Knowledge Exchange Protocols: A Second Study

Author:

Herschel Richard1,Nemati Hamid2,Steiger David3

Affiliation:

1. Decision & System Sciences Department, St. Joseph's University, Erivan K. Haub School of Business, 5600 City Avenue, Philadelphia, PA 19131-1395, USA

2. ISOM Department, Bryan School, University of North Carolina at Greensboro, Greensboro, NC 27412, USA

3. The Maine Business School, 5723 Donald P. Corbett Business Building, Orono, ME 04469-5723, USA

Abstract

In the knowledge management domain, the conversion of tacit knowledge to explicit knowledge is critical because it is a prerequisite to the knowledge amplification process wherein knowledge becomes part of an organization's knowledge network. Moreover, this process is strategically important because it enhances an organization's ability to create new knowledge that is inevitably expressed through the organization's capabilities, products, and services. The conversion of tacit to explicit knowledge is particularly relevant to information technology (IT), because IT can only partially facilitate tacit knowledge management, while it offers a substantial number of techniques to support the management and sharing of explicit knowledge. In this paper, knowledge exchange protocols are examined as a vehicle for improving the tacit-to-explicit knowledge conversion process. In a second experiment testing the use of knowledge exchange protocols, initial findings are confirmed: while structure may significantly improve the tacit-to-explicit knowledge conversion process, it also matters how the structure is employed in this process.

Publisher

World Scientific Pub Co Pte Lt

Subject

Library and Information Sciences,Computer Networks and Communications,Computer Science Applications

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Tacit Knowledge Management in Engineering Industries: Systematic Literature Review and Development of a Conceptual Model;Journal of Information & Knowledge Management;2023-03-31

2. The Importance of Storytelling in Business Intelligence;International Journal of Business Intelligence Research;2017-01

3. Knowledge Management in Business Intelligence;Knowledge Management and Organizational Learning;2009

4. Chief Knowledge Officers;Encyclopedia of Information Science and Technology, Second Edition;2009

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3