기업교육에서 지식표상이 학업성취도와 업무성과에 미치는 영향

김구종,한승연 한국기업교육학회 2017 기업교육과인재연구 Vol.19 No.4

To correspond to economic and social changes companies make efforts to enhance individual and organizational competency through training. However, training does not always guarantee educational effectiveness in terms of transfer in job situation or improving ROI. Although transfer is getting much more attention recently as a salient indicator of effectiveness of training, the effectiveness of different learning transfer strategies were not fully verified yet. Therefore the purpose of this study was to investigate effectiveness of knowledge representation activity as one of the learning transfer strategies in salesperson training program. The research questions are as follows. First, is there any difference in learning achievement according to knowledge representation activity in salesperson education? Second, is there any difference in sales outcome according to knowledge representation activity through presentation task in salesperson training? Third, what is the correlation between learning achievement and sales outcomes through knowledge representation activities? Participant of this study was 76 sales person in A health functional food company located in Seoul, Busan, and Chungcheong area. The result of the study are as follows. First, the experimental group improved the academic achievement a significantly compared to the control group. Second, the experiment group improved sales outcome significantly compared to the control group. Third, academic achievement and sales were positively correlated with knowledge representation activities. As a result, the difference in academic achievement was proved to be positively correlated with the difference in sales of sales. In conclusion, knowledge representation activity improve achievement and sales outcomes, and there is positive correlation between achievement and sales outcomes. 국내외 경제상황이 침체되면서 기업들은 내부직원 역량강화를 통한 기업경쟁력을 향상을 위해 HRD를 강화하고 있다. 특히 학습한 내용을 실제 업무에 일반화하고 일정 기간 동안 유지하는 학습전이에 대한 관심이 높아지고 있는데, 많은 관심과 연구에도 불구하고 여전히 학습한 내용을 현장에 적용하는 비율이 낮은 것으로 지적되고 있다. 따라서 본 연구는 A기업에서 76명을 대상으로 영업사원 교육에서 학습전이의 효과성에 대한 실증적인 연구를 수행하였다. 연구 문제는 다음과 같았다. 첫째, 영업사원 교육에서 발표과제를 통한 지식표상에 따라 학업성취도에 차이가 있는가? 둘째, 영업사원 교육에서 발표과제를 통한 지식표상에 따라 영업매출에 차이가 있는가? 셋째, 지식표상을 통한 학업성취도와 영업매출은 어떤 상관관계를 갖는가? 이를 위해 A사 건강기능식품 방문판매원을 대상으로 실험연구를 통해 사전-사후 학업성취도 변화를 조사하고 영업매출의 성과변화를 조사하였다. 연구결과는 다음과 같았다. 첫째, 지식표상 활동을 실행한 실험군은 통제군에 비해 학업성취도가 유의미한 수준으로 향상되었다. 둘째, 지식표상 활동을 실행한 실험군은 통제군에 비하여 업무성과가 유의미한 수준으로 향상되었다. 셋째 지식표상 활동을 통한 학업성취도와 영업매출은 정적 상관관계가 있는 것으로 나타났다.

4차 산업혁명 시대 역량 규명을 위한 연구 동향 분석

김구종(Koo jong Kim),노아영(Ah young Noh),고유진(Youjin Ko),송영수(Young soo Song) 한국인적자원관리학회 2022 인적자원관리연구 Vol.29 No.4

본 연구는 4차 산업혁명 및 디지털 전환 역량과 관련된 176개의 선행연구를 기반으로 빈도 분석과 네트워크 분석을 통한 메타분석 연구이다. 국내외 기관·학술자료·도서 등의 선행연구로부터 역량을 추출하고 통제 및 범주화 작업을 거쳐 최종 역량을 도출하였으며 이를 학계와 산업계로 나누어 분석하였다. 분석 결과 '의사소통'과 '창의성', '협업 능력'에 대한 역량이 가장 높은 빈도를 보였으며, 학계에서는문제 해결과 문제 발견이 업계에서는 ICT 기술과 융합적 사고력 등이 뒤를 이었다. 또한, 연결 중심성, 매개 중심성, 위세 중심성의 네트워크 분석을 실시하였다. 그 결과 연결 중심성에서는 의사소통과 창의성역량이 학계와 산업계 모두에서 높은 중심성을 보이는 것으로 나타났다. 또한, 위세 중심성 분석 결과 학계에서는 의사소통, 문제 해결, 창의성, 협업 능력, 문제 발견 역량이, 산업계에서는 창의성, 자기주도성, 유연성, 리더십, 문제 해결이 상위 역량으로 도출되었다. 본 연구는 4차 산업혁명 시대에서 요구되는 역량들을 학계와 산업계를 기준으로 그 차이를 확인하고자 하였으며, 역량 간의 관계성을 확인함으로써 추후역량 연구의 방향성과 실천적 함의를 제시하고자 하였다. This study is a meta-analysis study through frequency analysis and network analysis based on 176 previous studies related to the 4th industrial revolution and digital transformation competencies. Competencies were extracted from previous studies such as domestic and foreign institutions, academic data, and books, and final competencies were derived through control and categorization, and these were divided into academia and industry. As a result of the analysis, the capabilities for 'communication', 'creativity', and 'collaboration ability' showed the highest frequency. And following the previous competencies, the academic community showed a high frequency of problem-solving and problem-discovering, and the industry showed a high frequency of convergent thinking with ICT technology. In addition, network analysis of degree centrality, centrality, and eigenvector centrality was conducted. As a result, in degree centrality, communication and creativity competencies showed high centrality in both academia and industry. In addition, as a result of the eigenvector-centered analysis, communication, problem-solving, creativity, collaboration ability, problem discovery ability in academia, and creativity, self-directedness, flexible leadership, and problem-solving were derived as upper competencies in the industry. This study attempted to confirm the difference in competencies required in the era of the 4th Industrial Revolution based on academia and industry and to present the direction and practical implications of future competency research by confirming the relationship between competencies.

주성분 분석기법을 이용한 선박의 연료소비 예측에 관한 연구

김영롱,김구종,박준범 한국항해항만학회 2019 한국항해항만학회지 Vol.43 No.6

최근 선박의 배기가스 규제가 강화되면서 연료소비량을 저감하기 위한 많은 방안들이 검토되고 있다. 그중에서도 선박으로부터 수집한 데이터를 활용하여 연료소모량을 예측하는 기계학습 모델을 개발하고자 하는 연구가 활발히 수행되고 있다. 하지만 많은 연구들이 학습모델의 주요 변수 선정이나 수집데이터의 처리 방법에 대한 고려가 미흡하였으며, 무분별한 데이터의 활용은 변수 간의 다중공선성 문제를 야기할 수도 있다. 본 연구에서는 이러한 문제점을 해결하기 위하여 주성분 분석을 이용하여 선박의 연료소비를 예측하는 방법을 제시하였다. 13K TEU 컨테이너 선박의 운항데이터에 주성분 분석을 수행하였으며, 추출한 주성분으로 회귀분석을 수행하여 연료소비 예측모델을 구현하였다. 평가용 데이터에 대한 모델의 설명력은 82.99%이었으며, 이러한 예측모델은 항해 계획 수립 시 운항자의 의사결정을 지원하고 항해 중 에너지 효율적인 운항상태 모니터링에 기여할 수 있을 것으로 기대된다. As the regulations of ship exhaust gas have been strengthened recently, many measures are under consideration to reduce fuel consumption. Among them, research has been performed actively to develop a machine-learning model that predicts fuel consumption by using data collected from ships. However, many studies have not considered the methodology of the main parameter selection for the model or the processing of the collected data sufficiently, and the reckless use of data may cause problems such as multicollinearity between variables. In this study, we propose a method to predict the fuel consumption of the ship by using the principal component analysis to solve these problems. The principal component analysis was performed on the operational data of the 13K TEU container ship and the fuel consumption prediction model was implemented by regression analysis with extracted components. As the R-squared value of the model for the test data was 82.99%, this model would be expected to support the decision-making of operators in the voyage planning and contribute to the monitoring of energy-efficient operation of ships during voyages.

디지털 변혁(DT) 시대 서울 소재 중소기업 최고경영진의 산업별 ICT 기술 교육 요구도 분석

노아영 ( Ah Young Noh ),김구종 ( Koo Jong Kim ),송영수 ( Young Soo Song ) 한국인적자원관리학회 2022 인적자원관리연구 Vol.29 No.3

Due to the Fourth Industrial Revolution, companies are facing numerous internal and external changes. Respond to these changes, company should adopt digital transformation by applying ICT technologies for continuous growth and development. However, SMEs that have limitations in purchasing and procuring physical and human resources experience difficulties in responding to these changes. As one of the alternatives to this, the need to strengthen the ICT technology capabilities of SME’s members is proposed. To improve the effectiveness of education to strengthen ICT technology capabilities of SME, the purpose of this study were to do the training need assessment of ICT technology by industry in the Digital Transformation era. For conducting the study, First, collect data from people who have completed ‘Digital Leadership courses for Seoul SME’ by Seoul Business Agency. Second, Based on collected data, conduct t-test, Borich’s educational need equation and the Locus for Focus model. The result of this study founds that ICT technologies belonging to the top priority group were different for each industry. In addition, Artificial Intelligence and Virtual reinforcement Reality was found to be factors that should be considered first in most industries. Also, Big data was found to be a factor that should be considered first in a specific industry. Based on the findings, theoretical and practical implication were discussed to improve the effectiveness for SME’s ICT technology capabilities.