Implementing Knowledge in Organizations for Improved Performance Outcomes: Emerging Research and Opportunities

Implementing Knowledge in Organizations for Improved Performance Outcomes: Emerging Research and Opportunities

Michael J. Gravier, Ted Farris
Projected Release Date: February, 2020|Copyright: © 2020 |Pages: 260
DOI: 10.4018/978-1-7998-2487-9
ISBN13: 9781799824879|ISBN10: 179982487X|ISBN13 Softcover: 9781799824886|EISBN13: 9781799824893
Out of print.
Description & Coverage
Description:

The rapid rate of change in technology—often referred to as the Fourth Industrial Revolution and characterized by shifts in globalization, socio-economic advances, scientific and engineering discoveries, and demographic trends—is transforming industries across the world. An important yet poorly understood impact of technology regards how to implement it to maximize its impact on how knowledge flows within and increasingly between organizations in order to achieve specific performance outcomes. This understanding is especially needed to guide the deployment and polices related to Fourth Industrial Revolution technologies such as AI, 3D printing, 5G networks, and edge computing.

Implementing Knowledge in Organizations for Improved Performance Outcomes: Emerging Research and Opportunities is an essential publication that provides insights from organizations and research on the cutting edge of knowledge-based theory and practices that lay the groundwork for explaining the relationship between Fourth Industrial Revolution technologies and organizational performance outcomes in a way that guides its implementation. Professionals will benefit from a deepened understanding of how to deploy technology for improved organizational performance outcomes, and researchers will benefit from the latest research regarding the practice and theory of the relationship between knowledge management technologies and performance outcomes. Featuring coverage on a wide range of topics including life cycle management, qualitative decision models, and systems engineering, this book is ideally designed for productivity managers, programmers, computer scientists, supply chain managers, policymakers, researchers, academicians, and students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Decision Support Systems
  • Fourth Industrial Revolution
  • Implementation Strategies
  • Information Management
  • Knowledge Management
  • Lifecycle Management
  • Organizational Management
  • Qualitative Decision Models
  • Supply Chain Management
  • Systems Engineering
  • Technology Adoption
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