• 제목/요약/키워드: User Performance

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Performance of Database Driven Network Applications from the User Perspective

  • Tang, Shanyu;YongFeng, Huang;Yip, Yau Jim
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제3권3호
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    • pp.235-250
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    • 2009
  • An understanding of performance of database driven network applications is critical in combating slow performance of e-commerce web sites, besides efficient web page design, and high quality and well-maintained web server equipment. This paper describes a method of measuring performance from the user viewpoint, which can help enormously in making realistic assessment of true performance of database driven applications. The performance measurements were taken at user locations by using several specially designed JavaScript functions along with ASP scripts. A performance study is presented in this paper, comparing performance of data access using stored procedures with the traditional way of querying a database. It is generally believed that stored procedures have performance benefits as they are pre-compiled. However, our study shows that the data access approach using stored procedures provides significant benefits(by about 30%) over the traditional approach for querying a commercial MySQL database, only when retrieving a substantial amount of data(at least 10,000 rows of data).

DEA 기반 온라인 게임 성과 관리 포트폴리오 모형 (A DEA-Based Portfolio Model for Performance Management of Online Games)

  • 전훈;이학연
    • 대한산업공학회지
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    • 제39권4호
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    • pp.260-270
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    • 2013
  • This paper proposes a strategic portfolio model for managing performance of online games. The portfolio matrix is composed of two dimensions: financial performance and non-financial performance. Financial performance is measured by the conventional measure, average revenue per user (ARPU). In terms of non-financial performance, five non-financial key performance indicators (KPIs) that have been widely used in the online game industry are utilized: RU (Register User), VU (Visiting User), TS (Time Spent), ACU (Average Current User), MCU (Maximum Current User). Data envelopment analysis (DEA) is then employed to produce a single performance measure aggregating the five KPIs. DEA is a linear programming model for measuring the relative efficiency of decision making unit (DMUs) with multiple inputs and outputs. This study employs DEA as a tool for multiple criteria decision making (MCDM), in particular, the pure output model without inputs. Combining the two types of performance produces the online game portfolio matrix with four quadrants: Dark Horse, Stop Loss, Jack Pot, Luxury Goods. A case study of 39 online games provided by company 'N' is provided. The proposed portfolio model is expected to be fruitfully used for strategic decision making of online game companies.

이용자의 참여와 MIS 성과간의 관계에 관한 연구 (A study on the relationship between user's participation and MIS performance)

  • 유병우;김찬희
    • 경영과학
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    • 제5권1호
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    • pp.29-44
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    • 1988
  • In spite of user's participation affecting the success of the MIS project, many empirical studies, however have led to inconsistent results. This research was conducted to find the factors affecting user's participation, and the relationships between user's participation and MIS performance. To identify these problems, 43 systems operated with MIS among industries were surveyed based upon questionnaires and the personal interviews. The major findings of this study are as follows: First, the main factors affecting the user's participation out to be the MIS manager's attitude, the user manager's expectation, the MIS education and the character of user's task among 28 factors and these factors are different from stage to stage in MIS development. Second, each MIS development stage shows the different relationship between user's participation and MIS performance.

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병원정보시스템 품질이 사용자 만족과 서비스혁신 성과에 미치는 영향 (The Impacts of Hospital Information System Quality on satisfaction of system users and Service Innovation Performance)

  • 정지나
    • 한국융합학회논문지
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    • 제9권10호
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    • pp.441-448
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    • 2018
  • 본 연구의 목적은 종합병원에서 병원정보시스템 품질요인이 사용자의 만족과 서비스혁신 성과에 미치는 영향을 분석하고자 하였다. 간호사 250명을 대상으로 설문조사 하였으며, 5점 Likert 척도를 사용하여 병원정보시스템 품질, 사용자 만족, 서비스혁신 성과를 측정하였다. 자료 분석은 SPSS WIN 24.0 프로그램을 이용하여 t-test, ANOVA, correlation Regression 분석을 실시하였다. 연구결과는 서비스혁신 성과와 독립변수 간 상관계수는 시스템 품질(r=.644, p<.001), 정보품질(r=.650, p<.001), 서비스품질(r=.629), 사용자 만족(r=.831, p<.001) 으로 유의하였다. 병원정보시스템 품질과 서비스혁신성과에서 사용자 만족이 조절변수로 설명력은 78.4%로, 사용자 만족이 높을수록(B=.557, p<.001) 서비스혁신 성과가 높아지는 것으로 나타났다. 병원정보시스템의 구축에 있어 시스템 품질과 사용자 위주의 지원 및 서비스의 중요성을 바탕으로 실무적인 함의를 제시하였다.

얼굴영상을 이용한 지능형 로봇의 개인식별 및사용자 추적 성능평가 방법 (Performance Evaluation Method of User Identification and User Tracking for Intelligent Robots Using Face Images)

  • 김대진;박광현;홍지만;정영숙;최병욱
    • 로봇학회논문지
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    • 제4권3호
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    • pp.201-209
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    • 2009
  • In this paper, we deal with the performance evaluation method of user identification and user tracking for intelligent robots using face images. This paper shows general approaches for standard evaluation methods to improve intelligent robot systems as well as their algorithms. The evaluation methods proposed in this paper can be combined with the evaluation methods for detection algorithms of face region and facial components to measure the overall performance of face recognition in intelligent robots.

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RFM을 활용한 추천시스템 효율화 연구 (A Study on Improving Efficiency of Recommendation System Using RFM)

  • 정소라;진서훈
    • 대한설비관리학회지
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    • 제23권4호
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    • pp.57-64
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    • 2018
  • User-based collaborative filtering is a method of recommending an item to a user based on the preference of the neighbor users who have similar purchasing history to the target user. User-based collaborative filtering is based on the fact that users are strongly influenced by the opinions of other users with similar interests. Item-based collaborative filtering is a method of recommending an item by comparing the similarity of the user's previously preferred items. In this study, we create a recommendation model using user-based collaborative filtering and item-based collaborative filtering with consumer's consumption data. Collaborative filtering is performed by using RFM (recency, frequency, and monetary) technique with purchasing data to recommend items with high purchase potential. We compared the performance of the recommendation system with the purchase amount and the performance when applying the RFM method. The performance of recommendation system using RFM technique is better.

전자상거래 개인화 추천을 위한 상품 카테고리 중립적 사용자 프로파일링 (Cross-Product Category User Profiling for E-Commerce Personalized Recommendation)

  • 박수환;이홍주;조남재;김종우
    • Asia pacific journal of information systems
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    • 제16권3호
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    • pp.159-176
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    • 2006
  • Collaborative filtering is one of the popular techniques for personalized recommendation in e-commerce. In collaborative filtering, user profiles are usually managed per product category in order to reduce data sparsity. Product diversification of Internet storefronts and multiple product category sales of e-commerce portals require cross-product category usage of user profiles in order to overcome the cold start problem of collaborative filtering. In this paper, we study the feasibility of cross-product category usage of user profiles, and suggest a method to improve recommendation performance of cross-product category user profiling. First, we investigate whether user profiles on a product category can be used to recommend products in other product categories. Furthermore, a way of utilizing user profiles selectively is suggested to increase recommendation performance of cross-product category user profiling. The feasibility of cross-product category user profiling and the usefulness of the proposed method are tested with real click stream data of an Internet storefront which sells multiple product categories including books, music CDs, and DVDs. The experiment results show that user profiles on a product category can be used to recommend products in other product categories. Also, the selective usage of user profiles based on correlations between subcategories of two product categories provides better performance than the whole usage of user profiles.

Organizational Factors of the Successful Adoption in User-Centered Design

  • Kim, Byung-Kwan;Lee, Seung-Yong;Choi, Young-Keun
    • 유통과학연구
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    • 제15권1호
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    • pp.43-49
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    • 2017
  • Purpose - This study is to integrate organizational factors into UCD process. For this research purpose, we investigated the organizational factors which influence people behaviors in the context of user-centred design practice(UCP). And this study presents organizational culture, organizational learning and change management as the organizational factors. Especially, this study is to investigate how change management influences the relationship between the organizational culture/learning and UCD performance. Research design, data, and methodology - Using the survey methodology with a questionnaire, this study distributed the questionnaire to the experienced 112 practitioners of user-centred design practice in 52 Korean small and medium companies. The organizations differed in range and size from medium-scale, which is under 100 of employees, and to small-scale, which is from 100 to 500. Results - Organizational culture and organizational learning have positive effects on user-centred design practice performance as expected. And change management strengthens the positive relationship between organizational learning and user-centred design practice performance but has no effect on the relationship between organizational culture and user-centred design practice performance. Conclusions - This is the first empirical study of investigating and demonstrating some key organizational factors' relationships and UCD performance of an organization, which will support to institutionalize UCD within an organization, providing theoretical foundations.

지식관리시스템 사용자 만족도와 성과에 관한 연구: 재정경제부를 중심으로 (A Study on the User Satisfaction of Knowledge Management System and Performance: With Focus on the MOFE)

  • 이홍재
    • 정보관리학회지
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    • 제25권4호
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    • pp.67-85
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    • 2008
  • 본 연구에서는 공공부문에서 운영되고 있는 KMS의 성과평가의 일환으로 KMS 사용자 만족도의 선행요인 및 사용자 만족도와 성과 간의 구조적 관계를 분석하고 효과적인 KMS 운영을 위한 함의를 제시하였다. 본 연구에서 실시한 지식품질과 KMS 품질, 사용자 만족도 및 성과 간의 영향관계에 관한 구조방정식 분석결과, 연구모형에서 설정한 3개의 가설 모두가 채택되었다. 이러한 분석결과를 토대로 본 연구에서는 KMS 사용자 만족도 및 성과 향상을 위한 효과적인 KMS 운영방안을 제시하였다.

KMS의 전략 적합성 요인이 정보기술 특성 및 이용자 특성과 비재무적 성과 간에 미치는 조절적 영향 (Moderating Roles of Strategy Suitability Factors between IT Factor and User Factors on Non-financial Performance)

  • 이선규
    • 한국콘텐츠학회논문지
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    • 제17권2호
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    • pp.489-498
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    • 2017
  • 본 연구는 전략의 적합성이 정보기술 특성 및 이용자 특성과 비재무적 성과 간에 조절적 역할을 하고 있는지를 실증적으로 분석하였다. 정보기술 특성과 이용자 특성을 독립변수로 설정하였고, 성과변수로는 비재무적 성과로 설정하였으며, 기업의 경영 전략과 정보화 전략의 적합성을 조절변수로 설정하여 분석을 하였다. 정보기술 특성의 세부요인은 정보기술 성숙도와 IT/IS 기반구조로 정의하였고, 이용자 특성의 세부요인은 인지된 이익, 학습의 조직화, 사용자 전문성으로 정의하였다. 비재무적 성과는 조직원 만족, KMS 이용도로 정의하였다. 분석 결과 전략의 적합성 요인은 정보기술 특성으로 정의된 정보기술 성숙도와 IT/IS 기반구조, 이용자 특성으로 정의된 인지된 이익, 학습의 조직화, 사용자 전문성 등과 같은 변수와 비재무적성과 간에 조절적인 역할을 하는 변수임을 알 수 있었다.