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Green Innovations in Supply Chain Management
Case Studies and Applications
Marcia Mkansi (Edited by), Mkansi (Author), Godfrey Mugurusi (Edited by), Aaron L. Nsakanda (Edited by), Temidayo Akenroye (Edited by), Frank Tietze (Edited by)
9781394289004, Wiley
Hardback, published 17 December 2025
416 pages
28 x 19 x 2 cm, 0.826 kg
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: 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.
List of Contributors xv About the Editors xix Preface xxi 1 Introduction: Green Innovations in the Supply Chain Management: Cases and Applications 1 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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, Godfrey Mugurusi, Aaron L. Nsakanda, Temidayo Akenroye, and Frank Tietze
Mika Westerlund and Arushi Sharma
Gabriel Okello, Vianney Tumwesige, Derrick Joseph Njuba, Richard Nelson Sserunjogi, and Tom Courtright
Marcia Mkansi, Aaron L. Nsakanda, Godfrey Mugurusi, and Masilela Phumlani
John Michael Maxel Okoche and Wellington Chakuzira
John Michael Maxel Okoche and Marcia Mkansi
Marcia Mkansi, Frank Ranganai Matenda, and Ntwanano Mboweni
Ita Sualia, Eko Ruddy Cahyadi, and Anthony Halog
Ernest Marfo Asiedu, Frank Ranganai Matenda, and Pravashen Naidoo
Marcia Mkansi, Ernest Marfo Asiedu, and Frank Ranganai Matenda
Marcia Mkansi and Frank Ranganai Matenda
Elizma S. Bok and Leonie B. Louw
Esraa Osama Zayed and Ehab A. Yaseen
Aaron L. Nsakanda, Marcia Mkansi, Ernest Marfo Asiedu, and Frank Ranganai Matenda
Julius Mugwagwa and Cynthia Siona Ndeh
Subject Areas: Electronics & communications engineering [TJ]
