• Title/Summary/Keyword: learning company

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Using Balanced Scorecard to Explore Learning Performance of Enterprise Organization

  • Chiu, Chung-Ching;Tsai, Chih-Hung;Chung, Yi-Chan
    • International Journal of Quality Innovation
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    • v.8 no.1
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    • pp.40-75
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    • 2007
  • In the early industrial age which with high intensity of machine and labor, using financial measurement index was good enough to tie in company's mechanization and philosophy of management and been in efficiency. But being comply with "New Economic age," a new economic environment is full of knowledge and information, the enterprise competition had changed from tangible assets, plants to intangible innovation ability of knowledge. As recognizing the new tendency by enterprise, they value gradually the growth and influence from learning. Practice of organization learning not only needs firm structure and be in coordination with both hardware and software, but also needs an affect measurement model to offer enterprise to estimate learning performance. It's a good instrument of financial performance measure mold in the past years, But it's for measuring the past, couldn't formulate enterprise trend to future, hard to estimate investment for future, such as development of products, organization learning, knowledge management etc, as which intangible assets and knowledge ability just the key factors of being win around competition environment in the future. In 1992, Kaplan and Norton brought up Balance Scorecard (BSC) on Harvard Business Review, as an instrument helping enterprise to measure performance, which is being considered to be a most influence management instrument. It added non-financial index such as customer, internal process and learning growth besides traditional financial index, as offering enterprise an index to measure and manage intangible assets and intellectual property. As being aware of organization learning is hard to be ignored in the new economic age, this research is based on learning and growth of BSC, and citing one national material company try to let the most difficult measurement performance of organization learning, to be estimate through BSC, analyze of factor and individual case, to discuss the company how to make the related strategy and vision of organization learning to develop learning and growth of the structure of BSC, subject the matter of out put factors to be discussed, and measure the outcomes as a result of research. The research affect offers (1) the base implement procedure of carrying out BSC; (2) the reference of formulating measurement index while enterprise using BSC to estimate performance of organization learning; (3) the possibility bottleneck maybe forcing while carrying out BSC, to be an improvement or preventive for enterprise.

The Effects of Online Real-time Constuctivist Practical Trainings in an IT Company (IT 기업의 구성주의 교수학습환경 기반 실시간 온라인 실습 교육 효과 분석)

  • Ahn, Seulki;Lee, Myunggeun
    • Journal of Engineering Education Research
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    • v.27 no.2
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    • pp.25-34
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    • 2024
  • Due to the Covid-19 pandemic, it seems to have been impossible to run offline training courses. To overcome this situation, online training courses has been emerged. Just moving the educational environment from offline to online instead of re-designing the curriculum, however, is not effective for trainees. To maximize educational effectiveness, it is necessary to re-design the curriculum based on constructivist appoach which gives trainees experience on skills and knowledge about their job. As for re-designing the curriculum into real-time online practical learning based on constructivism, learning satisfaction and work efficacy of trainees may have been increased. From these results, HRD professionals in an IT company should need to consider how to structure the curriculum when they design the real-time online practical learnings.

An Exploratory Study on the Effects of Innovation and Business Performance of CEO's Internal and External Activities (CEO의 내·외부 활동이 혁신과 경영성과에 미치는 영향에 대한 탐색적 연구)

  • Choi, Sung-Pyo;Uh, Soo-Bong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.11
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    • pp.302-313
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    • 2016
  • This study conducts statistical analysis based on a survey of 300 CEOs from Korean companies in order to examine the effects of a CEO's internal?external activities (information, knowledge management, learning organization) on business innovation activity (exploitative, exploratory) and business performance. Analysis results show that learning organization activity had a significant positive (+) effect on exploitative and exploratory innovation activity. In addition, knowledge management activity lacked statistically significant effects on exploratory innovation activity. Furthermore, exploitative and exploratory innovation activity was affected by CEO's internal?external activities (information, knowledge management, learning organization) and had a significant positive (+) effect on company's business performance. but it was shown that the level of influence was different. Results of this study imply that maximizing business performance through developing innovation activity by CEO's internal?external activities (information, knowledge management, learning organization) in the company, extracting activity advantageous to company's business environment based on activity perceived in the precedent study and business strategy becomes advantageous to the attainment of business performance objectives.

The Effect of Supply Chain Management on Stakeholder Engagement: Empirical Evidence from Indonesia

  • DARMASTUTI, Ismi;GHOZALI, Imam;DJASTUTI, Indi
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.4
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    • pp.1013-1020
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    • 2021
  • This study examines the role of dynamic socio-emotional capabilities to increase proactive stakeholder engagement in family businesses. The research sample includes all furniture enterprises scattered in Jepara Regency sub-districts as many as 3,945 companies. The sampling in this research is purposive; as many as 210 respondents, 181 could be used. The sampling unit is the owners and managers, considering that most company owners are also company managers. This study examines how learning and supply chain management in the family business can be integrated to enable a set of resources and capabilities provided by the family to be developed to build closer relationships with stakeholders. The findings showed the importance of a family business's supply chain management perspective in the relationship between dynamic socio-emotional capabilities to mediate organizational learning to proactive stakeholder engagement significantly. Based on this study's results, companies can build dynamic socio-emotional capabilities through organizational learning to increase proactive stakeholder engagement. Dynamic socio-emotional capabilities proved to play a role as a mediator for organizational learning by family companies for proactive stakeholder engagement.

Corporate Corruption Prediction Evidence From Emerging Markets

  • Kim, Yang Sok;Na, Kyunga;Kang, Young-Hee
    • Asia-Pacific Journal of Business
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    • v.12 no.4
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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.

A Study on the Effect of Charismatic Leadership on Motivation to Learn in Learning Organization Support Project (학습조직화 사업의 강한 리더십이 학습동기에 미치는 영향)

  • Park, Jin-Ah;Lee, Sug-Min
    • Industry Promotion Research
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    • v.1 no.1
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    • pp.65-70
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    • 2016
  • This study verified the effect of charismatic leadership on motivation to learn and the moderating effect of level of building learning organization in learning organization support project. Survey was conducted for manufacture company participating in learning organization support project. Charismatic Leadership positively affected motivation to learn, specifically vision-related behaviors positively affected task value. At the same time, the moderating effect of level of building learning organization was verified and specifically personal mastery and team learning moderated the effect of charismatic leadership on motivation to learn. This study results provided academic and practical implications for operating successful learning organization of company.

Frontal Face Video Analysis for Detecting Fatigue States

  • Cha, Simyeong;Ha, Jongwoo;Yoon, Soungwoong;Ahn, Chang-Won
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.6
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    • pp.43-52
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    • 2022
  • We can sense somebody's feeling fatigue, which means that fatigue can be detected through sensing human biometric signals. Numerous researches for assessing fatigue are mostly focused on diagnosing the edge of disease-level fatigue. In this study, we adapt quantitative analysis approaches for estimating qualitative data, and propose video analysis models for measuring fatigue state. Proposed three deep-learning based classification models selectively include stages of video analysis: object detection, feature extraction and time-series frame analysis algorithms to evaluate each stage's effect toward dividing the state of fatigue. Using frontal face videos collected from various fatigue situations, our CNN model shows 0.67 accuracy, which means that we empirically show the video analysis models can meaningfully detect fatigue state. Also we suggest the way of model adaptation when training and validating video data for classifying fatigue.

The Impact of Human Resource Innovativeness, Learning Orientation, and Their Interaction on Innovation Effect and Business Performance : Comparison of Small and Medium-Sized vs. Large-Sized Companies (인적자원의 혁신성, 학습지향성, 이들의 상호작용이 혁신효과 및 사업성과에 미치는 영향 : 중소기업과 대기업의 비교연구)

  • Yoh, Eunah
    • Korean small business review
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    • v.31 no.2
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    • pp.19-37
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    • 2009
  • The purpose of this research is to explore differences between small and medium-sized companies and large-sized companies in the impact of human resource innovativeness(HRI), learning orientation(LO), and HRI-LO interaction on innovation effect and business performance. Although learning orientation has long been considered as a key factor influencing good performance of a business, little research was devoted to exploring the effect of HRI-LO interaction on innovation effect and business performance. In this study, it is investigated whether there is a synergy effect between innovative human workforce and learning orientation corporate culture, in addition to each by itself, to generate good business performance as well as a success of new innovations in the market. Research hypotheses were as follows, including H1) human resource innovativeness(HRI), learning orientation(LO), and interactions of HRI and LO(HRI-LO interaction) positively affect innovation effect, H2) there is a difference of the effect of HRI, LO, and HRI-LO interaction on innovation effect between large-sized and small-sized companies, H3) HRI, LO, HRI-LO interaction, innovation effect positively affect business performance, and H4) there is a difference of the effect of HRI, LO, HRI-LO interaction, and innovation effect on business performance between large-sized and small-sized companies. Data were obtained from 479 practitioners through a web survey since the web survey is an efficient method to collect a national data at a variety of fields. A single respondent from a company was allowed to participate in the study after checking whether they have more than 5-year work experiences in the company. To check whether a common source bias is existed in the sample, additional data from a convenient sample of 97 companies were gathered through the traditional survey method, and were used to confirm correlations between research variables of the original sample and the additional sample. Data were divided into two groups according to company size, such as 352 small and medium-sized companies with less than 300 employees and 127 large-sized companies with 300 or more employees. Data were analyzed through t-test and regression analyses. HRI which is the innovativeness of human resources in the company was measured with 9 items assessing the innovativenss of practitioners in staff, manager, and executive-level positions. LO is the company's effort to encourage employees' development, sharing, and utilizing of knowledge through consistent learning. LO was measured by 18 items assessing commitment to learning, vision sharing, and open-mindedness. Innovation effect which assesses a success of new products/services in the market, was measured with 3 items. Business performance was measured by respondents' evaluations on profitability, sales increase, market share, and general business performance, compared to other companies in the same field. All items were measured by using 6-point Likert scales. Means of multiple items measuring a construct were used as variables based on acceptable reliability and validity. To reduce multi-collinearity problems generated on the regression analysis of interaction terms, centered data were used for HRI, LO, and Innovation effect on regression analyses. In group comparison, large-sized companies were superior on annual sales, annual net profit, the number of new products/services in the last 3 years, the number of new processes advanced in the last 3 years, and the number of R&D personnel, compared to small and medium-sized companies. Also, large-sized companies indicated a higher level of HRI, LO, HRI-LO interaction, innovation effect and business performance than did small and medium-sized companies. The results indicate that large-sized companies tend to have more innovative human resources and invest more on learning orientation than did small-sized companies, therefore, large-sized companies tend to have more success of a new product/service in the market, generating better business performance. In order to test research hypotheses, a series of multiple-regression analysis was conducted. In the regression analysis examining the impact on innovation effect, important results were generated as : 1) HRI, LO, and HRI-LO affected innovation effect, and 2) company size indicated a moderating effect. Based on the result, the impact of HRI on innovation effect would be greater in small and medium-sized companies than in large-sized companies whereas the impact of LO on innovation effect would be greater in large-sized companies than in small and medium-sized companies. In other words, innovative workforce would be more important in making new products/services that would be successful in the market for small and medium-sized companies than for large-sized companies. Otherwise, learning orientation culture would be more effective in making successful products/services for large-sized companies than for small and medium-sized companies. Based on these results, research hypotheses 1 and 2 were supported. In the analysis of a regression examining the impact on business performance, important results were generated as : 1) innovation effect, LO, and HRI-LO affected business performance, 2) HRI by itself did not have a direct effect on business performance regardless of company size, and 3) company size indicated a moderating effect. Specifically, an effect of the HRI-LO interaction on business performance was stronger in large-sized companies than in small and medium-sized companies. It means that the synergy effect of innovative human resources and learning orientation culture tends to be stronger as company is larger. Referring to these result, research hypothesis 3 was partially supported whereas hypothesis 4 was supported. Based on research results, implications for companies were generated. Regardless of company size, companies need to develop the learning orientation corporate culture as well as human resources' innovativeness together in order to achieve successful development of innovative products and services as well as to improve sales and profits. However, the effectiveness of the HRI-LO interaction would be varied by company size. Specifically, the synergy effect of HRI-LO was stronger to make a success of new products/services in small and medium-sized companies than in large-sized companies. However, the synergy effect of HRI-LO was more effective to increase business performance of large-sized companies than that of small and medium-sized companies. In the case of small and medium-sized companies, business performance was achieved more through the success of new products/services than much directly affected by HRI-LO. The most meaningful result of this study is that the effect of HRI-LO interaction on innovation effect and business performance was confirmed. It was often ignored in the previous research. Also, it was found that the innovativeness of human workforce would not directly influence in generating good business performance, however, innovative human resources would indirectly affect making good business performance by contributing to achieving the development of new products/services that would be successful in the market. These findings would provide valuable managerial implications specifically in regard to the development of corporate culture and education program of small and medium-sized as well as large-sized companies in a variety of fields.

The Role of the Lifelong Learning for Improving HRM Policy in a Company

  • OH, Su-Hyang
    • The Journal of Industrial Distribution & Business
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    • v.14 no.1
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    • pp.57-65
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    • 2023
  • Purpose: The purpose of this research paper, therefore, is to explore the role of lifelong learning in improving HRM policies in a company. This research begins with a literature review of existing research on the topic, followed by a discussion of the findings and their implications for practitioners. Research design, data and methodology: The present author of this research collected textual dataset based on the numerous literature which has been investigated thoroughly in terms of the HRM policy and lifelong learning. For this reason, the author could obtain adequate prior studies, checking their validity and reliability. Results: The present research figured out that demonstrating that physical activity and exercise can enhance life expectancy, improve physical and mental health, and improve functional ability, and Examining the broad topic of socialization and interaction's function in raising elderly adults' living standards is necessary. Also, this research found that the social change and social isolation of older individuals in relation to the impact of digital technology. Conclusions: This research suggests that companies should also ensure that their HRM policies are designed in such a way that they allow employees to pursue further learning and development opportunities without having to sacrifice their current job responsibilities.

A Study on Total Production Time Prediction Using Machine Learning Techniques (머신러닝 기법을 이용한 총생산시간 예측 연구)

  • Eun-Jae Nam;Kwang-Soo Kim
    • Journal of the Korea Safety Management & Science
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    • v.25 no.2
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    • pp.159-165
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    • 2023
  • The entire industry is increasing the use of big data analysis using artificial intelligence technology due to the Fourth Industrial Revolution. The value of big data is increasing, and the same is true of the production technology. However, small and medium -sized manufacturers with small size are difficult to use for work due to lack of data management ability, and it is difficult to enter smart factories. Therefore, to help small and medium -sized manufacturing companies use big data, we will predict the gross production time through machine learning. In previous studies, machine learning was conducted as a time and quantity factor for production, and the excellence of the ExtraTree Algorithm was confirmed by predicting gross product time. In this study, the worker's proficiency factors were added to the time and quantity factors necessary for production, and the prediction rate of LightGBM Algorithm knowing was the highest. The results of the study will help to enhance the company's competitiveness and enhance the competitiveness of the company by identifying the possibility of data utilization of the MES system and supporting systematic production schedule management.