1,720,969 research outputs found
Relationship between Knowledge Sharing Security and Organizational Context in the Public and Private Organizations
Full text linkOne of the most significant current discussions in Knowledge Sharing (KS) is security. Security is an important component in KS, and plays a key role in reducing the risks in KS. However, relatively little study has been performed on KS security in the public and private sectors, and even less in the developing countries. This research intends to find the relationship between organizational context and KS security which have not previously been dealt by other studies, to propose a research model. The potential constructs for the model are identified through literature review. Hence, the research model is divided in to three main parts: organizational context, organizational type and KS security. Organizational context includes factors in three dimensions, namely, organizational structure, organizational culture, and information technology. In this study organizational type is identified as a moderating construct. Therefore, this study illustrates the influence of organizational context and type in KS security
Evaluating Knowledge Sharing Risk Governance Model : A Case Study of the Ministry of Agriculture in Iran
No full textEnsuring security in knowledge sharing (KS) is of utmost importance. However, most research studies have focused on safeguarding information systems assets such as networks and databases, but little attention has been given to integrating security measures into KS practices, especially in developing countries. This study proposes a model incorporating security into KS behavior through Knowledge Risk Governance (KRG) that moderates the process. The potential components of the Knowledge Sharing Risk Governance (KSRG) model were identified through a comprehensive literature review. Social Exchange Theory (SET) was chosen as the theoretical framework to elucidate KS behavior and outline the formative elements of KRG. The Ministry of Agriculture was selected as a representative public organization, and a case study approach was used to collect data through questionnaires. The results showed that (1) SET factors have a positive correlation with KS behavior, (2) KRG moderates the relationship between these SET factors and KS behavior, and (3) KS, facilitated by KRG as a moderating factor, effectively mitigates KS-related risks. In summary, this study highlights the significant role of KSRG in ensuring KS security and reducing associated risks. The findings underscore the importance of integrating security measures into KS practices. They offer valuable insights for senior managers to evaluate and improve their organization's current KS strategies and security requirements. © 2023 European Union IEEE.</p
Integrating the methods of project-based learning and role-playing to promote deep approach of learning : Programming languages
Full text linkIn recent years, there has been an increasing amount of literature on critical thinking and deep learning. Conversely, the traditional pedagogical methods of teaching lack the potentiality to make deep learning especially for the practice-oriented courses such as programming languages. Thus, this study is designed based on the Project-Based Learning (PBL) and Role-Playing (RP) which are integrated to enhance deep learning for the programming languages course. PBL gives the students control of their work in both a literal and figurative sense. On the other hand, RP plays a complementary part to assist teaching and assess the learners’ motivation, satisfaction, and learning achievement. Therefore, the curriculum content is mapped into the designed project and roles to provide a scenario learning environment. Hence, this research for learners will be beneficial to teach and reinforce skills that prepare learners for their future careers, such as collaboration, problem-solving, creativity, and communication
Dynamic risk management approach using immune system
Full text linkRisks include the factors that might adversely affect on project outcomes. Risk analysis includes the processes concerned with identifying, analyzing and developing security strategy and plans for the factors. Although currently there are methodologies known such as (CCTA Risk Analysis and Management Method (CRAMM) or Consultative, Objective and Bi-functional Risk Analysis (COBRA) etc. for Risk Management, they have common failure for instance no specific function which recover/avoid risks/attacks toward IS/IT component and poor executive support, high cost of implementation, untimely response, insufficient accountability, inability to qualitatively measure control environment, infrequent in assessment, inaccurate data. Hence, these problems and the importance of IS/IT Risk Management cause the research to organize a dynamic risk management approach by making them intelligent as like as the immune system which is a complete system and could be the best model for simulating Risk Management in the organizations. However, the results of this study could help organizations toward improving IS/IT Risk Analysis process which are designed and proposed by investigation about their current procedure and problems of Risk Management
Exploring the Potential of Artificial Intelligence in Addressing Pedagogical Challenges and Improving Group Work Quality in Higher Education
No full textThis paper aims to demonstrate the immense potential of Artificial Intelligence (AI) in improving the quality of group work in higher education institutions. While group work has been a widely accepted approach to promoting students' learning and collaboration skills, it poses several challenges, such as ineffective communication, unequal contributions, and difficulties monitoring progress. These challenges can be addressed by integrating AI tools that provide tailor-made feedback and facilitate communication and collaboration among group members by analyzing students' behavior and performance data. The Theory of Planned Behavior (TPB) has been utilized as one of the information system theories to influence and understand students' intentions and behaviors towards using AI tools. This paper reviews existing literature case studies and proposes a research model based on TPB and AI to provide a theoretical background on students' group work, challenges, and the impact of AI on teamwork. In conclusion, AI can potentially revolutionize several sectors of society, including education. Hence, it is strongly recommended that its use in group work within higher education institutions be explored further. © 2023 European Union IEEE.</p
CONCEPTUALIZING KNOWLEDGE RISK GOVERNANCE AS A MODERATOR TO POTENTIALLY REDUCE THE RISKS IN KNOWLEDGE SHARING
No full textRecent developments in Knowledge Sharing (KS) have heightened the need for security. However, there has been little discussion about ‘how to’ integrate security into KS models effectively. This research addresses this gap by proposing a KS Risk Governance (KSRG) framework and research model based on the framework to integrate security into KS through Knowledge Risk Governance (KRG). The role of KRG in the model is identified as a moderator which would influence on the risks of KS. The potential constructs for the model are identified through literature review. Social Exchange Theory (SET) is selected as theoretical framework to describe the KS behaviour and identify the formative constructs of KRG. The results of this study indicate that (1) SET factors are positively associated with KS behaviour, (2) KRG moderated the relationship between the SET factors and KS behaviour and (3) KS via KRG as a moderating construct will reduce the risks of KS. Therefore, KSRG framework provides a helpful guideline for senior managers auditing their organization's current KS strategy and requirements for reduction of KS risks
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Sentiment Analysis of Social Media Use in Public Transportation in Sweden
No full textThe increasing impact of social media on public transportation is transforming communication strategies and user engagement. These platforms offer real-time service updates while allowing users to voice their concerns and suggestions, fostering trust and enhancing customer satisfaction. This research investigates public perceptions of the communication methods used by public transportation services in Sweden, highlighting user preferences for different social media platforms and content types. The study employs a four-step methodology. First, a literature review examines the advantages and challenges of integrating social media into public transportation systems. Next, a survey assesses Swedish users' interactions with social media in this context. The third phase involves sentiment analysis and text mining of the survey responses to evaluate public opinion. Finally, the research proposes potential steps for collecting and analyzing social media data. The findings contribute to a better understanding of effective communication strategies, ultimately improving the responsiveness of public transportation systems
Social Media Integration in Public Transportation : A Case Study of Sweden
No full textIn the past twenty years, social media has completely transformed the way businesses interact with their customers. Social media's massive reach and resources have opened new and exciting possibilities for companies to connect with their audience and build strong relationships. This research paper explains how social media is used for public transportation in Sweden. As digital platforms become increasingly important in modern society, transportation systems have sought new ways to engage with passengers and improve their services. Drawing on communication studies and transportation management theories, this study examines how Facebook can be used as a communication channel for public transportation in Sweden. The paper evaluates the strategies employed by the Swedish transportation authority to leverage Facebook to disseminate real-time information, foster community engagement, and address passenger concerns. It reviews existing literature, surveys 106 people in Sweden, and analyzes the most commonly used social media pages. The findings of this study offer insights and highlight opportunities and challenges associated with using social media platforms within public transportation. This research paper provides valuable information for transportation policymakers, practitioners, and researchers who want to improve the efficiency and accessibility of urban mobility systems.</p
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