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Reseach Article

Article:An Empirical Study of Managing Knowledge Workers

by K P Tripathi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 7
Year of Publication: 2010
Authors: K P Tripathi
10.5120/1694-2255

K P Tripathi . Article:An Empirical Study of Managing Knowledge Workers. International Journal of Computer Applications. 12, 7 ( December 2010), 1-6. DOI=10.5120/1694-2255

@article{ 10.5120/1694-2255,
author = { K P Tripathi },
title = { Article:An Empirical Study of Managing Knowledge Workers },
journal = { International Journal of Computer Applications },
issue_date = { December 2010 },
volume = { 12 },
number = { 7 },
month = { December },
year = { 2010 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume12/number7/1694-2255/ },
doi = { 10.5120/1694-2255 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:01:00.109267+05:30
%A K P Tripathi
%T Article:An Empirical Study of Managing Knowledge Workers
%J International Journal of Computer Applications
%@ 0975-8887
%V 12
%N 7
%P 1-6
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

We are living in a knowledge driven society fraught with uncertainty, market fluctuations, and aggressive competition. Today’s emerging age of knowledge economy and knowledge management has created a new breed of company employees, whose intellectual capital is the accumulated experience, commitment and potential for developing and maintaining the learning organization. Such a breed is referred to as the knowledge worker. A knowledge worker puts people first. He or she leverages technology to maximize efficiency and corporate success round the clock. The driver of success in the new knowledge economy is knowledge. It is impressive that people can earn a living by working with something as intangible as knowledge. This paper is an attempt to highlights the study of managing knowledge workers.

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Index Terms

Computer Science
Information Sciences

Keywords

Knowledge Management Knowledge workers Explicit Knowledge Tacit Knowledge Knowledge Building Model Work Adjust Model for Knowledge Workers