• Korean small business review
• /
• v.42 no.2
• /
• pp.69-92
• /
• 2020

This study is aimed at the growth and development of family businesses that greatly contribute to Korea's economic development, but the specific research purpose is to firstly examine the research trends and current status of Korean family businesses and compare them with those of developed countries such as the United States. Second, I would like to look at the future research for revitalizing Korean family business research. In addition, we intend to contribute to increasing the interest in this field and the number of researchers involved. The research target of this paper is 212 papers published in professional academic journals for 13 years from 2006 to 2018 when family businesses began to be fully researched in Korea, 112 master's and doctoral dissertations (graduate schools), and 324 totals. As a result of empirical analysis, the number of published papers is increasing more than the initial ones, but it has been on the decline recently. In addition, 57.5% of the journals are papers that do not have specific definitions or simply list the claims of several scholars by analyzing content. Thesis was 33.9%. As for the type of research, qualitative research, which is a conceptual research, is a small number, and empirical research occupies most of the research topics. Research topics and academic dissertations also have a large proportion of management, management strategy, succession, financial accounting, and business performance. In other words, it can be said that the research on family business in Korea corresponds to the early childhood of the United States. First of all, in the future, we need to put more effort into increasing the qualitative research, starting with the definition of a family business, which is an essential problem, in addition to the theory building of family business. Second, as an analysis level of research, we should make family an important level of analysis for existing individuals, groups, and organizations. Third, the research subject and research area should be expanded. It is desperately necessary to study large companies including chaebols, mainly from small and medium-sized companies, which are the existing research areas of family business. In addition, it is considered that it is necessary to appropriately introduce various theories suitable for the interdisciplinary study, which is the characteristic of the family business, for example, theories of family science, psychology, and sociology. Fourth, it should build the research infrastructure.

• Proceedings of the Korea Database Society Conference
• /
• 1999.06a
• /
• pp.415-421
• /
• 1999

Altman의 연구(1965, 1977)나 Beaver의 연구(1986)와 같은 전통적 예측모형은 분석자의 판단에 따른 예측도가 높은 재무비율을 선정하여 다변량판별분석(MDA： multiple discriminant analysis), 로지스틱회귀분석 등과 같은 통계기법을 주로 이용해 왔으나 1980년 후반부터 인공지능 기법인 귀납적 학습방법, 인공신경망모형, 유전모형 둥이 부실기업예측에 응용되기 시작했다. 최근 연구에서는 인공신경망을 활용한 변수 및 모형개발에 관한 보고가 있다. 그러나 지금까지의 연구가 주로 기업의 재무적 비율지표를 고려한 모형에 치중되었으며 정성적 자료인 비재무지표에 대한 검증과 선정이 자의적으로 이루어져온 경향이었다. 또한 너무 많은 입력변수를 사용할 경우 다중공선성 문제를 유발시킬 위험을 내포하고 있다. 본 연구에서는 부실기업예측모형을 수립하기 위하여 정량적 요인인 재무적 지표변수와 정성적요인인 비재무적 지표변수를 모두 고려하였다. 재무적 지표변수는 상관분석 및 요인분석들을 통하여 유의한 변수들을 도출하였으며 비재무적 지표변수는 조직생태학내에서의 조직군내 조직사멸과 관련된 생태적 과정에 대한 요인들 중 조직군 내적요인으로 조직의 연령, 조직의 규모, 조직의 산업밀도를 도출하여 4개의 실험집단으로 분류하여 비재무적 지표변수를 보완하였다. 인공신경망은 다층퍼셉트론(multi-layer perceptrons)과 역방향 학습(back-propagation )알고리듬으로 입력변수와 출력변수, 그리고 하나의 은닉층을 가지는 3층 퍼셉트론(three layer perceptron)을 사용하였으며 은닉충의 노드(node)수는 3개를 사용하였다. 입력변수로 안정성, 활동성, 수익성, 성장성을 나타내는 재무적 지표변수와 조직규모, 조직연령, 그 조직이 속한 산업의 밀도를 비재무적 지표변수로 산정하여 로지스틱회귀 분석과 인공신경망 기법으로 검증하였다. 로지스틱회귀분석 결과에서는 재무적 지표변수 모형의 전체적 예측적중률이 87.50%인 반면에 재무/비재무적 지표모형은 90.18%로서 비재무적 지표변수 사용에 대한 개선의 효과가 나타났다. 표본기업들을 훈련과 시험용으로 구분하여 분석한 결과는 전체적으로 재무/비재무적 지표를 고려한 인공신경망기법의 예측적중률이 높은 것으로 나타났다. 즉, 로지스틱회귀분석의 재무적 지표모형은 훈련, 시험용이 84.45%, 85.10%인 반면, 재무/비재무적 지표모형은 84.45%, 85.08%로서 거의 동일한 예측적중률을 가졌으나 인공신경망기법 분석에서는 재무적 지표모형이 92.23%, 85.10%인 반면, 재무/비재무적 지표모형에서는 91.12%, 88.06%로서 향상된 예측적 중률을 나타내었다.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 1999.03a
• /
• pp.415-421
• /
• 1999

Altman의 연구(1965, 1977)나 Beaver의 연구(1986)와 같은 전통적 예측모형은 분석자의 판단에 따른 예측도가 높은 재무비율을 선정하여 다변량판별분석(MDA:multiple discriminant analysis), 로지스틱회귀분석 등과 같은 통계기법을 주로 이용해 왔으나 1980년 후반부터 인공지능 기법인 귀납적 학습방법, 인공신경망모형, 유전모형 등이 부실기업예측에 응용되기 시작했다. 최근 연구에서는 인공신경망을 활용한 변수 및 모형개발에 관한 보고가 있다. 그러나 지금까지의 연구가 주로 기업의 재무적 비율지표를 고려한 모형에 치중되었으며 정성적 자료인 비재무지표에 대한 검증과 선정이 자의적으로 이루어져온 경향이었다. 또한 너무 많은 입력변수를 사용할 경우 다중공선성 문제를 유발시킬 위험을 내포하고 있다. 본 연구에서는 부실기업예측모형을 수립하기 위하여 정량적 요인인 재무적 지표변수와 정성적 요인인 비재무적 지표변수를 모두 고려하였다. 재무적 지표변수는 상관분석 및 요인분석들을 통하여 유의한 변수들을 도출하였으며 비재무적 지표변수는 조직생태학내에서의 조직군내 조직사멸과 관련된 생태적 과정에 대한 요인들 중 조직군 내적요인으로 조직의 연령, 조직의 규모, 조직의 산업밀도를 도출하여 4개의 실험집단으로 분류하여 비재무적 지표변수를 보완하였다. 인공신경망은 다층퍼셉트론(multi-layer perceptrons)과 역방향 학습(back-propagation)알고리듬으로 입력변수와 출력변수, 그리고 하나의 은닉층을 가지는 3층 퍼셉트론(three layer perceptron)을 사용하였으며 은닉층의 노드(node)수는 3개를 사용하였다. 입력변수로 안정성, 활동성, 수익성, 성장성을 나타내는 재무적 지표변수와 조직규모, 조직연령, 그 조직이 속한 산업의 밀도를 비재무적 지표변수로 산정하여 로지스틱회귀 분석과 인공신경망 기법으로 검증하였다. 로지스틱회귀분석 결과에서는 재무적 지표변수 모형의 전체적 예측적중률이 87.50%인 반면에 재무/비재무적 지표모형은 90.18%로서 비재무적 지표변수 사용에 대한 개선의 효과가 나타났다. 표본기업들을 훈련과 시험용으로 구분하여 분석한 결과는 전체적으로 재무/비재무적 지표를 고려한 인공신경망기법의 예측적중률이 높은 것으로 나타났다. 즉, 로지스틱회귀 분석의 재무적 지표모형은 훈련, 시험용이 84.45%, 85.10%인 반면, 재무/비재무적 지표모형은 84.45%, 85.08%로서 거의 동일한 예측적중률을 가졌으나 인공신경망기법 분석에서는 재무적 지표모형이 92.23%, 85.10%인 반면, 재무/비재무적 지표모형에서는 91.12%, 88.06%로서 향상된 예측적중률을 나타내었다.

• The Journal of the Korea Contents Association
• /
• v.9 no.2
• /
• pp.203-215
• /
• 2009

Many companies in Korea have developed job competency models and are utilizing them for the purpose of training and management of employees. However many of them are unable to be utilized efficiently through their own job competency model because the company failed to reflect what happens in the real work place in the model or the model itself is not concrete enough to be applied practically. Thus, in this study, the current status of Korean companies which had developed their own job competency model were investigated and the subsequent development of training system which is based on the model were developed. By result of the survey, about 43.5% of the company, which has more than 400 employees, have developed job competency models and 31.7% of them haven‘t been able to develop training system based upon the model due to the lack of concreteness of their model. To overcome this contradiction, we developed web 2.0 based job competency modeling method where each individuals in the organization themselves develop job competency as opposed to an expert oriented developing method. The result of this study is that web 2.0 based job competency modeling method is superior to any another modeling in an accuracy of competency, an acceptance of competency, and an usefulness of competency description.

• Journal of Technology Innovation
• /
• v.25 no.4
• /
• pp.263-284
• /
• 2017

The purpose of this research is to analyze the performance of national R&D projects and to find out measures to improve the performance indicators, focusing on energy HRD projects. The main analysis target is 86 energy manpower projects supported since 2010. The performance indicators of the energy HRD projects are related to the research capacity, the number of emission workers, industry-university linkage, job creation and so on, and analyzed by using the 11 indicators of human resource performance index called KPI index. As a result of analyzing the attainment level of the proposed target by task, the index with the highest achievement level is the corporation linkage rate, and the index with the lowest achievement level is the participating company employment. As a result of examining the effects of job creation in company - linked activities, it was found that the greater the number of participating companies in the business, the greater the employment creation effect of the number of internships. As a result of the above analysis, the following policy alternatives are proposed. First, it is necessary to consider adding indicators that can express the quality performance of the business and performance indicators that can express actual business linkages. Second, it is necessary to strengthen the management of differentiated performance indicators according to policy performance targets and major target groups. Third, it is necessary to improve information input and accumulation system along with improvement of performance index.

• The Journal of the Korea Contents Association
• /
• v.16 no.7
• /
• pp.112-121
• /
• 2016

The purpose of this research is to examine the effect of storytelling ads. To find out the effect, three different ads were created; one is no storytelling in ads, another is corporate storytelling ads, and the other is client storytelling ads. Each ads was exposed to high school students, and we analyzed their response to the ads such as ads recall, attitude toward ads, emotional response to ads, purchase intention, and the intention of word-of-mouth. The results showed that corporate storytelling ads among three ads was the most effective to recall the ads, and there was significant difference between corporate storytelling ads and no storytelling ads. In terms of attitude toward ads, there was significant difference between client storytelling and no storytelling ads. There were significant difference in positive emotion between client storytelling ads and no storytelling ads and between client storytelling ads and corporate storytelling ads, but no significant between corporate storytelling ads and no storytelling ads. Regarding emotion, students who were exposed to no storytelling ads showed the highest negative emotion, but the lowest negative emotion in client storytelling ads. There was significant difference in purchase intention between client storytelling and no storytelling ads and in the intention of word-of-mouth between corporate storytelling ads and no storytelling ads.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.22 no.2
• /
• pp.141-147
• /
• 2012

The purpose of the study is the acquisitions of knowledge related in job searching from local companies and job seekers using data mining techniques. At the first step, for the study, we had selected the local companies their headquarters are located in Jeonbuk province. Then we had picked the graduating students out from the high schools, colleges, and universities in the same area as the job seekers. After the targeting of the sample, we had surveyed 560 local companies and 14 schools for the collecting of the preliminary data. As the result of the survey, we could collect 173 responses from the companies and 551 responses from the job seekers. At the second step using data mining, we had adapted the C5.0 algorithm to extract the inference rules. Then we had used the Visual Basic (VB) programming language to visualize the rules at the third step. At the fourth step, we transformed the inference rules into DB tables. At the final step, we had executed the rule inferences to support the development of the long-term human resources development (HRD) strategies. As the result of the study, we could suggest the helpful information to the HRD directors and job seekers in designing their strategies in managing their jobs and career development.

• Journal of Navigation and Port Research
• /
• v.37 no.6
• /
• pp.699-707
• /
• 2013

With the increase in the trade volume between countries, the market of freight forwarders industry has been gradually growing. However, not only in Korea, with the number of global freight forwarders increasing, global competition has been increasingly fierce, and domestic freight forwarders are facing enormous challenges, therefore, the relevant policy sectors have carried out a series of supportive policies, while academics have conducted various researches. But most of them have focused on the current situation or the business model, and they could not get feedback on government support policies from enterprises. Using the AHP analysis, this study decided the priority of the government's ongoing supporting policies, compared the cognitive differences among of the companies of 3 different sizes, which was further verified using t-test. Then we compared the government support policies with the actual expectations of the companies to see if they matched on the basis of the previous results of this study, in order to help to strengthen the competitiveness of our freight forwarding industry.

• The Journal of Society for e-Business Studies
• /
• v.23 no.4
• /
• pp.1-17
• /
• 2018

Recently, most online firms are trying to provide personalized services based on customer's data. However, customers are reluctant to give their information to online firm because of concerns about data breach. Online firms are seeking to increase their trust by ensuring the protection of personal information for customers through privacy seal (e.g. e-privacy) or data breach insurance. This research examines the effects of privacy assurance(i.e. privacy seal, data breach insurance) on consumer behavior in online environment. An experiment based on the hypothetical scenario was conducted using a between-subjects 2 (type of privacy assurance) + 1 (control) design. We found that both privacy seal and data breach insurance increased perceived privacy trust. In addition, privacy seal has a positive effect on the intention to provide personal information through perceived privacy trust. Finally, in the case of the group with a high (low) disposition to trust, higher perceived privacy trust is formed through privacy seal (data breach insurance). Theoretical and practical implications are discussed.

• The Journal of the Korea Contents Association
• /
• v.22 no.10
• /
• pp.575-585
• /
• 2022

Negative perceptions about corporate social responsibility (CSR) crises and repeated crises are increasing. It is necessary to examine the effects of a proactive strategy of disclosing crisis information against the negative perceptions. The research is intended to analyze ability-based trust, and benevolence-based trust by crisis type, crisis history, and timing of crisis disclosure. In this regard, a 2 (crisis history: present vs. absent) x 2 (crisis type: corporate ability crisis vs CSR crisis) x 2 (timing of crisis disclosure: stealing thunder vs thunder) between-groups design experiment was conducted. Research results show crisis type and crisis history have significant interaction effects on ability-based trust. In the CSR crisis, the case with crisis history shows lower ability-based trust than the case without crisis history. Timing of crisis disclosure showed significant interactions with crisis history and crisis type. The stealing thunder strategy heigntened ability-based trust and benevolence-based trust against the CSR crises and the cases without crisis history more than the corporate ability crises and the cases with crisis history. Considering that the stealing thunder strategy is more effective with the CSR crises than the corporate ability crises, the research results suggest that future CSR crisis responses should prepare active disclosure of crisis information before news media disclosure of such information.