• Title/Summary/Keyword: Partial Least-Squares

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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.

Estimation of product compositions for multicomponent distillation columns

  • Shin, Joonho;Lee, Moonyong;Park, Sunwon
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10a
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    • pp.295-298
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    • 1996
  • In distillation column control, secondary measurements such as temperatures and flows are widely used in order to infer product composition. This paper addresses the design of static estimators using the secondary measurements for estimating the product compositions of the multicomponent distillation columns. Based on the unified framework for the estimator problems, the relationships among several typical static estimators are discussed including the effect of the measured inputs. Design guidelines for the composition estimator using PLS regression are also presented. The estimator based on the guidelines is robust to sensor noise and has a good predictive power.

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Robust nonlinear PLS based on neural networks (신경회로망에 근거한 강건한 비선형 PLS)

  • Yoo, Jun;Hong, Sun-Joo;Han, Jong-Hun;Jang, Geun-Soo
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.1553-1556
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    • 1997
  • In the paper, we porpose a new mehtod of extending PLS(Partial Least Squares) regressiion method to nonlinear framework and apply it to the estimation of product compositions in high-purity distillation column. There have veen similar efforets to overcome drawbacks of PLS by using nonlinear-mapping ability of meural networks, however, they failed to show great improvement over PLS since they focused only in capturing nonlinear functional relationship between input data, not on nonlinear correlation inthe data set. By incorporating the structure of Robust Auto Associative Networks(RAAN) into that of previous nonlinear PLS, we can handle nonlinear correlation as well as nonlinear functional relationship. The application result shows that the proposed method performs better than previous ones even for nonlinearities caused by changing operating conditions, limited observations, and existence of meas-unrement noises.

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MODELING AND OPTIMIZATION OF THE AIR- AND GAS-SUPPLYING NETWORK OF A CHEMICAL PLANT

  • Han, In-Su;Han, Chong-Hun;Chung, Chang-Bock
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.377-382
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    • 2004
  • This paper presents a novel optimization method for the air- and gas-supplying network comprised of several air compression systems and air and gas streams in an industrial chemical plant. The optimization is based on the hybrid model developed by Han and $Han^1$ for predicting the power consumption of a compression system. A constrained optimization problem was formulated to minimize the total electric power consumption of all the compression systems in the air- and gas-supplying network under various operating constraints and was solved using a successive quadratic optimization algorithm. The optimization approach was applied to an industrial terephthalic acid manufacturing plant to achieve about 10% reduction in the total electric power consumption under varying ambient conditions.

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Understanding User Continuance of Stock Investment Information in an Online Trading Environment (온라인 거래 환경에서 주식 투자 정보의 지속 사용에 대한 이해)

  • Kim, Hye Min;Chung, Sunghun;Han, Ingoo;Kim, Byoungsoo
    • Knowledge Management Research
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    • v.12 no.4
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    • pp.41-54
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    • 2011
  • Given the prevalence of home trading systems, it has become important to examine user behaviors in a stock investment environment. In this vein, this paper developed an integrated model to deeply understand the key determinants of user's continuance intention to use investment information through constructs prescribed by incorporating trust and perceived risk into expectation-confirmation model. The proposed research model was tested by using survey data collected from 160 users who have experience with stock investment. PLS (partial least squares) was employed for the analysis of the data. The findings of this study showed that the proposed framework provides a statistically significant explanation of the variation in continuance intention to search investment information. The findings revealed that trust and perceived risk are more prevalent predictors of continuance intention to use investment information compared to perceived usefulness. It was also found that user satisfaction serves as the salient antecedents of continuance intention to use investment information. The theoretical and practical implications of the findings were described.

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A Study of Effect of SNS News Consumption on Social Engagement and Government Transparency in Cambodia

  • Chhaya, PhalPheaktra;Cho, Wan-Sup;Kwon, Sun-Dong
    • Journal of Information Technology Applications and Management
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    • v.22 no.3
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    • pp.19-33
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    • 2015
  • SNS is perceived as an effective tool for sharing news and enabling news content to reach many more users than before. And some users think that SNS is an important source to get news. This study's purpose is to understand the key factors contributing to behavior of news consumption on social network sites in Cambodia and its influence. We identified three key factors including convenience, recency, and variety; however, recency showed less significant effect on news consumption on SNS. Besides the key factors, it also seeks to understand the impact of news consumption on social engagement and government's transparency in Cambodia. The analytical results achieved through the Partial Least Squares (PLS) approach.

The Effect of Factors on Continuous Use of Video Telephony Service for Mobile Devices (영상통화 서비스의 지속적인 사용 요인에 관한 연구)

  • Yang, Seok-Won;Whang, Jae-Hoon
    • Journal of Information Technology Applications and Management
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    • v.17 no.1
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    • pp.107-125
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    • 2010
  • The purpose of this research is to identify the critical factors influencing on the continuous use of video telephony service for mobile devices. An empirical analysis has been performed by using service quality, brand image, price, fun as influencing factors, and satisfaction and commitment as mediating factors. The partial least squares(PLS) methodology with 228 questionnaires has been conducted. The results indicated that brand image, price, and fun were mediated by satisfaction and commitment to have a statistically significant influence on continuous use of video telephony service. Service quality showed a significant effect on continuous use mediated by satisfaction while it did not show any influence through commitment. Based on the results, companies in the communication service industry should consider and focus on the improved brand image, appropriate fees, and individual preferences for fun for the successful marketing activities, and should also maintain amicable relations with their customers.

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Marketer-Generated Content Sharing Among Social Broadcasting Users: Effects of Intrinsic Motivations, Social Capital and the Moderating Role of Prevention Focus

  • Li, Yuhao;Wang, Kanliang
    • Asia pacific journal of information systems
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    • v.25 no.4
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    • pp.719-745
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    • 2015
  • Social networking services provide individuals with an easy approach for exchanging messages with others based on interpersonal relationships. However, why individuals spread marketer-generated content (MGC) in their online social circles remains unclear. Therefore, we develop a theoretical model to examine how social capital, intrinsic motivations, personal perceptions, past behavior, and personal traits influence MGC sharing behavior of social media users in micro-blogging context. Data collected from 319 social networking users support the proposed model. The results from partial least squares analyses show that enjoyment, perceived control, and outcome expectations are significant indicators of individual's MGC sharing intention in the social broadcasting environment. Results also suggest that social capital, users' intention, and past behavior positively influence the MGC sharing behavior of users. Moreover, individual prevention pride exhibits a significant interaction effect on the relationships between users' MGC sharing and its antecedents. Implications for research and practice are discussed.

Offline Trust, Online Trust, and Perceived Cost: Their Relations and Impacts on the Intention to Use Online Banking

  • Kim, Tae-Woo;Kim, Jae-Young;Lee, Jae-Nam
    • 한국경영정보학회:학술대회논문집
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    • 2007.11a
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    • pp.533-538
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    • 2007
  • Since the Internet has been widespread all over the world, it has been getting more popular. Almost every bank that runs offline business has its own Web site to provide online banking service. In this study, we developed a research model based on the Technology Acceptance Model (TAM). We added the concepts of trust and cost to evaluate our model because trust is a major concept in adopting online service, and cost is one of the main strategies to attract customers to use online banking service. To see the validation of the model, we used partial least squares (PLS). A survey was done to gather data. The result was drawn from the model test, and we discuss it and conclude the study.

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Psychological Factors of Increase in Apple Consumption (사과 소비의 증가에 영향을 미치는 심리적 요인 분석)

  • Huh, Moo-Yul
    • Journal of the Korean Society of Food Culture
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    • v.26 no.1
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    • pp.80-85
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    • 2011
  • This study analyzed consumer attitude, habit strength, subjective norm, a pros evaluation, and intention to consume to estimate perceptible variables that affect apple consumption. Data were collected from 207 men and women through a selfadministrated questionnaire. A partial least squares regression was conducted as one of structural equation models to estimate and test hypotheses. The results showed that attitude, habit strength, and the pros evaluation affected the intention to consume apples, and that the intention increased apple consumption. The results also showed that some marketing strategies are needed to promote apple consumption and to make consumers change their intention, to develop habits for eating apples by changing their diets, and to impress upon them that apples are good for health. This can be interpreted as meaning that it is most important to understand consumer behavior, particularly consumer psychology, which is reflected in the recent trend of marketing that concentrates on meeting the consumer's needs rather than the producer's.