• Title/Summary/Keyword: 고객 니즈

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A Study on the Application of the Spatial Information Services for Water Hazard Information Services Platform (수재해 정보 플랫폼을 위한 공간정보서비스 활용 방안 연구)

  • LEE, Jeong-Ju;CHAE, Hyo-Sok;HWANG, Eui-Ho;KIM, Dong-Young
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.639-639
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    • 2015
  • 최근 지식정보 사회는 IT가 핵심 구성요소인 스마트 사회로 변모하고 있으며, 인간과 사물 간 의사소통에서 사물과 사물 간 의사소통까지 확장하고, IT간 융합에서 나아가 타 산업과 융합하는 지능형 사회로 나아가고 있다. '공간'에 대한 정보는 '시간'과 함께 인간이 생활하는데 있어 반드시 알아야 하는 가장 근본적인 정보로써, 공간에서 발생하는 정보를 기반으로 다른 사람들과 소통을 하고 목적을 충족함으로써 삶의 질을 향상시킨다. 현대 사회에서 공간정보는 중요한 인프라 가치를 증대시키므로 새로운 사회 패러다임 전환을 위한 필수적인 요소라 할 수 있다. 따라서 본 연구에서는 수재해 정보 플랫폼 구현에 앞서 사용자의 니즈를 만족시키고 효용가치 증대가 가능하도록 공간정보서비스 활용 방안 연구를 하고자 한다. 공간정보는 시대의 흐름에 따라 형태 및 생산?활용방법이 달라졌으나 항상 중요한 정보로 인식되어 왔으며, 미래 공간정보는 단순 콘텐츠 영역을 뛰어넘어 상황(Context)정보까지 범위를 확장하였다. (1)미국의 공간정보는 시설, 기록관리 및 지도와 같은 공공분야에서 현재는 업무통합관리, 의사결정지원 등에서 데이터 웨어하우스(Data Warehouse)로서의 역할 담당한다. (2)일본은 아시아 최고의 원천기술력을 보유하고 있으며, 높은 수준의 GIS, RS(위성항측), ITS(지능형 교통 시스템) 기술을 기반으로 하고 있다. (3)영국은 지리정보시스템과 공공서비스를 접목하여 시민의 요구에 부응하는 고객맞춤형서비스 제공을 국가정보화의 우선과제로 선정하고 있다. (4)우리나라는 초고속통신망과 모바일 기술 등 세계 최고 수준의 인프라를 확보하고 있어, 이러한 인프라 기반융 복합 공간정보서비스를 이용하는데 안정적인 기반을 확보하고 있다. 본 연구는 국내외 공간정보서비스의 패러다임 변화 및 추진 동향 등을 제시하였으며, 수재해정보 플랫폼 활용에 능동적 적극적으로 접근할 수 있는 기반을 마련하였다. 공간정보서비스를 활용하여 커뮤니케이션 강화, 수재해 정보 서비스의 효율성 증진, 재해부문 선진화 측면에서 발전적 영향을 미칠 수 있으며, 특히 각종 현안에 대한 미래 예측 및 대응에 기여할 것으로 판단된다.

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A Study on Building an Integrated Model of App Performance Analysis and App Review Sentiment Analysis (앱 이용실적과 앱 리뷰 감성분석의 통합적 모델 구축에 관한 연구)

  • Kim, Dongwook;Kim, Sungbum
    • The Journal of the Korea Contents Association
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    • v.22 no.1
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    • pp.58-73
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    • 2022
  • The purpose of this study is to construct a predictable estimation model that reflects the relationship between the variables of mobile app performance and to verify how app reviews affect app performance. In study 1 and 2, the relationship between app performance indicators was derived using correlation analysis and random forest regression estimation of machine learning, and app performance estimation modeling was performed. In study 3, sentiment scores for app reviews were by using sentiment analysis of text mining, and it was found that app review sentiment scores have an effect one lag ahead of the number of daily installations of apps when using multivariate time series analysis. By analyzing the dissatisfaction and needs raised by app performance indicators and reviews of apps, companies can improve their apps in a timely manner and derive the timing and direction of marketing promotions.

Establishment of Analysis Model Using a Service Blueprint for Marketing Evaluation of IoT Services (IoT 서비스의 마케팅 평가를 위한 서비스 청사진 기법을 활용한 분석 모델 구축)

  • Jeon, Heewon;Park, Jae Wan
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.8 no.10
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    • pp.71-79
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    • 2018
  • The Internet of Things is a technology that makes it possible for objects made up of hardware and software to exchange information with one another via the Internet, thereby facilitating the servitization of the objects. An IoT service, which is composed of an IoT device and a web service, has recently been applied to the marketing field and is being used as a means to meet customer needs. However, applying appropriate marketing elements to IoT services is not easy. Therefore, analysis tools are needed to properly apply marketing elements to IoT services. This study aims to construct an analysis model for marketing evaluation of IoT services. In this study, the technical elements and marketing elements of IoT were derived through a literature review, and the analysis model for marketing evaluation of IoT services was established by exploring the relationship between the elements based on a service blueprint. We also applied real cases to verify the analytical model. This study is expected to contribute to the development of tools for evaluating IoT services.

A Comparison Study on Selection Attributes and Satisfaction in the University Foodservice Using IPA - Focused on Difference in Accessibility to Outside Restaurants - (IPA를 이용한 대학교 학생식당 선택속성과 만족도 비교 연구 - 외부 식당과의 접근성 차이를 중심으로 -)

  • Kim, Kwang-Ji;Ahn, Su-Hyang;Kim, Yu-Jin;Lee, Jung-Hun;Park, Ki-Yong
    • Culinary science and hospitality research
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    • v.18 no.1
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    • pp.104-119
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    • 2012
  • The purpose of this study is to suggest a way of the efficient operation of university foodservice through the Importance-Performance Analysis and examine a causal relationship between selection attributes and satisfaction. A survey was carried out in class, and after excluding 12(A University) and 20(B University) unusable cases which had an unacceptable level of missing data, 108 out of 120(A University) and 104 out of 124(B University) cases were used for analysis. As for A University, IPA showed that taste, variety, food cleanliness, table cleanliness, and tableware cleanliness were included in the concentrating efforts items. As for B University, IPA showed that taste, variety, and table cleanliness were in the concentrating efforts items that university foodservice managers should improve. Also, through t-test difference analysis on selection attributes of A University and B University in the research model, this study confirmed that both A University and B University displayed positive difference in personal services. And, through regression analysis, food quality had a positive influence on satisfaction.

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Analyzing the weblog data of a shopping mall using process mining (프로세스 마이닝을 이용한 쇼핑몰 웹로그 데이터 분석)

  • Kim, Chae-Young;Yong, Hye-Ryeon;Hwang, Hyun-Seok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.11
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    • pp.777-787
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    • 2020
  • With the development of the Internet and the spread of mobile devices, the online market is growing rapidly. As the number of customers using online shopping malls explodes, research is being conducted on the analysis of usage behavior from customer data, personalized product recommendations, and service development. Thus, this paper seeks to analyze the overall process of online shopping malls through process mining, and to identify the factors that influence users' purchases. The data used are from a large online shopping mall, and R was the analysis tool. The results show that customer activity was most prominent in categories with event elements, such as unconventional discounts and monthly giveaway events. On the other hand, searches, logins, and campaign activity were found to be less relevant than their importance. Those are very important, because they can provide clues to a customer's information and needs. Therefore, it is necessary to refine the recommendations from related search words, and to manage activity, such as coupons provided when customers log in. In addition to the previous discussion, this paper proposes various business strategies to enhance the competitiveness of online shopping malls and to increase profits.

Strategic GSCM of the Multinational Enterprises and its impact on the Market Performance (다국적기업의 전략적 그린 SCM 구축과 시장성과에 관한 실증적 연구)

  • Kim, Gil-Sung
    • International Area Studies Review
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    • v.15 no.3
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    • pp.513-532
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    • 2011
  • Green supply chain management(GSCM) has emerged as a key approach for firms seeking to become sustainable environmentally. GSCM is a system in which the firm takes life cycle responsibility of the products through material recycling, environment-friendly production, and reverse logistics in addition to the classical operations in a supply chain. This paper endeavors to identify the relationship between the GSCM practice implementation and firms' performance among a sample of Korean manufacturing firms. Based on a literature review, eight hypotheses are put forward. First of all, a factor analysis was conducted to derive groupings of GSCM practice from the survey data which included 54 responses. Then, the first regression was conducted to examine the link between GSCM practice implementation and firms' financial performance. The result shows that green purchasing and green production are significant. The second regression was conducted to examine the impact of GSCM practice implementation on the firms' competitiveness. The result reveals that green purchasing, green production, and reverse logistics are positively signifiant.

A Study on the Properties of Inventory for Efficient Inventory Control at Small-scale Manufacturing Company (소규모 제조기업의 효율적 재고관리를 위한 재고속성에 관한 연구)

  • Kim, Ki Bum;Nam, Gon;Jeong, Yong Moon;Heo, Se min
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.12
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    • pp.449-455
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    • 2020
  • Inventory management is one of the important business functions for manufacturing companies to determine market responsiveness. Customers' needs are diversifying, and the life cycle of products is decreasing, thus increasing the importance of inventory management. However, for small-scale manufacturing companies, investing in an IT system for inventory management is practically difficult. In this study, we introduce an inventory and warehouse management model that can be applied simply and quickly in small-scale manufacturing companies. Firstly, we introduce the concept of the properties of inventory and provide an analytical methodology based on the age and quantity of the inventory. Secondly, in accordance with the properties of the inventory, we introduce location management rules for warehouse operation. To apply the proposed model, we studied a wallpaper manufacturing company and verified the applicability of the proposed methods in the field. The proposed model can be applied immediately as part of on-site improvement activities by small-scale manufacturing companies, and inventory management activities are expected to reduce bad long-term inventory and further secure storage capacity for warehouses.

A Study on Sentiment Score of Healthcare Service Quality on the Hospital Rating (의료 서비스 리뷰의 감성 수준이 병원 평가에 미치는 영향 분석)

  • Jee-Eun Choi;Sodam Kim;Hee-Woong Kim
    • Information Systems Review
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    • v.20 no.2
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    • pp.111-137
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    • 2018
  • Considering the increase in health insurance benefits and the elderly population of the baby boomer generation, the amount consumed by health care in 2020 is expected to account for 20% of US GDP. As the healthcare industry develops, competition among the medical services of hospitals intensifies, and the need of hospitals to manage the quality of medical services increases. In addition, interest in online reviews of hospitals has increased as online reviews have become a tool to predict hospital quality. Consumers tend to refer to online reviews even when choosing healthcare service providers and after evaluating service quality online. This study aims to analyze the effect of sentiment score of healthcare service quality on hospital rating with Yelp hospital reviews. This study classifies large amount of text data collected online primarily into five service quality measurement indexes of SERVQUAL theory. The sentiment scores of reviews are then derived by SERVQUAL dimensions, and an econometric analysis is conducted to determine the sentiment score effects of the five service quality dimensions on hospital reviews. Results shed light on the means of managing online hospital reputation to benefit managers in the healthcare and medical industry.

A Research on Private apparel Brand's Product Strategy in Discounted Stores. (할인점의 의류PB 상품전략에 관한 연구)

  • Choi, Sung-Sik;Kim, Pan-Jin;Lee, Sang-Youn
    • The Journal of Industrial Distribution & Business
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    • v.2 no.2
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    • pp.25-38
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    • 2011
  • After the financial crisis, what has been the rapidly growth of large supermarkets, stores, and restaurants linked to concerns that have already reached saturation point, but the new opening large supermarkets is expected to continue into the future. The major supermarkets are continue to grow outward but growth slowed. And that is expected to continue differentiation of the product, acceptance the customer needs, acquiring high margin of sales products. Then the ongoing development of PB brand is to be positioned effective marketing strategy for overcoming the period of slow growth. In addition, big three local supermarkets continue to launch a clothing PB brand, expansion and operation strategy for the situation and based on this study and the success of the domestic large-Mart's PB and PB identifying problem and the need for differentiation and profit for the successful strategy is to discuss in this study. This research looks at the concept of major market's private brand, the strategy, the success example and the prospects, and views the globally rapid-growing private brands, not only having the limited role of distributing the products as retailers, but also having a control of the distribution channel as a manufacturing company. World's major advanced distribution companies, to differentiate their companies' products and increase the profitability, are putting a lot of efforts into private brand products, and there are many good examples that are globalizing, externally expanding, and creating high financial results. In this research, we presented three major domestic discount stores as examples to show that there is a need for a differentiated private brand management strategy in the saturated discount store industry in Korea. Also, we aim to provide a new product strategy for the future that has been saturated with discount stores to the limit, by providing suggestions that private brand products can be used as weapons with the strongest competiveness in the retail industry through pursuing store differentiations from thorough market analysis and product researches, meeting the customers' needs, and obtaining high margins. PB products, particularly clothing design, a thorough market analysis and product development trends and customer needs to reflect the acquisition of High margin differentiated powerful products and sustainable growth through the stores, large supermarkets, congested, a new breakthrough that can give a good opportunity to provide implications discount stores, new product strategy based on ways to limit proposed. This study discount the major three companies studied, the less strain is a generalization. In the future, domestic and local discount store brand PB, SPA brand that the multinational comparative analysis of the value of the PB expansion strategy centered on clothing, additional studies will be needed.

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A Study on the Intelligent Quick Response System for Fast Fashion(IQRS-FF) (패스트 패션을 위한 지능형 신속대응시스템(IQRS-FF)에 관한 연구)

  • Park, Hyun-Sung;Park, Kwang-Ho
    • Journal of Intelligence and Information Systems
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    • v.16 no.3
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    • pp.163-179
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    • 2010
  • Recentlythe concept of fast fashion is drawing attention as customer needs are diversified and supply lead time is getting shorter in fashion industry. It is emphasized as one of the critical success factors in the fashion industry how quickly and efficiently to satisfy the customer needs as the competition has intensified. Because the fast fashion is inherently susceptible to trend, it is very important for fashion retailers to make quick decisions regarding items to launch, quantity based on demand prediction, and the time to respond. Also the planning decisions must be executed through the business processes of procurement, production, and logistics in real time. In order to adapt to this trend, the fashion industry urgently needs supports from intelligent quick response(QR) system. However, the traditional functions of QR systems have not been able to completely satisfy such demands of the fast fashion industry. This paper proposes an intelligent quick response system for the fast fashion(IQRS-FF). Presented are models for QR process, QR principles and execution, and QR quantity and timing computation. IQRS-FF models support the decision makers by providing useful information with automated and rule-based algorithms. If the predefined conditions of a rule are satisfied, the actions defined in the rule are automatically taken or informed to the decision makers. In IQRS-FF, QRdecisions are made in two stages: pre-season and in-season. In pre-season, firstly master demand prediction is performed based on the macro level analysis such as local and global economy, fashion trends and competitors. The prediction proceeds to the master production and procurement planning. Checking availability and delivery of materials for production, decision makers must make reservations or request procurements. For the outsourcing materials, they must check the availability and capacity of partners. By the master plans, the performance of the QR during the in-season is greatly enhanced and the decision to select the QR items is made fully considering the availability of materials in warehouse as well as partners' capacity. During in-season, the decision makers must find the right time to QR as the actual sales occur in stores. Then they are to decide items to QRbased not only on the qualitative criteria such as opinions from sales persons but also on the quantitative criteria such as sales volume, the recent sales trend, inventory level, the remaining period, the forecast for the remaining period, and competitors' performance. To calculate QR quantity in IQRS-FF, two calculation methods are designed: QR Index based calculation and attribute similarity based calculation using demographic cluster. In the early period of a new season, the attribute similarity based QR amount calculation is better used because there are not enough historical sales data. By analyzing sales trends of the categories or items that have similar attributes, QR quantity can be computed. On the other hand, in case of having enough information to analyze the sales trends or forecasting, the QR Index based calculation method can be used. Having defined the models for decision making for QR, we design KPIs(Key Performance Indicators) to test the reliability of the models in critical decision makings: the difference of sales volumebetween QR items and non-QR items; the accuracy rate of QR the lead-time spent on QR decision-making. To verify the effectiveness and practicality of the proposed models, a case study has been performed for a representative fashion company which recently developed and launched the IQRS-FF. The case study shows that the average sales rateof QR items increased by 15%, the differences in sales rate between QR items and non-QR items increased by 10%, the QR accuracy was 70%, the lead time for QR dramatically decreased from 120 hours to 8 hours.