دانلود رایگان مقاله انگلیسی مدیریت و اشتراک دانش سازمانی: مطالعه در اداره مستقیم فدرال - امرالد 2017

Abstract

Purpose – This paper aims to identify empirically the influence of learning mechanisms provided by organizations on knowledge sharing in the organizational environment. Design/methodology/approach – A quantitative study was developed in which a sample of 268 individuals from civil and military organizations of the Federal Direct Administration was researched. The questionnaire used was composed of the Organizational Learning Mechanism Scale, which was adapted at the time of the present study, in addition to a scale on knowledge sharing, which was developed within the scope of this research. After performing the factorial analysis for both scales, a canonical correlation analysis was performed between the group of variables associated with the learning mechanisms (independent variables) and the group of variables on knowledge sharing (dependent variables). Findings – The results found in the canonical correlation analysis indicate that the learning mechanisms are responsible for explaining 35 per cent of the variance (R2 = 0.352) of the group of variables on knowledge sharing. Practical implications – The findings of this research can help the researched organizations to increase the knowledge management actions, mainly in relation to the actions that favor social interaction among the individuals in the work environment, making possible the exchange of knowledge and experiences in the internal organizational context, and exploring in a positive way actions related to internal acquisition. Social implications – The deeper knowledge about the relationship between organizational actions promoted by top management and knowledge support decision-making in the organizational environment regarding contextual factors that influence social interaction between individuals. In relation to the sharing of knowledge, a high correlation of knowledge absorption and reproduction aspects with the knowledge sharing phenomenon was perceived, so that the possibility of organizations thinking in ways that provide the individual with formal and informal environments can be foreseen. Originality/value – The main contributions of this research are to measure the intensity of the relationship between learning mechanisms and knowledge sharing; and to test the predictive effect of learning mechanisms on knowledge sharing. Regarding the methodological aspects, it was opportune to approach the phenomenon through a little used lens in the context of administration research: the analysis of canonical correlation, which represents another look at the influence of the actions of the top management and the interaction of individuals. The discussions and the data analysis carried out in this research allow us to envisage significant contributions of this work to the analysis and theoretical refinement of the study of the variables treated.

6. Conclusion

From a clearly cognitive perspective, research has acknowledged the premise that individuals interpret and understand organizational reality according to the particularities of their cognitive system (Antonello and Godoy, 2011), and this process can be fostered by the use of learning mechanisms, which are essential knowledge management actions for the individual and organizational performance.

The results achieved in the present research satisfy the established general objective, which is to test the predictive effect of the learning mechanisms on knowledge sharing among individuals in the organizational environment, enhancing the method of analyzing the phenomenon, considering that use of canonical correlation had not been identified in the literature, as presented in this research. Regarding the methodological aspects, it was opportune to approach the phenomenon through a little used lens in the context of administration research: the analysis of canonical correlation, which represents another look at the influence of the actions of the top management and the interaction of individuals, as argued by Amayah (2013), Isidro-Filho (2009), Lipshitz and Popper (1996) and Lipshitz et al. (2002). The discussions and the data analysis carried out in this research allow us to envisage significant contributions of this work to the analysis and theoretical refinement of the study of the variables treated.