MODELING NATIONAL INNOVATION SYSTEM ENABLED BY KNOWLEDGE MANAGEMENT

Author:

Chu Mei-Tai1,Fardoei Sedigheh Rezaeian2,Fallah Hasan2,Ghazinoory Sepehr3,Aliahmadi Alireza4

Affiliation:

1. Department of Management, La Trobe Business School, Faculty of Business, Economics and Law, La Trobe University, Bundoora, Victoria, 3086, Australia

2. Department of Industrial Engineering, Faculty of Engineering, Payame Noor University, PO BOX 19395-3697, Tehran, Iran

3. Department of Industrial Engineering, Faculty of Information Technology, Tarbiat Modares University, Jalal Ale Ahmad Highway, Tehran, Iran

4. Department of Industrial Engeenring, Faculty of Engineering, Science and Technology University, Resalat, Tehran, Iran

Abstract

The main objective of this paper is to explore the model of how knowledge management functions enables national innovation system. To achieve the objectives of the study, a conceptual framework is proposed and described, then the systemic analysis is undertaken. Path coefficient and t-value are also used to measure the relationships among chosen variables. A great number of sources are used to collect data, including questionnaires, interviews, observations, and literature review. The achievements of the study demonstrate 10 distinctive national innovation system performance dimensions and the relationship with knowledge management functions. The first layer includes explicit knowledge, while the second layer deals with tacit knowledge. Both of two layers link to a complete knowledge management functions and processes: explicit knowledge building, explicit knowledge gathering, explicit knowledge distributing, explicit knowledge reusing, tacit knowledge capturing, tacit knowledge sharing tacit knowledge disseminating, tacit knowledge innovating; whereas the third layer includes NIS enablers items or performance dimension of national innovation system: quality, effectiveness, quantity, codification, structure, efficiency, internalization, expertise, effectiveness.

Publisher

Vilnius Gediminas Technical University

Subject

Economics and Econometrics,Business, Management and Accounting (miscellaneous)

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