Knowledge technology : converting data and information into valuable ideas /

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Bibliographic Details
Author / Creator:Nakamori, Yoshiteru.
Imprint:Singapore : Springer, 2021.
Description:1 online resource (127 p.).
Language:English
Series:SpringerBriefs in business
SpringerBriefs in business.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12613873
Hidden Bibliographic Details
ISBN:9789811632532
9811632537
9789811632525
Notes:5.2.2 Integrative Knowledge Technologies.
Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed July 22, 2021).
Summary:This book reviews creative technologies that underpin the human activities of converting data and information into knowledge, creating new ideas based on that knowledge, and validating those ideas. The book calls such creative technology knowledge technology and explores its challenges in the age of big data. Today, artificial intelligence and big data are successfully performing pattern recognition and decision making on behalf of humans, who are incapable of processing large amounts of information instantly and accurately. In using only past data, however, there are limits to future predictions with artificial intelligence and big data. Humans need to take the lead in predicting or creating the future by trying to understand why data emerged. Knowledge technology contributes to that understanding, regardless of the field of origin. As a matter of fact, knowledge technology includes many technologies developed in informatics, management study, and systems science. The desirable features of knowledge technology are the complementary use of rational and intuitive approaches, the integration of results from quantitative and qualitative analyses, and the cooperation between artificial intelligence and humans.
Other form:Print version: Nakamori, Yoshiteru Knowledge Technology Singapore : Springer Singapore Pte. Limited,c2021 9789811632525
Standard no.:10.1007/978-981-16-3253-2

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505 0 |a 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 
505 8 |a 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 
505 8 |a 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 
505 8 |a 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) 
505 8 |a 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 
500 |a 5.2.2 Integrative Knowledge Technologies. 
520 |a This book reviews creative technologies that underpin the human activities of converting data and information into knowledge, creating new ideas based on that knowledge, and validating those ideas. The book calls such creative technology knowledge technology and explores its challenges in the age of big data. Today, artificial intelligence and big data are successfully performing pattern recognition and decision making on behalf of humans, who are incapable of processing large amounts of information instantly and accurately. In using only past data, however, there are limits to future predictions with artificial intelligence and big data. Humans need to take the lead in predicting or creating the future by trying to understand why data emerged. Knowledge technology contributes to that understanding, regardless of the field of origin. As a matter of fact, knowledge technology includes many technologies developed in informatics, management study, and systems science. The desirable features of knowledge technology are the complementary use of rational and intuitive approaches, the integration of results from quantitative and qualitative analyses, and the cooperation between artificial intelligence and humans. 
504 |a Includes bibliographical references. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed July 22, 2021). 
650 0 |a Information technology.  |0 http://id.loc.gov/authorities/subjects/sh87002293 
650 0 |a Knowledge management.  |0 http://id.loc.gov/authorities/subjects/sh97007353 
650 0 |a Artificial intelligence.  |0 http://id.loc.gov/authorities/subjects/sh85008180 
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650 7 |a Information technology.  |2 fast  |0 (OCoLC)fst00973089 
650 7 |a Knowledge management.  |2 fast  |0 (OCoLC)fst00988184 
655 4 |a Electronic books. 
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