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Author Tang, Chunlei
Title The Data Industry : The Business and Economics of Information and Big Data
Imprint Hoboken : John Wiley & Sons, Incorporated, 2016
©2016
book jacket
Edition 1st ed
Descript 1 online resource (218 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Note cover -- Title Page -- Copyright -- Dedication -- Contents -- Preface -- Chapter 1 What is Data Industry? -- 1.1 Data -- 1.1.1 Data Resources -- 1.1.2 The Data Asset -- 1.2 Industry -- 1.2.1 Industry Classification -- 1.2.2 The Modern Industrial System -- 1.3 Data Industry -- 1.3.1 Definitions -- 1.3.2 An Industry Structure Study -- 1.3.3 Industrial Behavior -- 1.3.4 Market Performance -- Chapter 2 Data Resources -- 2.1 Scientific Data -- 2.1.1 Data-Intensive Discovery in the Natural Sciences -- 2.1.2 The Social Sciences Revolution -- 2.1.3 The Underused Scientific Record -- 2.2 Administrative Data -- 2.2.1 Open Governmental Affairs Data -- 2.2.2 Public Release of Administrative Data -- 2.2.3 A "Numerical" Misunderstanding in Governmental Affairs -- 2.3 Internet Data -- 2.3.1 Cyberspace: Data of the Sole Existence -- 2.3.2 Crawled Fortune -- 2.3.3 Forum Opinion Mining -- 2.3.4 Chat with Hidden Identities -- 2.3.5 Email: The First Type of Electronic Evidence -- 2.3.6 Evolution of the Blog -- 2.3.7 Six Degrees Social Network -- 2.4 Financial Data -- 2.4.1 Twins on News and Financial Data -- 2.4.2 The Annoyed Data Center -- 2.5 Health Data -- 2.5.1 Clinical Data: EMRs, EHRs, and PHRs -- 2.5.2 Medicare Claims Data Fraud and Abuse Detection -- 2.6 Transportation Data -- 2.6.1 Trajectory Data -- 2.6.2 Fixed-Position Data -- 2.6.3 Location-Based Data -- 2.7 Transaction Data -- 2.7.1 Receipts Data -- 2.7.2 e-Commerce Data -- Chapter 3 Data Industry Chain -- 3.1 Industrial Chain Definition -- 3.1.1 The Meaning and Characteristics -- 3.1.2 Attribute-Based Categories -- 3.2 Industrial Chain Structure -- 3.2.1 Economic Entities -- 3.2.2 Environmental Elements -- 3.3 Industrial Chain Formation -- 3.3.1 Value Analysis -- 3.3.2 Dimensional Matching -- 3.4 Evolution of Industrial Chain -- 3.5 Industrial Chain Governance -- 3.5.1 Governance Patterns
3.5.2 Instruments of Governance -- 3.6 The Data Industry Chain and its Innovation Network -- 3.6.1 Innovation Layers -- 3.6.2 A Support System -- Chapter 4 Existing Data Innovations -- 4.1 Web Creations -- 4.1.1 Network Writing -- 4.1.2 Creative Designs -- 4.1.3 Bespoke Style -- 4.1.4 Crowdsourcing -- 4.2 Data Marketing -- 4.2.1 Market Positioning -- 4.2.2 Business Insights -- 4.2.3 Customer Evaluation -- 4.3 Push Services -- 4.3.1 Targeted Advertising -- 4.3.2 Instant Broadcasting -- 4.4 Price Comparison -- 4.5 Disease Prevention -- 4.5.1 Tracking Epidemics -- 4.5.2 Whole-Genome Sequencing -- Chapter 5 Data Services in Multiple Domains -- 5.1 Scientific Data Services -- 5.1.1 Literature Retrieval Reform -- 5.1.2 An Alternative Scholarly Communication Initiative -- 5.1.3 Scientific Research Project Services -- 5.2 Administrative Data Services -- 5.2.1 Police Department -- 5.2.2 Statistical Office -- 5.2.3 Environmental Protection Agency -- 5.3 Internet Data Services -- 5.3.1 Open Source -- 5.3.2 Privacy Services -- 5.3.3 People Search -- 5.4 Financial Data Services -- 5.4.1 Describing Correlations -- 5.4.2 Simulating Market-Makers' Behaviors -- 5.4.3 Forecasting Security Prices -- 5.5 Health Data Services -- 5.5.1 Approaching the Healthcare Singularity -- 5.5.2 New Drug of Launching Shortcuts -- 5.5.3 Monitoring in Chronic Disease -- 5.5.4 Data Supporting Data: Brain Sciences and Traditional Chinese Medicine -- 5.6 Transportation Data Services -- 5.6.1 Household Travel Characteristics -- 5.6.2 Multivariate Analysis of Traffic Congestion -- 5.6.3 Short-Term Travel Time Estimation -- 5.7 Transaction Data Services -- 5.7.1 Pricing Reform -- 5.7.2 Sales Transformation -- 5.7.3 Payment Upgrading -- Chapter 6 Data Services in Distinct Sectors -- 6.1 Natural Resource Sectors -- 6.1.1 Agriculture: Rely on What?
6.1.2 Forestry Sector: Grain for Green at All Costs? -- 6.1.3 Livestock and Poultry Sector: Making Early Warning to Be More Effective -- 6.1.4 Marine Sector: How to Support the Ocean Economy? -- 6.1.5 Extraction Sector: A New Exploration Strategy -- 6.2 Manufacturing Sector -- 6.2.1 Production Capacity Optimization -- 6.2.2 Transforming the Production Process -- 6.3 Logistics and Warehousing Sector -- 6.3.1 Optimizing Order Picking -- 6.3.2 Dynamic Equilibrium Logistic Channels -- 6.4 Shipping Sector -- 6.4.1 Extracting More Transportation Capacity -- 6.4.2 Determining the Optimal Transfer in Road, Rail, Air, and Water Transport -- 6.5 Real Estate Sector -- 6.5.1 Urban Planning: Along the Timeline -- 6.5.2 Commercial Layout: To Be Unique -- 6.5.3 Property Management: Become Intelligent -- 6.6 Tourism Sector -- 6.6.1 Travel Arrangements -- 6.6.2 Pushing Attractions -- 6.6.3 Gourmet Food Recommendations -- 6.6.4 Accommodation Bidding -- 6.7 Education and Training Sector -- 6.7.1 New Knowledge Appraisal Mechanism -- 6.7.2 Innovative Continuing Education -- 6.8 Service Sector -- 6.8.1 Prolong Life: More Scientific -- 6.8.2 Elderly Care: Technology-Enhanced, Enough? -- 6.8.3 Legal Services: Occupational Changes -- 6.8.4 Patents: The Maximum Open Data Resource -- 6.8.5 Meteorological Data Services: How to Commercialize? -- 6.9 Media, Sports, and the Entertainment Sector -- 6.9.1 Data Talent Scout -- 6.9.2 Interactive Script -- 6.10 Public Sector -- 6.10.1 Wargaming -- 6.10.2 Public Opinion Analysis -- Chapter 7 Business Models in the Data Industry -- 7.1 General Analysis of the Business Model -- 7.1.1 A Set of Elements and Their Relationships -- 7.1.2 Forming a Specific Business Logic -- 7.1.3 Creating and Commercializing Value -- 7.2 Data Industry Business Models -- 7.2.1 A Resource-Based View: Resource Possession
7.2.2 A Dynamic-Capability View: Endogenous Capacity -- 7.2.3 A Capital-Based View: Venture-Capital Operation -- 7.3 Innovation of Data Industry Business Models -- 7.3.1 Sources -- 7.3.2 Methods -- 7.3.3 A Paradox -- Chapter 8 Operating Models in the Data Industry -- 8.1 General Analysis of the Operating Model -- 8.1.1 Strategic Management -- 8.1.2 Competitiveness -- 8.1.3 Convergence -- 8.2 Data Industry Operating Models -- 8.2.1 Gradual Development: Google -- 8.2.2 Micro-Innovation: Baidu -- 8.2.3 Outsourcing: EMC -- 8.2.4 Data-Driven Restructuring: IBM -- 8.2.5 Mergers and Acquisitions: Yahoo! -- 8.2.6 Reengineering: Facebook -- 8.2.7 The Second Venture: Alibaba -- 8.3 Innovation of Data Industry Operating Models -- 8.3.1 Philosophy of Business -- 8.3.2 Management Styles -- 8.3.3 Force Field Analysis -- Chapter 9 Enterprise Agglomeration of the Data Industry -- 9.1 Directive Agglomeration -- 9.1.1 Data Resource Endowment -- 9.1.2 Multiple Target Sites -- 9.2 Driven Agglomeration -- 9.2.1 Labor Force -- 9.2.2 Capital -- 9.2.3 Technology -- 9.3 Industrial Symbiosis -- 9.3.1 Entity Symbiosis -- 9.3.2 Virtual Derivative -- 9.4 Wheel-Axle Type Agglomeration -- 9.4.1 Vertical Leadership Development -- 9.4.2 The Radiation Effect of Growth Poles -- 9.5 Refocusing Agglomeration -- 9.5.1 "Smart Heart" of the Central Business District -- 9.5.2 The Core Objective "Besiege -- Chapter 10 Cluster Effects of the Data Industry -- 10.1 External Economies -- 10.1.1 External Economies of Scale -- 10.1.2 External Economies of Scope -- 10.2 Internal Economies -- 10.2.1 Coopetition -- 10.2.2 Synergy -- 10.3 Transaction Cost -- 10.3.1 The Division of Cost -- 10.3.2 Opportunity Cost -- 10.3.3 Monitoring Cost -- 10.4 Competitive Advantages -- 10.4.1 Innovation Performance -- 10.4.2 The Impact of Expansion -- 10.5 Negative Effects -- 10.5.1 Innovation Risk
10.5.2 Data Asset Specificity -- 10.5.3 Crowding Effect -- Chapter 11 A Mode of Industrial Development for the Data Industry -- 11.1 General Analysis of the Development Mode -- 11.1.1 Influence Factors -- 11.1.2 Dominant Styles -- 11.2 A Basic Development Mode for the Data Industry -- 11.2.1 Industrial Structure: A Comprehensive Advancement Plan -- 11.2.2 Industrial Organization: Dominated by the SMEs -- 11.2.3 Industrial Distribution: Endogenous Growth -- 11.2.4 Industrial Strategy: Self-Dependent Innovation -- 11.2.5 Industrial Policy: Market Driven -- 11.3 An Optimized Development Mode for the Data Industry -- 11.3.1 New Industrial Structure: Built on Upgrading of Traditional Industries -- 11.3.2 New Industrial Organization: Small Is Beautiful -- 11.3.3 New Industrial Distribution: Constructing a Novel Type of Industrial Bases -- 11.3.4 New Industrial Strategy: Industry/University Cooperation -- 11.3.5 New Industrial Policy: Civil-Military Coordination -- Chapter 12 A Guide to the Emerging Data Law -- 12.1 Data Resource Law -- 12.2 Data Antitrust Law -- 12.3 Data Fraud Prevention Law -- 12.4 Data Privacy Law -- 12.5 Data Asset Law -- References -- Index -- EULA
Description based on publisher supplied metadata and other sources
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2020. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
Link Print version: Tang, Chunlei The Data Industry : The Business and Economics of Information and Big Data Hoboken : John Wiley & Sons, Incorporated,c2016 9781119138433
Subject Information technology--Economic aspects
Electronic books
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