• Journal of the Korean Society for Library and Information Science
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• v.37 no.4
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• pp.53-68
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• 2003

This study is an attempt to re-examination of information value and it´s economic efficiency from the viewpoint of information science. This study focuses on the analysis of the considerable discussions about added value of information and cost-benefit analysis of information. This study shows that the researches of information value or value-added information have dealt with the effect of information use and the measuring information efficiency concerns cost-benefit analysis of information services. A case study on ‘the national digital library program’ is also demonstrated as a pilot model for the cost-benefit analysis of information services.

• IE interfaces
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• v.12 no.4
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• pp.487-495
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• 1999

Mobile telecommunication service is one of the most competitive and rapidly growing industries in Korea. In competitive environments, it is essential to measure and improve customer satisfaction(CS) levels. However, there are a few problems in existing methods of CS measurement. First, sacrifice such as price is not included properly. Thus, the CS is not expanded into the value concept which is important to customer's behavioral intention. Second, CS measurements are not benchmarked with other competitive companies and CS index cannot reflex it properly. AT&T experienced these problems and suggested customer value added (CVA) for CS measurement. In this study, we try to introduce the CVA concept into our mobile telecom services. CS attributes were constructed, an survey was conducted for 5 mobile telecom companies, CS survey results were presented, and the validity of CVA concept was discussed.

• Journal of Information Technology Services
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• v.17 no.2
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• pp.49-67
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• 2018

This study compares economic impact between Software and Medical industry through Input Output Table by Bank of Korea. We classify Software and Medical industry by The ninth Korea Standard Industry Classification and use linkage effects, value added inducement coefficient, and labor inducement coefficient to analyze economic impact. First, software and medical industry have different linkage effects between backward and forward. Second, They have higher value added inducement coefficient than average of all industry. Third, They not only have higher labor inducement coefficient than average of all industry but also simillar effect on labor induction. According to the result of this study, software and medical industry have high economic impact on Korea economy, and therefore are intensively fostered by policy support.

• Journal of Information Technology Services
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• v.11 no.sup
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• pp.153-164
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• 2012

There is a belief that timely and precise data are important to decisions and the better decisions are related to better firm performance. However, empirical research investigating the effect of data quality on firm financial performance is still scarce up to recently. Current study empirically explores such an effect of data quality on firm accounting performance in the Korean manufacturing industry during 2008~2010 with secondary data. The results show that better data quality does not impact on sales and operating profit, but positively and significantly impacts on EVA(Economic Value Added). Raising the level of data quality management maturity by one level can increase EVA by about 34% in manufacturing firms.

• Journal of Information Technology Services
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• v.17 no.3
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• pp.37-51
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• 2018

Recently, cloud computing market is growing geometrically in both private and public area, and many global companies in various domains have developed and provided cloud computing services. In such situation, Korean government made multiple plans for domestic cloud computing industry. However, most research institutes have focused on market size and status information, which makes actual effectiveness of cloud computing service hard to recognize. In this study, we define cloud computing Industry by rearranging Input-Output table published by the Bank of Korea to use Input-Output Analysis. The Input-Output Analysis was devised in 1963 by Leontief and it is used in many fields of study until now. It produces various coefficients that are able to identify production-inducing effect, value-added effect, labor-inducing effect, front and rear chain effect. The analysis results show that production-inducing effect, front and rear chain effect of cloud computing industry is low compared to other industries. However, cloud computing Industry possesses relatively high value-added effect and labor-inducing effect. It is because industry magnitude of cloud computing is smaller than other industries such as manufacturing, chemical industries. The economic effects of the cloud computing industry are not remarkable, but this result is significant to emerging markets and industries and presents the fresh way of analyzing cloud computing research field.

• Journal of Korea Multimedia Society
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• v.10 no.12
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• pp.1752-1761
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• 2007

Location-based services are a recent concept that integrates a mobile device's location with other information in order to provide added value to a user. Although Location-based Services provide users with comfortable information, it is a complex task to manage and share heterogeneous and numerous data in decentralized environments. In this paper, we propose the Semantic LBS Model as one of the solution to resolve the problem. The Semantic LBS Model is a LBS middleware model that includes an ontology-based data model for LBS POI information and its processing mechanism based on Semantic Web technologies. Our model enables POI information to be described and retrieved over various domain-specific ontologies based on our proposed POIDL ontology. This mechanism provide rich expressiveness, interoperability, flexibility in describing and using information about POls, and it can enhance POI retrieval services.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.11a
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• pp.147-156
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• 2005

In developing the ubiquitous computing technology based services (ubiquitous services), evaluating how much value of those services is created or added is very crucial. The efforts to evaluate the ubiquitous services have been progressed in two perspectives - technical perspective and behavioral perspective. Despite its importance, however, the methodologies which integrate both perspectives have been still very rare. Hence, this paper aims perspectives have been still very rare. Hence, this paper aims to propose an integrated ubiquitous service valuation methodology based on the multi-layered approach including technical and behavioral perspectives. To do so, we conducted a case study with currently existing location based service (LBS) such as navigation systems by conducting focus group interview (FGI) and field survey.

• Proceedings of the KSRS Conference
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• 2002.10a
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• pp.854-859
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• 2002

Location Based Services, or LBS refers to value-added service by processing information utilizing mobile user location. With the rapidly increasing wireless internet subscribers and world LBS market, the various location based applications are introduced such as buddy finder, proximity and security services. As the killer application of the wireless internet, the LBS has preconsidered technology about location determination technology, LBS middleware server for various application, and diverse contents processing technology. This paper describes the open architecture for LBS platform ensuring interoperability among the wireless networks and various location-based application services and the functional requirements for the LBS platform. The LBS platform in a narrow sense provides a standard interfaces for location management and network management for location services as follows, positioning (location acquisition through network or/and handset), location managing, location based functions, profile management, authentication and security, location based billing, information roaming between carriers and the system monitoring independent to specific network or ISP/CPs(Content Providers).

• The Korean Journal of Food And Nutrition
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• v.28 no.3
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• pp.428-435
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• 2015

This study was conducted to investigate the quality characteristics of instant gruel containing ear mushroom and black rice with the goal of improving the added value and increasing the consumption of ear mushroom. To make ear mushroom instant gruel using the puffing technique, the proportion of white rice to black rice and the amounts of dried ear mushroom added ranged from 75~100% : 25~0% and 0~4%, respectively. Based on rapid visco analysis (RVA) of gruel powder, peak viscosity, holding strength, final viscosity and set back increased as we increased the proportion of dried ear mushroom and decreased that of black rice. The gruel made of 80% white rice : 20% black rice and 3% dried ear mushroom contained $18.53{\mu}g/100g$ vitamin $D_2$, 3.73 g/100 g dietary fiber and is therefore expected to improve bone health and bowel movement. Also, the DPPH free radical scavenging activity for this gruel was 56.7%, which indicates high antioxidant activity. In contrast, using 100% white rice or 75% white rice : 25% black rice adversely affected the taste and flavor of the gruel.

• Journal of Korean Society for Quality Management
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• v.29 no.4
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• pp.153-160
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• 2001

The proposed system measures business performance by considering both VA(Value-Added), which represents stakeholder's point of view and EVA(Economic Value-Added), which represents shareholder's point of view. To do so, we suggest a business performance scheme which utilizes VA per Capita (Value- Added/Workers) and EVA to Invested Capital(Economic Value-Added /Invested Capital). For effective measurement of business performance, we consider simultaneously not only quantitative financial factors such as VA, EVA and cash flow but also qualitative value drivers such as defect ratio, inventory level, customer satisfaction, enterprise culture and so on. However, we don't consider the qualitative factors due to the limited data. To demonstrate the performance of the system, we conducted a case study using financial data of Korean automobile industry over 16 years from 1981 to 1996, which is taken from database of KISFAS (Korea Investors Services Financial Analysis System).