• Educational Technology International
• /
• v.9 no.1
• /
• pp.1-23
• /
• 2008

Despite considerable commitment to the application of action learning as an organization development intervention, no identified systematic investigation of action learning practices has been reported. Based on a systematic literature review, the purpose of this paper is to identify whether researchers strike a balance between action and learning in their studies of action learning. Research findings in this study included: (1) only 32 empirical studies were found from the electronic database search; (2) based on the hypothesized continuum of Revans' original proposition of balancing action and learning, the author categorized 32 studies into three groups: action-oriented, learning-oriented, and balanced action learning; (3) there were only nine studies on balanced action learning among 32 empirical studies, whose insights included an effective use of project teams, applications of action learning for organization development, and key success factors such as time, reflection, and management support; (4) case study was among the most frequently used research method and only six quality studies met key methodological traits; and (5) therefore, more rigorous empirical research employing quantitative methods as well as case studies is needed to determine whether researchers strike a balance between action and learning in studies on action learning.

• ETRI Journal
• /
• v.38 no.4
• /
• pp.695-702
• /
• 2016

A hierarchical approach for fast bi-dimensional empirical mode decomposition (B-EMD) is proposed. The presented approach utilizes an efficient window size determination scheme that enables the multi-level computation of the order statistics filter (OSF). Our detailed experiments show that the proposed OSF computation approach allows a significantly faster computation of an EMD without degrading the decomposition accuracy.

• Informatization Policy
• /
• v.17 no.2
• /
• pp.3-24
• /
• 2010

This is to review all empirical research articles on knowledge management activities in Korean government agencies. Analyzed were forty six articles published in some major journals for the last decade. The results of analysis show that they mainly focused on such topics as what factors have statistically significant influences upon the knowledge-based activities and whether knowledge activities have achieved the intended performance. More research attentions have been paid upon both knowledge sharing and knowledge creation activities. Most of the empirical studies are dependent upon hypotheses testing, data collection in questionnaire, and the use of multivariate statistical methods. Some suggestions for future research are to do research on more diverse topics, to utilize various research methods, and to make an integrated approach to the knowledge management.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.46 no.spc
• /
• pp.79-88
• /
• 2023

This research aims to validate the effectiveness of the "Specialized Entrepreneurship University Program," which was conducted as part of government entrepreneurship support initiatives from 2018 to 2022. Based on previous studies, a research model was derived consisting of three laboratory entrepreneurship support factors that influence program satisfaction and entrepreneurial outcomes (infrastructure support, educational mentoring support, and business linkage support). Surveys were collected and analyzed from 126 laboratory entrepreneurship firms participating in the program, and empirical analysis of the research model was conducted using SPSS 23.0 statistical software. The analysis results indicated that the three variables, namely infrastructure support, educational mentoring support, and business linkage support, were significant factors affecting program satisfaction, and program satisfaction was confirmed to influence entrepreneurial outcomes. Furthermore, it was found that the three business operation factors indirectly influenced entrepreneurial outcomes by partially mediating program satisfaction. This study is considered significant as an empirical study for the initial stage of the second-phase program enhancement, verifying the effectiveness of laboratory entrepreneurship support factors. The findings can be applied to similar government entrepreneurship support initiatives and contribute to the effective strategy and planning of stakeholders involved. The limitations of this study include the need for further research on the perception of the extent to which it contributes to entrepreneurial outcomes, emphasizing caution in interpreting the research model, and the necessity for expanding the survey population and improving survey items in future research.

• The Korean Journal of Applied Statistics
• /
• v.33 no.5
• /
• pp.527-540
• /
• 2020

While analyzing data, researching outliers, which are out of the main tendency, is as important as researching data that follow the general tendency. In this study we discuss the influence function for outlier discrimination. We derive sample influence functions of sample mean, sample variance, and sample standard deviation, which were not directly derived in previous research. The results enable us to mathematically examine the relationship between the empirical influence function and sample influence function. We can also consider a method to approximate the sample influence function by the empirical influence function. Also, the validity of the relationship between the approximated sample influence function and the empirical influence function is also verified by the simulation of random sampled data in normal distribution. As the result of a simulation, both the relationship between the two influence functions, sample and empirical, and the method of approximating the sample influence function through the emperical influence function were verified. This research has significance in proposing a method that reduces errors in the approximation of the empirical influence function and in proposing an effective and practical method that proceeds from previous research that approximates the sample influence function directly through empirical influence function by constant revision.

• Journal of Technology Innovation
• /
• v.13 no.1
• /
• pp.113-139
• /
• 2005

The purpose of this study is to analyse the diffusion process of personal computer (PC) in Korea during the 1990's. To achieve the goal, five research steps have been done such as the literature survey of diffusion theory, set-up of theoretic equilibrium model of supply and demand, derivation of an equilibrium path using Hamiltonian, and empirical analysis. The empirical analysis has been performed based on that equilibrium path. The results can be summarized as follows : First, technological attribute of diffusing product influences the diffusion speed of Product. It has been proven that the size of the network has a significant effect on the diffusion of PC in empirical study Second, supply factors have an important role in the diffusion process. According to the empirical analysis, decreasing cost of production as a result of technological advance promotes the speed of diffusion. This point seems to be manifest theoretically, but existing empirical models have not included supply factors explicitly, Third, it has been found out that expectation of decreasing cost would influence the speed of diffusion negatively as expected ex ante. Theoretically this result is supported by arbitrage condition of purchasing timing.

• Journal of Educational Research in Mathematics
• /
• v.9 no.1
• /
• pp.245-261
• /
• 1999

Proof is an essential characteristic of mathematics and as such should be a key component in mathematics education. But, teaching proof in school mathematics have been unsuccessful for many students. The traditional approach to proofs stresses formal logic and rigorous proof. Thus, most students have difficulties of the concept of proof and students' experiences with proof do not seem meaningful to them. However, different views of proof were asserted in the reassessment of the foundations of mathematics and the nature of mathematical truth. These different views of justification need to be reflected in demonstrative geometry classes. The purpose of this study is to characterize the types of students' justification in demonstrative geometry classes taught using dynamic software. The types of justification can be organized into three categories : empirical justification, deductive justification, and authoritarian justification. Empirical justification are based on evidence from examples, whereas deductive justification are based logical reasoning. If we assume that a strong understanding of demonstrative geometry is shown when empirical justification and deductive justification coexist and benefit from each other, then students' justification should not only some empirical basis but also use chains of deductive reasoning. Thus, interaction between empirical and deductive justification is important. Dynamic geometry software can be used to design the approach to justification that can be successful in moving students toward meaningful justification of ideas. Interactive geometry software can connect visual and empirical justification to higher levels of geometric justification with logical arguments in formal proof.

• Management & Information Systems Review
• /
• v.31 no.4
• /
• pp.469-490
• /
• 2012

This study reviews the issue of endogeneity which has gained in importance in the empirical accounting researches in recent years. In so doing, I aim to call attention to the extent to which the presence of endogeneity limits the validity of empirical testing of models. More specifically, this paper explains what endogeneity is, its causes and consequences, and potential ways of managing the problem. The issues that concern endogeneity include, in the main, omitted variables, simultaneity, equilibrium conditions, choice variables. In this paper, I also discuss the implications derived from several selected empirical accounting research topics, that explicitly dealt with the problem of endogeneity. These include, among others, Oswald and Zarowin's (2007) study on the informativeness of capitalization of R&D, Hazarika et al. (2012) focusing on the relationship among internal corporate governance, CEO turnover, and earnings management, and a series of literature devoted to the associations between corporate governance structure and firm values. Finally, possible approaches for dealing with endogeneity are discussed.

• Journal of Korea Society of Industrial Information Systems
• /
• v.5 no.4
• /
• pp.1-15
• /
• 2000

Information systems (IS) failures still continue and are prevalent everywhere. When considering an enormous amount of budget currently invested on IS technology in many organizations, these continuing failures can be critical culprits to failures of the organizations themselves. However, the meaning and definition of IS failures are not unified among IS researchers as well as IS practitioners although there have been a lot of conceptual research regarding the concept of IS failures. Previous empirical studies are not enough yet and thus we anticipate further empirical studies to be performed which will validate previous conceptual research. In this regards, by analyzing IS practitioners perception toward IS failures in a more detailed manner, this research extends conceptual and empirical research in the past which previously identified the structure of information systems (IS) failures. Further, this current study identified the interrelationships among the categories. The data was analyzed using a multidimensional scaling program and fourteen categories of problems were identified as to constitute the IS failure structure. It was found that about a half of categories identified were related to technical failures such as network and system infrastructure, costs, data/information, and program errors. The other remaining categories were related with organizational or social problems such as business success, human resources, relationships, communication, and user skills.

• The Mathematical Education
• /
• v.54 no.3
• /
• pp.241-259
• /
• 2015

The purpose of this study is to analyze research trends and specific features in the statistics education between Korea and overseas. For this purpose, a total of 180 articles presented in 4 domestic and 4 foreign journals of the mathematics education and statistics education was investigated. The result findings are as follows. First, more than half of researches have been carried out in teaching and learning, understanding of statistical concepts in both of domestic and foreign journals. Second, some researches on the affective effect were carried out in foreign journals, but not in domestic journals. Third, researches on the teacher education were carried out mainly for the pre-service teachers in domestic journals, but mainly for the in-service teachers in foreign journals. Fourth, empirical study was mainly used for the research method in domestic journals while both empirical and non-empirical study were used in foreign journals. Fifth, subjects of research were mainly secondary students in domestic journals, but over undergraduate students in foreign journals.