• Title/Summary/Keyword: Information based Industry

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Firm's Economic Efficiency and Critical Weather Information in Distribution Industry by Climate Change (기후변화에 따른 유통산업의 핵심 기상요인과 기업의 경제적 효율성)

  • Lee, Joong-Woo;Ko, Kwang-Kun;Jeon, Jin-Hwan
    • Journal of Environmental Science International
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    • v.19 no.6
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    • pp.787-797
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    • 2010
  • Nowadays meteorological information is systemized as a useful knowledge which has a significant effect on the overall industrial domains over the simple data. The distribution industry, which has the short life cycle, depends on the meteorological information at the strategic level. However, it is necessary to pay attention to the continuous investment in meteorological information because there is a hostility to paying for a service, particularly it does not provide accurate and reliable information. Therefore, the purpose of this study is to increase the usefulness of meteorological information in the distribution industry for its economic effectiveness from the core meteorological factors. We found significant meteorological factors (temperature, precipitation, disaster) that have a critical influence on the distribution industry through the hierarchical analysis process, and their importance according to the type of distribution channels, such as department store, large-scale discount store, convenience store, and home shopping. We performed the AHP analysis with 103 survey samples by middle managers from the various distribution channels. We found that precipitation is the critical meteorological factor across the distribution industry. Based on this result, we stress the difference in the level of the meteorological information in order for the effectiveness of each type of distribution channels.

Analysis of Privacy Vulnerability Caused by Location-Based Service (위치기반 서비스에 따른 개인정보보안 취약점의 사례분석)

  • Choi, Hee Sik;Cho, Yang Hyun;Kim, Jung Sook
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.10 no.3
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    • pp.151-159
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    • 2014
  • Recently, spread of large amount Smartphones made users to download location-based service applications, which provided by application developers. These location-based service applications are convenient tool for users. Location-based service use technology to find location of user and provide information of user's location. Leakage of information of user's location and expose of privacy life raised new controversy. In this thesis, it will analyze relations of increase of Smartphone market, usage of Location-based service and severity of personal information leakage. Also, it will analyze examples of user's case of damage which caused by leakage personal information and find solutions to reduce damage of personal information leakage. In research, it will find cases of damage that cause by Location-based service. Also it will analyze and research cases of damage and present with graph and chart. In conclusion, to reduce and prevent from damage which caused by leakage personal information, it is important that users and application developers to realize danger of private and personal information leakage. Also, user's personal information must deal with cautiously and application developers have to research and develop the application with powerful security.

The Effects of the Electronic Health Record System on Work Overload and Stress Moderation of Hospital Employees

  • Choi, Young-Jin;Noh, Jin-Won;Boo, Yoo-Kyung
    • The Journal of Industrial Distribution & Business
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    • v.9 no.9
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    • pp.35-44
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    • 2018
  • Purpose - In endless competition, companies pursue cost reduction and work efficiency. So, entrepreneurs try to increase job intensity, which may lead to job stress and high turnovers because of job burnout. But, Information systems are acknowledged as a work support tool that secures work convenience and the productivity of employees. In this study, we aimed to confirm the effects of information systems in reduing the work overload of employees in a human resource intensive industry. Research design, data and methodology - This is based on the job demands-resources model, conducting an empirical analysis of surveys given to hospital employees working in a human resource intensive industry. Results - The research revealed that information systems reduced the work overload of employees in a human resource intensive industry. Conclusion - This study confirmed the effects of information systems as a job resource based on JD-R theory, and presentation of empirical results indicated that information systems alleviate employee job overload and increases job satisfaction in the medical services industry. In the medical services industry, using electronic health record system decreases in work overload, which results in employees gaining time for self-development and time management, reducing job stress, and leading to job satisfaction.

A Study on the Developing Strategies of Knowledge based Industry in ChunChon Area for the Digital Age. (디지털시대 춘천지역 지식기반산업의 발전방안에 관한 연구)

  • Kim, Chi-Ho;La, Kong-Woo;Min, Tae-Hong
    • International Commerce and Information Review
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    • v.8 no.3
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    • pp.3-21
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    • 2006
  • This study aims to explore the developing strategies of knowledge based industry in ChunChon Area. This study suggests several strategies for promoting local development in Chunchon Area as follows ; first, building of local innovation system in chunchon area and convergence and diffusion of knowledge based industries. second, making of industrial environment suitable to developing knowledge based industries. third, the establishment of overall industrial supporting systems. fourth, expansion of industrial infra and prevention of the brain drain. fifth, transformation of industrial complex into innovation clusters. The result of this study will be useful for the chief executives officers to make more rational decision making for industrial developing strategies is related to the Knowledge based Industries. The paper also strives to provoke debate in this area with to encouraging further research on the topic.

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Information Security and Organizational Performance: Empirical Study of Korean Securities Industry

  • Kong, Heekyung;Jung, Suhyun;Lee, Insung;Yeon, Seung-Jun
    • ETRI Journal
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    • v.37 no.2
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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.

Fiber-Based Papermaking Additives AKD modified micronized cellulose

  • Ozersky, Alexander
    • Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
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    • 2007.05a
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    • pp.19-32
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    • 2007
  • A new generation of fiber-based papermaking chemicals were presented for the first time at the PTS Pulp Technology Symposium 2005, and then several articles were published in various magazine in Asia ("Paper Asia"), the US ("Pulp & Paper"), and Europe ("Wochenblatt fuel Papierfabrikation"). The information generated quite an interest in the paper industry. Extensive studies of these papermaking additives have been made recently, new information obtained, and the compounds have gained more recognition in the industry. The company J. Rettenmaier und Soehne developed of a group of fiber-based papermaking additives. They includ combination of fibers with sizing agents, starch, fluorochemicals, minerals, biocides and some others. This article presents in-depth study of the AKD modified micronized cellulose as an example of the fiber-based papermaking chemicals cocept. The material of the present paper is based mostly on the results of the pilot paper machine study at the Paper Research Institute PTS (Heidenau, Germany), and includes case studies from the mills, which used $ARBOCELPLUS^{(R)}-AKD$ compounds. It should be noted that the $ARBOCELPLUS^{(R)}$ compounds were not designed to replace traditional additives in paper industry. They should rather be used in those areas, where application of "normal" chemicals is especially problematic.

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SERVICE QUALITY EVALUATION INDICATORS FOR ASP-BASED PROJECT MANAGEMENT INFORMATION SYSTEM

  • Lee, Seul-Ki;Yu, Jung-Ho;Kim, Chang-Duk
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.1453-1462
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    • 2009
  • It is very important for performance of information system that we make an effort to raise user's satisfaction by continuously grasping user's requirement by evaluation of PMIS based on ASP service quality and reflecting this to information system. However, It is lack that developments of suitable evaluation index of PMIS based on ASP service quality. Hereupon, In this study, we propose the evaluation indicators. First, The evaluation area is classified by form the foundation of D & M IS Success Model (2003); system quality, information quality, service quality. Second, The detail evaluation item which include considerations which are gotten through investigation of the construction industry and PMIS based on ASP is grouping by form the foundation SERVQUAL which is a service quality evaluation tool proposed PZB(1988). It is suitable to evaluate PMIS based on ASP service quality in construction industry and able to evaluate various aspects.

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Utilization of Forecasting Accounting Earnings Using Artificial Neural Networks and Case-based Reasoning: Case Study on Manufacturing and Banking Industry (인공신경망과 사례기반추론을 이용한 기업회계이익의 예측효용성 분석 : 제조업과 은행업을 중심으로)

  • Choe, Yongseok;Han, Ingoo;Shin, Taeksoo
    • Journal of the Korean Operations Research and Management Science Society
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    • v.28 no.3
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    • pp.81-101
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    • 2003
  • The financial statements purpose to provide useful information to decision-making process of business managers. The value-relevant information, however, embedded in the financial statement has been often overlooked in Korea. In fact, the financial statements in Korea have been utilized for nothing but account reports to Security Supervision Boards (SSB). The objective of this study is to develop earnings forecasting models through financial statement analysis using artificial intelligence (AI). AI methods are employed in forecasting earnings: artificial neural networks (ANN) for manufacturing industry and case~based reasoning (CBR) for banking industry. The experimental results using such AI methods are as follows. Using ANN for manufacturing industry records 63.2% of hit ratio for out-of-sample, which outperforms the logistic regression by around 4%. The experiment through CBR for banking industry shows 65.0% of hit ratio that beats the statistical method by 13.2% in holdout sample. Finally, the prediction results for manufacturing industry are validated through monitoring the shift in cumulative returns of portfolios based on the earning prediction. The portfolio with the firms whose earnings are predicted to increase is designated as best portfolio and the portfolio with the earnings-decreasing firms as worst portfolio. The difference between two portfolios is about 3% of cumulative abnormal return on average. Consequently, this result showed that the financial statements in Korea contain the value-relevant information that is not reflected in stock prices.

Road Damage Detection and Classification based on Multi-level Feature Pyramids

  • Yin, Junru;Qu, Jiantao;Huang, Wei;Chen, Qiqiang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.2
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    • pp.786-799
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    • 2021
  • Road damage detection is important for road maintenance. With the development of deep learning, more and more road damage detection methods have been proposed, such as Fast R-CNN, Faster R-CNN, Mask R-CNN and RetinaNet. However, because shallow and deep layers cannot be extracted at the same time, the existing methods do not perform well in detecting objects with fewer samples. In addition, these methods cannot obtain a highly accurate detecting bounding box. This paper presents a Multi-level Feature Pyramids method based on M2det. Because the feature layer has multi-scale and multi-level architecture, the feature layer containing more information and obvious features can be extracted. Moreover, an attention mechanism is used to improve the accuracy of local boundary boxes in the dataset. Experimental results show that the proposed method is better than the current state-of-the-art methods.

Technology-based Procurement Innovation in SME F&B Service : An Evolutionary Case Study

  • Cho, Nam-Jae;Gu, Yeon-Kyoung
    • Journal of Information Technology Applications and Management
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    • v.17 no.3
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    • pp.25-41
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    • 2010
  • F&B(food and beverage) in accommodation industry is a key service that determine the satisfaction of customers in tourism industry. As the importance of the management of quality gets increasingly highlighted in service industry, the innovation in the management of service quality and satisfaction in tourism industry is gaining high attention. In this research, we focused on the improvement and innovation of the management of procurement process for F&B service based on the smart use of information technology. A case and scenario analysis of the improvements in the management of procurement process is performed focusing on a medium-size accommodation business. Future opportunities and potential of further IT-based innovation is discussed.

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