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Prelims

Management and Information Technology in the Digital Era

ISBN: 978-1-80382-296-9, eISBN: 978-1-80382-295-2

ISSN: 1877-6361

Publication date: 30 September 2022

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Citation

(2022), "Prelims", Chemma, N., El Amine Abdelli, M., Awasthi, A. and Mogaji, E. (Ed.) Management and Information Technology in the Digital Era (Advanced Series in Management, Vol. 29), Emerald Publishing Limited, Leeds, pp. i-xix. https://doi.org/10.1108/S1877-636120220000029015

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Emerald Publishing Limited

Copyright © 2022 Nawal Chemma, Mohammed El Amine Abdelli, Anjali Awasthi and Emmanuel Mogaji. Published under exclusive licence by Emerald Publishing Limited

Half Title Page

Management and Information Technology in the Digital Era

Series Title Page

Advanced Series in Management

Series Editors: Miguel R. Olivas-Lujan and Tanya Bondarouk

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Title Page

Advanced Series in Management Volume 29

Management and Information Technology in the Digital Era: Challenges and Perspectives

Edited by

Nawal Chemma

University of Relizane, Algeria

Mohammed El Amine Abdelli

University of Western Brittany, France

Anjali Awasthi

Concordia University, Canada

And

Emmanuel Mogaji

University of Greenwich, UK

United Kingdom – North America – Japan India – Malaysia – China

Copyright Page

Emerald Publishing Limited

Howard House, Wagon Lane, Bingley BD16 1WA, UK

First edition 2022

Editorial matter and selection © 2022 Nawal Chemma, Mohammed El Amine Abdelli, Anjali Awasthi and Emmanuel Mogaji.

Individual chapters © 2022 The authors.

Published under exclusive licence by Emerald Publishing Limited.

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British Library Cataloguing in Publication Data

A catalogue record for this book is available from the British Library

ISBN: 978-1-80382-296-9 (Print)

ISBN: 978-1-80382-295-2 (Online)

ISBN: 978-1-80382-297-6 (Epub)

ISSN: 1877-6361 (Series)

List of Tables and Figures

Theme 2
Table 5.1. Table of Hypothesis.
Table 7.1. Twitter Account of the Selected Banks.
Table 8.1. Profile of Respondents.
Table 8.2. Description of Used Variables.
Table 8.3. Frequency of Binary Variables.
Table 8.4. Resilience's Descriptive Statistics for Each Level of the Exogenous Variables.
Table 8.5. Spearman Correlations Matrix.
Table 8.6. Analysis of Variance Results.
Table 8.7. The Model Derived Estimations of the Different Levels of the Factors in the Model.
Table 9.1. E-Commerce Sales: Top 10 Countries, 2017.
Table 9.2. Statistics on the State of Technology in Algeria, 2020.
Table 9.3. ITU's ICT Development Index.
Table 9.4. E-Government Development Index.
Table 9.5. Huawei Global Connectivity Index.
Table 9.6. B2C E-Commerce Index (UNCTAD).
Table 9.7. The Global Innovation Index (World Intellectual Property Organization).
Table 9.8. Sustainable Development Goal Index.
Theme 3
Table 11.1. Sustainability Measurement.
Table 12.1. Variables Dependent on the Research Model.
Table 12.2. Independent Variables of the Research Model.
Table 12.3. Reliability of the Measuring Instrument.
Table 12.4. Summary of the Models Proposed by the Step-by-Step Method (CC)
Table 12.5. Summary of the Models Proposed by the Step-by-Step Method (CA).
Table 12.6. Summary of the Models Proposed by the Step-by-Step Method (CA).
Table 12.7. Summary of the Models Proposed by the Step-by-Step Method (CA).
Table 13.1. Challenges of Digital Transformation and Key Steps.
Theme 1
Figure 2.1. Inclusion of AI and Gamification in the Emerging Markets.
Figure 3.1. Challenges of AI Implementation in Education in Africa.
Figure 3.2. Conceptual Framework for AI Implementation in Africa.
Figure 4.1. Structure of Intelligent Clothing Ecosystem.
Figure 4.2. Human-Computer Interactive Customer Trust Model.
Figure 4.3. Objective Function Result (a: Objective function curve of order 1; b: Objective function curve of order 2).
Figure 4.4. Optimal Scheduling Scheme.
Figure 4.5. Assignment Results of Human-Computer Interactive Customer Trust Model (t: acceptable value).
Theme 2
Figure 6.1. Conceptual Framework for Developing and Adopting Information Technology for Enhancing Transportation in Developing Countries.
Figure 7.1. Summary of Findings.
Figure 8.1. Distribution of the Resilience Variable.
Figure 8.2. Resilience Distributions for Two Categories of Digital Technology Use.
Figure 8.3. Resilience Means at Each Level of the Variables Digital and Size.
Figure 8.4. Resilience's Marginal Effects.
Theme 3
Figure 10.1. Seven Pillars of Sustainability (7PS) Model.
Figure 10.2. 7PS and 3D SocioEcoEnvironmental Models on SMEs Growth.
Figure 10.3. Economic Risks in the World Beyond COVID-19.
Figure 10.4. Developing New Business Models and Design of Smart Application Result of the IoE-EQ Project (IoE-EQ, 2020).
Figure 10.5. Lack of Technical Skills/Competencies and Security Concerns Result of the IoE-EQ Project (IoE-EQ, 2020).
Figure 10.6. 5N.BG.7PS Model.
Figure 10.7. Key Questions for Digitalized Business Plannings.
Figure 10.8. Strategic Workforce Planning: Focus is on Clusters of Staff and Tomorrow (20).
Figure 10.9. Business Architecture (20).
Figure 10.10. Human Resource Development – The Five Rights (20).
Figure 10.11. KTB Model.
Figure 10.12. Human Resource Assessment (20).
Figure 10.13. Six Dimensions That Form the Basis of I4.0 (20).
Figure 10.14. I4.0 – Readiness Check (20).
Figure 10.15. The Fifth Wave/Tomorrow Age Theory and Evaluation of Ages.
Figure 10.16. Smart SMEs in Industry 4.0 and SME 4.0.
Figure 10.17. SMEs' Business Models and SME 4.0.
Figure 10.18. Connected Participants and Capabilities in a Smart Manufacturing Ecosystem.
Figure 10.19. Towards Sustainable, Innovative, Smart and Inclusive SMEs 5.0.
Figure 11.1. Digitalisation Dimensions and Digitisation Index by Industry.
Figure 11.2. Aspects of Livability (Doost, 2017).
Figure 11.3. Research Project FHM-NZBA: The Entrepreneurial Sustainability Compass Criteria.
Figure 11.4. The 5th Wave/Tomorrow Age Theory or Theory of Comprehensive Everything.
Figure 11.5. A Comprehensive View of the Societies and Industries of the 5th Wave Theory.
Figure 11.6. Histomap of 5th Wave/Tomorrow Age Theory (Doost, 2010–2017).
Figure 11.7. Tomorrow's Crises Waves at the Edge of Tomorrow.
Figure 11.8. Tomorrow's Crises Chain at the Edge of Tomorrow.
Figure 11.9. Knowledge, Technology, Business (KTB) model (Doost, 2010–2017).
Figure 11.10. i-Sustainability Plus Theory.
Figure 11.11. Relation among Quality of Liveability and Life and Seven Pillars of Sustainability.
Figure 11.12. 7PS Pattern Model.
Figure 11.13. 3D Socio-Eco-Environment SMEs Model.
Figure 11.14. 3D Socio-Eco-Environment SMEs Indexes Model.
Figure 11.15. Hybrid SMEs/SME 5.0/Tomorrow's SMEs.
Figure 11.16. Hybrid SMEs/SMEs 5.0 are/have 14 Points.
Figure 11.17. IoB Development.
Figure 11.18. Modern SME and IoE-Education Cycle.
Figure 11.19. DCT (Doost Cultural Theory).
Figure 11.20. Synchronised Development (20).
Figure 11.21. Human Resource Planning (20).
Figure 11.22. Digital Transformation Requires a Cultural Change (20).
Figure 11.23. Important Adoption Factors (Made Initially for AR/VR/XR-Technology Adoption).
Figure 12.1. Relationship Between Culture and Cooperation in a Cluster.
Figure 13.1. Elements of Digital Transformation.
Figure 13.2. Challenges of Digital Transformation.

About the Editors

Nawal Chemma is an Associate Professor of Economics at the University of Relizane, Algeria, and the Director of ‘laboratory of financial markets management by the application of mathematics and computer science-GMFAMI’.

Mohammed El Amine Abdelli is a Researcher at the University of Western Brittany and the Technical University of Cartagena and Member at Western Economics and Management Laboratory LEGO and Visiting Researcher at the University of Salamanca, Spain.

Anjali Awasthi is Full Professor and Concordia University Research Chair (Tier-II) in Connected Sustainable Mobility Systems at Concordia Institute for Information Systems Engineering (CIISE), in Concordia University, Montreal, Canada.

Emmanuel Mogaji is a Senior Lecturer in Advertising and Marketing Communications at the University of Greenwich, and a Fellow of the Higher Education Academy (HEA).

List of Contributors

Raphael Amponsah Ghana Institute of Management and Public Administration, Accra
Adouane Asma Higher School of Commerce, Algeria
Imen Baccouche University of Tunis El Manar, Tunisia
Saadia Benahmed University of Relizane, Algeria
Hosn el Woujoud Bousselmi University Tunis Carthage, Tunisia
Joseph Budu Ghana Institute of Management and Public Administration, Accra
Lorena Caridad y López del Río University of Cordoba, Spain
Luigi Pio Leonardo Cavaliere University of Foggia, Foggia, Italy
Samuel Nii Odoi Devine Presbyterian University College, Okwahu Abetifi
Esra Sipahi Döngül Aksaray University, Turkey
Sulemana Bankuoru Egala SDD University of Business and Integrated Development Studies (UBIDS), Ghana
Abu Bakar Abdul Hamid University Putra Malaysia, Malaysia
Aboubakr Hansal University of Relizane, Algeria
Varsha Jain MICA, India
Afef Khalil Carthage Business School, University of Tunis Carthage, Tunisia
Emmanuel Awuni Kolog University of Ghana, Accra
Benmanseur Lamis Higher School of Commerce, Algeria
Hamid Doost Mohammadian University of Applied Sciences (FHM), Germany
Houssem Edine Nasr Carthage Business School, University of Tunis Carthage, Tunisia
Nguyen Phong Nguyen University of Economics Ho Chi Minh City, Vietnam
Lachi Oualid University of Adrar, Algeria
Mohsin Raza Phuket Rajabhat University, Thailand
Gourav Roy MICA, India
Bechir Sabiha Centre de Recherche en Technologie Agro-alimentaire (CRTAA), Algeria
Anusara Sawangchai Rajabhat University, Thailand
Chanyanan Somtawinpongsai Rajapark Institute, Thailand

Foreword

Information technology management facilitates the interaction of intervening actors, improves human resource management procedures and applies new pedagogical models for continuous and distance learning. The growth prospects of artificial intelligence and how it is revolutionising different sectors further present critical challenges for managers on how to harness the opportunities of this technology for their business prospects. Managers need to understand how technology is changing their business operations and the emergence of digital consumers who demand more innovative, technologically driven experiences. In addition, technological considerations are addressed, with topics such as selecting digital tools for developing and exploiting the new trends and applying artificial intelligence technology in the business and management industry. The edited book of these dimensions helps various actors to propose creative and innovative solutions for digital technologies that allow enterprises and organisations to draw positive paths for the future community, allowing for a better discussion and understanding of the issues and challenges created by contemporary society.

This book has presented different chapters, highlighting management and practical implications across other technology, sector and countries. In addition, the chapters provide a wide of reflections on the challenges and perspectives of management and information technology in the digital era.

Preface

Our book highlights the importance of management and information technology in the digital era. The book offers a theoretical and empirical framework in the field of digitalisation. The readers will find the chapters in this book both enriching and thought-provoking. The insights provided in the collection of research materials will enhance the understanding in this area, inspire further interest in management and information technology in the digital era and provide a basis for sound management decisions and stimulate new ideas for future research. This book offers a modern insight for researchers, students, professionals and decision-makers on the application of digitalisation in the Management area.

Prelims
Management and Information Technology in the Digital Era: Introduction to Edited Collection on Challenges and Perspectives
Theme 1 Artificial Intelligence
Role of Artificial Intelligence in Gamification for the Emerging Markets
Rethinking the Implementation of Artificial Intelligence for a Sustainable Education in Africa: Challenges and Solutions
Strategic Management of Platform Business Ecosystem Using Artificial Intelligence Supported Human-Computer Interaction Technology
Theme 2 Information Technology
Impact of Brand Experience, Narcissism and Materialism on Luxury Purchase Behaviour Mediated by Online Buying Intentions
Information Technology for Enhancing Transportation in Developing Countries
Redefining Banking Service Delivery: Information Technology Adoption by UK Banks Amid the COVID-19 Pandemic
The Impact of Digital Technologies on SMEs' Resilience During the COVID-19 Pandemic
Analysis of the Effects of Digital Technology on the Algerian Economy
Theme 3 Technology-Driven Business Operations
Mapping the Future SMEs' HR Competencies via IoE Technologies and 7PS Model Through the Fifth Wave Theory
Mapping the Future Global SMEs Growth via Hybrid SMEs/SME 5.0/Tomorrow's SMEs Concept through the 5th Wave, i-Sustainability Plus and DCT Theories
The Impact of Individualism and Collectivism on the Diffusion of ICT in a Craft Cluster: The Case of the Brassware Cluster of Constantine and the Jewellery Cluster of Batna
The Biggest Digital Transformation Challenges for Companies: An Analysis Framework
Management and Information Technology in the Digital Era: Conclusion and Research Agenda
Index
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