• Proceedings of the Technology Innovation Conference
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• 1999.12a
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• pp.63-81
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• 1999

The environment of Information and Telecommunication industry has rapidly changed. This is leading the growth of the world economy. Because of the characteristic of the information and communication, the standardization plays a important role in this market. The company that owns the standardization in its industry has dominant power like Microsoft in personal computer software, and Qualcomm in digital cellular phone system. Therefore, to take advantage of this standardization power, it is important to find which technology will be set up as a new standard. This paper presents how to capitalize the standardization as a market strategy. To perform this strategy, we take two steps. The first step is to strategically choose the most important technology or service which would lead the information and telecommunication market. We used modified AHP(Analytic Hierarchy Process) to set the priorities among the various standard related technologies and services, We interviewed with the information and telecommunication experts to find out some criteria and the weights of them. The second step is to select the standard to realize the technology. Actually, this is very hard to decide which technology we should select, because there are lots of alternative standards to develop the technology. In this step, we use a strategic framework for choosing the standard. This framework provides how the research institution and company do to get a maximum benefit from the standardization strategy, Finally, we applied these to Korea's situation simply in order to show how to take advantage of the framework.

• Journal of Information Processing Systems
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• v.16 no.6
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• pp.1238-1249
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• 2020

Throughout the world, aging populations and doctor shortages have helped drive the increasing demand for smart healthcare systems. Recently, these systems have benefited from the evolution of the Internet of Things (IoT), big data, and machine learning. However, these advances result in the generation of large amounts of data, making healthcare data analysis a major issue. These data have a number of complex properties such as high-dimensionality, irregularity, and sparsity, which makes efficient processing difficult to implement. These challenges are met by big data analytics. In this paper, we propose an innovative analytic framework for big healthcare data that are collected either from IoT wearable devices or from archived patient medical images. The proposed method would efficiently address the data heterogeneity problem using middleware between heterogeneous data sources and MapReduce Hadoop clusters. Furthermore, the proposed framework enables the use of both fog computing and cloud platforms to handle the problems faced through online and offline data processing, data storage, and data classification. Additionally, it guarantees robust and secure knowledge of patient medical data.

• CRM연구
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• v.1 no.1
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• pp.3-22
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• 2006

As customer relationship management (CRM) has been increasingly adopted by corporations as a core business strategy, measuring performance of CRM is becoming an important managerial issue recently. In this study, we present a conceptual framework formeasuring CRM performance, and provide strategic priorities among the diagnostic perspectives and factors involved in the framework by analyzing their comparative weights. We first derived critical success factors of CRM from an extensive literature review and in-depth interviews with industrial and academic CRM experts, and categorized them into one of four different diagnostic perspectives. Then, we asked a group of CRM experts to evaluate each set of diagnostic factors in a pairwise fashion with respect to each perspective, computing their comparative weights by using the Analytic Hierarchy Process (AHP) technique. In terms of diagnostic perspectives, this study shows that customer perspective was the most critical perspective, whereas infrastructure was the least weighted perspective. The result also discloses that explicit goal and top management's attitude, expanding customer relationship, strengthening customer loyalty, and enhancing customer equity are the most important factors in infrastructure, CRM process, customer, and organizational performance perspective, respectively.

• Journal of Digital Convergence
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• v.11 no.3
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• pp.353-361
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• 2013

In this study, to analyze the factors affecting the purchase of smart device applications, research model based on AHP(Analytic Hierarchy Process) model was employed and derived consumers' priorities of smart device game applications in the framework of contents characteristic factors. Survey was conducted with 10 experts who are involved in the smart game industry. The empirical result showed that the most important purchasing factor was story(0.217). And fame(0.171), graphics(0.134), operability(0.111), information(0.093), difficulty(0.085), speed(0.068), characters(0.053), price(0.042), genre(0.028) are presented in order in terms of the importance. The order of consumers' preferences to smart device game application was RPG, Tycoon, action, simulation, sports/leisure, quiz/puzzle/board, etc. gamble. It suggested that under the environment of smart devices consumers could enjoy not only simple puzzle and board game but also complicated and difficult games such as RPG and tycoon game due to the development of smart devices.

• The Journal of Society for e-Business Studies
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• v.14 no.2
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• pp.23-39
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• 2009

Increasing number of business and technology expansion has sparked a growing interest in IT service business evaluation. However, it is not an easy task to come up with a fair and objective evaluation of IT service business due to the difficulties involved in the definition performance assets (marketing, human resources etc.) and knowledge assets with respect to its industry. Several public organizations in Korea are developing a "standardized evaluation protocol" based on qualitative method. But the standard evaluation protocol does not provide suitable guidelines on how to construct and evaluate the key index of IT service business. The main objective of this study is in the development of a systematic approach for the evaluation of IT service business competitiveness by emphasizing the qualitative and quantitative index to be evaluated in the framework. Application of the developed framework and guideline format showed that the used of the framework in this study provided relatively more efficient evaluation results in IT service industry.

• Journal of the Korean GEO-environmental Society
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• v.15 no.7
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• pp.39-50
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• 2014

The goal of this work is to develop a framework of methods to entirely evaluate effects of LID (Low Impact Development) on soil-groundwater environmental quality as well as land-scape and ecological factors. For this study, we conducted an extensive literature review. As outcomes, soil-groundwater environmental quality is newly conceptualized as a comprehensive index reflecting (i) groundwater pollution sensitivity (hydrogeological factor), (ii) biochemical contamination, and (iii) biodegradability. The methods of classifying and indexing is shown by combining selection of the items to be measured for soil-groundwater environmental quality and integrating the resulted items comprehensively. In addition, from soil-groundwater environmental quality, land-scape and ecological factors in existing environmental impact assessment a method was developed an overall index which can evaluate effects to environment by using GIS (Geographic Information System) and AHP (Analytic Hierachy Process). For optimizing LID planning, designing and post-evaluation, LCIA (Life Cycle Impact Assessment) was regarded as an appropriate method.

• Korean Management Science Review
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• v.31 no.4
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• pp.43-53
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• 2014

There is no generally accepted single stylized methodology for the impact assessment of standardization programs even though some scholars in the United States or Europe have been trying to set up a common methodology during past decades. It is because the economic outcome indicators that analysts seek to quantify vary significantly with the diversity and complexity of the affected industry and the analytic approach, as well as the nature of STANDARDIZATION programs. This paper builds up the model to establish common methodology which is designed to enable the comparable economic assessment analysis between various STANDARDIZATION programs. The model thus serves to enable a comparable impact assessment because it enables both universally valid and stylized analysis, while traditional impact assessment analysis can vary depending on the kinds of analytic approaches. In other words, this paper developed the common methodology which is designed to stylize the universally valid impact assessment of STANDARDIZATION programs. In addition, this paper shows that it should be accompanied by empirical research for some items in the model, to enable the realization of the both comparable and sophisticated analysis of impact assessments, thereby outputting in the range of those values which depend on the industry and/or STANDARDIZATION type.

• KIISE Transactions on Computing Practices
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• v.24 no.3
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• pp.105-112
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• 2018

As data size increase, a single database is not enough to serve current volume of tasks. Since data is partitioned and stored into multiple databases, analysis should also support parallelism in order to increase efficiency. However, traditional analysis requires data to be transferred out of database into nodes where analytic service is performed and user is required to know both database and analytic framework. In this paper, we propose an efficient way to perform K-means clustering algorithm inside the distributed column-based database and relational database. We also suggest an efficient way to optimize K-means algorithm within relational database.

• Journal of Environmental Science International
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• v.25 no.4
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• pp.483-490
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• 2016

On the basis of conducting a comprehensive investigation to agricultural sightseeing garden landscape resources, we established a evaluation index system of agricultural sightseeing garden landscape resources. From the perspective of experts, comparing the importance of all levels indicators, we obtained the weights of landscape resources evaluation index through using the Analytic Hierarchy Process. The result showed that the descending order of the weights of influence of agricultural sightseeing garden nineteen evaluation index is: reach ability (0.128), safety (0.083), location (0.078), participatory (0.076), cultural value (0.058), ecological conditions (0.057), scenic beauty (0.0505), environmental quality (0.051), featured properties (0.0501), environmental tolerance (0.048), reputation (0.047), environmental capacity (0.045), humanize (0.041), spots configuration (0.034), applicable travel period (0.033), scientific value (0.032), art value (0.031), holistic (0.03), suitability (0.027), it can provide a framework and basis for the planning, management, protection and exploitation of agricultural sightseeing garden landscape resources.

• Structural Monitoring and Maintenance
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• v.4 no.1
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• pp.85-105
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• 2017

Monitoring is the most important part of the construction and operation of the embankment dams. Applied instruments in these dams should be determined based on dam requirements and specifications. Instruments selection considered as one of the most important steps of monitoring plan. Competent instruments selection for dams is very important, as inappropriate selection causes irreparable loss in critical condition. Lack of a systematic method for determining instruments has been considered as a problem for creating an efficient selection. Nowadays, decision making methods have been used widely in different sciences for optimal determination and selection. In this study, the Multi-Attribute Decision Making is applied by considering 9 criteria and categorisation of 8 groups of geotechnical instruments. Therefore, the Analytic Hierarchy Process and Multi-Criteria Optimisation and Compromise Solution methods are employed in order to determine the attributes' importance weights and to prioritise of instruments for embankment dams, respectively. This framework was applied for a rock fill with clay core dam. The results indicated that group decision making optimizes the selection and prioritisation of monitoring instruments for embankment dams, and selected instruments are reliable based on the dam specifications.