Оглавление
Группа авторов. Digital Transformation: Evaluating Emerging Technologies
World Scientific Series in R&D Management
About the Editor
Acknowledgements
Contents
Chapter 1. Technical Transformation: Transportation Technologies
Abstract
1.Background
1.1.Objective
1.2.Problem definition
1.3.Gap analysis
1.4.Perspectives and criteria
1.5.Relevant application alternatives
2.Municipal Non-Bus and Non-Emergency Fleets
3.School Bus Fleets
4.Garbage Truck Fleets
5.Individually Owned EVs
6.Military Fleets
6.1.Model building
6.2.Data analysis and results
Conclusion
References
Chapter 2. Technical Transformation: Cloud Services
Abstract
1.Introduction
2.Company Profile
3.IT Strategy and Considerations
3.1.Benefits of cloud
3.2.Challenges of cloud
4.Literature Review
4.1.How objectives and criteria are determined
4.2.Use of experts and Delphi
4.3.Cloud computing models
5.HDM Model
5.1.Mission
5.2.Objectives
5.3.Criteria
5.4.Strategy
6.Results and Discussions
6.1.First round of analysis
6.2.Second round of analysis
7.Further Analysis of the Results. 7.1.First round of analysis. 7.1.1.The top three objectives
7.1.2.The top three criteria
7.1.3.The strategy rankings
7.2Second round of analysis. 7.2.1.The top three objectives
7.2.2.The top three criteria
7.2.3.The strategy rankings
8.Conclusion
9.Limitations and Future Work
References
Chapter 3. Technical Transformation: Cloud Computing
Abstract
1.Introduction
2.Methodology
3.Hierarchical Decision Model
3.1.Pairwise comparison
3.2.Inconsistency
3.3.Disagreement
3.4.Decision model
3.5.Expert panel
3.6.Decision elements and model levels
3.7.Cloud computing complexity
3.8.Cloud computing compatibility
3.9.Cloud computing architecture
3.10.Cloud computing security
3.10.1.Confidentiality
3.10.2.Integrity
3.10.3.Availability
3.10.4.Cloud computing usability
3.10.5.Cloud computing cost factor
3.11. Analysis and key findings
3.12.Future research and limitations
3.13.Conclusion and recommendation
References
Appendix A. Final Results
Statistical F-test
Appendix B
Chapter 4. Technical Transformation: Internet of Things
Abstract
1.Introduction
2.Methodology
2.1.Hierarchical decision model
2.1.1.Level 1: Objective—Select a microcontroller for the Smart Water IoT
2.1.2.Levels 2 and 3: Criteria and subcriteria [3, 4, 6−11] 2.1.2.1.Suitability criteria
2.1.2.2.Availability criteria
2.1.2.3.Subcriteria
2.1.2.4.Development support criteria
2.1.2.4.1.Subcriteria
2.1.2.5.Manufacturer’s track record criteria
2.1.2.5.1.Subcriteria
2.1.3.Level 4: Alternatives
2.1.3.1.PIC24FJ128GA204 from Microchip Technologies [17]
2.1.3.1.1.Development environment
2.1.3.1.2.Availability of parts
2.1.3.1.3.Microchip Technologies (Atmel) company profile
2.1.3.2.MSP430FR6972 from Texas Instruments [20]
2.1.3.2.1.Development tools and software
2.1.3.2.2.Ultrasonic Water Flow Measurement reference design [22]
2.1.3.2.3.MSP MCU programmer and debugger
2.1.3.2.4.Availability of parts
2.1.3.2.5.Texas Instruments company profile
2.1.3.3.ATSAML22G16A from Atmel (now Microchip Technologies)
2.1.3.3.1.Availability of parts
2.1.3.4.R5F10NLEDFB#30 from Renesas
2.1.3.4.1.Key features
Broad scalability
2.1.3.4.2.Availability of parts
2.1.3.4.3.Renesas Electronics company profile
3.Data and Data Source(s)
3.1.Panel of experts
4.Data
5.Analysis and Key Findings
5.1.Relative weights of Alternatives towards the Objective
5.1.1.Level 1: Relative weights of each criteria towards the Objective
5.1.2.Level 2: Relative weights of each Subcriteria towards the Objective via the Suitability criteria
5.1.3.Level 2: Relative weights of each Subcriteria towards the Objective via the Availability Criteria
5.1.4.Level 2: Relative weights of each Subcriteria towards the Objective via the Development Support criteria
5.1.5.Level 2: Relative weights of each Subcriteria towards the Objective via the Manufacturer’s Track Record Criteria
5.2.Discussion
6.Future Research
References
Appendix A: Final, Quantified Model
Appendix B: AHP/HDM PCM Data Tables
Chapter 5. Technical Transformation: IT in Disaster Management
Abstract
1.Introduction
2.Literature Review. 2.1.Social media
2.2.Crowdsourcing software
2.3.GIS and remote sensing devices
2.4.Disaster Management Information System
2.5.Mobile and HAM radio
3.Methodology. 3.1.Framework
3.2.Evaluation methodology
3.2.1.HDM
3.2.1.1.Criteria and subcriteria
3.2.2.TV Model
4.Data Analysis and Results
4.1.Expert input
4.2.Results (Figures 7–12)
5.Conclusion
6.Future Recommendations
References
Appendix A: Survey HDM
Appendix B: Survey Results
Appendix C: Desirability Table Description
Appendix D: Desirability Table
Chapter 6. Personal Transformation: Evaluation of Smart Home Hubs
Abstract
1.Introduction
2.Literature Review. 2.1.Home automation overview
2.2.Smart hubs overview
3.Problem Statement
4.Project Objective
5.Methodology. 5.1.Perspectives
5.1.1.Technical perspective
5.1.2.Economic perspective
5.1.3.Personal (social) perspective
5.2.Gap analysis
5.2.1.Technological perspective
5.2.2.Economic perspective
5.2.3.Personal perspective
5.3.HDM
5.4.HDM development
5.5.Pairwise comparison
5.6.Objective level
5.7.Criteria level
Technical perspective
Economic perspective
Personal perspective
5.8Technology alternatives
5.8.1.Alternative 1: Samsung SmartThings
5.8.2.Alternative 2: VeraSecure
5.8.3.Alternative 3: Wink 2
5.8.4.Alternative 4: Securifi Almond 3
5.8.5.Alternative 5: Amazon Echo Plus
5.8.6.Alternative 6: Smartphones
5.9.Expert panel
6.Result Analysis and Discussion
6.1.Perspectives ranking
6.2.Inconsistency and disagreement
6.3.Criteria ranking
6.4.Alternative ranking
6.5.Overall HDM results
7.Future Research
8.Conclusion
References
Appendix A: References of Alternative Ranking Table
Appendix B: HDM Result Table
Appendix C: Impact of Alternatives to Overall Objective
Chapter 7. Personal Transformation: Protocols for Home Automation Application
Abstract
1.Introduction. 1.1.Home automation overview
1.2.Communication protocols
2.Problem Statement
3.Literature Review
3.1.Candidate protocols
3.1.1.WiFi
3.1.2.ZigBee
3.1.3.Z-Wave
3.1.4.Bluetooth
3.2.Mesh networking
4.Methodology. 4.1.Multiple-Criteria Decision Models
4.1.1.The Analytic Network Process
4.1.2.Best-Worst Method
4.1.3.Multi-attribute Utility Theory
4.1.4.Decision Expert
4.1.5.Analytic Hierarchy Process
4.2.HDM overview
4.3.The HDM model development
4.4.Perspectives and criteria
4.4.1.Flexibility
4.4.2.Network
4.4.3.Reliability
4.5.Data collection
5.Results and Analysis. 5.1.Perspectives ranking
5.2.Overall HDM ranking
6.Future Research
References
Chapter 8. Personal Transformation: Smart House
Abstract
1.Introduction
2.Literature Review
3.Methodology
4.Problem Definition
5.Identification of Objectives and Features
6.Implementation and Results. 6.1.Data gathering
6.2.Outcome analysis
7.Conclusion
7.1Limitations
7.2Future works
References
Appendix A: The Questionnaire in the Survey Form Used to Gather Experts’ Opinions
Appendix B. The Features’ Weight for the Different Characteristics of the Experts
Chapter 9. Personal Transformation: Wearable GPS Device for Children
Abstract
1.Introduction
1.1.Technology definition
1.2.What do they do? What are they used for?
2.Problem Definition
3.Literature Review
3.1.Price
3.2.Battery life
3.3.Waterproof
3.4.Service range
3.5.Communication
3.6.Compatibility
3.7.Real time
3.8.Distraction-free
3.9.Monthly fee
3.10.Panic alert
3.11.Ease of use
3.12.Appeal
4.Relevant Brands
4.1.HereO GPS watch
4.2.AmbyGear
4.3.Filip 2
4.4.Caref GPS
4.5.Omate Wherecom K3
5.Methodology—HDM. 5.1.The HDM
5.2.Criteria selection and model building
6.Data Analysis and Results
7.Limitations and Future Research
8.Conclusion
References
Appendix A. Experts Individual Results of Subcriteria
Appendix B. Research Model
Chapter 10. Personal Transformation: Smartwatches
Abstract
1.Introduction into Smartwatches. 1.1.History
1.2.Definition
1.3.What do they do and what are they useful for?
1.4.Market numbers
2.Problem Definition
3.Relevant Providers
4.Methodology—the Hierarchical Decision Model. 4.1.The Hierarchical Decision Model
4.2.Criteria selection and model building
5.Data Analysis and Results
6.Limitations and Future Research
7.Conclusion
References
Appendix A. Survey Instrument
Appendix B. Experts Individual Results
Chapter 11. Personal Transformation: Drones
Abstract
1.Introduction
1.1.History of drones
1.2.“Follow-me drones” technology and benefits
1.3.How does the technology work?
1.4.Benefits
1.5.Market numbers
2.Problem Definition
3.Alternative Products
3.1.DJI Phantom 3
3.2.DJI Phantom 4
3.3.DJI Phantom 4 Pro
3.4.DJI Mavic Pro
3.5.Hubsan 501S
3.6.3DR Solo
3.7.3DR IRIS+
3.8.Yuneec Typhoon H
3.9.AirDog
3.10.Ehang GhostDrone 2.0
3.11.Lily
4.Methodology. 4.1.HDM. 4.1.1.HDM history
4.1.2.HDM structure
4.1.3.Application areas
4.1.4.Weaknesses and strengths of the HDM
4.2.Criteria selection and model building
4.2.1.Value
4.2.2.Performance
4.2.3.Features
4.3.Summary of Alternatives with selected criteria
4.4.HDM
4.5.Expert panels. 4.5.1.Expert panel 1
4.5.2.Expert panel 2
5.Data Analysis and Results. 5.1.Level 2 results
5.1.1Analysis
5.2.Level 3 results
5.2.1.Performance
5.2.2.Analysis
5.2.3.Value
5.2.4.Analysis
5.2.5.Features
5.2.6.Analysis
5.3.Final results
5.3.1.Analysis
6.Limitations and Future Research. 6.1.Limitations
6.2.Future research
7.Key Learning Points
8.Conclusion
References
Chapter 12. Personal Transformation: Electric Scooter
Abstract
1.Introduction
2.Scope
3.Methodology. 3.1.The Hierarchical Decision Model
4.Technology Gap
5.Perspectives
6.Criteria
7.Gathering Data
8.The HDM Model
9.Candidate Technology
10.Results
11.Discussion and Limitations
12.Future Studies
References
Chapter 13. Personal Transformation: Wireless Services
Abstract
1.Introduction
2.Problem Statement
3.Methodology
4.Decision Model
4.1.Hierarchy Decision Model
4.2.Pairwise comparison
4.3.Criteria and Subcriteria
4.3.1.Cost
4.3.2.Technical specification
4.3.3.Customer service and support
4.3.4.Availability of features
4.4.Alternatives
4.5.Assumptions
4.6.Decision model for cellphone service providers
5.Implementing the Model
6.Result
7.Conclusion
8.Further Research
References
Appendix A: Service Providers
Appendix B
Appendix C
Chapter 14. Organizational Transformation: Semiconductors
Abstract
1.Introduction
1.1.Project objective
2.Background and Framework Overview
2.1.Framework of innovation measurement
2.2.Methodology used
2.2.1.How does the HDM work?
2.2.2.Expert panels
2.2.3.HDM development
2.2.4.Indicator evaluation and weights
2.2.5.Desirability values
2.2.6.Sensitivity analysis
2.3.Demonstration of the model
3.Lam Research Overview
3.1.Growth in revenue and market share
3.2.Research and development
3.3.Skilled talent pool, patents and publications
3.4.New products and solutions
4.Data Collection and Calculations
4.1.Distribution values and innovativeness index
5.Results and Analysis
6.Conclusion and Recommendations
7.Limitations of the Study
References
Appendix A: Distribution and Background of Expert Panel 1 [1]
Appendix B: Distribution and Background of Expert Panel 2 [1]
Appendix C: Distribution and Background of Expert Panel 3 [1]
Appendix D: Desirability Curves for All Indicators [1]
Chapter 15. Organizational Transformation: Universities
Abstract
1.Introduction
2.Literature Review. 2.1.Online education
2.2.Learning management systems
2.3.Learning content management systems
3.Problem Statement
4.Methodology. 4.1.Technology evaluation
5.Proposed Model
5.1.Model definitions
5.2.Normalization values
5.3.Model validation
5.4.Data collection
6.Case Studies. 6.1.Portland State University
6.2.Results and analysis
6.3.Community college
6.4.Results and analysis
7.Sensitivity Analysis
7.1.Sensitivity analysis 1
7.2.Sensitivity analysis 2
7.3.Sensitivity analysis 3
8.Comparison of Results
9.Conclusions
10.Limitations
11.Future Research
References
Appendix A: Expert List. Experts who were contacted to do the entire model
Experts who were contacted to do the ease of use criterion
Experts who were contacted to do the ease of support criterion
Appendix B: Normalization Values Collection Tool
Appendix C: Case Study and Sensitivity Analysis Calculations. Calculations for priorities and weights
Calculations for technology values
Chapter 16. Organizational Transformation: Consumer Goods
Abstract
1.Introduction
1.1.Purpose of packaging
1.2.Type of packaging
1.3.Labels on packaging
1.4.Labels dilemma
1.5.Insights from the FMCG industry
2.Methodology
2.1.Gap analysis
2.1.1.Technical gap
2.1.2.Economic gap
2.1.3.Social gap
2.2.Environment analysis
2.2.1.Barcodes
2.2.2Radio-Frequency Identification
2.3.Hierarchical Decision Model
2.3.1.Constructing the HDM
2.3.2.The alternatives
2.4.Summary
3.Results
3.1.Scoring calculation
3.2.Sensitive analysis
4.Conclusions and Outlook
References
Appendix A: HDM Expert Opinion
Technical factor
Technical factor subcriteria
Economic factor
User experience
Appendix B: Alternatives Scoring
Technical factors—labeler machine
Technical factors—scanning device
User experience—producers
User experience—consumers
