Digital Transformation in Education and Artificial Intelligence: Emerging Markets and Opportunities aims to shed light on the various advantages and drawbacks of the same along with the opportunities and markets that are emerging because of digital transformation.
This volume encompasses diverse perspectives on the digital landscape for Small and Medium Enterprises (SMEs). It delves into the use of digital tools like Big Data, IoT, AI, and ML in Chapter 1, followed by an exploration of factors influencing online shopping adoption in SMEs in Ghana (Chapter 2). Chapter 3 sheds light on the digital transformation of African SMEs, while Chapter 4 offers insights into the consequences of digitalization for SMEs in Sub-Saharan Africa. The subsequent chapters cover topics such as the impact of Big Data on SMEs' performance, digitization initiatives for African telecom service providers, the role of social media as a promotional tool for SMEs in Ghana, and the utilization of Artificial Intelligence by SMEs in Africa, addressing both benefits and challenges.
The chapters provide information for educators at all levels to obtain a complete understanding of the technology-based environment that impacts teaching and commerce. It also serves as a resource for policymakers, entrepreneurs, researchers, and students interested in digital transformation in Africa.
This volume encompasses diverse perspectives on the digital landscape for Small and Medium Enterprises (SMEs). It delves into the use of digital tools like Big Data, IoT, AI, and ML in Chapter 1, followed by an exploration of factors influencing online shopping adoption in SMEs in Ghana (Chapter 2). Chapter 3 sheds light on the digital transformation of African SMEs, while Chapter 4 offers insights into the consequences of digitalization for SMEs in Sub-Saharan Africa. The subsequent chapters cover topics such as the impact of Big Data on SMEs' performance, digitization initiatives for African telecom service providers, the role of social media as a promotional tool for SMEs in Ghana, and the utilization of Artificial Intelligence by SMEs in Africa, addressing both benefits and challenges.
The chapters provide information for educators at all levels to obtain a complete understanding of the technology-based environment that impacts teaching and commerce. It also serves as a resource for policymakers, entrepreneurs, researchers, and students interested in digital transformation in Africa.
Table of Contents
Chapter 1 Digital Tools (Big Data, Iot, Ai, Ml, Etc.) for Smes- Ashmond Adu-Ansere and Victus Elikplim Lumorvie
- Introduction
- Small and Medium-Scale Enterprises (Smes)
- Small and Medium-Scale Enterprises in Africa
- Digital Tools for Smes
- Big Data
- About Big Data
- Big Data Analytics
- Acquisition and Recording of Data
- Information Extraction/Cleaning/Annotation
- Data Integration, Aggregation, and Representation
- Analysis/Modeling
- Interpretation
- Big Data Techniques
- Statistics
- Data Mining
- Machine Learning
- Optimization Methods
- Social Network Analysis (Sna)
- Visualization
- Influence of Big Data on Smes
- Lack of It Infrastructure
- Data Security Issues
- Financial Constraints/Economic
- Unskilled Staff
- Internet of Things (Iot)
- Perception Layer
- Network Layer
- Application (Service) Layer
- Intrusion Detection in Iot
- Iot for Smes
- Stages Involved in Executing IoT Projects in Smes
- Artificial Intelligence (Ai), Machine Learning (Ml), and Deep
- Learning (Dl)
- Artificial Intelligence and Machine Learning for Smes
- Conclusion
- References
- Mohammed Majeed, Asare Charles, Yomboi Jonas, Nana Arko-Cole and Ahmed Tijani
- Introduction
- Main Objective
- Specific Objectives
- Significance of the Study
- Literature Review
- Small and Medium Enterprises
- Factors for Online Shopping Adoption
- Usefulness
- Ease of Use
- Convenience
- Perceived Risk
- Online Shopping Intention
- Overview of E-Commerce in Ghana
- Smes and E-Commerce
- Theory
- Tam Model
- Conceptual Framework
- Ease of Use and Osi
- Usefulness and Osi
- Convenience and Osi
- Risk and Osi
- Methodology
- Research Design
- Population and Sample Size
- Data Collection Technique
- Instrument of Data Collection
- Data Analysis
- Measures
- Demographic Data
- Independent Variable
- Dependent Variable
- Data Analysis and Results
- Demographic Data
- Reliability and Validity
- Convergent Validity
- Discriminant Validity
- Summary of Findings
- Conclusion
- Implication of the Study
- Future Research
- References
- Introduction
- Literature Review
- Small and Medium Enterprises (Smes)
- Digital Transformation
- The Dimensions of Digital Transformation
- Digital Technologies
- User Experience
- Digital Transformation Tools Smes Use
- Effect of Dt on Smes
- Discussion
- Conclusion
- References
- Jayadatta S. And Mohammed Majeed
- Introduction
- Digital Spillovers
- Digitalization in Sub Saharan Africa: Regional Economic Outlook, April 2020
- Conclusion
- References
- Mohammed Majeed
- Introduction
- Contributions of the Chapter
- Literature
- Big Data
- Types of Big Data
- Semistructured Data
- Structured Data
- Unstructured Data
- Effect of Big Data on Smes Performance
- Implications
- Conclusion
- Recommendation for Action
- Case of Mybank in China
- References
- Sophia Jonathan Machemba and Parag Shukla
- Introduction
- Literature Review
- The Context of the African Telecom Industry
- Major Telecom Operators in Africa
- Concept of Digital Transformation
- Wing Eyes African Telecom Service Operators Must Look For
- Challenges of African Telecom Operators Toward Digital Transformation Discussion
- Digital Initiative Toward the African Telecom Sector
- Changes That Digitization Brings to the African
- Telecommunication Sector
- Conclusion
- References
- Kobby Mensah, Stephen Mahama Braimah, Awini Gideon and Zakari Bukari
- Introduction
- Literature Methodology
- Concept and Definitions of Social Media
- Traditional Media and Digital Media
- Media Channels
- Social Media Advertising
- Social Media Content
- Small and Medium Enterprises (Smes) and Social Media Usage
- Theoretical Background
- Uses and Gratification Theory
- Uses and Gratification and Social Media
- Theoretical Framework
- Conceptual Framework
- Methodology
- Empirical Context
- Data Collection Techniques
- Data Analysis
- Results and Findings
- What is Your Understanding of Social Media Content and Its Relevance to Smes?
- How Do You Utilize Social Media Content in Marketing Your Firm and How Does Social
- Media Content Influence the Choice of Your Products?
- How Can You Leverage on Social Media to Promote or Market Your Product or Services?
- Do You Benefit Using Social Media to Promote Your Product/Services?
- What Are Some of the Challenges of Social Media Advertising?
- How Does the Challenges of Social Media Advertisement Affect Your Firm?
- In Your Opinion What Are Some of Solutions to Curb These Challenges?
- Discussion and Findings
- Conclusion
- Recommendation
- Limitation and Future Research
- Future Studies
- References
- Alhassan Fatawu, Abas S. Stanley C. And Susana A.
- Introduction
- Literature Review
- Ai
- Ai and Smes
- Ai in Africa
- Components of Ai
- Automation
- Machine Learning
- Chatbots
- Deep Learning
- Neural Network
- Computer Vision
- Robots in Ai
- Fuzzy Logic
Author
- Mohammed Majeed
- Abdul-Razak Abubakari
- Awini Gideon
- Jayadatta S.
