• 제목/요약/키워드: Online Networking

검색결과 179건 처리시간 0.022초

온라인 네트워킹 활동이 가상협업 역량 및 업무성과에 미치는 영향 (The Influence of Online Social Networking on Individual Virtual Competence and Task Performance in Organizations)

  • 서아영;신경식
    • Asia pacific journal of information systems
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    • 제22권2호
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    • pp.39-69
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    • 2012
  • With the advent of communication technologies including electronic collaborative tools and conferencing systems provided over the Internet, virtual collaboration is becoming increasingly common in organizations. Virtual collaboration refers to an environment in which the people working together are interdependent in their tasks, share responsibility for outcomes, are geographically dispersed, and rely on mediated rather than face-to face, communication to produce an outcome. Research suggests that new sets of individual skill, knowledge, and ability (SKAs) are required to perform effectively in today's virtualized workplace, which is labeled as individual virtual competence. It is also argued that use of online social networking sites may influence not only individuals' daily lives but also their capability to manage their work-related relationships in organizations, which in turn leads to better performance. The existing research regarding (1) the relationship between virtual competence and task performance and (2) the relationship between online networking and task performance has been conducted based on different theoretical perspectives so that little is known about how online social networking and virtual competence interplay to predict individuals' task performance. To fill this gap, this study raises the following research questions: (1) What is the individual virtual competence required for better adjustment to the virtual collaboration environment? (2) How does online networking via diverse social network service sites influence individuals' task performance in organizations? (3) How do the joint effects of individual virtual competence and online networking influence task performance? To address these research questions, we first draw on the prior literature and derive four dimensions of individual virtual competence that are related with an individual's self-concept, knowledge and ability. Computer self-efficacy is defined as the extent to which an individual beliefs in his or her ability to use computer technology broadly. Remotework self-efficacy is defined as the extent to which an individual beliefs in his or her ability to work and perform joint tasks with others in virtual settings. Virtual media skill is defined as the degree of confidence of individuals to function in their work role without face-to-face interactions. Virtual social skill is an individual's skill level in using technologies to communicate in virtual settings to their full potential. It should be noted that the concept of virtual social skill is different from the self-efficacy and captures an individual's cognition-based ability to build social relationships with others in virtual settings. Next, we discuss how online networking influences both individual virtual competence and task performance based on the social network theory and the social learning theory. We argue that online networking may enhance individuals' capability in expanding their social networks with low costs. We also argue that online networking may enable individuals to learn the necessary skills regarding how they use technological functions, communicate with others, and share information and make social relations using the technical functions provided by electronic media, consequently increasing individual virtual competence. To examine the relationships among online networking, virtual competence, and task performance, we developed research models (the mediation, interaction, and additive models, respectively) by integrating the social network theory and the social learning theory. Using data from 112 employees of a virtualized company, we tested the proposed research models. The results of analysis partly support the mediation model in that online social networking positively influences individuals' computer self-efficacy, virtual social skill, and virtual media skill, which are key predictors of individuals' task performance. Furthermore, the results of the analysis partly support the interaction model in that the level of remotework self-efficacy moderates the relationship between online social networking and task performance. The results paint a picture of people adjusting to virtual collaboration that constrains and enables their task performance. This study contributes to research and practice. First, we suggest a shift of research focus to the individual level when examining virtual phenomena and theorize that online social networking can enhance individual virtual competence in some aspects. Second, we replicate and advance the prior competence literature by linking each component of virtual competence and objective task performance. The results of this study provide useful insights into how human resource responsibilities assess employees' weakness and strength when they organize virtualized groups or projects. Furthermore, it provides managers with insights into the kinds of development or training programs that they can engage in with their employees to advance their ability to undertake virtual work.

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Critical Factors Affecting Consumer Acceptance of Online Health Communication: An Application of Service Quality Models

  • Lee, Jung Wan
    • The Journal of Asian Finance, Economics and Business
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    • 제4권3호
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    • pp.85-94
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    • 2017
  • The paper examines critical factors affecting consumer behavioral intentions in accepting online health communication through social networking sites. Unlike recent research under this topic, the paper assimilates some components of service quality dimensions and consumer behavior theories. The paper employs factor analysis and structural equation modelling analysis with latent variables to identify critical factors from the survey data collected from Korean consumers. The results of the study identifies three major constructs: consumer needs for health information, the perceived value of tangible attributes of health information providers, and the perceived value of intangible attributes of health information providers. The results show that consumer needs for health information and the tangible and intangible attributes of health information providers should be considered as important antecedents of accepting online health communication through social networking sites. The findings suggest that the success of online health communication via social networking sites largely depends on the tangible and intangible attributes of health information providers.

TwittsIn: 장소 인식을 이용한 모바일 트위터 친구 알림 서비스 (TwittsIn: Twitter Friend Notification Service for Mobile Devices Using Place Recognition)

  • 장래영;이민규;조준희;한동수
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제16권7호
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    • pp.814-818
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    • 2010
  • 온라인 소셜 네트워킹 서비스는 현실에 존재하는 인적 네트워크를 온라인 상에서도 형성할 수 있는 서비스를 제공해준다. 최근 급격하게 확산되고 있는 트위터는 온라인으로 형성된 소셜 네트워킹 서비스가 무한히 커질 수 있음을 보여주었다. 본 연구에서는 트위터 메시지와 장소 인식 기술을 통해 근처에 있는 트위터 친구의 존재를 알려주는 서비스를 제안한다. 본 서비스가 제공해주는 기능을 효과적으로 활용하여 오프라인 만남이 활성화되면 온라인으로 형성된 소셜 네트워크가 현실에 존재하는 인맥으로 확장되는 효과를 거둘 수 있다.

Identifying Influential People Based on Interaction Strength

  • Zia, Muhammad Azam;Zhang, Zhongbao;Chen, Liutong;Ahmad, Haseeb;Su, Sen
    • Journal of Information Processing Systems
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    • 제13권4호
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    • pp.987-999
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    • 2017
  • Extraction of influential people from their respective domains has attained the attention of scholastic community during current epoch. This study introduces an innovative interaction strength metric for retrieval of the most influential users in the online social network. The interactive strength is measured by three factors, namely re-tweet strength, commencing intensity and mentioning density. In this article, we design a novel algorithm called IPRank that considers the communications from perspectives of followers and followees in order to mine and rank the most influential people based on proposed interaction strength metric. We conducted extensive experiments to evaluate the strength and rank of each user in the micro-blog network. The comparative analysis validates that IPRank discovered high ranked people in terms of interaction strength. While the prior algorithm placed some low influenced people at high rank. The proposed model uncovers influential people due to inclusion of a novel interaction strength metric that improves results significantly in contrast with prior algorithm.

EHMM-CT: An Online Method for Failure Prediction in Cloud Computing Systems

  • Zheng, Weiwei;Wang, Zhili;Huang, Haoqiu;Meng, Luoming;Qiu, Xuesong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권9호
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    • pp.4087-4107
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    • 2016
  • The current cloud computing paradigm is still vulnerable to a significant number of system failures. The increasing demand for fault tolerance and resilience in a cost-effective and device-independent manner is a primary reason for creating an effective means to address system dependability and availability concerns. This paper focuses on online failure prediction for cloud computing systems using system runtime data, which is different from traditional tolerance techniques that require an in-depth knowledge of underlying mechanisms. A 'failure prediction' approach, based on Cloud Theory (CT) and the Hidden Markov Model (HMM), is proposed that extends the HMM by training with CT. In the approach, the parameter ω is defined as the correlations between various indices and failures, taking into account multiple runtime indices in cloud computing systems. Furthermore, the approach uses multiple dimensions to describe failure prediction in detail by extending parameters of the HMM. The likelihood and membership degree computing algorithms in the CT are used, instead of traditional algorithms in HMM, to reduce computing overhead in the model training phase. Finally, the results from simulations show that the proposed approach provides very accurate results at low computational cost. It can obtain an optimal tradeoff between 'failure prediction' performance and computing overhead.

Social Networking Site Usage, Social Capital and Entrepreneurial Intention: An Empirical Study from Saudi Arabia

  • HODA, Najmul;FALLATAH, Mahmoud
    • The Journal of Asian Finance, Economics and Business
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    • 제9권5호
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    • pp.421-429
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    • 2022
  • Entrepreneurship research has focused on several factors that might affect the intention of an individual to start an enterprise. Using principles from social network theory and the entrepreneurial intention model (EI), the current research intends to investigate how social capital is formed on Social Networking Sites (SNS) and how the resulting social capital influences entrepreneurial intention. Using an online survey, 151 valid responses were received from university students. Applying partial least square structural equation modeling, positive and significant relationship was found between the SNS usage and bonding and bridging social capital. Further, it was also found that online-bonding social capital does not impact any of the three antecedents of entrepreneurial intention. On the other hand, online-bridging social capital significantly influences personal attitudes and subjective norms. It was also found that both personal attitude and perceived behavioral control significantly relate to EI, while the subjective norms do not relate significantly to EI. The paper contributes to the literature on technology-based human behavior and entrepreneurship in emerging countries, opening some areas for future research, while also providing some managerial insights. It also should be beneficial to educational institutions in understanding how the use of SNS use by students may be optimized.

Facebook Me Right: Needs-Based Segmentation of Facebook Brand Page Users

  • Lee, Kiwon;Lim, Heejin
    • Fashion, Industry and Education
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    • 제15권1호
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    • pp.12-28
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    • 2017
  • In the era of social media, marketers have struggled to understand and serve participants' diverse and multifaceted needs in a novel form of online brand community in the social-networking sites such as Facebook. Thus, this study identifies different groups of participants affiliated with Facebook brand pages based on their needs for brand connection. The need-based segments are validated by comparing results across foodservice and consumer goods. Results of cluster analysis reveal three distinct segments (i.e., residents, lurkers, and peepers) based on participants' functional, experiential, and incentive needs. Results of multivariate analysis of variance illustrate significant differences in relational tendencies for a brand of interest among these three groups. The three groups are profiled based on participants' engagement level. Findings of this study are expected to help marketers better understand the needs of diverse participants in their SNS-embedded brand community so they can develop tailored communication strategies for targeted groups.

중고령자의 디지털 이용태도가 생활 만족도에 미치는 영향: 온라인 네트워크 활동과 디지털 정보생산·공유활동의 직렬다중매개효과 분석 (Impact of attitude towards digital usage on life satisfaction of middle age and older adults: Sequential Mediation analysis in online networking activity and digital information production·sharing activities)

  • 김수경;윤희정;이대겸;신혜리;김영선
    • 한국노년학
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    • 제40권1호
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    • pp.131-146
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    • 2020
  • 본 연구의 목적은 중고령자의 디지털 이용태도와 생활 만족도 간의 관계를 살펴보고, 온라인 네트워크 활동과 디지털 정보생산·공유활동의 직렬다중매개효과를 분석하고자 하였다. 연구의 주 목적을 달성하기 위해 Hayes(2013)의 PROCESS for SPSS Macro을 실시하였다. 연구결과는 다음과 같다. 첫째, 디지털이용태도와 생활 만족도는 통계적으로 유의한 관계가 있음을 확인하였다. 둘째, 중고령자의 디지털 이용태도가 온라인 네트워크 활동을 경유해 생활 만족도에 미치는 영향보다 디지털 이용태도가 온라인 네트워크 활동을 거쳐 디지털 정보생산·공유활동을 경유한 후 생활 만족도에 미치는 영향이 .0291단위만큼 유의하게 더 크다는 것을 알 수 있었다. 본 연구결과는 중고령자의 디지털 이용태도와 생활 만족도, 온라인 네트워크 활동, 디지털 정보생산·공유활동 간의 관계를 통합적으로 살펴봄으로써 중고령자의 디지털 이용 및 생활 만족도 제고를 위한 기초자료로 활용할 수 있다는 점에 의의를 가진다.

R&D 협업 촉진을 위한 통합협업 인프라의 개발 (Development of Collaboration Infrastructure to Promote R&D Collaboration)

  • 장희진;이경민;공정욱;조진용
    • 한국정보통신학회논문지
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    • 제19권10호
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    • pp.2429-2440
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    • 2015
  • 본 논문에서는 국내 연구ㆍ교육기관들의 협업 생태계 구축 및 협업 활성화를 위한 통합협업 인프라를 소개한다. 통합협업 인프라는 국내 연구ㆍ교육기관, 관련 상용 서비스 업체들이 참여하고 이들의 협력 증진을 위한 다양한 협업 지원 시스템과 서비스를 포함한다. 특히 제안한 통합협업 인프라는 ID 페더레이션 기술을 기반으로, 협업 참여 기관들의 연구자원 공유를 위한 사용자 인증 프레임워크를 제시함으로써 협업의 효율성을 제고한다. 본 논문은 국가과학기술연구망에 구축한 통합협업 인프라에 대해 기술하고 제안된 프레임워크의 동작 방식을 검증한다.

DDoS 공격 완화를 위한 새로운 분산 SDN 프레임워크 (New Distributed SDN Framework for Mitigating DDoS Attacks)

  • Alshehhi, Ahmed;Yeun, Chan Yeob;Damiani, Ernesto
    • 전기학회논문지
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    • 제66권12호
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    • pp.1913-1920
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    • 2017
  • Software Defined Networking creates totally new concept of networking and its applications which is based on separating the application and control layer from the networking infrastructure as a result it yields new opportunities in improving the network security and making it more automated in robust way, one of these applications is Denial of Service attack mitigation but due to the dynamic nature of Denial of Service attack it would require dynamic response which can mitigate the attack with the minimum false positive. In this paper we will propose a new mitigation Framework for DDoS attacks using Software Defined Networking technology to protect online services e.g. websites, DNS and email services against DoS and DDoS attacks.