• Title/Summary/Keyword: Influential user

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Patterns of Information Seeking Behaviour of Law Students in Digital Environment: A Study

  • Das, Rajesh Kumar;Jadab, Anwesha
    • Journal of Information Science Theory and Practice
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    • v.5 no.1
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    • pp.15-25
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    • 2017
  • Nowadays the enormous growth of modern information communication technologies and its massive use have influenced information users all over the world. Such a digital environment has drastically changed the information seeking patterns of information users of every community. These also tend law students to use various legal information sources and services in digital environments while seeking information. But there have been few empirical user studies on the aspect of digital information seeking behaviours of law students in either law or library and information science literatures. This paper aims to draw out patterns of information seeking behavior of students of law in digital environments at the University of Dhaka. A stratified random sample survey was conducted for this study. The results show that students prefer the electronic format of information rather than printed format. Major e-resources used by them and the influential factors of use were also identified in this study. This study also identified some crucial problems for seeking information and provides suggestions for the development of electronic legal information systems.

The Comparison of The Korea Call-Centers on Consumer and Operator Satisfaction (한국철도 콜센터 이용자 및 운영자의 민족도 비교연구)

  • Park, Jung-Soo;Kim, Tae-Ho
    • Journal of the Korean Society for Railway
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    • v.11 no.5
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    • pp.449-454
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    • 2008
  • The study aims at providing an influential model with regard to the level of satisfaction over the call center users and its operator in the National Railroad Administration, while at the same time seeking for possible ways to improve service standards in the call centers for Korean railroads. As a result, it demonstrates that; in the aspect of callers, the call center personnel are required to improve their ability and reciprocating attitude toward the uses; in the aspect of the operator, they are in need of more qualified service providing including advanced facilities. In this context, it is of outstanding importance to take into account the need and demand by both of the user and the operator as for the call center.

The Study of Mobile Convenient Payments According to the Type of High and Low Value Payment Intentions (모바일 간편 결제 서비스의 고액 결제 사용의도 집단과 소액 결제 사용의도 집단 간 차이 연구)

  • Kim, Kiho;Lee, Hyoung-Yong
    • The Journal of Information Systems
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    • v.28 no.2
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    • pp.181-200
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    • 2019
  • Purpose In order to find out the influential factors to accept the mobile convenient payment service like Apple pay or Samsung Pay based on the Unified Theory of Acceptance and Use of Technology according to the type of High and Low value payments. Design/methodology/approach This research model is designed on the factors of Unified Theory of Acceptance and Use of Technology and simultaneously analysed, or performed the empirical analysis of the PLS-SEM(Partial Least Squares structural equation model) in order to forage for the association among mobile convenient payment service's features. Findings According to the empirical analysis consequence, this research confirmed that the adoption of mobile convenient payment services is influence by features on the basis of Unified Theory of Acceptance and Use of Technology, mobility, and trust. Also, this paper figure out that the behavior of an user acceptance of mobile convenient payment services according to the type of high and low value payments.

Factors for the Intra-organizational Diffusion of Big Data Systems (조직 내 빅데이터 시스템 확산에 영향을 주는 요인에 대한 연구)

  • Park, Seungkwan;Kim, Cheong
    • Journal of Information Technology Services
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    • v.18 no.2
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    • pp.97-121
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    • 2019
  • In this paper, factors affecting intra-organizational diffusion of Big Data systems from the perspective of the Big Data system vendors have been analyzed. In particular, the theory of resistance against innovation that exists in some form before the adoption or rejection of innovation has been focused on. In order to do that, the resistance has been divided into three categories : postponement, rejection and opposition. The variables affecting each type are also divided into four independent variables : perceived risk, innovation characteristics, user attributes, and organizational attributes. As a result of the survey, it was confirmed that the influences of each variable are different according to the type of resistance. As the strength of the resistance was increased, the influence of the trialability was increased as well. As the strength of the resistance was decreased, the satisfaction with the existing system became more influential on the resistance. The time risk and the satisfaction with the existing system were found to affect all types of resistance. From the vendor's point of view, strategic implications are presented in terms of marketing or system development for diffusion, depending on the degree of resistance of the adopter.

Generic and adaptive probabilistic safety assessment models: Precursor analysis and multi-purpose utilization

  • Ayoub, Ali;Kroger, Wolfgang;Sornette, Didier
    • Nuclear Engineering and Technology
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    • v.54 no.8
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    • pp.2924-2932
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    • 2022
  • Motivated by learning from experience and exploiting existing knowledge in civil nuclear operations, we have developed in-house generic Probabilistic Safety Assessment (PSA) models for pressurized and boiling water reactors. The models are computationally light, handy, transparent, user-friendly, and easily adaptable to account for major plant-specific differences. They cover the common internal initiating events, frontline and support systems reliability and dependencies, human-factors, common-cause failures, and account for new factors typically overlooked in many PSAs. For quantification, the models use generic US reliability data, precursor analysis reports, the ETHZ Curated Nuclear Events Database, and experts' opinions. Moreover, uncertainties in the most influential basic events are addressed. The generated results show good agreement with assessments available in the literature with detailed PSAs. We envision the models as an unbiased framework to measure nuclear operational risk with the same "ruler", and hence support inter-plant risk comparisons that are usually not possible due to differences in plant-specific PSA assumptions and scopes. The models can be used for initial risk screening, order-of-magnitude precursor analysis, and other research/pedagogic applications especially when no plant-specific PSAs are available. Finally, we are using the generic models for large-scale precursor analysis that will generate big picture trends, lessons, and insights.

Con-Metaverse: Analysis of Performance Factor of Activate the Application of the Metaverse to the Construction Industry (건설 메타버스(Con-Metaverse): 메타버스의 건설 산업 적용 활성화를 위한 영향인자 분석)

  • Yu, Chaeyeon;Kim, Sungjin
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.05a
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    • pp.81-82
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    • 2023
  • Since the COVID-19 pandemic, the importance of remote work has been emphasized, and new digital technologies are rapidly being developed. One such digital technology is the metaverse, which combines reality and virtual space to create an expanded digital world. The metaverse can provide online collaborative spaces that visualize and transmit information and data in real-time. When applied to construction sites, this technology is expected to enable more efficient and stable project management. However, research on construction metaverses, both domestically and internationally, is still inadequate. In this study, 16 influential factors for promoting the application of metaverses to the construction industry were identified through the initial stages of the system dynamics technique. These performance factors were classified into four categories: systemrelated factors for metaverse site construction, device-related factors, user-related factors, and construction site-related factors. It is expected that this study will promote research on the activation of Con-Metaverse by developing casual loop diagrams(CLD) to identify the relationship between each performance factor and constructing stock & flow diagrams(SFD) for simulations in future studies.

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Influence of Physical Environment Perception on Park Use for Health Improvement - Focused on Neighborhood Parks in Suseong-gu, Daegu City - (공원 내 물리적 환경인식이 건강증진 목적의 공원이용에 미치는 영향 - 대구광역시 수성구 근린공원을 대상으로 -)

  • Jang, Cheol-Kyu;Jung, Sung-Gwan;Lee, Woo-Sung
    • Journal of the Korean Institute of Landscape Architecture
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    • v.44 no.5
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    • pp.68-80
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    • 2016
  • This study analyzed the influence of the perception of physical environment on user satisfaction and park use when people use the park to improve their health. The study is focused on neighborhood parks in Suseong-gu, Daegu city. Statistical analyses were employed to data collected from 143 visitors on site. First of all, in the perception evaluation of the physical environment of the park, accessibility and pedestrian environment are the highest at 4.04, while water space and attractions in the park as the lowest parts are at 2.32 and 2.66. After conduct factor analysis to type 22 physical environmental awareness components, five main factors--Comfort, Availability, Amenity, Facilities convenience and Visuality--were classified. Then, satisfaction and influence on park use were analyzed. As a result, the factors affecting user satisfaction were comfort, availability, amenity and facility convenience. Among them, the category of amenity was the most influential factor at 0.315. The factors affecting the park use were availability and amenity. Availability factor had a higher influence at 0.396 than amenity at 0.293. Therefore, in order to improve satisfaction and park use for health improvement, it is necessary to secure sufficient green areas and create a pleasant environment. Also, it is necessary to improve the quality of walkability from homes to parks, trail improvement and other improvements.

An Influence Value Algorithm based on Social Network in Knowledge Retrieval Service (지식검색 서비스에서의 소셜 네트워크 기반 영향력 지수 알고리즘)

  • Choi, Chang-Hyun;Park, Gun-Woo;Lee, Sang-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.10
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    • pp.43-53
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    • 2009
  • Knowledge retrieval service that uses collective intelligence which has special quality of open structure and can share the accumulative data is gaining popularity. However, acquiring the right needs for users from massive public knowledge is getting harder. Recently, search results from Google which is known for it's exquisite algorism, shows results for collective intelligence such as Wikipedia, Yahoo Q/A at the highest rank. Objective of this paper is to show that most answers come from human and to find the most influential people in on-line knowledge retrieval service. Hereupon, this paper suggest the influence value calculation algorism by analyzing user relation as centrality which social network is based on user activeness and reliance in Naver 지식iN. The influence value calculated by the suggested algorism will be an important index in distinguishing reliable and the right user for the question by ranking users with troubleshooting solutions in the knowledge retrieval service. This will contribute in search satisfaction by acquiring the right information and knowledge for the users which is the most important objective for knowledge retrieval service.

A Qualitative Study on Facilitating Factors of User-Created Contents: Based on Theories of Folklore (사용자 제작 콘텐츠의 활성화 요인에 대한 정성적 연구: 구비문학 이론을 중심으로)

  • Jung, Seung-Ki;Lee, Ki-Ho;Lee, In-Seong;Kim, Jin-Woo
    • Asia pacific journal of information systems
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    • v.19 no.2
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    • pp.43-72
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    • 2009
  • Recently, user-created content (UCC) have emerged as popular medium of on-line participation among users. The Internet environment has been constantly evolving, attracting active participation and information sharing among common users. This tendency is a significant deviation from the earlier Internet use as an one-way information channel through which users passively received information or contents from contents providers. Thanks to UCCs online users can now more freely generate and exchange contents; therefore, identifying the critical factors that affect content-generating activities has increasingly become an important issue. This paper proposes a set of critical factors for stimulating contents generation and sharing activities by Internet users. These factors were derived from the theories of folklores such as tales and songs. Based on some shared traits of folklores and UCC content, we found four critical elements which should be heeded in constructing UCC contents, which are: context of culture, context of situation, skill of generator, and response of audience. In addition, we selected three major UCC websites: a specialized contents portal, a general internet portal, and an official contents service site, They have different use environments, user interfaces, and service policies, To identify critical factors for generating, sharing and transferring UCC, we traced user activities, interactions and flows of content in the three UCC websites. Moreover, we conducted extensive interviews with users and operators as well as policy makers in each site. Based on qualitative and quantitative analyses of the data, this research identifies nine critical factors that facilitate contents generation and sharing activities among users. In the context of culture, we suggest voluntary community norms, proactive use of copyrights, strong user relationships, and a fair monetary reward system as critical elements in facilitating the process of contents generation and sharing activities. Norms which were established by users themselves regulate user behavior and influence content format. Strong relationships of users stimulate content generation activities by enhancing collaborative content generation. Particularly, users generate contents through collaboration with others, based on their enhanced relationship and specialized skills. They send and receive contents by leaving messages on website or blogs, using instant messenger or SMS. It is an interesting and important phenomenon, because the quality of contents can be constantly improved and revised, depending on the specialized abilities of those engaged in a particular content. In this process, the reward system is an essential driving factor. Yet, monetary reward should be considered only after some fair criterion is established. In terms of the context of the situation, the quality of contents uploading system was proposed to have strong influence on the content generating activities. Among other influential factors on contents generation activities are generators' specialized skills and involvement of the users were proposed. In addition, the audience response, especially effective development of shared interests as well as feedback, was suggested to have significant influence on contents generation activities. Content generators usually reflect the shared interest of others. Shared interest is a distinct characteristic of UCC and observed in all the three websites, in which common interest is formed by the "threads" embedded with content. Through such threads of information and contents users discuss and share ideas while continuously extending and updating shared contents in the process. Evidently, UCC is a new paradigm representing the next generation of the Internet. In order to fully utilize this innovative paradigm, we need to understand how users take advantage of this medium in generating contents, and what affects their content generation activities. Based on these findings, UCC service providers should design their websites as common playground where users freely interact and share their common interests. As such this paper makes an important first step to gaining better understand about this new communication paradigm created by UCC.

Analysis of Twitter for 2012 South Korea Presidential Election by Text Mining Techniques (텍스트 마이닝을 이용한 2012년 한국대선 관련 트위터 분석)

  • Bae, Jung-Hwan;Son, Ji-Eun;Song, Min
    • Journal of Intelligence and Information Systems
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    • v.19 no.3
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    • pp.141-156
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    • 2013
  • Social media is a representative form of the Web 2.0 that shapes the change of a user's information behavior by allowing users to produce their own contents without any expert skills. In particular, as a new communication medium, it has a profound impact on the social change by enabling users to communicate with the masses and acquaintances their opinions and thoughts. Social media data plays a significant role in an emerging Big Data arena. A variety of research areas such as social network analysis, opinion mining, and so on, therefore, have paid attention to discover meaningful information from vast amounts of data buried in social media. Social media has recently become main foci to the field of Information Retrieval and Text Mining because not only it produces massive unstructured textual data in real-time but also it serves as an influential channel for opinion leading. But most of the previous studies have adopted broad-brush and limited approaches. These approaches have made it difficult to find and analyze new information. To overcome these limitations, we developed a real-time Twitter trend mining system to capture the trend in real-time processing big stream datasets of Twitter. The system offers the functions of term co-occurrence retrieval, visualization of Twitter users by query, similarity calculation between two users, topic modeling to keep track of changes of topical trend, and mention-based user network analysis. In addition, we conducted a case study on the 2012 Korean presidential election. We collected 1,737,969 tweets which contain candidates' name and election on Twitter in Korea (http://www.twitter.com/) for one month in 2012 (October 1 to October 31). The case study shows that the system provides useful information and detects the trend of society effectively. The system also retrieves the list of terms co-occurred by given query terms. We compare the results of term co-occurrence retrieval by giving influential candidates' name, 'Geun Hae Park', 'Jae In Moon', and 'Chul Su Ahn' as query terms. General terms which are related to presidential election such as 'Presidential Election', 'Proclamation in Support', Public opinion poll' appear frequently. Also the results show specific terms that differentiate each candidate's feature such as 'Park Jung Hee' and 'Yuk Young Su' from the query 'Guen Hae Park', 'a single candidacy agreement' and 'Time of voting extension' from the query 'Jae In Moon' and 'a single candidacy agreement' and 'down contract' from the query 'Chul Su Ahn'. Our system not only extracts 10 topics along with related terms but also shows topics' dynamic changes over time by employing the multinomial Latent Dirichlet Allocation technique. Each topic can show one of two types of patterns-Rising tendency and Falling tendencydepending on the change of the probability distribution. To determine the relationship between topic trends in Twitter and social issues in the real world, we compare topic trends with related news articles. We are able to identify that Twitter can track the issue faster than the other media, newspapers. The user network in Twitter is different from those of other social media because of distinctive characteristics of making relationships in Twitter. Twitter users can make their relationships by exchanging mentions. We visualize and analyze mention based networks of 136,754 users. We put three candidates' name as query terms-Geun Hae Park', 'Jae In Moon', and 'Chul Su Ahn'. The results show that Twitter users mention all candidates' name regardless of their political tendencies. This case study discloses that Twitter could be an effective tool to detect and predict dynamic changes of social issues, and mention-based user networks could show different aspects of user behavior as a unique network that is uniquely found in Twitter.