Editors: Ignitia Motjolopane, Ephias Ruhode, Pius Adewale Owolawi

Business Models and Innovative Technologies for SMEs

eBook: US $39 Special Offer (PDF + Printed Copy): US $68
Printed Copy: US $49
Library License: US $156
ISBN: 978-981-5196-72-6 (Print)
ISBN: 978-981-5196-71-9 (Online)
Year of Publication: 2023
DOI: 10.2174/97898151967191230101

Introduction

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.

Contributors

Editor(s):
Ignitia Motjolopane
Information Systems Department
North-West University, Mahikeng Campus,
South Africa


Ephias Ruhode
School of Business & Creative Industries
University of the West of Scotland
Glasgow,
United Kingdom


Pius Adewale Owolawi
Faculty of Information and Communication Technology
Tshwane University of Technology
Pretoria,
South Africa




Contributor(s):
Colin Thakur
Durban University of Technology
Berea
South Africa


Cecil Kgotiane
Department of Informatics, Faculty of ICT
Tshwane University of Technology
Pretoria
South Africa


Errol Francke
Department of Information Technology
Faculty of Informatics and Design, Cape Peninsula University of Technology
Cape Town
South Africa


Megan Morta
Department of Information Systems
Faculty of Economics and Management Sciences, University of the Western Cape
Cape Town
South Africa


Osden Jokonya
Department of Information Systems
Faculty of Economics and Management Sciences, University of the Western Cape
Cape Town
South Africa


Sudhika Palhad
Durban University of Technology
Berea
South Africa


Stevens P. Mamorobela
Department of Informatics, Faculty of ICT
Tshwane University of Technology
Pretoria
South Africa


Tlou Maggie Masenya
Durban University of Technology
Berea
South Africa


Talent Muzondo
Department of Information Systems
Faculty of Economics and Management Sciences, University of the Western Cape
Cape Town
South Africa


Zoran Mitrovic
Durban University of Technology
Berea
South Africa