• 유통과학연구
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• 제18권8호
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• pp.15-22
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• 2020

Purpose: The purpose of this study is to measure the effectiveness of corporate social responsibility and service on consumers' risk perception, which ultimately influences satisfaction. Research design, data, and methodology: This study adopted experimental scenario questionnaires: 2 CSR conditions (with and without CSR) and 2 service outcomes (successful and unsuccessful). Multiple regressions were conducted to examine hypotheses. A total of 217 responses were gathered for research analysis. Results: The results of this study found that the performance risk perception and satisfaction of consumers were affected by both CSR and service. CSR was not found, however, to have a moderating effect on performance risk perception or satisfaction. Additionally, performance risk perception affected consumer satisfaction. Conclusion: The results of this study indicate that consumers respond to the conditions of company's CSR and service outcomes when they stay at hotels. Findings of this study suggest service outcomes and CSR had an effect on performance risk perception and satisfaction, although CSR did not moderate the effect of service outcomes for both performance risk perception or satisfaction. Therefore, providing satisfactory customer service and undertaking CSR activities are critical to achieving consumers' overall satisfaction.

• 한국컴퓨터정보학회논문지
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• 제20권8호
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• pp.35-43
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• 2015

Recently, internal information leaks is increasing rapidly by internal employees and authorized outsourcing personnel. In this paper, we propose a method to integrate internal control systems like system access control system and Digital Rights Managements and so on through expansion model of SIEM(Security Information Event Management system). this model performs a analysis step of security event link type and validation process. It develops unit scenarios to react illegal acts for personal information processing system and acts to bypass the internal security system through 5W1H view. It has a feature that derives systematic integration scenarios by integrating unit scenarios. we integrated internal control systems like access control system and Digital Rights Managements and so on through expansion model of Security Information Event Management system to defend leakage of internal information and customer information. We compared existing defense system with the case of the expansion model construction. It shows that expanding SIEM was more effectively.

• Asia Marketing Journal
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• 제23권1호
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• pp.5-27
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• 2021

This paper seeks to suggest user satisfaction model of digital signage to see how new in-store technology can effectively lead to customers' shopping satisfaction in fashion retails. Authors in particular focus on technological complexity, which is expected to serve a subtle role in using digital signage. This study employed a scenario-based online survey. Interactive digital signage with virtual try-on and video-captures functions was used as stimuli. Data were collected from 320 respondents and 307 useable responses were analyzed to examine a proposed model. Research model compares dual paths of motivators: the extrinsic motivation route that leads from usefulness to shopping outcome satisfaction and intrinsic motivation route that leads from enjoyment to shopping process satisfaction. Technological complexity of digital signage indirectly and negatively influences shopping outcome and process satisfaction, mediated by usefulness and enjoyment, but directly and positively affects shopping process satisfaction. In omni-channel environments, the findings have implications for fashion retail managers in using digital signage to maximize customer satisfaction and to counterbalance the advantages and disadvantages of technological complexity.

• 대한안전경영과학회지
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• 제24권1호
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• pp.1-9
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• 2022

The growth of the online market is accelerating due to the development of technology and the pandemic era. The delivery service through the courier must be used to deliver the ordered goods to the customer through the online market. With the growth of the online market, the logistics market for delivery is also growing. The traffic and environmental problems are emerging as social issues. Urban logistics technology using underground space based on the urban railway developed to improve logistics efficiency in a metropolitan area and a new alternative to environmental problems. This study proposed a plan to secure system safety through safety analysis based on operational concept definition and scenario analysis by applying model-based perspective analysis to the system under development.

• Asia pacific journal of information systems
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• 제18권3호
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• pp.91-121
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• 2008

Electronic commerce, commonly known as e-commerce or eCommerce, has become a major business trend in these days. The amount of trade conducted electronically has grown extraordinarily by developing the Internet technology. Most electronic commerce has being conducted between businesses to customers; therefore, the researches with respect to e-commerce are to find customer's needs, behaviors through statistical methods. However, the statistical researches, mostly based on a questionnaire, are the static researches, They can tell us the dynamic relationships between initial purchasing and repurchasing. Therefore, this study proposes dynamic research model for analyzing the cause of initial purchasing and repurchasing. This paper is based on the System-Dynamic theory, using the powerful simulation model with some restriction, The restrictions are based on the theory TAM(Technology Acceptance Model), PAM, and TPB(Theory of Planned Behavior). This article investigates not only the customer's purchasing and repurchasing behavior by passing of time but also the interactive effects to one another. This research model has six scenarios and three steps for analyzing customer behaviors. The first step is the research of purchasing situations. The second step is the research of repurchasing situations. Finally, the third step is to study the relationship between initial purchasing and repurchasing. The purpose of six scenarios is to find the customer's purchasing patterns according to the environmental changes. We set six variables in these scenarios by (1) changing the number of products; (2) changing the number of contents in on-line shopping malls; (3) having multimedia files or not in the shopping mall web sites; (4) grading on-line communities; (5) changing the qualities of products; (6) changing the customer's degree of confidence on products. First three variables are applied to study customer's purchasing behavior, and the other variables are applied to repurchasing behavior study. Through the simulation study, this paper presents some inter-relational result about customer purchasing behaviors, For example, Active community actions are not the increasing factor of purchasing but the increasing factor of word of mouth effect, Additionally. The higher products' quality, the more word of mouth effects increase. The number of products and contents on the web sites have same influence on people's buying behaviors. All simulation methods in this paper is not only display the result of each scenario but also find how to affect each other. Hence, electronic commerce firm can make more realistic marketing strategy about consumer behavior through this dynamic simulation research. Moreover, dynamic analysis method can predict the results which help the decision of marketing strategy by using the time-line graph. Consequently, this dynamic simulation analysis could be a useful research model to make firm's competitive advantage. However, this simulation model needs more further study. With respect to reality, this simulation model has some limitations. There are some missing factors which affect customer's buying behaviors in this model. The first missing factor is the customer's degree of recognition of brands. The second factor is the degree of customer satisfaction. The third factor is the power of word of mouth in the specific region. Generally, word of mouth affects significantly on a region's culture, even people's buying behaviors. The last missing factor is the user interface environment in the internet or other on-line shopping tools. In order to get more realistic result, these factors might be essential matters to make better research in the future studies.

• 기술혁신학회지
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• 제12권1호
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• pp.212-236
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• 2009

본 연구는 차세대 컨버전스서비스를 대상으로 고객, 기술, 사업자, 규제의 4대 이슈별로 환경 불확실성요인을 규명하고, 이들 환경 불확실성요인 중 특히 핵심이 되는 불확실성 요인을 도출하였다. 이어 도출된 핵심불확실성요인(KUF: Key Uncertainty Factor)을 중심으로 환경의 잔여불확실성 수준에 대한 평가를 시나리오 플래닝에 의해 실시하고, 이를 기반으로 차세대 컨버전스서비스의 진입전략 수립을 위한 방향을 제시하였다. 본 연구의 차세대 컨버전스서비스 사업의 불확실성 평가 및 진입 시나리오 구성에 대한 연구결과를 종합하면 다음과 같다. 2가지 잔여 불확실성 수준(선택 가능한 미래 수준, 예측 범위의 미래 수준)의 6개 시나리오를 대상으로 각각의 전략적 속성을 평가한 결과 시장 진입의 성공 요소로 2가지 핵심성공요인(KSF: Key Success Factor)을 도출하였다. 즉, 고객수요추세, 광고규제 완화를 핵심성공요인(KSF: Key Success Factor)으로 도출하였으며, 이를 토대로 4가지 전략적 시나리오 유형 및 각 시나리오 별 요구되는 사업자 대응역량에 대한 방향성을 제시하였다. 본 연구의 결과는 컨버전스 시장의 활성화는 물론 관련 사업자의 자원의 효율적 배분, 진입형태, 진입 적정시기 등 진입전략 수립에 많은 시사점을 제공할 것이다.

• 경영정보학연구
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• 제10권2호
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• pp.97-121
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• 2008

유비쿼터스 기술(uT)의 적용에 대한 논의가 상대적으로 저조한 재래시장에 uT를 적용하여 쇼핑고객의 쇼핑편의와 온/오프라인 쇼핑경험을 촉진할 수 있는 u-Market을 구현한다면, 재래시장을 방문하는 쇼핑고객의 수를 증가시킬 수 있으며, 이는 매출증대로 이어져 재래시장 활성화에 일조할 것이다. 이를 위해 우선 현실적인 u-Market 서비스 시나리오를 개발하였고, u-Market 시나리오를 기반으로 실제 사용자들을 대상으로 u-Market 서비스 수용성에 영향을 미치는 요인에 대한 연구를 하였다. 본 연구에서 제안하는 u-Market 서비스 시나리오는 향후 시스템 구현단계에서 개발자들 간의 협업을 촉진하여 고품질의 시스템을 효과적으로 개발하는데 일조할 것이다. 뿐만 아니라 u-Market 서비스 수용성에 영향을 미치는 요인에 대한 연구결과는 차후 재래시장에 실제로 구축될 u-Market 서비스의 성공가능성을 제고하는데 도움을 줄 것으로 기대한다.

• 산업경영시스템학회지
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• 제40권4호
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• pp.154-163
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• 2017

Collaborative filtering, one of the most widely used techniques to build recommender systems, is based on the idea that users with similar preferences can help one another find useful items. Credit card user behavior analytics show that most customers hold three or less credit cards without duplicates. This behavior is one of the most influential factors to data sparsity. The 'cold-start' problem caused by data sparsity prevents recommender system from providing recommendation properly in the personalized credit card recommendation scenario. We propose a personalized credit card recommender system to address the cold-start problem, using multiple user profiles. The proposed system consists of a training process and an application process using five user profiles. In the training process, the five user profiles are transformed to five user networks based on the cosine similarity, and an integrated user network is derived by weighted sum of each user network. The application process selects k-nearest neighbors (users) from the integrated user network derived in the training process, and recommends three of the most frequently used credit card by the k-nearest neighbors. In order to demonstrate the performance of the proposed system, we conducted experiments with real credit card user data and calculated the F1 Values. The F1 value of the proposed system was compared with that of the existing recommendation techniques. The results show that the proposed system provides better recommendation than the existing techniques. This paper not only contributes to solving the cold start problem that may occur in the personalized credit card recommendation scenario, but also is expected for financial companies to improve customer satisfactions and increase corporate profits by providing recommendation properly.

• 한국빅데이터학회지
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• 제7권2호
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• pp.91-102
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• 2022

인공지능이 발전하면서 AI 챗봇 시스템의 활용이 활발히 이루어지고 있다. 그 예로 공공기관에서는 민원, 행정 분야에서 업무 보조, 전문지식 서비스 등으로 챗봇 활용 분야가 확대되고 있으며 민간기업은 대화형 고객 응대 서비스 등으로 챗봇을 활용하고 있다. 본 연구에서는 시나리오 기반의 AI 음성 챗봇 시스템을 제안하여 박물관의 운영 비용을 절감하고 관람객에게 양방향성 안내 서비스를 제공하고자 한다. 구현한 음성 챗봇 시스템은 실시간으로 특정 디렉터리를 감시하여 사용자의 음성을 감지하는 감시자 객체와 음성 파일이 생성되면 순차적으로 모델별 추론을 수행하여 AI의 응대 음성을 출력하는 이벤트 핸들러 객체로 구성되며, 스레드와 데크를 활용한 중복 방지 기능을 포함하여 단일 GPU 환경에서 추론 중에 GPU의 연산이 중복되지 않도록 한다.

• 인터넷정보학회논문지
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• 제21권5호
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• pp.75-85
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• 2020

The application of Internet technology has created enormous impact on banking sector with the implementation of many techno-oriented services like Internet banking, EFT, branchless banking, Automated Clearing House (ACH) transactions etc. Study of customer's attitude in terms of trust, perceived risk and ease of use of a particular technology is as an important parameter for acceptance or rejection of a technology. To explore the customers'attitude for Internet banking this research is undertaken. The research is carried out in Pokhara valley which is the second largest city and tourism capital of Nepal. The study employs descriptive research design with stratified sampling procedure for eight top commercial banks. A set of 25 customers is taken from each selected 8 banks making a sample size of 200 respondents. A fixed set of question related to demographic factors is provided personally or by visiting the location of the customers of Internet banking service and collected accordingly. Reliability test is performed using Cronbach's alpha and data is analyzed using inferential statistics to present the results of the study. This study provides knowledge on the current scenario of Internet banking and helps banks in cost saving, mass customization, product innovation, improved marketing and communication. This study is very important for financial institutions like banks, government agencies and business houses to understand the perception of customers towards Internet banking and technology as a whole. The study also supplements the gap in literature on technology and banking in Nepal and serves as an important knowledge base.