• 제목/요약/키워드: Online resources

검색결과 462건 처리시간 0.022초

Customer Experience and Repurchase Intention in Multi-Channel: Customer Satisfaction as Mediating Variable

  • MUSTIKASARI, Anita;KRISNAWATI, Maria;SUTRISNO, Endro
    • 산경연구논집
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    • 제12권3호
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    • pp.7-19
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    • 2021
  • Purpose: This study aims to examine customer experience toward repurchase intention in offline and online stores and discuss customer satisfaction as a mediator variable. Research design, data, and methodology: This study investigates customer experience that consists of product, customer service, staff service, shopping environment and shopping procedure toward customer satisfaction using Regression Linear. This study also measures customer satisfaction as a mediated variable in the relationship between customer experience and repurchase intention using Sobel Test. Results: Almost all of the customer experience hypothesis is significant toward customer satisfaction, shopping process experience in the context of the online channel to customer satisfaction is not significant. We also found that customer satisfaction can be mediated variable in customer experience toward repurchase intention. Conclusions: Retails who want to make customers feel satisfied to have to make sure that have good resources in improving the product, the customer service is easy to contact to find the solution over customer problem in purchasing product, also develop the staff member skill in functional product knowledge, presentations, and communicating with customers online or offline, the retailer has to create enjoyment and pleasurable customer emotion through the shopping environment and also give seamless shopping experience to their customer in two-channel.

Designing Online Public Education Contents in Korean Medicine Using the Rapid-Prototyping Instructional Systems Design Model

  • Jiseong Hong
    • 대한한의학회지
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    • 제43권4호
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    • pp.74-88
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    • 2022
  • Objectives: The purpose of this study is to design Korean-themed online public education content in Korean medicine using rapid prototyping instructional systems design (RPISD). This study presents cases of developing and converting face-to-face general education programs designed to increase the interest in and understanding of Korean medicine for the public into online programs within a short timeframe. Methods: This qualitative study is design and development research, which used the RPISD model to analyze the available resources utilized in the rapid development of public educational content and propose systematization and optimization measures by analyzing the needs of clients, learners, and the environment. The <Treasured Mirror of Eastern Medicine(DUBG)Open Course> was developed according to the model procedure, which involved needs analysis, development of course materials and manuscript, and storyboard creation and its filming and editing. Usability tests were conducted at all stages, and the opinions of clients, instructors, experts, and instructional designers were accommodated and reflected at each stage. Results: Using the rapid prototyping model, <Treasured Mirror of Eastern Medicine(DUBG)Open Course> was organized into five classes of 20 minutes each. Each class was developed in Korean and included English, Chinese, and Japanese subtitles in addition to Korean under the cooperative instructional design among clients, subject-matter experts, instructional designer and learners. Conclusion: The cooperative instructional design of stakeholders is significant in developing Korean medicine public education content online through extensive interaction and feedback from stakeholders in the early stage of educational content development.

Affection-enhanced Personalized Question Recommendation in Online Learning

  • Mingzi Chen;Xin Wei;Xuguang Zhang;Lei Ye
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권12호
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    • pp.3266-3285
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    • 2023
  • With the popularity of online learning, intelligent tutoring systems are starting to become mainstream for assisting online question practice. Surrounded by abundant learning resources, some students struggle to select the proper questions. Personalized question recommendation is crucial for supporting students in choosing the proper questions to improve their learning performance. However, traditional question recommendation methods (i.e., collaborative filtering (CF) and cognitive diagnosis model (CDM)) cannot meet students' needs well. The CDM-based question recommendation ignores students' requirements and similarities, resulting in inaccuracies in the recommendation. Even CF examines student similarities, it disregards their knowledge proficiency and struggles when generating questions of appropriate difficulty. To solve these issues, we first design an enhanced cognitive diagnosis process that integrates students' affection into traditional CDM by employing the non-compensatory bidimensional item response model (NCB-IRM) to enhance the representation of individual personality. Subsequently, we propose an affection-enhanced personalized question recommendation (AE-PQR) method for online learning. It introduces NCB-IRM to CF, considering both individual and common characteristics of students' responses to maintain rationality and accuracy for personalized question recommendation. Experimental results show that our proposed method improves the accuracy of diagnosed student cognition and the appropriateness of recommended questions.

소호패션쇼핑몰 창업 후 사업지속에 대한 사례연구: 종단적 연구를 중심으로 (A Case Study on Business Continuity following the Establishment of a Soho Fashion Shopping Mall: Longitudinal Research)

  • 손미영
    • Human Ecology Research
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    • 제62권1호
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    • pp.1-13
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    • 2024
  • This study analyzed the current operational status, business continuity, and business continuity strategies of 11 Soho fashion shopping malls through a longitudinal case study (2019/2020 and 2022/2023). The aim was to determine how Soho fashion shopping malls are continuing their business having been successfully established in the fiercely competitive current online fashion market. Regarding changes in shopping mall operation status, all cases displayed changes in items, distribution channels, marketing channels, core values, and profit structures. After establishing the businesses, a crisis arose due to the COVID-19 pandemic, leading to difficulties in creating new customers. Moreover, there was excessive business expansion, resulting in saturation of the online platform store market. This meant companies were experiencing reduced sales (5) or difficulties in maintaining their business (3). However, there were differences in the direction of overcoming the crisis and continuing or converting the business. These revealed that to continue the business after successful establishment of an online fashion shopping mall, it is essential to have the expertise of entrepreneurs, work performance, and marketing ability, as well as differentiation capabilities such as product power and management strategy and core competitiveness that provides a relative advantage over other shopping malls. Customized government support at the level of the start-up ecosystem is also essential for the survival and business continuity of a SOHO online fashion shopping mall with poor human and material resources.

온라인 브랜드 커뮤니티 특성 및 의식이 브랜드 커뮤니티에 미치는 영향에 관한 연구 (Effects of the Online Brand Community's Characteristics and Perception on the Brand Community)

  • 김상진;이상준
    • 디지털융복합연구
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    • 제10권9호
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    • pp.165-174
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    • 2012
  • 온라인 커뮤니티는 기업이 고객과의 관계형성, 유지, 발전을 위해 중요한 방법이 되고 있다. 본 논문에서는 온라인 브랜드 커뮤니티 특성 및 의식이 소비자 커뮤니티의 충성도와 구매의도에 어떠한 영향을 미치는가를 연구하였다. 온라인 브랜드 커뮤니티 특성 요인으로 커뮤니티 명성, 사회적 실재감, 즐거움, 상호작용성을 고려하였다. 온라인 브랜드 커뮤니티 의식으로는 멤버십, 영향력, 정서적 유대, 욕구의 충족을 구성변수로 제시하였다. 연구 결과 온라인 브랜드 커뮤니티는 고객과 브랜드와의 관계를 공고히 하여 브랜드 자산에 긍정적인 영향을 미치고, 결국 고객과 기업 관계를 발전시켜 기업에게 경쟁적 우위와 전략적 자원의 원천을 제공할 수 있음을 알 수 있었다.

웹 로그분석을 이용한 실시간 온라인 마케팅 시스템 설계 및 개발에 관한 연구 (A Study on the Development of Realtime Online Maketing System Using Web Log Analytics)

  • 오재훈;김재훈;김종우
    • 한국전자거래학회지
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    • 제16권3호
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    • pp.249-261
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    • 2011
  • e-Business 시장의 폭발적 성장으로 기존의 오프라인 기업들이 e-Business 시장으로 진입하게 되었으며, 이는 e-Business 시장의 과도한 경쟁을 야기 시켰다. 이에 기업들은 키워드 광고, 이메일 광고, 배너 광고 등의 온라인 마케팅에 대한 투자를 확대하고 있다. 그러나 기존의 온라인 마케팅 방법들은 방문자를 사이트로 유입시키는 데에만 초점을 맞추고 있으며, 방문자들이 사이트로 유입 후 구매로 전환시키기 위한 방법을 제시하지 못함으로써 마케팅의 투자 대비 효과는 점점 감소하고 있다. 본 논문에서는 사이트에 유입된 방문자를 대상으로 전환율을 높임으로써 마케팅의 효과를 높일 수 있는 실시간 온라인 마케팅 시스템 (ROMS: Realtime Online Marketing System)을 제안하고 개발하였다. ROMS는 방문자 행동을 실시간으로 수집하여 방문자 행동을 분석함으로써 방문자의 정보 및 행동을 실시간으로 모니터링 할 수 있으며, 방문자의 컨텍스트 특성에 따라 개인화된 마케팅을 수행할 수 있다.

High-revenue Online Provisioning for Virtual Clusters in Multi-tenant Cloud Data Center Network

  • Lu, Shuaibing;Fang, Zhiyi;Wu, Jie
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권3호
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    • pp.1164-1183
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    • 2019
  • The rapid development of cloud computing and high requirements of operators requires strong support from the underlying Data Center Networks. Therefore, the effectiveness of using resources in the data center networks becomes a point of concern for operators and material for research. In this paper, we discuss the online virtual-cluster provision problem for multiple tenants with an aim to decide when and where the virtual cluster should be placed in a data center network. Our objective is maximizing the total revenue for the data center networks under the constraints. In order to solve this problem, this paper divides it into two parts: online multi-tenancy scheduling and virtual cluster placement. The first part aims to determine the scheduling orders for the multiple tenants, and the second part aims to determine the locations of virtual machines. We first approach the problem by using the variational inequality model and discuss the existence of the optimal solution. After that, we prove that provisioning virtual clusters for a multi-tenant data center network that maximizes revenue is NP-hard. Due to the complexity of this problem, an efficient heuristic algorithm OMS (Online Multi-tenancy Scheduling) is proposed to solve the online multi-tenancy scheduling problem. We further explore the virtual cluster placement problem based on the OMS and propose a novel algorithm during the virtual machine placement. We evaluate our algorithms through a series of simulations, and the simulations results demonstrate that OMS can significantly increase the efficiency and total revenue for the data centers.

Cereal Resources in National BioResource Project of Japan

  • Sato, Kazuhiro;Endo, Takashi R.;Kurata, Nori
    • Interdisciplinary Bio Central
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    • 제2권4호
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    • pp.13.1-13.8
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    • 2010
  • The National BioResource Project of Japan is a governmental project to promote domestic/international research activities using biological resources. The project has 27 biological resources including three cereal resources. The core center and sub-center which historically collected the cereal resources were selected for each cereal program. These resources are categorized into several different types in the project; germplasm, genetic stocks, genome resources and database information. Contents of rice resources are wild species, local varieties in East and Southwest Asia & wild relatives, MNU-induced chemical mutant lines, marker tester lines, chromosome substitution lines and other experimental lines. Contents of wheat resources are wild strains, cultivated strains, experimental lines, rye wild and cultivated strains; EST clones and full-length cDNA clones. Contents of barley resources are cultivar and experimental lines, core collection, EST/cDNA clones, BAC clones, their filters and superpool DNA. Each resource is accessible from the online database to see the contents and information about the resources. Links to the genome information and genomic tools are also important function of each database. The major contents and some examples are presented here.

전자정보원의 공동편목을 위한 상호협력 시스템에 관한 연구 -특히 OCLC의 CORC를 중심으로- (Cooperative Cataloging System for Online Resources -With a Special Regard to CORC -)

  • 여지숙;오동근
    • 한국도서관정보학회지
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    • 제33권1호
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    • pp.193-210
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    • 2002
  • 이 연구에서는 전자정보원(electronic resources)을 효율적으로 정리해서 제공하기 위해 웹사이트에서 양질의 인터넷 정보원의 위치를 확인하기 위한 참고도구로써 실험하고 있는 OCLC의 CORC (Cooperative Outline Resource Catalog)의 역사와 특징, 운영 등에 대해 종합적으로 분석하였다. 또한 이를 바탕으로 국내 도서관이 당면한 관련문제를 해결하고 유사한 시스템을 도입하기 위한 제안을 제시하였다.

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영화 흥행성과 예측을 위한 온라인 리뷰 마이닝 연구: 개봉 첫 주 온라인 리뷰를 활용하여 (Predicting Movie Revenue by Online Review Mining: Using the Opening Week Online Review)

  • 조승연;김현구;김범수;김희웅
    • 경영정보학연구
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    • 제16권3호
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    • pp.113-134
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    • 2014
  • 온라인 리뷰는 네트워크 기술의 발전을 통해 그 영향력이 확대되고 있다. 특히, 사전 정보로 통해 소비가 결정되는 영화는 온라인 리뷰가 소비자들의 영화 결정에도 중요한 영향을 미치고 있다. 이에 본 연구는 영화관련 온라인 리뷰를 영화 소비 후 소비자들의 평가 정보라 가정하고, 이를 활용한 영화 흥행성과 예측모형을 제시하고자 한다. 선행 연구를 통하여 영화관련 온라인 리뷰에 감독, 배우, 스토리, 효과 등의 독립적인 속성 및 종합적인 평가가 있음을 확인하였으며, 본 연구에서는 각 속성을 2개 이상 평가하고 있는 복합형 리뷰 10가지를 추가하여 총 15가지로 온라인 리뷰 분류하였다. 2010년부터 2013년까지 개봉한 한국영화 중 상업영화 209개의 개봉 첫 주 온라인 리뷰를 온라인 리뷰 마이닝을 진행하고, 최종적으로 리뷰 마이닝 결과를 판별분석을 통한 영화 흥행성적 예측모형을 제시한다. 판별분석을 실시한 결과, 온라인 리뷰로부터 도출된 감독, 배우, 효과 및 스토리 관련 평가와 개봉 첫 주 전체 온라인 리뷰 수가 유의미하게 변별하였다.