• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.5
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• pp.335-341
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• 2018

The KDE (Kernel Density Estimation) technique in GIS (Geographic Information System) has been widely used as a method for determining whether a phenomenon occurring in space forms clusters. Most human-generated events such as traffic accidents and retail stores are distributed according to a road network. Even if events on forward and rear roads have short Euclidean distances, network distances may increase and the correlation between them may be low. Therefore, the NKDE (Network-based KDE) technique has been proposed and applied to the urban space where a road network has been developed. KDE is being studied in the field of business GIS, but there is a limit to the microscopic analysis of economic activity along a road. In this study, the NKDE technique is applied to the analysis of urban phenomena such as the density of shops rather than traffic accidents that occur on roads. The results of the NKDE technique are also compared to pedestrian networks and road centerline networks. The results show that applying NKDE to microscopic trade area analysis can yield relatively accurate results. In addition, it was found that pedestrian network data that can consider the movement of actual pedestrians are necessary for accurate trade area analysis using NKDE.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.52-63
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• 2008

Virtuality is a product of the information age, and as it plays a larger role in the activities of individuals, groups and organizations, the issue of how human behavior varies between virtual and physical space has become one of the most important questions facing the management environment of today. The purpose of this article is to examine how virtuality shapes individuals' social relationships within and outside their work groups. We developed a conceptual framework that explores the links between virtuality and social network based on computer-mediated communication theory and social network theory. Using data from 172 individuals of 42 project teams in 5 global business consulting firms, we tested cross-level hypotheses. The results of hierarchical linear modeling (HLM) indicate that virtuality significantly influences individual's internal tie strength as well as external bridging ties. The results also show the effects of virtual process via CMC vary along with the virtual context.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.3
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• pp.171-183
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• 2012

This study intends to find a solution through the activation of community business as a business as a business model of the creation of real satisfaction for the region's residence. In this study focuses on finding out how community building project, which is recently emerging as a new paradigm of regional development. In the past, we have lived community units, but nowadays many communities have been destroyed by the capitalization and the urbanization even in the rural area. This report studies essential elements needed for successful 'Rural Community Business' through case studies of 'Dandelion Village' in Gyoengsangnamdo. In order to do so, we analyzed this villages according to a theoretical 'Sustainable Community Business Model.' We constructed successful business model of 'Rural Community Business' based on six groups - 'Community Leader,' 'Teamwork,' 'Sustainable Population Influx,' 'Sustainable Voluntary Participations of Community Members,' and 'Sustainable Networking.

• Journal of Distribution Research
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• v.11 no.3
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• pp.55-78
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• 2006

In business-to-business setting, dyadic relationships between firms are of paramount interest. Recent developments in business practice strongly suggest that to understand these business relationships, greater attention must be directed to the embedded context within which dyadic business relationships take place. As a result, it is important to develop an understanding which is to move from dyadic business relationship to business networks. The purpose of the current study is (1) to identify types of network benefits: information acquisition, access to tangible resources, cooperative support from network members, (2) to model network benefit efforts on a customer orientation for customer firm, (3) to examine the relationship between network characteristics and network benefits. Adopting resource-based view and social capital theory, the conceptual model is proposed. In order to develop and test a model, this paper was empirically to examine how network characteristics can reinforce network benefits leading to focal firm's customer orientation using 123 firms. Through structural equation modeling, this research found that (1) density influences information acquisition, access to tangible resources, cooperative support from network members, (2) centrality increases information acquisition, access to tangible resources. We also find that information acquisition, access to tangible resources, cooperative support from network members enhances focal firm's customer orientation. Finally, We discuss several theoretical and practical implications, and suggest limitations for the research and future research issue.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.2
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• pp.133-139
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• 2010

PC camera-based instant messenger have problems of video image break/delay and noise. The reason is caused by a composed problem that PC Camera is belong to the connected PC and operating in the PC. This research suggests an instant messenger that uses network camera connected to LAN instead of PC camera. Therefore, the instant messenger has a component that the camera is separated from PC. This research designs sequence diagram, video calls flow chart, and graphic user interface of the instant messenger. The instant messenger based on network camera provides high quality video calls service and makes it possible to call from a special remote site with real-time video image.

• Journal of the Institute of Convergence Signal Processing
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• v.9 no.2
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• pp.154-158
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• 2008

Autonomous business card exchange system using ZigBee with low power and short range was configured In the autonomous business card exchange system characterized as full mesh network in which every node exchanges each information one by one, it is necessary to reduce the time taken for information to be exchanged. In this paper, the novel method where the node ID is exchanged based on CSMA/CA and then the information of each node is broadcast to other nodes according to the ID list based on FIFO. The time required for exchanging information using the proposed method was analyzed and compared with the direct exchange method based on CSMA/CA. The results show that it takes less time in the proposed method than the direct exchange time.

• Journal of Information Technology and Architecture
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• v.9 no.3
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• pp.303-321
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• 2012

Scenarios are an effective tool for supporting a company to be successful in its increasingly complex, changing business environment. They are especialy effective in dealing with uncertainties. This paper show how business managers or supervisors can develop scenario-based business strategies. This is explained by the case study of MVNO (Mobile Virtual Network Operator) in Korean mobile service market. In addition, we discuss on theoretical background of scenario- based management and describe the integration of scenarios into process of strategic management. This includes specific methodological approaches to identify the key factors and logics for scenario building, to develop new strategies.

• The Journal of Industrial Distribution & Business
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• v.14 no.11
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• pp.1-9
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• 2023

Purpose: The industrial sector, especially in developed countries, is seen as the primary threat to sustainability. As a result, contemporary organizations prioritize establishing sustainable business practices. This sustainability can be achieved by organizations being concerned with their external environments, which is referred to as going green. This study aims to provide a green logistics network design to explain how to attract green consumers. Research design, data and methodology: This study conducted a comprehensive process to obtain textual dataset in the current literature and finally the author could collect total 26 relevant prior studies to achieve the purpose of the study. All dataset was thoroughly screened and selected for the high-degree of validity. Results: Based on the intensive literature review, the author insists that the four findings presented in this study will be useful as they provide evidence of the importance of technology in achieving global sustainability.in the situation we face that technology has become an important part of human life. Conclusions: This study provides meaningful insights into the environmental strategies that organizations across the world can implement to achieve a green supply chain based on the solutions in this study. The strategies presented in this study are evidence-based and have been tested through different studies.

• Journal of Information Technology Services
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• v.15 no.1
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• pp.97-111
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• 2016

In the creative economy paradigm, motivation of the opportunity based startup is a continuous concern to policy-makers. Recently, bigdata anlalytics challenge traditional methods by providing efficient ways to identify social trend and hidden issues in the public sector. In this study the authors introduce a case study using social bigdata analytics for conducting policy analysis. A semantic network analysis was employed using textual data from social media including online news, blog, and private bulletin board which create buzz on the startup business. Results indicates that each media has been forming different discourses regarding government's policy on the startup business. Furthermore, semantic network structures from private bulletin board reveal unexpected social burden that hiders opening a startup, which has not been found in the traditional survey nor experts interview. Based on these results, the authors found the feasibility of using social bigdata analysis for policy-making. Methodological and practical implications are discussed.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.214-222
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• 2021

Recently, the growth of e-commerce in Saudi Arabia has been exponential, bringing new remarkable challenges. A naive approach for product matching and categorization is needed to help consumers choose the right store to purchase a product. This paper presents a machine learning approach for product matching that combines deep learning techniques with standard artificial neural networks (ANNs). Existing methods focused on product matching, whereas our model compares products based on unstructured descriptions. We evaluated our electronics dataset model from three business-to-consumer (B2C) online stores by putting the match products collectively in one dataset. The performance evaluation based on k-mean classifier prediction from three real-world online stores demonstrates that the proposed algorithm outperforms the benchmarked approach by 80% on average F1-measure.