Green Innovations in Supply Chain Management

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).

• List of Contributors xvAbout the Editors xixPreface xxi1 Introduction: Green Innovations in the Supply Chain Management: Cases and Applications 1Marcia Mkansi, Godfrey Mugurusi, Aaron L. Nsakanda, Temidayo Akenroye, and Frank Tietze1.1 Motivation 11.2 Overview of Chapters and Cases 31.2.1 Chapter 2: Robotics and Applications in Canada and the United States 31.2.2 Chapter 3: Crowd Logistics Applications in Uganda 41.2.3 Chapter 4: Dilivari Crowd Logistics in South Africa 41.2.4 Chapter 5: Amitruck Logistics Platform in East Africa 51.2.5 Chapter 6: Carbon Tracker Innovation 61.2.6 Chapter 7: The Case of Eco.mio Innovation in Germany 61.2.7 Chapter 8: UNIDO Indonesian Global Quality Standards Program 71.2.8 Chapter 9: E- waste Innovation in Africa 81.2.9 Chapter 10: Waste- to- Energy and Environmental Protection (WEEP) Initiative 91.2.10 Chapter 11: Planet Points (Plan3T) for Sustainable Lifestyle in Denmark and Germany 91.2.11 Chapter 12: Retail Sustainability Initiatives in South Africa 101.2.12 Chapter 13: Blockchain Technology Diffusion 121.2.13 Chapter 14: Green Investment 121.2.14 Chapter 15: Green Tech in Healthcare Supply Chain 131.3 Conclusion and Value Proposition 13References 142 Sustainable Last- Mile Delivery with Autonomous Robots 17Mika Westerlund and Arushi Sharma2.1 Introduction 172.2 The State of the Art: Introduction of ADRs for Last- Mile Delivery 182.3 Case Examples 192.3.1 Case 1: Domino’s Pizza Delivery 192.3.2 Case 2: Amazon’s Parcel Delivery 202.3.3 Case 3: Co- op’s Grocery Delivery 202.3.4 Case 4: Uber Eats’ Food Delivery 212.4 The Impact and Challenges of ADRs as a Delivery Innovation 212.4.1 Challenges of ADRs for Last- Mile Delivery 232.5 Method 242.6 The Learning Outcomes 262.6.1 RQ1: What Are the Main Themes in Consumers’ Sustainability Perceptions of ADRs? 262.6.2 RQ2: How Can Companies Address These Themes in Their Robotic Delivery Service Models? 272.6.2.1 Enforcing Positive Themes 272.6.2.2 Mitigating Negative Themes 282.7 Plans to Further Develop the Initiative 29References 303 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 33Gabriel Okello, Vianney Tumwesige, Derrick Joseph Njuba, Richard Nelson Sserunjogi, and Tom Courtright3.1 Introduction 333.2 Literature Review: Uganda’s Urban Transport and Technological Advances 353.3 Materials and Methods 363.3.1 Study Design and Setting 363.3.2 Data Collection 373.3.2.1 Identifying the Routes 373.3.3 Sample Size 383.3.3.1 Transit Data Collection 383.4 Data Analysis 403.5 Results 423.5.1 Difference in CO 2 Emissions Between Matatus Using the EM App and Those Not Using the App 423.5.2 Stoppages Along the Travel Route for Matatus Using the EM App and Those Not Using the EM App 423.5.3 Commute Time Between Matatus Using the EM App and Those Not Using the EM App 433.5.4 Fuel Savings Due to Reduced Stoppages Along the Route 443.6 Discussion 453.6.1 Strengths and Limitations 453.7 Conclusion and Recommendations 46Funding 46Declaration of Competing Interest 46References 474 Mobile Application- Enabled Logistics Crowdsourcing and the Triple Bottom Line in South Africa’s E- Grocery Industry 51Marcia Mkansi, Aaron L. Nsakanda, Godfrey Mugurusi, and Masilela Phumlani4.1 Introduction 514.2 Literature Review 534.2.1 Digitally Enabled Crowdsourcing Delivery Models and the Triple Bottom Line 534.2.2 Analytical Research on Crowdsourcing Last- Mile Delivery: Simulation Modeling 564.3 Research Methodology 584.3.1 Prototype Development Using a Design Science Approach 584.3.2 Qualitative Pilot Study and Data Collection 604.3.3 Quantitative Case Study and Simulation Analysis 604.4 Implementation and Results 624.4.1 Insights from User Interviews and Social Impact Assessment 624.4.2 Environmental and Economic Impact Comparison 644.4.3 Findings and Discussion 664.5 Conclusions and Future Directions 68References 685 Exploring the Use of Crowdsourcing Platform Truck Transport in the Specialized Sectors in Kenya: The Case of Amitruck Application 73John Michael Maxel Okoche and Wellington Chakuzira5.1 Introduction 735.1.1 An Overview of Amitruck Application in the Kenyan Logistics Market 745.1.2 Application of Crowdsourcing Platforms 765.2 Research Methods 795.2.1 Sample and Data Collection 815.2.2 Data Analysis 815.3 Results 845.4 Discussion 915.4.1 Agriculture 915.4.2 Waste Management 925.4.3 Manufacturing 935.4.4 Construction Industry 945.4.5 Energy Industry 945.5 Implications 955.5.1 Practical Contribution 955.5.2 Theoretical Contribution 96References 976 A Multilevel Analysis of Carbon Emission Tracking Technology Adoption in South Africa 105John Michael Maxel Okoche and Marcia Mkansi6.1 Introduction 1056.2 Literature Review 1076.2.1 Technology Acceptance Model 1086.2.1.1 Perceived Usefulness 1096.2.1.2 Perceived Ease of Use 1106.2.1.3 Self- Efficacy 1106.2.1.4 Personal Innovativeness 1116.2.1.5 Perceived Risks 1116.3 Methods 1126.3.1 The Case Study 1126.3.2 Research Design 1136.3.3 Sample and Data Collection 1156.3.4 Analysis 1166.4 Results 1176.5 Discussion 1256.5.1 The Influence of Perceived Usefulness on the Absorption of the New Carbon Emission Technology 1256.5.2 The Influence of the Perceived Ease of Use on the New Carbon Emission Technologies 1256.5.3 Influence of Self- Efficacy in the Absorption of the New Carbon Emission Technology 1266.5.4 Personal Innovation and Absorption of New Carbon Emissions in South Africa 1266.5.5 Perceive Privacy and Security Risks Influence on the Absorption of the New Carbon Emission Technology 1276.5.6 Organizational Considerations and the New Carbon Emission Technology Application 1286.6 Implications 1296.6.1 Theoretical Implications 1296.6.2 Practical Implications 130References 1307 Toward Sustainable Business Travel: A Case of eco.mio Software Solution 139Marcia Mkansi, Frank Ranganai Matenda, and Ntwanano Mboweni7.1 Introduction 1397.2 Methodology 1447.3 Results 1457.3.1 Challenges and Solutions 1457.3.1.1 Challenges 1457.3.1.2 Overcoming the Challenges 1467.4 Impact of the Innovation 1507.5 Business Model of the Organization 1537.6 Learning Outcomes 1547.7 Plans to Further Develop the Initiative 155References 1568 Greening the Seafood Supply Chain Through Circular Economy and Digital Transformation: A Case Study of the UNIDO Indonesian Global Quality and Standards Program 159Ita Sualia, Eko Ruddy Cahyadi, and Anthony Halog8.1 Introduction 1598.1.1 Background 1598.1.2 Objective 1608.2 State- of- the- Art Greening Seafood Supply Chains Concept 1608.2.1 Green Supply Chain Management (GSCM) in the Seafood Supply Chains 1608.2.2 Circular Economy in Seafood Supply Chains 1628.2.3 Key Actors in Aquaculture- Based Seafood Supply Chains 1638.2.4 Digital Transformation in Seafood Supply Chains 1648.2.4.1 Automatic Fish Feeders 1648.2.4.2 Automatic Water Quality Monitoring 1658.3 The Case Study of Integrating GSCM and Digital Transformation in Aquaculture- Based Seafood Supply Chains 1658.3.1 Method 1668.3.1.1 Data Collection 1668.3.1.2 Data Collection Methods 1678.3.1.3 Data Analysis 1688.3.2 Result and Discussion 1698.3.2.1 Circular Economy: Least Cost Feed Formulation 1698.3.2.2 Good Aquaculture Practices and Digital Technology Transformation 1708.3.2.3 Digital Transformation: Automatic Feeders 1738.3.2.4 Digital Transformation: Real- Time Water Quality Monitoring 1738.4 The Learning Outcomes and Further Development 173References 1759 Business Model Innovation and Technological Advancement for Sustainable E- Waste Management: A Case Study of EWaste Africa in South Africa 179Ernest Marfo Asiedu, Frank Ranganai Matenda, and Pravashen Naidoo9.1 Introduction 1799.2 Literature Review 1829.2.1 Business Model Innovation for Sustainable E- Waste Management 1829.2.2 Technology Advancement for Sustainable E- Waste Management 1839.3 Methodology 1849.4 Findings and Discussions 1859.4.1 Business Model Innovation 1859.4.1.1 Business Models and Growth 1869.4.1.2 Stakeholder Engagement 1889.4.2 Innovative Solutions and Technologies 1909.4.2.1 Innovative Solutions by EWaste Africa 1909.4.2.2 Strategies Employed by EWaste Africa 1929.4.3 Addressing Challenges 1939.4.3.1 Key Challenges That Are Addressed by EWaste Africa’s Operations 1939.4.4 Key Challenges in Managing E- waste 1959.4.5 Evaluating Impacts and Effectiveness 1979.4.5.1 The Environmental, Economic, and Social Impacts of EWaste Africa’s Innovations 1979.4.5.2 Assessing EWaste Africa’s Waste Management Effectiveness and Impacts 1989.5 Discussions 1999.6 Conclusion 203References 20310 A Sustainable Electronic Waste Recycling: A Case Study of Basadi E- Waste 209Marcia Mkansi, Ernest Marfo Asiedu, and Frank Ranganai Matenda10.1 Introduction 20910.2 Literature Review 21110.2.1 The Growing Nature of E- Waste 21110.2.2 Impediments to Sustainable E- Waste Management 21210.2.3 Solutions and Future Directions in Sustainable E- Waste Management 21310.3 Methodology 21410.4 Findings 21510.4.1 Motivations and Core Elements of Green Innovation 21510.4.1.1 Green Innovation Motivations 21510.4.1.2 Core Elements of Green Innovation 21710.4.2 Practical Implementation of Green Innovation in E- Waste Recycling and Challenges Involved 21810.4.2.1 Green Innovation Sustainable Practices 21810.4.2.2 Scaling Green Innovation Challenges 22010.4.2.3 Green Innovation Support Ecosystem 22110.4.2.4 Green Innovation Sustainable Business Models 22210.5 Discussions 22310.6 Conclusion 225References 22711 Toward Sustainable Consumption: A Case of PLAN3T Application 231Marcia Mkansi and Frank Ranganai Matenda11.1 Introduction 23111.2 Challenges 23411.3 Overcoming the Challenges 23511.4 Method 23811.5 Impact of the Innovation 23911.6 Business Model of the Organization 24011.7 Learning Outcomes 24111.8 Plans to Further Develop the Initiative 24211.9 Conclusion 242References 24212 Green Initiatives of South Africa’s Leading Retailers: A Comparative Analysis of Sustainability Strategies 245Elizma S. Bok and Leonie B. Louw12.1 Introduction 24512.1.1 Objectives, Significance, and Scope of the Innovation 24612.1.2 Chapter Outline 24712.1.3 Definition of Key Terms 24712.2 The State of the Art 24812.2.1 The Triple Bottom Line (TBL) Framework 24912.2.2 The Circular Economy Model 25012.2.3 Stakeholder Theory 25012.2.4 Conclusion 25112.3 The Case: Top JSE Listed Retailers in South Africa (Green Initiatives) 25112.3.1 Methodology 25112.3.2 Overview of Top Five South African Retailers 25212.3.3 Green Initiatives 25212.3.4 Comparative Analysis of Green Initiatives 25312.4 Impact of Innovation 26112.5 Learning Outcomes 26212.6 Plans to Develop Further Initiatives 26212.7 Conclusion 263References 26313 Exploring Blockchain Technology Diffusion in Supply Chain Management to Enhance Sustainability Performance: Insights from Egypt an Emerging Economy 271Esraa Osama Zayed and Ehab A. Yaseen13.1 Introduction 27113.2 State of the Art 27413.2.1 Blockchain Technology and Supply Chain Sustainability 27413.2.2 Technology– Organization– Environment (TOE) Framework and Diffusion of Innovation (DoI) Theory 27613.3 The Case 28013.3.1 Data Collection 28013.3.2 Data Analysis 28213.3.3 Data Findings 28313.3.3.1 Survey Findings 28313.3.4 ISM Findings 28613.4 Learning Outcomes 29013.5 Plans to Further Develop the Initiative 292A Appendix 1: Survey Items 293A.1 Section 1: Technology– Organization– Environment Framework 293A.2 Section 2: Diffusion of Innovation Theory Stages 294References 29514 A Guide to Securing Funding for Scaling Green Innovations in Africa 301Aaron L. Nsakanda, Marcia Mkansi, Ernest Marfo Asiedu, and Frank Ranganai Matenda14.1 Introduction 30114.2 Literature Review 30314.3 Methodology 30514.3.1 Research Design and Approach 30514.3.2 Case Descriptions 30614.4 Findings 30914.4.1 Case Analysis 30914.4.1.1 Case 1 30914.4.1.2 Case 2 31514.4.1.3 Case 3 31914.4.1.4 Case 4 32314.4.1.5 Case 5 32714.4.2 Cross- Case Analysis 33214.5 Discussion 33414.6 Conclusions 337References 33815 Green Innovations in African Health Supply Chains: Case Studies and Policy Implications 343Julius Mugwagwa and Cynthia Siona Ndeh15.1 Introduction 34315.2 Green Innovations in Health Supply Chains: A Global Overview 34515.2.1 Defining Green Innovations in Healthcare 34615.2.2 Theoretical Frameworks for Green Innovation Adoption 34715.2.3 Global Best Practices in Green Innovations for Healthcare Supply Chains 34815.2.4 Challenges in Implementing Green Innovations in African Health Supply Chains 34915.3 Case Studies of Green Innovations in African Health Supply Chains 34915.3.1 E- Waste Management in Healthcare: The eWaste Africa Initiative 35015.3.2 Solar- Powered Health Clinics in Rural Areas 35015.3.3 Sustainable Logistics and Transportation for Health Supplies 35115.3.4 Eco- friendly Packaging for Medical Supplies 35215.3.5 Renewable Energy for Vaccine Refrigeration 35215.4 Policy Implications for Green Innovations in African Health Supply Chains 35315.4.1 E- Waste Management Policies 35315.4.2 Renewable Energy Integration Policies 35415.4.3 Sustainable Procurement and Green Logistics Policies 35515.4.4 E- Waste Education and Capacity Building 35515.4.5 Financing Green Innovations 35615.5 Challenges and Barriers to Implementing Green Innovations in African Health Supply Chains 35715.5.1 Financial Barriers 35815.5.2 Technical Barriers 35815.5.3 Institutional and Policy Challenges 35915.5.4 Social and Cultural Barriers 36015.5.5 Infrastructure Limitations 36115.5.6 Successful Green Innovations in Health Supply Chains: Global Examples and Key Policy Lessons for Africa 36115.6 Conclusion and Recommendations 36215.6.1 Key Findings 36415.6.2 Recommendations for Overcoming Barriers 36515.6.3 Key Lessons from the COVID- 19 Pandemic for Green Health Supply Chains 36615.6.4 Long- Term Vision for Green Health Supply Chains 367References 368Index 371