Intro
Preface
Contents
1 Introduction
1.1 Conveyor Belt Sushi Restaurants
1.1.1 The History of Sushi
1.1.2 Conveyor Belt Sushi
1.2 Data Collection Means
1.2.1 IC Tag (IC Chip)
1.2.2 Touch Panel
1.2.3 Cash Register
1.3 From Data Collection to Value Creation
1.3.1 Observation
1.3.2 Understanding
1.3.3 Emergence
1.3.4 Implementation
1.4 Value Creation Spiral
1.5 Information and Knowledge
Reference
2 Defining Knowledge Technology
2.1 Science and Technology
2.1.1 Soft Science and Soft Technology
2.1.2 Integrative Soft Technology

2.2 Knowledge Technology
2.2.1 Emergence and Hierarchy
2.2.2 Polanyi's Tacit Knowledge
2.2.3 Nonaka's Tacit Knowledge
2.2.4 An Encounter of Systems Thinking and Knowledge Management
2.2.5 Abduction (Hypothetical Reasoning)
2.2.6 Definition of Knowledge Technology
2.3 Systems Science and Knowledge Science
2.3.1 Revisiting Knowledge Management
2.3.2 Complementarity Between Systems Science and Knowledge Science
References
3 Integrative Knowledge Technologies
3.1 Decision Support Technology
3.2 Integrative Knowledge Technologies
3.2.1 Systems Engineering

3.2.2 Creative Approaches
3.2.2.1 Soft Systems Methodology
3.2.2.2 Organizational Knowledge Creation Theory
3.2.2.3 Design Thinking
3.2.3 Synthetic Approaches
3.2.3.1 Meta-Synthesis Systems Approach
3.2.3.2 Knowledge Systems Engineering
3.3 Knowledge Construction Systems Methodology
3.4 Invitation to the Main Part
References
4 Converting Data/Knowledge into Information
4.1 Guideline and Goal
4.1.1 Guideline: Multimedia Principle
4.1.2 Goal: Completeness
4.2 Converting Data into Information
4.2.1 Data Management
4.2.1.1 Transaction Table

4.2.1.2 Cross-Tabulation
4.2.1.3 Visualization Tools
4.2.1.4 Data Mining
4.2.1.5 Text Mining
4.2.2 Big Data
4.2.2.1 Big Data Usage Examples
4.2.2.2 Engineers/Analysts Who Deal with Big Data
4.2.3 Claim and Challenge
4.3 Converting Knowledge into Information
4.3.1 Important Perspectives
4.3.1.1 Quantification Bias
4.3.1.2 Thick Data
4.3.2 Knowledge Management
4.3.3 Integrative Knowledge Technologies
4.3.3.1 Soft Systems Methodology (Problem Situation Expressed)
4.3.3.2 Organizational Knowledge Creation Theory (Socialization)

4.3.3.3 Design Thinking (Observation/Empathy)
4.3.3.4 Meta-Synthesis Systems Approach (Expert Meeting)
4.3.3.5 Knowledge Systems Engineering (Knowledge Acquisition)
4.3.4 Claim and Challenge
References
5 Converting Information into Knowledge
5.1 Guideline and Goal
5.1.1 Guideline: Intervention Principle
5.1.2 Goal: Logicality
5.2 Utilizing Well-Established Rational Analysis Methods
5.2.1 Analysis and Modeling
5.2.1.1 Qualitative Regression Models
5.2.1.2 Stochastic Models
5.2.1.3 Time Series Models
5.2.1.4 Neural Network Models