Intro
Organization
Preface
Acknowledgments
Contents
Contributors
Innovation and Technology Transfer: Developments and Issues
Data Security as a Top Priority in the Digital World: Preserve Data Value by Being Proactive and Thinking Security First
1 Introduction
2 Rationale of the Study
3 CVE Security Vulnerability Database
3.1 CVE Scope and Classification of the Vulnerabilities
3.2 CVE Statistics of Most Popular Databases
4 CVE Registry Versus IoTSE-Based Testing Results
5 Conclusions
References
Design Thinking Innovation and Trends Foresighting

1 Introduction
2 Methodology
2.1 Participants
2.2 Knowledge Context
2.3 Data Sources and Instruments
3 Conceptual Framework, Design and Foresight
3.1 Conceptual Notes Between Prediction and Forecasting
4 Results
5 Conclusions
References
Fake News and Threats to IoT-The Crucial Aspects of Cyberspace in the Times of Cyberwar
1 Introduction
2 The Current Vision of Cybersecurity
3 The New Threat-Compromising IoT Devices
4 Weaponizing Online Disinformation
5 Conclusions
References

Information Security Risk Awareness Survey of Non-governmental Organization in Saudi Arabia
1 Introduction
2 Theoretical Framework
2.1 Basic Concepts
2.2 Related Work
3 Research Methodology
3.1 Sampling
3.2 Data Collection
3.3 Ethical Consideration
4 Results and Discussion
4.1 Descriptive Analysis
4.2 Associations Between Variables
5 Conclusion
Appendix
Appendix A: Survey Questions
References
Digital Transformation in Tourism Ecosystems: What Impact on Sustainability and Innovation?
1 Introduction

2 Theoretical Background. Data-Driven Orientation, Innovation and Sustainability: What Link?
3 Methodology
4 Findings
4.1 RQ1: Data-Driven Orientation in the STE
4.2 RQ2: The Development of Innovation and Sustainability
5 Conclusions
References
Science, Technology and Innovation Policy in the USA During the Covid-19 Pandemic
1 Introduction
2 Methodology
3 The Position of the USA in Terms of Innovation in the Light of the Global Innovation Index 2021
4 The STI Policy Measures Implemented in the USA During the Covid-19 Pandemic
5 Conclusions
References

An Application of Machine Learning in the Early Diagnosis of Meningitis
1 Introduction
1.1 Machine Learning Algorithms
2 Orange Canvas
2.1 Random Forest
2.2 K-Nearest-Neighbors
2.3 Logistic Regression
3 Results
4 Discussion
5 Conclusion
References
Research Development on Assistive Technology: A Network and Concept-Linking Analysis
1 Introduction
2 Materials and Methods
2.1 Data Collection and Descriptive Analysis
2.2 Network Analysis
2.3 Concept-Linking Analysis
3 Results
3.1 Descriptive Analysis