• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.221-238
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• 2019

Recently, companies and public institutions have been actively introducing chatbot services in the field of customer counseling and response. The introduction of the chatbot service not only brings labor cost savings to companies and organizations, but also enables rapid communication with customers. Advances in data analytics and artificial intelligence are driving the growth of these chatbot services. The current chatbot can understand users' questions and offer the most appropriate answers to questions through machine learning and deep learning. The advancement of chatbot core technologies such as NLP, NLU, and NLG has made it possible to understand words, understand paragraphs, understand meanings, and understand emotions. For this reason, the value of chatbots continues to rise. However, technology-oriented chatbots can be inconsistent with what users want inherently, so chatbots need to be addressed in the area of the user experience, not just in the area of technology. The Fourth Industrial Revolution represents the importance of the User Experience as well as the advancement of artificial intelligence, big data, cloud, and IoT technologies. The development of IT technology and the importance of user experience have provided people with a variety of environments and changed lifestyles. This means that experiences in interactions with people, services(products) and the environment become very important. Therefore, it is time to develop a user needs-based services(products) that can provide new experiences and values to people. This study proposes a chatbot development process based on user needs by applying the design thinking approach, a representative methodology in the field of user experience, to chatbot development. The process proposed in this study consists of four steps. The first step is 'setting up knowledge domain' to set up the chatbot's expertise. Accumulating the information corresponding to the configured domain and deriving the insight is the second step, 'Knowledge accumulation and Insight identification'. The third step is 'Opportunity Development and Prototyping'. It is going to start full-scale development at this stage. Finally, the 'User Feedback' step is to receive feedback from users on the developed prototype. This creates a "user needs-based service (product)" that meets the process's objectives. Beginning with the fact gathering through user observation, Perform the process of abstraction to derive insights and explore opportunities. Next, it is expected to develop a chatbot that meets the user's needs through the process of materializing to structure the desired information and providing the function that fits the user's mental model. In this study, we present the actual construction examples for the domestic cosmetics market to confirm the effectiveness of the proposed process. The reason why it chose the domestic cosmetics market as its case is because it shows strong characteristics of users' experiences, so it can quickly understand responses from users. This study has a theoretical implication in that it proposed a new chatbot development process by incorporating the design thinking methodology into the chatbot development process. This research is different from the existing chatbot development research in that it focuses on user experience, not technology. It also has practical implications in that companies or institutions propose realistic methods that can be applied immediately. In particular, the process proposed in this study can be accessed and utilized by anyone, since 'user needs-based chatbots' can be developed even if they are not experts. This study suggests that further studies are needed because only one field of study was conducted. In addition to the cosmetics market, additional research should be conducted in various fields in which the user experience appears, such as the smart phone and the automotive market. Through this, it will be able to be reborn as a general process necessary for 'development of chatbots centered on user experience, not technology centered'.

• The Journal of Society for e-Business Studies
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• v.19 no.4
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• pp.73-99
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• 2014

Recently, big data have been studied ways to use in various fields. Big data refers to huge amounts of data that could not be addressed by conventional methods. Big data has attracted attention for improving accuracy of decision-making, forecasting in the near future, and creation of new business. In this study, it is an object to develop the utilization plan for big data in the field of technology commercialization. For this reason, we conducted study like case studies, literature review and focus group interview. We have derived the big data utilization plan based on this in the technology commercialization field. It, the data utilization plan, combines with the technology commercialization process of Jolly and it has five sub processes (Imagining, Incubating, Demonstrating, Promoting, Sustaining). In this paper, there is a significance that has emphasized the possibility for big data utilization in the technology commercialization. However, there is a limit to the general interpretation for our study. And we hope to contribute to the expansion of areas of technology commercialization information analysis through this research.

• Journal of the Korea Society for Simulation
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• v.23 no.3
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• pp.1-9
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• 2014

Traditional workflow time analyses have been performed treating an activity as an independent M/M/1queueing system. Using the general forms of performance measures in the M/M/1 system, various aspects of analyses can be performed. Especially, on the time analysis of an AND structure in a workflow system, the mean system sojourn time can be formalized by applying the performance measures of M/M/1 system. In the real workflow system, the AND structure cannot be described correctly under the assumption of independent M/M/1 systems. To overcome this limitation, this research makes the assumption that the all activities for a task starts simultaneously. In this situation, the theoretical solution can be derived using the performance measures of the M/G/1 system. In addition, the simulation modeling method will be proposed to analyze the AND structure of a real workflow system. Finally, some numerical results from the theoretical solutions and simulation models will be provided for verification. The main performance measures used in this research are mean queueing time and mean sojourn time.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.126-129
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• 2000

무한경쟁시대를 맞이하여 세계는 고 부가가치 경제구조로 전환이 빨라지고 있는 이 시점에서, 대기업을 중심으로 한 성장프라이드 정책에 의해 진행되어온 우리 경제구조가 IMF구제 금융을 받아들임으로써 그 한계를 들어내고 이에 대한 대안으로 떠 오른 것이 벤처기업이다. 벤처기업은 정보동신, 소프트웨어, 첨단산업분야를 주요 사업 영역으로 삼고 있으면, 첨단 고 부가가치 기술을 보유하고 있기 때문에 이에 정보통신부는 정보통신분야의 벤처기업에 대한 투자자금 공급기반을 확충하기 위해 2002년까지 총 4,000억원 정도의 정보통신 벤처기업 투자펀드를 조성할 계획이다. 이처럼 벤처기업의 중요성이 부각되고 있는 이 시점에서 이에 대한 공정하고 엄격한 성과측정이 중요시되고 있다. 경제성 평가모형과 관련한 연구는 재무적인 측면과 비재무적인 측면으로 구분하여 진행되어 왔으며, 본 연구에서는 비재무적 측면의 BSC(Balanced Score Card)를 가지고 경제성을 평가하려 한다. BSC는 기존의 재무적 실과지표 뿐만 아니라 고객관점, 내부 경영프로세스관점, 학습과 성장관점의 4가지 차원에서 통합적인 성과평가가 가능한 모형이다. 이를 위해 국내정보통신 벤처기업들을 대상으로 FGI(Focus Group Interview)를 실시하여 경제성 평가모형 구축에 필요한 항목들을 찾아내고 이를 바탕으로 경제성 분석 모형을 개발하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.271-274
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• 2005

현재 무선인터넷의 중요성이 강조되면서 모바일 단말 장치는 모바일 비즈니스 프로세스에서 중요한 역할을 담당한다. 특히 모바일 장비는 차세대 기술인 임베디드와 유비쿼터스 컴퓨팅의 주요 단말 장치이며 개발 대상이다. 앞으로 차세대 이동통신망 중심의 융합 및 이동 단말의 컴퓨팅 능력이 고도화되면 언제, 어디서나, 누구와도 모든 정보를 이용할 수 있는 고속 멀티미디어 통신 환경 즉, 유비쿼터스 환경이 구축될 것이며 향후 이러한 환경에서 모바일 컨버전스 서비스는 특정 시점의 사용자 상황에 적절한 서비스를 제공하는 상황인식의 특성을 가지게 될 것이다. 따라서, 본 논문에서는 모바일 컨버전스를 위한 상황인식 에이전트 개발을 위한 컴퓨팅 아키텍처를 정의하고 개발을 용이하기 위해 재사용 가능한 컴포넌트를 기반으로 하여 모바일 컨버전스에 대한 분석 및 설계에 관하여 제시하였다. 이를 통해 모바일 환경에서 재사용성 및 이식성과 에이전트 개발에 대한 시간과 비용에 대한 절감을 기대할 수 있다.

• 한국벤처창업학회:학술대회논문집
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• 2021.04a
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• pp.165-170
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• 2021

최근의 코로나19 사태로 관광·항공업계가 극심한 어려움을 겪고 있다. 항공업계의 대안 중 하나는 화물운송이다. 항공사들은 여객수요 급감으로 인한 매출감소 폭을 줄이기 위하여 화물운송 부문을 강화하고 있다. 항공화물운송은 타 운송과 구분되는 제반 특성으로 인하여 시장규모가 지속적으로 증가하고 있다. 항공화물운송 대리점(forwarder)은 수출과 수입에 있어서 중요한 역할을 담당하며, 중요한 비즈니스 파트너인 항공사와 수출입자와 우호적인 긴밀한 관계를 구축하고 계속 유지해야 한다. 사회적 교환이론(social exchange theory)은 이러한 관계가 구축되기 위해서는 거래당사자 간의 거래규모나 거래기간, 거래빈도 등의 유형적인 측면도 중요하지만, 신뢰와 몰입, 애착 등의 무형적인 측면의 교환이 선행되어야 한다는 것을 강조한다. 본 연구의 연구목적은 다음과 같다. 첫째, 물류서비스기업의 업무 프로세스를 규명하고 운송기업 및 화주기업과의 사회적 교환행동은 어떻게 이루어지는지 조사한다. 둘째, 이러한 사회적 교환행동이 물류서비스기업의 다양한 경영성과에 얼마나 영향을 미치는지를 분석한다. 셋째, 각 구성원 간의 관계기간에 따라서 이러한 영향력이 달라지는지를 살펴본다. 특히 본 연구는 많은 기존연구에서 구분되었던 신뢰(trust)와 몰입(commitment) 개념을 통합함으로써 연구모형의 간결성(parsimony)과 실용가능성(practicality)을 제고하고자 한다. 결과적으로 본 연구는 운송기업 및 화주기업에 대한 물류서비스기업의 사회적 행동이 신뢰에 기반한 우호적인 관계를 구축하는지, 경영성과에는 어떤 영향을 미치는지를 실증적으로 살펴보고, 관계기간의 조절효과를 규명함으로써 학문적으로나 실무적으로 유용한 시사점을 제공할 수 있으며, 창업 물류서비스기업에 유용한 가이드라인을 제시할 수 있을 것이다.

• Management & Information Systems Review
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• v.39 no.3
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• pp.17-35
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• 2020

The purpose of this study is to develop business models for current situational scenarios reflecting customer needs emphasize the need for implementing a logistics cooperation system by analyzing big data to strengthen SCM competitiveness capacities. For healthcare SCM competitiveness needed for the logistics cooperation usage intent, they were divided into product quality, price leadership, hand-over speed, and process flexibility for examination. The wordcloud results that analyzed major considerations to realize work efficiency between medical institutes, words like unexpected situations, information sharing, delivery, real-time, delivery, convenience, etc. were mentioned frequently. It can be analyzed as expressing the need to construct a system that can immediately respond to emergency situations on the weekends. Furthermore, in addition to pursuing communication and convenience, the importance of real-time information sharing that can share to the efficiency of inventory management were evident. Accordingly, it is judged that it is necessary to aim for a business model that can enhance visibility of the logistics pipeline in real-time using big data analysis on site. By analyzing the effects of the adaptability of a supply chain network for healthcare SCM competitiveness, it was revealed that obtaining competitive capacities is possible through the implementation of logistics cooperation. Stronger partnerships such as logistics cooperation will lead to SCM competitive capacities. It will be necessary to strengthen SCM competitiveness by searching for a strategic approach among companies in a direction that can promote mutual partnerships among companies using the joint logistics system of medical institutes. In particular, it will be necessary to search for ways to utilize HCSM through big data analysis according to the construction of a logistics cooperation system.

• The Korean Journal of Applied Statistics
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• v.37 no.1
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• pp.87-102
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• 2024

Digital transformation refers to the process by which a company or organization changes or innovates its existing business model or sales activities using digital technology. This requires the use of various digital technologies - cloud computing, IoT, artificial intelligence, etc. - to strengthen competitiveness in the market, improve customer experience, and discover new businesses. In addition, in order to derive knowledge and insight about the market, customers, and production environment, it is necessary to select the right data, preprocess the data to an analyzable state, and establish the right process for systematic analysis suitable for the purpose. The usefulness of such digital data is determined by the importance of pre-processing and the correct application of exploratory data analysis (EDA), which is useful for information and hypothesis exploration and visualization of knowledge and insights. In this paper, we reexamine the philosophy and basic concepts of EDA and discuss key visualization information, information expression methods based on the grammar of graphics, and the ACCENT principle, which is the final visualization review standard, for effective visualization.

• Information Systems Review
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• v.14 no.1
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• pp.37-65
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• 2012

This research aims to design and analyze a ubiquitous customer relationship management system based on near field communication which can be applied to stores in off-line environment. The existing customer relationship management system has been used mainly for stores in off-line environment to issue a royalty card, to stamp a seal on the purchase goods, and to manage the history of customers' visits and purchases. But, the existing system has two weaknesses; it makes difficult for a store manger not only to acquire a wealth of customer data but also to systematically manage the acquired data. In particular, the effectiveness and efficiency of the royalty card are questioned when a customer makes purchases in the store in that the customer frequently does not carry it or loses it. So, this research suggests a ubiquitous customer relationship management system where a tag for near field communications is attached to a store in off-line environment; a store manager can collect and manage easily customer's dada and customers can seamlessly acquire store's information. To do this, this research conducts the followings. First, we review the previous researches of customer relationship management to examine the concept of ubiquitous customer relationship management. Second, from the examination, we draw the factors to be considered in ubiquitous customer relationship management system based on near field communication. Third, we propose a scenario where the suggested system is used. Fourth, we analyze the participants' values and the process that will be used for the suggested system. Finally, we discuss the possibility of the application of this system to real business environment from various viewpoints.

• The Journal of Society for e-Business Studies
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• v.10 no.2
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• pp.133-150
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• 2005

Electronic Trade is dramatically changing classical international trade paradigms. In particular, under the new economic environment, the ability to utilize and Information Technologies such as Electronic Data Interchange, Web-based EDI, ebXML, web service, Internet are emerging as an important factor in deciding the competitiveness of export business. The primary purpose of this study is (1) to investigate motivation factors and performance factors of electronic trade, (2) to show the relationship between motivation factors and the level of the utilization of e-trade, (3) to reveal the relationship between the level of the utilization and performance factors of e-trade. Analysis of survey questionnaire of Korean middle and small companies indicates the following : (1) motivation factors such as cost factor, education and promotion and the search of new market, have positive effect on the level of utilization of e-trade. (2) the level of utilization of e-trade has positive effect on the performance factors such as cost factor, the search of new market, the improvement of task process.