• Journal of Information Technology Services
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• v.7 no.2
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• pp.41-57
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• 2008

The development of service-based software and web-based application aims for providing user-demand service. On-demand software is emerging for same reason. Software delivery models like on-demand software is expected to change the software industry as an important technical revolution with the firm's strategy. Few research, however, has been done on the on-demand software. While much research on ASP and SaaS focused on firm' use, this study intends to examine the intention of using on-demand software targeting personal user. The intention to use of on-demand software was empirically examined in terms of quality, user characteristics, usefulness, easy of use, and security. Results shows that usefulness and easy of use are most significantly related to the intention of using on-demand software. Other factors are also found to affect the intention to use of on-demand software. This study contributes to improve the understanding and interest in on-demand software and it is expected to spread widely for individual user.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.264-272
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• 2020

In this study, for the people who turned or returned to farming (the "Returnees"), information provision measures were sought, focusing on "farmland," for their difficulties in the settlement phase and finding a way for their new agricultural companies to settle in the farming business stably. For this purpose, this study considered endogeneity using a bivariate probit model. According to the results of the study, first, there is a strong positive correlation between the difficulty of securing farmland and the demand for providing farmland information in the settlement phase. Therefore, to ensure the stable settlement of the Returnees, it is necessary to actively respond to their demand through the provision of farmland information. Second, for young returnees, the probability of encountering difficulties in securing farmland is high during the settlement phase. Third, if the young returnees returned to farming after seeing the possibility of agricultural development, the possibility of securing farmland in the settlement stage decreases, and although there was no statistical significance, the demand for farmland information also decreases. Fourth, it was found that if the returnees intend to expand the scale of farming in the future, it is difficult to secure farmland in the settlement phase, and the demand for farmland information also increases.

• The Journal of Korean Association of Computer Education
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• v.6 no.3
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• pp.99-108
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• 2003

This paper indicates limitations of the existing VOD(Video on Demand)-based on-line education systems and presents the design and implementation of Education on Demand (EOD) system as an alternative. EOD system is based on meta information expressed in XML and component technology. Overall system consists of authoring tool. contents server, learning policy system and contents viewer. which are utilized throughout the learning contents life-cycle. EOD system enables automated contents management using meta information exchange methodology that is conformant to the SCORM meta data presentation scheme. In addition, integrated management of interaction and feedback information along with the learning policy system provides customized learning guide for each individual learner. With the development of EOD system, this paper discusses about advanced on-line education system which surpasses existing content-providing-only systems.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2001.05a
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• pp.15-19
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• 2001

This paper describes effectiveness and characteristics of 3 P(point) task analysis as a new Ergonomic and Kansei design method for extracting user demand especially. The key point in 3 P task analysis is to describe the flow of tasks and extract any problems in each task. A solution of a problem means a user demand. 3 P task analysis cal eliminate an oversight of check items by examining the users' information processing level. The suers' information processing level was divided into the following three stages for problem extraction: acquirement of information ---> understanding and judgment ---> operation. Three stages has fourteenth cues such as difficulty of seeing, no emphasis, mapping for extracting problems. To link analysis results to the formulation of a product concept. I added a column on the right side of the table for writing the requirements (user demand) to resolve the problems extracted from each task. The requirements are extracted by using seventh cues. Finally 3 P task analysis was compared with group interview to make the characteristics of 3 P task analysis, especially extracting user demand, clear.

• Industrial Engineering and Management Systems
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• v.14 no.2
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• pp.129-158
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• 2015

It is necessary for retailers to determine the optimal ordering policy of products considering supply disruptions due to a natural disaster and a production process failure as quality and machine breakdowns. Under the situation, a dualsourcing supply chain (DSSC) is one of effective SC for retailers to order products reliably. This paper proposes the optimal ordering policy of a product in a DSSC with a retailer and two manufacturers. Two manufacturers may face supply disruptions due to a natural disater and a production process failure after they received the retailer's order of products. Here, two scenarios of demand information of products are assumed: (i) the demand distribution is known (ii) mean and variance of the demand are known. Under above situations, two types of DSSC are discussed. Under a decentralized DSSC (DSC), a retailer determines the optimal ordering policy to maximize his/her total expected profit. Under the integrated DSSC (ISC), the optimal ordering policy is determined to maximize the whole system's total expected profit. Numerical analysis investigates how demand information and supply disruptions affect the optimal decisions under DSC and ISC. Besides, profitability of supply chain coordination adjusting the wholesale price is evaluated to encourage the optimal decision under ISC.

• Journal of Information Technology Services
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• v.21 no.6
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• pp.117-125
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• 2022

In respond to climate change caused by global environmental problems, countries around the world are actively promoting the advancement of new electricity industries. The new energy business is being applied to energy storage systems (ESS), electric vehicle charging business, and power demand response using cutting edge technologies. In 2022, the Korean government is also establishing a policy stance to foster new energy industries and making efforts to improve its responsiveness to power demand response with the innovative technologies. In Korea, attempts to commercialize energy power are also being made in the private and public sectors to control energy power in houses, buildings, and industries. For example, private companies, local governments, and central government are making all-out efforts to develop new energy industry models through joint investment. There are forms such as establishing energy-independent facilities by region, establishing an electric vehicle charging system, controlling urban lighting systems with Information technologies, and managing demand between power suppliers and power consumers. This study examined the business model applied with energy storage system, electric vehicle charging business, smart lighting, and power demand response based on information communication technology to examine the site where smart energy system was introduced. According to this study, company missions and government tasks are suggested to apply new energy business technologies as economical energy solutions that meet the purpose of use by region, industry, and company.

• ETRI Journal
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• v.45 no.4
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• pp.627-635
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• 2023

In vehicular edge computing (VEC) networks, the rapid expansion of intelligent transportation and the corresponding enormous numbers of tasks bring stringent requirements on timely task offloading. However, many tasks typically appear within a short period rather than arriving simultaneously, which makes it difficult to realize effective and efficient resource scheduling. In addition, some key information about tasks could be learned due to the regular data collection and uploading processes of sensors, which may contribute to developing effective offloading strategies. Thus, in this paper, we propose a model that considers the deterministic demand of multiple tasks. It is possible to generate effective resource reservations or early preparation decisions in offloading strategies if some feature information of the deterministic demand can be obtained in advance. We formulate our scenario as a 0-1 programming problem to minimize the average delay of tasks and transform it into a convex form. Finally, we proposed an efficient optimal offloading algorithm that uses the interior point method. Simulation results demonstrate that the proposed algorithm has great advantages in optimizing offloading utility.

• Spatial Information Research
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• v.20 no.6
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• pp.77-90
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• 2012

In this paper, we examined how to utilize QR codes for meeting the information demand and making better use of the paper map. By Decision Tree Analysis, we investigated whether to have any intention to use the paper map with QR codes for receiving more information and what decision variables affect the answers. Thus, we also surveyed the area of providing information and sectoral demand for deriving additional information demand to being provided through QR codes. In the results of our study, we confirmed that the decision variables, to make any intention to use the paper map with QR code, are the frequency of using the paper, the experience of using the paper map, the intention to buy the paper map, the experience of using QR codes and the experience of buying the paper map. In these variables, the frequency of using the paper map is a major factor to decide whether it is intended to use the paper map with QR codes. we also identified that there are various additional information demand using the paper map with QR codes in the area of 'Daily life', 'Real estate', 'Education', 'Travel and Leisure', and 'Entertainment'. Especially additional information demand is high in the area of 'Travel and Leisure'. These results could be used to find a way how to vitalize the usage of paper map by introduction of QR codes and how to develop QR codes for the paper map and concerning applications.

• Proceedings of the Korea Contents Association Conference
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• 2004.11a
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• pp.531-537
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• 2004

This study shows the status quo of domestic information resources and future information demand in nanotechnology area. For this a wide range of survey through questionnaire was conducted on the present status of information resources, information collecting activities and information demand according the specific fields of nanotechnology and kinds of contents. In addition the information usage behavior and satisfaction of information users was also studied. This study gives some useful suggestions on the strategy of information use and the direction of building contents as well as the policy making of nanotechnology information.

• Plant Journal
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• v.15 no.1
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• pp.31-37
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• 2019

In this study, to improve the accuracy of forecast of heat demand in the district heating system, this study applied heat demand performance among the main factors of district heating demand forecast in Pankyo area as the heat sales information of the user facility instead of existing heat source facility heat supply information, and compared the existing method with the accuracy based on the actual value. As a result of comparing the difference of the forecasts values of the existing and changed methods based on the performance values over the one week (2018.01.08 ~ 01.14) during the hot water peak, the relative error decreased from 7% to 3% The relative error between the existing and revised forecasts was 9% and 4%, respectively, for the five-month cumulative heat demand from February to February 2018, Also, in case of the weekend where the demand of heat is differentiated, the relative error of the forecasts value is consistently reduced from 10% to 5%.