• Title/Summary/Keyword: 정보경영학

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A Study on Evaluation Criteria and Procedures for Measuring Radiation Leakage of Aviation Security Equipment (항공보안장비 방사선 누출량 측정을 위한 평가 기준 및 절차에 관한 연구)

  • Kihyun Kim;Ye-Eun Jeong;Ye-Jun Kim;Yong Soo Kim
    • Journal of Korean Society for Quality Management
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    • v.51 no.3
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    • pp.435-444
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    • 2023
  • Purpose: To attain advanced performance certification, safety aspects along with functionality and performance are essential. Hence, this study suggests radiation leakage assessment methods for aviation security equipment during its performance certification. Methods: Detection technology guided the choice of radiation leakage assessment targets. We then detailed measurement and evaluation methods based on equipment type and operation mode. Equipment was categorized as container or box types for establishing measurement procedures. Results: We've developed specific radiation leakage assessment procedures for different types of aviation security equipment, crucial for ensuring airport safety. Using these procedures allows efficient evaluation of compliance with radiation leakage standards. Conclusion: The suggested radiation leakage assessment method aims to enhance aviation security and reliability. Future research will focus on identifying risks in novel aviation security equipment detection technologies and establishing safety standards.

Developing a Deep Learning-based Restaurant Recommender System Using Restaurant Categories and Online Consumer Review (레스토랑 카테고리와 온라인 소비자 리뷰를 이용한 딥러닝 기반 레스토랑 추천 시스템 개발)

  • Haeun Koo;Qinglong Li;Jaekyeong Kim
    • Information Systems Review
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    • v.25 no.1
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    • pp.27-46
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    • 2023
  • Research on restaurant recommender systems has been proposed due to the development of the food service industry and the increasing demand for restaurants. Existing restaurant recommendation studies extracted consumer preference information through quantitative information or online review sensitivity analysis, but there is a limitation that it cannot reflect consumer semantic preference information. In addition, there is a lack of recommendation research that reflects the detailed attributes of restaurants. To solve this problem, this study proposed a model that can learn the interaction between consumer preferences and restaurant attributes by applying deep learning techniques. First, the convolutional neural network was applied to online reviews to extract semantic preference information from consumers, and embedded techniques were applied to restaurant information to extract detailed attributes of restaurants. Finally, the interaction between consumer preference and restaurant attributes was learned through the element-wise products to predict the consumer preference rating. Experiments using an online review of Yelp.com to evaluate the performance of the proposed model in this study confirmed that the proposed model in this study showed excellent recommendation performance. By proposing a customized restaurant recommendation system using big data from the restaurant industry, this study expects to provide various academic and practical implications.

Analysis on ISMS Certification and Organizational Characteristics based on Information Security Disclosure Data (정보보호 공시 데이터를 이용한 정보보호 관리체계 인증과 조직의 특성 분석)

  • SunJoo Kim;Tae-Sung Kim
    • Information Systems Review
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    • v.25 no.4
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    • pp.205-231
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    • 2023
  • The Information Security Management System (ISMS) is a protection procedure and process that keeps information assets confidential, flawless, and available at any time. ISMS-P in Korea and ISO/IEC 27001 overseas are the most representative ISMS certification systems. In this paper, in order to understand the relationship between ISMS certification and organizational characteristics, data were collected from Korea Internet & Security Agency (KISA), Ministry of Science and ICT, Information Security Disclosure System (ISDS), Financial Supervisory Service, Data Analysis, Retrieval and Transfer System (DART), and probit regression analysis was performed. In the probit analysis, the relationship with four independent variables was confirmed for three cases: ISMS-P acquisition, ISO/IEC 27001 acquisition, and both ISMS-P and ISO/IEC 27001 acquisition. As a result of the analysis, it was found that companies that acquired both ISMS-P and ISO/IEC 27001 had a positive correlation with the total number of employees and a negative correlation with business history. In addition, the improvement direction of the ISMS-P certification system and information security disclosure system could also be confirmed.

How Does the Sharing of Information by Hospitals Affect Patient Satisfaction in USA (병원의 보건 정보 공유가 환자 만족도에 미치는 영향 - 미국 병원 데이터를 중심으로)

  • Na-Eun Cho
    • Korea Journal of Hospital Management
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    • v.29 no.2
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    • pp.48-56
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    • 2024
  • Purpose: Despite growing interest in health information sharing, researchers remain uncertain whether hospitals' sharing of information increases patient satisfaction, one of the key measures of the quality of care. This study evaluates the effect of health information sharing on patient satisfaction and whether the effect varies with context. Methodology: Regression analysis was conducted using a sample consisting of 6,641 year-hospital observations, based on data from the annual and IT surveys of the American Hospital Association (AHA) and Census. Findings: Our results suggest that information sharing using health IT increases patient satisfaction, while the extent (breadth) of information sharing increases patient satisfaction, the level of detail (depth) of information sharing does not. Our results also show that the effects of the breadth and depth of information sharing vary with different contexts, e.g., the percentage of people over 65 and Hirschman-Herfindahl index (HHI). Practical Implications: Policymakers should pay greater attention to realizing the full benefits of hospitals' information sharing based on market characteristics.

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온라인소액결제의 속성중요도와 이용행동에 관한 연구

  • Lee, Jae Hak;Park, Cheol
    • 한국경영정보학회:학술대회논문집
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    • 2008.06a
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    • pp.944-949
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    • 2008
  • 온라인거래가 폭발적으로 증가하면서 온라인결제에 대한 이용자 수요가 증가하고 있다. 특히 최근 들어 온라인소액결제는 다양한 디지털재화(MP3, VOD, 사이버머니 등)를 구입하는 데 활발하게 사용되고 있으며, eBay의 PayPal, 구글의 Checkout 등 해외에선 이미 차세대 온라인 비즈니스 영역으로 주목 받고 있다. 온라인소액결제는 전자 상거래에서 사용되는 결제 방식으로 금액이 작은 온라인 거래에서 사용되는 결제를 말한다. 하지만 온라인소액결제에 대한 국내외적인 성장에도 불구하고 이 분야에 대한 연구는 거의 전무한 상황이다. 본 논문에서는 온라인소비자들이 온라인 환경에서 소액결제를 이용할 때, 선호하는 결제수단과 중요시 여기는 속성에 대한 실증연구를 진행했다. 온라인 소액결제는 연령층에 따라 신용카드 결제와 상품권, 사이버머니 등의 결제 선호로 나뉘어 지고, 개인정보 보장 등과 같은 안전성에 관련된 속성을 중요시 하는 것으로 나타났다. 이와 같은 결과는 향후, 온라인 소액결제에 대한 소비자 특성과 도입 및 발전전략에 대한 다양한 해석을 통해 이비즈니스 분야에 실질적으로 활용될 수 있을 것이다.

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Continual Enhancement of Cutting Conditions Using Neural Network for Milling Process (밀링 가공조건의 지속적인 향상 방법론)

  • 박병태;서지한
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.24 no.69
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    • pp.133-143
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    • 2001
  • 가공조건은 가공비용과 시간을 줄이고 제품의 품질을 결정하는데 영향을 주는 주요 요인중의 하나이다. 본 논문에서는 밀링 공정을 위한 작업설계(Operation Planning) 시스템에서, 가공조건을 지속적으로 향상시키기 위한 새로운 방법론을 제안한다. 제안된 방법론은 밀링 작업에 대하여 (1) 퍼지 아트맵 신경회로망 모델에 의해 가공조건을 실시한 학습하고 (2) 교체 알고리즘이라 불리는 새로운 알고리즘을 포함한다. 제안된 교체 알고리즘은 기존의 학습 정보보다 효율적인 새로운 가공조건이 얻어졌을 때 이를 이용하여 기존의 학습 정보보다 효율적인 새로운 가공조건이 얻어졌을 때, 이를 이용하여 기존의 학습 정보를 대체하는 기능을 수행한다. 본 논문에서는 우선 작업설계 시스템의 전반적인 기능을 간략히 소개한 후 제안된 방법론에 의한 의사결정 과정을 자세히 기술한다. 또한, 다양한 시뮬레이션을 통하여 제안된 방법론의 의한 의사결정 과정을 자세히 기술한다. 또한, 다양한 시뮬레이션을 통하여 제안된 방법론의 성능을 예시하도록 한다.

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A Study on the Behavior of Knowledge Sharing (지식공유 이용행태에 관한 연구)

  • 김성희;변자영
    • Journal of the Korean Society for Library and Information Science
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    • v.35 no.2
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    • pp.227-247
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    • 2001
  • This study examines the concept of knowledge management and knowledge sharing. Then, it identifies obstacles and um factors for knowledge sharing. Finally, this stud, analyzes knowledge sharing behaviors in terms of knowledge necessity, knowledge sharing, reward system, and communication channels. The suggestions of the study can be used to establish knowledge sharing in organizations.

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Discovery of Urban Area and Spatial Distribution of City Population using Geo-located Tweet Data (위치기반 트윗 데이터를 이용한 도심권 추정과 인구의 공간분포 분석)

  • Kim, Tae Kyu;Lee, Jin Kyu;Cho, Jae Hee
    • Journal of Information Technology Services
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    • v.18 no.1
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    • pp.131-140
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    • 2019
  • This study compares and analyzes the spatial distribution of people in two cities using location information in twitter data. The target cities were selected as Paris, a traditional tourist city, and Dubai, a tourist city that has recently attracted attention. The data was collected over 123 days in 2016 and 125 days in 2018. We compared the spatial distribution of two cities according to the two periods and residence status. In this study, we have found a hot place using a spatial statistical model called dart-shaped space division and estimated the urban area by reflecting the distribution of tweet population. And we visualized it as a CDF (cumulative distribution function) curve so that the distance between all the tweets' occurrence points and the city center point can be compared for different cities.

An Empirical Analysis of Push-Pull-Mooring Factors Affecting on Switching Intention to Over the Top(OTT) Services (Over The Top(OTT) 서비스 전환의도에 영향을 미치는 Push-Pull-Mooring 요인에 대한 실증적 분석)

  • Park, Hyun Sun;Kim, Sang Hyun
    • The Journal of Information Systems
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    • v.30 no.4
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    • pp.71-94
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    • 2021
  • Purpose The purpose of this study is to verify impacts of factors, representing Push-Pull-Mooring(PPM) on switch intention to OTT(Over-The-Top) service in demand for content and to find relationship between factors through empirical analysis. Design/methodology/approach This study designed a research model by deriving factors affecting the intention to switch on OTT service based on the Push-Pull-Mooring framework and researches on OTT service. To test the hypothesis, a total of 357 responses were collected from individuals with experience in using OTT service and analyzed using SPSS26 and SmartPLS3.0. Findings According to the empirical analysis result, this study confirmed that the push, pull, and mooring factors proposed in this study had a significant effect on switching intention on OTT service. In addition, this study confirmed that both low switching cost and need for variety had a significant effect except for hypothesis H8.

A Study on the HSCM Capabilities which Affect Usage Intention of Logistics Collaboration (물류공동화 사용의도에 영향을 미치는 의료공급사슬관리 경쟁역량 연구)

  • Jung, Dae Hyun;Kim, Jin Sung
    • The Journal of Information Systems
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    • v.31 no.2
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    • pp.179-196
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    • 2022
  • Purpose The purpose of this study is to examine what expectations and mediating factors are needed as variables necessary for the intention to use logistics hollowing out, and at the same time, what factors strengthen medical SCM competitiveness. In order to develop competitive competency variables for medical institutions that affect the intention to use logistics cavitation, we would like to examine the key success factors applying AHP model analysis. Design/methodology/approach For AMOS analysis, we conducted an online survey of four universities and analyzed 212 samples. The analysis method used SPSS, and AMOS. We proposed several factors categorized as reliability, SCM advance, and scalability. Findings The results showed that all proposed variables (competitive competencies for HSCM, expected performance) had a significant impact on intention of physical distribution cooperation. According to the measurement methods proposed in this study, key success factors for strengthening the capacity of HSCM can increase the need for physical distribution cooperation through expected performance.