• Asia pacific journal of information systems
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• v.10 no.2
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• pp.177-196
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• 2000

Information Systems Planning(ISP) has gained considerable interest among researchers and practioners in recent years because of the impact of information systems on organization performance. This study aims at analyzing organizational characteristic factors, information system characteristic factors influencing ISP's performance. The organizational characteristic variables are considered organizational strategy, organizational culture, and managerial leadership. And the IS characteristic variables are considered IS resource and IS strategic role. The ISP's performance variables are measured BP-ISP integration effectiveness and ISP efficiency. For data on the 493 sampled company, a mail survey using a questionnaire was conducted in this study. The following results were obtained. First, there was significant relationship between organizational characteristics and ISP's performance. Specially, organizational strategy and organizational culture affect the both of BP-ISP integration effectiveness and ISP efficiency. Second, there was significant relationship between Information Systems characteristics and ISP's performance. Specially, IS resource and IS strategic role affect ISP efficiency.

• Journal of Korean Society for Quality Management
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• v.30 no.3
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• pp.94-110
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• 2002

This research focuses on internet advertisement success factors derived from the relevant researches and clarified the concept of user and information characteristics. The corresponding determinants are suggested such as organizational characteristics, user characteristics, and information characteristics. Success factor of internet advertisement is used by user attitude. We then examine the impact of corresponding determinants on the success factors. Hypotheses on their characteristics were tested for 174 persons. The results indicated that organizational characteristic, user characteristic and information characteristic was partly found as a positive impact on the internet advertisement success while quality of innovation and purchase promotion traits were not significant.

• Fashion & Textile Research Journal
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• v.22 no.3
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• pp.323-334
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• 2020

This study analyzed the effects of consumers' characteristic variables on information search and purchase decisions in a decision-making process that validated the path model in purchasing apparel products. In constructing a structural equation model using AMOS 19.0., the variables including enjoyment pursuit, price pursuit, product involvement and product risk were selected as consumers' characteristic variables affecting the stage of information search. A questionnaire was distributed to consumers over 20 years old who purchased apparel products using offline and online channels within one year; consequently, we were able to analyze 468 effective data. The results were as follows. First, the path model of this research proved to be the appropriate model explaining the effects of consumers' characteristic variables on the stage of purchase decision-making. Second, enjoyment pursuit had a significant positive influence on offline information search; in addition, price pursuit and product risk affected the online information search significantly. Product involvement affected online information search as well as offline information search. Third, the offline information search affected offline purchase and online information search affected online purchase. However, consumer's channel switching behavior between the stage of information search and the stage of purchase decision was not proven. The findings suggest that companies need to develop distribution strategies according to consumers' characteristic factors that effect consumer's purchase decision-making.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.21 no.9
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• pp.2328-2340
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• 1996

Until now, the transmission of data for VOD(Video on Demenad) was based on a real time modelling of video data. Markow Modulated Fluid Sources(MMFS) and Markow Modulated Poisson Sources(MMPS) are the most widely used modelling methods. But the charactersitics of the VBR(Variable Bit Rate) signal prevents modelling from actually being "real-time". Also these methods call for the use of large buffers for the abolishment of cell loss. These modelling methods are, of course, useful i case of teleconferences where a real time modelling of video traffic is inevitable, but they are insufficient in cases where the characteristic infomation of video traffic can be obtained beforehand-cases such as VOD. Video data is speial in that if one file is preprocessed all other products can simply be copied from that onepreprocessed file. This characteristic helps reduce the overhead arising from the job of drawing out characteristic information to almost zero. But still, compared to the existing real time modelling method data transmission using characteristic information succeeds in raising the efficiency of data transmission. In tis paper we will outline a method of dta transmission which use the characteristic information of each video stream, and evaluate this method through some experiments.periments.

• Journal of Industrial Convergence
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• v.20 no.5
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• pp.61-68
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• 2022

In recent years, malicious codes are being produced using the developing information and communication technology, and it is insufficient to detect them with the existing detection system. In order to accurately and efficiently detect and respond to such intelligent malicious code, an intelligent detection model is required, and in order to maximize detection performance, it is important to train with the main characteristic information set of the malicious code. In this paper, we proposed a technique for designing an intelligent detection model and generating the data required for model training as a set of key feature information through transformation, dimensionality reduction, and feature selection steps. And based on this, the main characteristic information was classified by malicious code. In addition, based on the classified characteristic information, we derived common characteristic information that can be used to analyze and detect modified or newly emerging malicious codes. Since the proposed detection model detects malicious codes by learning with a limited number of characteristic information, the detection time and response are fast, so damage can be greatly reduced and Although the performance evaluation result value is slightly different depending on the learning algorithm, it was found through evaluation that most malicious codes can be detected.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.977-978
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• 2008

People feel gloomy or delightfulness psychologically according to characteristic of the music when they listened the music. this effect called acoustic psychology effect. In this paper we have analyzed the music felt with gloomy or delightfulness in spectrum to find out characteristic of that music.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.7A
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• pp.1257-1263
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• 2001

In the paper, the p-ranks and characteristics polynomials of cyclic difference sets are derived by expanding the trace expression of their characteristic sequences. By using this method, it is shown that the 3-ranks and characteristic polynomials of Helleseth-Kumar-Martinsen (HKM) difference set and Lin difference set can be easily obtained.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2004.04a
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• pp.171-176
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• 2004

Image matching is fundamental process in photogrammetry and computer vision to identify and to measure corresponding features on the multiple images. Uniqueness of the matching entities and robustness of the algorithm are the key issues that have influence on quality of the matching result. The optimal solution could be obtained by utilizing appropriate matching entities in the first place. In this study, candidate matching points were extracted by interest operator, and an area-based matching method was applied with characteristics of the gray value distribution as the matching entities. The characteristic information is based on the concept of "intrinsic image" (or parameter image). The information was utilized as additional and/or complementary matching entities. Matching on interest points with the characteristic information resulted in high quality of matching because matching windows were created with surrounding pixels of the interest points that contain distinct and unique features. The experiment shows that matching quality and reliability increase by exploiting interest operator, and the characteristic information has potential to be matching entity.

• Journal of Fisheries and Marine Sciences Education
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• v.19 no.1
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• pp.74-83
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• 2007

These days business logistics has become one of the very important factors of logistics cost reduction and customer service satisfaction. In order to control business logistics more effectively, many companies must be concerned about logistics performance.This study aims at analyzing information system characteristic and logistics performance. The information system characteristic variables are considered IS resource, IS strategic role. The logistics performance variables are considered logistic cost, customer service.For data on the 301 sampled company, a mail survey using a questionnaire was conducted in this study. The following results were obtained.First, IS characteristic variables were significant for logistics performance. Specially, efficient management of IS manpower and IS planning, present IS were significant for logistics performance. Second, there also were IS manpower and IS planning, present IS that indentifing high logistics performance group and low logistics performance group.

• Management & Information Systems Review
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• v.34 no.5
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• pp.111-125
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• 2015

The article starts with a review of system characteristic, information characteristic and personal characteristic on educational performance through educational satisfaction. This survey is intended for educatee's who take the course of KcLep. We found that all variables of system characteristic(easiness, flexibility and reliability) significantly effect the educational satisfaction. Information characteristic(timeliness, usefulness) significantly effect on educational satisfaction, but the correctness doesn't significantly effect on educational satisfaction. Personal characteristic(self-efficacy and achievement motivation) significantly effect on educational satisfaction, but the computing ability doesn't significantly effect on educational satisfaction. We found that the educational satisfaction significantly effect on the education performance.