• 디지털산업정보학회논문지
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• 제11권4호
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• pp.13-24
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• 2015

Customer complaints handling helps organizations to retain existing customers and attract new customers, as well. As Voice of the Customer (VOC) is one of the main sources of customer complaints, many organizations utilize VOC to enhance customer satisfaction. Effective management of VOC has been proved as one of the best ways to maintain organization's brand image and reputation. In spite of its importance, little has been reported on the utilization of VOC to detect faults in a telecommunication industry. In this paper, association rule mining based on VOC is used to identify root fault causes of a telecommunications network. To do that, VOC of a Communication Service Provider has been collected first. Then, association rule mining has also been conducted with various support and confidence levels. As a result, root fault causes of the telecommunications network can be identified. It is expected that this study can be used as a basis for decisions about customer satisfaction management such as preventive maintenances or reduction of the customer maintenance cost.

• 경영과정보연구
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• 제4권
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• pp.557-572
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• 2000

Nowadays, after beginning of 21 centuries, owing to simplify market, the world is in the era of an influx of new paradigm that requires infinite competition. The manufacturing industries of Korea are in need of casting off high cost and low efficiency structure. The forfeiture of competition is resulted from the lost of level in quality of product. Today, the achievement of competitive product quality is coming from the following factors, that is., quality control, quality of service, marketing, human resources, finance, etc., together with process management. While Six Sigma, a newly introduced method to achieve process qualify outcome by sector of enterprise, is now being enjoyed a high reputation as a key device for competition by superiority enterprises in the United States, it has not been introduced sufficiently in the domestic enterprises yet. In our research, we, first of all, organized systematically the materials being released up to now. Furthermore, we looked over case studies of the American enterprises that apply Six Sigma strategy very successfully. Finally, we discussed the situation of domestic enterprises which are about to importing Six Sigma strategy as well as main causation of success by adopting it. While the enterprises approach Six Sigma strategy not in the way of on time and short term but in the way of long term, consistent renovation and persistent innovation we can assure that they will produce the highest quality and globally competitive products which are second to none.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권1호
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• pp.5-23
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• 2012

Nowadays, most researchers and manufacturers always pay attention on wireless sensor networks (WSNs) due to its potential applications in many regions such as military, industrial and civilian areas. WSNs are the basic components of Internet of Things (IoT) and the key to machine-to-machine communications and the future Internet. Also, the security is an essential element for deploying WSNs. Recently the concept of trust-based mechanism was proposed in WSNs such as traditional cryptographic and authentication mechanisms. However, there is lack a survey on trust management for WSNs, IoT even future Internet. In this paper, we discuss the concept and potential application areas of trust management for WSNs and IoT worlds. Furthermore, we survey different trust management issues (i.e., cluster, aggregation, reputation). Finally, future research directions with respect to trust management in WSNs and future IoT world are provided. We give not only simple WSNs for IoT environments but also a simulated bootstrap platform to provide the discussion of open challenges and solutions for deploying IoT in Future Internet.

• 융합경영연구
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• 제10권6호
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• pp.47-57
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• 2022

Purpose: This study explored the relationship between product characteristics and customer purchase intention in cross-border online shopping. Research design, data, and methodology: Through literature review, the research model of product characteristics and consumers' purchase intention is constructed, and trust is taken as a medium variable. Based on the survey data of Chinese consumers, empirical analysis and hypothesis verification are conducted. This study used SPSS version 21 to confirm the reliability and validity of the research model. To confirm the media effect of the model in this study, the Sobel Test was used. Results: The results of hypothesis identification of this research model showed that 8 of the 11 hypotheses were adopted and 3 were rejected. Results confirmed the relationship between product characteristics (specification, diversity, reputation, novelty, quality) and customer purchase intention. Conclusions: The result from this study had particular theoretical significance for improving the research on cross-border online shopping systems to improve the safety and satisfaction of customers in cross-border online shopping.

• KDI Journal of Economic Policy
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• 제44권1호
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• pp.49-75
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• 2022

This paper analyzes how franchise contract conditions are influenced by business structures as well as how contract conditions affect producer surplus by utilizing Korean franchise Information Disclosure Documents for the years 2014-2016. We find that franchise fees tend to increase in line with increases in the numbers of direct stores or the business period. Accordingly, it would be reasonable to check whether the franchise fee is excessive compared to the amount of reputation capital rather than to criticize the absolute level of the franchise fee. Regarding royalty contracts, the larger the discount in the raw materials purchase is, the higher the initial royalty is. Although this appears to be a royalty discount, it can be a means of inducing a raw materials purchase contract by initially setting a high royalty rate and then lowering it after the purchase contract is signed. Concerning the effect on producer surplus, the results show that an increase in franchise fees and royalties negatively affects the franchisee's operating profits but positively affects those of the franchisor's, leading to conflicts over the distribution of economic value added. Based on the findings here, we propose various policy recommendations, specifically reinforcing the contents in the Information Disclosure Document, further activating fixed-rate royalties, and strengthening the qualifications of franchisors when recruiting franchisees.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권3호
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• pp.528-550
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• 2024

Warehousing demand prediction is an essential part of the supply chain, providing a fundamental basis for product manufacturing, replenishment, warehouse planning, etc. Existing forecasting methods cannot produce accurate forecasts since warehouse demand is affected by external factors such as holidays and seasons. Some aspects, such as consumer psychology and producer reputation, are challenging to quantify. The data can fluctuate widely or do not show obvious trend cycles. We introduce a new model for warehouse demand prediction called MAGRU, which stands for Multi-layer Attention with GRU. In the model, firstly, we perform the embedding operation on the input sequence to quantify the external influences; after that, we implement an encoder using GRU and the attention mechanism. The hidden state of GRU captures essential time series. In the decoder, we use attention again to select the key hidden states among all-time slices as the data to be fed into the GRU network. Experimental results show that this model has higher accuracy than RNN, LSTM, GRU, Prophet, XGboost, and DARNN. Using mean absolute error (MAE) and symmetric mean absolute percentage error(SMAPE) to evaluate the experimental results, MAGRU's MAE, RMSE, and SMAPE decreased by 7.65%, 10.03%, and 8.87% over GRU-LSTM, the current best model for solving this type of problem.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2007년도 추계학술발표대회
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• pp.542-545
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• 2007

P2P 환경에서 사용자들이 직접 자료를 평가하여 악의적인 자료들을 탐지하는 평판도 방법들이 많이 연구되었다. 하지만 기존의 평판도 방법들은 자료 또는 파일 단위의 평판도를 적용하기 때문에 자료의 일부분에 대한 미세한 평가를 할 수 없으며, 특정 부분 때문에 평판도가 낮아서 자료 전체가 사용되지 못한다는 문제점을 가진다. 따라서 본 연구에서는 자료 일부분에 대한 평판도를 적용하는 새로운 평판도 방법을 제안한다. 제안하는 블록 기반의 평판도 방법은 자료의 부분에 대한 개별 평가를 하고 악의적인 블록을 배제함으로써 자료의 유익한 부분들만 사용할 수 있게 해 준다. 본 논문에서는 자료의 개별 블록 평판도와 피어의 신용도를 기반으로 하여 평판도 업데이트 방법과 개별 블록과 자료의 평가 방법을 제시한다. 또한 성능 평가를 통하여 제안하는 방법이 기존의 평판도 방법보다 자료에서 유익한 블록들만 추출하여 사용함을 보여주고 있으며, P2P 에서 발생하는 일인다역, 공모와 같은 공격에 안전함을 보이고 있다.

• 한국문헌정보학회지
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• 제53권4호
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• pp.255-283
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• 2019

본 연구는 사서교사들의 직무탈진 양상과 수준을 파악하여 직무탈진에 영향을 미치는 요인을 도출하고, 도출된 요인들의 영향 관계를 실증적으로 규명하였다. 정성적 연구를 위해 17명의 사서교사를 의도표집하여 2018년 9월 5일부터 10월 30일까지 심층면담을 진행하였다. 심층면담 내용을 분석한 결과 사서교사의 직무탈진에 영향을 주는 요인으로는 소속감, 전문 직업 정체성, 전문성 강화 기회, 사서교사에 대한 평판, 사회적 지원, 직무열의가 중요한 요인임이 밝혀졌고 이를 사서교사의 직무 특수성이라고 정의하였다. 2018년 12월 5일부터 12월 7일까지 6명의 사서교사를 대상으로 예비조사를 실시하였으며, 이후 2018년 12월 20일부터 2019년 1월 3일까지 2주 동안 웹 질문지를 통해 설문조사를 실시하였다. 총 305부가 회수되었고 이는 모두 분석에 사용되었다. 정량적 연구 결과 첫째, 사서교사의 직무 특수성 중 직무탈진에 영향을 미치는 요인으로는 전문 직업 정체성, 사서교사에 대한 평판, 사회적 지원으로 나타났다. 둘째, 사서교사의 직무 특수성 중 직무열의에 영향을 미치는 요인으로는 소속감, 전문 직업 정체성, 사회적 지원으로 나타났다. 셋째, 사서교사의 직무 특수성과 직무탈진 관계에서 직무열의의 매개효과를 검증한 결과, 전문 직업 정체성은 완전매개, 사회적 지원은 부분매개효과가 있는 것으로 나타났다.

• 정보관리학회지
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• 제27권1호
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• pp.7-24
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• 2010

본 연구는 온라인 정보원을 12개 유형으로 범주화한 다음 전국적 규모의 대규모 온라인 설문조사를 통해, 온라인 정보의 유형별 신뢰도 실태조사 및 신뢰지수의 도출, 그리고 온라인 정보의 유형별 신뢰성 평가요인에 대해 분석한 것이다. 본 연구 결과 드러난 몇 가지 중요한 사실은 다음과 같다. 우선 온라인 정보원의 유형별 '신뢰지수'는 뉴스 사이트에 게시된 정보(72.553), 금융기관(68.894), 정부기관(67.938), 카페(66.464), 포털(65.001), 집단지성(63.489), 비영리기관(63.392), 일반기업(59.789), 블로그(59.066), 온라인 토론방(55.609), 전자상거래 사이트(55.118), 미니홈피(50.695)의 순으로 나타났다. 다음으로 유형별 온라인 정보원의 신뢰성 평가 요인에 대한 분석에서, 전체적으로 보아 '널리 알려진 웹 사이트이다'는 요인은 온라인 정보원 정보원의 유형에 관계없이 대부분의 범주에서 신뢰성 평가를 위한 주된 요인이 되고 있으며, 카페나 블로그, 미니홈피, 토론방, 집단지성 등의 신뢰성 평가에는 게시된 글의 조회 수나 댓글 등과 같은 다른 이용자의 의견이, 그리고 금융기관이나 일반기업, 정부기관이나 비영리기관 등은 해당 기관의 평판이 신뢰성 평가의 주된 요인이 되고 있음을 알 수 있었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권4호
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• pp.1224-1248
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• 2022

In various sensor network applications, such as climate observation organizations, sensor nodes need to collect information from time to time and pass it on to the recipient of information through multiple bounces. According to field tests, this information corresponds to most of the energy use of the sensor hub. Decreasing the measurement of information transmission in sensor networks becomes an important issue.Compression sensing (CS) can reduce the amount of information delivered to the network and reduce traffic load. However, the total number of classification of information delivered using pure CS is still enormous. The hybrid technique for utilizing CS was proposed to diminish the quantity of transmissions in sensor networks.Further the energy productivity is a test task for the sensor nodes. However, in previous studies, a clustering approach using hybrid CS for a sensor network and an explanatory model was used to investigate the relationship between beam size and number of transmissions of hybrid CS technology. It uses efficient data integration techniques for large networks, but leads to clone attacks or attacks. Here, a new algorithm called SBEA (Snowball Endurance Algorithm) was proposed and tested with a bow. Thus, you can extend the battery life of your WSN by running effective copy detection. Often, multiple nodes, called observers, are selected to verify the reliability of the nodes within the network. Personal data from the source centre (e.g. personality and geographical data) is provided to the observer at the optional witness stage. The trust and reputation system is used to find the reliability of data aggregation across the cluster head and cluster nodes. It is also possible to obtain a mechanism to perform sleep and standby procedures to improve the life of the sensor node. The sniffers have been implemented to monitor the energy of the sensor nodes periodically in the sink. The proposed algorithm SBEA (Snowball Endurance Algorithm) is a combination of ERCD protocol and a combined mobility and routing algorithm that can identify the cluster head and adjacent cluster head nodes.This algorithm is used to yield the network life time and the performance of the sensor nodes can be increased.