• Journal of Fashion Business
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• v.21 no.2
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• pp.30-44
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• 2017

The purposes of this study were to (a) identify dimensions of relational benefits in the social commerce market, (b) predict the effects of relational benefits on satisfaction, repurchase intention, and word of mouth (WOM) intention, (c) examine the mediating effects of satisfaction, and (d) compare the differences in the effects of relational benefits on satisfaction, repurchase intention, and WOM intention between the two groups of market mavenism. For collecting data, a self-administered questionnaire was undertaken by an online research agency. A total of 490 usable responses were obtained from consumers who have used social commerce sites. The sample included a slightly higher number of females (50.8%) than males and age was ranged from 20 years to 40 years. An exploratory factor analysis generated four factors of relational benefits such as confidence, convenience, special treatment, and information. Multiple regression models showed that confidence, convenience, and special treatment benefits were significant predictors of satisfaction and repurchase intention; the confidence and convenience benefits were significant for WOM intention. Satisfaction significantly mediated the relationship between relational benefits and repurchase intention, and the relationship between relational benefits and WOM intention. The group with high level of market mavenism more highly perceived the relational benefits than the other groups. Confidence benefit had a significant effect on repurchase intention regardless of the level of market mavenism, while convenience benefit had a significant effect on repurchase intention in the non-market maven group. This study discussed the managerial implications for customer relationship management in the social commerce marketplace.

• Culinary science and hospitality research
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• v.13 no.4
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• pp.92-106
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• 2007

The most important factor in hotel business is the management system of human resources, and focuses on the role of a manager who successfully achieves the business objective. This study is based on a survey conducted on staff members from five-star hotels in Seoul and Gyeonggi Province. It aims to look into the influence of leadership and confidence on a Department Chief in terms of overall business achievement. As a result of the verified analysis of this study is as follows: First, the influence of the Department Chief's leadership on confidence(Estimate=1.083, C.R.=12.977) was the highest. Second, the influence of the Department Chief's leadership on business achievement(Estimate=0.651, C.R.=5.864) was relevantly high. Third, the influence of confidence of the Department Chief on business achievement(Estimate=0.217, C.R.=2.054) was relevantly low, but still beneficial. As a result of this study concludes that in order to enhance business achievement, both leadership and confidence of the Department Chief were crucial. Especially, the Department Chief's leadership had an effect on the level of staff members' satisfaction, devotion and intention to change one's occupation in the form of having trust on the Department Chief. Such a result indicates that the Department Chief's leadership plays an active role in elevating the staff members' satisfaction on their job. An elevated satisfaction level will further enhance trust, business performance, devotion to company, cohesion, and productivity.

• Communications for Statistical Applications and Methods
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• v.5 no.3
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• pp.905-926
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• 1998

We propose a modified mid P-value method to reduce the conservativeness for the inference of conditional associations in three-way contingency tables. This improves the ordinary mfd P-value method. For $2{\times} 2${\times} K$ tables, we propose confidence intervals for an assumed common odds ratio based on inverting two separate one-sided tests using the modified mid P-value. Also, an alternative and usually even better ways of constructing intervals, based on Inverting a two-sided test, are presented. The actual probability of coverage of a 100($1-\alpha$)% confidence interval is centered about the nominal level, but the modified mid P-value approach gives actual coverage probability even closer to the nominal level than the ordinary mid P-value approach.

• Communications for Statistical Applications and Methods
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• v.10 no.2
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• pp.277-289
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• 2003

We propose modified exact inferential methods in logistic regression model. Exact conditional distribution in logistic regression model is often highly discrete, and ordinary exact inference in logistic regression is conservative, because of the discreteness of the distribution. For the exact inference in logistic regression model we utilize the modified P-value. The modified P-value can not exceed the ordinary P-value, so the test of size $\alpha$ based on the modified P-value is less conservative. The modified exact confidence interval maintains at least a fixed confidence level but tends to be much narrower. The approach inverts results of a test with a modified P-value utilizing the test statistic and table probabilities in logistic regression model.

• Journal of the Korean Data and Information Science Society
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• v.7 no.1
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• pp.21-35
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• 1996

In this paper, estimation and prediction procedures are discussed for grneral situation in which the failure time follows the independent density $f_{i}({\varepsilon}_{i})$ for the accelerated life testing under Type II censoring. In the context of accelerated life test experiment, procedures are given for estimating the parameters in the Eyring model, and for estimating mean life at a given future stress level. The procedures given are conditional confidence interval procedures, obtained by conditioning on ancillary statistics. A comparison is made of these procedures and procedures based on asymptotic properties of the maximum, likelihood estimates.

• Journal of Gifted/Talented Education
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• v.13 no.2
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• pp.57-71
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• 2003

This study is to examine and compare the preference for occupation, reasons of preference for occupations, and confidence of occupations or future of them by analysing 'self-portraits after 20 years' of science gifted/talented. The level of preference for talent-related occupations of gifted/talented students was merely 29.2, whereas that for medical world was 32.6%(the highest level). 74% of them had confidence of that their own dream or hope come true. Main reasons of selecting occupation for the future were 'service for social-national development', and 'convenience for life'. It is necessary to endeavor nationally, socially, and educationally to develop interest and preference of the science gifted/talented for science-related occupations, and confidence for the future, and contribute talents of them to nation.

• Phonetics and Speech Sciences
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• v.1 no.1
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• pp.55-62
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• 2009

This paper proposes an improved method to verify a keyword segment that results from a word spotting system. First a baseline word spotting system is implemented. In order to improve performance of the word spotting systems, we use a two-pass structure which consists of a word spotting system and an utterance verification system. Using the basic likelihood ratio test (LRT) based utterance verification system to verify the keywords, there have been certain problems which lead to performance degradation. So, we propose a method which uses phone-level log-likelihood ratios (PLLR) patterns in computing confidence measures for each keyword. The proposed method generates weights according to the PLLR patterns and assigns different weights to each phone in the process of generating confidence measures for the keywords. This proposed method has shown to be more appropriate to word spotting systems and we can achieve improvement in final word spotting accuracy.

• Journal of the Korean Data and Information Science Society
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• v.21 no.5
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• pp.891-899
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• 2010

Association rule is the technique to represent the relationship between two or more items by numerical representing for the relevance of each item in vast amounts of databases, and is most being used in data mining. The basic thresholds for association rule are support, confidence, and lift. these are used to generate the association rules. We need standardization of lift because the range of lift value is different from that of support and confidence. And also we need standardization of support and confidence to compare objectively association level of antecedent variables for one descendant variable. In this paper we propose a method for standardization of association thresholds considering marginal probability for each item to grasp objectively and exactly association level, check the conditions for association criteria and then compare association thresholds with standardized association thresholds using some concrete examples.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.11
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• pp.19-25
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• 2014

For effective updating a blind equalizer, we propose the adaptive algorithm having faster convergence speed required for initial equalization and satisfying low error level required in steady-state while having a gradual and reversible switching characteristics between initial stage and steady-state. The proposed method presents three criteria to distinguish the state of equalized signal, according to the criteria, differently updates the equalizer by using the hybrid error generation algorithm generating one of the three errors. Wherein as the criteria to determine the state of the equalized signal the confidence intervals on the signal constellation are used, an error is generated alternatively according to the confidence interval where equalizer output lies, and the equalizer is updated by, we got convergence quickly and to lower error level. In order to verify the usefulness of the proposed idea, simulation results were compared to the performance of conventional methods.

• The Mathematical Education
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• v.54 no.2
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• pp.195-206
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• 2015

The purpose of this study is to examine the effects of teacher on fourth-grade students' attitudes toward mathematics using data from TIMSS 2011. Students' attitudes toward mathematics included interest in learning mathematics, interest in mathematics lessons, and confidence in their mathematics ability. Teacher factors included mathematics professional development, confidence in teaching mathematics, teacher-centered mathematics instruction, and enhancing student mathematical thinking. The two level Hierarchical Linear Model was employed to analyze the relationship between teacher factors and student attitudes. Results showed that teacher-centered mathematics instruction significantly and positively predicted students' confidence about their mathematics ability. The findings suggest that school systems and mathematics educators need to provide teachers with the curriculum, assessment, and research-based practices and knowledge to overcome the obstacles to change their mathematics classroom.