Sustaining Competitive Advantage Via Business Intelligence Knowledge Management And System Dynamics

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.

In the New Economy, intelligence will be essential for firms to gain competitive advantage—not just information or knowledge. Competitive intelligence, or the strategic gathering of knowledge about competitors, climate, trends, new products, has a long and successful history of generating competitive advantage. In this book, Rothberg and Erickson demonstrate how corporations can combine their competitive intelligence gathering with their internal knowledge management gathering into one dynamic system. Using real-world cases from the corporate world, the authors show how the strategic use of this combined system generates measurable competitive advantage. Topics covered include how be develop your strategy for sharing and gathering knowledge across the value chain, sustainable product development and innovation, manufacturing improvement, CRM and marketing, and developing a corporate-wide global knowledge strategy.

This book highlights interdisciplinary insights, latest research results, and technological trends in Business Intelligence and Modelling in fields such as: Business Intelligence, Business Transformation, Knowledge Dissemination & Implementation, Modeling for Logistics, Business Informatics, Business Model Innovation, Simulation Modelling, E-Business, Enterprise & Conceptual Modelling, etc. The book is divided into eight sections, grouping emerging marketing technologies together in a close examination of practices, problems and trends. The chapters have been written by researchers and practitioners that demonstrate a special orientation in Strategic Marketing and Business Intelligence. This volume shares their recent contributions to the field and showcases their exchange of insights.

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.

Game Strategies for Business Integration in the Digital Economy reveals the essence, features and benefits of various strategies for business integration in the digital economy.

New Insights on Trust in Business-to-Business Relationships provides readers with advanced original insights on trust antecedents, processes and consequences within the B2B marketing context and offers practical tools alongside suggestions for future research.

Volume 23B includes two chapters covering problems and implementations of solutions in e-services adoption processes in developing nations. These are exciting and useful chapters for executives and researchers seeking knowledge and theory of how to influence e-service adoptions in developing nations!

This book describes tools that are useful for decision-makers to improve their understanding of what is likely to happen in different configurations of contexts and decisions and to improve their forecasting abilities substantially.