• Title/Summary/Keyword: Sensitivity of Information

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Testing the Mediating Role of Perceived Risk of COVID-19 and the Moderating Role of Age in the Relationship between COVID-19 related Information Sensitivity and Personal Preventive Behaviors

  • Hong, Kyung-Wan;Kim, Hyeon-Cheol
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.2
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    • pp.1-9
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    • 2022
  • The influence of information sensitivity during the COVID-19 pandemic on perceived risk and personal preventive behaviors of consumers in China had been investigated. The participants were Chinese individuals experiencing the pandemic as it happened. Participants voluntarily completed an online questionnaire to provide their COVID-19 information sensitivity, their perceived COVID-19 risk, preventive behavior and their respective age. Our study discovered that COVID-19 information sensitivity positively influence perceived risk and preventive behavior. Moreover, young individuals show higher levels of online information sensitivity, which influenced their personal protective behavior when compared to that of middle-aged and elderly participants. Furthermore, Perceived risk significantly affected preventive behaviors. The results of this study may assist the government and marketeers in comprehending information sensitivity which can affect consumers' protective behavior toward reducing COVID-19 infections.

A Design Methodology and Software Development with Sensitivity Information (민감도 정보를 이용한 설계 방법 및 소프트웨어의 개발)

  • 김용일;이정욱;윤준용;박경진
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.27 no.12
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    • pp.2092-2100
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    • 2003
  • Sensitivity information has been used for linearization of nonlinear functions in optimization. Basically, sensitivity is a derivative of a function with respect to a design variable. Design sensitivity is repeatedly calculated in optimization. Since sensitivity calculation is extremely expensive, there are studies to directly use the sensitivity in the design process. When a small design change is required, an engineer makes design changes by considering the sensitivity information. Generally, the current process is performed one-by-one for design variables. Methods to exploit the sensitivity information are developed. When a designer wants to change multiple variables with some relationship, the directional derivative can be utilized. In this case, the first derivative can be calculated. Only small design changes can be made from the first derivatives. Orthogonal arrays can be used for moderate changes of multiple variables. Analysis of Variance is carried out to find out the regional influence of variables. A flow is developed for efficient use of the methods. A software system with the flow has been developed. The system can be easily interfaced with existing commercial systems through a file wrapping technique. The sensitivity information is calculated by finite difference method. Various examples are solved to evaluate the proposed algorithm and the software system.

A Design Using Sensitivity Information (민감도 정보를 이용한 설계 방법)

  • Kim, Y.I.;Yi, J.W.;Park, G.J.
    • Proceedings of the KSME Conference
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    • 2003.04a
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    • pp.1248-1253
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    • 2003
  • Sensitivity information has been used for linearization of nonlinear functions in optimization. Basically, sensitivity is a derivative of a function with respect to a design variable. Design sensitivity is repeatedly calculated in optimization. Since sensitivity calculation is extremely expensive, there are studies to directly use the sensitivity in the design process. When a small design change is required, an engineer makes design changes by considering the sensitivity information. Generally, the current process is performed one-by-one for design variables. Methods to exploit the sensitivity information are developed. When a designer wants to change multiple variables with some relationship, the directional derivative can be utilized. In this case, the first derivative can be calculated. Only small design changes can be made from the first derivatives. Orthogonal arrays can be used for moderate changes of multiple variables. Analysis of Variance is carried out to find out the regional influence of variables. A flow is developed for efficient use of the methods. The sensitivity information is calculated by finite difference method. Various examples are solved to evaluate the proposed algorithm.

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The Influence of Social Face Sensitivity on Vanity and Consumption Behavior (체면민감성이 허영심과 소비행동에 미치는 영향)

  • Park, Eun Hee
    • Human Ecology Research
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    • v.51 no.4
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    • pp.413-424
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    • 2013
  • The purpose of this study is to examine the influence of social face sensitivity on vanity and consumption behavior. Questionnaires were administered to 461 college students living in Deagu Metropolitan City and Kyungbook province. Frequency, factor analysis, reliability analysis, regression analysis, and t-test were used for data analysis. Social face sensitivity was categorized into consciousness of being embarrassed, social formality, other consciousness and prestigiousness. Vanity factors were found as physical price, achievement concern, achievement price, and physical concern. Consumption behavior were categorized into 5 factors such as ostentatious consumption, impulsive buying, external information search, brand trust, utilization of internet information and material-oriented. Consciousness of being embarrassed, social formality, and other consciousness, the sub-variables of social face sensitivity had significant effects on achievement concerns and physical concerns. Other consciousness of social face sensitivity had significant effects on all factors of consumption behaviors. There was significant differences in the prestige of social face sensitivity and physical concerns of vanity and ostentatious consumption, impulsive buying, and also in external information search and utilization of internet information of consumer behavior. This indicates that women showed high physical concerns for vanity and ostentatious consumption, impulsive buying, external information search and utilization of internet information of consumption behavior while men care more about prestigiousness of social face sensitivity.

A Study on Sensitivity Analysis by Fuzzy Inference Rules Using Color and Location Information

  • Kim, Kwang-Baek;Woo, Young-Woon
    • Journal of information and communication convergence engineering
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    • v.7 no.3
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    • pp.268-274
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    • 2009
  • Human beings can represent state of mind such as psychological state, personality or emotional trouble by the pictures painted on one's own initiative. But in general, it is hard to understand a consulter's unconscious state through one's objective and intentional descriptions only. So one's psychological state and emotional trouble can be understood and cured by color and location information of objects drawn in one's picture. By this reason, a consultant can help and settle a consulter's growth stages of life and emotional trouble through treatment by pictures. In this paper, we proposed a method to find out state of sensitivity by analysis of color and location information represented in a picture and fuzzy inference rules. We applied the proposed method to the states of sensitivity from color information proposed by Alschuler and Hattwick and the psychological states from location information proposed by Grunwald. In the experimental results by the two applications, we verified the proposed sensitivity analysis method is efficient.

The Development of a System for Product Search Using a Sensibility and Configuration Database on Designing Men's Jackets (신사복 재킷디자인의 감성 및 형상 데이터베이스를 이용한 제품검색 시스템 개발에 관한 연구)

  • Park, Yun-A
    • Journal of the Korean Home Economics Association
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    • v.44 no.4 s.218
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    • pp.133-144
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    • 2006
  • The contemporary period is called "the age of sensibility" in which each individual consumer seeks to have her or his own products. Businesses are in need of design developments with an emphasis on customer sensitivity, and at the same time consumers must understand their own sensitivity to acquire information on designs that suit them. This research established a sensitivity and configuration database on designing men's jackets using the sensitivity engineering approach to clothing design information. The user interface was created on the Internet. Sixty-seven sensitivity terms of vocabulary appropriate for the assessment of men's jacket design were selected, and the different designs were classified into six items and 24 categories. Thirty men's jackets with different designs were produced for sensory testing and the results were analyzed in accordance with general linear I statistics. A sensitivity database was established for each category. My-sql, PHP, Java Script, and Html were used for the configuration database work. The configuration of items/categories, with the most appropriate sensitivity database information assigned to the selected sensitivity vocabulary, was programmed for display on the computer screen. The sensitivity vocabulary of a customer's choice for each factor was selected for the program to run, while the category and product configuration of the men's jacket most suitable for the search was displayed based on the user interface.

Power Failure Sensitivity Analysis via Grouped L1/2 Sparsity Constrained Logistic Regression

  • Li, Baoshu;Zhou, Xin;Dong, Ping
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.8
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    • pp.3086-3101
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    • 2021
  • To supply precise marketing and differentiated service for the electric power service department, it is very important to predict the customers with high sensitivity of electric power failure. To solve this problem, we propose a novel grouped 𝑙1/2 sparsity constrained logistic regression method for sensitivity assessment of electric power failure. Different from the 𝑙1 norm and k-support norm, the proposed grouped 𝑙1/2 sparsity constrained logistic regression method simultaneously imposes the inter-class information and tighter approximation to the nonconvex 𝑙0 sparsity to exploit multiple correlated attributions for prediction. Firstly, the attributes or factors for predicting the customer sensitivity of power failure are selected from customer sheets, such as customer information, electric consuming information, electrical bill, 95598 work sheet, power failure events, etc. Secondly, all these samples with attributes are clustered into several categories, and samples in the same category are assumed to be sharing similar properties. Then, 𝑙1/2 norm constrained logistic regression model is built to predict the customer's sensitivity of power failure. Alternating direction of multipliers (ADMM) algorithm is finally employed to solve the problem by splitting it into several sub-problems effectively. Experimental results on power electrical dataset with about one million customer data from a province validate that the proposed method has a good prediction accuracy.

Building of GIS Program for Controlling Oil Spill Accident (해양 유출유 사고 방제 지원 GIS 프로그램 개발)

  • Kim, Hye-Jin;Lee, Han-Jin;Lee, Moon-Jin
    • Journal of the Korean Association of Geographic Information Studies
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    • v.9 no.3
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    • pp.58-66
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    • 2006
  • Environmental Sensitivity Index Map(ESI Map) is useful information for efficient and prompt contolling of oil spill accident. Environmental sensitivity information relating to oil spill is very various, so efficient access and utilization for environmental sensitivity information at control field is required. In order to improve the efficiency of controlling accident at the field, it is necessary to building digital ESI Map and GIS program. In this study, GIS database was built to utilize environmental sensitivity information at Yeosu and Gyunggi bay. And the ESI Map program which is focused on the control job was developed. IMO/IPIECA's guide to make the ESI Map and Korea Coast Guard's guide to collect information for the control information map were referenced to capture environmental sensitivity data and build GIS database. The symbology of environmental sensitivity layers was defined and functions for supporting control job were implemented in ESI Map program. For the future works, the program in this study could be applied to ESI Map program for the whole coastal area of Korea and it could be the essential element technology in marine pollution control supporting system.

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Price Sensitivity, Repurchasing and Switching Intention of Internet Fashion Consumers (인터넷 패션 소비자의 가격민감도와 재구매 및 전환의도에 관한 연구)

  • Lee, Eun-Jin
    • Journal of the Korean Society of Clothing and Textiles
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    • v.39 no.1
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    • pp.106-120
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    • 2015
  • This study analyzed the effects of website and consumer's characteristics on price sensitivity as well as the effects of price sensitivity on repurchasing and switching intention. It ascertains differences in: website and consumer's characteristics, price sensitivity, and repurchasing and switching intention according to type of internet shopping mall. A survey was conducted from July 10 to August 20 in 2013, and 492 responses were used for data analysis. As a result, the reputation, ease of price search, and depth of product information positively influenced the price search and the interactivity of website characteristics positively influenced price importance. Product knowledge and information search of fashion consumers positively influenced price sensitivity. Also, the price sensitivity of internet fashion consumer positively influenced repurchasing intention. The price search positively affected the switching intention, while the price importance negatively affected the switching intention. Last, there were significant differences in the reputation, ease of price search, information search, price sensitivity, repurchasing and switching intention according to type of internet shopping mall.

A Study on the Factors for Violation of Information Security Policy in Financial Companies : Moderating Effects of Perceived Customer Information Sensitivity (금융회사 정보보안정책의 위반에 영향을 주는 요인 연구 : 지각된 고객정보 민감도에 따른 조절효과)

  • Lee, Jeong-Ha;Lee, Sang-Yong Tom
    • Journal of Information Technology Applications and Management
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    • v.22 no.4
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    • pp.225-251
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    • 2015
  • This paper analyzed factors for employees to violate information security policy in financial companies based on the theory of reasoned action (TRA), general deterrence theory (GDT), and information security awareness and moderating effects of perceived sensitivity of customer information. Using the 376 samples that were collected through both online and offline surveys, statistical tests were performed. We found that the perceived severity of sanction and information security policy support to information policy violation attitude and subjective norm but the perceived certainty of sanction and general information security awareness support to only subjective norm. Also, the moderating effects of perceived sensitivity of customer information against information policy violation attitude and subjective norm were supported. Academic implications of this study are expected to be the basis for future research on information security policy violations of financial companies; Employees' perceived sanctions and information security policy awareness have an impact on the subjective norm significantly. Practical implications are that it can provide a guide to establish information security management strategies for information security compliance; when implementing information security awareness training for employees to deter violations by emphasizing the sensitivity of customer information, a company should make their employees recognize that the customer information is very sensitive data.