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Towards Industry 4.0 — Current Challenges in Information Systems

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Cover of 'Towards Industry 4.0 — Current Challenges in Information Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Towards Industry 4.0: Functional and Technological Basis for ERP 4.0 Systems
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    Chapter 2 Statistic-Based Method for Budgetary Control Limits Setting—Renewed Approach in the Context of Industry 4.0
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    Chapter 3 Supporting Investment Decisions Based on Cognitive Technology
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    Chapter 4 Intelligent Support of Accounting IT Systems in Modern Enterprises
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    Chapter 5 A Conceptual Framework of Intelligent System for Environmental Life Cycle Costing
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    Chapter 6 Prospects and Limitations of the Use of Blockchain-Options for the Supply of Electricity
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    Chapter 7 Digital Transformation of Public Administration Through Blockchain Technology
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    Chapter 8 The Cyber Threats Analysis for Web Applications Security in Industry 4.0
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    Chapter 9 Schemes for Verification of Resources in the Cloud: Comparison of the Cloud Technology Providers
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    Chapter 10 Business Process as a Service—A Systematic Literature Review
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    Chapter 11 Data Lake: Strategic Challenges for Small and Medium Sized Enterprises
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    Chapter 12 Agile Approach to Develop Data Lake Based Systems
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    Chapter 13 On Quality Assessment of Websites Offering Mobile Applications
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    Chapter 14 Conceptual Foundations for the Temporal Big Data Analytics (TBDA) Implementation Methodology in Organizations
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    Chapter 15 Supporting Time Management in the Process of New Product Development: The Source of Problems and Directions of Research, the Problem of Creative Work
Attention for Chapter 7: Digital Transformation of Public Administration Through Blockchain Technology
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Chapter title
Digital Transformation of Public Administration Through Blockchain Technology
Chapter number 7
Book title
Towards Industry 4.0 — Current Challenges in Information Systems
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-40417-8_7
Book ISBNs
978-3-03-040416-1, 978-3-03-040417-8
Authors

Artur Rot, Małgorzata Sobińska, Marcin Hernes, Bogdan Franczyk, Rot, Artur, Sobińska, Małgorzata, Hernes, Marcin, Franczyk, Bogdan

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 17%
Student > Master 7 9%
Student > Doctoral Student 7 9%
Lecturer 4 5%
Unspecified 3 4%
Other 11 14%
Unknown 32 42%
Readers by discipline Count As %
Business, Management and Accounting 13 17%
Social Sciences 11 14%
Computer Science 8 10%
Unspecified 3 4%
Engineering 3 4%
Other 6 8%
Unknown 33 43%