Mkansi / Akenroye / Mugurusi | Green Innovations in Supply Chain Management | Buch | 978-1-394-28900-4 | www.sack.de

Buch, Englisch, 416 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 721 g

Mkansi / Akenroye / Mugurusi

Green Innovations in Supply Chain Management


1. Auflage 2025
ISBN: 978-1-394-28900-4
Verlag: John Wiley & Sons

Buch, Englisch, 416 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 721 g

ISBN: 978-1-394-28900-4
Verlag: John Wiley & Sons


An incisive discussion of the applications of digital technology to sustainable supply chain management

In Green Innovations in Supply Chain Management, a team of distinguished researchers deliver an up-to-date and authoritative account of contemporary green technology applications in supply chain management. This book discusses digital technologies that address longstanding development and supply chain challenges associated with sustainability.

Split into five sections – green tech logistics, sustainable packaging, sustainable harvesting, e-waste, and green investments – Green Innovations in Supply Chain Management dives into robotics, mobile applications, sustainability packaging initiatives, sustainable seafood sourcing, green health initiatives, business case studies, and other green investments critical to management of modern supply chains.

Readers will also find: - A thorough introduction to green innovations in practice
- Comprehensive explorations of continental and regional case studies
- Practical discussions of green investments

Perfect for supply chain management professionals and policymakers with an interest in the field, Green Innovations in Supply Chain Management will also benefit students and researchers of green and sustainable technology, renewable energy, and a wide variety of engineering specialties.

Mkansi / Akenroye / Mugurusi Green Innovations in Supply Chain Management jetzt bestellen!

Weitere Infos & Material


List of Contributors xv

About the Editors xix

Preface xxi

1 Introduction: Green Innovations in the Supply Chain Management: Cases and Applications 1
Marcia Mkansi, Godfrey Mugurusi, Aaron L. Nsakanda, Temidayo Akenroye, and Frank Tietze

1.1 Motivation 1

1.2 Overview of Chapters and Cases 3

1.2.1 Chapter 2: Robotics and Applications in Canada and the United States 3

1.2.2 Chapter 3: Crowd Logistics Applications in Uganda 4

1.2.3 Chapter 4: Dilivari Crowd Logistics in South Africa 4

1.2.4 Chapter 5: Amitruck Logistics Platform in East Africa 5

1.2.5 Chapter 6: Carbon Tracker Innovation 6

1.2.6 Chapter 7: The Case of Eco.mio Innovation in Germany 6

1.2.7 Chapter 8: UNIDO Indonesian Global Quality Standards Program 7

1.2.8 Chapter 9: E- waste Innovation in Africa 8

1.2.9 Chapter 10: Waste- to- Energy and Environmental Protection (WEEP) Initiative 9

1.2.10 Chapter 11: Planet Points (Plan3T) for Sustainable Lifestyle in Denmark and Germany 9

1.2.11 Chapter 12: Retail Sustainability Initiatives in South Africa 10

1.2.12 Chapter 13: Blockchain Technology Diffusion 12

1.2.13 Chapter 14: Green Investment 12

1.2.14 Chapter 15: Green Tech in Healthcare Supply Chain 13

1.3 Conclusion and Value Proposition 13

References 14

2 Sustainable Last- Mile Delivery with Autonomous Robots 17
Mika Westerlund and Arushi Sharma

2.1 Introduction 17

2.2 The State of the Art: Introduction of ADRs for Last- Mile Delivery 18

2.3 Case Examples 19

2.3.1 Case 1: Domino’s Pizza Delivery 19

2.3.2 Case 2: Amazon’s Parcel Delivery 20

2.3.3 Case 3: Co- op’s Grocery Delivery 20

2.3.4 Case 4: Uber Eats’ Food Delivery 21

2.4 The Impact and Challenges of ADRs as a Delivery Innovation 21

2.4.1 Challenges of ADRs for Last- Mile Delivery 23

2.5 Method 24

2.6 The Learning Outcomes 26

2.6.1 RQ1: What Are the Main Themes in Consumers’ Sustainability Perceptions of ADRs? 26

2.6.2 RQ2: How Can Companies Address These Themes in Their Robotic Delivery Service Models? 27

2.6.2.1 Enforcing Positive Themes 27

2.6.2.2 Mitigating Negative Themes 28

2.7 Plans to Further Develop the Initiative 29

References 30

3 Assessing the Impact of an App- Based Scheduling Platform on the Overall CO 2 Emissions and Travel Time of Minibus Taxis in Four Cities (Municipalities) in Uganda 33
Gabriel Okello, Vianney Tumwesige, Derrick Joseph Njuba, Richard Nelson Sserunjogi, and Tom Courtright

3.1 Introduction 33

3.2 Literature Review: Uganda’s Urban Transport and Technological Advances 35

3.3 Materials and Methods 36

3.3.1 Study Design and Setting 36

3.3.2 Data Collection 37

3.3.2.1 Identifying the Routes 37

3.3.3 Sample Size 38

3.3.3.1 Transit Data Collection 38

3.4 Data Analysis 40

3.5 Results 42

3.5.1 Difference in CO 2 Emissions Between Matatus Using the EM App and Those Not Using the App 42

3.5.2 Stoppages Along the Travel Route for Matatus Using the EM App and Those Not Using the EM App 42

3.5.3 Commute Time Between Matatus Using the EM App and Those Not Using the EM App 43

3.5.4 Fuel Savings Due to Reduced Stoppages Along the Route 44

3.6 Discussion 45

3.6.1 Strengths and Limitations 45

3.7 Conclusion and Recommendations 46

Funding 46

Declaration of Competing Interest 46

References 47

4 Mobile Application- Enabled Logistics Crowdsourcing and the Triple Bottom Line in South Africa’s E- Grocery Industry 51
Marcia Mkansi, Aaron L. Nsakanda, Godfrey Mugurusi, and Masilela Phumlani

4.1 Introduction 51

4.2 Literature Review 53

4.2.1 Digitally Enabled Crowdsourcing Delivery Models and the Triple Bottom Line 53

4.2.2 Analytical Research on Crowdsourcing Last- Mile Delivery: Simulation Modeling 56

4.3 Research Methodology 58

4.3.1 Prototype Development Using a Design Science Approach 58

4.3.2 Qualitative Pilot Study and Data Collection 60

4.3.3 Quantitative Case Study and Simulation Analysis 60

4.4 Implementation and Results 62

4.4.1 Insights from User Interviews and Social Impact Assessment 62

4.4.2 Environmental and Economic Impact Comparison 64

4.4.3 Findings and Discussion 66

4.5 Conclusions and Future Directions 68

References 68

5 Exploring the Use of Crowdsourcing Platform Truck Transport in the Specialized Sectors in Kenya: The Case of Amitruck Application 73
John Michael Maxel Okoche and Wellington Chakuzira

5.1 Introduction 73

5.1.1 An Overview of Amitruck Application in the Kenyan Logistics Market 74

5.1.2 Application of Crowdsourcing Platforms 76

5.2 Research Methods 79

5.2.1 Sample and Data Collection 81

5.2.2 Data Analysis 81

5.3 Results 84

5.4 Discussion 91

5.4.1 Agriculture 91

5.4.2 Waste Management 92

5.4.3 Manufacturing 93

5.4.4 Construction Industry 94

5.4.5 Energy Industry 94

5.5 Implications 95

5.5.1 Practical Contribution 95

5.5.2 Theoretical Contribution 96

References 97

6 A Multilevel Analysis of Carbon Emission Tracking Technology Adoption in South Africa 105
John Michael Maxel Okoche and Marcia Mkansi

6.1 Introduction 105

6.2 Literature Review 107

6.2.1 Technology Acceptance Model 108

6.2.1.1 Perceived Usefulness 109

6.2.1.2 Perceived Ease of Use 110

6.2.1.3 Self- Efficacy 110

6.2.1.4 Personal Innovativeness 111

6.2.1.5 Perceived Risks 111

6.3 Methods 112

6.3.1 The Case Study 112

6.3.2 Research Design 113

6.3.3 Sample and Data Collection 115

6.3.4 Analysis 116

6.4 Results 117

6.5 Discussion 125

6.5.1 The Influence of Perceived Usefulness on the Absorption of the New Carbon Emission Technology 125

6.5.2 The Influence of the Perceived Ease of Use on the New Carbon Emission Technologies 125

6.5.3 Influence of Self- Efficacy in the Absorption of the New Carbon Emission Technology 126

6.5.4 Personal Innovation and Absorption of New Carbon Emissions in South Africa 126

6.5.5 Perceive Privacy and Security Risks Influence on the Absorption of the New Carbon Emission Technology 127

6.5.6 Organizational Considerations and the New Carbon Emission Technology Application 128

6.6 Implications 129

6.6.1 Theoretical Implications 129

6.6.2 Practical Implications 130

References 130

7 Toward Sustainable Business Travel: A Case of eco.mio Software Solution 139
Marcia Mkansi, Frank Ranganai Matenda, and Ntwanano Mboweni

7.1 Introduction 139

7.2 Methodology 144

7.3 Results 145

7.3.1 Challenges and Solutions 145

7.3.1.1 Challenges 145

7.3.1.2 Overcoming the Challenges 146

7.4 Impact of the Innovation 150

7.5 Business Model of the Organization 153

7.6 Learning Outcomes 154

7.7 Plans to Further Develop the Initiative 155

References 156

8 Greening the Seafood Supply Chain Through Circular Economy and Digital Transformation: A Case Study of the UNIDO Indonesian Global Quality and Standards Program 159
Ita Sualia, Eko Ruddy Cahyadi, and Anthony Halog

8.1 Introduction 159

8.1.1 Background 159

8.1.2 Objective 160

8.2 State- of- the- Art Greening Seafood Supply Chains Concept 160

8.2.1 Green Supply Chain Management (GSCM) in the Seafood Supply Chains 160

8.2.2 Circular Economy in Seafood Supply Chains 162

8.2.3 Key Actors in Aquaculture- Based Seafood Supply Chains 163

8.2.4 Digital Transformation in Seafood Supply Chains 164

8.2.4.1 Automatic Fish Feeders 164

8.2.4.2 Automatic Water Quality Monitoring 165

8.3 The Case Study of Integrating GSCM and Digital Transformation in Aquaculture- Based Seafood Supply Chains 165

8.3.1 Method 166

8.3.1.1 Data Collection 166

8.3.1.2 Data Collection Methods 167

8.3.1.3 Data Analysis 168

8.3.2 Result and Discussion 169

8.3.2.1 Circular Economy: Least Cost Feed Formulation 169

8.3.2.2 Good Aquaculture Practices and Digital Technology Transformation 170

8.3.2.3 Digital Transformation: Automatic Feeders 173

8.3.2.4 Digital Transformation: Real- Time Water Quality Monitoring 173

8.4 The Learning Outcomes and Further Development 173

References 175

9 Business Model Innovation and Technological Advancement for Sustainable E- Waste Management: A Case Study of EWaste Africa in South Africa 179
Ernest Marfo Asiedu, Frank Ranganai Matenda, and Pravashen Naidoo

9.1 Introduction 179

9.2 Literature Review 182

9.2.1 Business Model Innovation for Sustainable E- Waste Management 182

9.2.2 Technology Advancement for Sustainable E- Waste Management 183

9.3 Methodology 184

9.4 Findings and Discussions 185

9.4.1 Business Model Innovation 185

9.4.1.1 Business Models and Growth 186

9.4.1.2 Stakeholder Engagement 188

9.4.2 Innovative Solutions and Technologies 190

9.4.2.1 Innovative Solutions by EWaste Africa 190

9.4.2.2 Strategies Employed by EWaste Africa 192

9.4.3 Addressing Challenges 193

9.4.3.1 Key Challenges That Are Addressed by EWaste Africa’s Operations 193

9.4.4 Key Challenges in Managing E- waste 195

9.4.5 Evaluating Impacts and Effectiveness 197

9.4.5.1 The Environmental, Economic, and Social Impacts of EWaste Africa’s Innovations 197

9.4.5.2 Assessing EWaste Africa’s Waste Management Effectiveness and Impacts 198

9.5 Discussions 199

9.6 Conclusion 203

References 203

10 A Sustainable Electronic Waste Recycling: A Case Study of Basadi E- Waste 209
Marcia Mkansi, Ernest Marfo Asiedu, and Frank Ranganai Matenda

10.1 Introduction 209

10.2 Literature Review 211

10.2.1 The Growing Nature of E- Waste 211

10.2.2 Impediments to Sustainable E- Waste Management 212

10.2.3 Solutions and Future Directions in Sustainable E- Waste Management 213

10.3 Methodology 214

10.4 Findings 215

10.4.1 Motivations and Core Elements of Green Innovation 215

10.4.1.1 Green Innovation Motivations 215

10.4.1.2 Core Elements of Green Innovation 217

10.4.2 Practical Implementation of Green Innovation in E- Waste Recycling and Challenges Involved 218

10.4.2.1 Green Innovation Sustainable Practices 218

10.4.2.2 Scaling Green Innovation Challenges 220

10.4.2.3 Green Innovation Support Ecosystem 221

10.4.2.4 Green Innovation Sustainable Business Models 222

10.5 Discussions 223

10.6 Conclusion 225

References 227

11 Toward Sustainable Consumption: A Case of PLAN3T Application 231
Marcia Mkansi and Frank Ranganai Matenda

11.1 Introduction 231

11.2 Challenges 234

11.3 Overcoming the Challenges 235

11.4 Method 238

11.5 Impact of the Innovation 239

11.6 Business Model of the Organization 240

11.7 Learning Outcomes 241

11.8 Plans to Further Develop the Initiative 242

11.9 Conclusion 242

References 242

12 Green Initiatives of South Africa’s Leading Retailers: A Comparative Analysis of Sustainability Strategies 245
Elizma S. Bok and Leonie B. Louw

12.1 Introduction 245

12.1.1 Objectives, Significance, and Scope of the Innovation 246

12.1.2 Chapter Outline 247

12.1.3 Definition of Key Terms 247

12.2 The State of the Art 248

12.2.1 The Triple Bottom Line (TBL) Framework 249

12.2.2 The Circular Economy Model 250

12.2.3 Stakeholder Theory 250

12.2.4 Conclusion 251

12.3 The Case: Top JSE Listed Retailers in South Africa (Green Initiatives) 251

12.3.1 Methodology 251

12.3.2 Overview of Top Five South African Retailers 252

12.3.3 Green Initiatives 252

12.3.4 Comparative Analysis of Green Initiatives 253

12.4 Impact of Innovation 261

12.5 Learning Outcomes 262

12.6 Plans to Develop Further Initiatives 262

12.7 Conclusion 263

References 263

13 Exploring Blockchain Technology Diffusion in Supply Chain Management to Enhance Sustainability Performance: Insights from Egypt an Emerging Economy 271
Esraa Osama Zayed and Ehab A. Yaseen

13.1 Introduction 271

13.2 State of the Art 274

13.2.1 Blockchain Technology and Supply Chain Sustainability 274

13.2.2 Technology– Organization– Environment (TOE) Framework and Diffusion of Innovation (DoI) Theory 276

13.3 The Case 280

13.3.1 Data Collection 280

13.3.2 Data Analysis 282

13.3.3 Data Findings 283

13.3.3.1 Survey Findings 283

13.3.4 ISM Findings 286

13.4 Learning Outcomes 290

13.5 Plans to Further Develop the Initiative 292

A Appendix 1: Survey Items 293

A.1 Section 1: Technology– Organization– Environment Framework 293

A.2 Section 2: Diffusion of Innovation Theory Stages 294

References 295

14 A Guide to Securing Funding for Scaling Green Innovations in Africa 301
Aaron L. Nsakanda, Marcia Mkansi, Ernest Marfo Asiedu, and Frank Ranganai Matenda

14.1 Introduction 301

14.2 Literature Review 303

14.3 Methodology 305

14.3.1 Research Design and Approach 305

14.3.2 Case Descriptions 306

14.4 Findings 309

14.4.1 Case Analysis 309

14.4.1.1 Case 1 309

14.4.1.2 Case 2 315

14.4.1.3 Case 3 319

14.4.1.4 Case 4 323

14.4.1.5 Case 5 327

14.4.2 Cross- Case Analysis 332

14.5 Discussion 334

14.6 Conclusions 337

References 338

15 Green Innovations in African Health Supply Chains: Case Studies and Policy Implications 343
Julius Mugwagwa and Cynthia Siona Ndeh

15.1 Introduction 343

15.2 Green Innovations in Health Supply Chains: A Global Overview 345

15.2.1 Defining Green Innovations in Healthcare 346

15.2.2 Theoretical Frameworks for Green Innovation Adoption 347

15.2.3 Global Best Practices in Green Innovations for Healthcare Supply Chains 348

15.2.4 Challenges in Implementing Green Innovations in African Health Supply Chains 349

15.3 Case Studies of Green Innovations in African Health Supply Chains 349

15.3.1 E- Waste Management in Healthcare: The eWaste Africa Initiative 350

15.3.2 Solar- Powered Health Clinics in Rural Areas 350

15.3.3 Sustainable Logistics and Transportation for Health Supplies 351

15.3.4 Eco- friendly Packaging for Medical Supplies 352

15.3.5 Renewable Energy for Vaccine Refrigeration 352

15.4 Policy Implications for Green Innovations in African Health Supply Chains 353

15.4.1 E- Waste Management Policies 353

15.4.2 Renewable Energy Integration Policies 354

15.4.3 Sustainable Procurement and Green Logistics Policies 355

15.4.4 E- Waste Education and Capacity Building 355

15.4.5 Financing Green Innovations 356

15.5 Challenges and Barriers to Implementing Green Innovations in African Health Supply Chains 357

15.5.1 Financial Barriers 358

15.5.2 Technical Barriers 358

15.5.3 Institutional and Policy Challenges 359

15.5.4 Social and Cultural Barriers 360

15.5.5 Infrastructure Limitations 361

15.5.6 Successful Green Innovations in Health Supply Chains: Global Examples and Key Policy Lessons for Africa 361

15.6 Conclusion and Recommendations 362

15.6.1 Key Findings 364

15.6.2 Recommendations for Overcoming Barriers 365

15.6.3 Key Lessons from the COVID- 19 Pandemic for Green Health Supply Chains 366

15.6.4 Long- Term Vision for Green Health Supply Chains 367

References 368

Index 371


Marcia Mkansi, PhD, is the Head of Research, Post-Graduate Studies, Innovation, and Commercialisation, and Professor of Operations and Supply Chain Management, College of Economic & Management Sciences, University of South Africa.

Godfrey Mugurusi is an Associate Professor in Logistics and SCM, Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology, Norway.

Aaron L. Nsakanda is an Associate Professor in Supply Chain Management and Business Analytics, Sprott School of Business at Carleton University, Canada.

Temidayo Akenroye, PhD, is an Associate Professor, Supply Chain Management at the University of Missouri-St Louis, USA, Academic Advisor for the Kuehne Foundation, Germany, a Senior Visiting Fellow at Lagos Business School, Nigeria, and a member of the Peer Review College of the British Academy of Management.

Frank Tietze is Professor of Innovation Engineering at the University of Cambridge. He leads the Innovation and Intellectual Property Management Laboratory. He was President of the European Policy for Intellectual Property Association (2022-2023).



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