A Druckerian Framework for Understanding and Leveraging Digital Ecosystems

Authors

DOI:

https://doi.org/10.34190/ecie.19.1.2755

Keywords:

Digital Transformation, Digital Ecosystems, Innovation Management, Strategic Leadership, Customer-Centric Approach, Business Model Development

Abstract

This paper explores the transformative potential of digital ecosystems through the lens of Peter Drucker's management philosophy. By examining case studies of Audi, M-PESA, and Apple CarPlay, it identifies several key success factors such as a clear vision, customer-centricity, effective leadership, robust technology, a supportive culture, strategic partnerships, and data-driven insights. These elements are crucial for driving innovation and maintaining a competitive edge. The study integrates Drucker's principles with contemporary strategies, emphasizing innovation, customer focus, leadership, and the role of knowledge workers. It offers valuable insights for organizations aiming to thrive in the digital age and outlines a comprehensive business model to navigate digital transformation successfully.

Author Biographies

Zhaoxia Yi, Drucker School of Management at Claremont Graduate University

Zhaoxia Yi is a visionary PhD candidate at the Drucker School of Management at Claremont Graduate University, interested in research on artificial intelligence's impact on business management and innovation. With over a decade of experience in operations and management at a leading global home appliance company, she explores how emerging technology can revolutionize strategic planning and drive organizational change. Passionate about technology's transformative potential, Zhaoxia Yi is dedicated to helping businesses thrive in the AI-driven era.

Yubo Fu, California State University San Marcos

Yubo Fu is an Assistant Professor of Management Information Systems, specializing in management information systems, database management, machine learning, and business analytics. Dr. Fu's research is focused on the analysis of healthcare data and healthcare informatics. Her work in text mining aims to improve care quality and support clinical and translational research.

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Published

2024-09-20