• 한국IT서비스학회지
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• 제13권3호
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• pp.183-200
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• 2014

Online brand communities have become a major component of marketing strategy given that these communities encourage participation and share the culture of Web 2.0 core concepts to Internet users. This study investigated the effects of social capital and knowledge quality on the success of online brand communities. A research model suggests that trust among members and the identification derived from social capital theory and knowledge quality influence individual community participation; knowledge quality also influences brand trust. In turn, community participation and brand trust develop brand loyalty. The model was empirically analyzed using structural equation modeling with data from online brand community members in Korea. The results indicate that identification and knowledge quality significantly affects brand trust and brand loyalty through community participation. This study provides a basis for developing a success model for online brand communities. Also, this study identifies a new role of knowledge quality in an online brand community context.

• 한국정보시스템학회지:정보시스템연구
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• 제12권1호
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• pp.47-66
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• 2003

This study was examined the relationship between the exogenous and endogenous variables in our model to measure ERP system performance using path analysis. The exogenous variables are system quality, user participation, user training, top management support and self-efficacy, and the endogenous variables are system usage, user satisfaction, and work efficiency. The results of the study are shown as follows. First, all the exogenous variables in our model have a direct effect on user satisfaction, and system quality, training, and self-efficacy have a direct effect on system usage. Second, system usage has a direct effect on user satisfaction and user satisfaction has a direct effect on work efficiency. The findings show that the exogenous variables in the model are important to increase ERP implementation success.

• Journal of Information Technology Applications and Management
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• 제14권1호
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• pp.117-135
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• 2007

Globalization changes in market structures and consumer needs, as well as technology innovations force organizations to adopt new structures and collaborative networks to cope with rapidly changing environments. These Collaborative Networks are based on the Idea of virtual enterprise. A virtual enterprise(VE) is a temporary alliance of globally distributed independent enterprises that share core competencies and computer networks. This paper presents a proposal for a methodology to measure a key factor of success and risk First of all, we chose thirty experts' defines on virtual enterprise, fifteen are academic specialist and other fifteen are from industry. For this study we define twenty two factors determining VE's success and seventeen factors determining VE's risk using by Delphi method. And we built the influence model on virtual enterprise. A research model was established according to preceeding research and consensus on experts then the revised model of key factors on virtual enterprise. This survey was based on the Analytical Hierarchy Process (AHP). AHP is an approach to decision making that involves structuring multiple choice criteria into a hierarchy, the assessing the relative important of these criteria, comparing alternative for each criteria, and determining an overall ranking of the alternatives. A model was constructed as 3 level hierarchy. The hierarches are organizational, strategic, technical criteria. for success model on VE has 22 factors and 17 factors for risk model. They are selected by all 30 experts. 14 copies among 30 copies distributed to carry out on the Analytical Hierarchy Process (AHP). Consistency ratio confirm high validity and reliability of instrument and support theoretical model. The results of this study are summarized as follows. (1) This study presented success on VE influenced strategic criteria, and essential factor is Creating a value. Risk on VE influenced strategic criteria, and essential factor is Outcome/Distribution. (2) Its enable that ranking the criteria influence on VE. These are supported VE management and using guideline of VE.

• 대한기계학회논문집A
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• 제34권9호
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• pp.1153-1160
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• 2010

일반적으로 보상운동보다는 균형상실을 검출하는 방법이 낙상을 예측하는데 효과적이다. 균형상실을 검출하는 알고리즘은 크게 데이터 처리부, 내부 모델 구성부, 검출부로 구성된다. 이 알고리즘에서 가장 중요한 부분은 내부 모델 구성부이다. 본 연구의 목적은 이 알고리즘에서 사용되는 변수들 중 내부 모델과 관계된 변수들이 검출 성공률에 끼치는 영향을 규명하는 것이다. 내부 모델과 관계된 변수는 내부 모델의 선형화에 필요한 변수와 알고리즘의 실행 주기에 대한 변수이다. 각각의 변수들이 가지는 중요도 평가하기 위하여 검출 성공률에 대한 민감도를 분석하였다. 분석 결과 가장 민감한 변수는 알고리즘의 실행 주기이며, 주기가 0.3초일 때 검출 성공률이 97.1%로 가장 좋게 나왔다. 또한 주어진 변수들에 대하여 검출 성공률이 95% 이상이 되는 설계 변수의 범위를 제시하였다.

• 한국품질경영학회:학술대회논문집
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• 한국품질경영학회 2010년도 춘계학술대회
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• pp.435-439
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• 2010

The purpose of this paper is to design a new management model based on the grill-formed product charscteristic area(PCA) which specify the position of products classified by the level of market and technology. This product characteristic area is composed of 9 cells and the cases sorted by market and technology are analyzed by each cell. Conclusion of this study based on many significant results gained by the various multi-variate analysis is summarized as follows; First, it can be noted that success/failure factor and progress stages are different by each cell. Second, a new management model is designed by combining the Motive Resource, Success/Failure(S/F) factors, and Progress Stages of New Product Development. Third, success products featured a balance between marketing oriented and technically oriented activities. A new attemp that combine S/F factors with development stages by each product cell will be of great usefulness for further study.

• 한국지능시스템학회논문지
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• 제20권1호
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• pp.123-128
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• 2010

어떤 한 프로젝트를 성공할 가능성을 높이기 위해서는 그 성과에 영향을 줄 수 있는 요소들에 대해 정의할 필요가 있다. 인지도는 관련있는 요소들의 인과관계를 조사함으로써 분석하는데 널리 사용되고 있다. 퍼지인지도는 인관관계의 연결강도를 통해 피드백의 개념을 추가한 인지도의 확장 개념을 가지고 있다. 프로젝트 성과는 입력 자원, 수행가능성, 타인의 관심 정도 등에 의해 영향을 받는다. 본 논문에서는 프로젝트의 성과와 이런 요소들간의 인과관계의 정도를 조사 분석하기 위해 퍼지인지도를 활용하여 기업프로젝트의 성공을 위한 모델을 개발하고자 한다.

• Animal Bioscience
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• 제34권7호
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• pp.1100-1104
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• 2021

Objective: The objective of present study was to estimate heritability of non-return rate (NRR) and success of first insemination (SFI) by using the Bayesian approach with Gibbs sampling. Methods: Heifer Traits were denoted as NRR-h and SFI-h, and cow traits as NRR-c and SFI-c. The variance covariance components were estimated using threshold model under Bayesian procedures THRGIBBS1F90. Results: The SFI was more relevant to evaluating success of insemination because a high percentage of animals that demonstrated no return did not successfully conceive in NRR. Estimated heritability of NRR and SFI in heifers were 0.032 and 0.039 and the corresponding estimates for cows were 0.020 and 0.027. The model showed low values of Geweke (p-value ranging between 0.012 and 0.018) and a low Monte Carlo chain error, indicating that the amount of a posteriori for the heritability estimate was valid for binary traits. Genetic correlation between the same traits among heifers and cows by using the two-trait threshold model were low, 0.485 and 0.591 for NRR and SFI, respectively. High genetic correlations were observed between NRR-h and SFI-h (0.922) and between NRR-c and SFI-c (0.954). Conclusion: SFI showed slightly higher heritability than NRR but the two traits are genetically correlated. Based on this result, both two could be used for early indicator for evaluate the capacity of cows to conceive.

• 품질경영학회지
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• 제42권3호
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• pp.509-522
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• 2014

Purpose: The purpose of this paper is to identify Six Sigma success factors and analyse the effects of Six Sigma success factors and innovation capability on innovation performance. Methods: The study build a research framework which include the variables of Six Sigma success factors, innovation capability, and innovation performance. A sample of 127 survey questionnaires is taken to test the proposal theoretical model through structural equations modeling using AMOS 20.0. Results: This study proves that there are the positive relationship between Six Sigma success factors, innovation capability, and innovation performance. It also confirms that there are the partial mediating effects of innovation capability between Six Sigma success factors and innovation performance. Conclusion: There are various factors affecting innovation performance of firms. This study provide the mechanism transformed from Sig Sigma to innovation performance.

• 정보기술과데이타베이스저널
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• 제8권2호
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• pp.17-40
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• 2001

The purpose of this study is to empirically identify the critical success factors of MRO e-marketplace. The research model presented in this study suggests that the success of MRO e-marketplace depends on environment of organization, type of product and service, and system of MRO e-marketplace. The major empirical findings of a survey of 38 firms in Korea are as follows: 1) The managers of firms have a deep concern on the effectiveness of MRO e-marketplace and are satisfied with the time saving provided by the transaction through MRO e-marketplace. 2) The variables affecting the success of MRO e-marketplace are classified into eight factors representing the characteristics of environment of organization, type of product and service, and system of MRO e-marketplace. 3) Among eight factors extracted from factor analysis, three factors are highly associated with the success of MRO e-marketplace. More specifically, the three factors, such as inside environment of company, capability of product supply, and basic function of MRO e-marketplace system, are the most Important factors affecting the success of MRO e-marketplace. The implications of the study are discussed and furlher research directions are proposed.

• 디지털융복합연구
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• 제1권1호
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• pp.45-67
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• 2003

Developing user success metric will make it possible to evaluate the effectiveness of different electronic government systems and will help produce empirical data relating user success to task performance in electronic government environments. The purpose of this study is that combining output-oriented and interaction-oriented variables together into a single model might explain more of the variance in the dependent variable user success in a electronic government than either type of variable could have explained alone. The hypothesized reason is that user success is the result of the reciprocal effects of the properties of the information system and several facets of psychological functioning. Thus, the complex interplay between the system and the user in certain situational contorts may produce different degrees of user success with electronic governments.