Systems Thinking for Knowledge Transfer in Organic and Mechanistic Organizations

Author:

Crichton-Sumners Camille12,Mansouri Mo2,Sauser Brian3

Affiliation:

1. New Jersey Department of Transportation, 1035 Parkway Avenue, Trenton, NJ 08625.

2. School of Systems and Enterprises, Stevens Institute of Technology, Castle Point on the Hudson, Hoboken, NJ 07030.

3. Department of Marketing and Logistics, University of North Texas, 1155 Union Circle, Number 311396, Denton, TX 76203-5017.

Abstract

Research units in state government transportation agencies exist within traditionally hierarchical, or mechanistic, organizations. They manage and conduct research studies and ensure the successful transfer of knowledge through both inter- and intraorganizational relationships and through knowledge transfer activities. These activities may entail the transfer of knowledge at the local, state, federal or international level. Improving knowledge transfer ultimately improves organizational performance. Use of Burns and Stalkers’ dualism—mechanistic versus organic management systems—to describe government organizations aids in the recognition of the current condition and in the identification of the characteristics of an environment that will be more conducive to efficient knowledge transfer. This information will help decision makers within these organizations to select the appropriate organizational structure, or processes, to enhance knowledge transfer. The increasing amount of information and growing organizational complexity require a systems thinking approach to identifying opportunities for improvement within these organizations. This paper describes how systems thinking can aid in exploring knowledge transfer within organic and mechanistic state government organizations and offers contributions to the body of knowledge concerning government entities and intentional knowledge transfer.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Cited by 2 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. A Service-Based Measurement Model for Determining Disruptive Workforce Training Technology Value;Advances in Business Information Systems and Analytics;2024-06-30

2. A Postdigital Perspective on Organisations;Postdigital Science and Education;2018-11-21

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