Innovations in Knowledge Management: Applying Modular Design

This article presents an advanced method for managing knowledge using a modular design approach and applied the approach through an example with computer manufacturing. The benefits of modularity are discussed both within and between companies. We find that through modular design, knowledge management systems are simplified and communication between modules is greatly improved. In addition, modularity makes parallel innovation possible, as well as, sharing innovative resources through collaboration. Modularity leads to effective knowledge sharing and thus stimulates knowledge-based innovation. A case study of the computer industry further demonstrates the effects of modularity in an industry. Finally, we suggest that enterprises should take advantage of modularity when they carry out knowledge-based innovation and the measures are developed to implement successful modularity.

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Developing and Maintaining Knowledge Management Systems for Dynamic, Complex Domains

Creating Knowledge Based Organizations ◽

10.4018/978-1-59140-162-9.ch010 ◽

2011 ◽

pp. 203-229 ◽

Cited By ~ 7

Author(s):

Lisa J. Burnell ◽

John W. Priest ◽

John R. Durrett

Keyword(s):

Knowledge Management ◽

Business Processes ◽

Systems Development ◽

Management Systems ◽

Knowledge Management Systems ◽

Agent Architectures ◽

Knowledge Resources ◽

Knowledge Based ◽

Development Processes

An effective knowledge-based organization is one that correctly captures, shares, applies and maintains its knowledge resources to achieve its goals. Knowledge Management Systems (KMS) enable such resources and business processes to be automated and are especially important for environments with dynamic and complex domains. This chapter discusses the appropriate tools, methods, architectural issues and development processes for KMS, including the application of Organizational Theory, knowledge-representation methods and agent architectures. Details for systems development of KMS are provided and illustrated with a case study from the domain of university advising.

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Developing and Maintaining Knowledge Management Systems for Dynamic, Complex Domains

Knowledge Management ◽

10.4018/978-1-59904-933-5.ch049 ◽

2011 ◽

pp. 571-592

Author(s):

Lisa J. Burnell ◽

John W. Priest ◽

John R. Durrett

Keyword(s):

Knowledge Management ◽

Business Processes ◽

Systems Development ◽

Management Systems ◽

Knowledge Management Systems ◽

Agent Architectures ◽

Knowledge Resources ◽

Knowledge Based ◽

Development Processes

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Knowledge Management Systems Characteristics That Support Knowledge Sharing and Decision-Making Processes in Organizations

Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering ◽

10.4018/978-1-7998-9023-2.ch008 ◽

2021 ◽

pp. 182-200

Author(s):

Mahmoud Abdelrahman ◽

Firas Masri ◽

Dimitra Skoumpopoulou

Keyword(s):

Decision Making ◽

Knowledge Management ◽

Conceptual Framework ◽

Knowledge Sharing ◽

Management Systems ◽

Management Decision ◽

Knowledge Management Systems ◽

Structured Interviews ◽

Public And Private ◽

Management Decision Making

With the advent of the knowledge economy and the growing importance of knowledge societies, organizations are constantly seeking new ways of leveraging and sharing knowledge to support decision-making (DM) processes. This chapter presents an initial insight to the little-researched phenomenon of how knowledge management systems (KMSs) can facilitate knowledge sharing (KS) to support DM processes in organizations. In this chapter, authors aim to extend the existing literature of knowledge management, decision making, and knowledge sharing by proposing a new conceptual framework, namely “ECUA” (easiness, communication, unification, and analytics characteristics). In this study, 42 semi-structured interviews have been conducted. The proposed conceptual framework will benefit managers in both public and private sectors in finding new ways of leveraging and sharing knowledge to support DM processes via using KMSs. This framework can be used to explore KMSs characteristics that can support DM processes by facilitating knowledge sharing in organizations.

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