• The Journal of Society for e-Business Studies
• /
• v.27 no.1
• /
• pp.43-62
• /
• 2022

This paper is a study to analyze when ISV(independent software company) has more active participation in the platform ecosystem. According to previous studies, companies are active in technological innovation when they can appropriate the outcome of innovation and when they have complementary assets (marketing, manufacturing capabilities, etc.) that can convert the innovation into value. The effect of these two conditions to join platform ecosystem is investigated. The duplication between the ISV's product portfolio and platform service is also included as an independent variable. The two sample groups are composed of independent SW companies that signed a partner agreement with platform companies and non-participating companies in the platform. As a result of empirical study, it is found that the patent rights do not affect participation in the platform. The ISVs might have believed that the benefits from cooperation with platform companies are greater than the risks of exposure to innovative technologies and unique Biz models. On the other hand, downstream's capability and the duplication of product portfolio affect participation in the platform. If ISVs have the downstream capability to transform cooperation into value creation, ISVs are actively participating in the platform. In addition, cooperation is active when the product portfolio is complementary to platform service rather than competition. This study is the empirical study of open innovation between Korean independent software companies and digital platform companies. There are similar prior studies abroad, but there are no similar studies in Korea. It is meaningful in that the determinants of platform ecosystem participation were investigated through empirical analysis by composing a sample group of companies participating in the platform ecosystem and companies not participating in the platform ecosystem.

• Journal of Korea Port Economic Association
• /
• v.27 no.2
• /
• pp.241-260
• /
• 2011

This paper qualitatively describes logistics behaviors of 113 companies located in Daegu-Gyeongbuk by considering various characteristics such as business location, trade volume, cargo types and the possession of company's own warehouse. A logit model is developed to investigate how predictor variables affect these companies' inclination of utilizing Third Party Logistics Provider(3PL). The estimation results of 102 effective data points show that among the four predictors the location of company's HQs (HQADD) and trade volume (TRDTEU) significantly increase company's tendency towards utilizing 3PL while the remaining two variables (BULK, WAREHS) imparting statistically insignificant influence. The results indicate that those companies located outside the region tend to implement a strategy of using more 3PL and also that the larger the trade volume of the company the more 3PL the company uses to improve the efficiency in logistics.

• Journal of the Korea Convergence Society
• /
• v.11 no.12
• /
• pp.187-197
• /
• 2020

In this study, how international diversification of domestic companies increases corporate profits and increases the dividend income of paid-in capital investors, who provided the basis for corporate business activities in the process of distributing profits. I tried to find out if it had an effect. An empirical analysis was conducted using a fixed-effect model for companies with settlements at the end of December listed on the domestic securities market from 2011 to 2018. It was confirmed that the higher the level of international diversification of individual companies, the higher the company's dividend payout ratio and dividend yield. This means that companies can steadily expand corporate profits and dividend yield of shareholders by securing new overseas markets through international diversification, it can be seen that a company's international diversification strategy can contribute to the increase of corporate value by increasing the company's dividend payout ratio by increasing dividendable profit.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.11 no.5
• /
• pp.593-600
• /
• 2018

Owing to the advancement of Internet and smart devices, access to various media such as social media became easy; thus, a large amount of big data is being produced. Particularly, the companies that provide various Internet services are analyzing the big data by using the MapReduce-based big data analysis techniques to investigate the customer preferences and patterns and strengthen the security. However, with MapReduce, when the big data is analyzed by defining the number of reducer objects generated in the reduce stage as one, the processing rate of big data analysis decreases. Therefore, in this paper, a MapReduce-based split big data analysis method is proposed to improve the log analysis processing rate. The proposed method separates the reducer partitioning stage and the analysis result combining stage and improves the big data processing rate by decreasing the bottleneck phenomenon by generating the number of reducer objects dynamically.

• Annual Conference of KIPS
• /
• 2019.05a
• /
• pp.443-446
• /
• 2019

빅데이터 분석을 위해 많이 사용하고 있는 기계학습 알고리즘들 중 딥러닝 알고리즘이 많이 활용되고 있으며 분류와 예측에 높은 정확도를 나타내고 있다. 딥러닝 알고리즘의 적용에 따른 많은 장단점들이 있지만, 단점은 분석에 사용되는 특징들이 너무 많다는 것과 분석 모델을 만드는데 사용되는 알고리즘도 여러 가지를 적용하다 보니 분석 시간이 오래 걸린다는 것이다. 이런 단점들은 업무를 파악하면 특징을 최소화할 수 있고 필요로 하는 정보만 선별해서 대표적인 딥러닝 알고리즘 하나에 분석을 하게 되면 분석 시간을 단축시킬 수 있다. 이 실험은 [1], [2]에서 연구한 영화 관객수 예측 모델을 4개의 특징으로 최소화하고 선별된 데이터를 인공신경망 알고리즘 하나로 예측 모델을 생성하였을 때 유의미한 정보를 도출해 낼 수 있는지를 알아보기 위한 것이다. 실험결과는 최종 관객수를 1명 단위까지 정확하게 예측하지는 못했지만 비슷한 수준의 관객수 정보를 예측하였다. 학문적인 접근으로 보았을 때 예측 정확도가 높지 않으면 사용이 불가능한 모델이라고 판단할 수 있지만, 기업 입장으로 접근해 보았을 때 예측 정보가 [1]. [2] 연구 결과에 비해 부족한 수준은 아니다. 총 소요된 시간은 기획 3일, 데이터 수집 및 모델 개발 5일, 분석 시간 10분으로 개발 시간 단축, 업무 효율성 향상, 비용 절감을 기대할 수 있다.

• Knowledge Management Research
• /
• v.23 no.3
• /
• pp.153-171
• /
• 2022

With the global ESG management craze, domestic and foreign companies voluntarily declare sustainable management and actively respond by establishing strategies. The Financial Services Commission mandates the disclosure of sustainability reports representing ESG management sequentially and will expand to SMEs in the future. Information disclosure of sustainability reports is mainly done through international standards such as GRI, SASB, and TCFD, and many domestic companies use GRI Standards guidelines. This study examines the composition system of sustainability reports and compares public and private companies with GRI Standards to analyze sustainable management by type. This study revealed that public enterprises focused on social and labor, while private enterprises focused on the economy and environment through TF-IDF modeling. In addition, the electronic and information communication industries focused on product responsibility. Unlike previous studies that quantified and analyzed sustainability management according to grade, the current study analyzed sustainability reports, which are unstructured data. Therefore, the results of this study are expected to provide valuable theoretical and practical implications for researchers and supervisors interested in ESG management.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.15 no.1
• /
• pp.225-235
• /
• 2020

The Korean government is attempting to promote technology-based start-ups and venture firms that can lead to new national growth engines being developed. Although government support policies focus on improving survival rates, strategic tools for sustainability management based on a continuing company's assumption are also relevant. Previous studies indicate corporate social responsibility (CSR) as an important strategic tool for the management of corporate sustainability. This research is an exploratory study that seeks to empirically analyze the applicability of such CSR to venture firms. Existing previous studies have been carried out by large companies and surveys, and there are limitations that do not reflect the characteristics of companies. To complement the shortcomings of previous studies and propose practical consequences, this study conducted an empirical analysis using raw data from government approval statistics to identify the growth stages of venture firms. Using the 2018 Survey of Korea Venture Firms, we identified the growth stages of domestic venture firms and used the data envelopment analysis (DEA) to investigate the effect of CSR activities on managerial efficiency. The analysis found that CSR during start-up and early growth cycles did not affect managerial performance. The organization that conducted enthusiastic CSR activities performed better than those that did not perform CSR activities since the rapid growth era. Ultimately, the scale efficiency of venture business was the highest from the rapid growth era when the CSR was not done. This study is a pioneering study that found that after the period of high growth, venture firms' CSR activities can affect managerial performance. Therefore, it is important to advise applicable policies and business decision-makers that CSR practices can be a tactical resource for improving performance of management.

• Annual Conference of KIPS
• /
• 2004.11a
• /
• pp.133-136
• /
• 2004

데이터 웨어하우스(Data Warehouse : DW)는 데이터베이스에 저장되어 있는 데이터를 신속한 의사 결정 지원을 위해 최종 사용자가 여러 곳의 기업 내에 흩어져 있는 방대한 데이터를 손쉽고 빠르게 접근할 수 있도록 활용되고 있다. 현재 데이터 웨어하우스의 중요성이 부각되고 있는 가운데 온라인 분석 처리(On Line Analytical Processing : OLAP) 시스템이 데이터 웨어하우스 안에서 활용되고 발전되고 있다. 기존 연구에서는 서로 다른 OLAP 제품에서 공통으로 사용할 수 있는 모델을 적용하여 OLAP 메타데이터 교환 시스템을 설계해왔다. 그러나 본 논문에서는 서로 다른 OLAP 제품을 공통으로 사용할 수 있는 질의 언어 시스템 설계 전 단계인 논리적 설계를 UML snowflake 다이어그램을 이용하여 설계 하였다. 실험결과, XML 문서의 변환된 OLAP 메타 데이터를 이용하여 UML snowflake 다이어그램 설계를 통해 통합된 OLAP 제품의 XML 문서 구조가 논리적으로 설계되어 메타 데이터가 통합됨을 알 수가 있다.

• Proceedings of the Korea Contents Association Conference
• /
• 2018.05a
• /
• pp.75-76
• /
• 2018

공공데이터 공개 의무 확대와 법제도 개선에 따라 한국 정부 및 지자체를 중심으로 공공데이터 서비스가 촉진되고 있다. 공공데이터 개방의 당초 취지는 일상 업무를 통해 만들어낸 수많은 데이터를 기업체와 국민이 쉽게 접근하고, 재사용을 가능하게 함으로써 정부는 신뢰성과 투명성을 향상시키고, 예비 창업자들에게는 새로운 시장과 창업 기회를 창출하며, 국민 참여 및 국민의 의사결정에 도움을 준다는 것이다. 하지만 이러한 정책 취지와 노력에도 불구하고 공공데이터 개방과 활용에 있어서는 여전히 어려움과 한계가 존재하고 있다. 이에 본 연구에서는 현재 진행되고 있는 정부 및 공공기관의 데이터 개방과 개방 데이터의 활용 현황을 분석, 진단해 보고 향후 공공데이터 개방 촉진 및 이용 활성화를 위한 정책적 방안을 제언해 보고자 한다.

• Journal of Practical Engineering Education
• /
• v.15 no.1
• /
• pp.97-105
• /
• 2023

Recently, with the development of artificial intelligence technology, many technologies for user convenience are being developed. Among them, interest in autonomous vehicles is increasing day by day. Currently, many automobile companies are aiming to commercialize autonomous vehicles. In order to lay the foundation for the government's new and reasonable policy establishment to support commercialization, we tried to analyze changes and perceptions of public opinion through news article data. Therefore, in this paper, 35,891 news article data mentioning terms similar to 'autonomous vehicles' over the past three years were collected and network analyzed. As a result of the analysis, major keywords such as 'autonomous driving', 'AI', 'future', 'Hyundai Motor', 'autonomous driving vehicle', 'automobile', 'industrial', and 'electric vehicle' were derived. In addition, the autonomous vehicle industry is developing into a faster and more diverse platform and service industry by converging with various industries such as semiconductor companies and big tech companies as well as automobile companies and is paying attention to the convergence of industries. To continuously confirm changes and perceptions in public opinion, it is necessary to analyze perceptions through continuous analysis of SNS data or technology trends.