
empirical study on knowledge sharing practices of it sector managers in telengana region
Author(s) -
N.R Saravanan,
T Trishla
Publication year - 2022
Publication title -
international journal of health sciences (ijhs) (en línea)
Language(s) - English
Resource type - Journals
eISSN - 2550-6978
pISSN - 2550-696X
DOI - 10.53730/ijhs.v6ns1.5287
Subject(s) - knowledge management , tacit knowledge , knowledge sharing , business , information technology , revenue , structural equation modeling , information sharing , explicit knowledge , field (mathematics) , empirical research , knowledge value chain , computer science , organizational learning , philosophy , mathematics , accounting , epistemology , machine learning , world wide web , pure mathematics , operating system
An online questionnaire was used to collect data from 203 information technology managers in the Telagana region about their knowledge-sharing procedures and their organization's overall success. Model validation and hypothesis evaluation relied on data analysis via structural equation modelling. According to the data, there appears to be a strong connection between the model structures. Because of this, we have gotten a better understanding of the elements that impact knowledge exchange in the information technology sector. A beneficial influence on an organization's performance in terms of cost savings, revenue growth, and other intangible benefits can be deduced from these researches. Using the conclusions of this study, the IT industry can benefit from better information-sharing practises. To help practitioners improve their knowledge-sharing procedures within their own businesses, this study provides critical information. Web 2.0 and other knowledge-sharing technologies, for example, should be prioritised by management in their IT infrastructure to allow both tacit and explicit information interchange. According to the findings, businesses can pass expert knowledge to younger generations of employees via knowledge-sharing events. That means organisations in the information technology field can benefit from this approach by better retaining employee expertise and reducing employee departures.