• Proceedings of the Korea Inteligent Information System Society Conference
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• 2007.11a
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• pp.412-420
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• 2007

기존의 물리 공간과 제품은 RFID태그를 통해 원래의 사용 용도 이외의 매체로서의 기능을 갖게 되고, 이러한 매체 기능의 추가는 제휴 마케팅의 기반이 될 수 있다. 본 논문에서는 누구나 쉽게 RFID 태그부착 공간 제공자로 참여하여 물리적 공간의 트래픽을 전자적 트래픽으로 전환시켜 수익을 창출하는 경제활동을 가능케 하는 방법을 제안하며, 이러한 방법을 응용한 쿠폰 네트워크 비즈니스 모델을 제시하고 실제 작동할 조건을 분석하였다. 제안하는 비즈니스 모델과 방법을 통해 공간을 이용하여 비즈니스를 하고자 하는 기업과 공간제공자 간의 연결을 쉽게 하여 기업의 물리적 접점 확대와 공간제공자의 참여를 상대적으로 낮은 비용으로 실현시킬 수 있고, 공간소유자가 자신의 이익을 위해 하는 제휴 활동이 유비쿼터스 사회 인프라 확산을 촉진시키게 되도록 설계함으로써 불특정다수에 의한 빠른 RFID 태그 확산과 비용부담의 광범위한 분산을 이룰 수 있다.

• Asia Marketing Journal
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• v.1 no.1
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• pp.3.1-3.26
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• 1998

산업구조의 고도화과정에서 개별기업들은 세분화된 전문영역의 가치활동을 담당할 수밖에 없으며, 대신 개별 기업들이 가치활동의 네트워크적 연결체제를 구축함으로써 시스템 간 경쟁체제로 이행되게 된다. 본 연구는 시스템간 경쟁상황 속에서 기업간 네트워크적 연결구조가 과연 어떠한 전략적 유효성원천을 가지는가에 관하여 살펴보고자 하였다. 이를 위해 경쟁력원천의 4가지 유형인 4 S 즉, Scale merit(규모의 경제성), Scope merit(범위의 경제성), Speed merit(속도의 경제성), System merit(시스템의 경제성)의 변천과정을 분석하였다. 시스템간 경쟁의 상황 속에서 지금까지의 경제성개념으로 설명할 수 없는 새로운 경제성 효과가 나타나게 되는데 이를 시스템경제성과 연결 경쟁력이란 개념을 통해 그 내용과 경쟁력제고의 전략적 시사점을 제시하였다. 향후 정보기술이 발전하면서 기업간 네트워킹관계를 통해 분업된 가치활동들의 연결이 보다 고도화될 것이며, 시스템 경제성의 여러 원천들이 상호 시너지적으로 결합되면서 연결경쟁력을 중심으로 한 경영패러다임의 중요성은 더욱 커질 것이다.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.30 no.4 s.48
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• pp.561-570
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• 2004

The purpose of this research is to examine the level of understanding, current management and degree of satisfaction about 'Cosmeceuticals' among pharmacists running pharmacists. Using this research as a foundation, pharmacies are able to prepare an implementation plan for the marketing of 'Cosmeceuticais'. The level of understanding among pharmacists surveyed was found to be rather low as yet, and it will be necessary to increase their specialized knowledge. Through this analysis of current conditions, several means for pharmacies to implement marketing of 'Cosmeceuticals' are evident. These include expanding the definition of 'Cosmeceuticals' reforming the system for inspecting 'Cosmeceuticals', developing and distributing various specialized 'Cosmeceuticals', initiating training for increasing the level of specialized knowledge of pharmacists, developing public information by corporations and consumer networks, driving coordinated marketing with medical associations, linking marketing with health foods, ensuring display space at pharmacies, and offering knowledgeable consultations and detailed information about the products. This research is significant in that it shows that a plan reforming pharmacy management, which is affected by the environment in pharmacies such as the separation of pharmacies from medical practices, should include the an increase in marketing for 'Cosmeceuticals'. This research will be of great usefulness in forming a foundation for the sales strategy and manufacturing of 'Cosmeceuticals' by pharmacists, for the training of distributors about 'Cosmeceuticals', and for developing a distribution strategy.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38B no.1
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• pp.87-96
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• 2013

Influence propagation is an important research issue in social networks. Influence propagation means that the status or the disposition of nodes get changed by new idea, information and gossip propagated by other nodes. Influenced nodes also make other nodes influenced across the network. The influence propagation problem based on 'word of mouth' referral is to find most influential nodes set in networks to maximize influence. In this paper, we study the influence measuring and finding most influential nodes set in Delay-Tolerant Networks. It is difficult to measure exact influential power in Delay-Tolerant networks where network topology is not stable due to the nodal mobility. In this paper, we propose a distributed scheme that each node constructs $k$-clique community structure and estimates local influential power in Delay-Tolerant Networks. Simulation results show that the influential nodes information estimated by proposed scheme is in agreement with a global view of influential nodes information.

• The Journal of the Korea Contents Association
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• v.10 no.11
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• pp.30-37
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• 2010

It is very important to analyze online customer reviews, which are small documents of writing opinions or experiences about products or services, for both customers and companies because the customers can get good informations and the companies can establish good marketing strategies. In this paper, we did not propose only dependency network model which is tool for analyzing online customer reviews, but also designed and implemented the system based on the dependency network model. The dependency network model analyzes both subjective and objective sentences, so that it can represent relative importance and relationship between the nouns in the sentences. In the result of implementing, we recognized that relative importance and relationship between the features of products or services, which can not be mined by opinion mining, can be represented by the dependency network model.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.415-425
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• 2017

The purpose of this study is to examine the effect of perceived enjoyment and user's characteristics on the intention of continuous use when users play social network games on a mobile device. In addition, the study empirically investigated the mediating effect of flow experience in this process. To fulfill the purpose, this study conducted a survey on 244 college students and collected data. When the collected data was analyzed, the followings were known. First, perceived enjoyment, and both self-efficacy and innovation propensity of user's characteristics turned out to have a positive (+) effect on the intention of continuous use in mobile social network game. Second, in the process, it was known that flow experience played a mediating role. These findings are expected to be useful data in developing game contents of high quality or making a marketing strategy for continuous improvement of online social network game industry. In addition, future studies are expected to generalize the research to various age groups.

• The Journal of Bigdata
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• v.5 no.1
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• pp.55-63
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• 2020

This study proposed an approach of clustering collective users' activities of location-based social networks using check-in data of Foursquare users in Seoul. In order to cluster the collective activities, we generated sequential rules of the activities using sequential rule mining, and then constructed activity networks based on the rules. We analyzed the activity networks to identify network structure and hub activities, and clustered the activities within the networks. Unlike previous studies that analyzed activity transition patterns of location-based social network users, this study focused on analyzing the structure and clusters of successive activities. Hubs and clusters of activities with the approach proposed in this study can be used for location-based services and marketing. They could also be used in the public sector, such as infection prevention and urban policies.

• Journal of Global Scholars of Marketing Science
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• v.8
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• pp.515-535
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• 2001

This paper begins with investigation of the race to unlock human DNA, and investigates the emergent areas of bio-technological innovations. This paper draws upon basic ideas from the research traditions of the diffusion of innovations in the competitive situations. To achieve the succesful diffusion of bio-technological innovations, following issues are suggested; clusters, alliances competence, core competence, consumer resistance, chasm phenomena, qualitative research, social network, and cross-culture. The better understanding of the diffusion of bio-tech innovations with empirical studies can complement research on the diffusion of bio-technological innovations and help in the development of a universal model for diffusion of high technological innovations.

• Journal of Korea Technology Innovation Society
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• v.14 no.4
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• pp.1050-1072
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• 2011

It is well known that international cooperation is considerably more difficult because of the difference of interests, level of technology of the partners, social and culture as well as various macro-environmental conditions. This case study aims to investigate the success factors of international R&D collaboration between two firms. For it, an in-dept interview was conducted to the Etri-Microsoft Information Security Lab. A comprehensive research on theories, such as resource-based theory, network theory, relationship marketing theory and market power perspective was done as well. The results show clear objectives, communications based on trust, core competence on which the counterpart can rely on, consideration on the government decision process as well as the environment are important for success.

• Journal of the Korea Society of Computer and Information
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• v.24 no.12
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• pp.85-92
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• 2019

Companies can identify user groups or consumption trends by collecting and analyzing opinions of many users on special subjects or their products as well as utilize them as various purposes such as predicting some specific trends or marketing strategies. Therefore current analyzing tools of social media have come into use as a means to measure the performances of social media marketing through network's statistical analysis. However these tools require expensive computing and network resources including burden of costs for building up and operating complex software platforms and much operating know-how. Hence, small companies or private business operators have difficulty in utilizing those social media data effectively. This paper proposes a framework applied into developing analysis system of social media. The framework could be set up and operate the system to extract necessary social media's data. Also to design the system, this study suggests a meta-model of proposed framework and to guarantee completeness and consistency, a formal specification of meta-model by using Z language is suggested. Finally, we could verify the clearness of framework's design by performing Z model checking of formal specification's output through Z-EVES tool.