Retracted: Human factors of knowledge-sharing intention among taiwanese enterprises: A model of hypotheses

2012 ◽  
Vol 22 (4) ◽  
pp. 362-371 ◽  
Author(s):  
Cheng-Wu Chen ◽  
Min-Li Chang ◽  
Chun-Pin Tseng
Keyword(s):  
Human Factors ◽  
Knowledge Sharing

scholarly journals Identified Human Factors in Knowledge Management in the Context of Knowledge Sharing

2021 ◽  
Vol 12 (3) ◽  
pp. 1963-1968
Author(s):  
Oyelami Julius Olusegun Et.al
Keyword(s):  
Knowledge Management ◽  
Standard Deviation ◽  
Human Factors ◽  
Knowledge Sharing ◽  
Management Practices ◽  
Statistical Data Analysis ◽  
Information And Communication ◽  
Strategic Implementation ◽  
Paper Review ◽  
Knowledge Management Practices

With the present and advances in information and communication technology (ICT), sharing knowledge across organisations has become easier and feasible. However, knowledge sharing has been a complex phenomenon over the years and identifying factors that influence knowledge sharing (KS) across organisation has becomes crucial and critical in the recent days. This paper review the effect of culture and behavioural differences as a human factors and the knowledge management practices needed to improve KS in organisations. Data were collected from 7 experts and 50 personnel by questionnaire. The result from the statistical data analysis revealed 15.67 and 3.96 as variance and standard deviation on culture respectively. The variance on behaviour is 8 and its standard deviation is 2.83, this indicate weakness in KS therefore, there is a presence of non- sharing culture and behaviour that discourage knowledge sharing. The findings from this pilot study suggest that, a centralised knowledge management structure without effective human practice towards its policies of sharing, coordination and distribution of knowledge in the context of knowledge management towards knowledge sharingmight fail. For organisation to avoid knowledge holding (KH) and knowledge risk (KR), a mechanism like knowledge sharing strategic implementation plan (KSSIP) can be used as a solution.  

Nursing governance and clinical error control

2015 ◽  
Vol 9 (2) ◽  
pp. 136-157 ◽  
Author(s):  
Luu Trong Tuan
Keyword(s):  
Human Factors ◽  
Knowledge Sharing ◽  
Psychological Contract ◽  
Health Care Quality ◽  
Error Control ◽  
Care Quality ◽  
Equation Modeling ◽  
Content Type ◽  
Clinical Error

Purpose – This study aims to fathom the role of nursing governance as a mechanism to activate the chain effect from corporate social responsibility (CSR) through psychological contract to knowledge sharing, which in turn reduces clinical errors in hospitals in the Vietnam context. Clinical errors not merely result from human factors but also from mechanisms which influence human factors. Design/methodology/approach – The clues for the research model were established through structural equation modeling-based analysis of cross-sectional data from 233 nurses of Vietnam-based hospitals. Findings – Research findings unveiled the positive correlation between nursing governance and ethical CSR as well as the negative correlations between nursing governance and legal CSR or economic CSR. Ethical CSR was found to have positive effect on psychological contract, whereas legal or economic CSR was found to have negative effect on psychological contract. The chain effects from psychological contract through knowledge sharing to clinical error control were also attested in this inquiry. Originality/value – Research results have contributed to literature in some ways, for example, expanding health-care quality and patient safety literature through the chain of antecedents (nursing governance, CSR, psychological contract and knowledge sharing) to clinical error control, underscoring the role of psychological contract in cultivating knowledge sharing and adding organizational outcomes such as knowledge sharing and clinical error control to the nursing governance literature.

scholarly journals Knowledge sharing in organizations: Roles of beliefs, training, and perceived organizational support

2018 ◽  
pp. 148-162
Keyword(s):  
Human Factors ◽  
Knowledge Sharing ◽  
Organizational Support ◽  
Perceived Organizational Support ◽  
Knowledge Workers ◽  
Knowledge Sharing Behavior ◽  
Collective Beliefs ◽  
And Behavior ◽  
Sharing Behavior ◽  
And Training

The main objective of this study was to test the effects of two types of beliefs about knowledge sharing, i.e., individual and collective, on the intention and behavior of knowledge sharing. In addition, this study considered the moderating roles of organizational support and training among variables. Data were obtained from 1056 participants (55.7% women and 44.3% men), all of whom were knowledge workers. A model was constructed for the relationships between the variables. The results showed that collective beliefs about knowledge sharing were good predictors of knowledge sharing intention and behavior. By contrast, individual beliefs about knowledge sharing were not good predictors of knowledge sharing intention and behavior. The results also indicated moderating roles for training and organizational support. Finally, the knowledge sharing intention predicted knowledge sharing behavior. The results of this study improve our understanding of the human factors involved with knowledge sharing.

Knowledge Sharing: Wissen für den Pflegealltag

PADUA ◽  
2016 ◽  
Vol 11 (4) ◽  
pp. 265-267
Author(s):  
Sabine Bohnet-Joschko
Keyword(s):  
Knowledge Sharing

Zusammenfassung. Gesundheits- und Pflegeberufe gehören zu den wissensintensiven Dienstleistungsberufen, in denen einmal Erlerntes schnell an Aktualität verliert. So können klassische Fort- und Weiterbildungskonzepte die Dynamik der Wissensentwicklung in der Pflege kaum noch abbilden. Insbesondere für Führungskräfte gilt es, trotz zunehmender Arbeitsverdichtung eine Kultur des lebenslangen Lernens für Pflegende zu fördern. Das in den USA durchaus verbreitete, im deutschsprachigen Raum dagegen nahezu unbekannte Konzept «Lunch and Learn» soll hier vorgestellt werden.

An Application of the HFACS Method to Aviation Accidents in Africa

2016 ◽  
Vol 6 (1) ◽  
pp. 33-38 ◽  
Author(s):  
Isaac Munene
Keyword(s):  
Human Factors ◽  
Physical Environment ◽  
Human Factor ◽  
Flight Training ◽  
African Countries ◽  
Causal Factors ◽  
Aviation Accidents ◽  
Factors Analysis ◽  
Adverse Weather ◽  
Decision Errors

Abstract. The Human Factors Analysis and Classification System (HFACS) methodology was applied to accident reports from three African countries: Kenya, Nigeria, and South Africa. In all, 55 of 72 finalized reports for accidents occurring between 2000 and 2014 were analyzed. In most of the accidents, one or more human factors contributed to the accident. Skill-based errors (56.4%), the physical environment (36.4%), and violations (20%) were the most common causal factors in the accidents. Decision errors comprised 18.2%, while perceptual errors and crew resource management accounted for 10.9%. The results were consistent with previous industry observations: Over 70% of aviation accidents have human factor causes. Adverse weather was seen to be a common secondary casual factor. Changes in flight training and risk management methods may alleviate the high number of accidents in Africa.

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