• Journal of the Korea Safety Management & Science
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• v.2 no.3
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• pp.37-46
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• 2000

A company needs low cost and high efficient S/W tools to improve the white color productivity in daily operation, These needs may be satisfied by end-user knowledge management system to be suggested in this paper. We suggest that the end-user knowledge management is not made by specialized developer but directly made by end-users of some related managers using company-wide DB and department DB. We expect that this end-user knowledge management system will increase the efficiency of end-user daily operation and minimize the total life cycle cost of end-user computing system in industry. The suggested end-user knowledge management system has been tested in some companies through the training course.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.15 no.7
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• pp.574-580
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• 1990

Recently End-User Computing(EUC) is emerging as an alternative to the traditional information systems development approach which cannot cope with users' requirements of systems development because of increase in backlog. It is necessary that appropriate models of EUC to evaluate the expected benefits and risks and to implement should be developed for managers. The main objective of this study is to help managers who need to review their MIS policies by presentinb EUC strategies under the information systems research framework which have concluded through many studies.

• International Commerce and Information Review
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• v.8 no.1
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• pp.3-13
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• 2006

To develop and validate an instrument to measure user satisfaction in Internet shopping environment, the EUCS instrument by Doll and Torkzadeh (1988) was used for this research. The results of the study shows how the main constructs of the model that will eventually interact for the user satisfaction in internet commerce environment. This research will present significant progress towards keeping the End-User Computing Satisfaction instrument relevant and applicable under the Internet shopping environment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.7
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• pp.1935-1950
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• 2023

The arrival of the Internet of Things and 5G technology enables users to rely on edge computing platforms to process massive data. Data sharing based on edge computing refines the efficiency of data collection and analysis, saves the communication cost of data transmission back and forth, but also causes the privacy leakage of a lot of user data. Based on attribute-based encryption and blockchain technology, we design a fine-grained access control scheme for data in edge computing, which has the characteristics of verifiability, support for outsourcing decryption and user attribute revocation. User attributes are authorized by multi-attribute authorization, and the calculation of outsourcing decryption in attribute encryption is completed by edge server, which reduces the computing cost of end users. Meanwhile, We implemented the user's attribute revocation process through the dual encryption process of attribute authority and blockchain. Compared with other schemes, our scheme can manage users' attributes more flexibly. Blockchain technology also ensures the verifiability in the process of outsourcing decryption, which reduces the space occupied by ciphertext compared with other schemes. Meanwhile, the user attribute revocation scheme realizes the dynamic management of user attribute and protects the privacy of user attribute.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1990.04a
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• pp.81-90
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• 1990

The major objective of this paper is to analyze the relationships between End-User Computing(EUC) attributes and its implementation. Reviewing the related literatures, we categorized EUC attributes into threefactors - relative advantage, compatibility, complexity. With such attributes this paper proposed a hypothetical model which explains the effect of the EUC attributes on its implementation. Under the assumption that EUC attributes affect its implementation differently according to the several contingent factors, the model included such factors as organizational size, organizational support level on the EUC activities and individual characteristics - computer experience, education level, age. Data were collected form 177 end-users of 40 Korean business firms. Hypotheses were tested using Pearson Correlation, t-test, ANOVA and the results are discussed below.

• Korean Management Science Review
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• v.11 no.1
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• pp.165-186
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• 1994

The increasing importance of end-user computing(EUC) is reflected in the proliferation of academic and practitioner literature on the subject. However, much of this literature assumes widely differing dimensions of EUC, which tends to make many researchers suggest different success factors for managing EUC. Moreover, the variables regarding EUC management have been considerably restricted in previous research. In order to overcome these problems, this study focuses on identifying EUC dimensions theoretically and deriving generic variables representing the mode of EUC management by factor analysis first. Then, based on these EUC dimensions and generic variables for EUC management, effective ways of managing EUC are hypothesized and tested empirically through a mail survey of end-users in 83 Korean business organizations. The results suggest that effective management of EUC should be different depending upon which dimension more importance is attached to in implementing EUC.

• Journal of Web Engineering
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• v.21 no.1
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• pp.27-52
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• 2021

With recent increases in the number of network-connected devices, the number of edge computing services that provide similar functions has increased. Therefore, it is important to recommend an optimal edge computing service, based on quality-of-service (QoS). However, in the real world, there is a cold-start problem in QoS data: highly sparse invocation. Therefore, it is difficult to recommend a suitable service to the user. Deep learning techniques were applied to address this problem, or context information was used to extract deep features between users and services. However, edge computing environment has not been considered in previous studies. Our goal is to predict the QoS values in real edge computing environments with improved accuracy. To this end, we propose a GAIN-QoS technique. It clusters services based on their location information, calculates the distance between services and users in each cluster, and brings the QoS values of users within a certain distance. We apply a Generative Adversarial Imputation Nets (GAIN) model and perform QoS prediction based on this reconstructed user service invocation matrix. When the density is low, GAIN-QoS shows superior performance to other techniques. In addition, the distance between the service and user slightly affects performance. Thus, compared to other methods, the proposed method can significantly improve the accuracy of QoS prediction for edge computing, which suffers from cold-start problem.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.3
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• pp.1002-1015
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• 2018

The advent of Internet of Things (IoT) and the evident inadequacy of Cloud networks concerning management of numerous end nodes have brought about a shift of paradigm giving birth to Fog computing. Fog computing is an extension of Cloud computing that extends Cloud resources at the edge of the network, closer to the user. Cloud computing has become one of the essential needs of people over the Internet but with the emerging concept of IoT, traditional Clouds seem inadequate. IoT entails extremely low latency and for that, the Cloud servers that are distant and unknown to the user appear to be unsuitable. With the help of Fog computing, the Fog devices installed would be closer to the user that will provide an immediate storage for the frequently needed data. This paper discusses data migration between different storage types especially between Cloud devices and then presents a mechanism to migrate data between Cloud and Fog Layer. We call this mechanism Adaptive Deadline-Aware Scheme (ADAS) for Data migration between Cloud and Fog. We will demonstrate that we can access and process latency sensitive "hot" data through the proposed ADAS more efficiently than with a traditional Cloud setup.

• Journal of the Korean Society for information Management
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• v.20 no.1
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• pp.75-91
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• 2003

The purpose of this study is to identify the new roles and services of information center that is affected by changing information technology and end-user computing environment. A user satisfaction model has been used and hypotheses are developed to find relationships information center service evaluation factors. The hypotheses have been tested with 41 user surveys. This study presents the relationship between certain information center management variables and the end-user satisfaction applying organization-wide information service. The result of this research can give an insight of the evaluation of information center service activities.

• Journal of Information Technology Services
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• v.13 no.4
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• pp.309-324
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• 2014

This case study focuses on the preparing a guide for the plan to the companies that want to build a business document system for the centralized services under the cloud computing. Total 3 Operating companies with regard to cloud computing issues are introduced for this purpose. Analyzing the usage and development direction of the selected companies were performed to set up plans. Through this in-depth needs of the user's point of view for the management of business documents, The necessary improvements in the process of collaboration and document sharing were derived. Business documents centralized service plans were proposed based on cloud computing models. Practical experiences of the companies were helpful to present the details of the operational strategy and operational plans. Especially with minimal staff input and verification process, Sample method for the automatic generating of the new document file name is introduced. A test bed before operating the enterprise-wide system were presented with information that is to be considered when building systems.