scholarly journals Organizational Factors Affecting Knowledge Sharing Capabilities: A Study with Portuguese Health Professionals

2020 ◽  
Keyword(s):  
Knowledge Sharing ◽  
Health Professionals ◽  
Organizational Factors ◽  
Factors Affecting

Organizational dynamics: exploring the factors affecting knowledge sharing behavior

Kybernetes ◽  
2019 ◽  
Vol 49 (1) ◽  
pp. 165-181 ◽  
Author(s):  
Nóra Obermayer ◽  
Viktoria Erika Toth
Keyword(s):  
Knowledge Sharing ◽  
Organizational Factors ◽  
Organizational Characteristics ◽  
Organizational Dynamics ◽  
Quantitative Methodology ◽  
Data Set ◽  
Content Type ◽  
Factors Affecting ◽  
Effective Manner ◽  
The Individual

Purpose The purpose of this study is to identify the individual and organizational factors that influence knowledge sharing (KS) behavior within Hungarian organizations. Design/methodology/approach The data were obtained from 238 completed questionnaires collected via the LimeSurvey system. The analysis is based on applied quantitative methodology, both descriptive and inferential statistics were used. The research investigated the relationships between individual and organizational characteristics and the KS behavior at individual and global levels. Findings Among individual factors, significant relationships have been identified regarding the generation and position of individuals, and KS behavior, while gender and education do not seem to play a significant role. With respect to organizational factors, the size of the organization and the tenure of individuals are found to be significant. Research limitations/implications The results of the analysis are limited because the data set was not large enough to investigate inter- and intra-industry variability. Practical implications The outcome of this research can support the design of managerial and organizational processes and incentives that will potentially facilitate KS in a more efficient and effective manner. Such improved KS is likely to improve the overall performance of knowledge-intensive organizations. Originality/value The original value of this research is that individual and organizational characteristics have been identified that influence KS behavior. The study focuses on a single country, Hungary, and provides relevant insight into the organizational dynamics of a specific national context.

scholarly journals Factors Affecting Organizational Effectiveness

2020 ◽  
Vol 11 (2) ◽  
pp. 15-27
Author(s):  
M. Zahidul Islam ◽  
Thuraya Farhana Said ◽  
Wardah Azimah Sumardi ◽  
Safayet Rahman
Keyword(s):  
Public Sector ◽  
Organizational Climate ◽  
Knowledge Sharing ◽  
Organizational Effectiveness ◽  
Organizational Factors ◽  
Factors Affecting ◽  
Potential Mediator ◽  
Public Sector Managers ◽  
The Relationship ◽  
Potential Moderator

This study aims to propose a conceptual framework of organizational effectiveness for Brunei's public sector. This study proposed knowledge sharing as a potential mediator for the relationship between organizational factors (organizational climate, structure and leadership) and organizational effectiveness. This study also proposed ICT as a potential moderator for the relationship between organizational factors and knowledge sharing. This study will help public sector managers to understand organizational effectiveness from a different perspective. Propositions of knowledge sharing as a potential mediator and ICT support as a potential moderator will provide public sector managers with guidance to ensure sustainable organizational effectiveness.

Analysis on application level based on ordinal logistic regression and best of advanced manufacturing technologies (AMT) selection based on fuzzy-TOPSIS integration approach

2021 ◽  
pp. 1-11
Author(s):  
Guilian Wang ◽  
Liyan Zhang ◽  
Jing Guo
Keyword(s):  
Logistic Regression ◽  
Organizational Factors ◽  
Fuzzy Topsis ◽  
Ordinal Logistic Regression ◽  
Industrial Robots ◽  
Policy Implications ◽  
Market Pricing ◽  
Factors Affecting ◽  
Pricing Power ◽  
The Core Competence

This paper try to fully reveal the key factors affecting the the level of AMT application in micro- and small enterprises (MSEs) from its organizational factors by ordinal logistic regression. The results show that MSEs have a relatively high level of AMT application as a whole due to the maturity and cost reduction of basic technologies such as artificial intelligence, digital manufacturing and industrial robots. In this paper we propose manufacturing world analysis at Application using Logistic Regression and best AMT selection using Fuzzy-TOPSIS Integration approach.Considering the influence mechanism of each factor, the important factors that affect the application level of AMT are the enterprise’s market pricing power, the main production types, technical, market and management capabilities, organization development incentives and the interaction with external stakeholders. Based on the results above, the following policy implications are proposed: further expanding the customized production in MSEs to gradually improve the market pricing power, expanding the core competence of enterprises, enhancing the employee autonomy, and strengthening the interaction with industry organizations.

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