48 research outputs found

    The Differential Mediating Role of Goal Setting in the Relationship between Self-efficacy and Performance

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    This research examined to reveal the mediating effect of goal setting in the relationship between self-efficacy and performance, and the impact of self-efficacy on goal setting. In evolutionary theory, there are two types of goal : learning and performance goal. This study measured the differential mediating effect of these two types of goals. Using the three-step mediated regression analysis for testing mediation hypotheses, the research result reveals that, consistent with previous research, learning goal setting was more positively related to outcome variables than performance goal setting. This study indicates that self-efficacy has positive and significant impact on the learning goal, but not on the performance goal. Also, the result showed that the learning goal mediates the relationship between self-efficacy and outcome variables(task interest, level of effort, final grade of students). but the performance goal does not mediate. The implications of these findings are discussed

    Career-Oriented Commitment as a Moderator of the Autonomy-Performance Relationship

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    It is generally accepted that there is a positive relationship between organizational autonomy and performance. However, a few researchers recently argued that the increased autonomy may not automatically result in high performance and that the employeesโ€™ personality and disposition might be the cause of the null effect of autonomy. So, this study investigates the complexities in the relationships between organizational autonomy and outcomes by examining the interaction effect of the employeesโ€™ career-oriented commitment on that relationship. More specifically, we suggest that career-oriented commitment may serve as a mechanism for facilitating the autonomy impact to organizational outcome variables including job satisfaction, job performance and continuance commitment of the members. As such, we propose moderating roles of career commitment on the relationship between perceptions of autonomy and the work outcomes. It was hypothesized that autonomy would enhance the organizational performance and that the interaction between autonomy and career commitment would have effects on organizational outcomes. The sample consisted of 280 employees from 40 enterprises near Seoul. Hypotheses were supported for the proposed interaction effect of career commitment with autonomy on three of the work outcomes: satisfaction(+), performance(+) and continuance commitment(-). Implications of results and areas for future research are discussed

    3D ํ”„๋ฆฐํŠธ ๋ชจ๋ธ์˜ ์ •ํ™•๋„ ๋ถ„์„์„ ํ†ตํ•œ ๋‹ค์–‘ํ•œ ๊ตฌ๊ฐ• ์Šค์บ๋„ˆ์™€ 3D ํ”„๋ฆฐํ„ฐ ๊ฐ„์˜ ํ˜ธํ™˜์„ฑ ํ‰๊ฐ€

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    Objective: To assess the accuracy of various types of intraoral scanners (IOSs) and to investigate the existence of mutual compatibility that affects the accuracy between various IOS and 3-dimensional (3D) printing using a scan quadrant model. Problem Statement: While numerous studies on various types of IOSs and 3D printers have been published, studies on the accuracy of according to compatibility between various IOSs and 3D printersโ€™ devices is insufficient. Materials and Methods: A cobalt-chromium metal quadrant model fabricated by 3D printing was selected as the typodont model. The selected typodont model was scanned using a tabletop Identica T500 reference scanner, from which, reference (Ref) standard tessellation language (STL) data were created. Data obtained by scanning the typodont model with IOSs based on three different technologies, were divided into three control groups (CS3600, i500, and Trios3) depending on the scanner type. Scanned data from the control groups were divided into sub-groups of digital light processing (DLP), fused deposition modeling (FDM), and stereolithography apparatus (SLA) depending on the three different 3D printing types, based on which, 3D printed models (3DPs) were fabricated. The 3DP dental models were scanned by tabletop Identica T500 to obtain a total of 90 3DP STL datasets. The process method uses a best-fit algorithm of 3D analysis software (Geomagic Verify X 3D Systems) was used for teeth and arch measurements, while trueness was mesh deviation command analyzed by calculating the average deviation of the absolute values among measured. Therefore, through the shell-to-shell deviation automatically overlapping of Ref and IOS and 3DP STL files were each other measured. The differences between Ref and IOS (Ref-IOS); Ref and 3DP data (Ref-IOS/3DP); and IOS and 3DP data (IOS-3DP) were compared and analyzed, while accuracy within each of the three main groups was assessed. Color-coded maps were used for visualization of the distribution of size and deviation of digitized data sets. The data was analyzed not to follow the normal distribution after the Kolmogorovโ€“Smirnov test of three major groups, nonparametric analysis was conducted. For statistical analysis, the median trueness values of the three major groups were analyzed using the Kruskalโ€“Wallis test, after which, statistical significance of the Mannโ€“Whitney U test was used for paired comparisons between data from each group (P <.05). Moreover, a repeated measures analysis of variance was performed to identify the differences between the deviations of IOS-3DP and Ref-IOS/3DP, while a comparative test was performed on analysis results from both intra oral scanning and 3D printing, and results from only 3D printing (P <.05). Results: In the comparison among the median Ref-IOS trueness values, which demonstrate only the IOS process, the median trueness of Ref-i500 (23.5 ฮผm) was significantly lower than that of Ref-CS3600 (30.2 ฮผm) (P <.05). In the comparison between the trueness values from both IOS and 3D printing processes and Ref-IOS/3DP superimposed data, Ref-CS3600/DLP (59.5 ฮผm) was significantly higher than Ref-i500/DLP (43.2 ฮผm) and Ref-Trios3/DLP (44.8 ฮผm) (P <.05). Ref-CS3600/FDM (64.3 ฮผm) was significantly lower than Ref-i500/FDM (81.9 ฮผm) and Ref-Trios3/FDM (78.8 ฮผm) (P <.05). Ref-i500/SLA (65.5 ฮผm) was significantly higher than Ref-Trios3/SLA (56.6 ฮผm) (P <.05). In the comparison between the trueness values from only the 3D printing process and IOS-3DP superimposed data, CS3600-DLP (51.8 ฮผm) was significantly higher than i500-DLP (46.2 ฮผm) (P <.05). CS3600-FDM (73.3 ฮผm) was significantly lower than both i500-FDM (77.6 ฮผm) and Trios3-FDM (78.8 ฮผm) (P <.05). Conclusions: The major finding is that the mutual relationships between IOSs and 3D printers vary depending on the combination. No product could be identified ๋ชฉ์ : ์น˜๊ณผ ์ž„์ƒ์—์„œ ๊ตฌ๊ฐ• ์Šค์บ๋„ˆ (IOS)์™€ 3 ์ฐจ์› (3D) ํ”„๋ฆฐํ„ฐ์˜ ํ™œ์šฉ์€ ์ ์ฐจ ๋Š˜์–ด๋‚˜๊ณ  ์žˆ์–ด์„œ ์ˆ˜๋ณต์˜์—ญ, ๊ต์ •์˜์—ญ ๋“ฑ์—์„œ ๋งŽ์€ ๊ด€์‹ฌ์„ ๋ถˆ๋Ÿฌ์ผ์œผํ‚ค๊ณ  ์žˆ๋‹ค. IOS๋กœ ์ธ๊ธฐ ๋œ ์ž๋ฃŒ๋ฅผ 3D ํ”„๋ฆฐํ„ฐ๋กœ ์ถœ๋ ฅํ•˜์—ฌ ์ž„์ƒ์— ๋งŽ์ด ํ™œ์šฉ๋˜๊ณ  ์žˆ๋‹ค. ๋‹ค์–‘ํ•œ ๋ฐฉ์‹์˜ IOS๊ฐ€ ์žˆ๊ณ  3D ํ”„๋ฆฐํ„ฐ ๋˜๋Š” ๋‹ค์–‘ํ•œ ๋ฐฉ์‹์˜ ์ œํ’ˆ๋“ค์ด ์žˆ์–ด์„œ ์ƒํ˜ธ๊ต์ฐจ ์‚ฌ์šฉ๋˜๊ณ  ์žˆ๋Š”๋ฐ ์ด๋Ÿฌํ•œ ๊ต์ฐจ์‚ฌ์šฉ์—์„œ ๊ธฐ๊ธฐ๊ฐ„์˜ ํ˜ธํ™˜์„ฑ์— ๋”ฐ๋ฅธ ์ •ํ™•์„ฑ์˜ ์ฐจ์ด์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋Š” ๋ถ€์กฑํ•œ ์ƒํ™ฉ์ด๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ๋‹ค์–‘ํ•œ IOS์˜ ์ •ํ™•๋„๋ฅผ ํ‰๊ฐ€ํ•˜๊ณ  ์Šค์บ” ์‚ฌ๋ถ„๋ฉด ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ IOS์™€ 3D ํ”„๋ฆฐํŒ… ๊ฐ„์˜ ์กฐํ•ฉ์— ๋”ฐ๋ฅธ ์ •ํ™•๋„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ƒํ˜ธ ํ˜ธํ™˜์„ฑ์ด ์กด์žฌํ•˜๋Š” ์ง€๋ฅผ ์ถ”๊ฐ€๋กœ ์กฐ์‚ฌํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ์žฌ๋ฃŒ ๋ฐ ๋ฐฉ๋ฒ•: ์ž„์ƒ ์  ์˜๋ฏธ๋ฅผ ์œ„ํ•ด, ๋ณด์ฒ  ์ง„๋‹จ ๋ฐ ์น˜๋ฃŒ ๊ณ ๋ ค ์‚ฌํ•ญ์— ๋”ฐ๋ฅธ crown preparations ๋ฐ cavity ๋””์ž์ธ์€ ๋””์ง€ํ„ธ ์Šค์บ๋„ˆ๋กœ ํš๋“ํ•ด์•ผํ•œ๋‹ค. ์ œ์กฐ์—…์ œ์— ๋”ฐ๋ผ3D ํ”„๋ฆฐํŒ…์œผ๋กœ ์ œ์ž‘๋œ ์ฝ”๋ฐœํŠธ-ํฌ๋กฌ ์‚ฌ๋ถ„๋ฉด ๋ชจ๋ธ์ด typodont ๋ชจ๋ธ๋กœ ์„ ํƒ๋˜์—ˆ๋‹ค. Tabletop Identica T500 ์ฐธ์กฐ ์Šค์บ๋„ˆ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์„ ํƒ๋œ typodont ๋ชจ๋ธ์„ ์Šค์บ”ํ•˜๊ณ  ์ฐธ์กฐ (Ref) standard tessellation language (STL) ๋ฐ์ดํ„ฐ๊ฐ€ ๋งŒ๋“ค์–ด์กŒ๋‹ค. ์„ธ ์ข…๋ฅ˜์˜ ๋‹ค๋ฅธ ๊ธฐ์ˆ ์— ๊ธฐ๋ฐ˜ํ•œ IOS๋กœ typodont ๋ชจ๋ธ์„ ์Šค์บ”ํ•˜์—ฌ ์–ป์–ด์ง„ ๊ฐ๊ฐ ๋ฐ์ดํ„ฐ๋ฅผ ์Šค์บ๋„ˆ ์œ ํ˜•์— ๋”ฐ๋ผ CS3600, i500 ๋ฐ Trios3์ด๋ผ๊ณ  ์„ธ ๊ฐ€์ง€ ๊ทธ๋ฃน์œผ๋กœ ๋‚˜๋ˆด๋‹ค. ๊ทธ๋ฃน์˜ ์–ป์–ด์ง„ ์Šค์บ๋„ˆ (IOS) ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์„ธ ๊ฐ€์ง€ ๋‹ค๋ฅธ 3D ํ”„๋ฆฐํŒ… ์œ ํ˜•์— ๋”ฐ๋ผ digital light processing (DLP), fused deposition modeling (FDM) ๋ฐ stereolithography apparatus (SLA)์ด๋ผ๊ณ  ์„œ๋ธŒ ๊ทธ๋ฃน์œผ๋กœ ๋‚˜๋ˆ„์–ด ์กŒ๊ณ  3D printed ๋ชจ๋ธ์ด ์ œ์กฐ๋˜์—ˆ๋‹ค. ์ถœ๋ ฅํ•œ 3D ์น˜๊ณผ ๋ชจ๋ธ์„ ์Šค์บ”ํ•˜์—ฌ ์ด 90 ๊ฐœ์˜ 3D ๋ชจ๋ธ (3DP) STL ๋ฐ์ดํ„ฐ ์„ธํŠธ๋ฅผ ์–ป์—ˆ๋‹ค. ์ธก์ • ํ”„๋กœ์„ธ์Šค ๋ฐฉ๋ฒ•์€ ์น˜์•„ ๋ฐ ์•…๊ถ์˜ ๊ณ„์ธก์„ ์‹œํ–‰ํ•˜๊ธฐ ์œ„ํ•ด 3D ๋ถ„์„ ์†Œํ”„ํŠธ์›จ์–ด (Geomagic Verify X 3D Systems)์˜ ์ตœ์  ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์‚ฌ์šฉํ–ˆ์œผ๋‚˜ trueness๋Š” ์ ˆ๋Œ€ ๊ฐ’์˜ ํ‰๊ท  ํŽธ์ฐจ๋กœ ๊ณ„์‚ฐํ–ˆ๋‹ค. ๋”ฐ๋ผ์„œ mesh deviation command๋ฅผ ์ด์šฉํ•˜์—ฌ ์ž๋™์œผ๋กœ ๊ฒน์น˜๋Š” shell-to-shell ํŽธ์ฐจ๋ฅผ ํ†ตํ•ด Ref์™€ IOS ๋ฐ 3DP STL ํŒŒ์ผ์ด ์„œ๋กœ ๊ฐ„์— ์ฐจ์ด๊ฐ€ ์ธก์ •๋˜์—ˆ์Šต๋‹ˆ๋‹ค. Ref์™€ IOS ๋ฐ์ดํ„ฐ (Ref-IOS)๋ฅผ ์ฐจ์ด ๋น„๊ต, Ref์™€ 3D ๋ชจ๋ธ ๋ฐ์ดํ„ฐ (Ref-IOS/3DP)์˜ ์ฐจ์ด ๋น„๊ต, ๋˜ํ•œ IOS์™€ 3DP ๋ชจ๋ธ ๋ฐ์ดํ„ฐ (IOS-3DP) ์ฐจ์ด ๋น„๊ต๋ฅผ ๋ถ„์„ํ•˜๊ณ  ์„ธ ๋ฉ”์ธ ๊ทธ๋ฃน ์•ˆ์—์„œ ๊ฐ๊ฐ์˜ ์ •ํ™•๋„๊ฐ€ ํ‰๊ฐ€๋˜์—ˆ๋‹ค. ๋””์ง€ํ„ธํ™” ๋œ ๋ฐ์ดํ„ฐ ์„ธํŠธ ์‚ฌ์ด์˜ ํฌ๊ธฐ ๋ฐ ํŽธ์ฐจ ๋ถ„ํฌ๋ฅผ ์‹œ๊ฐํ™”ํ•˜๊ธฐ ์œ„ํ•ด color-coded map์ด ์‚ฌ์šฉ๋˜์—ˆ๋‹ค. ํ†ต๊ณ„ ๋ถ„์„์€ ์ฃผ์š” 3 ๊ทธ๋ฃน์˜ median trueness values์€ Kruskal-Wallis ํ…Œ์ŠคํŠธ๋ฅผ ์ ์šฉํ•˜์—ฌ ๋ถ„์„ํ•œ ํ›„, ๊ฐ ๊ตฐ๊ฐ„ ์ „์ฒด ๋ฐ์ดํ„ฐ ๊ฐ„์˜ ํŽ˜์–ด ๋ณ„ ๋น„๊ต๋ฅผ ์œ„ํ•ด Mann-Whitney U ํ…Œ์ŠคํŠธ์˜ ํ†ต๊ณ„์  ์œ ์˜์„ฑ์„ ์ˆ˜ํ–‰๋˜์—ˆ์œผ๋ฉฐ ๊ฐ ์Šค์บ๋„ˆ ์ƒํ˜ธ ์ž‘์šฉ ๋ฐ post hoc Bonferroni test ๋ณด์ •์˜ ๋ถ„์„๋„ ์‚ฌ์šฉ๋˜์—ˆ๋‹ค (P <.05). ๋„ํ•œ IOS-3DP ๋ฐ Ref-IOS/3DP ํŽธ์ฐจ ๊ฐ„์˜ ์ฐจ์ด๋ฅผ ํŒŒ์•…ํ•˜๊ธฐ ์œ„ํ•ด ๋ฐ˜๋ณต์ธก์ • ANOVA (repeated measure ANOVA)๋ฅผ ์‹œํ–‰ํ•˜์˜€๊ณ  ๊ตฌ๊ฐ•์Šค์บ”๊ณผ 3D ํ”„๋ฆฐํŒ…์„ ๋ชจ๋‘ ๊ฑฐ์นœ ๊ฒฐ๊ณผ ๋ถ„์„๊ณผ 3D ํ”„๋ฆฐํŒ…๋งŒ ๋ถ„์„ํ•œ ๋‚ด์šฉ์„ ๋น„๊ต ๋ฐ ๊ฒ€์ฆํ•˜์˜€๋‹ค(P <.05). ๊ฒฐ๊ณผ: IOS ๊ณผ์ • ๋งŒ์˜ trueness ๊ฐ’ Ref-IOS ์ค‘์ฒฉ ๋ฐ์ดํ„ฐ ๋น„๊ต ๊ฐ„์˜ ๊ฒฐ๊ณผ์—์„œ i500 (23.5 ฮผm)๋Š” CS3600 (30.2 ฮผm) ๋ณด๋‹ค ์œ ์˜ํ•˜๊ฒŒ ๋‚ฎ์•˜๋‹ค (P <.05). IOS์™€ 3D ํ”„๋ฆฐํŒ… ๊ณผ์ • ์ „์ฒด์˜ trueness ๊ฐ’ Ref-IOS/3DP ์ถฉ์ฒฉ ๋ฐ์ดํ„ฐ ๋น„๊ต ๊ฐ„์˜ ๊ฒฐ๊ณผ์—์„œ Ref-CS3600/DLP (59.5 ฮผm)๋Š” Ref-i500/DLP (43.2 ฮผm) ๋ฐ Ref-Trios3/DLP (44.8 ฮผm) ๋ณด๋‹ค ์œ ์˜ํ•˜๊ฒŒ ๋†’์•˜๋‹ค (P <.05). Ref-CS3600/FDM (64.3 ฮผm)๋Š” Ref-i500/FDM (81.9 ฮผm) ๋ฐ Ref-Trios3/FDM (78.8 ฮผm)์˜ ๋ณด๋‹ค ์œ ์˜ํ•˜๊ฒŒ ๋‚ฎ์•˜๋‹ค (P <.05). Ref-i500/SLA (65.5 ฮผm)๋Š” Ref-Trios3/SLA (56.6 ฮผm) ๋ณด๋‹ค ์œ ์˜ํ•˜๊ฒŒ ๋†’์•˜๋‹ค (P <.05). 3D ํ”„๋ฆฐํŒ… ๊ณผ์ • ๋งŒ์˜ trueness ๊ฐ’ IOS-3DP ์ถฉ์ฒฉ ๋ฐ์ดํ„ฐ ๋น„๊ต ๊ฐ„์˜ ๊ฒฐ๊ณผ์—์„œ CS3600-DLP (51.8 ฮผm)๋Š” i500-DLP (46.2 ฮผm)์˜ ๋ณด๋‹ค ์œ ์˜ํ•˜๊ฒŒ ๋†’์•˜๋‹ค (P <.05). CS3600-FDM (73.3 ฮผm)๋Š” i500-FDM (77.6 ฮผm) ๋ฐ Trios3-FDM (78.8 ฮผm) ๋ณด๋‹ค ์œ ์˜ํ•˜๊ฒŒ ๋‚ฎ์•˜๋‹ค (P <.05). ๊ฒฐ๋ก : ์ฃผ์š” ๊ฒฐ๊ณผ๋Š” IOS์™€ 3D ํ”„๋ฆฐํ„ฐ ๊ฐ„์˜ ์ƒํ˜ธ๊ด€๊ณ„๋Š” ์กฐํ•ฉ์— ๋”ฐ๋ผ ๋‹ค๋ฅด๋‹ค. ๊ฐ€์žฅ ์ •ํ™•ํ•œ ์ œํ’ˆ์„ ์‹๋ณ„ํ•  ํ•  ์ˆ˜ ์—†์—ˆ๋‹ค. ์„ธ ๊ฐ€์ง€ ๋ฐฉ์‹์˜ 3D ํ”„๋ฆฐํ„ฐ๋กœ ์ถœ๋ ฅํ•œ ์น˜๊ณผ ๋ชจ๋ธ ๋ฐ์ดํ„ฐ์˜ ์ •ํ™•๋„์—๋Š” ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ์กด์žฌํ•˜์˜€๋‹ค. ๋ชจ๋“  Digital light processing ์œ ํ˜•์˜ 3D ํ”„๋ฆฐํ„ฐ๊ฐ€ ๊ฐ€์žฅ ์ •ํ™•ํ–ˆ๋‹ค. ๋ชจ๋“  ์Šค์บ๋„ˆ์—์„œ ํ”„๋ฆฐํ„ฐ๋ฅผ ์‚ฌ์šฉํ•œ ๊ฒฝ์šฐ๊ฐ€ ๊ฐ€์žฅ ์ •ํ™•ํ–ˆ๋‹ค.open๋ฐ•
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