• Title/Summary/Keyword: information systems scales

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A Study of Business Information Management of Ethical Analysis (기업정보관리의 윤리적 분석에 관한 연구)

  • Jang Ik-Seon
    • Management & Information Systems Review
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    • v.1
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    • pp.167-191
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    • 1997
  • 1. Today mass communication informs us of the unethical behaviors of business almost everyday and the social interest about them including individuals implicated in loss and gain grows larger. It is the real aspect that business manager and scholars do not cope with the situation. 2. Five business ethical scales as justice theory, relativism, egoism, utilitarianism, deontological theory and information ethics were applied to this thesis. 3. Hypothesis : There will he a difference in the response on five ethical scales and the recognition degree of information ethics with consumers. 4. The response on five ethical scales with the sex of consumers showed a significant difference but that with the age showed a little difference that with the academic career showed a significant difference in justice theory, relativism, utilitarianism and deontological theory 5. The recognition degree of information ethics with the age and academic career of consumers showed a significant difference and the hypothesis was accepted, but that with the sex showed a little difference.

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Analysis on Ampacity of Overhead Transmission Lines Being Operated

  • Yan, Zhijie;Wang, Yanling;Liang, Likai
    • Journal of Information Processing Systems
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    • v.13 no.5
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    • pp.1358-1371
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    • 2017
  • Dynamic thermal rating (DTR) system is an effective method to improve the capacity of existing overhead line. According to the methodology based on CIGRE (International Council on Large Electric systems) standard, ampacity values under steady-state heating balance can be calculated from ambient environmental conditions. In this study, simulation analysis of relations between parameters and ampacity is described as functional dependence, which can provide an effective basis for the design and research of overhead transmission lines. The simulation of ampacity variation in different rating scales is described in this paper, which are determined from real-time meteorological data and conductor state parameters. To test the performance of DTR in different rating scales, capacity improvement and risk level are presented. And the experimental results show that the capacity of transmission line by using DTR has significant improvement, with low probability of risk. The information of this study has an important reference value to the operation management of power grid.

A Theoretical Study on the Measurement of User Information Satisfaction on the Information System (정보시스템 이용자의 정보만족도 측정에 관한 이론적 고찰)

  • Ahn, Sang-Keun;Choi, Min-Ho;Kim, Sung-Soo
    • Journal of Agricultural Extension & Community Development
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    • v.4 no.1
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    • pp.201-209
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    • 1997
  • The objective of this study were 1) to review concepts of user information satisfaction (UIS), 2) to analyze tools for measuring user information satisfaction, 3) to identify factors affecting information satisfaction. The study was carried out by the analysis of literatures related to information system. The construct of UIS has been operationalized in many different ways. Several studies employed single-item rating scales; such scales have been criticized as unreliable. Single-item scales also provide little information as to what the user finds dissatisfying(satisfying) and are thus of limited utility outside a research setting. Multiple-item UIS measures have become increasingly common. Generally, they are of two types. The first focuses on the information system product. With such diverse names as "system acceptance", "output quality", and "appreciation", these scales focus on the content of the information system and the manner in which the information is presented. The second type of multiple-item scale includes the organizational support for developing and maintaining the system as well as the system product itself. This type of instrument contains items concerned with training, documentation, development procedures, systems maintenance, etc., as well as items related to system content. Thus it provides an indicator of the overall quality of information services provided by an information service function. Generally, UIS measures have not been carefully validated. Recently, however, several rigorous attempts have been made to develop valid and reliable UIS measure.

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Multi-scale Local Difference Directional Number Pattern for Group-housed Pigs Recognition

  • Huang, Weijia;Zhu, Weixing;Zhang, Zhengyan;Guo, Yizheng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.9
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    • pp.3186-3203
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    • 2021
  • In this paper, a multi-scale local difference directional number (MLDDN) pattern is proposed for pig identification. Firstly, the color images of individual pig are converted into grey images by the most significant bits (MSB) quantization, which makes the grey values have better discrimination. Then, Gabor amplitude and phase responses on different scales are obtained by convoluting the grey images with Gabor masks. Next, by calculating the main difference of local edge directions instead of traditionally edge information, the directional numbers of Gabor amplitude and phase responses are encoded. Finally, the block histograms of the encoded images are concatenated on each scale, and the maximum pooling is adopted on different scales to avoid the high feature dimension. Experimental results on two pigsties show that MLDDN impressively outperforms the other widely used local descriptors.

A Study on Service Quality Determinants of Store Available for Credit Card (신용카드사의 가맹점 서비스품질 결정요인에 관한 탐색적 연구)

  • Kim Dong-Gyoon
    • Management & Information Systems Review
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    • v.2
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    • pp.295-310
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    • 1998
  • This exploratory study examines critical quality factors of store that can give access to credit card. The procedures of developing instrument is followed by recommendations on the developing measures of marketing constructs. The results shows that service quality of store available for credit card is divided four dimensions(personal service, payment-approving service, information-providing service, problem responsiveness service). These dimensions and scales are verified through the assessment of reliability and validity. Finally, the importance of personal service is showed to be different across types of industry.

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ISRI - Information Systems Research Constructs and Indicators: A Web Tool for Information Systems Researchers

  • Varajao, Joao;Trigo, Antonio;Silva, Tiago
    • Journal of Information Science Theory and Practice
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    • v.9 no.1
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    • pp.54-67
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    • 2021
  • This paper presents the ISRI (Information Systems Research Indicators) Web tool, publicly and freely available at isri.sciencesphere.org. Targeting Information Systems (IS) researchers, it compiles and organizes IS adoption and use theories/models, constructs, and indicators (measuring variables) available in the scientific literature. Aiming to support the IS theory development process, the purpose of ISRI is to gather and systematize information on research indicators to help researchers and practitioners' work. The tool currently covers eleven theories/models: DeLone and McLean's IS Success Model (D&M ISS); Diffusion of Innovations Theory (DOI); Motivational Model (MM); Social Cognitive Theory (SCT); Task-Technology Fit (TTF); Technology Acceptance Model (TAM); Technology-Organization-Environment Framework (TOE); Theory of Planned Behavior (TPB); Decomposed Theory of Planned Behavior (DTPB); Theory of Reasoned Action (TRA); and Unified Theory of Acceptance and Use of Technology (UTAUT). It also includes currently over 400 constructs, nearly 2,500 indicators, and about 60 application contexts related to the models. For the creation of the tool's database, nearly 580 references were used.

Multi-scale Diffusion-based Salient Object Detection with Background and Objectness Seeds

  • Yang, Sai;Liu, Fan;Chen, Juan;Xiao, Dibo;Zhu, Hairong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.10
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    • pp.4976-4994
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    • 2018
  • The diffusion-based salient object detection methods have shown excellent detection results and more efficient computation in recent years. However, the current diffusion-based salient object detection methods still have disadvantage of detecting the object appearing at the image boundaries and different scales. To address the above mentioned issues, this paper proposes a multi-scale diffusion-based salient object detection algorithm with background and objectness seeds. In specific, the image is firstly over-segmented at several scales. Secondly, the background and objectness saliency of each superpixel is then calculated and fused in each scale. Thirdly, manifold ranking method is chosen to propagate the Bayessian fusion of background and objectness saliency to the whole image. Finally, the pixel-level saliency map is constructed by weighted summation of saliency values under different scales. We evaluate our salient object detection algorithm with other 24 state-of-the-art methods on four public benchmark datasets, i.e., ASD, SED1, SED2 and SOD. The results show that the proposed method performs favorably against 24 state-of-the-art salient object detection approaches in term of popular measures of PR curve and F-measure. And the visual comparison results also show that our method highlights the salient objects more effectively.

A Study on the quality estimate function of the program module (프로그램 모듈의 품질평가 함수 산출에 관한 연구)

  • Kim, Hye-Kyoung;Choi, Wan-Kyoo;Lee, Sung-Joo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.12 no.1
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    • pp.67-72
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    • 2002
  • In order to offer a service of highly qualified information, software of good quality should be designed and developed. We need the united estimation method because the existing approaches for the quality measurements measure the attributes at the different viewpoint individually. Therefor, this paper Propose the model that handles many methods of measurements. Our model selects the ratio scales and calculates the relative significance of them by using the rough logic. As a next step, the proposed method integrates the significance of scales and the measured value of them based upon the fuzzy integral. Finally, the correlations are analyzed between the existing scales with our measurements and our model is validated through statistical technique.

The Determinants of Management Information Systems Effectiveness in Small- and Medium-Sized Enterprises

  • LE, Quang Bon;NGUYEN, Minh Dat;BUI, Van Can;DANG, Thi Mai Huong
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.8
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    • pp.567-576
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    • 2020
  • This study develops a mediating model to explore the relationships between organizational characteristics, manager's knowledge, management commitment, user involvement, information quality, and management information system effectiveness in small- and medium-sized enterprises in Vietnam. Adapting scales from previous research, the authors designed questionnaires, which they distributed to respondents in Vietnamese small- and medium-sized enterprises. Also, by employing a meta-analytic path analysis throughout structural equation modelling (SEM) with sample of 356 respondents, authors indicate that organizational characteristics are directly related to management information systems effectiveness. Moreover, manager's knowledge, user involvement, and information quality show their important roles in the increase of management information system effectiveness, yet management commitment does not indicate a similar role in the growth of management information system effectiveness. Bootstrapping is utilized to discover the meditating role of information quality, illustrating that quality information mediates the linkages between user involvement, organizational characteristics, and management information systems. However, the mediating role of information quality in the relationship between management commitment, manager's knowledge, and management information systems is not significant. This study contributes to the management information system literature as well as to enhance MIS effects in small and medium-sized enterprises.

Artificial Intelligence-Based Breast Nodule Segmentation Using Multi-Scale Images and Convolutional Network

  • Quoc Tuan Hoang;Xuan Hien Pham;Anh Vu Le;Trung Thanh Bui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.3
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    • pp.678-700
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    • 2023
  • Diagnosing breast diseases using ultrasound (US) images remains challenging because it is time-consuming and requires expert radiologist knowledge. As a result, the diagnostic performance is significantly biased. To assist radiologists in this process, computer-aided diagnosis (CAD) systems have been developed and used in practice. This type of system is used not only to assist radiologists in examining breast ultrasound images (BUS) but also to ensure the effectiveness of the diagnostic process. In this study, we propose a new approach for breast lesion localization and segmentation using a multi-scale pyramid of the ultrasound image of a breast organ and a convolutional semantic segmentation network. Unlike previous studies that used only a deep detection/segmentation neural network on a single breast ultrasound image, we propose to use multiple images generated from an input image at different scales for the localization and segmentation process. By combining the localization/segmentation results obtained from the input image at different scales, the system performance was enhanced compared with that of the previous studies. The experimental results with two public datasets confirmed the effectiveness of the proposed approach by producing superior localization/segmentation results compared with those obtained in previous studies.