• Proceedings of the Korea Society of Costume Conference
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• 2001.04a
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• pp.48-48
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• 2001

고객의 가치를 창조해나가기 위해 고객을 중시하 는 시장지향적인 기업문화가 확산되며, 이와 함께 판 매현장 최일선에서 고객을 직접 응대하며 기업의 시 장지향성을 실현하고 고객을 관리하는 패션판매원의 중요성이 높아지고 있는 실정이다. 이러한 시장지향 적인 기업문화와 판매원의 중요성이 높아짐에 따라 본 연구는 의류업체의 시장 지향성의 유형을 밝히고, 이러한 시장지향적 노력이 판매원의 능력과 함께 의류업체의 판매원의 만족에 어떠한 영향을 미치는지를 알아보고자 하였다. 이들의 규명을 통해 궁극적으 로 기업의 성과에 기여하는 판매원 만족에 영향을 미치는 시장지향성의 유형과 판매원의 능력 유형을 밝혀 의류업체의 시장지향적 기업문화 실현에 기여 하고자 하였다. 설문지를 이용한 실증적인 조사연구방법이 사용 되었고, 연구대상은 서울과 분당에 위치한 L백화점의 여성복 의류매장에 근무하고 있는 삽마스터 600 명을 대상으로 하였다. 선행연구를 근거로 하고 의류 업체에 맞게 수정 보완한 질문지를 사용하여, 최종 분석된 설문지는 547부이다. 자료분석은 SPSS pc + 8.0올 이용하여 빈도분석, 백분율, 요인분석, 중다회 귀분석을 사용하였다. 수거된 질문지를 통계처리 한 결과는 다음과 같다. 첫째, 의류업체의 시장지향성을 요인분석한 결과 '시장정보의 획득'시장정보의 확산', '시장정보에 대 한 반응'의 세 요인으로 나눌 수 있었다. 시장정보를 획득하는 활동에는 매장의 소비자조사. POS시스템 의 활용. 삽마스터 회의에의 관심, 경쟁 브랜드 조사 그리고 판매사원을 통한 고객의 반응 조사 등의 내 용이 포함된다. 시장정보를 확산시키고자하는 활동 에는 매장에서 본사로 상황을 보고하고, 고껴의 시정 요구를 해결하고자 하는 노력. 판매원이 제시하는 소 비자동향의 반영, 그리고 삽마스터 회의 등씩 내용이 포함되며, 시장정보에 대한 반응은 풍부한 물량공급 과 히트상품의 지속적인 공급을 활동 내용으로 한다' 둘째, 의류업체의 시장지향성은 판매원의 만족도 에 정적인 영향을 나타냈다. 이는 의류업체가 시장정 보 수집에 적극적이고, 매장과 긴밀한 정보교류를 하 며, 수집된 정보를 적극 활용하여 상품개발이나 공급 등의 노력을 보일 때 판매원이 회사에 대해 강한 신 뢰감을 느껴 만족감을 느끼게 되고 이것이 바로 성 과로 이어질 수 있는 것을 의미한다. 셋째, 판매원의 회사전략 인지능력, 의류제조과정 인지능력. 고객서버스 능력, 자율적인 목표설정 능력. 고정고객관리능력이 클수록 직무자체와 인간관계에 대한 만족도가 높게 나타나 판매원의 직무한력은 판 매원의 만족에 영향을 미치는 것을 알 수 있었다. 이 는 의류업체에서 능력 있는 판매원을 육성하거나 영 입하는데 힘써야 함을 시사하는 결과이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.822-825
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• 2020

본 논문에서는 코로나 바이러스로 인한 불편함을 겪는 사람들에게 코로나 관련 정보를 편리하게 제공하기 위해 인공지능 기반의 챗봇을 개발하였다. 인공지능 기술이 도입됨에 따라 챗봇이 여러 기관에서 고객 응대를 포함한 다양한 업무를 수행하고 있다는 점에 착안하여 IBM Watson Assistant를 활용한다. Watson Assistant는 사용자가 입력한 말을 자연어 처리를 통해 분석하여 문장을 생성한 후 사용자에게 전달한다. Intent와 Entitiy를 통해 질의의 행위와 주체를 입력한 후 높은 빈도가 예상되는 질문을 작성하고, Dialog를 통해 대화 흐름을 파악한다. 사용자는 Axure로 설계된 사용자 인터페이스를 통해 대화 전송, 정보 수신 등 동작을 취할 수 있으며, 각 언어에 맞는 SDK 라이브러리를 제공한다는 이점을 활용하여 Node.js로 화면에서 발생하는 액션과 데이터 전달을 처리한다.

• Annual Conference on Human and Language Technology
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• 2021.10a
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• pp.133-138
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• 2021

최근 다양한 분야에서 자동 고객 응대 시스템을 도입하고 있으며 이에 따른 대화형 질의응답 시스템 연구의 필요성이 증가하고 있다. 본 논문에서는 새로운 도메인의 대화형 질의응답 시스템 구축에 필요한 말뭉치를 자동으로 생성하는 대화형 질의-응답 생성 시스템을 소개한다. 또한 이전 대화 내용을 고려하여 문서로부터 사용자의 다음 질문 대상이 될만한 응답 후보를 추출하는 맥락 관련 응답 추출 과제와 이에 대한 성능 평가 지표인 Sequential F1 점수를 함께 제안한다. 대화형 질의응답 말뭉치인 CoQA에 대해 응답 후보 추출 실험을 진행한 결과 기존의 응답 추출 모델보다 우리의 맥락 관련 응답 추출 모델이 Sequential F1 점수에서 31.1 높은 성능을 보였다. 또한 맥락 관련 응답 추출 모듈과 기존에 연구된 대화형 질의 생성 모듈을 결합하여 개발한 대화형 질의-응답 생성 시스템을 통해 374,260 쌍의 질의-응답으로 구성된 대화형 질의응답 말뭉치를 구축하였다.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.245-254
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• 2022

In this study, we derived selection factors for OTT services based on previous studies and presented an hierarchy process analysis model to calculate the weights for each evaluation. To evaluate the OTT selection factors, OTT customer data was used for the analysis. The results showed that of the first stage factors of economic feasibility, system excellence, convenience, diversity, playfulness, and responsiveness, diversity is the most important. When the weights for first stage and second stage factors were synthesized, entertainment was the most important factor. Lastly, this study analyzed whether there is a difference in the weight of the selection factor for the first stage of OTT service according to gender and age. This study shows which factors consumers prioritize when using OTT services.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.12
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• pp.8800-8811
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• 2015

When the crucial role of the agent in communicating with the customer is acknowledged well enough to relieve the agent's stress, it will lead to the decrease of the agent's emotional labor and the improvement of the business organization's performance simultaneously. However, the research on the relationship between information system and the emotional labor has been scarcely conducted even though the importance of the emotional labor is actively researched and discussed these days. Therefore, much effort has been put in this study to fine out how the quality of airline call center information system affects expectations-conformation and how expectations-conformation and self-efficacy affect performance of Emotional Labors. Analysis of the results to target a call center agent 436 people, When you provide them with quality information systems, it increased satisfaction and pride in their job. This mechanisms subsequently reduces the strength of the emotion labor, which ultimately improves the service performance. The implications of this study can be summarized as following: First, this research presented practical guidelines to the organization's decision-makers related to the airline call center operations in order to introduce and expand successful call center information system. Second, this research suggested the possible method to inspect and diagnose the system by way of applying the measurement model mentioned in this research into the airline information system and analyzing it. Third, the performance-measuring model developed in order to measure the performance of the airline call center information system can also be used when we carry out the performance-measuring task in the similar information system as the basis of diagnosing the situation and presenting the driving directions.

• Culinary science and hospitality research
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• v.21 no.4
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• pp.294-308
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• 2015

The purpose of this study was to look into the service quality of websites and the attributes of review information thereon as perceived by visitors thereto and to analyze the effect that the service quality of festival websites and informative usefulness of testimonials would have on the satisfaction with use, along with the effect that the satisfaction with use would have on behavioral intention. Based on the results of this study, we intended to present measures that could help strengthen the intention to spread positive word-of-mouth for festivals and to visit a festival through satisfaction with a festival's website. The festival selected to achieve the objectives of this study was the Yeongdeok Snow Crab Festival, which is one of the most renowned local food festivals in the Gyeongbuk region, having been held for 17 consecutive years, and has been selected as the top festival of Gyeongsangbuk-do for 4 consecutive years. We surveyed visitors to Yeongdeok Snow Crab Festival who had searched for information on the Yeongdeok Snow Crab Festival prior to its opening, as well as those who had participated in Yeongdeok Snow Crab Festival before. The results of this study showed that review information on a food festival website, service quality design, adequacy of substance, responsiveness to customers, and system capability were found to have a positive effect on behavioral intention through satisfaction with use. The findings suggest that it is crucial to manage the service quality of websites in order to stimulate interest in, and induce visits to, food festivals.

• 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'.

• Journal of Intelligence and Information Systems
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• v.28 no.3
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• pp.259-278
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• 2022

With the spread of Artificial Intelligence (AI), various AI-based services are expanding in the financial sector such as service recommendation, automated customer response, fraud detection system(FDS), credit scoring services, etc. At the same time, problems related to reliability and unexpected social controversy are also occurring due to the nature of data-based machine learning. The need Based on this background, this study aimed to contribute to improving trust in AI-based financial services by proposing a checklist to secure fairness in AI-based credit scoring services which directly affects consumers' financial life. Among the key elements of trustworthy AI like transparency, safety, accountability, and fairness, fairness was selected as the subject of the study so that everyone could enjoy the benefits of automated algorithms from the perspective of inclusive finance without social discrimination. We divided the entire fairness related operation process into three areas like data, algorithms, and user areas through literature research. For each area, we constructed four detailed considerations for evaluation resulting in 12 checklists. The relative importance and priority of the categories were evaluated through the analytic hierarchy process (AHP). We use three different groups: financial field workers, artificial intelligence field workers, and general users which represent entire financial stakeholders. According to the importance of each stakeholder, three groups were classified and analyzed, and from a practical perspective, specific checks such as feasibility verification for using learning data and non-financial information and monitoring new inflow data were identified. Moreover, financial consumers in general were found to be highly considerate of the accuracy of result analysis and bias checks. We expect this result could contribute to the design and operation of fair AI-based financial services.

• Journal of Intelligence and Information Systems
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• v.27 no.2
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• pp.55-78
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• 2021

Tosolve complex and diverse social problems and ensure the quality of life of individuals, social robots that can interact with humans are attracting attention. In the past, robots were recognized as beings that provide labor force as they put into industrial sites on behalf of humans. However, the concept of today's robot has been extended to social robots that coexist with humans and enable social interaction with the advent of Smart technology, which is considered an important driver in most industries. Specifically, there are service robots that respond to customers, the robots that have the purpose of edutainment, and the emotionalrobots that can interact with humans intimately. However, popularization of robots is not felt despite the current information environment in the modern ICT service environment and the 4th industrial revolution. Considering social interaction with users which is an important function of social robots, not only the technology of the robots but also other factors should be considered. The design elements of the robot are more important than other factors tomake consumers purchase essentially a social robot. In fact, existing studies on social robots are at the level of proposing "robot development methodology" or testing the effects provided by social robots to users in pieces. On the other hand, consumer emotions felt from the robot's appearance has an important influence in the process of forming user's perception, reasoning, evaluation and expectation. Furthermore, it can affect attitude toward robots and good feeling and performance reasoning, etc. Therefore, this study aims to verify the effect of appearance of social robot and consumer emotions on consumer's attitude toward social robot. At this time, a social robot design evaluation model is constructed by combining heterogeneous data from different sources. Specifically, the three quantitative indicator data for the appearance of social robots from the ABOT Database is included in the model. The consumer emotions of social robot design has been collected through (1) the existing design evaluation literature and (2) online buzzsuch as product reviews and blogs, (3) qualitative interviews for social robot design. Later, we collected the score of consumer emotions and attitudes toward various social robots through a large-scale consumer survey. First, we have derived the six major dimensions of consumer emotions for 23 pieces of detailed emotions through dimension reduction methodology. Then, statistical analysis was performed to verify the effect of derived consumer emotionson attitude toward social robots. Finally, the moderated regression analysis was performed to verify the effect of quantitatively collected indicators of social robot appearance on the relationship between consumer emotions and attitudes toward social robots. Interestingly, several significant moderation effects were identified, these effects are visualized with two-way interaction effect to interpret them from multidisciplinary perspectives. This study has theoretical contributions from the perspective of empirically verifying all stages from technical properties to consumer's emotion and attitudes toward social robots by linking the data from heterogeneous sources. It has practical significance that the result helps to develop the design guidelines based on consumer emotions in the design stage of social robot development.