Construction and Management of Knowledge Systems in High-Tech Enterprises

Author: Rui Mingjie
Publisher:
Publish Date: 2006-08-01
Features: High-tech enterprises face rapidly changing technological and market environments, resulting in intense competition among them. Traditional economic and management theories encounter unprecedented difficulties and limitations when explaining economic phenomena in the high-tech sector. The profit increasing law proposed by Professor W. Brian Arthur, who once served as president of Stanford University, merely opens the curtain for the research of different economic and management theories required for the high-tech field. There is still a vast area for research in high-tech enterprise management theory. This book consists of an "Introduction" and "Four Parts." The Introduction provides a brief overview of the entire book, first defining key concepts such as high-tech enterprises, the construction of knowledge systems, and knowledge system management. Subsequently, it examines the theoretical and practical significance of knowledge management in high-tech enterprises from the perspective of knowledge system construction, offering a concise review of existing related research. Finally, it outlines the main research line, research approach, structure, and methodology of the book. The main text is divided into four parts.
Part I includes Chapters 1, 2, 3, and 4. Chapter 1 analyzes the knowledge essence and basic characteristics of high-tech enterprises, examining the distribution of corporate knowledge. Through an analysis of the carriers of corporate knowledge, it concludes that employees and corporate knowledge memory devices are the fundamental components of the corporate knowledge system. Chapter 2 analyzes high-tech enterprise knowledge points, i.e., high-knowledge employees, defining the concept of "knowledge workers" and examining their basic characteristics, status, functions, and methods of knowledge enhancement. Chapter 3 focuses on the analysis of the knowledge chain in high-tech enterprises. Chapter 4 examines the knowledge field of the high-tech enterprise knowledge system. Section 1 defines the concept of the knowledge field and conducts a comparative analysis between the knowledge field and Nonaka's "Ba," proposing and analyzing the concept of field strength and the three variables determining it: physical distance, psychological distance, and knowledge distance, as well as the mechanisms by which these variables influence the force of knowledge. Section 2 analyzes the external manifestations of the corporate knowledge field, arguing that the force of the knowledge field is reflected in employees' behavioral patterns following certain conventions, internal communication using a shared language, and consistent knowledge among members. It also examines the functions and evolution of the knowledge field.
Part II includes Chapters 5 and 6, analyzing the "Dynamic Operational Model and Mechanism of Knowledge in High-Tech Enterprises." Chapter 5 examines the operational model of the high-tech enterprise knowledge system. Section 1 analyzes the operational objectives and the three factors influencing their achievement: management factors, resource factors, and environmental factors. Section 2 examines the carrier of its operation, applying the basic perspective of organizational structure knowledge determinism. Section 3 analyzes the core knowledge activities of the high-tech enterprise knowledge system: knowledge acquisition, dissemination, application, storage, and knowledge innovation. Section 4 analyzes the operational model of the high-tech enterprise knowledge system.
Part III includes Chapters 7, 8, and 9. Chapter 7 derives management principles based on the analysis of Part II. Chapter 8 proposes specific knowledge management strategies based on the four basic management principles. Chapter 9 employs an empirical analysis method through in-depth case studies, using Shanghai Baosight Software Co., Ltd. (hereinafter referred to as Baosight Software or Baosight) as the analytical unit, providing evidence to support the conclusions of the theoretical analysis.