• Asia pacific journal of information systems
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• v.27 no.2
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• pp.126-138
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• 2017

The proliferation of items increased the difficulty of customers in finding the specific items they want to purchase. To solve this problem, companies adopted recommender systems, such as collaborative filtering systems, to provide personalization services. However, companies use only meaningful and essential data given the explosive growth of data. Some customers are concerned that their private information may be exposed because CF systems necessarily deal with personal information. Based on these concerns, we analyze the effects of the amount of information on recommendation performance. We assume that a customer could choose to provide overall information or partial information. Experimental results indicate that customers who provided overall information generally demonstrated high performance, but differences exist according to the characteristics of products. Our study can provide companies with insights concerning the efficient utilization of data.

• Asia pacific journal of information systems
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• v.15 no.3
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• pp.41-64
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• 2005

The effects of information quality and the importance of information have been reported in the information Systems(IS) literature. However, little has been learned about the impact of data quality(DQ) on decision performance. Recognizing with this problem, this study explores the effects of contextual DQ on decision performance. To examine them, a laboratory experiment was conducted. Based on two levels of contextual DQ and two levels of task complexity, this study had a $2{\times}2$ factorial design. The dependent variables used to measure the outcomes of decision performance were problem-solving accuracy and time. The results demonstrated that the effects of contextual DQ on decision performance were significant. The findings suggest that decision makers can expect to improve their decision performance by enhancing contextual DQ. This research not only extends a body of research examining the effects of factors that can be tied to human decision-making performance, but also provides empirical evidence to validate and extend DeLone and McLean's IS success model.

• JSTS:Journal of Semiconductor Technology and Science
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• v.10 no.1
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• pp.28-36
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• 2010

Hardware implementation methods for Artificial Neural Network (ANN) have been researched for a long time to achieve high performance. We have proposed a Network on Chip (NoC) for ANN, and this architecture can reduce communication load and increase performance when an implemented ANN is small. In this paper, a multiple NoC models are proposed for ANN, which can implement both a small size ANN and a large size one. The simulation result shows that the proposed multiple NoC models can reduce communication load, increase system performance of connection-per-second (CPS), and reduce system running time compared with the existing hardware ANN. Furthermore, this architecture is reconfigurable and reparable. It can be used to implement different applications of ANN.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.8
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• pp.37-45
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• 2022

This study attempts to understand the relationship between accounting information systems AIS and firms' performance; in the first part of the study, a brief introduction that focuses on the technological advancements and the impact of such advancements on the business world, and in the second part, a review of literature that considered different perspectives on the relationship between AIS and firms' performance. The key differences between manual and automated systems were shown in a table later in the literature review, followed by explanations for each comparison aspect. In the third part, four questions are asked regarding the AIS implementation; the questions covered the top management commitment, the users' competencies, the quality of the adopted system, and the impact of the degree of technological investment on the implementation process. Data for the study was acquired from a Saudi SME. The study's purpose is to investigate the impact of AIS on organizational performance in Saudi SMEs. The presented ideas of this study, where the main finding of the study is that AIS implementation has a positive impact on firms' performance.

• The Journal of Information Systems
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• v.15 no.4
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• pp.171-188
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• 2006

Information technology and the Internet have had a dramatic effect on education method and individual life. Universities and companies we making large investments in e-Learning applications but are hard to pressed to evaluate the success of their e-Learning systems. e-Learning can be seen as not only one of Internet based information systems which can provide education services but also one of teaching-teaming methods which can implement self-directed teaming. This paper tests the updated model of information system success proposed by Delone and McLean using a field study of a e-Learning. The five dimensions - information quality, system quality, service quality, user satisfaction, net benefit - of the updated model are parsimonious framework for organizing the e-learning success metrics identified in the literature. Questionaires are collected from 107 students who are enrolling a e-learning class using online survey. The model is tested using SPSS and LISREL. The results show that information quality and service quality are significant predictors of user satisfaction with the e-Learning system but system quality is not. Also user satisfaction is found to be a strong predictor of the learning performance. This strong association between user satisfaction and teaming performance suggests that user satisfaction may serve as a valid surrogate for teaming performance. Empirical testing of the updated DeLone & McLean model should therefore be extended to cover a wider variety of systems.

• Management & Information Systems Review
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• v.25
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• pp.43-68
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• 2008

From intuitional viewpoint many researchers have been considering that information technology investment serves to increase the productivity and the profitability of firm. But the empirical studies that have examined the relationship between information technology investment and firm performance have reported mixed findings. In spite of that, recently there has been growing recognition of the importance of assessing information technology investment in determining future performance of firms. This study examines the relationship between investment in information technology and performance of securities companies in Korea. I use Tobin's Q, a financial market-based measure of firm performance and investigates the pure effect of information technology investment on firm performance after controlling for a variety of firm specific variables which may affect on firm performance. This study finds that information technology investment have a significantly positive association with Tobin's Q. This result implicates that information technology investment contributes to a firm's future performance potential.

• Asia pacific journal of information systems
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• v.1 no.1
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• pp.87-101
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• 1991

The primary purpose of this study was to investigate a robust search methodology that could be used in full-text information retrieval systems. A robust search methodology is one that can be easily used by a variety of users (particularly naive users) and it will give them comparable search performance regardless of their different expertise or interests In order to develop a possibly robust search methodology, a fully functional prototype of a fuzzy knowledge based information retrieval system was developed. Also, an experiment that used this prototype information retreival system was designed to investigate the performance of that search methodology over a small exploratory sample of user queries To probe the relatonships between the possibly robust search performance and the query organization using fuzzy inference logic, the search performance of a shallow query structure was analyzes. Consequently the following several noteworthy findings were obtained: 1) the hierachical(tree type) query structure might be a better query organization than the linear type query structure 2) comparing with the complex tree query structure, the simple tree query structure that has at most three levels of query might provide better search performance 3) the fuzzy search methodology that employs a proper levels of cut-off value might provide more efficient search performance than the boolean search methodology. Even though findings could not be statistically verified because the experiments were done using a single replication, it is worth noting however, that the research findings provided valuable information for developing a possibly robust search methodology in full-text information retrieval.

• Journal of information and communication convergence engineering
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• v.11 no.3
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• pp.167-172
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• 2013

Recently, mobile communication systems are suffering from exponentially increasing data traffic. As a promising solution to the increase in data traffic, a coordinated multi-point transmission and reception (CoMP) scheme has been proposed. Although a great deal of research has been done on this new technology, the performance of mobile communication systems with CoMP has not been evaluated properly in a typical indoor environment. To address this, we have developed a system-level simulator and evaluated the performance of mobile communication systems with CoMP. Unlike previous works, we have used an actual antenna pattern in our simulator and link-level results are properly taken into account through link-level abstraction. By using a system-level simulator, we have evaluated the performance of mobile communication systems with CoMP in an indoor environment and found that unlike an outdoor cellular environment, CoMP may not improve the performance of overall mobile communication systems in an indoor environment.

• Management Science and Financial Engineering
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• v.12 no.1
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• pp.35-64
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• 2006

This study empirically investigated cultural differences in the amount of information provided by management accounting information systems as well as the differences in organizational performance according to variations in the amount of information. Through cluster analysis, we classified sample firms into five organizational cultural types: Semi-innovative, innovative, bureaucratic, semi-bureaucratic and supportive. The results showed that in the semi-innovative firms, a greater amount of the traditional and advanced types of information is produced, while in bureaucratic firms, traditional information is much more provided than in the innovative, semi-bureaucratic and supportive firms. These results confirmed cultural differences in the amount of information produced. According to the results of this study, it was found that in organizational performance, the rankings of semi-innovative firms, which have the highest scores in the amount of information, are also the highest, and the performance scores in innovative firms are generally next to those of semi-innovative firms. Hence, it is concluded that there are cultural differences in the amount of information provided, and these differences affect organizational performance.

• Proceedings of the CALSEC Conference
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• 2002.01a
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• pp.65-85
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• 2002

In order to achieve competitive business goals, every enterprise needs to evaluate the current level of IS(information systems) performance and their utilization. The evaluation is to measure technical capacity and operational capability of enterprise information systems and to diagnose their effectiveness of business goals and efficiency of resources. Furthermore, organizations need to apply information technology(IT) proactively instead of reactively. However. it is usually very difficult for an enterprise to accumulate knowledge acquired during construction of the information systems and apply it to maintain and evaluate them. Also. most researches regarding evaluation are limited in some parts of evaluation fields, the most prominent being lack of the entire views and integrated relationships of enterprise activities. This dissertation develops an integrated evaluation system, which is based on the continuous improvement model of information systems performance. that effectively measures the level of enterprise information systems performance. enabling enterprises to achieve their goals of information systems and related business strategies. The contents of this work are composed of the continuous improvement model of information systems performance, an integrated evaluation system for IS performance and case study.