• 산업경영시스템학회지
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• 제33권3호
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• pp.114-122
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• 2010

The Probabilistic Traveling Salesman Problem (PTSP) is an important topic in the study of traveling salesman problem and stochastic routing problem. The goal of PTSP is to find a priori tour visiting all customers with a minimum expected length, which simply skips customers not requiring a visit in the tour. There are many existing researches for the homogeneous version of the problem, where all customers have an identical visiting probability. Otherwise, the researches for the heterogeneous version of the problem are insufficient and most of them have focused on search base algorithms. In this paper, we propose a simple construction algorithm to solve the heterogeneous PTSP. The Minimum Expected Length Insertion (MELI) algorithm is a construction algorithm and consists of processes to decide a sequence of visiting customers by inserting the one, with the minimum expected length between two customers already in the sequence. Compared with optimal solutions, the MELI algorithm generates better solutions when the average probability is low and the customers have different visiting probabilities. We also suggest a local search method which improves the initial solution generated by the MELI algorithm.

• International Journal of Internet, Broadcasting and Communication
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• 제15권1호
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• pp.40-55
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• 2023

Currently, convenience stores, which are naturally located within a 1-minute walk, are easily accessible, so customers can easily purchase the items they need, and now they are indispensable places for people. In line with modern society that focuses on buying and selling goods quickly and easily, such as 'convenience' and 'quickness', convenience stores also have been changing by marketing such as home-delivery service and storage of fresh products, not just simply selling goods. In addition, by utilizing application software, we can use everything with one smartphone that we use a lot, in order to provide reservation delivery, pickup, and subscription services. In this study, we conducted experiments focusing on the factors of convenience store service quality and users using convenience stores, and examined how these experiments affect behavioral intentions of customers through their emotional responses. As a result, it was confirmed that empathy had a positive (+) effect on the pleasure of customers, and reliability had a negative (-) effect on arousal. In addition, it was found that empathy had a positive (+) effect on arousal, and responsiveness and empathy had a positive (+) effect on dominance. Finally, it was found that pleasure and dominance had a positive (+) effect on the loyalty of customers. In this study, we intend to provide basic data on existing or future convenience stores.

• 유통과학연구
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• 제16권2호
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• pp.47-51
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• 2018

Purpose - Typically, retailers will want PB(Private Brand) products to expand to the needs of low-PB loyal customers as well as existing PB(Private Brand) loyal customers. Therefore, a strategy of minimizing the share of the manufacturer brand in the distributor can be considered as a way to maximize the profit of the distributor. Research design, data, and methodology - In the previous study, the researches about the rivalry and conflict between the NB(National Brand) products and the PB products were mainly made. Previous studies did not model inter-national brand-level competition and inter-store competition. In addition, they have focused only on distributors' decisions from the manufacturer's perspective, and assume channel members have the same level of members(Choi, 1996). Results - This paper tries to apply the game theory to researches on how retailers can maximize the benefits of distributing NB(National Brand) products and PB(Private Brand) products, while distributors can also take advantage of their profits. Conclusions - It was found that providing cheap PBs did not help manufacturers and distributors. Distributors and manufacturers' profits were determined by consumers who purchased NB products that were higher in price and higher in perceived quality before providing existing PB products to consumers.

• 한국유통학회지:유통연구
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• 제9권2호
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• pp.29-43
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• 2004

본 연구에서는 다채널 전략의 의의를 고객관계관리 측면에서 분석하였다. 다채널의 도입으로 기존 고객의 구매빈도와 구매금액, 그리고 구매수량이 유의적으로 증가하였는지를 실증 분석한 결과 구매빈도와 구매금액, 구매수량 모두 유의적으로 증가한 것을 확인하였다. 이러한 결과는 다채널 전략이 고객의 생애가치 (customer lifetime value)를 높이는데 기여했음 것을 시사하고 있다. 다만, 다채널의 도입에도 불구하고 단일채널을 고집하는 고객이 여전히 많은 상황에서 이들이 다채널을 사용하도록 유도하는 전략이 주요 과제로 지적되었다.

• 융합경영연구
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• 제11권5호
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• pp.29-44
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• 2023

Purpose: This study analyzed the effect of the perceived value of the OTT platform on consumers' technology acceptance, continuous use intention, and WOM using the Expanded TAM. Research design, data and methodology: A survey was conducted targeting OTT platform users in their 20s to 40s nationwide from August 10 to 16, 2022, and a total of 208 people were used in the final analysis. To verify the research model, frequency analysis, CFA, and SEM analysis were performed using SPSS and AMOS. Results: First, the perceived value of the OTT platform was found to have a positive effect on consumers' technology acceptance (perceived usefulness, perceived ease of use, and perceived enjoyment). Second, the perceived ease of use of OTT platform consumers was found to have a positive effect on perceived usefulness and perceived enjoyment. Third, it was found that the perceived usefulness and perceived enjoyment of OTT platform consumers had a positive effect on the continuous use intention, and WOM. Fourth, it was found that the continuous use intention the OTT platform had a positive effect on the WOM. Conclusions: Word of mouth and continuous use of existing customers are important for OTT platform companies to retain existing customers and secure new customers. Through the perceived value of the OTT platform, efforts should be made to provide various contents that consumers can enjoy along with usefulness and convenience of functions.

• 정보학연구
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• 제3권1호
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• pp.99-115
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• 2000

본 논문은 국내전자상거래의 활성화를 위하여 전자상거래를 이용하는 소비자의 성향과 이용행태에 대한 실증분석을 통하여, 향후 전자상거래에 진입하고자하는 기업과 기존의 기업에 대하여 방향설정에 유용한 기초자료를 제공하는데 그 목적이 있다.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2003년도 추계학술대회 및 정기총회
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• pp.211-214
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• 2003

Recently mobile SFA(Sales Force Automation) system makes rapidly progress specially in industries like insurance, manufacture, and distribution. However, there are some problems that information about products and trades is not promptly shared among sales agents or customers, since the current mobile SFA system has simply extended the existing systems for sales management. In order to improve these weaknesses, we introduce LBS(Location Based Service) and mobile P2P(Peer to Peer) service into the existing systems, then design and implement the enhanced system (or mobile SFA using them. Through this improvement, our system makes it possible for customers or sales agents to quickly share various information and increases the efficiency of sales activity by facilitating the competition and cooperation among sales agents and reducing time-cost.

• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 2004년도 e-Biz World Conference
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• pp.239-250
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• 2004

The preference of customers change as time goes by. The existing Collaborative Filtering (CF) techniques has no room for including this change yet, although these techniques have been known to be the most successful recommendation technique that has been used in a number of different applications. In this study, we proposed a new methodology for enhancing the quality of recommendation using the customers' dynamic behaviors over time. The proposed methodology is applied to a large department store in Korea, compared to existing CF techniques. Some experiments on the real world data show that the proposed methodology provides higher quality recommendations than other CF techniques, especially better performance on heavy users.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2004년도 추계학술대회
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• pp.331-339
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• 2004

The preferences of customers change over time. However, existing collaborative filtering (CF) systems are static, since they only incorporate information regarding whether a customer buys a product during a certain period and do not make use of the purchase sequences of customers. Therefore, the quality of the recommendations of the typical CF could be improved through the use of information on such sequences. In this paper, we propose a new methodology for enhancing the quality of CF recommendation that uses customer purchase sequences. The proposed methodology is applied to a large department store in Korea and compared to existing CF techniques. Various experiments using real-world data demonstrate that the proposed methodology provides higher quality recommendations than do typical CF techniques, with better performance, especially with regard to heavy users.

• 유통과학연구
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• 제17권10호
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• pp.5-15
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• 2019

Purpose - Compared with the past when customers regarded a price factor as one of the most important criteria when choosing a retailer as a shopping destination, they seem to show different attitudes toward retailers in recent. This research, therefore, aims to explore how Korean customers respond to the CSR business activities provided by retailers. Research design, data, and methodology - The authors have developed the 6 hypotheses based on the literature review and adopted the 4 hypotheses after removing the 2 hypotheses through discriminant validity analysis. Results - Amongst the 4 hypotheses selected, H1 (community support), H3 (environment protection) and H6 (trading with unethical suppliers) related to a retailer's CSR business practices are accepted, whilst H4 (product issues) is rejected. Surprisingly, Korean customers are not interested in a product safety issue, when deciding a shopping store. Conclusions - Rather than emphasizing cheaper prices to attract new customers or maintain existing ones, it is demonstrated through the research that retailers have to pay their attention to their CSR activities. For a retailer's CSR practices, the retailer's social role has become more important than ever before, from a customer's point of view.