356,855 research outputs found

    Applications of social networking technology in IT-based knowledge management systems

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    This research enquires into how social networking technologies can help knowledge creation and sharing in IT-based knowledge management systems. Social networking technologies have changed the way people connect and collaborate allowing users to seek and find knowledge and expertise from both friends and strangers alike. Despite technology having been used in a variety of ways to support knowledge management systems, the use of social networking technology has been little explored. The famous SECI model highlights socialisation as an important aspect in transferring knowledge, yet IT-based knowledge management systems seem to miss out on this element. This research argues that combining knowledge management systems with social networking technology bridges this gap. Social software is becoming part of a commonplace set of tools available for organisations that may help IT-based knowledge management systems. Evidence is presented from a case study conducted in practice at an organisation. A mixture of qualitative and quantitative methods were used to collect the data and evaluate the effects of social networking technology within IT-based knowledge management systems. The research contributes towards the fields of knowledge management and knowledge management systems. The research inquiry found that the inclusion of social networking technology had positive effects on the IT-based knowledge management system and in turn the knowledge management initiative. The introduction of the IT-based knowledge management system, supported by social networking technology, resulted in a drastic improvement of 40.8% in the ease of finding knowledge and information, an increase by 30.4% in ease of sharing with other teams, and an improvement of 39.3% was also reported by employees feeling that the company tools support organisational growth. Data indicates an increase in other measurements of knowledge sharing and system metrics also show an increase in the usage, participation and contributions made in the IT-based knowledge management system supported by social networking technology. Building on the SECI model knowledge management theory is extended through the proposal of the social networking for knowledge management model (SN4KM) to support knowledge management systems designers

    The relationship between social networking websites usage and student’s academic performance / Farah Nadhirah Zainal, Nor Hamizah Che Wail, Siti Hapsah Ahmad and Sur Ain Naquiah Nik

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    Social networking website is one of the social media Internet-based services includes Facebook, MySpace, Orkut, Cyworld, Bebo and other social networking sites that allow individuals to present themselves to other users using a variety of formats, including text and video. All of these sites allow the users to exchange news and discuss issues, chatting, update status, discussing, find friends as well as share the information with each other. In Malaysia, social networking becomes a phenomenon among the citizens regardless of their age, race, occupation and living area and students are the most users of social networking sites. This research is focus on the relationship between the social networking websites and students academic performance. This study was conducted in order to identify either there is a relationship or not between these two variables. The ob jective of this study is to investigate the usage of social networking among UiTMT university students A set of questionnaires have been distributed in a ways to find the result and from the data collected, we know the actual usage of social networking website among the UiTMT students. Respondents for this research are students from part six in four faculties which are Electrical Engineering, Office Management, Hotel Management and Business Management of the UiTM Terengganu. The data received has been analyzed by using the mean, standard deviation, percentage, frequency and Pearson’s correlation. From this analyzing technique, actual results have been received and based on the Pearson correlation analysis, we can conclude that there is a relationship between social networking website and students academic performance Overall, the findings of the research help the student to beware about the usage of the social networking website as well as know there is a relationship exists between the usage of social networking website and students academic performance

    Building Social Justice among Academic Staffs of Tertiary Institutions, the Influence of Acculturation, Networking and School Management Support

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    The study investigated the influence of acculturation, networking and school management support on social justice building among university academic staffs of tertiary institutions. A descriptive survey research design was adopted for the study. The sample for the study was three hundred (300) randomly selected academic staffs of tertiary institutions in Oyo state. Four standardized instruments were used to collect data from the participants. Three research questions were raised and answered. Data collected were analyzed using multiple regression and Pearson Product Moment Correlation. The result indicated that acculturation, networking and school management support, all had significant relationships with social justice building of university academic staffs. The combined effect of the three variables was significant and produced an F- ratio value significant at 0.05 level (F = 10.8241; < .05). The three variables accounted for 30.9% of the total variance on social justice building of the participants with acculturation being the most potent predictor in the investigation. Based on the findings recommendations were made for all significant stakeholders.Key words: Acculturation, Networking, School management support, Social justic

    ANALYSIS OF A SCHOLARLY SOCIAL NETWORKING SITE: THE CASE OF THE DORMANT USER

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    Many scholarly social networking sites targeting an audience of academicians and researchers have appeared on the Internet in recent years. Their vision is to change the way researchers connect, share and collaborate to solve real world problems. Despite the hype, however, their impact on higher education is unclear. Studies exist that address the benefits of these sites, but studies that investigate the implications of how scholarly social networking systems vet information, including data related to user profiles and uploaded content, is nonexistent. This paper chronicles the system management of user information for an inactive user of a scholarly social networking site. The paper shows what can happen to user profile data when a user remains dormant and data correction is reliant upon system users. The quality and accuracy of information provided on a scholarly social networking site are paramount to its success and effectiveness

    Leveraging social networking for talent management:an exploratory study of Indian firms

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    Utilizing the social capital and social network theories, this research explores and highlights how social networking has been strategically utilized as an effective tool by organizations for employer branding and innovative talent acquisition strategies in India. Qualitative data from 78 semistructured interviews with human resources (HR) professionals of information technology (IT), information technology-enabled services (ITeS), and talent acquisition organizations confirm the growing utilization of social networking sites (SNSs) as part of the organizational HR strategy for employer branding and talent sourcing, acquisition and retention, and reinforcing stronger relationship with their employees. The study contributes to the fields of talent management and social networks and has several key implications for practitioners regarding the usefulness of SNSs to organizational branding, talent management, and retention

    Understanding Member Use of Social Networking Sites: A Value Analysis

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    In this research, the authors examine members’ decisions to continue using social networking sites. Site use leads to the growth of social relationships, increased volume of site traffic, and an accumulation of user-generated contents; hence, it is imperative to the long-term success of social networking sites. Drawing on the Theory of Consumption Value, we develop a research model to examine the key values that members derive from networking sites. This model systematically identifies functional, social, epistemic, emotional, and conditional values and contends that these values influence members’ continued site-use decisions. In addition, the research model captures the major determinants of the five value constructs as stemming from networking service attributes, member personalities, website designs, and computing environment. The research model was empirically validated through survey data collected from social networking site users, and the analysis results provided strong support to the hypothesized relationships. The current study generates new knowledge on the literature of social networking sites; it also sheds light on site management for networking service providers

    Appropriation of privacy management within social networking sites

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    Social networking sites have emerged as one of the most widely used types of interactive systems, with memberships numbering in the hundreds of millions around the globe. By providing tools for their members to manage an ever-changing set of relationships, social networking sites push a constant expansion of social boundaries. These sites place less emphasis on tools that limit social boundaries to enable privacy. The rapid expansion of online social boundaries has caused privacy shockwaves. Privacy offline is enabled by constraints of time and space. Online, powerful search engines and long term digital storage means private data have no expiration date. Within an online culture of anonymity and fluid self-presentation of identity, social networking sites can be turned into places of perceived safety but with privacy risks that actually extend indefinitely. While these sites do deploy privacy management features, it is not understood how people use social networking sites, how they use privacy management features, and how these two are related. In order to create better privacy mechanisms for social software, designers must first understand how members manage their privacy in the current environment. This dissertation introduces The Social Software Performance Model, which describes relevant factors and their interaction in order to explain patterns of privacy management. The Model is a synthesis of Adaptive Structuration Theory, the Fit Appropriation Model and socio-technical systems theory. Adaptive Structuration Theory attempts to explain appropriation, defined as the process by which people integrate technology into their daily tasks and activities. A central premise of this research is that the appropriation perspective is a valuable lens for teasing apart how members of these sites adopt and adapt privacy management features. Using Adaptive Structuration Theory, this dissertation developed and validated new measures that capture appropriation patterns related to privacy management within social networking sites. The research introduces three independent constructs that measure privacy management appropriation. They are the Use appropriation move, which measures actual use of privacy management features; the Familiarity appropriation move, which measure knowledge of privacy management features; and the Restricted Scope appropriation move, which measures the extent to which members independently limit the scope of their online social network to protect their privacy. Survey data was collected from subjects in two different social networking sites, Facebook and MySpace, and used to evaluate hypotheses developed from The Social Software Performance Model. Using a partial least squares analysis, the research model explained 28.5% of the variance with respect to appropriation of privacy management features. This is a strong result for exploratory research. This research makes a contribution by extending theories to a new context, by applying both the Adaptive Structuration Theory and the Fit Appropriation Model to the use of privacy management in social networking sites. Using types and sub-types of appropriation moves from Adaptive Structuration Theory, new measures were developed and validated. These new measures, with further efforts to establish validity and reliability, can be adapted to understand appropriations for other forms of social software. The main finding of the research is a method to evaluate the effectiveness of different implementations of privacy management within social networking sites. While information system theory has been primarily concerned with systems used in an organizational context, the results of this research shows these theories are relevant to new systems based on social interaction. These new types of social software, generically labeled as Web 2.0, are among the most popular on the Internet. Besides Facebook and MySpace, examples of Web 2.0 include the video sharing site YouTube.com, and the photo sharing site Flickr.com. These sites thrive on intensive social interaction, and are growing in scope and importance. There has been little consensus among researchers as to how to measure the effectiveness of Web 2.0 systems. This lack of consensus presents a strategic opportunity for information systems theory, which has made determinations of effectiveness an important focus. This research has adapted information systems theory to study the effectiveness of privacy management. The development of privacy management has proven to be a difficult problem, and a deeper understanding of its effectiveness is expected to improve the overall design of these systems. By adapting information systems theory to the use of privacy management within social networking sites, this research shows that information systems theory can also be used applied to Web 2.0 applications. This provides a foundation for the further development of methods to measure the effectiveness of additional components within social software

    Addressing the Challenges in Federating Edge Resources

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    This book chapter considers how Edge deployments can be brought to bear in a global context by federating them across multiple geographic regions to create a global Edge-based fabric that decentralizes data center computation. This is currently impractical, not only because of technical challenges, but is also shrouded by social, legal and geopolitical issues. In this chapter, we discuss two key challenges - networking and management in federating Edge deployments. Additionally, we consider resource and modeling challenges that will need to be addressed for a federated Edge.Comment: Book Chapter accepted to the Fog and Edge Computing: Principles and Paradigms; Editors Buyya, Sriram

    Time Management in Social Networking Sites and Its Role in Preventing the Risk of Addiction to These Sites Among Its Users

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    This study aimed to identify time management in social networking sites and its role in preventing the risk of addiction to these sites among its users. The researcher used  a descriptive survey method based on data and information collection tools (analysis of documents and records) to answer the questions of the study. The study sample  consisted of (412) male and female university students which was chosen based on simple random selection from (Yarmouk University, Jadara University, Irbid National university. For achieving the purposes of the study,  the researcher developed the study tool (questionnaire) which is  consisted of (22) items. After verifying its reliability and  validity the researcher calculated the means, standard deviations, frequency and percentages. The results showed that the role of time management in social networking sites in preventing the risk of addiction to these sites among its users  ranged from (moderate - very high) . The results also showed that there was a statistically significant difference to the estimates of the members of the study sample on time management in social networking sites and its role in  preventing the risk of addiction to these sites among users from the university students as a whole. It is attributed to the gender variable in favor of males and for the school year variable. The results showed that there was no statistically significant difference for the study sample due to the college variable. Keywords: time, time management, social networking sites (SNS), addiction. DOI: 10.7176/JEP/11-8-19 Publication date:March 31st 2020
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