• Title/Summary/Keyword: 정책결합

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The Impact of Voucher Support on Economic Performance for AI Companies: Policy Effectiveness Analysis using PSM-DID Model (AI 중소기업 바우처 지원이 기업성과에 미치는 영향: PSM-DID 결합모형을 활용한 정책효과 분석)

  • SeokWon, Choi;JooYeon, Lee
    • Journal of Korea Society of Industrial Information Systems
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    • v.28 no.1
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    • pp.57-69
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    • 2023
  • In a situation where digital transformation using artificial intelligence is active around the world, the growth of domestic AI companies or AI industrial ecosystems is slow. Where a large amount of government funds related to AI are being invested to overcome the difficult economic situation, systematic research on the effect is insufficient. So, this study aimed to examine the policy effectiveness of the government artificial intelligence solution voucher support project for small and medium-sized enterprises (SMEs) using Propensity Score Matching (PSM) and Difference-in-Differences (DID) on the financial performance of beneficiary companies. For empirical analysis, PSM-DID analysis was performed using sales performance since 2019 for 461 companies with a history of voucher support among the AI SMEs data released by the National IT Industry Promotion Agency. As a result of the analysis, the beneficiary companies' asset growth, salary, and R&D expenses increased overall after government support, and no significant contribution could be confirmed in terms of profits. This study suggests that the voucher policy business directly contributed to the company's growth in the short term, but it requires a certain period of time to generate profits.

A Case Study on the Development of an ICT Convergence Innovation Cluster for Creative Economy (창조경제를 위한 ICT 융합 혁신 클러스터 구축 사례 연구)

  • Im, Jongbin;Kim, Yeseul;Chung, Sunyang
    • Journal of Korea Technology Innovation Society
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    • v.17 no.1
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    • pp.1-24
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    • 2014
  • The new Korean government sets its main policy direction as Creative Economy. The Creative Economy can be defined as a growth strategy that establishes new companies, enhances the competitiveness of established companies and creates new markets, industries and jobs in consequence of combining of creative imagination, science and technology and ICT. In this context, the concept of innovation cluster, which aims to foster technological innovations from an organic ecosystem perspective, can be a valid policy instrument for attaining Creative Economy. Innovation cluster can and must make a contribution to achieving the Creative Economy of Korea. In particular, the ICT Convergence Innovation Cluster will be a good strategy for this purpose. Based on this conceptual background, this paper analyzes a recently notable case of an ICT Convergence Cluster in Korea, Pangyo Technovalley (PTV). We argue that the Pangyo Technovalley is a representative cluster of converging ICT and science and technology. We identify the major factors for successful development of ICT cluster: regional government's flexible response to environmental change, careful pre-planning and balance between private and public involvement. In addition, we also found that additional factors, settlement condition for securing good workforce, agglomeration of various innovation actors for promoting convergence, and cluster network revitalization are also important for implementing the creative ICT convergence cluster.

An Empirical Research on Information Privacy Concern in the IoT Era (사물인터넷 시대의 정보 프라이버시 염려에 대한 실증 연구)

  • Park, Cheon-Woong;Kim, Jun-Woo
    • Journal of Digital Convergence
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    • v.14 no.2
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    • pp.65-72
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    • 2016
  • This study built the theoretical frameworks for empirical analysis based on the analysis of the relationship among the concepts of risk of information privacy, the experience of information privacy, the policy of information privacy and information control via the provision intention studies. Also, in order to analyze the relationship among the factors such as the risk of information privacy, intention to offer the personal information, this study investigated the concepts of information privacy and studies related with the privacy, established a research model about the information privacy. Followings are the results of this study: First, the information privacy risk, information privacy experience, information privacy policy, and information control have positive effects upon the information privacy concern. Second, the information privacy concern has the negative effects upon the provision intention of personal information.

Analysis of an M/M/1 Queue with an Attached Continuous-type (s,S)-inventory ((s,S)-정책하의 연속형 내부재고를 갖는 M/M/1 대기행렬모형 분석)

  • Park, Jinsoo;Lee, Hyeon Geun;Kim, Jong Hyeon;Yun, Eun Hyeuk;Baek, Jung Woo
    • Journal of Korea Society of Industrial Information Systems
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    • v.23 no.5
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    • pp.19-32
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    • 2018
  • This study focuses on an M/M/1 queue with an attached continuous-type inventory. The customers arrive into the system according to the Poisson process, and are served in their arrival order; i.e., first-come-first-served. The service times are assumed to be independent and identically distributed exponential random variable. At a service completion epoch, the customer consumes a random amount of inventory. The inventory is controlled by the traditional (s, S)-inventory policy with a generally distributed lead time. A customer that arrives during a stock-out period assumed to be lost. For the number of customers and the inventory size, we derive a product-form stationary joint probability distribution and provide some numerical examples. Besides, an operational strategy for the inventory that minimizes the long-term cost will also be discussed.

Analysis of Personal Information Data Flow Structure based on Network Theory (네트워크 이론을 적용한 개인정보 유통구조 분석)

  • Lee, Jae-Geun;Kim, Hyun Jin;YOUM, Heung Youl;Kang, Sang-ug
    • Informatization Policy
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    • v.21 no.1
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    • pp.17-34
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    • 2014
  • The study on the structure of personal information flows is very important because government can measure and respond the risks caused by companies which collect personal information from other personal data users to operate their business. Recently, as the value of personal information is increasing, number of companies which intend to process a large scale of personal information is increasing too. Accordingly, the issue on the structure of personal data flow has become important for the leading personal information processors which receive far more personal information from others to comply the personal information protection laws. However, research on this issue has rarely performed so far. Therefore, this study proposes a framework for personal information data flow structure based on network theory. Theoretically, the results of the study may contribute to extending the application areas of the network theory to personal information area. Practically, the study may contribute to assisting regulatory authorities to find and monitor personal information processors.

Communication Models and Performance Evaluation for the Delivery of Data and Policy in a Hybrid-Type Intrusion Detection System (혼합형 침입 탐지 시스템에서 데이터 및 정책 전달 통신 모델과 성능 평가)

  • Jang, Jung-Sook;Jeon, Yong-Hee;Jang, Jong-Soo;Sohn, Seung-Won
    • The KIPS Transactions:PartC
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    • v.10C no.6
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    • pp.727-738
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    • 2003
  • Much research efforts are being exerted for the study of intrusion detection system(IDS). However little work has been for the communication medels and performance eveluation of the IDS. Here we present a communication framework for doing hybrid intrusion detection in which agents are used for local intrusion detections with a centralized data anaysis componenta for a global intrusion detection at multiple domains environment. We also assume the combination of host-based and network-based intrusion detection systems in the oberall framework. From the local domain, a set of information such as alert, and / or log data are reported to the upper level. At the root of the hierarchy, there is a global manager where data coalescing is performed. The global manager delivers a security policy to its lower levels as the result of aggregation and correlation of intrusion detection alerts. In this paper, we model the communication mechanisms for the hybrid IDS and develop a simular using OPNET modeller for the performance evaluation of transmission capabillities for the delivery of data and policy. We present and compare simulation results based on several scenarios focuding on communication delay.

Analyzing stakeholders and policy implications of online platform regulations (온라인 플랫폼의 규제에 따른 이해관계 분석과 정책적 시사점)

  • Kim, Gayoung;Jung, Ae Rin;Kim, Dohyeon
    • Journal of Digital Convergence
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    • v.19 no.9
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    • pp.19-31
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    • 2021
  • The influence of online platforms has become even more powerful than ever and there has been growing calls to regulate its enormous market power. Issues relating to platform monopolies have been discussed in Korea and recently the Online Platform Intermediary Transactions Fairness Bill has passed the Cabinet Council. Thus, we aim to analyze online platform regulations from stakeholder perspective and then address the regulatory direction. We first investigate the consequences of platform strategies including mergers that platform owners take. In addition, we inspect the possible effects of online platform regulations on its stakeholders. Our research can contribute to having a more balanced view on the online platform regulation that is somewhat in the favor of protecting platform complementors and consumers.

Comparative Study of Causality based quantitative Economic Impact Analysis Models for Utilizing Spectrum Resource (전파자원 활용을 위한 인과 관계 기반 정량적 경제 파급 효과 분석모형 비교 연구)

  • Kim, Taehan;Kim, Tae-Suk
    • The Journal of the Korea Contents Association
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    • v.18 no.11
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    • pp.430-446
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    • 2018
  • In this paper, we conducted a comparative study on the methodology for impact analysis as the economic grounds for formulating policy and investment plan concerned with utilizing spectrum resource. In order to provide numerical results for objective comparison and selection among policy and investment planning, methods to be analyzed are focused on quantitative methodology based on mathematical models, consequently the utility and limits of econometric model, input-output analysis, computable general equilibrium and system dynamics are compared from various viewpoints including analysis cost. Besides, we compared the methodologies in the standpoint of utilizing spectrum and discussed the recent findings of mixed models combining multiple methodologies to exploit the advantages of each methodology and to offset the limit. Results of the research can be used as reference indicators to select the method that conforms to the purpose and priority of analysis verifying the efficiency of execution of policies and investment plans.

Calculation of Virtual Water Trading Between Countries (국가 간 가상수 거래 산정)

  • Park, Sung Je;Kang, In Hye;Park, Jui;Ryu, Si Saeng
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.210-210
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    • 2018
  • 효과적인 물 사용과 물 관리 정책을 수립하기 위해서는 산업적 차원에서의 물 발자국 연구를 통해 산업 전반적인 수자원 활용 상황을 비교 분석할 필요가 있다. 또한 앞으로 국가 차원의 물 안보 정책을 수립하기 위해서는 기후변화와 국제환경 변화로 인해 우리나라의 물발자국 변화를 예측하는 것이 필수적이다. 국외에서는 일찍이 물과 환경전문 교육기관인 UNESCO-IHE를 중심으로 물발자국 산정방식의 이론적 연구와 함께 가상수 무역에 대한 연구를 진행해왔으며, 국제표준화기구(International Organization for Standardization, 이하 ISO)는 2014년 물발자국에 대한 가이드라인을 국제표준으로 지정하였다. 국내에서는 2009년 가상수와 물발자국에 대한 이론이 소개되어 공공기관의 주도로 가상수 및 물발자국과 관련된 연구가 진행되어 왔다. 이러한 연구결과를 바탕으로 데이터베이스를 구축하기도 하였으나 1차 산업 위주로 구성되어 있어 2차, 3차 산업 등 다른 산업에 대한 정보는 부족한 상태이다. 따라서 앞으로는 2차, 3차 산업 등에 대한 연구가 필요하다. 국제 가상수 거래의 도출을 위한 기초자료로서 WIOD의 input-output tables와 environmental accounts 등을 활용하였다. 본 연구에서는 생산량, 물사용량과 관련된 지표를 결합하여 가상수량을 도출하는 과정을 제시하고, 가상수 이동흐름 및 추이를 분석하였다. 이를 위해 주요 16개국(아르헨티나, 호주, 브라질, 캐나다, 중국, 프랑스, 독일, 인도, 일본, 한국, 러시아, 사우디아라비아, 태국, 미국, 베트남)의 농축산물 주요 10개 품목(쌀, 보리, 옥수수, 밀, 콩, 감자, 채소, 소고기, 돼지고기, 계란)을 대상으로 분석을 실시했다. 또한 국가별 가상수 교역량, 국가 간 가상수 교역량에 대한 1989년부터 2014년까지의 데이터셋을 구축하고 이에 대해 분석을 수행하였다. 가상수 교역의 품목별 분석결과 주요 16개국의 주요 가상수 수입 품목은 콩, 옥수수, 밀, 보리 순이며, 주요 가상수 수출 품목은 밀, 콩, 옥수수, 쌀 순으로 파악되었다. 가상수의 종류별로 분석한 결과 가상수 교역량은 지난 25년간 녹색 가상수가 94%의 압도적으로 많은 비중을 차지하고 있었다. 국가별로 가상수 수출입량을 분석한 결과 1989년에서 2013년까지 미국, 브라질, 아르헨티나, 호주 등 주요 농업 국가들이 전 세계 가상수 수출에서 우위를 점하고 있는 것으로 분석되었다.

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A Study on The Effect of Perceived Value and Innovation Resistance Factors on Adoption Intention of Artificial Intelligence Platform: Focused on Drug Discovery Fields (인공지능(AI) 플랫폼의 지각된 가치 및 혁신저항 요인이 수용의도에 미치는 영향: 신약 연구 분야를 중심으로)

  • Kim, Yeongdae;Kim, Ji-Young;Jeong, Wonkyung;Shin, Yongtae
    • KIPS Transactions on Computer and Communication Systems
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    • v.10 no.12
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    • pp.329-342
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    • 2021
  • The pharmaceutical industry is experiencing a productivity crisis with a low probability of success despite a long period of time and enormous cost. As a strategy to solve the productivity crisis, the use cases of Artificial Intelligence(AI) and Bigdata are increasing worldwide and tangible results are coming out. However, domestic pharmaceutical companies are taking a wait-and-see attitude to adopt AI platform for drug research. This study proposed a research model that combines the Value-based Adoption Model and the Innovation Resistance Model to empirically study the effect of value perception and resistance factors on adopting AI Platform. As a result of empirical verification, usefulness, knowledge richness, complexity, and algorithmic opacity were found to have a significant effect on perceived values. And, usefulness, knowledge richness, algorithmic opacity, trialability, technology support infrastructure were found to have a significant effect on the innovation resistance.