Green Supply Chain Management in the Constrained Economy : Artificial Intelligence and Machine Learning / Mufaro Dzingirai, editor.

Format:

Book

Contributor:

Dzingirai, Mufaro, editor.

Series:

Business issues, competition and entrepreneurship series.

Business Issues, Competition and Entrepreneurship Series

Language:

English

Subjects (All):

Industrial management--Environmental aspects.

Industrial management.

Physical Description:

1 online resource (332 pages)

Edition:

First edition.

Place of Publication:

New York : Nova Science Publishers, Inc., [2025]

Summary:

"Green supply chain management is at the heart of sustainable development in the 21st century whereby environmental, social, and governance issues are given strategic priority in the boardroom. Although some economic challenges are limiting the ability of organizations to embrace sustainable practices, it is expected that a responsible organization must be at the forefront of the adoption of environmentally friendly practices. This book critically examines the green supply chain management principles at a time when emerging advanced technologies like artificial intelligence, robotics, big data, and machine learning are transforming the supply chain management discourse. It also focuses on the critical success factors, barriers, and benefits of green supply chain management towards a circular economy. In this regard, it is really hard to attain the Africa Agenda 2063 and the United Nations' Sustainable Development Goals (SDGs) without broadening our understanding of green supply chain management principles and practices. Therefore, this unique and timely book addresses the core tenets of green supply chain management in an effort to foster environmentally friendly business practices. Heeding the clarion calls for a better future anchored on sustainable and responsible business practices, green innovation and supply chain management support the minimization of waste, investment in resource efficiency, green procurement, green distribution, and reverse logistics. This book explores and showcases the contemporary ways of fostering a circular economy in the 21st century whereby environmental degradation is significantly reduced. Green supply chain management demands a collaborative effort from scholars, researchers, policymakers, and practitioners. Consequently, the main goal of this book is to find innovative frameworks, methods, and solutions that address the pressing issues of environmental degradation towards the creation of a circular economy. Technological and governance solutions are instrumental in supporting green supply chain management, especially in a constrained economy"-- Provided by publisher.

Contents:

Intro

Contents

Preface

Acknowledgments

Chapter 1

An Introduction to Green Supply Chain Management: A Literature Scoping Approach

Abstract

1. Introduction

2. Fundamentals of Green Supply Chain Management

2.1. Core concepts of the Green Supply Chain

2.1.1. Green Procurement

2.1.2. Green Manufacturing

2.1.3. Green Logistics

2.1.4. Reverse Logistics

2.2. Drivers for Adopting GSCM Practices

2.3. Key Principles and Practices

3. Innovations in Technology for Green Supply Chain Management

3.1. IoT and Sensor Technologies

3.2. Big Data Analytics

3.3. Smart Contracts and Blockchain

4. Integration of Technology in Green Supply Chain Processes

4.1. Supply Chain Transparency and Visibility

4.2. Inventory Management Systems

4.3. Transportation Optimization

5. Barriers to the Sustainable Adoption of Technology in Green Supply Chains

5.1. Cost and ROI Considerations

5.2. Data Security and Privacy Concerns

5.3. Lack of Awareness and Education

6. Case Studies and Best Practices of GSCM

6.1. Apple, Inc.

6.2. Tesla, Inc.

6.3. Company B: Utilization of Big Data Analytics for Sustainable Sourcing

7. Emerging Technologies in Green Supply Chains

7.1. Metrics to Measure an Organization's Success and Impacts of GSCM Initiatives

8. Implications for Practice and Policy

Conclusion

References

Chapter 2

Challenges of Green Manufacturing in the Global South

2. Background to the Study

3. Research Objectives

4. Conceptual Model

5. Literature Review

5.1. Rationale for Sustainable Manufacturing

5.2. Analysis of Challenges of Green Manufacturing in the Global South

5.2.1. Infrastructural Barriers

5.2.2. Financial Constraints

5.2.3. Regulatory and Policy-Related Challenges

5.2.4. Technological Barriers.

6. Research Methodology

6.1. Formulation of the Research Question

6.2. Inclusion and Exclusion Criteria

6.3. The Search Strategy

6.4. The PRISMA Flowchart

6.5. Assessment of Quality and Bias

7. Results/Discussion

8. Areas for Further Research

8.1. Longitudinal Studies to Track the Progress of Green Manufacturing Adoption Over Time

8.2. Comparative Studies between Different Regions within the Global South

9. Managerial Implications

9.1. Leveraging Governmental Support

9.2. Promoting Technological Advancements

9.3. Exploring Diverse Financing Options

9.4. Fostering a Culture of Sustainability

Chapter 3

Drivers of Green Marketing in a Constrained Economy

3. Research Aim and Objectives

4. Research Methodology

5. Results and Discussion

5.1. Green Marketing

5.2. Drivers of Green Marketing

5.3. Challenges Associated with Green Marketing in a Constrained Economy

5.3.1. Structuring Green Marketing

5.3.2. Credibility of Green Marketing Tools

5.3.3. Environmental Performance Measurement

5.3.4. The Success Rate of Green Products

5.3.5. Green Marketing Cost

5.3.6. Change Management

5.3.7. Policing the Value Chain

6. Further Research

7. Managerial Implications

Chapter 4

The Role of Robotics in Enhancing Green Procurement Practices: A Systematic Literature Review

3. Research Questions

4. Theoretical Framework

4.1. Technology Acceptance Model

4.2. Resource-Based View Theory

5. Methodology

6. Results and Discussion

6.1. The Concept of Green Procurement

6.2. Robotics Technology in Green Procurement

6.3. Challenges of Implementing Robotics in Green Procurement.

6.4. Research Gap

7. Results

7.1. Geographical Distribution of Publication

7.2. Role of Robotics in Green Procurement

8. Discussion

9. Further Research

10. Managerial Implications

Chapter 5

Nexus Between Green Packaging and the Circular Economy

4. Methodology

5.1. Green Packaging

5.2. Circular Economy (CE)

5.3. The Impact of Sustainable Materials on the Effectiveness of the Circular Economy

5.4. The Role of Eco-Friendly Design in Enhancing the Circular Economy

5.5. The Influence of Production and Manufacturing Processes on the Adoption and Success of the Circular Economy

5.6. The Contribution of Waste Reduction and Management Practices to the Circular Economy

5.7. The Economic and Social Impacts of Green Packaging within the Circular Economy Framework

5.7.1. Economic Impacts

5.7.2. Social Impacts

5.7.3. Case Studies

5.7.3.1. Case Study: Coca-Cola

5.7.3.2. Case Study: Unilever

5.7.3.3. Case Study: IKEA

5.7.3.4. Case Study 4: Lush Cosmetics

5.8. Further Research

5.9. Managerial Implications

Chapter 6

The Influence of Green Supply Chain Management on Organizational Performance

2. Background of the Study

4.1. Triple Bottom Line Theory

4.2. Transaction Cost Theory

4.3. Stakeholder Theory

6. Results

6.1. Overview of Sustainable Procurement Practices

6.2. Organizational Performance

6.3. Financial Performance

6.4. Environmental Performance

6.5. Measurement of Firm Performance

6.6. Effects of Green Procurement on Organizational Performance.

6.7. Whole-Life Costing on Organizational Performance

6.8. Supplier Partnering on Organisational Performance

7. Discussion

8. Recommendations for Further Research

Chapter 7

A Systematic Literature Review on the Role of Green Product Design in Corporate Sustainability

2. Background

4.1. Resource-Based View Theory

4.2. Network Theory

7. Areas of Further Research

8. Managerial Implications

Chapter 8

Educational Awareness for Green Distribution Towards Sustainable Development: A Systematic Review

4.1. Diffusion of Innovations

4.2. Stakeholder Theory

5.1. Search Strategy

5.2. Selection Process

5.2.1. PRISMA Flow

5.2.2. Identification

5.2.3. Screening

5.2.4. Eligibility

5.2.5. Included

5.3. Data Collection Process

5.4. Synthesis Methods

6.1. Overview of Green Distribution Practices

6.2. Importance of Educational Awareness in Promoting Green Distribution Practices

6.3. Educational Strategies and Initiatives

6.4. Barriers to Implementing Green Distribution Education

6.4.1. Economic Barriers

6.4.2. Cultural Barriers

6.4.3. Infrastructural Barriers

6.4.4. Policy-Related Barriers

7.1. Trend Analysis of Publications

7.2. Publications by Country

7.3. Publications by Industry

7.4. Key Strategies for Increasing Educational Awareness in Green Distribution

7.5. Key Strategic Themes for Increasing Educational Awareness in Green Distribution

9. Recommendations for Further Research.

10. Managerial Implications

Chapter 9

Sustainable Supply Chain Management: How Ubuntu Principles Can Enrich Green Supply Chain Management in Africa?

2. Conceptualisation of Ubuntu Philosophy

3. Conceptualisation of Green Supply Chain Management

4.1. Collective Five Finger Theory

5. Benefits of Ubuntu Principles in Sustainable Supply Chain Management

5.1. Concern for Community

5.2. Co-Responsibility

5.3. Compassion

5.4. Relationships

5.5. Respect

5.6. Survival

6. The Need for Contextualized Green Supply Chain Management

7. Looking Forward

Chapter 10

The Role of Artificial Intelligence in Green Supply Chain Management

4. Conceptual of Key Terms

4.1. Artificial Intelligence

4.2. Green Supply Chain Management (GSCM)

6.1. Key AI Technologies and Their Applications in GSCM

6.1.1. Machine Learning and GSCM

6.1.2. Natural Language Processing (NLP)

6.1.3. Computer Vision

6.1.4. Robotics

6.1.5. Expert Systems

6.2. The Challenges Associated with Integrating AI into GSCM Practices

6.2.1. Data Quality and Availability

6.2.2. Integration with Existing Systems

6.2.3. Change Management and Skill Gaps

6.2.4. Ethical and Environmental Considerations

6.2.5. Cost and ROI evaluation

6.3. Case Studies Demonstrating Successful AI-Driven GSCM Implementations

6.3.1. Case Study 1: Mathews (2024). How Unilever Leverages AI to Drive Innovation and Sustainability?

6.3.2. Case Study 2: Yoo, A (2017). UPS: Driving Performance by Optimizing Driver Behavior.

6.3.3. Case Study 3: Walmart (2024). Walmart Commerce Technologies Launches AI-Powered Logistics Products.

Notes:

Includes bibliographical references and index.

Description based on publisher supplied metadata and other sources.

Description based on print version record.

ISBN:

979-88-95305-29-4

OCLC:

1517395762