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Faith Formation Through Guided Participation in Practice (신앙형성과 원칙에 따르는 실천의 참여)

  • Joyce Ann Mercer
    • Journal of Christian Education in Korea
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    • v.73
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    • pp.39-54
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    • 2023
  • In this study I want to explore faith formation through the framework of practice. First, I will describe discipleship as a lifelong process of identity formation, defining Christian religious education as a faith community's intentional work of equipping people to walk in the way of Jesus through apprenticeship in faith practices. I will argue that this process is more about the teaching of practices and engaging in theological reflection on practices than it is about dispensing correct information. This idea is not original with me, but has been expounded by many others particularly in the past decade in the U.S., as part of a larger movement within theological discourse emphasizing the centrality of practice. Second, I will describe some resources from educational theorists that can help us to understand what it means to educate through practices toward an identity as Christians. And finally, I will suggest that in our complex, broken and wounded world, as Christian religious educators we especially have a calling to equip disciples in two urgent faith practices: earth-care, and dealing with conflict.

A Study of the Characteristics of Library Recommended Book Lists for Teens and the Way to Improve (청소년을 위한 도서관 추천도서 목록의 특징과 개선 방안에 관한 연구)

  • Mijin Park
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.34 no.4
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    • pp.101-124
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    • 2023
  • Book recommendations in libraries can be used as a tool to help users with vague needs browse and select books. Therefore, libraries spend a lot of time and effort to introduce various materials to their users and recommend suitable books. Meanwhile, various organizations other than libraries also publish recommended reading lists, and these lists reflect the intentions of the entity that selects the recommended books. The purpose of this study is finding out how the recommended book lists of libraries differ from the recommended reading lists of non-library organizations. To achieve this, the study limited the scope to 'teenagers', who are the main target audience for book recommendations in many organizations, and compared the recommended book lists of libraries and non-library organizations in terms of (1) the selection criteria for recommended books, (2) the characteristics of recommended books, and (3) the way of providing recommended book lists. Through this analysis, the study identified the characteristics and limitations of library recommended book lists and discussed areas for improvement.

Understanding Users' Help-Seeking Intention & Willingness to Use Weight Management Apps: Interaction Effects of Stigma Based on Thinking or Feeling AI Types (체중조절 앱에 대한 도움요청과 활용의지의 이해: 이성적 또는 감성적 타입에 따른 낙인효과의 상호작용을 중심으로)

  • FAN XUE;Kwon, So-Yeon
    • Informatization Policy
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    • v.31 no.3
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    • pp.72-87
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    • 2024
  • The recent COVID-19 pandemic has witnessed the rapid growth of the fitness app market, with weight management apps occupying a substantial market segment. In connection, a growing body of research has been conducted to examine design elements aimed at fostering user motivation and long-term engagement, without considering user characteristics, which are critical to understanding user responses to weight-loss apps. Therefore, to fill this research gap, this research focuses on the weight stigma of users and strives to examine what affects such user characteristics have on the weight-loss apps. The main findings of this study is that higher help-seeking intention and willingness to use weight management apps among those who show high weight stigma consciousness than those with low consciousness. This study further shows the interaction effects between weight stigma consciousness AI types of service. This research provides new insights on how to design elements of weight-loss apps targeting both non-stigmatized and stigmatized users. It shows that in designing public applications, feeling-based AI that considers the psychological needs of users may be more effective for individuals with weight stigma.

Analysis of Research Trends and Issues in Smart Tourism: A Comparative Study between South Korea and China (스마트관광 연구 동향 및 이슈 분석: 한국과 중국 비교연구)

  • Soo Jin Kim;Yang Gi Kim;Sang Jeong Moon
    • Smart Media Journal
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    • v.13 no.9
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    • pp.18-26
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    • 2024
  • The development of information and communication technology and advanced technologies has led to the full-fledged implementation of smart tourism in the tourism industry. Concurrently, both domestic and international research on smart tourism has been actively pursued. This study aimed to compare and analyze the trends and issues in smart tourism research between South Korea and China, to identify differences in issues related to smart tourism in both countries, and to suggest directions for future research in smart tourism. For this purpose, a text mining analysis was conducted on 69 Korean papers and 42 Chinese papers related to smart tourism published from January 2020 to June 2024. The analysis showed that Korean research on smart tourism focused heavily on improving the quality and satisfaction of tourists' experiences and understanding their behavioral intentions, while Chinese research emphasized provision of immersive contents and studies on sustainable tourism. Based on the analysis results, implications for smart tourism research were presented, along with limitations of this study and future research directions.

The influences of individual personality types on ERP system's acceptance: a preliminary test (개인의 성격유형이 ERP수용에 미치는 영향에 관한 탐색적 연구)

  • Kim, Hyun-Sang;Lee, Jang-Hyung
    • Journal of Korea Society of Industrial Information Systems
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    • v.11 no.4
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    • pp.47-65
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    • 2006
  • The application of the ERP system is becoming more common to the businesses since a firm needs to reinforce positive competitiveness and to maintain competitive advantage. The ERP system is an enterprise integration solution that converts the whole business processes through information technology. Extant research provides plenty of results about the success factors of the ERP system; however, most of the researches focus on the exterior factors such as techniques rather than on the influences that a firm's employees' individual personality has in accepting the information technology of the ERP system. The objective of this study is to investigate the role of the employees' individual personality as a factor that makes the ERP system a success. The surveys--composed of the extent of information technology acceptance about the personality type of MBTI (Myers-Briggs type indicator) and the ERP system--were given to the companies applying the ERP system The personality type of MBTI is measured by 4 types of Myers, and Davis's TAM (technology acceptance model) is used for the information technology acceptance. The results of this study are summarized as follows. First the extraversion and the judging in the personality types of MBTI have a significant influence on the information technology acceptance of the ERP system. However, the thinking and the feeling in the personality types of MBTI were analyzed to not have a critical affect on the ERP system acceptance. Second as verified in the extant research the information technology acceptance verification related to the ERP system has a significant influence on perceived ease of use, perceived usefulness, behavioral intention and actual usage of the ERP system. The results of this study can be used for a successful application of the ERP system as follows. First it offers foundation of perception that the type of the individual personality is a significant key figure for the successful use of the ERP system. Second it provides a basis for the knowledge of combining the model of information technology acceptance and the psychological factors.

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An Exploratory Study on Determinants Affecting R Programming Acceptance (R 프로그래밍 수용 결정 요인에 대한 탐색 연구)

  • Rubianogroot, Jennifer;Namn, Su Hyeon
    • Management & Information Systems Review
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    • v.37 no.1
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    • pp.139-154
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    • 2018
  • R programming is free and open source system associated with a rich and ever-growing set of libraries of functions developed and submitted by independent end-users. It is recognized as a popular tool for handling big data sets and analyzing them. Reflecting these characteristics, R has been gaining popularity from data analysts. However, the antecedents of R technology acceptance has not been studied yet. In this study we identify and investigates cognitive factors contributing to build user acceptance toward R in education environment. We extend the existing technology acceptance model by incorporating social norms and software capability. It was found that the factors of subjective norm, perceived usefulness, ease of use affect positively on the intention of acceptance R programming. In addition, perceived usefulness is related to subjective norms, perceived ease of use, and software capability. The main difference of this research from the previous ones is that the target system is not a stand-alone. In addition, the system is not static in the sense that the system is not a final version. Instead, R system is evolving and open source system. We applied the Technology Acceptance Model (TAM) to the target system which is a platform where diverse applications such as statistical, big data analyses, and visual rendering can be performed. The model presented in this work can be useful for both colleges that plan to invest in new statistical software and for companies that need to pursue future installations of new technologies. In addition, we identified a modified version of the TAM model which is extended by the constructs such as subjective norm and software capability to the original TAM model. However one of the weak aspects that might inhibit the reliability and validity of the model is that small number of sample size.

The Effect of Untact Shopping Customer Experience on Continuous Use Intention through Expectation-Confirmation Model (언택트 쇼핑의 고객경험이 기대일치 모델을 통해 지속이용의도에 미치는 영향)

  • Hong, Suji;Han, Sang-Lin
    • Journal of Service Research and Studies
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    • v.13 no.2
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    • pp.227-245
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    • 2023
  • As offline company and online·mobile startups meet in an untact shopping environment, competition among companies in untact shopping is increasing. In this situation, companies need their own clear strategy to create customer value. In particular, it is very important to focus on 'customer experience' to establish such a strategy in an untact shopping environment. Customer experience refers to all processes in which consumers meet and experience a company or brand at a touch point. In this processes consumers decide whether to continue to use the company and brand. In this situation, it is thought that it will be meaningful for research to examine the customer experience of untact shopping. Therefore, this study aimed to examine the customer experience of untact shopping, which is used by all generations after COVID-19, through experience quality, and to examine the impact on the expectation-confirmation Model of untact shopping. The results of this study are as follows. First, as a result of examining whether interaction quality, information quality, and outcome quality affect expectation-confirmation it was found that all qualities except interaction quality affect expectation matching. Second, as a result of examining whether interaction quality, information quality, and outcome quality affect perceived usefulness, it was found that all qualities except interaction quality had an effect. Next, as a result of applying the expectation confirmation model to the untact shopping environment and examining whether the expectation confirmation has an effect on use satisfaction, it was found that there was a positive effect. As a result of examining whether perceived usefulness affects use satisfaction, it was found to have a positive effect. As a result of examining whether perceived usefulness affects expectation confirmation, it was found that there is a positive effect. Finally, as a result of examining whether perceived usefulness affects the intention to continue using untact shopping, it was found to be positive. Next, as a result of examining the effect of use satisfaction on trust, it was found that there was a positive effect. Finally, as a result of investigating whether trust has an effect on the intention to continue using, it was found that there is a positive effect. Looking at the important results especially, information quality was found to have the greatest influence.

3D Interactive Virtual Space System based on VRML and EAI (VRML과 EAI를 이용한 3D 상호작용 가상공간시스템)

  • 염창근;박경환
    • Proceedings of the Korea Multimedia Society Conference
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    • 1998.10a
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    • pp.149-154
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    • 1998
  • 본 논문에서는 월드와이드웹상에서 3차원 인터페이스를 기술하는 표준 사양인 VRML과 자바의 EAI(External Authoring Interface)를 통하여 사용자 간에 발생하는 상호작용들을 동기화 시키는 방법을 소개한다. 제시한 방법에서는 별도의 독립적인 응용프로그램을 작성하거나 동기화를 위하여 확장된 VRML을 사용할 필요없이 웹브라우저와 바로 호환하여 사용할 수 있으며 기존의 방대한 웹문서와 연계가 쉬우므로 범용적인 자료구축이 가능하다. 하지만, 가장 최근의 VRML97에서조차도 VRML이 제시하는 가상공간 다중 사용자 환경의 지원은 아직 미비하다. 더 이상 단순히 3차원 월드를 탐험하는 시기는 지났으며, 같은 공간상에서 혼자가 아닌 여럿이 함께 하는 다중 사용자 환경을 제공해야 할 것이다. 이에 자바의 네트웍 기능과 가상공간의 외부에서 동적으로 월드를 제어할 수 있는 EAI를 이용하여 부족했던 다중 사용자 환경을 지원함으로써 가상 공간 시스템을 구축할 수 있다. 그러나, 가상 공간에서 일어나는 이벤트는 단지 동일 브라우저에서만 유효하기 때문에 다른 사용자에게 전달할 때는 이벤트를 원격지의 이벤트와 연동하기 위하여 다른 방법이 필요하다. 사용자 상호작용 시스템에 있어서 이러한 이벤트를 결정하는 가장 중요한 요소는 아바타의 행동양식(avatar's behavior)이라 할 수 있다. 가상 공간에서 일어나는 이벤트의 대부분이 사용자에 의해서 발생되는 것들이다. 즉, 아바타의 행위에 따라서 사용자 서로 간에 상호작용이 일어나게 되며 이들 이벤트를 서로 동기화 함으로써 실시간 3차원 상호작용 시스템을 구현한다. 이렇게 구현된 시스템을 구현한다. 이렇게 구현된 시스템은 전자 상거래, 가상 쇼핑몰, 가상 전시화, 또는 3차원 게임이나 가상교육 시스템과 같은 웹기반 응용프로그램에 사용될 수 있다.물을 보존·관리하는 것이 필요하다. 이는 도서관의 기능만으로는 감당하기 어렵기 때문에 대학정보화의 센터로서의 도서관과 공공기록물 전문 담당자로서의 대학아카이브즈가 함께 하여 대학의 공식적인 직무 관련 업무를 원활하게 지원하고, 그럼으로써 양 기관의 위상을 높이는 상승효과를 낼 수 있다.하여는, 인쇄된 일차적 정보자료의 검색방법등을 개선하고, 나아가서는 법령과 판례정보를 위한 효율적인 시스템을 구축하며, 뿐만 아니라 이용자의 요구에 충분히 대처할 수 잇는 도서관으로 변화되는 것이다. 이와 함께 가장 중요한 것은 법과대학과 사법연수원에서 법학 연구방법에 관한 강좌를 개설하여 각종 법률정보원의 활용 내지 도서관 이용방법에 관하여 교육하는 것이다.글을 연구하고, 그 결과에 의존하여서 우리의 실제의 생활에 사용하는 $\boxDr$한국어사전$\boxUl$등을 만드는 과정에서, 어떤 의미에서 실험되었다고 말할 수가 있는 언어과학의 연구의 결과에 의존하여서 수행되는 철학적인 작업이다. 여기에서는 하나의 철학적인 연구의 시작으로 받아들여지는 이 의미분석의 문제를 반성하여 본다. 것이 필요하다고 사료된다.크기에 의존하며, 또한 이러한 영향은 $(Ti_{1-x}AI_{x})N$ 피막에 존재하는 AI의 함량이 높고, 초기에 증착된 막의 업자 크기가 작을 수록 클 것으로 여겨진다. 그리고 환경의 의미의 차이에 따라 경관의 미학적 평가가 달라진 것으로 나타났다.corner$적 의도에 의한 경관구성의 일면을 확인할수 있지만 엄밀히 생각하여 보면 이러한 예의 경우도 최락의 총체적인 외형은 마찬가지로 $\ulcorner$순응$\lrcorner$의 범위를 벗어나지 않는다. 그렇기 때문에도 $\ulcorner$순응

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An Empirical Study on Influencing Factors of Switching Intention from Online Shopping to Webrooming (온라인 쇼핑에서 웹루밍으로의 쇼핑전환 의도에 영향을 미치는 요인에 대한 연구)

  • Choi, Hyun-Seung;Yang, Sung-Byung
    • Journal of Intelligence and Information Systems
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    • v.22 no.1
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    • pp.19-41
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    • 2016
  • Recently, the proliferation of mobile devices such as smartphones and tablet personal computers and the development of information communication technologies (ICT) have led to a big trend of a shift from single-channel shopping to multi-channel shopping. With the emergence of a "smart" group of consumers who want to shop in more reasonable and convenient ways, the boundaries apparently dividing online and offline shopping have collapsed and blurred more than ever before. Thus, there is now fierce competition between online and offline channels. Ever since the emergence of online shopping, a major type of multi-channel shopping has been "showrooming," where consumers visit offline stores to examine products before buying them online. However, because of the growing use of smart devices and the counterattack of offline retailers represented by omni-channel marketing strategies, one of the latest huge trends of shopping is "webrooming," where consumers visit online stores to examine products before buying them offline. This has become a threat to online retailers. In this situation, although it is very important to examine the influencing factors for switching from online shopping to webrooming, most prior studies have mainly focused on a single- or multi-channel shopping pattern. Therefore, this study thoroughly investigated the influencing factors on customers switching from online shopping to webrooming in terms of both the "search" and "purchase" processes through the application of a push-pull-mooring (PPM) framework. In order to test the research model, 280 individual samples were gathered from undergraduate and graduate students who had actual experience with webrooming. The results of the structural equation model (SEM) test revealed that the "pull" effect is strongest on the webrooming intention rather than the "push" or "mooring" effects. This proves a significant relationship between "attractiveness of webrooming" and "webrooming intention." In addition, the results showed that both the "perceived risk of online search" and "perceived risk of online purchase" significantly affect "distrust of online shopping." Similarly, both "perceived benefit of multi-channel search" and "perceived benefit of offline purchase" were found to have significant effects on "attractiveness of webrooming" were also found. Furthermore, the results indicated that "online purchase habit" is the only influencing factor that leads to "online shopping lock-in." The theoretical implications of the study are as follows. First, by examining the multi-channel shopping phenomenon from the perspective of "shopping switching" from online shopping to webrooming, this study complements the limits of the "channel switching" perspective, represented by multi-channel freeriding studies that merely focused on customers' channel switching behaviors from one to another. While extant studies with a channel switching perspective have focused on only one type of multi-channel shopping, where consumers just move from one particular channel to different channels, a study with a shopping switching perspective has the advantage of comprehensively investigating how consumers choose and navigate among diverse types of single- or multi-channel shopping alternatives. In this study, only limited shopping switching behavior from online shopping to webrooming was examined; however, the results should explain various phenomena in a more comprehensive manner from the perspective of shopping switching. Second, this study extends the scope of application of the push-pull-mooring framework, which is quite commonly used in marketing research to explain consumers' product switching behaviors. Through the application of this framework, it is hoped that more diverse shopping switching behaviors can be examined in future research. This study can serve a stepping stone for future studies. One of the most important practical implications of the study is that it may help single- and multi-channel retailers develop more specific customer strategies by revealing the influencing factors of webrooming intention from online shopping. For example, online single-channel retailers can ease the distrust of online shopping to prevent consumers from churning by reducing the perceived risk in terms of online search and purchase. On the other hand, offline retailers can develop specific strategies to increase the attractiveness of webrooming by letting customers perceive the benefits of multi-channel search or offline purchase. Although this study focused only on customers switching from online shopping to webrooming, the results can be expanded to various types of shopping switching behaviors embedded in single- and multi-channel shopping environments, such as showrooming and mobile shopping.

A Study on Enhancing Personalization Recommendation Service Performance with CNN-based Review Helpfulness Score Prediction (CNN 기반 리뷰 유용성 점수 예측을 통한 개인화 추천 서비스 성능 향상에 관한 연구)

  • Li, Qinglong;Lee, Byunghyun;Li, Xinzhe;Kim, Jae Kyeong
    • Journal of Intelligence and Information Systems
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    • v.27 no.3
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    • pp.29-56
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    • 2021
  • Recently, various types of products have been launched with the rapid growth of the e-commerce market. As a result, many users face information overload problems, which is time-consuming in the purchasing decision-making process. Therefore, the importance of a personalized recommendation service that can provide customized products and services to users is emerging. For example, global companies such as Netflix, Amazon, and Google have introduced personalized recommendation services to support users' purchasing decisions. Accordingly, the user's information search cost can reduce which can positively affect the company's sales increase. The existing personalized recommendation service research applied Collaborative Filtering (CF) technique predicts user preference mainly use quantified information. However, the recommendation performance may have decreased if only use quantitative information. To improve the problems of such existing studies, many studies using reviews to enhance recommendation performance. However, reviews contain factors that hinder purchasing decisions, such as advertising content, false comments, meaningless or irrelevant content. When providing recommendation service uses a review that includes these factors can lead to decrease recommendation performance. Therefore, we proposed a novel recommendation methodology through CNN-based review usefulness score prediction to improve these problems. The results show that the proposed methodology has better prediction performance than the recommendation method considering all existing preference ratings. In addition, the results suggest that can enhance the performance of traditional CF when the information on review usefulness reflects in the personalized recommendation service.