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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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The Journal of Information Systems
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Journal DOI :
The Korea Association of Information Systems
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Volume & Issues
Volume 20, Issue 4 - Dec 2011
Volume 20, Issue 3 - Sep 2011
Volume 20, Issue 2 - Jun 2011
Volume 20, Issue 1 - Mar 2011
Selecting the target year
A Six Sigma Methodology Using Data Mining : A Case Study of "P" Steel Manufacturing Company
Jang, Gil-Sang ;
The Journal of Information Systems, volume 20, issue 3, 2011, Pages 1~24
DOI : 10.5859/KAIS.2011.20.3.1
Recently, six sigma has been widely adopted in a variety of industries as a disciplined, data-driven problem solving approach or methodology supported by a handful of powerful statistical tools in order to reduce variation through continuous process improvement. Also, data mining has been widely used to discover unknown knowledge from a large volume of data using various modeling techniques such as neural network, decision tree, regression analysis, etc. This paper proposes a six sigma methodology based on data mining for effectively and efficiently processing massive data in driving six sigma projects. The proposed methodology is applied in the hot stove system which is a major energy-consuming process in a "P" steel company for improvement of heat efficiency through reduction of energy consumption. The results show optimal operation conditions and reduction of the hot stove energy cost by 15%.
Studying a Balance Scored Card-driven System Dynamics Model for Enhancing Hospital Key Performances
Chung, Hee-Tae ; Park, Hwa-Gyoo ;
The Journal of Information Systems, volume 20, issue 3, 2011, Pages 25~40
DOI : 10.5859/KAIS.2011.20.3.25
Small and Medium sized hospitals are exposed to severe managerial environments recently. Around 8.0% of the hospitals are bankrupted every year. The adverse managerial environment does not only come from external factors such as patients` preference for larger hospitals, regulations on the medical charges; more serious problems come from the way the medium and small sized hospitals deal with those exogenous changes including lack of management skills, lack of change management skills, lack of managerial decision support systems, etc. This paper aims to support managers to make decisions regarding the exogenous changes. This paper can be interpreted as an attempt of a merge of the two techniques; BSC and system dynamics. Starting with a BSC system, the development of a system dynamics model can take advantages of the BSC information.
Comparison Shopping System Based on RSS with Ontology Matching
Park, Sang-Un ;
The Journal of Information Systems, volume 20, issue 3, 2011, Pages 41~61
DOI : 10.5859/KAIS.2011.20.3.41
In order to buy products through the Internet, consumers dissipate much time and efforts in collecting and comparing product information from various online shopping malls. Consumers can save their efforts by using price comparison sites, but there are some shortcomings in comparison shopping. Firstly, comparison sites do not show the lowest price of some products that are selling in shopping malls. Secondly, the product information provided by comparison sites is sometimes wrong. Thirdly, there are too many results. In order to overcome the shortcomings, we suggested a comparison shopping system based on RSS by using ontology matching. We used the current RSS standard for syntactic interoperability instead of suggesting new standards. Moreover, we used ontology matching for semantic interoperability to compare product information with different ontologies. The suggested ontology matching consists of three steps. The first step is finding exact sense from WordNet for a given product category, and the second step is searching for matching product category candidates from the products of RSS feeds. The final step is calculating similarities of the candidates with the target product category. From the experiments, we could get better recall rates that are suitable for e-commerce environments and the results show that our system is effective in product comparison.
Measuring the Confidence of Human Disaster Risk Case based on Text Mining
Lee, Young-Jai ; Lee, Sung-Soo ;
The Journal of Information Systems, volume 20, issue 3, 2011, Pages 63~79
DOI : 10.5859/KAIS.2011.20.3.63
Deducting the risk level of infrastructure and buildings based on past human disaster risk cases and implementing prevention measures are important activities for disaster prevention. The object of this study is to measure the confidence to proceed quantitative analysis of various disaster risk cases through text mining methodology. Indeed, by examining confidence calculation process and method, this study suggests also a basic quantitative framework. The framework to measure the confidence is composed into four stages. First step describes correlation by categorizing basic elements based on human disaster ontology. Secondly, terms and cases of Term-Document Matrix will be created and the frequency of certain cases and terms will be quantified, the correlation value will be added to the missing values. In the third stage, association rules will be created according to the basic elements of human disaster risk cases. Lastly, the confidence value of disaster risk cases will be measured through association rules. This kind of confidence value will become a key element when deciding a risk level of a new disaster risk, followed up by preventive measures. Through collection of human disaster risk cases related to road infrastructure, this study will demonstrate a case where the four steps of the quantitative framework and process had been actually used for verification.
The Effects of Mobile Application Quality on Satisfaction and Intention to Pay Mobile Application
Kim, Sang-Hyun ; Park, Hyun-Sun ;
The Journal of Information Systems, volume 20, issue 3, 2011, Pages 81~109
DOI : 10.5859/KAIS.2011.20.3.81
The increase in the number of smartphone users has recently been steep, which started to offer companies and individuals more opportunities to enter into a new business field. Furthermore, the smartphone applications have become one of the hottest topics inside and outside the mobile industry. Still the market is in its infancy and intention to pay of charged application of most smartphone users is relatively low. However, rate of charged application in appstore is expected to be increase steadily for some years to come. In this perspective, it is important to consider the smartphone mobile application. Research on smartphone application is still in its early stage. Thus, the purpose of this study is to find what are the effective factors on user satisfaction and intention to pay of mobile application. Based on information system success model, we proposed system quality(stability, usability, security), information quality(timeliness, accuracy, enjoyment) and service quality(reactivity, reliability, empathy) as factors to effect on user satisfaction in mobile application. The results showed that stability, usability, timeliness, accuracy, enjoyment, reactivity and empathy affected significantly user satisfaction. The relationship among satisfaction and intention to pay of mobile application was significantly supported. The implications of the findings is that firms and individual developers of mobile application should focus on customer retention through enhancing satisfaction and quality.
A Study on the Analyzing International Cooperation Using Bibliometrics : Focused on LED
Lee, Woo-Hyoung ; Yeo, Woon-Dong ; Park, Jun-Cheul ;
The Journal of Information Systems, volume 20, issue 3, 2011, Pages 111~127
DOI : 10.5859/KAIS.2011.20.3.111
This study is intended for international cooperation in the field of LED were analyzed. The results, LED wide coverage areas, and a promising future is expected to grow fast enough to occupancy for a major national technology is a competitive situation. Chip Scale Package, including our country, such as LED manufacturing technology that might be competitive in parts, but new technologies such as renal substrate R&D and technology development still active preemption is not the situation. Renal substrate, particularly, large-diameter sapphire, large size/large LED manufacturers, such as a promising area for future research and development support will be needed. To do this, previous research in this area and the U.S., Japan cooperation in such studies also will need to expand. Bibliometrics way through this study, analytical techniques and analytical tools used in the integrated analysis of the usefulness and necessity of the system development were found.
The Effect of PMO Functions on IT Project Performance
Kim, Jong-Ki ; Yoon, Ok-Soo ;
The Journal of Information Systems, volume 20, issue 3, 2011, Pages 129~159
DOI : 10.5859/KAIS.2011.20.3.129
A Study on the Impact of the RTE Characteristics for SCM Performance
Chang, Hwal-Sik ; Jun, Jong-Hyun ; Park, Kwang-Oh ;
The Journal of Information Systems, volume 20, issue 3, 2011, Pages 161~186
DOI : 10.5859/KAIS.2011.20.3.161
To date, SCM research has mainly focused on the effects of controlled variables on SCM success and emphasized adoption strategies and critical success factors. Consequently, the effects of more uncontrolled variables such as partnership between SCM partners have been largely ignored. The purpose of this study, therefore, is to examine the effects of both controlled variables and uncontrolled variables on SCM performance through affecting RTE characteristics. The six factors examined in this study include Quality of information, partnership quality, Forecasting, Agility, Visibility, and SCM performance. In this study, SCM Performance was divided into three categories: Quality Performance, Cost Performance, Delivery Performance. All factors were examined from the perspective of part suppliers. The results of this study can be summarized as follows. First, SCM information quality positively affected SCM partnership quality, Forecasting, Agility, Visibility. Second, SCM partnership quality positively affected Forecasting, Agility. But, SCM partnership quality showed no significant effect on Visibility. Third, Forecasting had a significant impact on SCM performance. According to the detailed result of measuring SCM performance with Quality Performance, Cost Performance, Delivery Performance, although Forecasting affects Cost Performance, Delivery Performance directly, it does not affect Quality Performance directly. Fourth, Agility also had a significant impact on SCM performance. According to the detailed result of measuring SCM performance, Agility has significant impact on Quality Performance, Cost Performance, Delivery Performance. Fifth, Visibility, as expected, had a significant impact on SCM performance. According to the detailed result of measuring SCM performance, Visibility has significant impact on Quality Performance, Cost Performance, Delivery Performance.
A Study on the Economic Contribution of IT Labor
Lee, Kang-Bae ;
The Journal of Information Systems, volume 20, issue 3, 2011, Pages 187~207
DOI : 10.5859/KAIS.2011.20.3.187
As the IT labor captures an increasing proportion of the total labor, it is important to analyze the contribution of IT labor to national economy. Although there has been abundant research about the effect of IT investments, it is difficult to find a research about IT labor`s economic contribution. Most prior studies on the effect of IT investment have focused on the effect of IT capital investment. This paper empirically explores whether and how IT labor makes contribution to Korean economy. And also this paper examines the economic contribution of IT experts and semi-experts in Korean industries over the 2000 to 2007 period, using production function framework and panel data set for 24 industries constructed from `Input-Output table` and `Research on Wage Structure Survey`. Based on the full sample of 120 observations, this study finds that a 1% increase in IT labor wage is associated with 0.042190% increase in added value. In the case of non-manufacturing industries on the sample of 50 observations, this study finds that a 1% increase in IT labor wage is associated with 0.074908% increase in added value. And in the case of IT experts (separated from IT semi-experts), this study finds that a 1% increase in IT expert`s labor wage is associated with 0.013957% increase in added value of all industry. This study provides implication for policy makers and managers. The results suggests that non-manufacturing industries can capture further benefits by increasing investment in IT labor. Building on this study, future research should examine the impact of IT labor at a more detailed industry level and the firm level.
A Study on Quality Factors of Web Enabled Collective Intelligence as a Donor for Business Success
Normatov, R. Ismatilla ; Joo, Jae-Hun ;
The Journal of Information Systems, volume 20, issue 3, 2011, Pages 209~235
DOI : 10.5859/KAIS.2011.20.3.209
Empirical Evaluation of Ensemble Approach for Diagnostic Knowledge Management
Ha, Sung-Ho ; Zhang, Zhen-Yu ;
The Journal of Information Systems, volume 20, issue 3, 2011, Pages 237~255
DOI : 10.5859/KAIS.2011.20.3.237
Finding Smartphone`s Factors which Affect Satisfaction or Dissatisfaction based on KANO Model
Lee, Sang-Gun ; Lee, Sin-Seok ; Kang, Ju-Young ;
The Journal of Information Systems, volume 20, issue 3, 2011, Pages 257~277
DOI : 10.5859/KAIS.2011.9.30.257
The current study categorizes factors of smartphone into three, using KANO model: attractive factors which cause only product satisfaction, must-be factors for dissatisfaction, and one-dimensional factors for both. Based on it, it presents a new model for the effects that smartphone factors have on satisfaction or dissatisfaction. The purpose is to theoretically explain that smartphone factors on which companies and users place a high value can actually affect satisfaction or dissatisfaction. After choosing 15 factors out of 25 which had been selected through literature study, these were divided into attractive, must-be, and one-dimensional ones. 93 out of 109 questionnaires returned were used for analysis. After frequency analysis using SPSS were conducted on the surveys, the factors were grouped, based on KANO table. The grouping results are as follows. Attractive factors include `expansion slots for external memory, battery desorption, brand awareness, mobile banking and internet telephony`. Must-be ones include `multi-touch, information security, entertainment, information retrieval, location based service and SNS. Finally, `screen visibility, size of internal memory, the amount of internal memory, battery life, and response to after-sales service` are classified as one-dimensional factors. A critical finding of this paper is that since the results are different depending on the operating system of smartphones, it must be taken into consideration in studies on smartphones. The wide and rapid spread of smartphones has changed people`s lifestyle as well as business environment, which forces companies to compete with each other to adapt to the changed circumstances. In this competitive system, studies on smartphone factors of satisfaction and dissatisfaction are essential for firms to establish a new strategy. From this point of view, the present paper is expected to be a basic material for enterprises not only to develop goods and services that maximize customer satisfaction and minimize dissatisfaction, but also to establish the future business strategy.