• The Journal of the Korea Contents Association
• /
• v.20 no.5
• /
• pp.79-89
• /
• 2020

The current study explored if users' self-relevance of the comparison domain with creative AI robot in music composition affected their envy toward the robot, cognitive assessment toward the music and intention toward working with robot in future. This study conducted a 2 (degree of self-relevance: high(college students majoring in music) vs. low(those not majoring in music) × 2 (working type: robot-only vs. robot-human collaboration) between-subjects factorial design experiment. The findings revealed that those majoring in music did not feel envious of the robot as much as those not majoring in music. However, compared to those not majoring in music, those majoring in music evaluated the robot's creativity lower, had more negative attitude toward the music, showed less intention to use the music and work with the robots in future. No interaction between the degree of self-relevance and the working type was found.

• Journal of the Korea Convergence Society
• /
• v.12 no.2
• /
• pp.271-277
• /
• 2021

Companies are actively engaged in various innovation activities and intellectual property rights activities such as patents in order to survive in a fiercely competitive global environment. The purpose of this study is to understand the factors that influence corporate patent-related activities on business results. For this reason, we conducted a questionnaire survey of patent practitioners and R & D personnel of Chinese companies, and analyzed the causal relationship using PLS analysis tools. As a result of the analysis, it was found that compensation and obstacle factors have a significant effect on information sharing (collaboration)... It was found that information sharing (collaboration) has a significant impact on technology complementation (improvement) and corporate image. It was also found that technical complementation (improvement) and corporate image have an impact on management results. The results of this study will be able to find and strategically utilize the factors that promote and encourage companies to develop their patent activities.

• Journal of Digital Convergence
• /
• v.14 no.8
• /
• pp.211-221
• /
• 2016

The rapid trends toward outsourcing and collaboration have created complex multi-tier supply chains for construction and engineering industries. Working with suppliers and sub-suppliers requires continuous integration activities in order to maximize the performances of the entire supply chain. The purpose of this study is to identify the factors influencing the performances and long-term business relationship of second-tier suppliers in directed sourcing environment. This study proposes the asset specificity, trust, information-sharing and collaboration, as antecedents variables, and collected the survey responses from the second-tier suppliers in rebar manufacturing works. The statistical results indicate that the asset specificity, trust, information-sharing and collaboration have significant influences on the long-term business relationship of rebar manufacturing second-tier suppliers, but trust has no impact on the performances of second-tier suppliers at 5% significance level. Practical implications are also discussed.

• Journal of the Korea Convergence Society
• /
• v.10 no.12
• /
• pp.327-335
• /
• 2019

This study recognized the mutual collaborative characteristics among consultants as important factors in the performance of the government-supported consulting business, and wanted to look at the impact of the cooperative characteristics among consultants on the consulting performance. First, a research model was presented based on theoretical background, hypotheses were set up and surveyed, and hypotheses were verified by multi-circulation analysis. Among the collaboration characteristics among consultants, the most influential was mutual reliable followed by smooth communication, professional competence and role sharing. information sharing was rejected and was found to be relatively less affected than other variables. This can be seen as more important than the quantitative aspect of information sharing because of the collaborative nature of consultants who must work toward common goals. Collaboration among consultants has been positive when carrying out government-funded consulting projects, suggesting that quantitative characteristics should be considered based on the qualitative characteristics based on mutual reliable. In the future, we hope that this data will be useful for identifying collaborative characteristics among consultants when carrying out consulting projects.

• Journal of Korean Society of Forest Science
• /
• v.90 no.5
• /
• pp.643-649
• /
• 2001

The case study of the Cooperatives' members and Sincere Forest Managers/Forest Successors was carried out to find the determinants affecting the forest investment of private forest owners and analyze their effects on it. For this the landowners' forest investment probability function was estimated using the logistical regression model. The results showed that the forest investment of the Cooperatives' members was the function of forest area, stand age, forest income, and technical assistance. Three of the variables (forest income, forest area, and technical assistance) exhibited a positive effect on the forest investment as expected, while stand age showed a negative effect unlike the expectation of the study. In case of Sincere Forest Managers and Forest Successors forest area, distance(1)(distance from forest to road accessible by vehicle), knowledge of financing program, and forest income were significant indicators for the forest investment. All these variables showed the expected signs; forest area, knowledge of financing, and forest income had a positive effect on the forest investment, and distance(1) showed a negative effect.

• The Journal of the Korea Contents Association
• /
• v.17 no.12
• /
• pp.158-168
• /
• 2017

As the big data technologies advance, there is an increasing interest in systematic methodologies for data-based policy determination especially in the public health area. This study proposes a method to develop an issue detection model through the collaboration with domain experts in order to intelligently detect major socio-national issues on infectious diseases based on data. At first, the factors influencing the 'domestic inflow of foreign infectious diseases' are determined and variables representing the factors are set. Thereafter, by using system dynamics methods, the causal analysis is made to find causal map indicating main influential factors. In this process, an empirical modeling is conducted through collaboration between data analysts and experts in the infectious disease domain. The proposed issue detection approach based on domain knowledges will make it possible to make a decision on policies more efficiently if the detection system is capable of continuos monitoring of the related issues.

• 한국벤처창업학회:학술대회논문집
• /
• 2018.11a
• /
• pp.71-75
• /
• 2018

최근 대학교 내 창업친화적 학사제도의 활성화 등의 정책적 노력과 지원에 따라 다양한 형태의 창업교과목 신설 및 운영이 이뤄지고 있다. 일반적인 정보전달 위주의 창업교육보다 실제 창업가에게 요구되는 다양한 역량과 문제해결 능력 등을 체득할 수 있는 체험형 창업강좌가 교육의 효과에 더 긍정적인 역할을 하고 있음은 여러 연구에서 밝혀진 바 있다. 창업교육의 대표적 학자인 Michael H. Morris(2014)에 의하면 창업교육은 학생들의 역량 개발을 기준으로 설계되고 평가되어야 하며, 기업가에게 필요한 역량 강화를 위해서는 모의 창업 시뮬레이션을 포함한 다양한 과제, 협업활동, 체험학습 요소 등을 접목시킨 몰입적 참여형 체험학습으로 커리큘럼을 구성해야만 기업가적 역량을 향상시킬 수 있다고 제시하였다. 본 연구는 대학교 내 창업교육 유형을 실전형, 혼합형, 특강형으로 구분하여 창업교육 수업유형에 따른 창업의지 영향요인인 교육 만족도, 자기효능감, 기회인식, 창의성의 차이를 비교 분석하였다. 아울러 창업교육의 수업유형이 교육 수강 후 창업의지 영향요인과 창업의지에 미치는 조절효과에 대해 실증분석을 실시하였다. 본 연구결과는 창업교육이 지향해야 체험중심의 창업교육 표준모델의 제안하고, 창업교육 효과에 대한 연구 확산에 기여할 수 있을 것이다.

• Industry Promotion Research
• /
• v.8 no.3
• /
• pp.37-50
• /
• 2023

The purpose of this study is to study the impact of knowledge sharing behavior, self-efficacy, team collaboration, and job autonomy on organizational innovation among the smart work characteristic factors for members of small and medium-sized venture companies, and to study the differences according to generation/digital literacy level. It is to provide implications so that it can be reflected in the organizational innovation of venture companies. As a result of the analysis, it was found that knowledge sharing behavior and team collaboration had an effect on organizational innovation, while self-efficacy and job autonomy did not affect organizational innovation. In addition, as a moderating effect, it was confirmed that there were differences in self-efficacy and team collaboration according to the level of digital literacy, and differences in knowledge sharing behavior, self-efficacy, and team collaboration by generation. Therefore, in this study, we identified important influencing factors for organizational innovation according to changes in the smart work environment of small and medium-sized venture companies, and suggested ways to secure corporate competitiveness. It suggests that organizational innovation can be strengthened only by confirming the relationship between organizational innovation and finding ways to develop and utilize differentiated capabilities.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2005.11a
• /
• pp.407-414
• /
• 2005

본 연구는 상품추천을 위해 필요한 고객선호도 추정모형을 제안하고, 이러한 선호도 추정결과에 따른 선호도 정보를 이용하여 궁극적으로 상품추천의 성과를 제고시키기 위한 방법을 제시하였다. 즉, 고객의 행동패턴만으로 고객의 제품선호도를 정확히 추정할 수 있는 새로운 선호도 추정모형을 제안하였다. 이 제안모형은 선호도에 영향을 주는 요인들의 상대적인 가중치를 학습을 통해 최적화시킴으로써, 보다 정확한 선호도 평가를 가능하게 해 주다. 한편, 이 모형의 타당성을 검증하기 위해서 본 연구에서는 가상서점 고객들을 대상으로 고객선호도 정보를 수집한 후, 본 제안모형을 적용했을 때의 협업 필터링 성과와 단순선호도 계산식을 이용했을 경우의 성과를 비교 분석하였다. 이에 대한 실증분석결과는 본 제안모형을 적용했을 때의 협업 필터링 성과가 단순 선호도 모형을 적용했을 때의 성과보다 더 우수한 것으로 나타났다.

• The Journal of the Korea Contents Association
• /
• v.19 no.4
• /
• pp.477-489
• /
• 2019

Recently, interdisciplinary studies have been receiving attention. Interdisciplinary research, especially in arts and technology, is a very interesting issue. E.A.T. was founded in New York in 1966 by artists and engineers. Based on the E.A.T. case, this study analyzed the period background in which art and technology could be converged, and the characteristics of E.A.T. works. The analysis results of the period background revealed that five factors influenced the organization and development of E.A.T.. Economic factors, artistic factors, technical factors, educational factors, and sponsored cultural factors influenced the convergence of art and technology. E.A.T. works collaborated by artists and engineers generally had three characteristics. Convergence across various fields, multi-sensitivity utilizing different senses, and interaction between the environment and humans appeared in E.A.T. works. This study provides meaningful implications for both artists and engineers who wish to overcome the limitations of artistic expression and develop new technology.