Discrete Dynamics in Nature and Society

Knowledge Management in Complex Organization Systems


Publishing date
01 Nov 2022
Status
Published
Submission deadline
17 Jun 2022

Lead Editor

1University of Electronic Science and Technology of China, Chengdu, China

2Hongik University, Seoul, Republic of Korea

3Harbin Engineering University, Harbin, China

4University of Newfoundland, St. John's, Canada


Knowledge Management in Complex Organization Systems

Description

Knowledge management is an integral issue for all organizations, and in recent years, knowledge management in complex organization systems has attracted attention from scholars across a variety of interdisciplinary research fields. In-depth and effective knowledge management theories and methods can help managers to better understand the underlying mechanisms behind many complex knowledge management phenomena, such as the collective evolution of organizational performance and knowledge capital, internal relationships between organizational structure and knowledge diffusion, and the innovation and emergence of knowledge resources.

In this era of the information economy, complex organization systems have complex network structures and characteristics, which significantly influence the behaviors of knowledge transfer, knowledge diffusion, knowledge innovation, and knowledge emergence. Moreover, the increasingly complex coupling relationships between knowledge management behaviors and complex organization systems, as well as the occurrence of new modes of organizational systems and the emergence of large amounts of innovative knowledge, creates challenges in understanding these behaviors. Therefore, it is necessary to further develop theories and methods for knowledge management behaviors and mechanisms in complex organization systems.

The aim of this Special Issue is to bring together original research and review articles highlighting new theories and methods to deal with the complexity of knowledge management behaviors in complex organization systems. We welcome submissions devoted to recent advancements in complex organization system theories and methods, and their application to address the challenges of knowledge management research. Other empirical or theoretical approaches related to knowledge management behaviors and mechanisms in complex organization systems will also be considered.

Potential topics include but are not limited to the following:

  • Application of complex system theories and methods for knowledge management
  • Complex network theory in knowledge diffusion
  • Synergetic theory in knowledge innovation organizations
  • Application of social network analysis in knowledge discovery
  • Application of evolutionary game model in knowledge sharing
  • Chaos theory and its application in knowledge innovation organizations
  • Multi-agent models and their applications in knowledge transfer
  • System dynamics models in knowledge innovation and spillover
  • Complex adaptive system theory in knowledge innovation networks
  • Ecological niche model in organizational knowledge emergence
  • Collective evolution mechanism of organizational performance and knowledge capital

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 7453565
  • - Research Article

Analyzing Impact of Intellectual Capital on Business Performance Using Structural Models Based on Customer Knowledge Management

Seyedeh Maryam Ameli kalkhoran | Kamran Rabiei | ... | Yaser Rouzpeykar
  • Special Issue
  • - Volume 2022
  • - Article ID 1126772
  • - Research Article

The Impact of Cognitive Heterogeneity on the Behavioral Integration of the R&D Team: The Perspective of Conflict Management

Hongtao Xie | Yun Song | ... | Junwei Zheng
  • Special Issue
  • - Volume 2022
  • - Article ID 4358132
  • - Research Article

Knowledge Sharing Motivation, Behavior, and Creativity of Knowledge Workers in Virtual Organizations

Jian Jin | Sid Suntrayuth
  • Special Issue
  • - Volume 2022
  • - Article ID 9755719
  • - Research Article

The Internet-Based Business Model and Corporate Risk-Taking: An Empirical Study from the Information Empowerment Perspective

Lei Li | Shuili Yang
  • Special Issue
  • - Volume 2022
  • - Article ID 4891288
  • - Research Article

Entropy Weight TOPSIS Evaluation of Corporate Internal Control Quality Based on Fuzzy Matter-Element Model

Tao Tian | Xiaoning Li | ... | Dajian Tong
  • Special Issue
  • - Volume 2022
  • - Article ID 1519717
  • - Research Article

Dual-Channel Effect of Job Insecurity on Knowledge Workers’ Innovative Behavior

Yuan Li | Zhongwu Li
  • Special Issue
  • - Volume 2022
  • - Article ID 6756548
  • - Research Article

Relationship between External Environment, Internal Conditions, and Digital Transformation from the Perspective of Synergetics

Xiaowen Luo | Shun-Chi Yu
  • Special Issue
  • - Volume 2022
  • - Article ID 1631931
  • - Research Article

Evolutionary Analysis of Innovation Development in a Metropolitan Area from a Symbiosis Perspective: Empirical Research on the Shanghai Metropolitan Area

Quanxiang Xue | Can Liu | ... | Jie Wu
  • Special Issue
  • - Volume 2022
  • - Article ID 2100837
  • - Research Article

Decision Analysis for the Remanufacturing System in the Presence of Carbon Cap and Trade Policy and Low-Carbon Consumers

Xiaoge Meng | Shushu Xie | ... | Yingxue Zhao
  • Special Issue
  • - Volume 2022
  • - Article ID 9067136
  • - Research Article

Organizational Climate, Innovation Orientation, and Innovative Work Behavior: The Mediating Role of Psychological Safety and Intrinsic Motivation

Ziqing Xu | Huilin Wang | Sid Suntrayuth
Discrete Dynamics in Nature and Society
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Acceptance rate13%
Submission to final decision127 days
Acceptance to publication23 days
CiteScore2.000
Journal Citation Indicator0.410
Impact Factor1.4
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