scholarly journals Determinants of Knowledge Transfer in Egocentric Networks. Comparative Analysis of Professions

2022 ◽  
Vol 19 ◽  
pp. 40-53
Author(s):  
Marzena Fryczyńska
Keyword(s):  
Information Technology ◽  
Knowledge Management ◽  
Comparative Analysis ◽  
Knowledge Transfer ◽  
Regression Models ◽  
Knowledge Work ◽  
Knowledge Networks ◽  
It Professionals ◽  
Egocentric Networks ◽  
Egocentric Network

This paper investigates determinants of knowledge transfer in egocentric networks of knowledge recipient and knowledge provider, what is crucial to knowledge management in organisations. Knowledge transfer is assumed to depend on knowledge work, networking competence, and the subject’s profession: teacher, Information Technology (IT) professional, or physician. The paper reports result of a quantitative study among samples of mentioned professionalists. Regression models testing, including mediation and moderation, were performed. The findings indicate that knowledge transfer in the egocentric network of the knowledge recipient increases along with knowledge work, but only when it is mediated by networking competence. Analyses in each profession support a partial mediation in the case of IT professionals and teachers. Knowledge transfer in egocentric network of the knowledge provider increases along with knowledge work of the provider. In the case of physicians, knowledge transfer in the providers’ and recipients’ knowledge networks is affected neither by knowledge work nor by networking competence.

Factors Influencing Effective Knowledge Transfer in Organizations

2018 ◽  
pp. 271-292
Author(s):  
Ömer Faruk Gürcan ◽  
Çiğdem Altın Gümüşsoy
Keyword(s):  
Information Technology ◽  
Knowledge Management ◽  
Knowledge Transfer ◽  
Literature Review ◽  
Competitive Advantage ◽  
Individual Group ◽  
Factors Influencing ◽  
Or Organization ◽  
Use Of Knowledge ◽  
Day By Day

Today, advances in information technology have increased the importance of knowledge day by day. Possessing knowledge and managing knowledge effectively are very important for firms to gain competitive advantage in rapidly changing environment conditions. Knowledge management helps to a firm to achieve its organizational objectives by making the best use of knowledge. It includes many processes. Knowledge transfer as one of the important processes in knowledge management, is defined as the transfer or dissemination of knowledge from one individual, group or organization to another. Effective knowledge transfer has many benefits to the firms. It increases the benefits that firms gain from knowledge. This study examines 11 factors based on literature review. Determining the factors influencing knowledge transfer will lead to a better understanding of the process and these factors can be used in other researches.

When I Seem More Important than T in IT

2010 ◽  
Vol 1 (1) ◽  
pp. 8-22
Author(s):  
Petter Gottschalk
Keyword(s):  
Information Technology ◽  
Knowledge Management ◽  
Growth Model ◽  
Knowledge Work ◽  
Stages Of Growth ◽  
Management Technology

It has long been argued that information (I) is more important than technology (T) in information technology (IT). Thus in this case study, we will focus on information. The case is concerned with intelligence, which is the kind of information needed to prevent crime. This article starts by describing police intelligence, the case of U.S. intelligence strategy, and intelligence sources. Intelligence supports knowledge work as classified in the knowledge matrix. Next, technology is introduced in terms of the stages of growth model for knowledge management technology, since police intelligence work is conceptualized as knowledge work in this article.

Model Knowledge Management System Konseling Mahasiswa Berbasis Cloud Computing

CCIT Journal ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 138-148
Author(s):  
H. Abdul Hamid Arribathi ◽  
Dedeh Supriyanti ◽  
Lusyani Sunarya
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Knowledge Management ◽  
Management System ◽  
Positive Impact ◽  
Professional Staff ◽  
Knowledge Management System ◽  
Literature Study ◽  
Student Counseling ◽  
The World

Information technology is increasingly developing and has a positive impact on the world of education. The implementation of student counseling with a Knowledge Management System is one of the contributions of information technology in the world of education. Many benefits provided by the Student Counseling Knowledge Management System, in managing the knowledge needed by the counselor section to document student consultations. The development and implementation of a KMS counseling system costs more to employ professional staff to maintain and improve; KMS student counseling application; For this reason, it is necessary to design a Cloud Computing-based Student Counseling Knowledge Management System. The research method carried out in the first stage is to collect data and information about Knowledge Management and Student Counseling, and how to use it to create a Knowledge Management System Application, Student Counseling Based on cloud computing. Furthermore, conducting a literature study and literature review, system design is in the form of data architecture compounding, process design, network design, and user interface design. The design results of this system can facilitate educational institutions in conducting online cloud computing-based student counseling

Analisis Pembangunan Sistem Informasi Pengelolaan Lingkungan Bebas Sampah Terintegrasi di Wilayah Pariwisata Indonesia

2018 ◽  
Vol 8 (2) ◽  
pp. 54-61
Author(s):  
Leonardi Paris Hasugian ◽  
Sintya Sukarta ◽  
Raden Fenny Syafariani
Keyword(s):  
Information Technology ◽  
Knowledge Management ◽  
Management System ◽  
Visual Communication ◽  
Knowledge Management System ◽  
Communication Media ◽  
Tourism Destination ◽  
Technology Knowledge ◽  
Index Terms

Cleanliness is one of many other indicator that have to be held by a tourism destination. It mean that the tourism destination should be clean from garbage or any other dirty things. Indonesia is a tourism destination that have been known as a beautiful and humble country to be visited. As a tourism country, Indonesia should also give a big concern to the cleanliness issue. Various criticisms and suggestions always delivered to the manager or government of the tourist sites, but the response from them was null. There have to be a research to find out what is the root of the environment cleanliness problem and which part of the improvement that was missed. This study covers how to integrate all the stakeholder by using Information Technology in order to address the environment cleanliness issue. Existing policy established will be the basis for analyzing, designing, implementing, and evaluating a product in addressing the issues of garbage. The research is developed under the PEST and SWOT method, and using the Knowledge Management System. Visual Communication Media is a product that was built to help people in controlling the outstanding garbage. Information technology is built to become a medium in managing information related to garbage problems. Meanwhile, Counseling and Socializing is held to provide learning of the importance in maintaining hygiene. The integration of these things is monitored and evaluated to obtain a comprehensive improvement. Index Terms—Cleanliness, Information Technology, Knowledge Management System.

Prospects & Challenges of Implementing Knowledge Management System in IT Industry

2018 ◽  
Vol 7 (1) ◽  
Author(s):  
Syed Mubashir Ali ◽  
Asim Iftikhar
Keyword(s):  
Information Technology ◽  
Knowledge Management ◽  
Information Sources ◽  
Knowledge Management System ◽  
Management Systems ◽  
Future Research ◽  
Recent Past ◽  
It Industry ◽  
Strategic Information ◽  
Strategic Information Systems

Recent past has seen an epidemic growth in the adoption of strategic information systems. In order to be successful, enterprises are putting in huge investments into implementation of information technology (IT) and knowledge management systems (KMS). KMS implementation in an IT industry has been discussed in this paper. Several challenges including multiple information sources, access control, and employee’s mistrust among others are being identified along with their possible solutions. Later foreseen benefits of KMS implementation including quicker problem identification, faster response time, and cost saving among others are being highlighted. The paper concludes with revealing future research possibilities.

Best Practices for Modeling Egocentric Social Network Data and Health Outcomes

2021 ◽  
pp. 193758672110137
Author(s):  
Jacqueline M. Burgette ◽  
Jacquelin Rankine ◽  
Alison J. Culyba ◽  
Kar-Hai Chu ◽  
Kathleen M. Carley
Keyword(s):  
Social Network ◽  
Best Practices ◽  
Health Outcomes ◽  
Organizational Behavior ◽  
Network Data ◽  
Egocentric Networks ◽  
Covariate Selection ◽  
Social Network Modeling ◽  
Egocentric Network ◽  
The Impact

Objective/Aim: We describe best practices for modeling egocentric networks and health outcomes using a five-step guide. Background: Social network analysis (SNA) is common in social science fields and has more recently been used to study health-related topics including obesity, violence, substance use, health organizational behavior, and healthcare utilization. SNA, alone or in conjunction with spatial analysis, can be used to uniquely evaluate the impact of the physical or built environment on health. The environment can shape the presence, quality, and function of social relationships with spatial and network processes interacting to affect health outcomes. While there are some common measures frequently used in modeling the impact of social networks on health outcomes, there is no standard approach to social network modeling in health research, which impacts rigor and reproducibility. Methods: We provide an overview of social network concepts and terminology focused on egocentric network data. Egocentric, or personal networks, take the perspective of an individual who identifies their own connections (alters) and also the relationships between alters. Results: We describe best practices for modeling egocentric networks and health outcomes according to the following five-step guide: (1) model selection, (2) social network exposure variable and selection considerations, (3) covariate selection related to sociodemographic and health characteristics, (4) covariate selection related to social network characteristics, and (5) analytic considerations. We also present an example of SNA. Conclusions: SNA provides a powerful repertoire of techniques to examine how relationships impact attitudes, experiences, and behaviors—and subsequently health.

Sign in / Sign up

Export Citation Format

Share Document