• International Journal of Contents
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• 제13권2호
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• pp.57-65
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• 2017

Recently, due to the significance of Industry 4.0, the manufacturing industry is developing globally. Conventionally, the manufacturing industry generates a large volume of data that is often related to process, line and products. In this paper, we analyzed causes of defective products in the manufacturing process using the decision tree technique, that is a well-known technique used in data mining. We used data collected from the domestic manufacturing industry that includes Manufacturing Execution System (MES), Point of Production (POP), equipment data accumulated directly in equipment, in-process/external air-conditioning sensors and static electricity. We propose to implement a model using C4.5 decision tree algorithm. Specifically, the proposed decision tree model is modeled based on components of a specific part. We propose to identify the state of products, where the defect occurred and compare it with the generated decision tree model to determine the cause of the defect.

• 산업경영시스템학회지
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• 제43권3호
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• pp.87-94
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• 2020

In this study, the factors affecting the efficiency of 48 projects of private R&D institutes were analyzed using the Tobit model. Influencing factors were selected as open R&D network size, IT industry, interaction between R&D network size and IT industry, and type of R&D network cooperation. As a result of Tobit analysis, the R&D network size, the IT industry, and the type of R&D network cooperation were found to be significant. The larger the open R&D network size, the lower the efficiency, and the IT industry showed lower R&D efficiency than other industries. In addition, cooperation with universities and research institutes showed lower R&D efficiency than cooperation with companies. As a result of these studies, companies will be able to select and focus on cooperation with the outside in relations and investment allocation.

• 디지털산업정보학회논문지
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• 제20권2호
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• pp.159-174
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• 2024

Recently, as demand for delivery services has increased rapidly due to COVID-19, the food service O2O(Online to Offline) platform has also grown significantly. This study aimed to verify the influencing factors on continuance use intention of O2O platform using the Information Service Success Model and Post Acceptance Model. An online survey was conducted on 379 consumers who used the food service O2O platform in the past six months, and the collected survey was analyzed using SPSS 26.0 and AMOS 24.0. As a result of the verification, in the influence relationship between the Information Service Success Model and Post Acceptance Model, system quality was found to have an effect on perceived usefulness, but information quality and service quality were rejected for perceived usefulness and were partially adopted, The rest were all found to have a significant effect. In the moderating effect according to the amount used, the intention to continue using was stronger when the group who spent more than 30,000 won was satisfied. These results support previous research on O2O platforms and provide academic implications as well as practical implications for practitioners in the food service industry.

• 융합보안논문지
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• 제19권4호
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• pp.165-171
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• 2019

국내 정보보호 시장이 급성장하고 있어 정보보호 산업의 발전을 위해 성장성이 우수한 비즈니스 모델을 찾아 보안산업의 발전방안을 제시하고자 하였다. 이를 위해 정보보호 산업의 주요 생산품을 유사한 업종별로 구분하여 종속변수로 정하고 전문가 인터뷰를 통해 기술성숙도에 따라 구분하였으며, 독립변수는 매출액, 사원수, 업력을 대상으로 하였다. 조사결과 86개 기업 대상 평균 매출액은 87.98억원, 업력은 13.51년, 사원수는 64.3명 이었으며, SPSS 통계분석 결과 기술성숙도에 따른 업종과 매출액의 상관관계는(r = -.729) 유의수준 5%이내에서 상관이 있으며, 회귀분석 결과 (p=.047 < 0.05)는 유의미하였다. 따라서 기술성숙도에 따른 업종 분류와 매출액은 관련이 있다고 할 수 있다.

• 유통과학연구
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• 제17권4호
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• pp.5-16
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• 2019

Purpose - This study examines whether price cartel firms perform downward earnings management to avoid or minimize penalty surcharges levied by the Korea Fair Trade Commission and analyzes such earnings management in distribution industry. Research design, data, and methodology - We use 247 firms from 64 price cartel cases in the period of 2011-2016, and collect data from 3 years before to 3 years after the start of price cartel. Earnings management is measured by discretionary accruals. Three discretionary accrual estimation models are employed; modified Jones model, ROA adjusted modified Jones model and CFO-adjusted modified Jones model. For pre- and post-cartel periods, one year, two year, and three year windows are used. Additional empirical analyses are performed for distribution industry sub-sample of 25 cartel firms. Result - The regression results show that cartel firms' discretionary accruals are significantly lower in the period after the start of price cartel than before. And discretionary accruals are lower in cartel firms than in non-cartel firms during the cartel period. Cartel firms in distribution industry also show the earnings management similar to those in other industries. Conclusions - These two findings lead to the conjecture that managers of cartel firms manage their earnings downward. This behavior is indistinguishable between firms in distribution industry and other industries.

• 통상정보연구
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• 제12권4호
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• pp.151-170
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• 2010

The present study made an empirical analysis for investigating the competitiveness of technology trades in Korea. In particular, the study deduced the correlation between technology export and technology import using the variables of Gross Domestic Expenditure on R&D and Per capita industry value added Productivity and employed fixed effect model in panel linear regression model. It is found that the R&D expenditure of OECD countries made a significant effect on the technology import and the value-added labor productivity made a significant result on both technology export and import. Therefore, it showed that the technology trade in Korea made a sensitive response to labor productivity in OECD countries. By panel analysis, machine, construction, ICT, and service industry affect most on technology export in Korea for recent 5 years. For technology import, electric-electron, chemical, service, and construction industry have significant effects. This study contributed to understanding of industrial characteristics affecting technology trades in Korea and empirical analysis to show correlation between the factors affecting technology trade.

• ETRI Journal
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• 제37권2호
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• pp.428-437
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• 2015

This study was conducted to analyze the effect of information security activities on organizational performance. With this in mind and with the aim of resolving transaction stability in the securities industry, using an organization's security activities as a tool for carrying out information security activities, the effect of security activities on organizational performance was analyzed. Under the assumption that the effectiveness of information security activities can be bolstered to enhance organizational performance, such effects were analyzed based on Herzberg's motivation theory, which is one of the motivation theories that may influence information protection activities. To measure the actual attributes of the theoretical model, an empirical survey of the securities industry was conducted. In this explorative study, the proposed model was verified using partial least squares as a structural equation model consisting of IT service, information security, information sharing, transaction stability, and organizational performance.

• 디지털융복합연구
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• 제10권5호
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• pp.177-183
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• 2012

IT 산업 기업간의 갈수록 치열해지고 있는 경쟁 환경에서 기업이 생존하기 위한 기술혁신은 경쟁력 확보를 위한 필수요소가 되고 있다. 이러한 기술혁신은 기업의 생존을 위해 반드시 필요하며 다양한 요인들이 기술혁신의 성공을 거두기 위해 반드시 고려되어야 한다. 본 고에서는 IT산업을 기반으로 기술 혁신에 영향을 미치는 요인을 파악하고 이러한 영향 요인에 관련된 다른 연구와의 비교 분석을 통해 새로운 연구모형을 설정하는 것을 목표로 하고 있다.

• 기술혁신연구
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• 제7권2호
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• pp.21-36
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• 1999

This paper presents a R&D investment model for Information and telecommunications (I&T) technology, which can be used by group decision makers, using multiple objective linear programming (MOLP). The MOLP model involves the simultaneous maximization of three linear objective functions associated with three criteria, which are social, technological, and economic criterion. This model is different from the traditional one which only involves the maximization of economic criterion. The presented problem in this model can be formulated as a problem of optimizing a linear function over an efficient set of MOLP. Its application to the National R&D Project in I&T Industry is also presented. In this application, the Analytic Hierarchy Process (AHP) is proposed to estimate the weights, which are used as the coefficients in each objective function of the MOLP model and in a linear decision function. By solving this problem, it yields a suitable R&D investment ratio to each technology field. It is showed that the MOLP model can be useful decision aid in formulating R&D investment plan in I&T industry which needs to be decided by group decision makers, not by an individual. It is expected that the MOLP model works as the basis for planning R&D investment strategy in I&T industry.

• 기술혁신연구
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• 제17권1호
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• pp.119-148
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• 2009

최근에 서비스산업의 혁신 구조와 유형을 연구하기 위하여 서비스혁신 모형에 대한 논의가 활발하게 진행되고 있다. 본 연구에서는 디지털컨텐츠산업을 분석하여서 서비스 제공자, 컨텐츠 개발자, 사용자 및 네트워크 제공자 사이의 연계성을 연구할 수 있는 혁신시스템의 모형을 제시하였고, 서비스적인 면과 제조업적인 면을 동시에 포함하고 있는 디지털컨텐츠산업 혁신시스템의 특성을 분석하였다. 본 연구에서는 Gallouj and Weinstein(1997) 및 Gallouj(2002)이 제시한 서비스혁신시스템 모형의 바탕 위에서 디지털컨텐츠산업의 특성인 사용자 참가 및 네트워크 외부효과( network externalities) 등을 추가하여서 디지털콘텐츠 서비스 혁신시스템 모형을 구성하였다. 이 모형의 적절성을 검증하기 위하여 우리나라의 온라인게임산업의 혁신 과정 사례를 분석하였고, 사례분석을 통하여 디지털컨텐츠산업의 혁신 유형의 분석, 서비스혁신(service innovation)과 제조혁신(manufacturing innovation)과의 관계, 정부정책의 유효성 등에 대하여 분석하였다. 본 연구에서 도출한 혁신시스템 모형은 디지털컨텐츠산업의 역동성을 이해하는데 다음과 같은 이점을 가지고 있다. 첫째, 컨텐츠 개발자, 플랫폼 제공자 및 네트워크 제공자 사이에 일어나는 제조혁신과 서비스제공자와 사용자 사이에 일어나는 서비스혁신을 분리하였으므로 양 혁신 간의 상호작용을 모형 내에서 분석할 수 있다. 제조혁신과 서비스혁신의 분리를 통하여 디지털컨텐츠산업에 대한 정부의 규제 또는 촉진 정책의 영향을 구체적으로 분석할 수 있다. 둘째, 모형 내에 네트워크의 외부효과를 내생변수화 함으로써 네트워크의 외부효과가 혁신의 선 순환을 일으키는 방식과 구조를 알 수 있는 장점이 있다. 셋째, 서비스혁신의 유형은 제조혁신의 유형과 상이하며 그 효과에 있어서도 큰 차이가 나는 점을 파악할 수 있다. 특히 비 파생적 혁신의 하나인 재조합적 혁신은 제조업에서는 중요하지 않지만, 서비스산업에서는 핵심역량을 구성 한다. 서비스산업의 복제방지 제도가 미비함에도 불구하고 복제가 어려운 이유 중의 하나는 서비스산업이 가지고 있는 독특한 핵심역량 때문이다. 본 연구 결과는 디지털컨텐츠산업의 지속적인 발전의 기초가 되는 여러 유형의 혁신을 촉진하고 유지할 수 있는 정책적 기초를 제공할 수 있는 점에 의의가 있다.