365 research outputs found

    Developing Firm Capability through IT Resources Deployed in Inter-organizational Relationships

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    This study attempts to explain how physical and human IT resources deployed in inter-organizational relationships (IORs)affect IT-enabled capabilities of a firm. We classify the IT enabled-capability into two types such as relational-specificknowledge management (RKM) capability and absorptive capacity. In addition, this study suggests that RKM capability andabsorptive capacity lead to increased firm performance. Finally, we test the relationship of RKM capability and absorptivecapacity. A total of 119 responses were used for analysis. Our results demonstrate that a firm reinforces its capabilities suchas RKM capability and absorptive capacity by leveraging physical and human IT resources dedicated in IORs. This impliesthat IT resources in IORs play a key role in developing further capabilities related to improved firm performance.Furthermore, RKM capability developed in IORs directly affects absorptive capacity of a firm. Thus, firms make a constanteffort to develop IT-enabled capabilities beyond the deployment of IT in IORs

    Enhancing Customer Response Capability through Organizational Knowledge Resources in Service Encounters

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    Considering that a firmโ€™s service competitiveness comes from customer service representatives (CSRs)โ€™ capability, it is essential to enhance their capability first to create superior customer service. Accordingly, this study provides a way of creating CSRsโ€™ capability by proving how organizational knowledge accumulated in knowledge management systems influences their customer response expertise and speed. Moreover, drawing on studies of organization memory (OM), it is defined by the three dimensions of OM level, OM dispersion, and OM usability. To test the proposed model and hypotheses, this study conducted the structural equation modeling analysis using a total of 373 responses collected on CSRs. The results indicate that both OM level and dispersion greatly increase customer response expertise. Besides, OM level, dispersion, and usability enhance customer response speed. Particularly, OM usability is the most effective in improving customer response speed. Finally, CSRsโ€™ service performance depends on customer response expertise and speed

    ํ•œ๊ตญ ์„ฑ์ธ์—์„œ์˜ ๋น„๋งŒ์ง€ํ‘œ์™€ ์ธ์ง€๊ธฐ๋Šฅ ๋ณ€ํ™”์˜ ์—ฐ๊ด€์„ฑ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๋ณด๊ฑด๋Œ€ํ•™์› ๋ณด๊ฑดํ•™๊ณผ(๋ณด๊ฑดํ•™์ „๊ณต), 2023. 2. Sung-il Cho.์„œ๋ก  ๋…ธํ™”๋Š” ์ง€์  ๋Šฅ๋ ฅ ์ €ํ•˜, ๊ฐ๊ฐ ๊ธฐ๋Šฅ ์ €ํ•˜, ์ •์„œ์  ๋ฐ˜์‘ ๊ฐ์†Œ๋ฅผ ๋™๋ฐ˜ํ•œ๋‹ค. ์ „ ์„ธ๊ณ„์—์„œ 60์„ธ ์ด์ƒ ์„ฑ์ธ์˜ ์น˜๋งค ์œ ๋ณ‘๋ฅ ์€ ์•ฝ 5-7%์ด๋‹ค. 2018๋…„์—๋Š” ์ „ ์„ธ๊ณ„์ ์œผ๋กœ 5์ฒœ๋งŒ ๋ช…์ด ์น˜๋งค์— ๊ฑธ๋ฆฐ ๊ฒƒ์œผ๋กœ ์ถ”์‚ฐ๋˜์—ˆ์œผ๋ฉฐ, 2050๋…„์—๋Š” ๊ทธ ์ˆ˜๊ฐ€ 3๋ฐฐ๋กœ ์ฆ๊ฐ€ํ•  ๊ฒƒ์œผ๋กœ ์˜ˆ์ƒ๋œ๋‹ค. ์น˜๋งค๋Š” ์‚ฌ๋ง๋ฅ ์˜ ์ฃผ์š” ์›์ธ์ด๋ฉฐ ๋†’์€ ์˜๋ฃŒ ๋น„์šฉ์ด ์ˆ˜๋ฐ˜๋œ๋‹ค๋Š” ์‚ฌ์‹ค ๋•Œ๋ฌธ์— ์ธ์ง€๊ธฐ๋Šฅ์„ ๊ฐ์†Œ์‹œํ‚ค๋Š” ์˜ˆ๋ฐฉ ๋ฐ ์ค‘์žฌ ์กฐ์น˜๊ฐ€ ํ•„์ˆ˜์ ์ด๋‹ค. ์ธ์ง€์ €ํ•˜์—๋Š” ์—ฌ๋Ÿฌ ์ธ๊ตฌยท์‚ฌํšŒํ•™์  ํŠน์„ฑ๊ณผ ๊ฑด๊ฐ• ์Šต๊ด€์ด ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค. ์—ฌ๊ธฐ์—๋Š” ๋‚˜์ด, ์†Œ๋“, ๊ต์œก์ˆ˜์ค€, ์ง์—… ๋ฐ ๊ธฐ์ € ์งˆํ™˜ ๊ทธ๋ฆฌ๊ณ  ๋น„๋งŒ ๋“ฑ์ด ํฌํ•จ๋œ๋‹ค. ๊ทธ๋Ÿฌ๋ฏ€๋กœ ์ธ์ง€ ๊ธฐ๋Šฅ ์ €ํ•˜์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ์„ ์•Œ์•„๋‚ด๋Š” ๊ฒƒ์€ ์ธ์ง€๊ธฐ๋Šฅ ์ €ํ•˜ ์˜ˆ๋ฐฉ์„ ์œ„ํ•œ ํšจ๊ณผ์ ์ธ ์ค‘์žฌ๋ฅผ ๋งŒ๋“œ๋Š” ๋ฐ ํ•„์ˆ˜์ ์ด๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ์ฒซ๋ฒˆ์งธ ๋ชฉ์ ์€ ์ง‘๋‹จ์ค‘์‹ฌ์ถ”์„ธ๋ชจํ˜•์„ ์‚ฌ์šฉํ•˜์—ฌ ์ธ์ง€๊ธฐ๋Šฅ ๊ฐ์†Œ์˜ ๊ถค์ ์„ ์‹๋ณ„ํ•˜๊ณ  ์‹๋ณ„๋œ ๊ฐ ๊ทธ๋ฃน๋งˆ๋‹ค ์–ด๋– ํ•œ ์œ„ํ—˜ ์š”์†Œ๊ฐ€ ์กด์žฌํ•˜๋Š”์ง€ ์•Œ์•„๋ณด๋Š” ๊ฒƒ์ด๋‹ค. ๋‘๋ฒˆ์งธ ๋ชฉ์ ์€ ์‹œ๊ฐ„์— ๋”ฐ๋ฅธ ๋‚ด์žฅ์ง€๋ฐฉ์˜ ๋ณ€ํ™”์™€ ๊ทธ์— ๋”ฐ๋ฅธ ์ธ์ง€๊ธฐ๋Šฅ๊ณผ์˜ ์—ฐ๊ด€์„ฑ์„ ์„ฑ๋ณ„์— ๋”ฐ๋ผ ์กฐ์‚ฌํ•˜๋Š” ๊ฒƒ์ด๊ณ , ๋งˆ์ง€๋ง‰์œผ๋กœ ๋‚ด์žฅ ๋น„๋งŒ์ด ๊ธฐ์–ต์ƒ์‹คํ˜•/๋น„๊ธฐ์–ต์ƒ์‹คํ˜• ๊ฒฝ๋„์ธ์ง€์žฅ์• ๋ฅผ ์œ ๋ฐœํ•˜๋Š”์ง€ ์—ฌ๋ถ€๋ฅผ ํ‰๊ฐ€ํ•˜๊ณ , ์ด์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์œ„ํ—˜์š”์ธ๋“ค์„ ์‚ดํŽด๋ณด๋Š” ๊ฒƒ์ด๋‹ค. ๋ฐฉ๋ฒ• ์—ฐ๊ตฌ ๋ฐ์ดํ„ฐ๋Š” ์„œ์šธ๋Œ€ํ•™๊ต๋ณ‘์› ๊ฐ•๋‚จ๊ฒ€์ง„์„ผํ„ฐ ์ˆ˜๊ฒ€์ž๋“ค์˜ ์ž๋ฃŒ๋ฅผ ์ด์šฉํ•˜์˜€๋‹ค. ์ฒซ๋ฒˆ์งธ ์—ฐ๊ตฌ์—์„œ๋Š” 2005๋…„๋ถ€ํ„ฐ 2020๋…„๊นŒ์ง€ ์„œ์šธ๋Œ€ํ•™๊ต๋ณ‘์› ๊ฐ•๋‚จ๊ฒ€์ง„์„ผํ„ฐ ๋ฐฉ๋ฌธํ•˜์—ฌ ์ธ์ง€๊ธฐ๋Šฅ๊ณผ ๋ฌธ์ง„, ์‹ ์ฒด๊ณ„์ธก ๊ฒ€์‚ฌ๋ฅผ ๋ฐ›์€ 40์„ธ ์ด์ƒ 637๋ช…(๋‚จ 274๋ช…, ์—ฌ 363๋ช…)์„ ๋Œ€์ƒ์œผ๋กœ ํ•˜์˜€๋‹ค. ๋‘๋ฒˆ์งธ ์—ฐ๊ตฌ์—์„œ๋Š” 2005๋…„๋ถ€ํ„ฐ 2020๋…„๊นŒ์ง€ ์„œ์šธ๋Œ€ํ•™๊ต๋ณ‘์› ๊ฐ•๋‚จ๊ฒ€์ง„์„ผํ„ฐ์—์„œ ์ƒ์ฒด์ „๊ธฐ์ €ํ•ญ ๋ฐฉ์‹์œผ๋กœ ๋‚ด์žฅ์ง€๋ฐฉ ์ธก์ •ํ•˜๊ณ  CERAD-K ์‹ฌ๋ฆฌ์‹ ๊ฒฝํ‰๊ฐ€์ง‘์œผ๋กœ ์ธ์ง€๊ธฐ๋Šฅ ๊ฒ€์‚ฌ๋ฅผ ๋ฐ›์€ ๋‚จ์„ฑ 275๋ช…, ์—ฌ์„ฑ 367๋ช…์„ ๋ถ„์„์— ํฌํ•จํ•˜์˜€๋‹ค. ์„ธ๋ฒˆ์งธ ์—ฐ๊ตฌ์—์„œ๋Š” 2005๋…„๋ถ€ํ„ฐ 2020๋…„๊นŒ์ง€ ์„œ์šธ๋Œ€ํ•™๊ต๋ณ‘์› ๊ฐ•๋‚จ๊ฒ€์ง„์„ผํ„ฐ๋ฅผ ๋ฐฉ๋ฌธํ•˜์—ฌ ์ƒ์ฒด์ „๊ธฐ์ €ํ•ญ ๋ฐฉ์‹์œผ๋กœ ๋‚ด์žฅ์ง€๋ฐฉ ์ธก์ •ํ•˜๊ณ  CERAD-K ์‹ฌ๋ฆฌ์‹ ๊ฒฝํ‰๊ฐ€์ง‘์œผ๋กœ ์ธ์ง€๊ธฐ๋Šฅ ๊ฒ€์‚ฌ๋ฅผ ๋ฐ›์€ ์‚ฌ๋žŒ๋“ค ์ค‘์—์„œ ๊ธฐ์กด์— ์น˜๋งค์™€ ๊ฒฝ๋„์ธ์ง€์žฅ์• ๋ฅผ ์•“๊ณ  ์žˆ๋Š” ์‚ฌ๋žŒ๋“ค์€ ์ œ์™ธํ•œ 569๋ช…์„ ๋ถ„์„์— ํฌํ•จํ•˜์˜€๋‹ค. ์ฒซ๋ฒˆ์งธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ธ์ง€ ์ €ํ•˜์˜ ๊ถค์ ์„ ์‚ดํŽด๋ณด๊ธฐ ์œ„ํ•ด ์ง‘๋‹จ์ค‘์‹ฌ์ถ”์„ธ๋ชจํ˜•์„ ์ด์šฉํ•˜์˜€๋‹ค. ์ด์–ด, ๋‹ค์–‘ํ•œ ์ธ์ง€๊ธฐ๋Šฅ ๊ถค์  ๊ทธ๋ฃน์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ์„ ์กฐ์‚ฌํ•˜๊ธฐ ์œ„ํ•ด ๋‹คํ•ญํšŒ๊ท€๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๋‘ ๋ฒˆ์งธ ์—ฐ๊ตฌ์—์„œ๋Š” ์„ ํ˜•ํ˜ผํ•ฉ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ์ธ์ง€๊ธฐ๋Šฅ๊ณผ ๋‚ด์žฅ์ง€๋ฐฉ ๊ฐ„์˜ ์—ฐ๊ด€์„ฑ์„ ๋‚จ๋…€๋ฅผ ๋‚˜๋ˆ„์–ด ์•Œ์•„๋ณด์•˜๋‹ค. ์„ธ๋ฒˆ์งธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‚ด์žฅ๋น„๋งŒ๊ณผ ๊ธฐ์–ต์ƒ์‹คํ˜•/๋น„๊ธฐ์–ต์ƒ์‹คํ˜• ๊ฒฝ๋„์ธ์ง€๊ธฐ๋Šฅ์˜ ์—ฐ๊ด€์„ฑ์„ ์•Œ์•„๋ณด๊ธฐ ์œ„ํ•ด ์นดํ”Œ๋ž€๋งˆ์ด์–ด ๊ณก์„ ๊ณผ ์ฝ•์Šค ๋น„๋ก€์œ„ํ—˜๋ชจํ˜•์„ ์ด์šฉํ•˜์˜€๋‹ค. ๊ฒฐ๊ณผ ์ฒซ ๋ฒˆ์งธ ์—ฐ๊ตฌ์—์„œ 40์„ธ ์ด์ƒ ์„ฑ์ธ์˜ ์ธ์ง€ ๊ธฐ๋Šฅ ๊ถค์ ์€ ๋‹ค์–‘ํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ถค์ ์€ ๋†’์Œ(27.3%), ์ค‘๊ฐ„(41.0%), ๋‚ฎ์Œ (22.7%), ๋น ๋ฅธ ์ธ์ง€ ๊ธฐ๋Šฅ ์ €ํ•˜(9.1%)์˜ 4๊ฐ€์ง€๋กœ ๊ตฌ๋ถ„๋˜์—ˆ๋‹ค. ๋‚˜์ด๊ฐ€ ๋งŽ์„์ˆ˜๋ก, ๋‚จ์„ฑ, ๊ต์œก์ˆ˜์ค€์ด ๋‚ฎ์„์ˆ˜๋ก, ์ข‹์ง€ ์•Š์€ ์‹์Šต๊ด€, ๋‹น๋‡จ๋ณ‘, ๊ธฐ์ˆ ์ง ์ข…์‚ฌ์ž, ๋‚ฎ์€ ์†Œ๋“์€ ์ธ์ง€๊ธฐ๋Šฅ ์ €ํ•˜์˜ ๊ฐ€๋Šฅ์„ฑ์„ ์ฆ๊ฐ€์‹œ์ผฐ๋‹ค. ๋‘ ๋ฒˆ์งธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‚จ์„ฑ์˜ ๊ฒฝ์šฐ ๋‚ด์žฅ์ง€๋ฐฉ์ด ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ๋‹จ์–ด ๋ชฉ๋ก ๊ธฐ์–ต ์ ์ˆ˜ (:-0.15, CI: -0.29~-0.01) ๋ฐ ๋‹จ์–ด ๋ชฉ๋ก ํšŒ์ƒ ์ ์ˆ˜ (:-0.16, CI: -0.24~-0.09)๊ฐ€ ๊ฐ์†Œ๋˜์—ˆ๋‹ค. ์—ฌ์„ฑ์˜ ๊ฒฝ์šฐ ๋‚ด์žฅ ์ง€๋ฐฉ์ด ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ๋ณด์Šคํ„ด ์ด๋ฆ„ ๋Œ€๊ธฐ ์ ์ˆ˜ (: -0.15, CI: -0.23~-0.06), ๊ฐ„์ด ์ •์‹ ์ƒํƒœ ์ ์ˆ˜ (:-0.26, CI: -0.40~-0.12), ๋‹จ์–ด ๋ชฉ๋ก ๊ธฐ์–ต ์ ์ˆ˜(: -0.25, CI:-0.41~-0.09), ๊ตฌ์„ฑํ–‰๋™ ์ ์ˆ˜(: -0.09, CI:-0.14~-0.03), ๊ฐ„์ด ์ •์‹ ์ƒํƒœ ๊ฒ€์‚ฌ๋ฅผ ์ œ์™ธํ•œ ๋„๋ฉ”์ธ์˜ ์ดํ•ฉ ์ ์ˆ˜(: -0.71, CI:-1.20 ~ -0.22)๊ฐ€ ๊ฐ์†Œ๋˜์—ˆ๋‹ค. ์„ธ ๋ฒˆ์งธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‚ด์žฅ ๋น„๋งŒ์ด ์žˆ๋Š” ๊ฒฝ์šฐ ๋น„๊ธฐ์–ต์ƒ์‹คํ˜• ๊ฒฝ๋„ ์ธ์ง€ ์žฅ์• ์˜ ๋ฐœ์ƒ ์œ„ํ—˜์ด ๋” ๋†’์•˜๋‹ค (Adjusted HR=1.44, 95% CI=1.11-1.87). ๊ฒฐ๋ก  ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•˜์—ฌ ์ธ์ง€๊ธฐ๋Šฅ ์ €ํ•˜์—๋Š” ๋‹ค์–‘์ด ํŒจํ„ด์ด ์กด์žฌํ•œ๋‹ค๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๊ณ ๋ น, ๋‚ฎ์€ ๊ต์œก์ˆ˜์ค€, ์ข‹์ง€ ์•Š์€ ์‹์Šต๊ด€, ๋‚ฎ์€ ์†Œ๋“, ๊ธฐ์ˆ ์ง ์ข…์‚ฌ์ž, ๊ธฐ์ € ์งˆํ™˜์„ ์•“๊ณ  ์žˆ๋Š” ๊ฒฝ์šฐ, ๋‚ด์žฅ์ง€๋ฐฉ์˜ ์ฆ๊ฐ€๋Š” ์ธ์ง€๊ธฐ๋Šฅ์— ์œ„ํ—˜์š”์ธ์œผ๋กœ ์ž‘์šฉํ•˜์˜€๋‹ค. ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๋‚ด์žฅ ๋น„๋งŒ์€ ๊ฒฝ๋„์ธ์ง€์žฅ์•  ๋ฐœ๋ณ‘์˜ ์œ„ํ—˜์„ ์ฆ๊ฐ€์‹œํ‚จ๋‹ค. ์ธ์ง€์˜ˆ๋น„๋Šฅ์€ ์šฐ๋ฆฌ์˜ ๋‡Œ๊ฐ€ ์†์ƒ์„ ๋ฐ›์„ ๋•Œ ๊ทธ ํ”ผํ•ด๋ฅผ ๊ฒฌ๋””๋ฉฐ ํšŒ๋ณตํ•  ์ˆ˜ ์žˆ๋Š” ๋‡Œ์˜ ๋Šฅ๋ ฅ์ด๋‹ค. ๊ธˆ์—ฐ, ๊ธˆ์ฃผ, ์šด๋™๊ณผ ๊ฐ™์€ ์˜ฌ๋ฐ”๋ฅธ ์ƒํ™œ์Šต๊ด€ ๋ฐ ์ข‹์€ ์‹์Šต๊ด€ ๋“ฑ์„ ํ†ตํ•ด ๋‡Œ์˜ ์ธ์ง€์˜ˆ๋น„ ๋Šฅ์„ ๋†’๊ฒŒ ์œ ์ง€ํ•˜๋ฉด ์ธ์ง€๊ธฐ๋Šฅ์ด ๊ฐ์†Œ๋˜๋Š” ๊ฒƒ์„ ์˜ˆ๋ฐฉํ•  ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด ์ธ์ง€๊ธฐ๋Šฅ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์œ„ํ—˜์š”์ธ ๋“ค์„ ์ค„์ด๊ธฐ ์œ„ํ•ด ๊ฐœ์ธ์˜ ์ƒํ™œ์Šต๊ด€์„ ๋ฐ”๊พธ๋„๋ก ๋…๋ คํ•˜๊ณ  ์ค‘์žฌ๋ฅผ ๋งˆ๋ จํ•จ์œผ๋กœ์„œ ์ธ์ง€์˜ˆ๋น„๋Šฅ์„ ํ–ฅ์ƒ ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋‹คIntroduction: Aging is inevitable, accompanied by reduced intellectual ability, decline in sensory functions, and reduced emotional responses. Several socio-demographic characteristics and health habits can affect cognitive decline. These included older age, lower income, poorer education, poor self-rated health, limitations on the activities of daily living and chronic illness etc. Also Cognitive impairment was also associated with visceral fat. Therefore, identifying factors that affect cognitive function decline is essential for the prevent cognitive decline and creation of effective interventions. The objectives of the present study were to identify distinct trajectories of cognitive function using the GBTM method. And I found out what risk factors existed for each identified group, such as demographics characteristics, lifestyle, comorbidities, and economic conditions. Second, I investigated changes in visceral fat over time and their association with cognitive function accordingly by gender. Third, I aimed to evaluate whether visceral obesity causes Non Amnestic/Amnestic mild cognitive impairment. I also investigated the variables affecting the Non-Amnestic/Amnestic mild cognitive impairment. Methods: First, I collected data from the Seoul National University Hospital Healthcare System Gangnam Center. First, 637 individuals (274 males and 363 females) aged over 40 were included who got health check-up in the Seoul National University Hospital Healthcare System Gangnam Center 2005 to 2020. A group-based trajectory model was utilized to determine the appropriate number of groups and also to observe changes in cognitive function. Following the trajectory analysis, a multinomial regression analysis was performed to examine the related risk factors of cognitive function that influenced each trajectory groups. Second, 642 individuals (275 males and 367 females) were selected who underwent bioelectrical impedance analysis (BIA) for visceral fat area and the Consortium to Establish a Registry for Alzheimers Disease-K (CERAD-K) test at the Seoul National University Hospital Healthcare System Gangnam Center 2005 to 2020. A linear mixed model (LMM) was used to assess the association between cognitive function and visceral fat area. Third, among those who participated in the Seoul National University Hospital Healthcare System Gangnam Center from 2005 to 2020, 569 people (281 males, 288 females) were included in the analysis, excluding those already suffering from mental disorders such as mild cognitive impairment or dementia. Kaplan-Meier analysis and Cox Proportional Hazard regression analysis were conducted to determine the association between visceral obesity and Non Amnestic/Amnestic mild cognitive impairment. Results: From the first study, the cognitive function trajectories among adults over 40 years of age were heterogeneous. I identified four trajectories: High (27.3%), medium (41.0%), low (22.7%), and rapid cognitive function decline (9.1%). Older age, male, low educational level, bad dietary habits, diabetes mellitus, technical worker, and lower income increased the likelihood of a cognitive function decline. From the second study, an increased visceral fat area was associated with worse Word List Memory score (:-0.15, CI: -0.29 to -0.01) and Word List Recall score (:-0.16, CI: -0.24 to -0.09) in males. In females, an increased visceral fat area was associated with worse Boston naming test score (: -0.15, CI: -0.23 to -0.06), MMSE-KC score (:-0.26, CI: -0.40 to -0.12), Word List Memory score (: -0.25, CI: -0.41 to -0.09), Constructional praxis score (: -0.09 CI: -0.14 to -0.03), and sum of domains except MMSE-KC (: -0.71, CI: -1.20 to -0.22). From the third study, the risk of Non-Amnestic mild cognitive impairment in the visceral obesity group was 1.43 higher (95% CI=1.10-1.86) than that in the non-visceral obesity group. The risk of Non-Amnestic mild cognitive impairment in age of 40-64 was 1.44 higher (HR, 95% CI=1.11-1.87) than in age of 65-84, lower education level was 1.32 higher (HR, 95% CI=1.04-1.67) than that in higher education level and in monthly household income under 10 million won was 1.29 higher (HR, 95% CI=1.02-1.63) than that in over 10 million won. Also, the risk of Non-Amnestic mild cognitive impairment in subjects with having hypertension was 1.31 higher (HR, 95% CI=1.06-1.63) than not suffering from hypertension. Conclusion: Through this study, it was found that various patterns exist in the cognitive decline of individuals. In addition, factors affecting cognitive decline were also identified. Older age, low education level, bad dietary habits, low income, technical workers, comorbidities, and increase in visceral fat act as risk factors for cognitive function. In addition, visceral obesity increases the risk of developing mild cognitive impairment. Cognitive reserve is the brain's ability to withstand damage and to recover when it is damaged. The cognitive decline can be prevented by maintaining high cognitive reserve of the brain through healthy habits such as smoking cessation, abstinence from alcohol, exercise, and good dietary habits or through various daily activities. In order to reduce risk factors affecting cognitive function through this study, it is necessary to encourage changes in lifestyles that individuals can make and social interventions are needed.Chapter 1. Overall Introdunction 1 1.1 Cognitive function decline and population of dementia 2 1.2 Cognitive reserve 5 1.3 Objective of the present study 8 1.4 Composition of the data 9 1.5 Methods for measuring cognitive funciton 16 Chapter 2. Risk Factors for Various Cognitive Function Decline Trajectories in Adults Over 40 Years of Age 18 2.1 Introduction 19 2.2 Methods 23 2.3 Results 28 2.4 Discussion 35 Chapter 3. Decrease in Cognitive Function Associated with Changes in Visceral fat area 41 3.1 Introduction 42 3.2 Methods 45 3.3 Results 53 3.4 Discussion 73 Chapter 4. Visceral Obesity is Associated with an Increased Risk of Mild Cognitive Impairment 79 4.1 Introduction 80 4.2 Methods 83 4.3 Results 88 4.4 Discussion 97 Chapter 5. Overall discussion 104 References 111 Abstract in Koean (๊ตญ๋ฌธ์ดˆ๋ก) 125๋ฐ•

    Production Quality for Process Capability with Multiple Characteristics on the Chip Resistor Production

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    There are many journal papers about process capability indices with multiple characteristics in certain manufacturing assemblies including Cp, Cpk, Cpu, and Cpl. However, all of them assume the data is normal distribution and there is no product level process capability with an example chip resistor. This paper will discuss the affection of sample mean and standard deviations on process capability indices for multiple quality characteristics and its product assembly instead of assuming as normal distributions with the data from simulation. Furthermore, it will present several methodologies to calculate the product process capability with weighted arithmetic mean technique so that we can see how each characteristic effect on the product process

    The Effectiveness of Scarcity Messages in Group-Buying Social Commerce: The Comparison of Korea and China

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    This study attempts to extend the customer valueโ€“customer satisfactionโ€“customer loyalty framework by introducing key constructs of scarcity messages as a major environmental stimulus and the urge to buy impulsively as its response in the context of group-buying social commerce, across countries including Korea and China. More specifically, this study proposes that scarcity messages influence customersโ€™ value perception (i.e., utilitarian value and hedonic value. Moreover, the study suggests that scarcity messages and customer values arouse the urge to buy impulsively. In the Korean sample, the results show that scarcity messages increase both utilitarian and hedonic values as well as the urge to buy impulsively, which in turn enhances customersโ€™ satisfaction and further loyalty. In the Chinese sample, relationships related to utilitarian value are insignificant. That is, scarcity messages only influence hedonic value which increases the urge to buy impulsively. Besides, customer satisfaction depends on utilitarian and hedonic values

    Moral Distress of Neonatal Intensive Care Nurses in End-of-Life Care

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    https://scholarworks.seattleu.edu/fss-2019/1003/thumbnail.jp

    Leveraging Customer Knowledge in Electronic Knowledge Repositories for Service Expertise

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    The Flipside of Ubiquitous Connectivity by Smartphone-based Social Networking Service (SNS): Social Presence and Privacy Concern

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    The spread of smartphones triggers the universal use of smartphone-based social networking services (SNS) from younger generations in their teens and twenties to older ones in their fifties and sixties. SNS would no longer be the preserve of younger generations. Smartphone-based SNS can be enjoyed by everyone irrespective of age or gender. Under the circumstances, this study attempts to shed light on the sources of enjoyment, which has been argued as a key determinant of hedonic IS use, assuming that ubiquitous connectivity is a foundation of using smartphone-based SNS. This is because the main reason that people use smartphone-based SNS is to maintain seamless connection with others such as family, friends and acquaintances. Furthermore, the study examines factors related to enjoyment considering both sides of ubiquitous connectivity due to smartphone-based SNS use (i.e., social presence and privacy concern) and also verifies the effects of these variables on SNS continuance intention. Our results show that first, ubiquitous connectivity increases social presence and privacy concern. Second, enjoyment comes from not only ubiquitous connectivity but also social presence and privacy concern. Finally, smartphone-based SNS continuance intention is determined by enjoyment, social presence and privacy concern. Discussion and implications on the results are presented

    Individual and parental factors associated with preschool childrenโ€™s foreign language anxiety in an EFL Setting

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    The present study aims to examine individual and parental factors that affect young childrenโ€™s foreign language anxiety (FLA) in an EFL setting. Subjects include 453 mothers of young children aged 3 to 5 years old and of these participants, 217children attended regular kindergarten and 236 children attended English immersion institution. Both individual (childโ€™s age, gender, temperament) and parental (parentโ€™s educational attainment, household income, motherโ€™s beliefs about early English education) factors were collected with motherโ€™s self-report questionnaire. Childrenโ€™s foreign language anxiety, however, was measured with both motherโ€™s and teacherโ€™s assessment. Results reveal that childrenโ€™s age and temperament had significant effects on their level of foreign language anxiety. Older children were more prone to having a higher level of foreign language anxiety and children with a higher tendency for impulsiveness and harm avoidance were also more likely to show a higher level of foreign language anxiety. As for the parental factors, children of mothers with more concerns for early English education and stronger beliefs in cognitive benefits of early English education were more likely to show a higher level of foreign language anxiety. Future directions and implications will be discussed
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