Business models and innovative technologies for SMEs / edited by Ignitia Motjolopane, Ephias Ruhode, and Pius Adewale Owolawi.

Format:

Book

Author/Creator:

Motjolopane, Ignitia, Author.

Contributor:

Motjolopane, Ignitia, editor.

Ruhode, Ephias, editor.

Owolawi, Pius Adewale, editor.

Language:

English

Subjects (All):

Small business--Technological innovations.

Small business.

Physical Description:

1 online resource (166 pages)

Edition:

First edition.

Place of Publication:

Singapore : Bentham Science Publishers Pte. Ltd., [2023]

Summary:

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. Readership Academics, Entrepreneurs, Business consultants in the SME sector.

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

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

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

Assessing SMEs' Business Model Innovation Readiness

Cecil Kgoetiane1,*

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

Digital Transformation in SMEs: Developing Digital Business Model Innovations Based on Artificial Intelligence

Tlou Maggie Masenya1,*

PROBLEM STATEMENT

CONCEPTUAL FRAMEWORK

Value Proposition (Why?)

Operational Value (What?)

Human Capital (Who?)

Financial Value (How?)

Business Model Canvas

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

Understanding the Affordances of Expert Systems in Improving the Competitiveness of South African Insurance SMEs

Stevens P. Mamorobela1,*

INTRODUCTION AND BACKGROUND

PURPOSE AND OBJECTIVES

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

Factors Affecting the Adoption of Data as a Service (DaaS) in Small, Medium, and Micro Enterprises (SMMEs)

Megan Morta1 and Osden Jokonya1,*

Big Data Adoption by SMMEs

Data as a Service (DaaS)

Theoretical Frameworks

Technology Context

Organizational Context

Environment Context

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

Factors Affecting the Adoption of Emerging Technologies to Reduce Food Waste by SMEs in the Food Industry

Talent Muzondo1 and Osden Jokonya1,*

Food Waste in Food Industry

Related Studies

TOE Framework

Theoretical Framework

Instrument Development

Data Sources and Sampling

Research Methods

Data Analysis

STUDY RESULTS

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

Subject Index.

Notes:

Includes bibliographical references.

Description based on publisher supplied metadata and other sources.

Description based on print version record.

Other Format:

Print version: Motjolopane, Ignitia Business Models and Innovative Technologies for SMEs

ISBN:

9789815196719

9815196715

OCLC:

1416747003