Knowledge technology : converting data and information into valuable ideas / / Yoshiteru Nakamori

• Record Nr.: UNINA9910492138403321
• Autore: Nakamori Yoshiteru
• Pubbl/distr/stampa: Gateway East, Singapore : , : Springer, , [2021]; ©2021
• ISBN: 981-16-3253-7
• Descrizione fisica: 1 online resource (127 pages)
• Collana: SpringerBriefs in business
• Disciplina: 658.4038
• Soggetti: Knowledge management
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: 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 -- 5.2.2 Integrative Knowledge Technologies -- 5.2.2.1 Systems Engineering (Handling of Big Data) -- 5.2.2.2 Meta-Synthesis Systems Approach (Analysis) -- 5.2.3 Claim and Challenge -- 5.3 Utilizing Cultivated Intuition of People -- 5.3.1 Qualitative Data Analysis Methods -- 5.3.1.1 Grounded Theory -- 5.3.1.2 Sentiment Analysis and Opinion Mining -- 5.3.1.3 Sentiment Analysis by Artificial Intelligence -- 5.3.2 Integrative Knowledge Technologies -- 5.3.2.1 Soft Systems Methodology (Solution Search Models) -- 5.3.2.2 Organizational Knowledge Creation Theory (Externalization) -- 5.3.2.3 Knowledge Systems Engineering (Knowledge Transfer/Share) -- 5.3.3 Analysis Frameworks -- 5.3.4 Claim and Challenge -- References -- 6 Creating Ideas from the Knowledge -- 6.1 Guideline and Goal.; 6.1.1 Guideline: Emergence Principle -- 6.1.2 Goal: Novelty -- 6.2 Creating Ideas Through Systematization -- 6.2.1 Computer Simulation -- 6.2.1.1 Agent-Based Models -- 6.2.1.2 System Dynamics -- 6.2.2 Integrative Knowledge Technologies -- 6.2.2.1 Systems Engineering (Risk Analysis) -- 6.2.2.2 Meta-Synthesis Systems Approach (Synthesis) -- 6.2.2.3 Knowledge Systems Engineering (Knowledge Integration/Creation) -- 6.2.3 Knowledge Construction Systems Methodology -- 6.2.4 Claim and Challenge -- 6.3 Creating Ideas with Creative Technologies -- 6.3.1 Integrative Knowledge Technologies -- 6.3.1.1 Soft Systems Methodology (Reform Plan) -- 6.3.1.2 Organizational Knowledge Creation Theory (Combination) -- 6.3.1.3 Design Thinking (Ideation) -- 6.3.2 Idea Creation Frameworks -- 6.3.2.1 Brainstorming -- 6.3.2.2 Affinity Diagram -- 6.3.2.3 Mind Map -- 6.3.3 Claim and Challenge -- References -- 7 Validating the Value of Ideas -- 7.1 Guideline and Goal -- 7.1.1 Guideline: Evolutionary Falsification Principle -- 7.1.2 Goal: Usefulness -- 7.2 Justifying and Promoting Ideas -- 7.2.1 Integrative Knowledge Technologies -- 7.2.1.1 Design Thinking (Prototyping, Storytelling) -- 7.2.1.2 Meta-Synthesis Systems Approach (Evaluation Meeting) -- 7.2.2 Fusing Qualitative and Quantitative Approaches -- 7.2.3 Strategy Frameworks -- 7.2.4 Knowledge Construction Systems Methodology -- 7.2.5 Claim and Challenge -- 7.3 Implementing Ideas and Verifying the Value -- 7.3.1 Integrative Knowledge Technologies -- 7.3.1.1 Soft Systems Methodology (Action) -- 7.3.1.2 Organizational Knowledge Creation ; Theory (Internalization) -- 7.3.1.3 Knowledge Systems Engineering (Using New Ideas) -- 7.3.2 Evaluation Methods -- 7.3.2.1 Customer Satisfaction Survey -- 7.3.2.2 Reputation Analysis -- 7.3.3 Claim and Challenge -- References -- 8 Pursuing Reason and Sensibility -- 8.1 Summary.; 8.1.1 Definition of Knowledge Technology -- 8.1.2 Value Creation Spiral -- 8.1.2.1 Constructive Evolutionary Objectivism (Guideline) -- 8.1.2.2 Goals for Respective Sub-Processes -- 8.1.3 Claims and Challenges -- 8.2 Perspective -- 8.2.1 Fusing Systems Thinking and Knowledge Management -- 8.2.2 Effective Use of Big Data -- 8.2.3 Cooperation with Artificial Intelligence -- 8.2.4 Developing Knowledge Systems Engineering -- 8.3 Conclusion.