• 직업교육연구
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• 제29권3호
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• pp.133-156
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• 2010

이 논문은 기업에서 학습지원이 개인의 학습참여와 조직학습에 어떠한 영향을 미치는 지를 분석하였다. 구체적으로, 기업에서 학습지원이 개인의 학습참여에 미치는 영향을 살펴보았고, 기업에서의 학습지원과 개인의 학습참여가 조직학습에는 어떠한 영향을 미치는지를 검토하였다. 이를 위해 한국고용정보원과 연세대학교가 공동으로 실시한 '대졸 청년층 직장생활 적응능력 향상 연구'의 설문조사 자료를 분석하였다. 통계 분석을 위해서 위계적 선형모형을 적용하였다. 분석 결과, 기업에서 형식학습과 무형식학습의 지원여부는 개인의 형식학습 참여와 공식적 관계학습참여에 유의미한 영향을 미쳤다. 또한, 기업의 학습지원과 개인의 학습참여는 조직학습의 각 요소(수용력, 조직기억, 학습능력, 환경적응)에 긍정적인 영향을 미치는 것으로 나타났다.

• Asia pacific journal of information systems
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• 제15권4호
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• pp.27-60
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• 2005

The purpose of this study is to call attention to the consensus of stakeholders of corporate e-Learning system for the sake of its success. We identified the critical success factors(contents, technical features, management, and organizational support) as major components of corporate e-Learning systems and questioned whether stakeholders' consensus on the importance of these components facilitates the successful implementation of these components. We also questioned whether the influence of these components on user satisfaction could be moderated by contextual factors. Based on empirical testing of 18 e-Learning user companies, we verified that the consensus of stakeholders regarding the importance of content, technological features, and organizational support has a positive influence on the perceived quality of these factors in their e-Learning systems, which in turn is positively related to user satisfaction. The learning subjects and learning style did significantly moderate the influences of these perceived qualities on user satisfaction.

• 디지털산업정보학회논문지
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• 제18권1호
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• pp.125-138
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• 2022

Companies want organizational members who take e-learning courses to enjoy the advantages of transcending time and space that e-learning has, but also want what they have learned to help the organization, the work they perform, or their future careers. In addition, while enjoying the effect of reducing education costs compared to offline education through e-learning, it is expected that executives and employees will apply the knowledge and skills learned to the field and perform tasks to achieve results. As COVID-19 continues, many education programs that have been conducted offline at corporate sites have been converted to e-learning, with a larger number of e-learning operations than in the past. This study was conducted based on the perception that learners' learning satisfaction is important for the successful operation of e-learning education, and that learners' own self-directed learning ability and self-determination are important as well as corporate efforts. As a result of the study, hypotheses 1-1, 1-2, 1-3-1, and 1-3-2 that the better the self-determination (autonomy, competence, full-time support, and peer support) is, the higher the learning satisfaction will be. Both Hypothesis 2-1 and Hypothesis 2-2 were adopted that the better self-directed learning (subjectivity, execution ability) is, the higher the learning satisfaction will increase. In conclusion, it is necessary to properly introduce the concepts of self-determination and self-directed learning in corporate education while operating with the corporate education system.

• 아태비즈니스연구
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• 제12권4호
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• pp.13-40
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• 2021

Purpose - The purpose of this study is to predict corporate corruption in emerging markets such as Brazil, Russia, India, and China (BRIC) using different machine learning techniques. Since corruption is a significant problem that can affect corporate performance, particularly in emerging markets, it is important to correctly identify whether a company engages in corrupt practices. Design/methodology/approach - In order to address the research question, we employ predictive analytic techniques (machine learning methods). Using the World Bank Enterprise Survey Data, this study evaluates various predictive models generated by seven supervised learning algorithms: k-Nearest Neighbour (k-NN), Naïve Bayes (NB), Decision Tree (DT), Decision Rules (DR), Logistic Regression (LR), Support Vector Machines (SVM), and Artificial Neural Network (ANN). Findings - We find that DT, DR, SVM and ANN create highly accurate models (over 90% of accuracy). Among various factors, firm age is the most significant, while several other determinants such as source of working capital, top manager experience, and the number of permanent full-time employees also contribute to company corruption. Research implications or Originality - This research successfully demonstrates how machine learning can be applied to predict corporate corruption and also identifies the major causes of corporate corruption.

• 경영정보학연구
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• 제5권1호
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• pp.33-48
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• 2003

본 연구는 L기업의 사례를 중심으로 웹기반 온라인 기업교육의 성과에 영향을 미치는 다양한 요인들과 학습효과 요인들과의 관계를 분석하였다. 본 연구의 주요 분석결과를 요약하면 지각된 매체풍부성, 정보제공 기능, 교수자의 태도, 지각된 유용성이 원격교육의 성과에 강한 영향을 미치는 것으로 나타났으며, 상호작용 정도와 화면구성은 성과에 부분적인 영향을 미치는 것으로 나타났다. 본 연구결과를 종합적으로 살펴보면 학습자들의 학습효과에 영향을 미치는 요인들을 부분적으로 고려하는 것도 중요하지만 전반적인 효과를 기대하기 위해서는 무엇보다도 종합적인 접근이 이루어져야 함을 시사하고 있다. 즉 원격교육시스템이 기업교육의 효과성에 기여하기 위해서는 학습자, 교수자, 설계 요인을 체계적으로 고려하여 재설계되어야 한다.

• International Journal of Advanced Culture Technology
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• 제9권1호
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• pp.152-161
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• 2021

We study is to confirm the influence of the manager's learning support leadership perceived by the organizational members of small and medium-sized ICT companies on the learning agility and job satisfaction of the organizational members. In addition, this study was to confirm the relationship between learning agility and job satisfaction and the mediating effect of learning agility. To this end, the statistical package program SPSS 24.0 and SPSS PROCESS Macro Model were used for 352 copies. In other words, the results of analysis through frequency analysis, reliability analysis, factor analysis, regression analysis, and bootstrapping method to verify the established research hypothesis are as follows. First, the leadership of the manager's learning support showed a positive effect on job satisfaction. Second, the leadership of the manager's learning support showed a positive effect on learning agility. Third, learning agility was statistically significant in job satisfaction. Fourth, learning agility showed a mediating effect between learning support leadership and job satisfaction. As shown in the results of this study, it was shown that in order to improve the job satisfaction of organizational members, the learning support leadership of the manager and the learning agility of the members can be systematically improved. In other words, in terms of strategic human resource management and strategic human resource development, the organization was required to establish systematic systems and continue to implement them. In particular, there was a need for the development and operation of programs that could develop and improve competency for learning support leadership and learning agility.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2005년도 공동추계학술대회
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• pp.571-578
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• 2005

Corporate credit rating analysis has drawn a lot of research interests in previous studies, and recent studies have shown that machine learning techniques achieved better performance than traditional statistical ones. This paper applies support vector machines (SVMs) to the corporate credit rating problem in an attempt to suggest a new model with better explanatory power and stability. To serve this purpose, the researcher uses a grid-search technique using 5-fold cross-validation to find out the optimal parameter values of kernel function of SVM. In addition, to evaluate the prediction accuracy of SVM, the researcher compares its performance with those of multiple discriminant analysis (MDA), case-based reasoning (CBR), and three-layer fully connected back-propagation neural networks (BPNs). The experiment results show that SVM outperforms the other methods.

• Asia pacific journal of information systems
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• 제25권3호
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• pp.579-596
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• 2015

Many studies have focused on the prediction of corporate credit rating using various data mining techniques. One of the most frequently used algorithms is support vector machines (SVM), and recently, novel techniques such as SVM+ and SVM+MTL have emerged. This paper intends to show the applicability of such new techniques to multi-classification and corporate credit rating and compare them with conventional SVM regarding prediction performance. We solve multi-class SVM+ and SVM+MTL problems by constructing several binary classifiers. Furthermore, to demonstrate the robustness and outstanding performance of SVM+MTL algorithm over other techniques, we utilized four typical multi-class processing methods in our experiments. The results show that SVM+MTL outperforms both conventional SVM and novel SVM+ in predicting corporate credit rating. This study contributes to the literature by showing the applicability of new techniques such as SVM+ and SVM+MTL and the outperformance of SVM+MTL over conventional techniques. Thus, this study enriches solving techniques for addressing multi-class problems such as corporate credit rating prediction.

• 산경연구논집
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• 제9권8호
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• pp.35-40
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• 2018

Purpose - The purpose of this study is to conduct a monitoring study on the learning process of e-learning contents. This study has two research objectives. First, by conducting monitoring research on the learning process, we aim to explore the implications for content development that reflects future student needs. Second, we want to collect empirical basic data on the estimation of appropriate amount of learning. Research design, data, and methodology - This study is a case study of learner's learning process in e-learning. After completion of the study, an in-depth interview was made after conducting a test to measure the total amount of cognitive load and the level of engagement that occurred during the learning process. The tool used to measure cognitive load is NASA-TLX, a subjective cognitive load measurement method. In the monitoring process, we observe external phenomena such as page movement and mouse movement path, and identify cognitive activities such as Think-Aloud technique. Results - In the total of three research subjects, the two courses showed excess learning time compared to the learning time, and one course showed less learning time than the learning time. This gives the following implications for content development. First, it is necessary to consider the importance of selecting the target and contents level according to the level of the subject. Second, it is necessary to design the learner participation activity that meets the learning goal level and to calculate the appropriate time accordingly. Third, it is necessary to design appropriate learning support strategy according to the learning task. This should be considered in designing lessons. Fourth, it is necessary to revitalize contents design centered on learning activities such as simulation. Conclusions - The implications of the examination system are as follows. First, it can be confirmed that there is difficulty in calculating the amount of learning centered on learning time and securing objective objectivity. Second, it can be seen that there are various variables affecting the actual learning time in addition to the content amount. Third, there is a need for reviewing the system of examination of learning amount centered on 'learning time'.

• 한국인터넷방송통신학회논문지
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• 제16권4호
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• pp.189-196
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• 2016

본 연구는 기업 모바일러닝에서 자기효능감, 지각된유용성, 상사 및 동료의 지원, 만족도, 전이동기 간의 인과관계를 규명하는 것을 목적으로 하였다. 이를 위해 국내기업 A사에서 실시한 모바일러닝 학습자 302명을 대상으로 온라인 설문조사를 실시하였다. 연구 결과 첫째, 자기효능감, 지각된유용성, 상사 및 동료의 지원이 만족도에 유의한 영향을 미쳤다. 둘째, 상사 및 동료의 지원, 만족도가 전이동기에 유의한 영향을 미쳤다. 셋째, 만족도가 자기효능감과 지각된 유용성 간의 관계를 완전매개 하였고, 상사 및 동료의 지원과 전이동기 간의 관계를 부분매개함을 확인하였다. 위와 같은 연구결과는 기업 모바일러닝에서 전이동기 수준을 높이기 위해 조직 내 상사 및 동료의 적극적인 지원이 가능한 조직환경을 조성할 필요가 있으며, 자기효능감을 높이고 모바일 정보수용기술에 대한 유용성을 높게 지각하도록 전략을 수립하여 학습에 대한 만족도를 향상시켜야 함을 시사한다.