• Journal of Service Research and Studies
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• v.7 no.1
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• pp.65-82
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• 2017

This study is to examine the effects of high commitment HRM on service performance in the service industry, and to examine the mediating effect of the organizational internal innovation direction. Specifically, the direction of internal innovation consists of high-value-added HR and service and cost-reduction downsizing. We assumed that the high-value-added direction of HR and service will have a positive mediating effect. And assumed that cost-reduction downsizing direction has negative mediating effect. The data were collected from 2013 workplace panel survey(WPS) of the Korea Labor Institute(KLI). Among the 1,775 companies, 896 companies classified as wholesale and retail, transportation, professional scientific services, education services, health social services, financial services, and other services (such as information society support services) were extracted and used. In summary, high-commitment HRM has a positively significant effect on the direction of high value-added innovation of HR and services, and has a negatively significant effect on the cost-reduction downsizing direction. In addition, the direction of high value-added innovation of HR and service was positive effect on service performance, and cost-reduction downsizing innovation direction has a negative effect on service performance. And the direct effect of high commitment HRM on service performance has not been confirmed. However, we confirmed the positive mediating effect of high value-added innovation direction of HR and services, and confirmed that the negative mediating effect of cost-reduction downsizing. Therefore, it is confirmed that the two variables have a full mediating effect on the relationship between high commitment HRM and service performance.

• Asia pacific journal of information systems
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• v.22 no.3
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• pp.29-52
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• 2012

As sustainability has grown into a key global issue, more and more information technology (IT) products have adopted these concepts to attract consumers. However, these products potentially require consumers' physical or economic sacrifice at least for a short period of time. Therefore, the reason of consumers' adoption of sustainable IT products cannot be fully explained by the two traditional values: hedonic and utility values. However, expectancy-value theory, which has been used to explain the relationship between value and behavior, still takes hedonic value and utility value into consideration. The purpose of this study is to suggest an amended expectancy-value theory to better explain the adoption of IT products that consider sustainability. For this purpose, two social values-the normative value based on the Schwartz's model of moral norm and the eudemonic value of the Stoic philosophy-were added to the individual values to examine which value particularly influences the adoption of sustainable IT products. In addition, the moderating effect of perceived sustainability between four values and adoption of sustainable IT products was verified.

• Journal of the Korea Society of Computer and Information
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• v.5 no.4
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• pp.41-47
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• 2000

In modern dynamic management environment, there is growing recognition that information & knowledge management systems are essential for CEO's efficient/effective decision making. As a key component to cope with this current, we suggest the management performance data-mining system based on IT(Information Technology). This system measures management performance that is considered with both VA(Value-Added), which represents stakeholder's point of view and EVA(Economic Value-Added), which represents shareholder's point of view. The relationship between management performance and 85 financial ratios is analyzed, and then important financial ratios are drawn out. In analyzing the relationship, we applied the explanation-based Gas(Genetic Algorithms) that consider predictability, understanability (lucidity) and reasonability factors simultaneously. To demonstrate the performance of the system, we conducted a case study using financial data over the 16-years from 1981 to 1996 of Korean automobile industry which is taken from database of KISFAS(Korea Investors Services Financial Analysis System).

• Journal of the East Asian Society of Dietary Life
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• v.20 no.6
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• pp.932-938
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• 2010

This study was performed to determine the proximate analysis of Pleurouts eryngii and quality characterisitcs of pork cutlet sauce with added king oyster mushroom (Pleurotus eryngii). Pork cutlet sauce was prepared with different levels of king oyster mushroom powder (0, 1, 3, 5, and 7%) and stored for 21days at $25^{\circ}C$. Antioxidant activity was significantly increased by addition of king oyster mushroom powder (p<0.001). L, a and b value ignificantly increased with the increased of king oyster mushroom powder concentration. As king oyster mushroom powder concentration increased, pH value was increased and titratable acidity (%) value was decreased. pH value and titratable acidity (%) value were stable during storage period. Viscosity value and $Brix^{\circ}$ were significantly increased by addition of king oyster mushroom powder (p<0.001). The overall acceptability, sweetness and taste of the pork cutlet sauces with added 5% king oyster mushroom powder attained high scores.

• Journal of Nutrition and Health
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• v.40 no.sup
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• pp.3-8
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• 2007

Sugars are a ubiquitous component of our food supply and are consumed as a naturally occurring component of many foods and as additions to foods during processing, preparation, or at the table. Most fruits and dairy products are high in sugars and thus naturally occurring sugars are consumed as part of a healthy diet. Some countries developed recommended daily intake figures(daily values : DVs or guideline daily amounts: GDA) for nutrients, and some countries, but not most have developed DV/GDA for total sugars. Dietary Reference Intakes for Koreans established by the Korean Nutrition Society in 2005, did not include the reference values for total sugar or added sugar. The committee on Dietary Reference Intakes for sugar was constituted in 2006 and discussed whether to special added sugars or total sugar. Although added sugars are not chemically or physiologically different from naturally occurring sugars, many foods and beverages that are major sources of added sugars have lower micronutrient densities compared with foods and beverages that are major sources of naturally occuring sugars. But it was so hard to calculate a dietary intake of added sugar for Korean people, because there was insufficient information about contents of added sugar during processing or preparation of Korean food. Currently Korean or US food labels contain information on total sugars per serving but do not distinguish between sugars naturally present in food and added sugars. Therefore the committee decided to set the reference value for total sugar for Koreans. According to the recommended diet pattern for Koreans suggested by the Korean Nutrition Society, estimated sugar intake from the sugar containing food based on 2,000 kilocalories is 67 g or 13% of total energy. Based on the data available on risk of obesity, hypertension, hyperlipidemia, insulin resistance, and metabolic syndrome from the analysis of Korean NHANES, it was insufficient evidence to set a UL for total sugar, but tended to increase serum LDL cholesterol and obesity at over 20-25% of energy from total sugar when consumed with high carbohydrates. Therefore the committee on Dietary Reference Intakes for sugar set the Acceptable Macronutrient Distribution Range for total sugar as 10-20% of total energy intake.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1379-1383
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• 2005

Introducing the market into the electricity industry lets the multiple participants get into new competition. These multiple participants of the market need new business strategies for providing value added services to customer. Therefore they need the accurate customer information about the electricity demand. Demand characteristic is the most important one for analyzing customer information. In this study load profile data, which can be collected through the Automatic Meter Reading System, are analyzed for getting demand patterns of customer. The load profile data include electricity demand in 15 minutes interval. An algorithm for clustering similar demand patterns is developed using the load profile data. As results of classification, customers are separated into several groups. And the representative curves for the groups are generated. The number of groups is automatically generated. And it depends on the threshold value for distance to separate groups. The demand characteristics of the groups are discussed. Also, the compositions of demand contracts and standard industrial classification in each group are presented. It is expected that the classified curves will be used for tariff design, load forecasting, load management and so on. Also it will be a good infrastructure for making a value added service related to electricity.

• 한국공간정보시스템학회:학술대회논문집
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• 2005.05a
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• pp.351-354
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• 2005

NASA's remote sensing market analysis and forecast projects 3.3 billion dollars in 2005. On the other hand, a market research firm expected that world commercial remote sensing imagery, GIS software, Data, and value-added services will generate 8.3 billion dollar in 2007. It has been widely believed that geo-spatial information and service market is growing rapidly and has a huge potential, but it is not clearly understood where it is now and will be heading in the future. Also, it could be a significant question to answer where the industry in Korea fits the best in the world business trends and where it should be strategically heading to take a large market share. Furthermore, if it could be worth being considered as a Korean strategic industry for the future. Instead of pursuing direct answers to the questions, the author will start reviewing general business practices, major business transactions such as merging and acquisitions (M&A's) and initial public offerings (IPO's), and research on market capitalization and revenue of major companies. Throughout the study, a list of common grounds in the market was uncovered and realized as follows: (1) value-added data matters in geo-spatial information and service market; (2) private sector grows faster; (3) characteristics of multi-national industry; and (4) Dependency on major industry. Based on the findings, the author presents a list of recommendations as conclusions.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.3
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• pp.21-30
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• 2013

Powell-Miller theory is a good method to express or treat incorrect information. But it has limitation that requires too much time to apply to actual situation because computational complexity increases in exponential and functional way. Accordingly, there have been several attempts to reduce computational complexity but side effect followed - certainty factor fell. This study suggested expanded Approximation Algorithm. Expanded Approximation Algorithm is a method to consider both smallest supersets and largest subsets to expand basic space into a space including inverse set and to reduce Approximation error. By using expanded Approximation Algorithm suggested in the study, basic probability assignment function value of subsets was alloted and added to basic probability assignment function value of sets related to the subsets. This made subsets newly created become Approximation more efficiently. As a result, it could be known that certain function value which is based on basic probability assignment function is closely near actual optimal result. And certainty in correctness can be obtained while computational complexity could be reduced. by using Algorithm suggested in the study, exact information necessary for a system can be obtained.

• Journal of Information Technology Services
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• v.13 no.1
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• pp.161-179
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• 2014

Added value of music industry in Korea is not distributed and calculated properly, and this obstacle brings various problems in a creative environment. Meanwhile, a new business model such as Open Collaboration, Crowdsourcing and platform that makes decisions and innovation from external resources has been appeared in commercial area. This new model like a composer delivers to consumers directly through Youtube.com, and multi collaboration is applied to the music industry, and it enables a new type of mechanism for creation, distribution, division, and calculation of music. However there are not enough empirical study of the music market because existing relative researches has been centered around fundamental concepts and application methodologies. This research defines Open Collaboration Platform in the music industry, and studies affecting factors of Participation Intention for example Justice, Information System Quality and Perceived Value. For a survey we apply PLS(Partial Least Square) to analyse Equity, Information System Quality and structural equation between Perceived Value and Participation Intention. Analysis results show Distributive Justice and Procedural Justice affects Platform Trust, and Service Quality, Economical Value and Emotional Value affects Platform Usefulness. Also Platform Trust and Platform Usefulness affects Platform Participation Intention. We discussed academic and practical implication based on research results.

• Journal of Information Technology Services
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• v.12 no.1
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• pp.229-245
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• 2013

The information security industry market is sluggish despite high expectation for its growth, and thus policies are required to define the causes and to address these issues. The policy formulation requires various historical market and human resource data for analyzing the industry, which cannot be guaranteed secured. This study executed face-to-face in-depth interviews with the frontline businesses in order to gather live opinions and to analyze industry's value chain, problems, and difficulties with a view to defining policy tasks for the development of the industry. The findings of the study revealed the current technical level of the information security industry, the frontline difficulty, and industrial ecosystem status. Based on these findings, the industry revitalization policy was devised and proposed. Objectives of the policy included the fostering of capacity to conceptualize, plan, and design industrial strategies based on the analysis of the industry's value chain and ecosystem, the expansion of the industry's value-added through the enhanced securing and management of the Intellectual Property Rights (IPR), and the nurturing of the security Human Resources (HR) in line with the industrial demand.