• Journal of Information Technology Applications and Management
• /
• v.9 no.3
• /
• pp.79-95
• /
• 2002

As the budget size and complexity of 1T investment are growing, IT value measurement becomes more critical to the success of IT management In public organizations and private firms. It has been known that there are many factors such as IT costs, risks, qualify, and usage that should be taken Into consideration during the process of measuring IT value and making IT Investment decisions. However, little research has been done so far In order to analysis factors affecting the IT value and effectiveness. The purpose of this study Is to Investigate the impact of IT Project types and ownerships on IT value evaluation. The three research questions are as follows : (1) Does IT project type such as transactional, Informational, and infrastructure have any impact on 1T value measurement\ulcorner (2) Does the IT development ownership has any Impact on IT value\ulcorner (3) Does the IT operation ownership has any impact\ulcorner The empirical research was done at S-Electronics, world-wide known and the biggest manufacturing company in Korea, based on the method of structured interview. About 200 individual Information systems have been evaluated to calculate ROI measures, the dependent variable In this study. The results of statistical analysis show that two of three Independent variables, IT project types and IT development ownership, have statistically significant effects on IT value in terms of ROI measures.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.10
• /
• pp.491-499
• /
• 2020

The implementation of PPK-BLU in Indonesia was not followed by a comprehensive change in aspects of organization, human resources, and finance. Based on this background, this study aims to provide a comprehensive evaluation of the BTIP after the implementation of the PPK-BLU policy in the implementation of telecommunications services and information to the public in Indonesia. This research used integration of the McKinsey 7S method, Analytical Hierarchy Process, and Likert scale. The integration of these methods can provide a detailed quantitative analysis. Based on the overall evaluation results of carrying out the PPK BLU, BTIP has a performance value of 81.195%, which puts it within the Good category. The McKinsey 7S elements used as a whole have the following values: one aspect is categorized as Very Good, namely, the strategy aspect with a value of 91.025%; two aspects are categorized as Good (structural aspects with a value of 86.857%, and skill aspects with a value of 81.432%); three aspects are categorized as Adequate (style aspect with a value of 76.441%, staff aspect with a value of 78.605%, and share value aspect with a value of 76.331%); one aspect is categorized as Bad, that is the system aspect with a value of 67.503%.

• Journal of the Korean Society of Environmental Restoration Technology
• /
• v.12 no.3
• /
• pp.59-71
• /
• 2009

The goals of this study were to development Natural Ecosystem Value Assessment Model, to suggest the practical applicability of the Natural Ecosystem value assessment for development areas, and to assess natural ecosystem quantitatively using GIS. The Model can evaluate Natural Ecosystem Value between before and after land developments. To select indicators for the model, we conducted the literature reviews. and six indicators and the standard of evaluation had been developed through the expert interviews and literature reviews. the relative importance of the evaluation index throught two times expert questionnaires was found out. the Natural Ecosystem Value Assessment Model has been established, The results demonstrate that although the suggested six indicators are arranged by priority, to maintain quantitative and qualitative the natural ecosystem value, all indicators are desirable to be maintained complementarily. The findings of this study suggest that the natural ecosystem value assessment model appears to be effective an assessment for damaged natural environment value and possible to assign a score value. Also, this model can be applied to research areas and has implications to help maintain the natural ecosystem in land development districts.

• The Journal of the Korea Contents Association
• /
• v.21 no.12
• /
• pp.34-46
• /
• 2021

In the domestic data exchanging market, unreasonable pricing of purchase data is consistently mentioned as a major obstacle in data trading. This is a problem caused by the inability to properly evaluate the value of data products due to lack of product information and experience in using them. In order to activate trading, the data exchanges need to provide information that allows consumers to comprehensively judge the value of data products in addition to prices. The cost-based, income-based, and market-based methods, which are mainly applied to data valuation, are insufficient as data valuation methods to stimulate trading and distribution because only price information, a result of valuation from a supplier's point of view, can be shared with consumers. This study aims to develop a measurable valuation method that allows data trading stakeholders (exchanges, suppliers, and consumers) to judge and share the value of data products from a common perspective. To this end, we identified the value drivers of data products, which are considered important in overseas data exchanges and related research, and derived an evaluation method that can quantitatively measure each value driver. In addition, evaluation criteria in the form of a rating table were developed using data products for transactions, and a value evaluation index was developed through stratification analysis (AHP) to enable relative value comparison. As a result of applying the evaluation criteria to actual data products, it was found that the evaluation values were differentiated according to the characteristics of individual data products, so it could be used as a relative value comparison tool.

• Korean Journal of Construction Engineering and Management
• /
• v.7 no.6
• /
• pp.141-150
• /
• 2006

As the law on the private sector investment in social infrastructure was amended in January of 2005, the government is aggressively promoting BTL projects but many trials and errors and problems are occurring. Especially, the Value-For-Money evaluation conducted by the responsible agencies to judge the appropriateness of the project found there was a conspicuous difference between the computed cost and the final contract sum. Accordingly, this study is aimed to grasp the problems in the current Value-For-Money evaluation and to improve it in order to proceed with BTL projects efficiently. To achieve this, through a relative comparison to the final contract sum, a clear standard for the items of Value-For-Money evaluation was presented and thus, a model that can ensure accuracy in computing the Value-For-Money was established so that a delay in negotiations can be avoided. If the Value-For-Money evaluation established in this study is used in assessing the appropriateness of unit prices for BTL projects for education facilities, a reasonable result can be expected to be drawn in selection and negotiations with contractors, and maintenance and Post-Operation-Evaluation(POE) of education facilities as well.

• Korean Journal of Construction Engineering and Management
• /
• v.16 no.3
• /
• pp.3-10
• /
• 2015

Value engineering (VE) of the construction project is classified into design phase value engineering and construction phase value engineering. Design phase value engineering must apply to over 10 billion public construction projects by government law. Therefore, the design value engineering apply to actively in construction projects. In contrast, the construction value engineering apply to a limited certain construction project. The reason is that construction value engineering process can not reflect practical demands quality. The construction value engineering can implement to positive impact through the feasibility verification for constructability. In this research, we propose a method of construction value engineering that reflect the practical demands. This method is experts alternative evaluation of using by GFI-based. And, this study was applied to the practical cases to verify the applicability of the proposed method. As a result, proposed alternative evaluation method were analyzed highly efficient in terms of applying the process as well as the method compare to the conventional method.

• Journal of Korea Multimedia Society
• /
• v.24 no.3
• /
• pp.481-493
• /
• 2021

Regional brands are recognized for their importance as one of the local public relations policies, but only the methods promoted by local government officials and outside experts are revealing limitations in self-reliance and sustainability. In order for a regional brand to succeed, it is necessary to develop and manage a brand that fits the characteristics of the region together with various stakeholders including residents. In this study, it was confirmed that regional brand evaluation indicators may vary depending on the stage of co-creation in the design process for regional brand development, and the type of value co-creation was determined through a classification method using the results of the evaluation index. According to the results of the study, the type of value co-creation that fits the local situation and characteristics can be derived by adjusting the stage of co-creation execution in the design process.

• Journal of Environmental Impact Assessment
• /
• v.10 no.1
• /
• pp.59-71
• /
• 2001

This study aims to propose a determinant model to select a method on calculating weight of each indicator for environmental evaluation. According to analyzing and comparing with three types of methods for calculating weights which are usually used to evaluate environment with indicators, the weights which were obtained by each type were all different from each other. This means that a differential weighting method must be applied to each of environmental evaluation studies. Therefore, a determinant model is required to determine weight-calculating methods. Three types of weighting methods, such as weighting by importance degree, weighting by eigen-value and weighting by analytic hierarchy process, were compared. Under the necessity, a determinant model was drawn for selecting a compatible method to calculate weights of indicators in environmental evaluation.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2002.05a
• /
• pp.586-591
• /
• 2002

Recently, the research and discussion to set up the evaluation standard for nor impact noises in multistory residential buildings has been vividly carried out In Korea. Therefore, the correlation between the methods and auditory responses was investigated through this research to investigate the applicability of the L index evaluation method and the reverse A characteristics evaluation method that are listed in JIS A 1419 since Japanese circumstance are similar to Korean after evaluating the duality of Korean multistory residential buildings. As a result, it was found that the correlation between the value resulted from L index evaluation and the value from reverse A characteristics evaluation is high. In addition, it was also revealed that human responses to each Impacter was similar. Consequently, it is considered th:31 the tendency about the two methods would be similar.

• Knowledge Management Research
• /
• v.18 no.1
• /
• pp.67-81
• /
• 2017

As the important breakthrough continues in the field of machine learning and artificial intelligence recently, there has been a growing interest in the analysis and the utilization of the big data which constitutes a foundation for the field. In this background, while the economic value of the data held by the corporates and public institutions is well recognized, the research on the evaluation of its economic value is still insufficient. Therefore, in this study, as a part of the economic value evaluation of the data, we have conducted the economic value measurement of the data generated through the small business guarantee program of Korean Federation of Credit Guarantee Foundations (KOREG). To this end, by examining the previous research related to the economic value measurement of the data and intangible assets at home and abroad, we established the evaluation methods and conducted the empirical analysis. For the data value measurements in this paper, we used 'cost-based approach', 'revenue-based approach', and 'market-based approach'. In order to secure the reliability of the measured result of economic values generated through each approach, we conducted expert verification with the employees. Also, we derived the major considerations and issues in regards to the economic value measurement of the data. These will be able to contribute to the empirical methods for economic value measurement of the data in the future.