• Title/Summary/Keyword: Online Collaboration

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RDD with Follow-Up Texting: A New Attempt to Build a Probability-Based Online Panel in South Korea

  • Dong-Hoon Seol;Deok-Hyun Jang;Sarah Prusoff LoCascio
    • Asian Journal for Public Opinion Research
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    • v.11 no.3
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    • pp.257-273
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    • 2023
  • Conducting face-to-face surveys is difficult and cost prohibitive, necessitating a new attempt to build a probability-based panel in South Korea. Since 99.9% of adult Koreans own a mobile phone, mobile phone numbers provide a viable sampling frame. Random digit dialing (RDD) surveys were conducted August-December 2021. Of the 288,056 valid phone numbers dialed, 13,655 respondents between the ages of 19 and 69 completed a phone survey. These respondents were later invited by text message to join a panel; 3,202 of these (23.4% or 1.2% based on the number initially contacted) joined the panel. When compared to official government statistics like resident registration data, the census, or the Social Survey, this new probability-based panel can be said to be representative of the Korean population on the basis of age, gender, location, marital status, and household size after weighting is applied. However, even after weighting, panel members are more educated than the general population, white-collar workers and self-employed people are overrepresented, and blue-collar workers are underrepresented. As of February 2023, this panel has grown to 10,471 participants with plans to continue to invite more panel members in the same way. Based on the comparisons in this paper, we can regard this panel as a cost-effective, probability-based panel that may be used for various kinds of public opinion research, by researchers both within and outside of Korea. As we continue to refine and grow this panel, we hope it will become more widely used by researchers as well as provide a model for those building similar panels in other countries.

Digital humanities Research Trends on Marcel Proust (마르셀 프루스트에 관한 디지털인문학적 연구 동향분석)

  • Jinyoung MIN
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.181-188
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    • 2024
  • Fueled by the digital transformation era, the 150th anniversary of Marcel Proust's birth (2021) and 100th anniversary of his death (2022) witnessed a surge in digital humanities research. This goes beyond supplementing traditional methods; it fosters new approaches like Nicolas Lagonneau's 'Proustonomics' website (archiving online/offline Proust discourse) and 'Proustographe' (quantifying and visualizing data related to Proust). The Buffalo Proust Project (2021) provided online access to materials on his life and works, while the Corr-Proust project digitized his correspondence. While Korea lacks established digital Proust research, recent analysis of academic paper vocabulary (through word frequencies and word clouds) reveals significant thematic and quantitative development around 2000, paving the way for future Korean ventures in this exciting field. Digital humanities research offers the potential to unearth new research topics, enhance efficiency, and promote international collaboration, ultimately leading to a deeper understanding of Proust and groundbreaking advancements in the field.

Impact of Agile Leadership and Organizational Justice on Job Commitment in Finance Sales (Agile Leadership과 조직 공정성이 금융 Sales 종업원의 직무 몰입에 미치는 영향)

  • Ha, You-jin;Kang, Shin-gi
    • Journal of Venture Innovation
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    • v.6 no.3
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    • pp.203-220
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    • 2023
  • This study conducted an empirical analysis of the factors affecting the job commitment of employees within a financial sales organization, focusing particularly on agile leadership and organizational justice. Agile leadership was subdivided into four components: adaptability, collaboration promotion, proficiency, and an agile approach, whereas organizational justice was broken down into distributive justice, procedural justice, and interactional justice. Data were gathered through an online survey, and 245 valid responses were subjected to hierarchical regression analysis. The results revealed a significant positive effect of distributive justice, interactional justice, adaptability, promotion of collaboration, and an agile approach on job commitment among the employees of the financial sales organization. However, the influence of proficiency, a component of agile leadership, and procedural justice, a dimension of organizational justice, did not prove to be statistically significant. The order of influence among the significant variables was found to be: adaptability, interactional justice, promotion of collaboration, distributive justice, and an agile approach. These findings confirmed the impact of agile leadership in financial sales organizations, traditionally viewed as conservative, and suggested practical implications for the financial sector to adapt in anticipation of the Fourth Industrial Revolution.

Learning Material Bookmarking Service based on Collective Intelligence (집단지성 기반 학습자료 북마킹 서비스 시스템)

  • Jang, Jincheul;Jung, Sukhwan;Lee, Seulki;Jung, Chihoon;Yoon, Wan Chul;Yi, Mun Yong
    • Journal of Intelligence and Information Systems
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    • v.20 no.2
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    • pp.179-192
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    • 2014
  • Keeping in line with the recent changes in the information technology environment, the online learning environment that supports multiple users' participation such as MOOC (Massive Open Online Courses) has become important. One of the largest professional associations in Information Technology, IEEE Computer Society, announced that "Supporting New Learning Styles" is a crucial trend in 2014. Popular MOOC services, CourseRa and edX, have continued to build active learning environment with a large number of lectures accessible anywhere using smart devices, and have been used by an increasing number of users. In addition, collaborative web services (e.g., blogs and Wikipedia) also support the creation of various user-uploaded learning materials, resulting in a vast amount of new lectures and learning materials being created every day in the online space. However, it is difficult for an online educational system to keep a learner' motivation as learning occurs remotely, with limited capability to share knowledge among the learners. Thus, it is essential to understand which materials are needed for each learner and how to motivate learners to actively participate in online learning system. To overcome these issues, leveraging the constructivism theory and collective intelligence, we have developed a social bookmarking system called WeStudy, which supports learning material sharing among the users and provides personalized learning material recommendations. Constructivism theory argues that knowledge is being constructed while learners interact with the world. Collective intelligence can be separated into two types: (1) collaborative collective intelligence, which can be built on the basis of direct collaboration among the participants (e.g., Wikipedia), and (2) integrative collective intelligence, which produces new forms of knowledge by combining independent and distributed information through highly advanced technologies and algorithms (e.g., Google PageRank, Recommender systems). Recommender system, one of the examples of integrative collective intelligence, is to utilize online activities of the users and recommend what users may be interested in. Our system included both collaborative collective intelligence functions and integrative collective intelligence functions. We analyzed well-known Web services based on collective intelligence such as Wikipedia, Slideshare, and Videolectures to identify main design factors that support collective intelligence. Based on this analysis, in addition to sharing online resources through social bookmarking, we selected three essential functions for our system: 1) multimodal visualization of learning materials through two forms (e.g., list and graph), 2) personalized recommendation of learning materials, and 3) explicit designation of learners of their interest. After developing web-based WeStudy system, we conducted usability testing through the heuristic evaluation method that included seven heuristic indices: features and functionality, cognitive page, navigation, search and filtering, control and feedback, forms, context and text. We recruited 10 experts who majored in Human Computer Interaction and worked in the same field, and requested both quantitative and qualitative evaluation of the system. The evaluation results show that, relative to the other functions evaluated, the list/graph page produced higher scores on all indices except for contexts & text. In case of contexts & text, learning material page produced the best score, compared with the other functions. In general, the explicit designation of learners of their interests, one of the distinctive functions, received lower scores on all usability indices because of its unfamiliar functionality to the users. In summary, the evaluation results show that our system has achieved high usability with good performance with some minor issues, which need to be fully addressed before the public release of the system to large-scale users. The study findings provide practical guidelines for the design and development of various systems that utilize collective intelligence.

Predicting Health Communication Patterns in Follower-Influencer Networks: The Case of Taiwan Amid COVID-19

  • Chang, Angela;Jiao, Wen
    • Asian Journal for Public Opinion Research
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    • v.8 no.3
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    • pp.246-264
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    • 2020
  • As netizens increasingly utilize social media to obtain and engage with information, this study aims to determine the extent to which the follower-influencer interaction is manifested and strengthened. To analyze information related to the novel coronavirus disease (COVID-19), a total of 62,119 online posts from 11 Internet forums were examined to find a relationship between followers and influencers in Taiwan. These forums are PTT, SOGO, Ck101, Plurk, Mobile01, TalkFetnet, Gamez, PlaySport, Dcard, Eyny, and PCDVD. The variables that were the best predictors of influencer classification were strong influences, engagements, and hot values across 11 Internet forums. Learning the response to the COVID-19 pandemic is vital because public actions could have been fueled by stigmatizing terms that may harm public health and well-being. The results questioned the conventional diffusion of traditional news sources because the influencers brought widespread attention to the health threat issues in the early outbreak stages. This study enhances the understanding of forum types, follower engagement, and influencers' impact maximization in social networks. The conclusion provides insight into the relationships and information diffusion mechanisms to ensure accurate health information dissemination.

Knowledge, Attitude and Practice Toward the Coronavirus Disease (COVID-19) Outbreak Among Selected Employed People in the National Capital Region, Philippines

  • Bautista, Angelito P. Jr.;Balibrea, Dianne;Bleza, Doris G.
    • Asian Journal for Public Opinion Research
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    • v.8 no.3
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    • pp.324-350
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    • 2020
  • COVID-19 has challenged the pandemic response capability of many countries. Many governments around the world have imposed strict quarantine measures and border control to slow the spread of the virus. In the Philippines, the longest community quarantine has been imposed in the National Capital Region (NCR). However, the effectiveness of such measures is dependent on the cooperation of the public. The objective of this study was to gain an understanding of the knowledge, attitudes, and practices (KAP) of selected employees in the NCR. An online survey was conducted June 4-18, 2020, with 100 employed people living in the NCR. Frequencies and percentages were computed to describe the respondents' answers, and the Kruskal-Wallis test was used to determine the differences in the respondents' KAP levels according to selected demographic characteristics. Of those surveyed, 92% have a high knowledge of COVID-19. The respondents have a positive attitude toward the need for health education and the seriousness of COVID-19, as well as stricter measures against the pandemic, but are less positive in terms of how the government is responding to the pandemic. They also follow strict measures that will prevent the further spread of the virus. The results highlight the respondents' favorability of stricter government measures to control the spread of COVID-19, including the reimposition of an enhanced community quarantine in the NCR.

The values evident in strengthening community actions: health plus happiness plus projects in Gyeongsangnam-Do (주민주도형 건강증진전략이 수반하는 가치: 경상남도 건강플러스 행복플러스 사업을 중심으로)

  • Kim, Jang-Rak;Jeong, Baekgeun;Park, Ki-Soo;Kang, Yune-Sik
    • Korean Journal of Health Education and Promotion
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    • v.32 no.4
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    • pp.13-23
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    • 2015
  • Objectives: his study was performed to examine whether a community organization strategy had been driven by core values explicit in Ottawa Charter and to give some suggestions for using values in health promotion practice in Korea. Methods: We searched literature online with key words of 'values', 'health promotion', and/or 'Ottawa Charter', etc, and reviewed published papers on design, implementation, and evaluation of Health Plus Happiness Plus Projects in Gyeongsangnam-Do, a community organization strategy. Results: Evident core values since Ottawa Charter had been holistic definition of health, empowerment, community participation, addressing the impact of broader determinants of health, reducing social inequities and injustice, and intersectoral collaboration. A community organization strategy was good at realization of most values. Some ways for value-driven health promotion practice were suggested. Conclusions: More discussion and debate on values in health promotion are needed in Korea.

A Study on the User Acceptance Model of Mass Collective Intelligence (대중 집단지성의 사용자 수용 모형에 관한 연구)

  • Lee, Hyoung-Yong;Ahn, Hyun-Chul
    • Journal of Information Technology Applications and Management
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    • v.17 no.4
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    • pp.1-17
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    • 2010
  • As web technologies evolve and so-called Web 2.0 technologies appear, collective intelligence is being applied in widespread areas. In general, mass collective intelligence like Wikipedia is created, revised, and managed by anonymous participants in an uncontrolled system. Thus, the knowledge provided by mass collective intelligence may be distorted, and may not be true, which may affect the user acceptance behavior. However, there have been few academic studies that analyzed the factors that affect user acceptance of mass collective intelligence, and their relationships. Under this academic background, we develop a model to examine how mass collective intelligence is accepted by users. The theoretical model is validated through an online survey of the Wikipedia users from three universities in Korea. The results reveal that the users will have positive attitude towards adopting mass collective knowledge when they perceive that the knowledge from mass collective intelligence is useful. We also find that the perceived usefulness of the knowledge is affected by perceived knowledge quality and trust in knowledge contributors. The results also suggest that perceived knowledge quality is determined by perceived level of collaboration, perceived objectivity, and recipient expertise, whereas trust in knowledge contributors is determined by natural propensity to trust and perceived objectivity. Theoretical and practical implications about mass collective knowledge are discussed.

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Interactive Social U-Learning Community Design (상호작용이 가능한 사회적 U-LEARNING 공동체 설계)

  • Kim, Hye-Jin
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.11 no.5
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    • pp.193-201
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    • 2011
  • This paper presents the holistic notion and model of an open social u-learning community, anchored with open content, providing an interactive online study group experience akin to sitting with study buddies on a world-wide campus quad. The interactive social u-learning community design helps conceptualize and maximize advantages of ubiquitous environment in learning. The model is enabled by state-of-the-art web technologies; real-time collaboration technologies for a highly interactive experience; intelligent recommender systems to help learners connect with relevant content and other learners; and mining and analytics to assess learner outcomes. Hence, u-learning design is highly scalable yet interactive and engaging.

Formalizing the Role of Social Capital on Individuals' Continuous Use of Social Networking Sites from a Social Cognitive Perspective

  • Guo, Yu;Li, Yiwei;Ito, Naoya
    • Asian Journal for Public Opinion Research
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    • v.1 no.2
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    • pp.90-102
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    • 2014
  • By integrating useful insights from social cognitive theory and social capital theory, we aim to develop a model for better understanding people's behaviors related to the use of social networking sites (SNSs) and formalize the role of social capital in individuals' continuous SNS use. Propositions that emphasize the triadic interactive relationships among environmental, personal, and behavioral factors were highlighted in this study. After reviewing previous studies, in this paper we proposed the following: (1) the causation between SNS use and individuals' perceived social capital might be mutual; social capital may not only be the result of media selectivity, but could also be an essential stimulus initiating the start of using SNSs; (2) the influences of SNSs use on the generation of individuals' online social capital might be conditional upon particular patterns of use; (3) both the level of dependence on SNSs and the differentiated patterns of SNSs use vary according to individuals' perceived offline social capital and their personal characteristics, for instance, personality or self-construal, and social anxiety.