• Information Systems Review
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• v.4 no.1
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• pp.19-31
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• 2002

The JTEL's success case of implementing ERP through ASP is studied in this paper. This paper especially presents the detail processes of implementing ERP through ASP and the advantages of that. Critical success factors in this case study are that pre-prepared ERP template and repetitive prototyping methodology was successfully utilized and that end users involved positively and accepted the standard best-practice processes of the ERP template in this project. These factors reduced ERP training periods and also the whole implementation periods, which made the project time quite short and TCO less. Considering these success factors, ASP method provides the advantages of global e-business IT environment, continuous new IT technologies and flexible response to the business changes to the small and medium firms. Finally, the paper suggests the new direction and possibility for small and medium firms focusing on the core competency and utilizing new system infrastructure through ASP method compared with in-house implementation.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.206-219
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• 2011

This study is the first step for ICT-based service model development for exhibition service innovation. To obtain the goal of this research, we derived the core problems of current exhibition industry service through previous literature, open-ended question and focus group interview. And then, we provided prioritization of twelve new services utilizing six assessment items(importance, duplication, urgency, ease of execution, prevalence, publicness) to derive policy priorities. We analyzed two portfolios that combination of four assessment items - importance/urgency and ease of execution/prevalence. Through surveying and analyzing the result, this paper serves that the priority facts are 'The work invisible barrier installation services', 'Exhibition history management and referral services', and 'Exhibit labels and descriptive text information service utilizing Augmented Reality'. In particular, 'The work invisible barrier installation services' is the most important service not only the assessment criterion of duplication and publicness but also overall measurement score points.

• Spatial Information Research
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• v.2 no.2
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• pp.117-134
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• 1994

The problems of urban land use are becoming worse by the increase of population and facilities. Land use planning is the major part of comprehensive city plan¬ning. Understanding and forecasting the present and future conditions of land use are the main process of land use planning. In order to comprehend the various phenomena which occured on the land, collecting accurate land information is the most important thing for the effective management of land use. Therefore, it is necessary for us to establish the land information systems. In this study, theories of functions, objectives, components and applications of land information systems were investigated as the basis of this research. Case studies of Korea and Japan were examined, not only for the desirable selection of input data items, but also for the effective land use anslysis in land information systems. Through this kind of study, we can anslize and understand the changing patterns of land use over time, and we can also prepare a more desirable and adjustable land use plan-ning programs for the future.

• Journal of Distribution Research
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• v.15 no.3
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• pp.35-69
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• 2010

Successful management of distributors is crucial for the success of multi-level marketing (MLM) because MLM sells products and services through distributor networks. The present study examines the impact of the up-line distributors' transformational leadership on down-line distributors' entrepreneurship, market orientation, and performance. The proposed research questions were examined based on a survey of 135 down-line distributors working at the largest domestic MLM company. A mediation mechanism was found that the up-line distributors' transformational leadership increases the down-line distributors' entrepreneurship and market orientation, which in turn influences their performance. Based on the findings, the present study suggests the importance of transformational leadership in MLM. Practical implications for the roles of transformational leadership and its impact on corporate management in specific business areas are also discussed.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.231-241
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• 2021

The consulting industry is also growing as the use of management consulting increases as the importance of management strategies for the survival of companies due to rapid environmental changes is highlighted. As a result, competition among consulting firms is intensifying, and securing competitiveness is essential. This study tried to confirm the method of securing competitiveness of consulting firms from the perspective of organizational competitiveness through organizational effectiveness. As the consulting service is a knowledge service field, an empirical analysis was conducted for consultants who performed it because professional human resources were a core technology. Exploratory factors, reliability analysis, and regression analysis were performed using SPSS 22.0. As a result of a study on the effect of consultants' organizational effectiveness on customer orientation, it was found that the consultant's organizational commitment and organizational performance had a significant effect. It was possible to confirm the importance of intrinsic motivation to secure the competitiveness of consulting firms in the changing environment. This presented practical implications for organizational management regarding the continuous growth of consulting firms.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.169-177
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• 2019

The city is experiencing various problems such as traffic congestion, environmental pollution, urban crime, and faces the limit of growth. Recently, various attempts to build a Smart City have been spreading around the world, in order to solve these problems. Smart City is attracting attention as the core platform of the future city with the $4^{th}$ industrial revolution. However, various definitions of smart city are mixed, and the methods and strategies for implementing smart city are changing or evolving due to the development of technology and the experience during that time. This study summarizes the definition of various smart city through literature review and suggests smart city building strategy that enables sustainable growth of cities as a platform of the $4^{th}$ industrial revolution era.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.1
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• pp.251-283
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• 2021

As a national library, the National Library of Korea is responsible for collection, provision, and preservation of national knowledge, information, and cultural heritage. This study aims to develop performance indicators as a rational tool to improve management of the National Library of Korea for its continuous growth and development. The performance indicators are based on the BSC(Balanced Scorecard), which is useful for linking the organization's strategies in response to changes in the library environment with performance measurement. As a result, 4 BSC-based perspectives (① Resources, Access, Infrastructure Perspective, ② Usage Perspective, ③ Efficiency Perspective, ④ Potential and Growth Perspective), 19 key success factors, and 71 performance indicators were developed for the National Library of Korea. Also, differences in perception of performance indicators by ranks and job duties at the National Library of Korea were analyzed.

• Journal of Internet of Things and Convergence
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• v.8 no.1
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• pp.37-43
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• 2022

The fundamental basis of AI technology is learningable data. Recently, the types and amounts of data collected and produced by the government or private companies are increasing exponentially, however, verified data that can be used for actual machine learning has not yet led to it. This study discusses the conditions that data actually can be used for machine learning should meet, and identifies factors that degrade data quality through case studies. To this end, two representative cases of developing a prediction model using public big data was selected, and data for actual problem solving was collected from the public data portal. Through this, there is a difference from the results of applying valid data screening criteria and post-processing. The ultimate purpose of this study is to argue the importance of data quality management that must be most fundamentally preceded before the development of machine learning technology, which is the core of artificial intelligence, and accumulating valid data.

• Convergence Security Journal
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• v.24 no.2
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• pp.9-17
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• 2024

This paper examines the security threats to enterprise Generative Artificial Intelligence systems and proposes countermeasures. As AI systems handle vast amounts of data to gain a competitive edge, security threats targeting AI systems are rapidly increasing. Since AI security threats have distinct characteristics compared to traditional human-oriented cybersecurity threats, establishing an AI-specific response system is urgent. This study analyzes the importance of AI system security, identifies key threat factors, and suggests technical and managerial countermeasures. Firstly, it proposes strengthening the security of IT infrastructure where AI systems operate and enhancing AI model robustness by utilizing defensive techniques such as adversarial learning and model quantization. Additionally, it presents an AI security system design that detects anomalies in AI query-response processes to identify insider threats. Furthermore, it emphasizes the establishment of change control and audit frameworks to prevent AI model leakage by adopting the cyber kill chain concept. As AI technology evolves rapidly, by focusing on AI model and data security, insider threat detection, and professional workforce development, companies can improve their digital competitiveness through secure and reliable AI utilization.

• The Journal of Bigdata
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• v.4 no.2
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• pp.159-173
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• 2019

Last-Mile delivery optimization plays a key role in the urban supply chain operation, which is the most expensive and time-consuming and most complicated part of the whole delivery process. The urban consolidation center (UCC) is regarded as a significant asset for supporting customer demand in the last-mile delivery service. It is the key benefit of UCC to improve the load balance of vehicles and to reduce the total traveling distance by finding the better route with the well-organized multi-leg vehicle journey in the urban area. This paper presents the model using multiple scenario analysis integrated with mathematical optimization techniques using Geographic Information System (GIS). The model aims to find the best solution for the distribution network consisted of DC and UCC, which is applied to the case of Ulaanbaatar Mongolia. The proposed methodology integrates two sub-models, location-allocation model and vehicle routing problem. The multiple scenarios devised by selecting locations of UCC are compared considering the general performance and delivery patterns together. It has been adopted to make better decisions the quantitative metrics such as the economic value of capital cost, operating cost, and balance of using available resources. The result of this research may help the manager or public authorities who should design the distribution network for the last mile delivery service optimization using UCC within the urban area.