• Title/Summary/Keyword: 고객서비스기준

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Comparative Analysis for Clustering Based Optimal Vehicle Routes Planning (클러스터링 기반의 최적 차량 운행 계획 수립을 위한 비교연구)

  • Kim, Jae-Won;Shin, KwangSup
    • The Journal of Bigdata
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    • v.5 no.1
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    • pp.155-180
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    • 2020
  • It takes the most important role the problem of assigining vehicles and desigining optimal routes for each vehicle in order to enhance the logistics service level. While solving the problem, various cost factors such as number of vehicles, the capacity of vehicles, total travelling distance, should be considered at the same time. Although most of logistics service providers introduced the Transportation Management System (TMS), the system has the limitation which can not consider the practical constraints. In order to make the solution of TMS applicable, it is required experts revised the solution of TMS based on their own experience and intuition. In this research, different from previous research which have focused on minimizing the total cost, it has been proposed the methodology which can enhance the efficiency and fairness of asset utilization, simultaneously. First of all, it has been adopted the Cluster-First Route-Second (CFRS) approach. Based on the location of customers, we have grouped customers as clusters by using four different clustering algorithm such as K-Means, K-Medoids, DBSCAN, Model-based clustering and a procedural approach, Fisher & Jaikumar algorithm. After getting the result of clustering, it has been developed the optiamal vehicle routes within clusters. Based on the result of numerical experiments, it can be said that the propsed approach based on CFRS may guarantee the better performance in terms of total travelling time and distance. At the same time, the variance of travelling distance and number of visiting customers among vehicles, it can be concluded that the proposed approach can guarantee the better performance of assigning tasks in terms of fairness.

The Relationship between User's Acceptance and Characteristics of Tourism Information Web-Site (웹 사이트 관광정보에 따른 탐색과 수용에 관한 연구)

  • Choi, Hoon;Kim, Su-Yun
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2003.11a
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    • pp.657-671
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    • 2003
  • 정보화 사회에서 관광 웹 사이트는 그 지역의 가치가 있는 관광정보를 제공하고, 관광객을 유치하는 마케팅 도구로서 그 역할이 중요시되고 있다. 또한, 인터넷 정보 수용자는 관광 웹 사이트를 매개로 하여 그 지역에 대한 이미지를 갖게 되고, 점차적으로 일정한 태도를 형성하여 결국 관광지를 선택하는데 영향을 받는다고 볼 수 있다. 지방 자치 단체의 홈페이지에서 관광 홍보가 매우 중요하다. 그 이유는 첫째 인터넷 외에 지역의 관광정보를 여행하기 전에 입수하는 것이 매우 어려운 상황이고, 둘째로, 인터넷을 통한 관광 정보 탐색이 대중화되고 있기 때문이다. 정보탐색은 지속적 탐색이라 표현할 수 있는데 잠재적 관광객이 관광 홈페이지를 매개로 하여 그 지역의 대한 이미지를 갖게 되고 그에 따라 관광지 선택에 영향을 받는다고 볼 수 있다. 하지만, 광역자치단체의 웹사이트 상에서 관광정보를 구축하여 제공할 때에 정보 수용자 측면보다는 개발자 측면 중심으로 이루어진 경우가 많이 있다. 그래서, 막대한 재정적 투자를 통해 개발된 관광정보가 수용자의 욕구에 다소 못 미칠 수 있다. 이에 관광정보 수용자들의 정보탐색 요인을 파악하여 개발할 필요성이 대두되고 있다. 또한, 관광정보 요구자가 관광정보를 탐색할 때 그들의 특성에 따라 관광정보 웹 사이트를 평가하는 기준이 다르게 나타날 수 있다. 이를 기반으로 대학생들이 개인의 특성에 따라 웹 사이트의 평가에 미치는 영향에 대해 분석하고자 한다. 설문지법을 사용하여 전남 D대학교의 관광학 전공, 경영학 전공, IT(정보통신)학 전공 학생을 대상으로 총 90부를 설문조사 하였으며, 각 전공별 학생들을 컴퓨터 실습실에서 1시간 동안 전남도청 관광 웹 사이트를 탐색하게 한 후 설문지에 응답하는 방식을 사용했다. 개인의 특성에 따라서 관광정보 웹 사이트 수용도 에서는 유흥성향과 외향-내향성 성향이 관광정보 웹 사이트의 수용도에 영향을 미친다는 매우 유의하다는 결과를 도출 할 수 있었다. 웹 사이트의 특성에 따라서 관광정보 웹 사이트 수용도 에서는 탐색의 편리성, 정보의 충실성, 정보의 질이 관광정보 수용도 유의적이라는 결과를 도출했다. 하지만, 대고객 서비스에는 관광정보 웹 사이트 수용도에 대한 영향이 유의적이지 못한 결과를 보이고 있는데, 이를 위해서는 사용자에게 개별서비스 제공을 함으로서, 동영상이나 각종 사운드, 사용자 편의를 위한 관련정보 다운로드, 사용자를 고려한 부과서비스를 제공한다면 웹 사이트의 성과가 높을 것임을 기대할 수 있다.

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Research on the Use of Logistics Centers in Idle site on Highway Using Social Network Analysis (사회연결망 분석을 활용한 고속도로 유휴부지의 물류센터 활용 방안에 관한 연구)

  • Gong, InTaek;Shin, KwangSup
    • The Journal of Bigdata
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    • v.6 no.1
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    • pp.1-12
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    • 2021
  • The rapid growth of mobile-based online shopping and the appearance of untact business initiated by COVID-19 has led to an explosive increase in demand for logistics services such as delivery services. In order to respond to the rapidly growing demand, most logistics and distribution companies are working to improve customer service levels through the establishment of a full-filament center in the city center. However, due to social factors such as high land prices and traffic congestion, it becomes more difficult to establish the logistics facilities in the city center. In this study, it has been proposed the way to choose the candidate locations for the shared distribution centers among the space nearby the tall-gate which can be idle after the smart tolling service is widely extended. In order to evaluate the candidate locations, it has been evaluated the centralities of all candidates using social network analysis (SNA). To understand the result considering the characteristics of centrality, the network structure was regenerated based on the distance and the traveling time, respectively. It is possible to refer the result of evaluation based on the cumulative relative importance to choose the best set of candidates.

A Study on Optimization of Picking Facilities for e-Commerce Order Fulfillment (온라인 주문 풀필먼트를 위한 물류센터 피킹 설비 최적화에 대한 연구)

  • Kim, TaeHyun;Song, SangHwa
    • The Journal of Society for e-Business Studies
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    • v.26 no.1
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    • pp.67-78
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    • 2021
  • The number of domestic e-commerce transactions has been breaking its own record by an annual average growth rate of over 20% based on volume for the past 5 years. Due to the rapid increase in e-commerce market, retail companies that have difficulty meeting consumers in person are in fierce competition to take the lead in the last mile service, which is the only point of contact with customers. Especially in the delivery area, where competition is most intense, the role of the fulfillment center is very important for service differentiation. It must be capable of fast product preparation ordered by consumers in accordance with the delivery service level. This study focuses on the order picking system for rapid order processing in the fulfillment center as an alternative for companies to gain competitive advantage in the e-commerce market. A mixed integer programming model was developed and implemented to optimize the stock replenishment in order picking facilities. The effectiveness was scientifically and objectively verified by simulation using the actual operation process and data.

Development of a System for UX Analysis of Financial Mobile App Review Data and Its Verification (금융 모바일 앱 리뷰 데이터의 UX 분석을 위한 시스템 개발 및 검증)

  • Jiye Hyeon;Yeongmin Son;Jae Wan Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.755-761
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    • 2023
  • As digital transformation accelerates, the proportion of non-face-to-face services in financial services is also increasing. Recently, user experience has emerged to secure competitiveness in mobile services, and analysis techniques to improve user experience have emerged. User review data, one of the data used for quantitative evaluation, contains a lot of unnecessary information, which is time-consuming to derive improvement directions. Therefore, this study aims to develop a UX analysis system based on the hierarchy of UX needs by using a cosine similarity algorithm and analyze user review data of Kookmin Bank, Woori Bank, Kakao Bank, and Toss for verification. This study proved that the developed UX analysis system is a system that can effectively analyze UX through the analysis of user review data. The system of this study is expected to be easily used to identify improvement plans for the hierarchy of UX needs in an agile organization that needs to quickly reflect customer feedback.

The Fuzzy QFD Approach to Importance the Public Sector Information Performance Measurement Category (퍼지 QFD를 활용한 공공부문 정보화 성과 측정범주 중요도 도출)

  • Oh, Jin-Seok;Song, Young-Il
    • Information Systems Review
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    • v.12 no.2
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    • pp.189-203
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    • 2010
  • Is presenting guidance of information performance measurement as government PRM version 2.0 these common reference models in public sector. Government PRM is consisted of assessment classification system and standard line of sight and performance management standard form. Through this, is sorting performance element and define cause-and effect. Government PRM is supplying measurement categories at assessment classification system, but relative importance for application standard by measurement categories is not presenting. In this study, importance for government PRM's measurement categories been applying by commonness Test of information performance measurement of public sector wishes to deduce estimation and priority. Research model used Fuzzy QFD, and designed so that can reflect well PRM's development purpose. I applied Fuzzy AHP and FPP method that graft together fuzzy theory to minimize uncertainty and ambiguity in that expert opinion. Is drawn to element that "Standard model offer for information department and management" is the most important in government PRM's development purpose. "Quality of service" is showing the highest priority in customer results in measurement category. Importance for government PRM's measurement categories can offer common valuation basis in government and public institution. Hereafter if examine closely quantitative cause-and effect for structure model of measurement classification system when study government PRM more objective and efficient reference model become.

From a Defecation Alert System to a Smart Bottle: Understanding Lean Startup Methodology from the Case of Startup "L" (배변알리미에서 스마트바틀 출시까지: 스타트업 L사 사례로 본 린 스타트업 실천방안)

  • Sunkyung Park;Ju-Young Park
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.18 no.5
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    • pp.91-107
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    • 2023
  • Lean startup is a concept that combines the words "lean," meaning an efficient way of running a business, and "startup," meaning a new business. It is often cited as a strategy for minimizing failure in early-stage businesses, especially in software-based startups. By scrutinizing the case of a startup L, this study suggests that lean startup methodology(LSM) can be useful for hardware and manufacturing companies and identifies ways for early startups to successfully implement LSM. To this end, the study explained the core of LSM including the concepts of hypothesis-driven approach, BML feedback loop, minimum viable product(MVP), and pivot. Five criteria to evaluate the successful implementation of LSM were derived from the core concepts and applied to evaluate the case of startup L . The early startup L pivoted its main business model from defecation alert system for patients with limited mobility to one for infants or toddlers, and finally to a smart bottle for infants. In developing the former two products, analyzed from LSM's perspective, company L neither established a specific customer value proposition for its startup idea and nor verified it through MVP experiment, thus failed to create a BML feedback loop. However, through two rounds of pivots, startup L discovered new target customers and customer needs, and was able to establish a successful business model by repeatedly experimenting with MVPs with minimal effort and time. In other words, Company L's case shows that it is essential to go through the customer-market validation stage at the beginning of the business, and that it should be done through an MVP method that does not waste the startup's time and resources. It also shows that it is necessary to abandon and pivot a product or service that customers do not want, even if it is technically superior and functionally complete. Lastly, the study proves that the lean startup methodology is not limited to the software industry, but can also be applied to technology-based hardware industry. The findings of this study can be used as guidelines and methodologies for early-stage companies to minimize failures and to accelerate the process of establishing a business model, scaling up, and going global.

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Open Skies Policy : A Study on the Alliance Performance and International Competition of FFP (항공자유화정책상 상용고객우대제도의 제휴성과와 국제경쟁에 관한 연구)

  • Suh, Myung-Sun;Cho, Ju-Eun
    • The Korean Journal of Air & Space Law and Policy
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    • v.25 no.2
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    • pp.139-162
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    • 2010
  • In terms of the international air transport, the open skies policy implies freedom in the sky or opening the sky. In the normative respect, the open skies policy is a kind of open-door policy which gives various forms of traffic right to other countries, but on the other hand it is a policy of free competition in the international air transport. Since the Airline Deregulation Act of 1978, the United States has signed an open skies agreement with many countries, starting with the Netherlands, so that competitive large airlines can compete in the international air transport market where there exist a lot of business opportunities. South Korea now has an open skies agreement with more than 20 countries. The frequent flyer program (FFP) is part of a broad-based marketing alliance which has been used as an airfare strategy since the U.S. government's airline deregulation. The membership-based program is an incentive plan that provides mileage points to customers for using airline services and rewards customer loyalty in tangible forms based on their accumulated points. In its early stages, the frequent flyer program was focused on marketing efforts to attract customers, but now in the environment of intense competition among airlines, the program is used as an important strategic marketing tool for enhancing business performance. Therefore, airline companies agree that they need to identify customer needs in order to secure loyal customers more effectively. The outcomes from an airline's frequent flyer program can have a variety of effects on international competition. First, the airline can obtain a more dominant position in the air flight market by expanding its air route networks. Second, the availability of flight products for customers can be improved with an increase in flight frequency. Third, the airline can preferentially expand into new markets and thus gain advantages over its competitors. However, there are few empirical studies on the airline frequent flyer program. Accordingly, this study aims to explore the effects of the program on international competition, after reviewing the types of strategic alliance between airlines. Making strategic airline alliances is a worldwide trend resulting from the open skies policy. South Korea also needs to be making open skies agreements more realistic to promote the growth and competition of domestic airlines. The present study is about the performance of the airline frequent flyer program and international competition under the open skies policy. With a sample of five global alliance groups (Star, Oneworld, Wings, Qualiflyer and Skyteam), the study was attempted as an empirical study of the effects that the resource structures and levels of information technology held by airlines in each group have on the type of alliance, and one-way analysis of variance and regression analysis were used to test hypotheses. The findings of this study suggest that both large airline companies and small/medium-size airlines in an alliance group with global networks and organizations are able to achieve high performance and secure international competitiveness. Airline passengers earn mileage points by using non-flight services through an alliance network with hotels, car-rental services, duty-free shops, travel agents and more and show high interests in and preferences for related service benefits. Therefore, Korean airline companies should develop more aggressive marketing programs based on multilateral alliances with other services including hotels, as well as with other airlines.

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Insights from the Compulsory Licensing and the Approved Contractor Scheme of the UK Private Security (영국의 민간경비 의무적 자격증 및 인증계약자 제도에 관한 연구)

  • Lee, Seong-Ki;Kim, Hak-Kyong
    • Korean Security Journal
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    • no.30
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    • pp.85-115
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    • 2012
  • The private security industry has expanded in proportion to economic developments throughout the world, largely because the existing security services provided by the government do not satisfy demands of various economic entities and people in the society for better security service. Therefore, it would not be unfair to say that security services by private sectors are decided by its quality, price, and customers' needs. A refined management system, however, is essential to assess qualification of security companies and their service quality, given the nature of public goods of security service. Despite the steady growth of private security industry in Korea, however, it has been continuously criticized that its security management system for better qualification of security guards, training, and private security companies have not been fully updated enough to guarantee good quality. This paper aims to gain insights to effective policy formation in the Korean private security industry, through reviewing the licensing system of private security guards and the Approved Contractor Scheme (hereinafter the ACS) in the UK- that has on one hand systematically regulated private security industry, but on other hand has enforced public-private cooperation by laying significant stress on autonomy of private security companies. The distinctive characteristic of the UK policy for the private security is that the Security Industry Authority (hereinafter the SIA), an independent authority, is leading development of the private security industry of the UK through specialized private security regulation and enhanced service quality. In addition, the UK is developing quality of security service with transparent financial management and recruitment of good quality security guards by adopting not only substantially specified regulations and standards, but the voluntary ACS system. Moreover, the SIA analyzes customers' demands for security service specializing the policy for private security through conducting a variety of surveys. With the analysis of the UK private security system, this paper suggests that the Korean government change from a non-specialized private security regulation system by the National Police Agency to an independently specialized private security authority like the SIA and adopt the compulsory licensing and the ACS system of the UK.

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Automatic Classification of Frequently Asked Questions Using Class Embedding and Attentive Recurrent Neural Network (클래스 임베딩과 주의 집중 순환 신경망을 이용한 자주 묻는 질문의 자동 분류)

  • Jang, Youngjin;Kim, Harksoo;Kim, Sebin;Kang, Dongho;Jang, Hyunki
    • Annual Conference on Human and Language Technology
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    • 2018.10a
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    • pp.367-370
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    • 2018
  • 웹 또는 모바일 사용자는 고객 센터에 구축된 자주 묻는 질문을 이용하여 원하는 서비스를 제공받는다. 그러나 자주 묻는 질문은 사용자가 직접 핵심어를 입력하여 검색된 결과 중 필요한 정보를 찾아야 하는 어려움이 있다. 이러한 문제를 해결하기 위해 본 논문에서는 사용자 질의를 입력 받아 질의에 해당하는 클래스를 분류해주는 문장 분류 모델을 제안한다. 제안모델은 웹이나 모바일 환경의 오타나 맞춤법 오류에 대한 강건함을 위해 자소 단위 합성곱 신경망을 사용한다. 그리고 기계 번역 이외에도 자연어 처리 부분에서 큰 성능 향상을 보여주는 주의 집중 방법과 클래스 임베딩을 이용한 문장 분류 시스템을 사용한다. 457개의 클래스 분류와 769개의 클래스 분류에 대한 실험 결과 Micro F1 점수 기준 81.32%, 61.11%의 성능을 보였다.

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