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Table of Contents
Cover
Title
Copyright
End User License Agreement
Contents
Preface
List of Contributors
Business Model Innovation for Mobile Application Development for SMEs in Response to Disruptive Innovation
Errol Francke1,*
INTRODUCTION
RESEARCH PROBLEM
AIM
OBJECTIVES
LITERATURE REVIEW
Development of the State-response Model
The Aspects of Business Model Innovation
The Type of Disruptive Innovation
The Business Value of Artificial Intelligence
Summary of the Literature
METHODOLOGY
Stage One
Stage Two
Stage Three
Stage Four
RESULTS
Stage One
Stage Two
Stage Three
Stage Four
Summary of the Results
ANALYSIS
Disruptive Innovation State Response Model
Disruptive Innovation Praxis Model
CONCLUSION
GLOSSARY
REFERENCES
Cybersecurity Culture as a Critical Component of Digital Transformation and Business Model Innovation in SMEs
Zoran Mitrovic1,*, Colin Thakur1 and Sudhika Palhad1
INTRODUCTION
DIGITAL TRANSFORMATION AND BUSINESS MODELS INNOVATION
APPROACH TO THIS STUDY
TECHNOLOGIES USED IN DIGITAL TRANSFORMATION THROUGH BUSINESS MODELS INNOVATION
CYBERSECURITY RISKS OF DIGITAL TRANSFORMATION AND BUSINESS MODEL INNOVATION
A BASIC PREVENTATIVE MEASURE: DEVELOPING CYBERSECURITY CULTURE
CONCLUSION
GLOSSARY
REFERENCES
Assessing SMEs' Business Model Innovation Readiness
Cecil Kgoetiane1,*
INTRODUCTION
METHODS AND DISCUSSION
OVERVIEW OF SMES AND THEIR IMPACT ON THE SOUTH AFRICAN ECONOMY
Overview of Intelligent Analytics
Society 5.0 and 4IR+ Leading into Intelligent Analytics
How COVID-19 Accelerated the Adoption of Disruptive Technology?
SMEs' Business Model Innovation
SMEs' Business Model Innovation Readiness
Implications of Business Model Innovation
The Role of the SMEs' Owner-managers.
CONCLUDING REMARKS
GLOSSARY
REFERENCES
Digital Transformation in SMEs: Developing Digital Business Model Innovations Based on Artificial Intelligence
Tlou Maggie Masenya1,*
INTRODUCTION
PROBLEM STATEMENT
CONCEPTUAL FRAMEWORK
Value Proposition (Why?)
Operational Value (What?)
Human Capital (Who?)
Financial Value (How?)
Business Model Canvas
METHODOLOGY
DATA ANALYSIS AND FINDINGS
The Impact of Digital Transformation on Business Operations and Processes in Small and Medium-sized Enterprises
Strategies for Effective Development of Business Model Innovation
Artificial Intelligence as a Driver for Digital Business Model Innovation (DBMI) in SMEs
Proposed Digital Business Model Innovation based on Artificial Intelligence
CONCLUSION AND RECOMMENDATIONS
GLOSSARY
REFERENCES
Understanding the Affordances of Expert Systems in Improving the Competitiveness of South African Insurance SMEs
Stevens P. Mamorobela1,*
INTRODUCTION AND BACKGROUND
RESEARCH PROBLEM
PURPOSE AND OBJECTIVES
LITERATURE REVIEW
CONCEPTUAL MODEL
Knowledge Development and Utilisation
SME Competencies
Expert System Characteristics
RESEARCH METHODOLOGY
Research Setting
Quantitative Phase
Qualitative Phase
FINDINGS AND DISCUSSION
FINDINGS OF THE QUANTITATIVE PHASE
FINDINGS OF THE QUALITATIVE PHASE
LIMITATIONS AND FUTURE RESEARCH DIRECTION
CONCLUSION
GLOSSARY
REFERENCES
Factors Affecting the Adoption of Data as a Service (DaaS) in Small, Medium, and Micro Enterprises (SMMEs)
Megan Morta1 and Osden Jokonya1,*
INTRODUCTION
LITERATURE REVIEW
Big Data Adoption by SMMEs
Data as a Service (DaaS)
Theoretical Frameworks
Technology Context
Organizational Context
Environment Context
RESEARCH METHODOLOGY
Research Instrument
Data Sources and Sampling.
Research Method and Data Analysis
RESEARCH RESULTS
Demographic Data
Articles Published by Year
Articles by Region
Articles by Research Method
Articles by Research Type
Articles by Framework
TOE Factors
Technological Factors
Organizational Factors
Environmental Factors
DISCUSSION AND CONCLUSION
GLOSSARY
REFERENCES
Factors Affecting the Adoption of Emerging Technologies to Reduce Food Waste by SMEs in the Food Industry
Talent Muzondo1 and Osden Jokonya1,*
INTRODUCTION
LITERATURE REVIEW
Food Waste in Food Industry
Related Studies
TOE Framework
Technological Factors
Organizational Factors
Environmental Factors
Theoretical Framework
RESEARCH METHODOLOGY
Instrument Development
Data Sources and Sampling
Research Methods
Data Analysis
STUDY RESULTS
Articles Published by Year
Articles by Region
Articles by Research Method
Articles by Research Type
Articles by Framework
Technological Factors
Organizational Factors
Environmental Factors
Analysis of Variance (ANOVA) of TOE Construct Variables vs. Demographic Variable
Technological Factors by Region
Organizational Factors by Region
Environmental Factors by Region
Correlation Between TOE Factors
DISCUSSION AND CONCLUSION
GLOSSARY
REFERENCES
Subject Index.
Title
Copyright
End User License Agreement
Contents
Preface
List of Contributors
Business Model Innovation for Mobile Application Development for SMEs in Response to Disruptive Innovation
Errol Francke1,*
INTRODUCTION
RESEARCH PROBLEM
AIM
OBJECTIVES
LITERATURE REVIEW
Development of the State-response Model
The Aspects of Business Model Innovation
The Type of Disruptive Innovation
The Business Value of Artificial Intelligence
Summary of the Literature
METHODOLOGY
Stage One
Stage Two
Stage Three
Stage Four
RESULTS
Stage One
Stage Two
Stage Three
Stage Four
Summary of the Results
ANALYSIS
Disruptive Innovation State Response Model
Disruptive Innovation Praxis Model
CONCLUSION
GLOSSARY
REFERENCES
Cybersecurity Culture as a Critical Component of Digital Transformation and Business Model Innovation in SMEs
Zoran Mitrovic1,*, Colin Thakur1 and Sudhika Palhad1
INTRODUCTION
DIGITAL TRANSFORMATION AND BUSINESS MODELS INNOVATION
APPROACH TO THIS STUDY
TECHNOLOGIES USED IN DIGITAL TRANSFORMATION THROUGH BUSINESS MODELS INNOVATION
CYBERSECURITY RISKS OF DIGITAL TRANSFORMATION AND BUSINESS MODEL INNOVATION
A BASIC PREVENTATIVE MEASURE: DEVELOPING CYBERSECURITY CULTURE
CONCLUSION
GLOSSARY
REFERENCES
Assessing SMEs' Business Model Innovation Readiness
Cecil Kgoetiane1,*
INTRODUCTION
METHODS AND DISCUSSION
OVERVIEW OF SMES AND THEIR IMPACT ON THE SOUTH AFRICAN ECONOMY
Overview of Intelligent Analytics
Society 5.0 and 4IR+ Leading into Intelligent Analytics
How COVID-19 Accelerated the Adoption of Disruptive Technology?
SMEs' Business Model Innovation
SMEs' Business Model Innovation Readiness
Implications of Business Model Innovation
The Role of the SMEs' Owner-managers.
CONCLUDING REMARKS
GLOSSARY
REFERENCES
Digital Transformation in SMEs: Developing Digital Business Model Innovations Based on Artificial Intelligence
Tlou Maggie Masenya1,*
INTRODUCTION
PROBLEM STATEMENT
CONCEPTUAL FRAMEWORK
Value Proposition (Why?)
Operational Value (What?)
Human Capital (Who?)
Financial Value (How?)
Business Model Canvas
METHODOLOGY
DATA ANALYSIS AND FINDINGS
The Impact of Digital Transformation on Business Operations and Processes in Small and Medium-sized Enterprises
Strategies for Effective Development of Business Model Innovation
Artificial Intelligence as a Driver for Digital Business Model Innovation (DBMI) in SMEs
Proposed Digital Business Model Innovation based on Artificial Intelligence
CONCLUSION AND RECOMMENDATIONS
GLOSSARY
REFERENCES
Understanding the Affordances of Expert Systems in Improving the Competitiveness of South African Insurance SMEs
Stevens P. Mamorobela1,*
INTRODUCTION AND BACKGROUND
RESEARCH PROBLEM
PURPOSE AND OBJECTIVES
LITERATURE REVIEW
CONCEPTUAL MODEL
Knowledge Development and Utilisation
SME Competencies
Expert System Characteristics
RESEARCH METHODOLOGY
Research Setting
Quantitative Phase
Qualitative Phase
FINDINGS AND DISCUSSION
FINDINGS OF THE QUANTITATIVE PHASE
FINDINGS OF THE QUALITATIVE PHASE
LIMITATIONS AND FUTURE RESEARCH DIRECTION
CONCLUSION
GLOSSARY
REFERENCES
Factors Affecting the Adoption of Data as a Service (DaaS) in Small, Medium, and Micro Enterprises (SMMEs)
Megan Morta1 and Osden Jokonya1,*
INTRODUCTION
LITERATURE REVIEW
Big Data Adoption by SMMEs
Data as a Service (DaaS)
Theoretical Frameworks
Technology Context
Organizational Context
Environment Context
RESEARCH METHODOLOGY
Research Instrument
Data Sources and Sampling.
Research Method and Data Analysis
RESEARCH RESULTS
Demographic Data
Articles Published by Year
Articles by Region
Articles by Research Method
Articles by Research Type
Articles by Framework
TOE Factors
Technological Factors
Organizational Factors
Environmental Factors
DISCUSSION AND CONCLUSION
GLOSSARY
REFERENCES
Factors Affecting the Adoption of Emerging Technologies to Reduce Food Waste by SMEs in the Food Industry
Talent Muzondo1 and Osden Jokonya1,*
INTRODUCTION
LITERATURE REVIEW
Food Waste in Food Industry
Related Studies
TOE Framework
Technological Factors
Organizational Factors
Environmental Factors
Theoretical Framework
RESEARCH METHODOLOGY
Instrument Development
Data Sources and Sampling
Research Methods
Data Analysis
STUDY RESULTS
Articles Published by Year
Articles by Region
Articles by Research Method
Articles by Research Type
Articles by Framework
Technological Factors
Organizational Factors
Environmental Factors
Analysis of Variance (ANOVA) of TOE Construct Variables vs. Demographic Variable
Technological Factors by Region
Organizational Factors by Region
Environmental Factors by Region
Correlation Between TOE Factors
DISCUSSION AND CONCLUSION
GLOSSARY
REFERENCES
Subject Index.