Sustaining Competitive Advantage Via Business Intelligence Knowledge Management And System Dynamics
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Sustaining Competitive Advantage via Business Intelligence, Knowledge Management, and System Dynamics
Author: Mohammed Quaddus
language: en
Publisher: Emerald Group Publishing
Release Date: 2015-10-28
Chapter 1 examines the relationships between absorptive capacity and effective knowledge management through the analysis of quantitative data drawn from managers and employees in residential aged care organizations in Western Australia. Chapter 2 provides an application of system dynamics modelling in firms in the poultry industry in Bangladesh.
Sustaining Competitive Advantage via Business Intelligence, Knowledge Management, and System Dynamics
Author: Mohammed Quaddus
language: en
Publisher: Emerald Group Publishing
Release Date: 2015-10-07
Volume 22 includes two main chapters in both Part A and B. It appears in two parts because all chapters offer great depth in coverage of core issues senior executives must address for long-term survival of the firm: business intelligence, knowledge management, and understanding of the systems dynamics of interfirm behavior.
Managing Complex Tasks with Systems Thinking
Author: Hassan Qudrat-Ullah
language: en
Publisher: Springer Nature
Release Date: 2023-11-13
This book is about improving human decision making and performance in complex tasks. Utilizing systems thinking approach, this book presents innovative and insightful solutions to various managerial issues in various domains including agriculture, education, climate change, digital transformation, health care, supply chains, and sustainability. Practical insights and operational causal models are systematically presented. The key features of the didactic approach of this book are core knowledge, numerous tables and figures throughout the text, system archetypes, and causal loop models. This book serves as a text for college and university courses on Systems Thinking for Management Decision Making in Complex Tasks. Researchers use the developed “causal models” to design and evaluate various decision-aiding technologies. It is used as a source of practical information for a broad community of decision-makers, researchers, and practitioners concerned with the issue of improving human performance in complex organizational tasks.