• 제목/요약/키워드: Business Fields

검색결과 990건 처리시간 0.027초

전자무역을 위한 통관업무의 개선에 관한 연구 (A Study on the Improvement of Clearance Procedure for Electronic Trade)

  • 이봉수
    • 무역상무연구
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    • 제37권
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    • pp.253-273
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    • 2008
  • The thesis examines the problems for improvement of clearance procedure and shows the various ways of overcoming them. Practical implications regarding the innovation of clearance procedure are as follows. First, the basis of information for customs clearance service should be built for unifying customs clearance information and imports and exports goods. Second, Customs Service need to keep on trying continuously that customs clearance system should be inter-convertible in the inside and outside of the country. Third, reliable law and execution system should be needed to revitalize customs clearance business and the government need to take measures for new system which is suitable for our own country. Finally, mutual cooperation administration system for customer in domestic and foreign country should be made for supplying high quality clearance service. As we have reviewed above contents, the customs clearance business meet the needs of innovation with new information technique to overcome lots of problems which come by when we execute simplification of customs clearance procedure and customs inspection administration fairly. As well as, when we review a few methods in the line of our customs system, we need strongly completion of related system and arrangements in trade business and similar fields. Hereafter we hope the limitation of this study should be overcome by the process of proper inspections through subsequent studies.

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Bank Credit, Trade Credit and Growth of Listed Agricultural Firms in Vietnam

  • LE, Ninh Khuong;BUI, Anh Tuan;PHAN, Tu Anh
    • The Journal of Asian Finance, Economics and Business
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    • 제7권11호
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    • pp.303-314
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    • 2020
  • This paper investigates the relationships between bank credit and trade credit with profit of 130 agricultural firms listed on Vietnam's stock exchanges during the period 2008-2014. Using the GMM approach, the paper reveals inverted-U shaped (∩) relationships between bank credit and trade credit with profit. Specifically, the optimal threshold of bank credit and trade credit to total assets of the firms are 0.4173 and 0.2425, respectively. The findings mean that if the ratio of bank credit to total assets exceeds the benchmark of 0.4173, firms should consider restructuring debts to get them back to the benchmark. To do so, firms should withdraw from those business fields that are not of their profession, in addition to liquiditizing unused assets to repay debts and not using short-term credit to invest in long-term projects. Firms may use trade credit wisely when other sources of finance are lacking. In concrete terms, firms can increase trade credit use if the ratio of trade credit to total assets is below 0.2425. Yet, if this ratio goes beyond this benchmark, firms should get back to this benchmark, e.g., keeping a suitable amount of inventory. The implications of this study is to boost firm growth in the proposed way.

프로젝트 관리 시스템에 관한 연구 (A Study on Project Management System)

  • 박구락
    • 디지털융복합연구
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    • 제13권1호
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    • pp.305-311
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    • 2015
  • 현대에 들어 IT 시장은 대형화와 복합화가 진행되고 경쟁이 더 심화되고 있기 때문에 전통적인 사업관리 방식으로는 관리하기 어려운 정보시스템구축 사업이 많아지면서 이를 효율적으로 관리할 수 있는 제도적 장치와 이를 지원하는 사업관리 프로세스를 도출하기 위하여 실무자(현장PM 및 사업참여자)를 대상으로 설문조사를 실시하였다. 이를 통해 소프트웨어개발 사업관리 요소기술의 중요도와 취약도를 파악하여 개선해야 할 요소기술이 도출되었고, 이를 활용하여 사업관리의 필요성과 총괄사업관리자의 역할과 핵심 사업관리 분야를 결정하는데 논리적 근거를 제시하는 매우 유의미한 결과를 얻었다.

Lean Six Sigma를 적용한 물류 프로세스 개선에 관한 연구 (A Study of The Improvement For In And Out Logistics Process Applying Lean Six Sigma)

  • 장재식;남호기;박상민
    • 대한안전경영과학회지
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    • 제9권4호
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    • pp.99-112
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    • 2007
  • In most recent years, the business competition has spreads over all fields of corporations and their management area regardless of time and place, which makes the survival environment of each enterprise fiercer. In order to secure a high position in the competitive market, the various firms has implemented many methods related to price, quality, and service efficiency. However, the implementation with only low price or high quality might be helpless to hold a high position in modem market. Moreover more attention should be paid to the internal business processes of an organization. Therefore, a new and different method should be searched or developed in order to win the competitive power among other enterprises. This research will focus on the improvement of the business processes within the non-manufacturing industry by applying Lean Six Sigma methodology. DMAIC method will be applied to improve the inbound and outbound logistics processes, manage the inbound and outbound vehicles, and control the receiving and shipping activities.

확장된 UTAUT 모델을 활용한 간편결제 서비스 수용 영향요인 도출에 관한 연구 (A Study on the Factors Affecting Acceptance of Easy Payment Services Using Extended UTAUT Model)

  • 정영수;정철호
    • Journal of Information Technology Applications and Management
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    • 제26권2호
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    • pp.1-11
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    • 2019
  • Recently, mobile and smart devices are rapidly spreading. As a result, financial settlement services, which were formerly face-to-face and PC-based, have now been replaced by mobile environments. One of the business areas that utilize FinTech is focused on the easy payment services. The main purpose of this study is to analyze empirically the factors affecting the acceptance of the easy payment services. To achieve this purpose, we surveyed the individuals who have some understanding about the easy payment services. The collected 206 data were used for statistical analysis. The results of the hypotheses test using structural equation model are summarized as follows. First, performance expectancy, social influence, and security perceived by users of the easy payment services have positive influence on positive attitude, but effort expectancy does not. Second, facilitating conditions and positive attitude of easy payment services have positive effects on service adoption. Based on the results of the analysis, it provided meaningful implications for practitioners and researchers in related fields.

Smart Study's Strategy in the Kids Content Industry: VRIO Framework

  • LEE, Jun-Ho;KIM, Taejoong;PARK, Hyunjun
    • 융합경영연구
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    • 제8권3호
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    • pp.1-8
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    • 2020
  • Purpose: Korea has a long history of kid's content industries. Also, Korea's kid's content market has been thriving for a long time, but recently, a company called Smart Study has sharply raised Korea's status because of its competitive advantage and capability in the kid's content industry. Research design, data and methodology: This research has explored and examined how Smart Study was successful in kid's content industries. Also, the research examined the present and potential competitors in the kid's content industry. Results: We investigated and explored how they were different from other Korean kid industries through value, rare, inimitability, and organization (VRIO) framework. Conclusions: One of the primary reasons for their success is because Smart Study has strengths in marketing that brand character and making consumers loyal to the company. Lastly, this paper attempted to explain how they have promoted their company and investigated how other companies promote themselves in the kid's content industry. This paper has limitations. We could not explain all the fields of kid content. The kids' content has developed tremendously, but there are many hidden parts. It has been successful in Korea and is still growing and proliferating. Also, there is a slight lack of scarcity in distribution methods.

Analysis of Google's success factors and direction

  • LEE, Sang-Youn;KIM, Se-Jin
    • 한국인공지능학회지
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    • 제8권2호
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    • pp.11-16
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    • 2020
  • Among the innovative companies leading the era of the 4th industrial revolution, the world's largest Internet company is Google. Google has grown by providing convenient services such as Internet search, Android smartphone operating system, and video. Now, Google is leading the global IT industry by continuing to develop in various new business fields based on open service platforms, artificial intelligence, and big data. In this study, an exploratory discussion was conducted on Google's success factors and future directions. The purpose of the research is to understand the development process of the IT field from the successfactors of Google and to analyze the development direction of the future IT industry. Google's success factors were its open platform policy and successful acquisitions of external companies. In fact, most of the services Google offers come from companies that have acquired and acquired them. In addition, there was a corporate culture that values and supportsthe spirit of challenge and autonomy of members who are not afraid of failure. Based on this study's review of Google's direction analysis, the follow-up study will infer the direction of the IT industry in depth and look at the future technologies that IT majors need to prepare.

Mendeley를 통한 문헌정보학 주요 분야 연구 논문의 독자 분석 (Study on Readers about Library and Information Science Fields' Articles by Analyzing Mendeley)

  • 조재인
    • 한국도서관정보학회지
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    • 제48권1호
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    • pp.77-97
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    • 2017
  • 웹 기반의 참고문헌관리도구를 통해서는 실무자, 교육자, 학생 등과 같이 학계 밖의 독자들에 대한 영향력을 추정할 수 있을 뿐 아니라, 어떠한 신분과 전공 분야의 독자들이 논문을 읽고 있는지 추적할 수 있다. 본 연구는 참고문헌관리도구인 Mendeley의 독자 분석을 통하여, 문헌정보학 연구 논문이 어떠한 신분과 전공의 독자들에게 읽히고 있는지 분석했으며, Mendeley 독자수와 피인용도간에는 어떠한 상관성이 있는지 조사하였다. 독자의 신분과 전공을 분석한 결과, 문헌정보학/정보학 전공자이외에도, 경영학, 의학, 교육학 분야 등에 독자들이 분포되어 있었으며, 독자들의 학술적 신분과 전공에 따라 상대적으로 많이 읽고 있는 논문의 주제 영역에 유의미한 차이(p=.000)가 존재하는 것으로 분석되었다. 한편 Mendeley에 저장된 논문의 피인용도와 Mendeley 독자수간의 관계를 피어슨 상관계수(Pearson correlation coefficient) 산출을 통해 분석한 결과, r=0.585의 상관성이 있는 것으로 나타났으며, 교수와 같이 주로 인용을 목적으로 논문을 읽는 저자 그룹으로 제한할 경우 r=0.619의 강한 상관성이, 사서와 같이 실무적 문제 해결과 학습을 위해 논문을 읽는 비저자 그룹으로 제한할 경우 r=0.384로 약한 상관성이 나타나는 것으로 분석되었다.

빅데이터 분석을 활용한 스마트팩토리 연구 동향 분석 (Analysis of Smart Factory Research Trends Based on Big Data Analysis)

  • 이은지;조철호
    • 품질경영학회지
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    • 제49권4호
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    • pp.551-567
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    • 2021
  • Purpose: The purpose of this paper is to present implications by analyzing research trends on smart factories by text analysis and visual analysis(Comprehensive/ Fields / Years-based) which are big data analyses, by collecting data based on previous studies on smart factories. Methods: For the collection of analysis data, deep learning was used in the integrated search on the Academic Research Information Service (www.riss.kr) to search for "SMART FACTORY" and "Smart Factory" as search terms, and the titles and Korean abstracts were scrapped out of the extracted paper and they are organize into EXCEL. For the final step, 739 papers derived were analyzed using the Rx64 4.0.2 program and Rstudio using text mining, one of the big data analysis techniques, and Word Cloud for visualization. Results: The results of this study are as follows; Smart factory research slowed down from 2005 to 2014, but until 2019, research increased rapidly. According to the analysis by fields, smart factories were studied in the order of engineering, social science, and complex science. There were many 'engineering' fields in the early stages of smart factories, and research was expanded to 'social science'. In particular, since 2015, it has been studied in various disciplines such as 'complex studies'. Overall, in keyword analysis, the keywords such as 'technology', 'data', and 'analysis' are most likely to appear, and it was analyzed that there were some differences by fields and years. Conclusion: Government support and expert support for smart factories should be activated, and researches on technology-based strategies are needed. In the future, it is necessary to take various approaches to smart factories. If researches are conducted in consideration of the environment or energy, it is judged that bigger implications can be presented.

텍스트 마이닝을 이용한 스마트 도시계획 수립을 위한 전략분야 도출연구: 부산 사례를 바탕으로 (Identification of Strategic Fields for Developing Smart City in Busan Using Text Mining)

  • 채윤식;이상훈
    • 디지털융복합연구
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    • 제16권11호
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    • pp.1-15
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    • 2018
  • 본 연구의 목적은 텍스트 마이닝 기법을 활용하여 부산 및 기타 지자체의 도시계획 보고서에 포함되어 있는 서지정보를 분석하고 새로운 스마트도시계획의 수립을 위한 전략 분야를 도출하는 것이다. 텍스트 마이닝 분석은 구조화되어 있지 않은 문서로부터 키워드를 추출하고 획득한 정보의 특성과 패턴을 발견하는 기법으로 최근 지식관리 측면에서 많이 사용되고 있다. 본 분석을 통해 초기의 부산 도시계획은 개별 산업분야 고도화에 초점이 맞춰져 있을 뿐 각 분야별 정보시스템의 연계에 대한 논의가 적은 것으로 나타났지만 최근 계획에서는 도시통합운영관리와 관련한 물리적 인프라와 ICT시스템과 관련한 내용이 다수 포함되어있는 것으로 나타났다. 특히, 타 지자체에 비해 항만/물류, 문화, 전시 분야가 특유의 서비스영역으로 도출되었지만 도시안전, 데이터공유, 신재생에너지 분야에 대한 계획은 부족한 것으로 나타났다. 본 연구는 향후 새로운 스마트 도시계획 수립을 위한 정책적 시사점을 제공할 것으로 기대한다.