ฐ„์€ 5๋…„์œผ๋กœ 3์ฐจ ์—ฐ์ฐจํ‰๊ฐ€๋งŒ์ด ์ด๋ฃจ์–ด์กŒ์œผ๋ฉฐ, ์ตœ์ข… ์„ฑ๊ณผ๋ถ„์„์€ ์•„์ง ์ด๋ฃจ์–ด์ง€์ง€ ์•Š์•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ์šฐ๋ฆฌ๋‚˜๋ผ์—์„œ ์ฒ˜์Œ์œผ๋กœ ์‹ค์‹œ๋œ ์ž์›๊ฐœ๋ฐœ ๊ธฐ์ดˆ์ธ๋ ฅ์–‘์„ฑ์‚ฌ์—…์ด์ž ๋Œ€ํ•™์ง€์›์‚ฌ์—…์ธ ใ€Œ์ž์›๊ฐœ๋ฐœ ํŠน์„ฑํ™”๋Œ€ํ•™ใ€์‚ฌ์—…์˜ ํšจ์œจ์„ฑ์„ ๋ถ„์„ํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ๊ธฐ์กด ์ •๋ถ€์˜ ์ธ๋ ฅ์–‘์„ฑ์‚ฌ์—… ํ‰๊ฐ€ ๋ฐ ๋Œ€ํ•™ํ‰๊ฐ€๋Š” ์ฃผ๋กœ ์„ฑ๊ณผ์ง€ํ‘œ๋ฅผ ์ด์šฉํ•œ ์ •์„ฑ์  ํšจ๊ณผ ๋ถ„์„์ด ์ด๋ฃจ์–ด์กŒ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ฐ ๋Œ€ํ•™์˜ ๊ทœ๋ชจ์™€ ํŠน์„ฑ์„ ๊ณ ๋ คํ•˜๊ณ . ์‚ฌ์—…์˜ ๋ชฉ์ ์— ๋ถ€ํ•ฉํ•˜๋Š” ์„ฑ๊ณผ์˜ ๋‹ค์–‘ํ•œ ์ธก๋ฉด์„ ๋ฐ˜์˜ํ•˜๋Š” ํšจ์œจ์„ฑ ๊ฐœ๋…์„ ๊ธฐ์ดˆ๋กœ ํ•˜๋Š” DEA ๋ฐฉ๋ฒ•์„ ํ™œ์šฉํ•˜์—ฌ 10๊ฐœ์˜ ์ž์›๊ฐœ๋ฐœ ํŠน์„ฑํ™”๋Œ€ํ•™์— ๋Œ€ํ•ด ์ƒ๋Œ€์  ํšจ์œจ์„ฑ์„ ๋ถ„์„์„ ์‹œ๋„ํ•˜์˜€๋‹ค. ์‚ฌ์—…์˜ ๋ชฉ์ ๊ณผ ๊ธฐ๋Œ€ํšจ๊ณผ์— ๋งž๋Š” ํˆฌ์ž… ๋ฐ ์‚ฐ์ถœ๋ณ€์ˆ˜๋ฅผ ์„ ์ •ํ•˜์—ฌ ํšจ์œจ์  ๋Œ€ํ•™์„ ํŒŒ์•…ํ•˜๊ณ  ํšจ์œจ์  ๋ฐ ๋น„ํšจ์œจ์  ๋Œ€ํ•™์˜ ํŠน์„ฑ์„ ๊ทœ๋ช…ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” โŒœ์ž์›๊ฐœ๋ฐœ ํŠน์„ฑํ™”๋Œ€ํ•™โŒŸ ์‚ฌ์—…์˜ ์„ฑ๊ณผ์ธ ์ธ๋ ฅ์–‘์„ฑ, ๊ต์› ํ™•๋ณด, ์—ฐ๊ตฌ ์‹ค์ ์„ ๋ณ€์ˆ˜๋กœ ์„ค์ •ํ•˜์—ฌ ์ข…ํ•ฉ, ์ธ๋ ฅ์–‘์„ฑ ๋ฐ ์—ฐ๊ตฌ ๋ถ€๋ฌธ์œผ๋กœ ๋‚˜๋ˆ„์–ด ํšจ์œจ์„ฑ ๋ถ„์„์„ ํ•˜์˜€๋‹ค. ์—ฐ๋„๋ณ„ ํšจ์œจ์„ฑ ์ง€์ˆ˜๋ฅผ ํŒŒ์•…ํ•˜๊ณ  ๋Œ€ํ•™๋“ค์˜ 3๋…„ ๋™์•ˆ์˜ ํšจ์œจ์„ฑ ์ถ”์ด๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ข…ํ•ฉํšจ์œจ์„ฑ ๋ถ„์„ ๊ฒฐ๊ณผ, 10๊ฐœ ๋Œ€ํ•™ ์ค‘ ํšจ์œจ์  ๋Œ€ํ•™์ด 4 ~ 6๊ฐœ๋กœ ๋‚˜ํƒ€๋‚ฌ๊ณ , 11๋…„ ์ทจ์—…๋ฅ  ๋ถ€๋ฌธ์—์„œ ํšจ์œจ์  ๋Œ€ํ•™์€ 8๊ฐœ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. Window๋ถ„์„์„ ํ†ตํ•ด ์—ฐ๋„๋ณ„ ํšจ์œจ์„ฑ ์ง€์ˆ˜๋ฅผ ํŒŒ์•…ํ•˜๊ณ  ๋Œ€ํ•™๋“ค์˜ 3๋…„ ๋™์•ˆ์˜ ํšจ์œจ์„ฑ ์ถ”์ด๋ฅผ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, 7๊ฐœ ๋Œ€ํ•™์€ ํšจ์œจ์„ฑ ์ง€์ˆ˜์— ํฐ ๋ณ€๋™์ด ์—†์—ˆ๊ณ , 3๊ฐœ ๋Œ€ํ•™์€ ํšจ์œจ์„ฑ์ด ๊ธ‰๊ฒฉํ•˜๊ฒŒ ํ•˜๋ฝํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” โŒœ์ž์›๊ฐœ๋ฐœ ํŠน์„ฑํ™”๋Œ€ํ•™โŒŸ ์‚ฌ์—…์˜ ์‹ค์ฆ๋ถ„์„์„ ํ†ตํ•ด ์ธ๋ ฅ์–‘์„ฑ์‚ฌ์—…์˜ ๋Œ€ํ•™ ๊ฐ„ ํšจ์œจ์„ฑ ๋ถ„์„์„ ์ฒ˜์Œ ์‹œ๋„ํ•˜์˜€๋‹ค๋Š” ๊ฒƒ์— ์˜์˜๊ฐ€ ์žˆ๊ฒ ๋‹ค. ํšจ์œจ์„ฑ ๋ถ„์„ ๊ฒฐ๊ณผ ์ž์›๊ฐœ๋ฐœ ํŠน์„ฑํ™”๋Œ€ํ•™ ์ค‘ ์—ฐ๋„๋ณ„ ๋ฐ ๋ถ€๋ฌธ๋ณ„๋กœ ํšจ์œจ์ ์ธ ๋Œ€ํ•™์ด 50%์ด์ƒ์œผ๋กœ ๊ฒฐ๊ณผ๊ฐ€ ๋‚˜์˜จ ๊ฒƒ์œผ๋กœ ๋ณผ ๋•Œ, ใ€Œ์ž์›๊ฐœ๋ฐœ ํŠน์„ฑํ™”๋Œ€ํ•™ใ€์‚ฌ์—…์˜ ํšจ๊ณผ๊ฐ€ ๋†’๋‹ค๊ณ  ํŒ๋‹จํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ, ๋น„ํšจ์œจ์˜ ์›์ธ์„ ํŒŒ์•…ํ•˜๊ณ  ํšจ์œจ์„ฑ ๊ฐœ์„ ์„ ์œ„ํ•œ ํˆฌ์ž…๊ณผ ์‚ฐ์ถœ๋ณ€์ˆ˜์˜ ๋ชฉํ‘œ์น˜ ๋ฐ ์กฐ์ •๋น„์œจ๊ณผ ํˆฌ์ž…โ€ค์‚ฐ์ถœ ๊ตฌ์กฐ๊ฐ€ ์œ ์‚ฌํ•œ ํšจ์œจ์  DMU์ธ ์ฐธ์กฐ์ง‘๋‹จ์„ ์•Œ์•„๋ณด์•˜๋‹ค. ์ด๋Ÿฐ ๊ฒฐ๊ณผ๋ฅผ ์ด์šฉํ•˜์—ฌ ๋น„ํšจ์œจ์  ๋Œ€ํ•™๋“ค์€ ๋™์งˆ์ ์ธ ํšจ์œจ์  ๋Œ€ํ•™๋“ค์„ ๋ฒค์น˜๋งˆํ‚นํ•˜์—ฌ ์‹ค์งˆ์  ํˆฌ์ž… ๋ฐ ์‚ฐ์ถœ๋ณ€์ˆ˜๋ฅผ ์กฐ์ •ํ•˜์—ฌ ํšจ์œจ์„ฑ์„ ๊ฐœ์„ ํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค.๋ชฉ ์ฐจ โ… . ์„œ ๋ก  1 1.1. ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  1 1.2. ๊ธฐ์กด ์—ฐ๊ตฌ์˜ ๊ฒ€ํ†  4 1.2.1. ๋Œ€ํ•™ํ‰๊ฐ€ ๊ด€๋ จ ์„ ํ–‰ ์—ฐ๊ตฌ 4 1.3. ์—ฐ๊ตฌ์˜ ๊ฐœ์š” 7 2. ์—ฐ๊ตฌ์˜ ์ด๋ก ์  ๋ฐฐ๊ฒฝ 8 2.1. ์šฐ๋ฆฌ๋‚˜๋ผ ๋Œ€ํ•™ํ‰๊ฐ€ ์ œ๋„ 8 2.1.1. ๊ต์œก๊ณผํ•™๊ธฐ์ˆ ๋ถ€ 8 2.1.2. ํ•œ๊ตญ๋Œ€ํ•™๊ต์œกํ˜‘์˜ํšŒ 12 2.2. ์ธ๋ ฅ์–‘์„ฑ์‚ฌ์—… ํ‰๊ฐ€ 18 2.2.1. ์ธ๋ ฅ์–‘์„ฑ์ •์ฑ… ์„ฑ๊ณผ๋ถ„์„ 18 2.2.2. ํšจ์šธ์„ฑ ๋ถ„์„ 20 2.2.3. ์ธ์ ์ž๋ณธ ์ถ•์ ๋ชจํ˜• 23 2.3. ์ž๋ฃŒํฌ๋ฝ๋ถ„์„(Data Envelopment Analysis) 29 2.3.1. ์ž๋ฃŒํฌ๋ฝ๋ถ„์„(DEA)์˜ ์ •์˜ 29 2.3.2. ์„ ํ–‰์—ฐ๊ตฌ ๋ถ„์„ 39 3. ์—๋„ˆ์ง€โ€ค์ž์› ์ธ๋ ฅ์–‘์„ฑ์‚ฌ์—… 46 3.1. ์šฐ๋ฆฌ๋‚˜๋ผ์˜ ์ž์›๊ฐœ๋ฐœ ์ธ๋ ฅ์–‘์„ฑ์‚ฌ์—… 46 3.1.1. ์ •๋ถ€์˜ ์—๋„ˆ์ง€โ€ค์ž์› ์ธ๋ ฅ์–‘์„ฑ ์ •์ฑ… 46 3.1.2. ์ž์›๊ฐœ๋ฐœ ์ธ๋ ฅ์–‘์„ฑ ์ •์ฑ… 49 3.2. ํ•ด์™ธ์˜ ์ž์›๊ฐœ๋ฐœ ์ธ๋ ฅ์–‘์„ฑ์‚ฌ์—… 54 3.2.1. ์ผ๋ณธ์˜ ์ธ๋ ฅ์–‘์„ฑ ์ •์ฑ… 54 3.2.2. ํ˜ธ์ฃผ์˜ ์ธ๋ ฅ์–‘์„ฑ ์ •์ฑ… 58 3.2.3. ์ค‘๊ตญ์˜ ์ธ๋ ฅ์–‘์„ฑ ์ •์ฑ… 60 3.2.4. ์œ ๋Ÿฝ์˜ ์ธ๋ ฅ์–‘์„ฑ ์ •์ฑ… 61 4. ์‹ค์ฆ๋ถ„์„ 63 4.1. ๋ชจํ˜• ์„ค๊ณ„ 63 4.1.1. ๋ถ„์„์ž๋ฃŒ 63 4.1.2. ๋ถ„์„๋ชจํ˜• 67 4.2. ํšจ์œจ์„ฑ ๋ถ„์„ ๊ฒฐ๊ณผ 71 4.2.1. ์ข…ํ•ฉํšจ์œจ์„ฑ ๋ถ„์„ 71 4.2.2. ์ธ๋ ฅ์–‘์„ฑ ๋ถ€๋ฌธ ํšจ์œจ์„ฑ ๋ถ„์„ 76 4.2.3. ์—ฐ๊ตฌ ๋ถ€๋ฌธ ํšจ์œจ์„ฑ ๋ถ„์„ 80 4.3. ํšจ์œจ์„ฑ ๊ฒฐ๊ณผ ๋ถ„์„ 82 4.3.1. ๋ชจํ˜•๋ณ„ ์ค€๊ฑฐ์ง‘๋‹จ ๋ฐ ์ฐธ์กฐํšŸ์ˆ˜ 82 4.3.2. ํšจ์œจ์„ฑ ๊ฐœ์„ ๋ฐฉํ–ฅ ๋ถ„์„ 87 5. ๊ฒฐ๋ก  99 5.1. ์š”์•ฝ 99 5.2. ์ •์ฑ… ์ œ์–ธ 102 5.3. ๊ฒฐ๋ก  104 ์ฐธ ๊ณ  ๋ฌธ ํ—Œ 106Maste

    A Study on the Effects of Data Content Characteristics of Self-Trackers on the Formation of Reflective Relationships with Users

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๋ฏธ์ˆ ๋Œ€ํ•™ ๋””์ž์ธํ•™๋ถ€ ๋””์ž์ธ์ „๊ณต, 2022.2. ์ •์˜์ฒ .์‚ฌ๋ฌผ ์ธํ„ฐ๋„ท(IoT) ์ œํ’ˆ์ด ์ง€์†์ ์œผ๋กœ ๋ฐ์ดํ„ฐ๋ฅผ ์ˆ˜์ง‘ํ•˜๋ฉด์„œ ๋ฐ์ดํ„ฐ๋Š” ๋‹ค์–‘ํ•œ ์‘์šฉ ๋ถ„์•ผ์—์„œ ๊ทธ ์ž ์žฌ๋ ฅ์„ ์ธ์ •๋ฐ›๊ณ  ์—ฐ๊ตฌ์ž๋“ค์˜ ๊ด€์‹ฌ์„ ๋ชจ์œผ๊ณ  ์žˆ๋‹ค. ์‚ฌ์šฉ์ž๋“ค์€ ์ž์‹ ์˜ ํ–‰์œ„์— ๋Œ€ํ•œ ์ถ”์  ๊ธฐ๋ก์„ ์†์‰ฝ๊ฒŒ ์ˆ˜์ง‘ํ•˜๊ฒŒ ๋˜๋ฉด์„œ ์ž์‹ ์˜ ํ–‰๋™์— ๋Œ€ํ•ด ๋งŽ์€ ์ •๋ณด๋ฅผ ์–ป๊ฒŒ ๋˜์—ˆ๋‹ค. โ€œ์ œํ’ˆ์˜ ์‚ฌ์šฉ์ž ์ถ”์  ๊ธฐ๋ก์ด ์‚ฌ์šฉ์ž์—๊ฒŒ ๊ณต์œ ๋˜์—ˆ์„ ๋•Œ ์‚ฌ์šฉ์ž์˜ ์ œํ’ˆ ์‚ฌ์šฉ ํ–‰ํƒœ๋‚˜ ๊ฐ์ •์— ์–ด๋– ํ•œ ๋ณ€ํ™”๋ฅผ ์ค„ ์ˆ˜ ์žˆ๋Š”๊ฐ€?โ€ ๋ผ๋Š” ์งˆ๋ฌธ์—์„œ ์ถœ๋ฐœํ•œ ๋ณธ ์—ฐ๊ตฌ๋Š” ์‚ฌ์šฉ์ž ์ถ”์  ๊ธฐ๋ก์ด ์„ฑ์ฐฐ์„ ์œ„ํ•œ ํŠธ๋ฆฌ๊ฑฐ(trigger)๋กœ์„œ ์–ด๋– ํ•œ ์—ญํ• ์„ ํ•  ์ˆ˜ ์žˆ๋Š”์ง€๋ฅผ ์‚ดํŽด๋ณด๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด๋Š” ๋ฐ์ดํ„ฐ๊ฐ€ ํ–‰๋™์˜ ํŒจํ„ด์„ ๋ฐํ˜€ ํ–‰๋™์˜ ์›์ธ๊ณผ ๊ฒฐ๊ณผ์˜ ๋ถ„์„์„ ์šฉ์ดํ•˜๊ฒŒ ํ•จ์œผ๋กœ์จ ํ–‰๋™ ๋ณ€ํ™”๋ฅผ ๋ชฉํ‘œ๋กœ ํ•˜๋Š” ์„ฑ์ฐฐ์— ๋งค์šฐ ์œ ์šฉํ•  ์ˆ˜ ์žˆ๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ๋˜ํ•œ ์‚ฌ์šฉ์ž์™€ ์ž๊ธฐ ์ถ”์  ์‹œ์Šคํ…œ์€ ์ƒํ˜ธ์ž‘์šฉํ•˜๋ฉฐ ๊ด€๊ณ„๋ฅผ ํ˜•์„ฑํ•ด ๊ฐ€๋Š”๋ฐ, ์ด ๊ด€๊ณ„ ํ˜•์„ฑ์˜ ๋‹จ๊ณ„๋ณ„๋กœ ๋ฐ์ดํ„ฐ์— ์˜ํ•œ ์„ฑ์ฐฐ์˜ ์ž‘์šฉ์„ ์‚ดํŽด๋ณธ๋‹ค๋ฉด ์ž๊ธฐ ์ถ”์  ๊ธฐ๋ก๊ณผ ์‚ฌ์šฉ์ž ๊ฒฝํ—˜์˜ ๊ด€๊ณ„๋ฅผ ํŒŒ์•…ํ•˜๊ณ  ๋‚˜์•„๊ฐ€ ๊ณ„ํšํ•˜๋Š”๋ฐ ์žˆ์–ด ๋„์›€์ด ๋  ๊ฒƒ์ด๋ผ ์ƒ๊ฐํ•œ๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ๋Š” ์‚ฌ์šฉ์ž ์ถ”์  ๊ธฐ๋ก์˜ ๋‚ด์šฉ ํŠน์„ฑ๊ณผ ์‚ฌ์šฉ์ž ๊ฒฝํ—˜์˜ ๊ด€๊ณ„์— ๋Œ€ํ•œ ์„ค๋ช…์„ ํ†ตํ•ด ๋ฐ์ดํ„ฐ๊ฐ€ ์‚ฌ์šฉ์ž ๊ฒฝํ—˜์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•ด ๊ณ ์ฐฐํ•˜๊ณ  ์ด๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ์‚ฌ์šฉ์ž์™€ ์ž๊ธฐ ์ถ”์ ๊ธฐ์˜ ์„ฑ์ฐฐ์  ๊ด€๊ณ„ ํ˜•์„ฑ์˜ ๋‹จ๊ณ„๋ฅผ ์‚ดํŽด๋ณด๊ณ  ๊ฐ ๋‹จ๊ณ„์—์„œ ๋ฐ์ดํ„ฐ ๋‚ด์šฉ ํŠน์„ฑ์ด ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋ฐํžˆ๋Š” ๊ฒƒ์„ ๋ชฉ์ ์œผ๋กœ ํ•œ๋‹ค. ์—ฐ๊ตฌ ๋ชฉ์  ๋‹ฌ์„ฑ์„ ์œ„ํ•ด ๋‹ค์Œ๊ณผ ๊ฐ™์€ ์ ˆ์ฐจ์— ๋”ฐ๋ผ์„œ ์กฐ์‚ฌ๋ฅผ ์ง„ํ–‰ํ•˜์˜€๋‹ค. 1๋‹จ๊ณ„, ์ •์˜์˜ ๋‹จ๊ณ„์—์„œ๋Š” ๊ธฐ๋ฐ˜ ์—ฐ๊ตฌ๋กœ์„œ ์‹œ์Šคํ…œ์—์„œ ์‚ฌ์šฉ์ž ์ถ”์  ๊ธฐ๋ก์˜ ์—ญํ• ์„ ๊ณ ์ฐฐํ•œ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด 1) ์‚ฌ์šฉ์ž ์ถ”์  ๊ธฐ๋ก์˜ ํŠน์„ฑ๊ณผ ์ด๊ฒƒ์ด ์‚ฌ์šฉ์ž์˜ '์‚ฌ์šฉ ํ–‰์œ„'์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์„ค๋ช…ํ•˜๊ณ  2) ์‚ฌ์šฉ์ž์™€ ์ž๊ธฐ ์ถ”์ ๊ธฐ์˜ ์ƒํ˜ธ์ž‘์šฉ์˜ ํŠน์„ฑ ๊ณ ์ฐฐ์„ ๋ฐ”ํƒ•์œผ๋กœ ์‚ฌ์šฉ์ž์™€ ์ž๊ธฐ ์ถ”์ ๊ธฐ์˜ ์„ฑ์ฐฐ์  ๊ด€๊ณ„ ํ˜•์„ฑ์˜ ๋‹จ๊ณ„์™€ ๋‹จ๊ณ„๋ณ„ ํŠน์„ฑ์„ ์„ค๋ช…ํ•œ๋‹ค. 2๋‹จ๊ณ„, ๋ถ„์„์˜ ๋‹จ๊ณ„์—์„œ ์ฒด๊ณ„์  ๋ฌธํ—Œ ๊ณ ์ฐฐ(systematic literature review)์„ ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•์œผ๋กœ ์„ ์ •, ์‹คํ–‰ํ•˜๊ณ  ์ด๋ฅผ ํ†ตํ•ด 1) ๋ฐ์ดํ„ฐ ๋‚ด์šฉ ํŠน์„ฑ๊ณผ ์‚ฌ์šฉ ๊ฒฝํ—˜ ์š”์ธ์„ ์ถ”์ถœํ•˜๊ณ , 2) ๋ฐ์ดํ„ฐ ๋‚ด์šฉ ํŠน์„ฑ๊ณผ ์‚ฌ์šฉ ๊ฒฝํ—˜ ๊ฐ„ ๊ด€๊ณ„ ๋ถ„์„์„ ํ•œ๋‹ค. 3๋‹จ๊ณ„, ์ ์šฉ ๋ฐ ๋ชจ๋ธ๋ง์˜ ๋‹จ๊ณ„์—์„œ๋Š” ์œ„์˜ ๊ด€๊ณ„ ๋ถ„์„ ๊ฒฐ๊ณผ๋ฅผ ์‚ฌ์šฉ์ž์™€ ์ž๊ธฐ ์ถ”์ ๊ธฐ ๊ฐ„ ์„ฑ์ฐฐ์  ๊ด€๊ณ„ ํ˜•์„ฑ ๋‹จ๊ณ„์— ์ ์šฉํ•œ๋‹ค. ๋ถ„์„ ๊ฒฐ๊ณผ๋ฅผ ์„ค๋ช…ํ•˜๋Š” ๋ชจ๋ธ์„ ๊ตฌ์ถ•ํ•˜์—ฌ ์„ฑ์ฐฐ์  ๊ด€๊ณ„ ํ˜•์„ฑ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒฝํ—˜ ์š”์ธ๊ณผ ๋ฐ์ดํ„ฐ ๋‚ด์šฉ ํŠน์„ฑ ์š”์ธ์„ ๋ฐํžŒ๋‹ค. ๋ถ„์„ ๋‹จ๊ณ„์—์„œ ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•์œผ๋กœ ์ฑ„ํƒํ•œ ์ฒด๊ณ„์  ๋ฌธํ—Œ ๊ณ ์ฐฐ์„ ํ†ตํ•ด ๋ฐ์ดํ„ฐ์˜ ๋‚ด์šฉ์— ๋”ฐ๋ผ ์–ด๋–ค ์‚ฌ์šฉ์ž ๊ฒฝํ—˜์„ ์œ ๋„ํ•  ์ˆ˜ ์žˆ๋Š”์ง€, ๋˜ํ•œ ๊ทธ ๊ณผ์ •์—์„œ ๋ฐ์ดํ„ฐ ๋‚ด์šฉ ์ด์™ธ์˜ ์ฃผ์š” ๋ณ€์ˆ˜๋“ค์—๋Š” ์–ด๋–ค ๊ฒƒ์ด ์žˆ๊ณ  ๊ฐ๊ฐ์˜ ์ฃผ์š” ๋ณ€์ˆ˜๋“ค์ด ์‚ฌ์šฉ์ž ๊ฒฝํ—˜์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์€ ์–ด๋– ํ•œ์ง€ ๋“ฑ์„ ํ†ตํ•ฉ์ , ๊ตฌ์กฐ์ ์œผ๋กœ ์„ค๋ช…ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. 3์ธ์˜ ์—ฐ๊ตฌ์ž๊ฐ€ 4๊ฐœ์›”๊ฐ„ 10ํŽธ์˜ ์ฝ”๋”ฉ์„ ์™„๋ฃŒํ•˜๊ณ , ์ดํ›„ ์—ฐ๊ตฌ์ž 1์ธ์ด ์ •ํ•ด์ง„ ์›์น™์— ๋”ฐ๋ผ ๋‚˜๋จธ์ง€ 10ํŽธ์„ ์™„๋ฃŒํ•˜์—ฌ ์ด 20ํŽธ์„ ๋Œ€์ƒ์œผ๋กœ ์ฒด๊ณ„์  ๋ฌธํ—Œ ๊ณ ์ฐฐ์„ ์ง„ํ–‰ ํ•˜์˜€๋‹ค. ๋ถ„์„ ๊ฒฐ๊ณผ ์ฒซ์งธ, ์•ˆ์ •๊ฐ(+/0) ์š”์ธ์ด ์ž๊ธฐ ์ถ”์ ๊ธฐ ์‚ฌ์šฉ ๊ฒฝํ—˜์˜ ์ฃผ์š”ํ•œ ๊ฒฝํ—˜ ์š”์ธ์ด์—ˆ๊ณ , ์ด๋Š” ๋‹ค์‹œ ์•ˆ์ •๊ฐ(+)๊ณผ ์•ˆ์ •๊ฐ(0) ๊ทธ๋ฆฌ๊ณ  ์•ˆ์ •๊ฐ(+/0)๊ณผ ํ•จ๊ป˜ ์œ ๋„๋œ ๊ฒฝํ—˜ ์š”์ธ์— ๋”ฐ๋ผ ๊ทธ ์œ ํ˜•์ด ๋‚˜๋ˆ„์–ด์งˆ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋‘˜์งธ, ์ถ”์ ๊ธฐ ์‚ฌ์šฉ์„ ํ†ตํ•ด ์œ ๋„๋˜๋Š” ๋นˆ๋„๊ฐ€ ๋†’์€ ๊ธ์ •์  ๊ฒฝํ—˜ ์š”์ธ์€ ์ž์•„ ์กด์ค‘๊ฐ(+)๊ณผ ์ฆ๊ฑฐ์›€-์ž๊ทน(+)์ด์—ˆ์œผ๋ฉฐ, ์„ฑ์ฐฐ์  ๊ด€๊ณ„์˜ ๋‹จ๊ณ„๋ณ„๋กœ ๊ฐ๊ฐ์˜ ๊ฒฝํ—˜ ์š”์ธ์„ ์œ ๋„ํ•˜๋Š” ๋ฐ์ดํ„ฐ ๋‚ด์šฉ ํŠน์„ฑ์˜ ์š”์ธ์ด ๋‹ฌ๋ผ์ง์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์…‹์งธ, ์ถ”์ ๊ธฐ ์‚ฌ์šฉ์„ ํ†ตํ•ด ์œ ๋„๋˜๋Š” ๋นˆ๋„๊ฐ€ ๋†’์€ ๋ถ€์ •์  ๊ฒฝํ—˜ ์š”์ธ์€ ์ž์•„ ์กด์ค‘๊ฐ(-), ์‹ ์ฒด๊ฑด๊ฐ•(0/-)์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ ์ด๋Š” ์„ฑ์ฐฐ์  ๊ด€๊ณ„์˜ ๊ฐ ๋‹จ๊ณ„์—์„œ ์‚ฌ์šฉ ์ค‘๋‹จ์œผ๋กœ์˜ ์ „ํ™˜์„ ์•ผ๊ธฐํ•˜๋Š” ์š”์ธ์ด ๋˜์—ˆ๋‹ค. ๊ฒฐ๋ก ์—์„œ๋Š” ๋ถ„์„ ๊ฒฐ๊ณผ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ์‚ฌ์šฉ์ž์™€ ์ž๊ธฐ ์ถ”์ ๊ธฐ์˜ ์„ฑ์ฐฐ์  ์ˆœํ™˜ ๊ด€๊ณ„ ๋ชจ๋ธ์„ ์ œ์‹œํ•˜์˜€๋Š”๋ฐ ํƒ์ƒ‰-๊ฐ•ํ™”-์œ ์ง€์˜ ์ˆœํ™˜์ ์ธ ๊ด€๊ณ„ ๋ชจ๋ธ ์œ„์— ๋‹จ๊ณ„๋ณ„ ์ฃผ์š” ๊ฒฝํ—˜ ์š”์ธ๊ณผ ๊ฐ ๊ฒฝํ—˜ ์š”์ธ์„ ์œ ๋ฐœํ•˜๋Š” ๋Œ€ํ‘œ์ ์ธ ๋ฐ์ดํ„ฐ ๋‚ด์šฉ ํŠน์„ฑ์„ ํ‘œ์‹œํ–ˆ๋‹ค. ์ด ๋ชจ๋ธ์„ ํ†ตํ•ด ์„ฑ์ฐฐ์  ๊ด€๊ณ„์˜ ๊ฐ ๋‹จ๊ณ„์—์„œ ๋‹ค์Œ ๋‹จ๊ณ„๋กœ ๊ด€๊ณ„๋ฅผ ํ–ฅ์ƒ์‹œํ‚ค๊ฑฐ๋‚˜, ๊ด€๊ณ„๋ฅผ ์•ฝํ™”์‹œ์ผœ ์ˆœํ™˜์  ๊ด€๊ณ„์—์„œ ์ดํƒˆ์„ ์•ผ๊ธฐํ•˜๋Š” ๊ฒฝํ—˜ ์š”์ธ๊ณผ, ์ด๋ฅผ ์œ ๋„ํ•œ ๋ฐ์ดํ„ฐ ๋‚ด์šฉ ํŠน์„ฑ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ๋‹ค.As Internet of Things (IoT) products continue to collect data, data has been recognised for their potential in a various applications and are gaining significant attention from researchers. Users have gained a considerable information about their behavior by easily collecting the relevant tracking records. To answer the question, โ€œHow can a productโ€™s user tracking record change the userโ€™s behavior or emotions when shared with the user?โ€, in this study the user tracking record was analysed considering its role as a trigger for reflection. This is because data can be very useful for reflection aimed at changing their behaviors by facilitating the analysis of causes and consequences of these behaviors by revealing the behavior patterns. In addition, the user and the self-tracking system interact and form a relationship, and the action of reflection was analysed based on data at each stage of relationship formation. Therefore, the purpose of this study is to examine the effect of data on user experience by explaining of the content characteristics of the user tracking records and user experience. Based on these, the stages of reflective relationship formation between users and self-trackers were analysed to reveal the effect of data content characteristics at each stage. To achieve above mentioned purpose, research was conducted according to the following procedure: First, in the definition stage, the role of user tracking records in the system was considered as a base study. The results thus obtained were then used to explain: 1) the characteristics of the user tracking record and their effect on the usage behavior of the usersโ€™ and 2) the stages and step-by-step characteristics of the formation of a reflective relationship between users and self-tracers. Second, in the analysis stage, a systematic literature review was selected as a research method with the aim of, 1) extracting the data content characteristics and use experience factors, and 2) analysing the relationship between data content characteristics and experience factors. Third, in the application and modeling stage, the above relationship analysis results are applied to the stage where a reflective relationship is formed between the user and the self-tracker. By constructing a model to explain the analysis results, the experience factors and data content characteristic factors that influence the formation of reflective relationships were identified. The type of user experience that can be induced according to data content characteristics was discussed by a systematic literature review adopted as a research method in the analysis stage. Moreover, the main variables other than data content were identified to explain the effect of each of these variable on user experience. In the subject analysis of the systematic literature review, 20 articles were considered, among with, 10 were coded by three researchers over 4 months, after which, one researcher competed the remaining 10 articles according to the established principles. As a result of the analysis, first, the security(+/0) factor was found to be a major factor in the experience of using the self-tracker, which in turn could be divided into security(+), security(0) and the induced experience factors along with security(+/0). Second, the positive experience factors with high frequency induced through the use of trackers were self-esteem(+) and pleasure-stimulation(+). The data content characteristics composition that induced each experience factor was changed for each stage of the reflective relationship. Third, negative experience factors with a high frequency of induction through the use of trackers were self-esteem(-) and physical thriving(0/-), which caused the transition from each stage of the reflective relationship to their discontinuation of use. In conclusion, based on the analysis results, a reflective circular relationship model between users and self-trackers was presented. In this model of explorationโ€“reinforcementโ€“maintenance, data content characteristics that cause experience factors were also presented. This model enables the identification of the user experience factors that lead to departure from the circular relationship by improving or weakening the relationship from each stage of the reflective relationship to the next, and the characteristics of the data content characteristics that induced it.์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ 1 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ ๋ชฉ์  ๋ฐ ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•5 ์ œ 2 ์žฅ ์‹œ์Šคํ…œ์—์„œ โ€˜์‚ฌ์šฉ์ž ์ถ”์  ๊ธฐ๋กโ€™์˜ ์—ญํ• 8 ์ œ 1 ์ ˆ ์ž๊ธฐ ์ถ”์  ๊ด€๋ จ ์—ฐ๊ตฌ ๋™ํ–ฅ8 ์ œ 2 ์ ˆ โ€˜์‚ฌ์šฉ์ž ์ถ”์  ๊ธฐ๋กโ€™ ์œผ๋กœ์„œ์˜ ๋ฐ์ดํ„ฐ11 1. ์ž๊ธฐ ํšŒ๊ณ ์  ๋ฐ์ดํ„ฐ11 2. ๋ฐ์ดํ„ฐ๋กœ ์„ฑ์ฐฐ์  ์‚ฌ๊ณ  ์ด‰๋ฐœ14 ์ œ 3 ์ ˆ โ€˜์‚ฌ์šฉ์ž ์ถ”์  ๊ธฐ๋กโ€™๋ฐ์ดํ„ฐ๊ฐ€ ์‚ฌ์šฉ ํ–‰๋™์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ 19 ์ œ 3 ์žฅ ์‚ฌ์šฉ ๊ธฐ๊ฐ„์— ๋”ฐ๋ฅธ ์‚ฌ์šฉ์ž์™€ ์ž๊ธฐ ์ถ”์ ๊ธฐ์˜ ๊ด€๊ณ„์˜ ์ „๊ฐœ23 ์ œ 1 ์ ˆ ์‚ฌ์šฉ์ž์™€ ์ž๊ธฐ ์ถ”์  ์‹œ์Šคํ…œ์˜ ๊ด€๊ณ„์  ์ ‘๊ทผ23 1. HCI ๊ด€์ ์œผ๋กœ23 ์ œ 2 ์ ˆ ์‚ฌ์šฉ์ž์™€ ์ž๊ธฐ ์ถ”์ ๊ธฐ์˜ ๊ด€๊ณ„ ํ˜•์„ฑ ๋‹จ๊ณ„25 1. ๋Œ€์ธ ์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜(interpersonal relationship)์˜ ๊ด€์ ์—์„œ ๊ด€๊ณ„ ํ˜•์„ฑ์˜ ๋‹จ๊ณ„25 2. ์‚ฌ์šฉ์ž์™€ ์ž๊ธฐ ์ถ”์ ๊ธฐ์˜ ๊ด€๊ณ„ ํ˜•์„ฑ ๋‹จ๊ณ„28 ์ œ 3 ์ ˆ ์‚ฌ์šฉ์ž์™€ ์ž๊ธฐ ์ถ”์ ๊ธฐ์˜ ์„ฑ์ฐฐ์  ๊ด€๊ณ„์˜ ๋‹จ๊ณ„32 1. ์„ฑ์ฐฐ์  ๊ด€๊ณ„ ํ˜•์„ฑ์˜ ๋‹จ๊ณ„์— ๊ด€ํ•œ ์—ฐ๊ตฌ๋“ค32 2. ์„ฑ์ฐฐ์  ๊ด€๊ณ„ ํ˜•์„ฑ์˜ ๋‹จ๊ณ„์™€ ๋‹จ๊ณ„๋ณ„ ํŠน์„ฑ39 2.1 ํƒ์ƒ‰41 2.2 ๊ฐ•ํ™”44 2.3 ์œ ์ง€46 ์ œ 4 ์žฅ ์—ฐ๊ตฌ ์„ค๊ณ„ ๋ฐ ๋ถ„์„ ์ ˆ์ฐจ49 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•์˜ ์„ ์ •: ์ฒด๊ณ„์  ๋ฌธํ—Œ ๊ณ ์ฐฐ49 1. ๋ถ„์„ ์‚ฌ๋ก€๋ฅผ ๋…ผ๋ฌธ์—์„œ ์ถ”์ถœํ•˜๋Š” ์ด์œ ?49 2. ์ฒด๊ณ„์  ๋ฌธํ—Œ ๊ณ ์ฐฐ49 ์ œ 2 ์ ˆ ๋…ผ๋ฌธ ๊ฒ€์ƒ‰๊ณผ ์„ ์ •51 1. ์‚ฌ๋ก€ ๋…ผ๋ฌธ ๊ฒ€์ƒ‰ ๋ฐ ์„ ์ •51 2. ์‚ฌ๋ก€ ๋…ผ๋ฌธ์˜ ์„ ์ •๊ณผ ๋ฐฐ์ œ์˜ ๊ธฐ์ค€51 3. ์„ ์ •๋œ ์‚ฌ๋ก€ ๋…ผ๋ฌธ์˜ ํ’ˆ์งˆ ํ‰๊ฐ€53 ์ œ 3 ์ ˆ ์ฃผ์ œ ๋ถ„์„55 1. ์ตœ์ข… ๋ถ„์„ ๋Œ€์ƒ ์—ฐ๊ตฌ์˜ ์ฃผ์ œ๋ณ„ ๋ถ„๋ฅ˜55 2. ๋ฐ์ดํ„ฐ ์ถ”์ถœ55 3. ์ฃผ์ œ ๋ถ„์„57 ์ œ 4 ์ ˆ ๋ฌธํ—Œ ๊ณ ์ฐฐ ํŒŒ์ผ๋Ÿฟ ์‹คํ–‰ 59 1. ์‹คํ–‰ ๊ฐœ์š”59 1.1 ์‹คํ–‰ ๋ชฉ์ ๊ณผ ๋ฐฉ๋ฒ•59 1.2 ๋ถ„์„ ๋ฐฉ๋ฒ•59 2. ์ฝ”๋”ฉ ๊ฒฐ๊ณผ60 2.1 ๋ฐ์ดํ„ฐ ๋‚ด์šฉ ํŠน์„ฑ๋ณ„ ์ฝ”๋”ฉ ๊ฒฐ๊ณผ ๋น„๊ต60 2.2 ๊ฒฝํ—˜ ์š”์ธ๋ณ„ ์ฝ”๋”ฉ ๊ฒฐ๊ณผ ๋น„๊ต67 3. ํ•œ๊ณ„68 ์ œ 5 ์ ˆ ๋ฌธํ—Œ ๊ณ ์ฐฐ ๋ณธ ์‹คํ–‰70 1. ์‹คํ–‰ ๊ฐœ์š”70 1.1 ์‹ ๋ขฐ์„ฑ ํ™•๋ณด70 1.2 ๋ถ„์„ํ‹€ ์ •๊ตํ™”73 2. ๋ถ„์„ ๋ฐฉ๋ฒ•73 ์ œ 5 ์žฅ ๊ฒฝํ—˜ ์š”์ธ๊ณผ ๋ฐ์ดํ„ฐ ๋‚ด์šฉ ํŠน์„ฑ ์š”์ธ์˜ ๊ด€๊ณ„75 ์ œ 1 ์ ˆ ๋ถ„์„ํ‹€75 1. ๋ฐ์ดํ„ฐ ๋‚ด์šฉ ํŠน์„ฃ75 2. ๊ฒฝํ—˜ ํŒ๋‹จ ์š”์ธ ์œ ํ˜•77 3. ์‚ฌ์šฉ์ž ์œ ํ˜•๊ณผ ์‚ฌ์šฉ ๊ธฐ๊ฐ„ ์š”์ธ80 ์ œ 2 ์ ˆ ์ฝ”๋”ฉ ๊ฒฐ๊ณผ82 1. ์•ˆ์ •๊ฐ(+)์ด ๊ฐ€์žฅ ํ˜„์ €ํ•œ ๊ฒฝํ—˜ ์š”์ธ 82 2. ์ž๊ธฐ ์ž๊ฐ(์•ˆ์ •๊ฐ 0)๊ณผ ์ž๊ธฐ ์ž๊ฐ ํ›„ ๋™๊ธฐ ์œ ๋ฐœ(์•ˆ์ •๊ฐ0, ์‹ ์ฒด ๊ฑด๊ฐ•+)84 3. ์ž์•„ ์กด์ค‘๊ฐ(+) 86 4. ์ฆ๊ฑฐ์›€-์ž๊ทน(+)87 5. ์ž์•„ ์กด์ค‘๊ฐ(-)88 6. ์‹ ์ฒด ๊ฑด๊ฐ•(-)/(0)89 7. โ€˜์‚ฌํšŒ์ โ€™ ์„ธ๋ถ€ ์š”์ธ ๋ฐ์ดํ„ฐ์˜ ์ œํ•œ์  ์—ญํ• 91 ์ œ 6 ์žฅ ์‚ฌ์šฉ์ž์™€ ์ž๊ธฐ ์ถ”์ ๊ธฐ์˜ ์„ฑ์ฐฐ์  ๊ด€๊ณ„ ํ˜•์„ฑ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ96 ์ œ 1 ์ ˆ ์‚ฌ์šฉ์ž์™€ ์ž๊ธฐ ์ถ”์ ๊ธฐ์˜ ์„ฑ์ฐฐ์  ๊ด€๊ณ„ ํ˜•์„ฑ ๋‹จ๊ณ„๋ณ„ ๋ฐ์ดํ„ฐ ๋‚ด์šฉ ํŠน์„ฑ 97 1. ํƒ์ƒ‰97 1.1 ํƒ์ƒ‰ ํ›„ ๊ฐ•ํ™”97 1.2 ํƒ์ƒ‰ ํ›„ ์ค‘๋‹จ99 2. ๊ฐ•ํ™”100 2.1 ๊ฐ•ํ™” ํ›„ ์œ ์ง€100 2.2 ๊ฐ•ํ™” ํ›„ ์ค‘๋‹จ102 3. ์œ ์ง€104 3.1 ์œ ์ง€ ๋ฐ ์œ ์ง€ ํ›„ ์ค‘๋‹จ104 3.2 ์œ ์ง€ ํ›„ ํƒ์ƒ‰106 ์ œ 2 ์ ˆ ๋ถ„์„ ์ข…ํ•ฉ ๋ฐ ๋ชจ๋ธ๋ง 108 ์ œ 7 ์žฅ ๊ฒฐ๋ก 112 ์ œ 1 ์ ˆ ์‚ฌ์šฉ์ž์™€ ์ž๊ธฐ ์ถ”์ ๊ธฐ์˜ ์ˆœํ™˜์  ๊ด€๊ณ„ ํ˜•์„ฑ์— ์ ์šฉ 112 ์ œ 2 ์ ˆ ์‹œ์‚ฌ์ 118 ์ œ 3 ์ ˆ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ 120 ์ œ 4 ์ ˆ ํ›„์† ์—ฐ๊ตฌ ๋ฐฉํ–ฅ 123 ์ฐธ๊ณ ๋ฌธํ—Œ124 ๋ถ€๋ก136 Abstract147๋ฐ•

    ๊ถŒ๋ ฅ๋ถ„๋ฆฝ์˜ ๊ด€์ ์—์„œ ๋ณธ ๊ฑด๊ฐ•ํ•œ ์‚ฌ๋ฒ•์  ์กด์ค‘: ํ•œ๊ตญ ํ—Œ๋ฒ• ์žฌํŒ์†Œ์˜ ๋…๋ฆฝ์„ฑ๊ณผ ์ฑ…์ž„์„ฑ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ •์น˜์™ธ๊ตํ•™๋ถ€ ์ •์น˜ํ•™์ „๊ณต, 2016. 8. ์†ก์ง€์šฐ.The role of the judiciary has expanded globally, particularly following the end of the Second World War, as a large number of former authoritarian regimes transitioned to democracies. With this expansion, the courts have become more active in their decision-making. In many democracies, courts are no longer completely restrained by the sword (executive) or the purse (legislature), but they have rather established themselves as a significant, independent and balancing political actor. With this change, scholars have raised their concerns about judicial supremacy and the judicialization of politics while questions about what determines independence in the judiciary and how to measure this independence still remain. In this regard, the central question has become how to balance judicial independence with accountability, as the two concepts appear incompatible. The co-existence of independence with the act of deference by the court to particular political actors reflects this incompatibility. While deference appears to be inherent in the understanding of independence, there lacks a concrete definition that resolves their contradictory existence. In order to bridge the gap between these two concepts, this study introduces the idea of healthy deference, which is the courts deference to the separation of powers rather than to any particular political actor or elite. The conditions of healthy deference require that there is generally no distinction between how the court renders its decision between social cases and those of political import. However, in cases involving both the legislature and the executive that concern the separation of powers, the court will take a moderate stance, thereby appear deferent. Yet, this deference is not to the will of one actor over the other. Rather, the decision rendered defers to the separation of powers and ensures that no actor, including the court itself, will gain more power than necessary for the balancing of power between the three primary branches of government. In order to better explain what healthy deference is and how it is compatible to judicial independence and accountability, this study examines the case of South Korea. Following a long period of Japanese colonial rule, South Korea had been grappling with judicial independence and how to delegate the powers of constitutional adjudication. While the basis for the current constitutional court can be found in the previous republics of Korea, it was only in 1988, following the transition to democracy and the establishment of the constitutional court that the once nominal powers of the judiciary became substantive powers. Following this transition, scholars have positively viewed South Koreas judicial independence. However, in comparison to other countries that transitioned to democracies around the same time, such as those in Eastern Europe and Latin America, the case of South Korea has not been studied at great lengths. Therefore, in order to add to the literature on South Korean judicial independence as well as to the literature on judicial independence and accountability, this paper first examines the 395 major case decisions rendered by the South Korean Constitutional Court between 1988 and 2014, to determine whether there is any discrepancy in the decision-making of the court between social and political cases. Then two particular cases that appeared in favor of the executive and were of national importance are also examined. The first case is the impeachment of the late former President Roh Moo Hyun, while the second is the dissolution of the Unified Progressive Party. Looking at these latter two cases, the application of healthy deference is then shown. The results indicate that while the court has rendered more constitutional decisions than unconstitutional ones, there is no noticeable difference in the decision-making between social and political cases. Even among the handful of cases involving disputes between governmental actors, it does not appear that actors at one level of government are favored in the decision-making of the court over governmental actors at another level of government. Furthermore, in the analysis of two nationally significant cases, it appears that the court rendered its decision based on the principle of healthy deference rather than due to influence from undue external or internal pressures. Therefore, looking at the results, this paper argues that the Constitutional Court of South Korea is judicially independent and defers to the separation of powers in its decision-making. Lastly, healthy deference also provides the basis for explaining why the executive and the legislature are willing to confer power to the judiciary when it means a decrease to their own powers. The courts application of healthy deference in its decision making gives political actors the basis on which they can determine how their case will fare if filed for review. The courts consistency in its decision-making and its deference to the separation of powers allows these political actors and elites to strategically behave and ensure the decision favours their interests.Chapter 1. Introduction 1 1.1. Research Background 1 1.2. The Purpose of the Study 7 1.3. The Research Question and Assumptions 9 1.4. The Structure of the Thesis 11 Chapter 2. Brief History of the South Korean Constitution and the Establishment of the Constitutional Court 13 Chapter 3. Literature Review 21 3.1. Measuring Judicial Independence 21 3.1.1. De Jure Judicial Independence 22 3.1.2. De Facto Judicial Independence 26 3.2. Judicial-Government Interaction 33 3.2.1. Fragmentation and Separation of Power 34 3.2.2. Strategic Actions of Political Actors: Insurance and Hegemonic Theory 36 3.2.3. The Strategic Actions of the Judiciary 40 3.3. The Public and Strategic Choice 44 3.4. Accountability and Judicial Independence 48 Chapter 4. Research Methods and Data 54 4.1. Methodology 54 4.1.1. Database of Major Case Decisions 56 4.1.2. Case Studies: Healthy Deference and Judicial Independence 61 Chapter 5. Results and Analysis: The Data 64 5.1. A Statistical Overview of the Cases 64 5.1.1. General Characteristics of Major Case Decisions 64 5.2. Decision Making and Independence 72 5.3. An Evaluation of the Judiciary 82 Chapter 6. Analysis of the Case Studies 86 6.1. Impeachment, Party Dissolution, and Healthy Deference 86 6.1.1. Impeachment of President Roh Moo Hyun (2004) 87 6.1.2. Dissolution of the Unified Progressive Party (2013) 97 6.1.3. Judicial Independence in the Constitutional Court: Healthy Deference of Dependence 110 Chapter 7. Conclusion 115 Bibliography 121 Appendix 133 Abstract (Korean) 137Maste

    ์—๋†€๋ ˆ์ด์ฆˆ-1์˜ ์ƒˆ๋กœ์šด ๋ฆฌ๊ฐ„๋“œ์ธ ์•„ํฌ์ง€์งˆ๋‹จ๋ฐฑ์งˆ B๊ฐ€ ๋ฅ˜๋งˆํ‹ฐ์Šค ๊ด€์ ˆ์—ผ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ์œตํ•ฉ๊ณผํ•™๊ธฐ์ˆ ๋Œ€ํ•™์› ๋ถ„์ž์˜ํ•™ ๋ฐ ๋ฐ”์ด์˜ค์ œ์•ฝํ•™๊ณผ, 2017. 8. ์†ก์˜์šฑ.Background: Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by systemic inflammatory process that eventually leads to joint destruction. Monocytes and synovial macrophages are key players in the inflammatory process of RA. Enolase-1 (ENO1) is a multifunctional glycolytic enzyme located in the cytoplasm of cells. It is also present on the cell surface as plasminogen receptor. The majority of cells expressing ENO1 in peripheral blood mononuclear cells (PBMCs) and synovial fluid mononuclear cells (SFMCs) derived from RA patients are known to be CD14-positive monocytes and macrophages. Objective: The objective of this study was to identify novel ENO1 binding protein present in RA synovial fluid and determine the functional role of interaction between apolipoprotein B (apoB), a novel ligand of cell surface expressed ENO1, and ENO1 in RA. Methods: ENO1 binding protein present in RA synovial fluid (SF) was identified by affinity-based mass spectrometry analysis. Interaction between ENO1 and apoB was evaluated by ligand blotting assay, ligand binding assay, surface plasmon resonance (SPR), and confocal microscopy. Production levels of pro-inflammatory cytokines in PBMCs from RA or healthy control (HC) after stimulation with apoB were evaluated by enzyme-linked immunosorbent assay (ELISA). Signaling pathways involved in the inductions of cytokines after stimulation with apoB were identified by using specific inhibitors. Pro-inflammatory effect of apoB was evaluated using K/BxN serum transfer arthritis mouse model. Results: Characterization of physical interaction between ENO1 and apoB showed that apoB was a novel ligand of ENO1. Interaction between surface ENO1 and apoB induced higher levels of pro-inflammatory cytokines in RA PBMCs compared to that in HC PBMCs. Intracellular p38 MAPK and NF-ฮบB pathways were found to be key signaling pathways upon ENO1 activation. In K/BxN serum transfer arthritis mouse model, apoB aggravated arthritis severity. Moreover, apoB derived peptides showed agonistic or antagonistic actions. Conclusion: ApoB is a novel ligand of ENO1. It might enhance chronic inflammation in RA patients.Introduction 1 Materials and Methods 4 Results 12 Discussion 40 Conclusion 46 References 47 List of abbreviations 55 Abstract of Korean 57Docto
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