Business Models and Innovative Technologies for SMEs focuses on technologies such as data analytics, artificial intelligence and data as a service. As these technologies offer new possibilities, small and medium enterprises (SMEs) often struggle to grasp their full potential within evolving business landscapes. Five reviews discuss the potential of these technologies to drive SME growth. The book also highlights the need for a strategic approach to overcoming challenges faced by SMEs to create innovative business models such as limited resources, infrastructure hurdles, and financial limitations.
The chapters explore diverse facets of business model innovation, covering strategic models for mobile application development, the critical role of cybersecurity culture, readiness assessments, digital transformations leveraging artificial intelligence, expert systems' impact on competitiveness, and the adoption of data as services in SMEs. Each chapter is tailored to provide actionable insights drawn from theory and, where possible, real-life case studies, addressing questions related to technological benefits, innovative strategies, and challenges in implementing digital transformations for SMEs.
This book caters to a wide audience of academics, researchers, policymakers, and business practitioners deeply invested in SME development, offering practical solutions and theoretical frameworks. The combination of scholarly and practical approaches towards developing and implementing innovative strategies, makes it a valuable resource for readers seeking to understand and support SME growth.
The chapters explore diverse facets of business model innovation, covering strategic models for mobile application development, the critical role of cybersecurity culture, readiness assessments, digital transformations leveraging artificial intelligence, expert systems' impact on competitiveness, and the adoption of data as services in SMEs. Each chapter is tailored to provide actionable insights drawn from theory and, where possible, real-life case studies, addressing questions related to technological benefits, innovative strategies, and challenges in implementing digital transformations for SMEs.
This book caters to a wide audience of academics, researchers, policymakers, and business practitioners deeply invested in SME development, offering practical solutions and theoretical frameworks. The combination of scholarly and practical approaches towards developing and implementing innovative strategies, makes it a valuable resource for readers seeking to understand and support SME growth.
Readership
Academics, Entrepreneurs, Business consultants in the SME sector.Table of Contents
Chapter 1 Business Model Innovation for Mobile Application- Development for Smes in Response to Disruptive Innovation
- Errol Francke
- 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
- Transformation and Business Model Innovation in Smes
- Zoran Mitrovic, Colin Thakur and Sudhika Palhad
- 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
- Cecil Kgoetiane
- 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
- Business Model Innovations Based on Artificial Intelligence
- Tlou Maggie Masenya
- 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
- Improving the Competitiveness of South African Insurance Smes
- Stevens P. Mamorobela
- 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
- In Small, Medium, and Micro Enterprises (Smmes)
- Megan Morta and Osden Jokonya
- 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
- To Reduce Food Waste by Smes in the Food Industry
- Talent Muzondo and Osden Jokonya
- 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
Author
- Ignitia Motjolopane
- Ephias Ruhode
- Pius Adewale Owolawi
