3 research outputs found

    From Perspective of Motivation, Value, and Commitment

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ฒฝ์˜๋Œ€ํ•™ ๊ฒฝ์˜ํ•™๊ณผ, 2022. 8. ๋ฐ•์ง„์ˆ˜.The coronavirus (COVID-19) pandemic has led to a substantial change in our life. Due to lockdown and social distancing policy implementation world-widely, the performing arts and concert industry. During the long pandemic continuation, the performing arts industry has started to make their contents in an online form. Also, they have started to make collaboration with Over-The-Top (OTT) video platforms such as YouTube, Netflix, and Amazon Prime Video and make this to breakthrough in their new era of performance. We investigated how an individualโ€™s motivation and value of watching online performance affect commitment during watching. Consequently, how this combined effect of commitment affects satisfaction for online performance. This cross-sectional study was based on an internet survey using Google forms. The survey questions were created based on the Technological Acceptance Model(TAM), Self-Determination Theory (SDT), and the theory of consumption value. The motivation for watching the performance was evaluated using a questionnaire to divide the population into three restriction categories: no/slightly, moderately, and severely. The individualโ€™s value of watching the performance was evaluated using a questionnaire to divide the population into five levels of restriction categories. The consequences of commitment and satisfaction were assessed. Firstly, frequency analysis was used to study on demographic characteristics of individuals by their primary platform to watch an online performance. Secondly, to test reliability and confidentiality for commitment and satisfaction on online performance, the factor analysis, which is PLS and reliability are implemented. Thirdly, implementing SEM to obtain estimates of coefficients to see its magnitude of impact and testing the hypothesis of their significance. Factor analysis showed that the driven research model with the questionnaire and provided data were validated to measure the specific magnitude of influences using SEM. By performing SEM analysis, the study found out that the motivation and individual value of watching a performance online were influential to being in a committed state and consequently be satisfactory on performance. The constructs of the derived model were reported as all statistically significant at the significance level of 0.01. The model fitted value was also satisfiable at 0.9. We verified that the individualโ€™s motivation and value have a significant positive impact on commitment and following satisfaction. Thus, the study has shown the positive impact of an individualโ€™s motivation and value of watching a performance on commitment through an online platform. Consequently, the combined effect through commitment on satisfaction. There were several limitations: dense distribution aged 20-40, without considering individual and OTT characteristics, cross-sectional study, and subjective choice of a survey. In that, further research can be studied and considered those limitations in the future.์ฝ”๋กœ๋‚˜ ๋ฐ”์ด๋Ÿฌ์Šค์™€ ์ „์„ธ๊ณ„์ ์ธ ๋Œ€์œ ํ–‰ ํ˜„์ƒ์€ ์ผ์ • ๊ธฐ๊ฐ„ ๋™์•ˆ ๊ฐœ์ธ์˜ ์‚ถ์˜ ๋ฐฉ์‹์— ์ƒ๋‹น๋ถ€๋ถ„ ์˜ํ–ฅ์„ ์ฃผ์—ˆ๋‹ค. ๊ฐ•ํ•œ ์ „์—ผ์„ฑ๊ณผ ํ›„์œ ์ฆ์œผ๋กœ ์ „์„ธ๊ณ„์ ์ธ ๋ด‰์‡„ ํ˜„์ƒ๊ณผ ์ •๋ถ€์˜ ์‚ฌํšŒ์  ๊ฑฐ๋ฆฌ๋‘๊ธฐ ์ •์ฑ… ๋ฐฉ์นจ ๋“ฑ์œผ๋กœ ์ธํ•ด ์‚ฌ๋žŒ๋“ค์ด ๋Œ€์™ธํ™œ๋™์ด ์ค„๊ณ , ์ง‘์— ๋จธ๋ฌด๋ฅด๊ฒŒ ๋˜๋Š” ์‹œ๊ฐ„์ด ๋งŽ์•„์ง€๋ฉด์„œ ์ž์˜์—…๊ณผ ํŠน์ • ์‚ฐ์—…๊ตฐ ๋“ฑ์— ๋งŽ์€ ์•…ํ™”์ผ๋กœ(ๆƒกๅŒ–ไธ€่ทฏ)๋ฅผ ๊ฐ€์ ธ๋‹ค ์ฃผ์—ˆ๋‹ค. ํŠนํžˆ, ๊ณต์—ฐ์—…๊ณ„์˜ ๊ฒฝ์šฐ ์‹ค์ œ๋กœ ๋ณด๋Š” ํ˜„์žฅ๊ฐ๊ณผ ๋ฌด๋Œ€๋ผ๋Š” ํŠน์„ฑ ๋•Œ๋ฌธ์— ๊ณต์—ฐ ์ „๋ฐ˜์— ๋Œ€ํ•œ ๊ฐ์†Œ๋œ ์ˆ˜์š”์™€ ๋งค์ถœ ๊ฐ์†Œ๋กœ ์ธํ•œ ์–ด๋ ค์›€์„ ๊ฒช์€ ๋ฐ” ์žˆ๋‹ค. ์žฅ๊ธฐํ™”๋œ ์ฝ”๋กœ๋‚˜ ๋Œ€์œ ํ–‰ ํ˜„์ƒ์€ ์ƒˆ๋กœ์šด ํ˜•ํƒœ์˜ ์˜จ๋ผ์ธ ๊ณต์—ฐ ์ปจํ…์ธ ๋ฅผ ๋“ฑ์žฅ์‹œ์ผฐ๋‹ค. ๋˜ํ•œ ์œ ํˆฌ๋ธŒ(YouTube), ๋„ทํ”Œ๋ฆญ์Šค(Netflix) ๋ฐ ์•„๋งˆ์กด ํ”„๋ผ์ž„ ๋น„๋””์˜ค(Amazon Prime Video)์™€ ๊ฐ™์€ OTT(Over-The-Top) ๋™์˜์ƒ ํ”Œ๋žซํผ๊ณผ์˜ ํ˜‘์—…์„ ํ†ตํ•ด ๋‰ด๋…ธ๋ฉ€ (New-Normal) ์‹œ๋Œ€์— ๋Œ€ํ•œ ๋ŒํŒŒ๊ตฌ๋ฅผ ๋งˆ๋ จํ•˜๊ณ ์ž ํ–ˆ๋‹ค. ํ•œํŽธ, ์œ„์™€ ๊ฐ™์€ ํ˜„์ƒ์œผ๋กœ ์ธํ•ด ๋‹ค์–‘ํ•œ ํ˜•ํƒœ์˜ ์˜จ๋ผ์ธ์„ ์ด์šฉํ•œ ๊ต์œก, ์˜๋ฃŒ, ์žฌํƒ๊ทผ๋ฌด ์‹œ์Šคํ…œ๊ณผ ์†Œํ”„ํŠธ์›จ์–ด์— ๋Œ€ํ•œ ์—ฐ๊ตฌ ๋˜ํ•œ ์ƒ๋‹น ๋ถ€๋ถ„ ๋“ฑ์žฅํ•˜์˜€๋‹ค. ๋ฐ˜๋ฉด, ์˜จ๋ผ์ธ ๊ณต์—ฐ๊ณผ ๊ด€๋ จ๋œ ์—ฐ๊ตฌ๋Š” ์ด๋ก ์  ๋ฐฐ๊ฒฝ์ด ๋ฏธ์•ฝํ•˜๊ฑฐ๋‚˜, ์งˆ์  ์—ฐ๊ตฌ๊ฐ€ ์ฃผ๋ฅผ ์ด๋ค˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ธฐ์ˆ ์ˆ˜์šฉ์ด๋ก , ์ž๊ธฐ๊ฒฐ์ •์ด๋ก , ๊ทธ๋ฆฌ๊ณ  ์†Œ๋น„๊ฐ€์น˜์ด๋ก ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ์„ค๋ฌธ์กฐ์‚ฌ ๋ฌธํ•ญ์„ ๋งŒ๋“ค์–ด ์ด์— ๋Œ€ํ•œ ๊ด€๊ณ„์„ฑ์— ๋Œ€ํ•œ ์‘๋‹ต์„ ๋‹ค์„ฏ๊ฐ€์ง€ ๋‹จ๊ณ„์˜ ๋ฒ”์ฃผ๋กœ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ์กฐ์‚ฌํ•œ ๋ฐ์ดํ„ฐ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์•„๋ž˜์™€ ๊ฐ™์€ ๋ถ„์„์„ ์‹œํ–‰ํ•˜์˜€๋‹ค. ์ฒซ์งธ, ๋นˆ๋„ ๋ถ„์„์„ ์‚ฌ์šฉํ•˜์—ฌ ์˜จ๋ผ์ธ ๊ณต์—ฐ์„ ์‹œ์ฒญํ•˜๋Š” ๊ฐœ์ธ์˜ ์ฃผ์š” ํ”Œ๋žซํผ๋ณ„ ์ธ๊ตฌํ†ต๊ณ„ํ•™์  ํŠน์„ฑ๊ณผ ์ผ๋ฐ˜์ ์ธ ๊ณต์—ฐ๊ด€๋žŒ ํ–‰๋™์–‘์ƒ์„ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ๋‘˜์งธ, ์˜จ๋ผ์ธ ์„ฑ๊ณผ์— ๋Œ€ํ•œ ๋ชฐ์ž…๋„์™€ ๋งŒ์กฑ๋„์— ๋Œ€ํ•œ ์‹ ๋ขฐ๋„์™€ ํƒ€๋‹น๋„๋ฅผ ๊ฒ€์ •ํ•˜๊ธฐ ์œ„ํ•ด ์š”์ธ๋ถ„์„, PLS ๋ฐฉ์‹์„ ํ†ตํ•ด ์ด๋ฅผ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ์„ธ ๋ฒˆ์งธ๋กœ, ๊ตฌ์กฐ๋ฐฉ์ •์‹ ๋ชจํ˜•์„ ํ†ตํ•ด ๊ฐ€์„ค์˜ ์œ ์˜ํ•จ๊ณผ ๋ณ€์ˆ˜๋“ค์˜ ์˜ํ–ฅ์„ฑ์˜ ํฌ๊ธฐ๋ฅผ ๊ฒ€์ •ํ•˜์˜€๋‹ค. ์š”์ธ ๋ถ„์„์€ ์„ค๋ฌธ์ง€์™€ ์ œ๊ณต๋œ ๋ฐ์ดํ„ฐ๊ฐ€ ํฌํ•จ๋œ ์ฃผ๋„ ์—ฐ๊ตฌ ๋ชจ๋ธ์ด ๊ตฌ์กฐ๋ฐฉ์ •์‹ ๋ชจํ˜•์„ ์‚ฌ์šฉํ•˜์—ฌ ์˜ํ–ฅ์˜ ํŠน์ • ํฌ๊ธฐ๋ฅผ ์ธก์ •ํ•˜๊ธฐ ์œ„ํ•ด ๊ฒ€์ฆ๋˜์—ˆ์Œ์„ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค. ๊ตฌ์กฐ๋ฐฉ์ •์‹ ๋ชจํ˜•๋ถ„์„์„ ํ†ตํ•ด ์˜จ๋ผ์ธ์œผ๋กœ ๊ณต์—ฐ์„ ๊ด€๋žŒํ•˜๋Š” ๋™๊ธฐ์™€ ๊ฐœ์ธ์  ๊ฐ€์น˜๊ฐ€ ๋ชฐ์ž… ์ƒํƒœ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๊ณ , ๊ฒฐ๊ณผ์ ์œผ๋กœ ์œ„์˜ ๋‘ ๊ฐ€์ง€ ์š”์ธ์ด ๊ฒฐํ•ฉ๋œ ๋ชฐ์ž… ํšจ๊ณผ๊ฐ€ ์˜จ๋ผ์ธ ์„ฑ๋Šฅ์— ๋Œ€ํ•œ ๋งŒ์กฑ๋„์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ณด์ด๋Š” ๊ฒƒ์„ ๋ณธ ์—ฐ๊ตฌ์—์„œ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๊ฐ๊ฐ์˜ ์š”์ธ ๋ณ„ ๋ชจํ˜•๋ถ„์„์€ ๋ชจ๋‘ 0.01์˜ ์œ ์˜ ์ˆ˜์ค€์—์„œ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ๊ฒƒ์œผ๋กœ ๋ณด๊ณ ๋˜์—ˆ๋‹ค. ๋ชจํ˜• ์ ํ•ฉ์น˜ ์—ญ์‹œ 0.9๋กœ ์ž„๊ณ„์ˆ˜์ค€์„ ๋„˜์–ด ๋ณธ ์—ฐ๊ตฌ๊ฒฐ๊ณผ์˜ ์ ํ•ฉ๋„ ๋˜ํ•œ ์œ ์˜ํ•จ์„ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค. ๋‹ค๋งŒ, ๋ณธ ์—ฐ๊ตฌ์—๋„ ๋ช‡ ๊ฐ€์ง€ ํ•œ๊ณ„์ ์ด ์กด์žฌํ•œ๋‹ค. ์กฐ์‚ฌ๋Œ€์ƒ์ด ํŠน์ • ์—ฐ๋ น๋Œ€ (20-40๋Œ€)์— ์ƒ๋‹น๋ถ€๋ถ„ ๋ฐ€์ง‘๋˜์–ด ์žˆ์—ˆ๊ณ , ์„ค๋ฌธ์กฐ์‚ฌ์˜ ํŠน์„ฑ์ƒ ์ฃผ๊ด€์  ์„ ํƒ์ด ๊ฐœ์ž…๋˜์ง€ ์•Š์„ ์ˆ˜ ์—†๋‹ค. ์กฐ์‚ฌ๋œ ๊ฐœ์ธ์˜ ํŠน์„ฑ์— ๋”ฐ๋ผ ๋‹ค๋ฅธ ๊ฒฐ๊ณผ์— ๋Œ€ํ•œ ์‘๋‹ต์˜ ํŽธ์˜๋ฅผ ๊ณ ๋ คํ•˜์ง€ ๋ชปํ•˜์˜€๋‹ค. ๋˜ํ•œ, ์˜จ๋ผ์ธ ํ”Œ๋žซํผ๋ณ„๋กœ ๋‹ค๋ฅธ ์‹œ์Šคํ…œ๊ณผ ์„œ๋น„์Šค๋ฅผ ์ œ๊ณตํ•˜๋Š” ์  ๋“ฑ์—์„œ ์ถ”ํ›„์— ๋” ๋งŽ์€ ์„ค๋ฌธ ์ฐธ๊ฐ€์ž๋“ค๋กœ ์ด๋Ÿฌํ•œ ๋ถ€๋ถ„๋“ค๊นŒ์ง€ ๊ณ ๋ คํ•œ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•  ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค.ABSTRACT 1 1 INTRODUCTION 4 2 BACKGROUND RESEARCH 6 2.1 Theoretical Framework 6 2.2 The Definition and Characteristics of OTT 8 2.3 The Global and South Korean OTT Market 9 2.4 Range of Online Performances Provided by Platforms 13 3 DATA 17 3.1 Data Collection 17 3.2 Basic Statistics and Characteristics 18 4 METHODOLOGY 21 4.1 Model Assessment and Adequacy of Questionnaire 22 4.2 PLS-SEM 23 4.3 Model Fit Criteria 24 5 RESULTS 26 5.1 Model Reliability, Sampling Adequacy, and Validity 26 5.2 Discriminant Validity 28 5.3 Hypotheses Testing Result 29 6 CONCLUSION AND DISCUSSION 31 7 REFERENCES 34 SUPPLEMENTARY MATERIALS 39 S1: Original survey questionnaire in English 39 S2: Extensive results of each questionnaire and effect of constructs 41 ๊ตญ๋ฌธ์ดˆ๋ก 48์„

    ํ—ˆ๊ตฌ์— ๋Œ€ํ•œ ๊ฐ์ •๋ฐ˜์‘ ์„ค๋ช…๋ชจ๋ธ๋กœ์„œ์˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์ด๋ก  ๊ณ ์ฐฐ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๋ฏธํ•™๊ณผ,2006.Maste
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