• 제목/요약/키워드: Distribution Information Technology

검색결과 2,668건 처리시간 0.033초

연구개발투자 지출이 기업의 시장가치에 미치는 영향: 유통산업을 중심으로 (The Effect of R&D Expenditures on Market Value of the Firm: Focusing on Distribution Industry)

  • 김진회
    • 유통과학연구
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    • 제17권1호
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    • pp.89-94
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    • 2019
  • Purpose - In recent digital information society, the most important factor of to increase the firm value of the distribution company is not the activity to increase the sales through the general advertisement of the unspecified majority by purchasing the finished product, but to grasp the needs of the consumers and to develop a new distribution platform that connects producers and consumers directly through consumer-tailored advertisements centering on e-commerce. Therefore each company in the distribution industry is spending a lot on research and development investment to innovate the distribution technology and distribution system, and the research and development investment expenditures can affect firm value. The purpose of this study is to analyze the impact of research and development investment expenditures in the distribution industry on market value of the firm. Research design, data, and methodology - As a research method, the sample firms are those which are listed on korea stock exchange market from 2011 to 2017 and the research model is Ohlson(1995) model, which is a representative valuation model using accounting information. This study analyzes the effect of distribution company's research and development investment expenditures and advertising expenditures on market value of the firm Results - The results of empirical analysis show that research and development investment expenditures for developing new distribution technology and advertising expenditures for promoting sales in the distribution company are all positively related to the market value of firm. Therefore, in describing market value of the distribution company, it is shown that the research and development investment expenditures and advertising expenditures together with the net asset and net profit are the important accounting information that explains the market value of firm. This result show that investment expenditures on research and development for the innovation of distribution technology of distribution company creates intangible intellectual assets and increases market value of the firm. Conclusions - The result of this study shows that research and development investment expenditures for the new distribution technology as well as the spending for the advertisement in the future is a very important investment expenditures that can increase the market value of the distribution company.

Exploratory Methods for Joint Distribution Valued Data and Their Application

  • Igarashi, Kazuto;Minami, Hiroyuki;Mizuta, Masahiro
    • Communications for Statistical Applications and Methods
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    • 제22권3호
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    • pp.265-276
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    • 2015
  • In this paper, we propose hierarchical cluster analysis and multidimensional scaling for joint distribution valued data. Information technology is increasing the necessity of statistical methods for large and complex data. Symbolic Data Analysis (SDA) is an attractive framework for the data. In SDA, target objects are typically represented by aggregated data. Most methods on SDA deal with objects represented as intervals and histograms. However, those methods cannot consider information among variables including correlation. In addition, objects represented as a joint distribution can contain information among variables. Therefore, we focus on methods for joint distribution valued data. We expanded the two well-known exploratory methods using the dissimilarities adopted Hall Type relative projection index among joint distribution valued data. We show a simulation study and an actual example of proposed methods.

Automated Link Tracing for Classification of Malicious Websites in Malware Distribution Networks

  • Choi, Sang-Yong;Lim, Chang Gyoon;Kim, Yong-Min
    • Journal of Information Processing Systems
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    • 제15권1호
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    • pp.100-115
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    • 2019
  • Malicious code distribution on the Internet is one of the most critical Internet-based threats and distribution technology has evolved to bypass detection systems. As a new defense against the detection bypass technology of malicious attackers, this study proposes the automated tracing of malicious websites in a malware distribution network (MDN). The proposed technology extracts automated links and classifies websites into malicious and normal websites based on link structure. Even if attackers use a new distribution technology, website classification is possible as long as the connections are established through automated links. The use of a real web-browser and proxy server enables an adequate response to attackers' perception of analysis environments and evasion technology and prevents analysis environments from being infected by malicious code. The validity and accuracy of the proposed method for classification are verified using 20,000 links, 10,000 each from normal and malicious websites.

A Design of a Metadata for Edutech Tools Distribution

  • Yong KIM;Dinh Tuan LONG;Ock Tae KIM
    • 유통과학연구
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    • 제22권5호
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    • pp.81-91
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    • 2024
  • Purpose: Edutech, which is the application of information and communication technology to education, is being introduced in various ways across all levels, from primary and secondary education to lifelong education. The purpose of this study was to present metadata about Edutech tools to provide the method for providing various Edutech tools. Research design, data, and methodology: To achieve the research purpose, the necessary elements for the metadata of Edutech tools were first derived based on a literature review. A focus group interview (FGI) with experts was conducted to gather opinions on the developed metadata, further validating its appropriateness. Results: The metadata area consisted of "Basic Information", "Product Information", and "Utilization Information". The "Basic Information" section had 9 items, "Product Information" had 8 items, and "Utilization Information" was presented with 4 items. Conclusions: This study proposed metadata for Edutech tools, which can be utilized to develop distribution system to proliferate and harness various Edutech tools in the educational setting. For the future establishment of an Edutech tool distribution system based on this metadata, it's imperative to operate a credible platform to ensure a stable distribution framework.

차세대 배전지능화시스템 개발을 위한 지리정보시스템 적용 (Geographic Information System for Developing Advanced Distribution Management System)

  • 김동욱;조성호;서호진;박영배
    • KEPCO Journal on Electric Power and Energy
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    • 제5권2호
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    • pp.67-74
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    • 2019
  • 최근 신재생 분산전원의 투입 확대로 배전계통 내 변동성이 커짐에 따라서 안정적인 배전계통 운영에 대한 우려가 커지고 있는 상황이다. 미래 배전계통의 효율적인 관리를 위해서 새로운 시각화 기술을 이용한 배전계통 운영시스템의 개선이 필요하다. 본 논문에서는 배전분야의 GIS 도입 현황과 관련 기술 동향을 기술하고, 배전계통 운영을 위해 GIS시스템의 필요성과 GIS기술 도입 시 해결해야할 문제점을 분석한다.

Target Market Determination for Information Distribution and Student Recruitment Using an Extended RFM Model with Spatial Analysis

  • ERNAWATI, ERNAWATI;BAHARIN, Safiza Suhana Kamal;KASMIN, Fauziah
    • 유통과학연구
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    • 제20권6호
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    • pp.1-10
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    • 2022
  • Purpose: This research proposes a new modified Recency-Frequency-Monetary (RFM) model by extending the model with spatial analysis for supporting decision-makers in discovering the promotional target market. Research design, data and methodology: This quantitative research utilizes data-mining techniques and the RFM model to cluster a university's provider schools. The RFM model was modified by adapting its variables to the university's marketing context and adding a district's potential (D) variable based on heatmap analysis using Geographic Information System (GIS) and K-means clustering. The K-prototype algorithm and the Elbow method were applied to find provider school clusters using the proposed RFM-D model. After profiling the clusters, the target segment was assigned. The model was validated using empirical data from an Indonesian university, and its performance was compared to the Customer Lifetime Value (CLV)-based RFM utilizing accuracy, precision, recall, and F1-score metrics. Results: This research identified five clusters. The target segment was chosen from the highest-value and high-value clusters that comprised 17.80% of provider schools but can contribute 75.77% of students. Conclusions: The proposed model recommended more targeted schools in higher-potential districts and predicted the target segment with 0.99 accuracies, outperforming the CLV-based model. The empirical findings help university management determine the promotion location and allocate resources for promotional information distribution and student recruitment.

방사능 측정장치 운영 기술 및 측정정보 통합관리 시스템 개발 (Development of Operational Technology and Integrated Measurement Information Management System for the Radioactivity Measurement Device)

  • 진동식;김경령;이재근
    • 대한방사선기술학회지:방사선기술과학
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    • 제47권3호
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    • pp.183-195
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    • 2024
  • Additional functional upgrades to the large-area compton camera (LACC) measurement device that can provide characteristics evaluation information (nuclear species and radioactivity) and two-dimensional or three-dimensional distribution imaging information of radioactive materials existing in surface or internal of concrete structures are required in terms of work stability and efficiency in order to apply to actual decommissioning sites such as nuclear power plants or medical cyclotron facilities by using this measurement device. To this purpose, the technology that allows radiation workers to intuitively and visually check the distribution of radioactive materials in advance by matching the two-dimensional distribution imaging information of radioactive materials obtained through the LACC measurement device and visual imaging of the measurement zone (10 m × 5 m) was developed. In addition, the separate system that can automatically adjust the position (height) in units of the measurement area size (0.7 m × 0.3 m × 0.8 m) of the LACC measurement device was developed and the integrated management system for characteristics evaluation information and two-dimensional or three-dimensional distribution imaging information obtained per unit of measurement for radioactive materials was developed. These functional upgrades related to LACC measurement device can improve work efficiency and safety when measuring radioactivity of concrete structures and enable the establishment of appropriate decommissioning strategies using radioactivity measurement information for decommissioning nuclear power plants or medical cyclotron facilities.

Analysis of Induced Voltage on Telecommunication Line in Parallel Distribution System

  • Kim, Hyun-Soo;Rhee, Sang-Bong;Lee, Soon-Jeong;Kim, Chul-Hwan;Kim, Yoon Sang
    • Journal of Electrical Engineering and Technology
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    • 제9권2호
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    • pp.726-732
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    • 2014
  • A current flowing through a distribution conductor produces induced voltage, which is harmful to a telecommunication line. Previous research on induced voltage has been focused on single-circuit lines in the distribution system. However, the double-circuit lines, referred to as parallel distribution lines, are widely used in distribution systems because they have significant economic and environmental advantages over single-circuit lines. Therefore, a study on the induced voltage in double-circuit lines is needed. This paper presents a method of calculating the induced voltage in a parallel distribution system using four-terminal parameters and vector analysis. The calculation method is verified by the Electromagnetic Transient Program (EMTP) simulation.

The Effect of Investing into Distribution Information and Communication Technologies on Banking Performance the Empirical Evidence from an Emerging Country

  • PHAN, Anh;LU, Chi Huu;HOANG, Lam Xuan;NGUYEN, Phuong Minh
    • 유통과학연구
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    • 제20권6호
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    • pp.43-56
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    • 2022
  • Purpose: This study aims to investigate the impact of investing into technology development on banking performance in an emerging country. Research design, data and methodology: Based on the data of 12 commercial banks listed in Vietnam from 2011 to 2019 and performing multivariable regression analyses as well as conducting a variety of robustness tests, we carry out the empirical investigation to discover this impact. Results: Our empirical evidence shows that these spending help to improve significantly performance of banks. Particularly, the technology expenditures have positive effect on the net interest margin and the non-interest income in which the level of influence on the latter is relatively remarkable in comparison with the former. At the same time, the result does not support the view that increasingly spending on technology may lead banks to face the risk of instability. Conclusions: Overall, our empirical analysis indicates that increasing investment into distribution information and communication technologies will help to enhance business strategies of banks and thus we advocate the bright side of technology development and digitalization in banking sector. We believe that the research is useful for both managers, regulators and policy makers in Vietnam as well as in countries having similar financial structure.

Artificial neural network reconstructs core power distribution

  • Li, Wenhuai;Ding, Peng;Xia, Wenqing;Chen, Shu;Yu, Fengwan;Duan, Chengjie;Cui, Dawei;Chen, Chen
    • Nuclear Engineering and Technology
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    • 제54권2호
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    • pp.617-626
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    • 2022
  • To effectively monitor the variety of distributions of neutron flux, fuel power or temperatures in the reactor core, usually the ex-core and in-core neutron detectors are employed. The thermocouples for temperature measurement are installed in the coolant inlet or outlet of the respective fuel assemblies. It is necessary to reconstruct the measurement information of the whole reactor position. However, the reading of different types of detector in the core reflects different aspects of the 3D power distribution. The feasibility of reconstruction the core three-dimension power distribution by using different combinations of in-core, ex-core and thermocouples detectors is analyzed in this paper to synthesize the useful information of various detectors. A comparison of multilayer perceptron (MLP) network and radial basis function (RBF) network is performed. RBF results are more extreme precision but also more sensitivity to detector failure and uncertainty, compare to MLP networks. This is because that localized neural network could offer conservative regression in RBF. Adding random disturbance in training dataset is helpful to reduce the influence of detector failure and uncertainty. Some convolution neural networks seem to be helpful to get more accurate results by use more spatial layout information, though relative researches are still under way.