39 research outputs found

    The Study of the User Acceptance and Site Characteristics for m-learning

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    ๊ตญ๋‚ด ์Šค๋งˆํŠธํฐ์˜ ๋ณด๊ธ‰์ด ํ™œ์„ฑํ™” ๋˜๋ฉด์„œ m-๋Ÿฌ๋‹ ์‹œ์žฅ์€ ์„ฑ์žฅํ•˜๊ฒŒ ๋˜์—ˆ์œผ๋ฉฐ ๊ต์œก์—…์ฒด๋“ค์€ m-๋Ÿฌ๋‹ ์‹œ์žฅ์— ๋งŽ์€ ๊ด€์‹ฌ์„ ๋ณด์ด๊ธฐ ์‹œ์ž‘ํ•˜์˜€๋‹ค. m-๋Ÿฌ๋‹์€ ์–ธ์ œ ์–ด๋””์—์„œ๋‚˜ ๋ชจ๋ฐ”์ผ ๊ธฐ๊ธฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ํ•™์Šต์„ ํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์–ดํ•™ ๋ฐ ์ง๋ฌด ๊ต์œก ๋“ฑ์˜ ๋‹ค์–‘ํ•œ ์„œ๋น„์Šค์— ํ™œ์šฉ๋  ์ˆ˜ ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋ฏ€๋กœ ๋ณธ ์—ฐ๊ตฌ๋Š” m-๋Ÿฌ๋‹์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜๋ ค๊ณ  ํ•œ๋‹ค. ์ฒซ์งธ, ์‹ ๋ขฐ ํ˜•์„ฑ ์š”์ธ์„ m-๋Ÿฌ๋‹ ์‚ฌ์ดํŠธ ํŠน์„ฑ์œผ๋กœ ๊ทœ๋ช…ํ•˜๊ณ , ์‚ฌ์ดํŠธ ๋ช…์„ฑ, ์‚ฌ์ดํŠธ ๊ทœ๋ชจ, ์‚ฌ์ดํŠธ ํ’ˆ์งˆ๊ณผ ์‹ ๋ขฐ์™€์˜ ๊ด€๊ณ„๋ฅผ ์ฆ๋ช…ํ•œ๋‹ค. ๋‘˜์งธ, ํ™•์žฅ๋œ TAM์—์„œ ๊ณ ๋ ค๋˜๊ณ  ์žˆ๋Š” ์‹ ๋ขฐ, ์ง€๊ฐ๋œ ์œ ์šฉ์„ฑ, ์ง€๊ฐ๋œ ์ด์šฉ์šฉ์ด์„ฑ, ํƒœ๋„, ์˜๋„์™€์˜ ๊ด€๋ จ์„ฑ์„ ์‚ดํŽด๋ณธ๋‹ค. m-๋Ÿฌ๋‹ ํ•™์Šต ๊ฒฝํ—˜์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์„ค๋ฌธ์„ ์ˆ˜ํ–‰ํ•˜์˜€๊ณ , 189๋ถ€์˜ ์„ค๋ฌธ์ง€๋ฅผ ํšŒ์ˆ˜ํ•˜์˜€์œผ๋ฉฐ, ๊ตฌ์กฐ๋ฐฉ์ •์‹ ๋ชจํ˜•์œผ๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค. ๋ถ„์„๊ฒฐ๊ณผ, ์‚ฌ์ดํŠธ ๋ช…์„ฑ์€ ์‹ ๋ขฐ์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ๋ ฅ์„ ๊ฐ€์กŒ์ง€๋งŒ, ์‚ฌ์ดํŠธ ๊ทœ๋ชจ์™€ ํ’ˆ์งˆ์€ ์‹ ๋ขฐ์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น˜์ง€ ๋ชปํ•˜์˜€๋‹ค. ์ง€๊ฐ๋œ ์ด์šฉ์šฉ์ด์„ฑ์€ ์ง€๊ฐ๋œ ์œ ์šฉ์„ฑ์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์ณค์ง€๋งŒ, ์ง€๊ฐ๋œ ์œ ์šฉ์„ฑ์€ ์‹ ๋ขฐ์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ๋ ฅ์„ ๋ฏธ์น˜์ง€ ๋ชปํ•˜์˜€๋‹ค. ์‹ ๋ขฐ, ์ง€๊ฐ๋œ ์œ ์šฉ์„ฑ, ์ง€๊ฐ๋œ ์ด์šฉ์šฉ์ด์„ฑ์€ ํƒœ๋„์— ์ •(+)์˜ ์˜ํ–ฅ์„ ๋ฏธ์ณค๊ณ , ํƒœ๋„๋Š” ์˜๋„์— ์ •(+)์˜ ์˜ํ–ฅ์„ ๋ฏธ์ณค๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋Š” m-๋Ÿฌ๋‹ ๊ด€๋ จ ์—…์ฒด๋“ค์—๊ฒŒ ๋‹ค์–‘ํ•œ ์‹œ์‚ฌ์ ์„ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค.Because of growth on the smart phone markets in South Korea, we analysis the relationship among the site reputation, site size, site quality and trust for m-learning. And this study investigates among the trust, perceived usefulness, perceived ease of use, attitude, and intention for m-learning. This study performed a survey and 189 m-learning users were used for statistical analysis. The results of this study are as follows. First, the reputation had a positive effect on the trust, but the site size and site quality didnโ€™t have an effect on the trust. Second, the perceived ease of use had a positive influence on the perceived usefulness, but the perceived usefulness didn't have an influence on the trust. Third, the trust, perceived usefulness, and perceived ease of use had an effect the attitude, and the attitude had a positive effect on the intention. This results would provide useful information for many companies relating m-learning

    Factors Affecting the Continuous Use Intention of E-learning Site

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    ๋ณธ ์—ฐ๊ตฌ๋Š” Davis, Bagozzi & Warshaw(1989)๊ฐ€ ์ œ์•ˆํ•œ TAM์„ ๊ธฐ๋ฐ˜์œผ๋กœ ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€์œผ๋ฉฐ ์œ ํฌ์„ฑ, ์ •๋ณดํ’๋ถ€์„ฑ, ์ ํ•ฉ์„ฑ, ์ž๊ธฐํšจ๋Šฅ๊ฐ์ด๋ผ๋Š” ์ด๋Ÿฌ๋‹ ์‚ฌ์ดํŠธ ํŠน์„ฑ์ด ์ง€์†์ ์ธ ์ด์šฉ์˜๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ๋ ฅ์„ ์‚ดํŽด๋ณด๊ธฐ ์œ„ํ•˜์—ฌ ์‹ค์ฆ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ์„ ํ–‰์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ์—ฐ๊ตฌ๋ชจํ˜•์„ ์„ค๊ณ„ํ•˜์˜€์œผ๋ฉฐ, ๋ชจํ˜•์„ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•ด์„œ ์ด๋Ÿฌ๋‹ ์‚ฌ์ดํŠธ ์ด์šฉ์ž ๋Œ€์ƒ์˜ ์„ค๋ฌธ์กฐ์‚ฌ๋ฅผ ์‹ค์‹œํ•˜์—ฌ ๊ตฌ์กฐ๋ฐฉ์ •์‹๋ชจํ˜•์œผ๋กœ ๊ฐ€์„ค์„ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ๋ถ„์„ ๊ฒฐ๊ณผ, ์œ ํฌ์„ฑ, ์ ํ•ฉ์„ฑ, ์ž๊ธฐํšจ๋Šฅ๊ฐ์€ ์ง€๊ฐ๋œ ์œ ์šฉ์„ฑ์— ์ •(๏ผ‹)์˜ ์˜ํ–ฅ๋ ฅ์„ ๊ฐ€์ง€๊ณ , ์ž๊ธฐํšจ๋Šฅ๊ฐ์€ ์ง€๊ฐ๋œ ์‚ฌ์šฉ ์šฉ์ด์„ฑ์— ์ •(๏ผ‹)์˜ ์˜ํ–ฅ์„ ๊ฐ€์กŒ๋‹ค. ๋˜ํ•œ ์ง€๊ฐ๋œ ์œ ์šฉ์„ฑ, ์ง€๊ฐ๋œ ์‚ฌ์šฉ ์šฉ์ด์„ฑ, ์ง€๊ฐ๋œ ์‹ ๋ขฐ์„ฑ์€ ์ง€์†์ ์ธ ์ด์šฉ์˜๋„์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์ณค์œผ๋ฉฐ, ์ง€๊ฐ๋œ ์‚ฌ์šฉ ์šฉ์ด์„ฑ์€ ์ง€๊ฐ๋œ ์‹ ๋ขฐ์„ฑ์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น˜๊ณ  ์žˆ์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ด๋Ÿฌ๋‹ ์‚ฌ์ดํŠธ๋ฅผ ๊ตฌ์ถ•ํ•˜์—ฌ ์„œ๋น„์Šค๋ฅผ ์ œ๊ณตํ•˜๊ณ ์ž ํ•˜๋Š” ์‚ฌ์—…์ž์—๊ฒŒ ์œ ์šฉํ•œ ์ •๋ณด๋ฅผ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค.This study analyzed the continuous use intention of the e-learning site based on the technology acceptance model(TAM) of the Davis et al.(1989). In this study, we investigated the characteristics of the e-learning site such as enjoyment, information richness, compatibility, self-efficacy. We proposed a model of technology acceptance to investigate the relationship between external variables and individual acceptance of e-learning site. This model was tested using data gathered from 203 users of e-learning site. The structural equation modeling technique was used to evaluate the causal model and confirmatory factor analysis was performed to examine the reliability and validity of the measurement. The major results of this study are as follows. The enjoyment, compatibility, and self-efficacy had positive influences on the perceived usefulness, and the self-efficacy had positive influence on the perceived ease of use. The perceived ease of use had a positive effect on perceived credibility, and the perceived usefulness, perceived ease of use and perceived credibility had some positive effect on continuous use intention. When it consider the market share or the growth potential of the e-learning industry, this research results will be able to utilize as the basic information of an industry

    Factors Affecting the Continuous Use Intention of E-learning Site

    No full text
    ๋ณธ ์—ฐ๊ตฌ๋Š” Davis, Bagozzi & Warshaw(1989)๊ฐ€ ์ œ์•ˆํ•œ TAM์„ ๊ธฐ๋ฐ˜์œผ๋กœ ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€์œผ๋ฉฐ ์œ ํฌ์„ฑ, ์ •๋ณดํ’๋ถ€์„ฑ, ์ ํ•ฉ์„ฑ, ์ž๊ธฐํšจ๋Šฅ๊ฐ์ด๋ผ๋Š” ์ด๋Ÿฌ๋‹ ์‚ฌ์ดํŠธ ํŠน์„ฑ์ด ์ง€์†์ ์ธ ์ด์šฉ์˜๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ๋ ฅ์„ ์‚ดํŽด๋ณด๊ธฐ ์œ„ํ•˜์—ฌ ์‹ค์ฆ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ์„ ํ–‰์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ์—ฐ๊ตฌ๋ชจํ˜•์„ ์„ค๊ณ„ํ•˜์˜€์œผ๋ฉฐ, ๋ชจํ˜•์„ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•ด์„œ ์ด๋Ÿฌ๋‹ ์‚ฌ์ดํŠธ ์ด์šฉ์ž ๋Œ€์ƒ์˜ ์„ค๋ฌธ์กฐ์‚ฌ๋ฅผ ์‹ค์‹œํ•˜์—ฌ ๊ตฌ์กฐ๋ฐฉ์ •์‹๋ชจํ˜•์œผ๋กœ ๊ฐ€์„ค์„ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ๋ถ„์„ ๊ฒฐ๊ณผ, ์œ ํฌ์„ฑ, ์ ํ•ฉ์„ฑ, ์ž๊ธฐํšจ๋Šฅ๊ฐ์€ ์ง€๊ฐ๋œ ์œ ์šฉ์„ฑ์— ์ •(๏ผ‹)์˜ ์˜ํ–ฅ๋ ฅ์„ ๊ฐ€์ง€๊ณ , ์ž๊ธฐํšจ๋Šฅ๊ฐ์€ ์ง€๊ฐ๋œ ์‚ฌ์šฉ ์šฉ์ด์„ฑ์— ์ •(๏ผ‹)์˜ ์˜ํ–ฅ์„ ๊ฐ€์กŒ๋‹ค. ๋˜ํ•œ ์ง€๊ฐ๋œ ์œ ์šฉ์„ฑ, ์ง€๊ฐ๋œ ์‚ฌ์šฉ ์šฉ์ด์„ฑ, ์ง€๊ฐ๋œ ์‹ ๋ขฐ์„ฑ์€ ์ง€์†์ ์ธ ์ด์šฉ์˜๋„์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์ณค์œผ๋ฉฐ, ์ง€๊ฐ๋œ ์‚ฌ์šฉ ์šฉ์ด์„ฑ์€ ์ง€๊ฐ๋œ ์‹ ๋ขฐ์„ฑ์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น˜๊ณ  ์žˆ์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ด๋Ÿฌ๋‹ ์‚ฌ์ดํŠธ๋ฅผ ๊ตฌ์ถ•ํ•˜์—ฌ ์„œ๋น„์Šค๋ฅผ ์ œ๊ณตํ•˜๊ณ ์ž ํ•˜๋Š” ์‚ฌ์—…์ž์—๊ฒŒ ์œ ์šฉํ•œ ์ •๋ณด๋ฅผ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค.This study analyzed the continuous use intention of the e-learning site based on the technology acceptance model(TAM) of the Davis et al.(1989). In this study, we investigated the characteristics of the e-learning site such as enjoyment, information richness, compatibility, self-efficacy. We proposed a model of technology acceptance to investigate the relationship between external variables and individual acceptance of e-learning site. This model was tested using data gathered from 203 users of e-learning site. The structural equation modeling technique was used to evaluate the causal model and confirmatory factor analysis was performed to examine the reliability and validity of the measurement. The major results of this study are as follows. The enjoyment, compatibility, and self-efficacy had positive influences on the perceived usefulness, and the self-efficacy had positive influence on the perceived ease of use. The perceived ease of use had a positive effect on perceived credibility, and the perceived usefulness, perceived ease of use and perceived credibility had some positive effect on continuous use intention. When it consider the market share or the growth potential of the e-learning industry, this research results will be able to utilize as the basic information of an industry
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