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Advanced Technologies and the Management of Disruptive Supply Chains : The Post-COVID Era / / Hassan Qudrat-Ullah and Syed Imran Ali, editors
| Advanced Technologies and the Management of Disruptive Supply Chains : The Post-COVID Era / / Hassan Qudrat-Ullah and Syed Imran Ali, editors |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (264 pages) |
| Disciplina | 658.7 |
| Collana | Understanding Complex Systems Series |
| Soggetto topico |
Business logistics - Management
COVID-19 Pandemic, 2020- - Influence |
| ISBN | 3-031-45229-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Part I Introduction -- 1 An Overview of Advanced Technologies for the Management of Disruptive Supply Chains -- 1.1 Introduction -- 1.2 Background -- 1.3 Methodology -- 1.4 Research Categories -- 1.5 Conclusion -- References -- Part II Theoretical Models for Building Resilient Supply Chains -- 2 Smart Manufacturing: A Review Toward the Improvement of Supply Chain Efficiency, Productivity, and Sustainability -- 2.1 Introduction -- 2.2 Smart Manufacturing and Agile and Flexible Supply Chain Process -- 2.3 Smart Technologies and Supply Chain Transformation -- 2.4 Methodology -- 2.5 Common Strategies for Supply Chain Efficiency, Productivity, and Sustainability -- 2.5.1 Smart Manufacturing and Supply Chain Efficiency -- 2.5.2 Smart Manufacturing and Supply Chain Productivity -- 2.5.3 Smart Manufacturing and Supply Chain Sustainability -- 2.6 Criticism of Emerging Technologies Issues Related to Data Management, Privacy, and Security -- 2.7 Post-COVID-19 Insights and Lessons -- 2.8 Post-Covid Implications -- 2.9 Conclusion -- References -- 3 Revolutionizing Supply Chain Management: A Bibliometric Analysis of Industry 4.0 and 5.0 -- 3.1 Introduction -- 3.2 Human-Machine Collaboration and Supply Chain Management -- 3.3 Movement of Industrial Revolution: From Industry 4.0 to 5.0 -- 3.4 Methodology -- 3.5 Contribution of Industry 4.0 and Industry 5.0 -- 3.5.1 Supply Chain Monitoring and Tracking -- 3.5.2 Supply Chain Transformation, Automated Production and Factory System -- 3.6 Potential Issues with Data Security and Workforce Displacement of Industrial Revolution -- 3.7 Summary Advancements of Supply Chain Through Industry 4.0 and Industry 5.0 -- 3.7.1 Industry 4.0 -- 3.7.2 Industry 5.0 -- 3.8 Conclusion -- References -- 4 Supply Chain Resilience: A Literature Review and Gap Analysis -- 4.1 Introduction.
4.2 Review of Literature -- 4.2.1 Definitions of Supply Chain Resilience -- 4.2.2 Types of Supply Chain Resilience Strategies -- 4.3 Supply Chain Resilience Measures -- 4.3.1 Approaches Used in Supply Chain Resilience -- 4.4 The Relationship Between Supply Chain Resilience and Supply Chain Performance Based on the Dynamic Capability Theory -- 4.5 Research Gaps -- 4.5.1 Gaps Related to Supply Chain Resilience -- 4.5.2 Future Implications -- 4.5.3 Conclusion -- 4.5.4 Insights and Implications Post COVID Practice -- References -- 5 Principal Lessons Learned from COVID-19: Prescriptive and Long-Lasting Strategies for Sustainable Supply Chain Improvement -- 5.1 Introduction -- 5.2 Objectives and Methodology -- 5.3 Identifying Supply Chain Bottlenecks and Possible Solutions -- 5.3.1 Demand and Supply Uncertainty -- 5.3.2 Material Shortage -- 5.3.3 Delayed in Timely Deliveries -- 5.3.4 Lack of Visibility -- 5.3.5 Port Congestion -- 5.3.6 Disruptive Food/essentials Supply Chain -- 5.3.7 Shortage of Personal Protective Equipment -- 5.3.8 Driver Shortages -- 5.3.9 Semiconductor Shortage for the Automobile Industry -- 5.3.10 Russia-Ukraine War and Risks to Global Supply Chains -- 5.3.11 Disruptive Vaccine Supply Chain -- 5.3.12 Shortages of Critical Supplies and Components -- 5.3.13 Lack of Resilience -- 5.3.14 Lithium-Ion Battery Crisis -- 5.3.15 Global Shipping Container Shortage -- 5.3.16 Last-Mile Delivery Challenges -- 5.3.17 Inadequate Contingency Planning -- 5.3.18 Lack of Traceability and Transparency -- 5.3.19 Labor Shortage -- 5.3.20 High Freight and Container Handling Cost -- 5.4 Recommendations from Contemporary Literature (2020-2023) -- 5.4.1 Improve Supply and Demand Imbalance -- 5.4.2 Improve and Invest in Sustainability -- 5.4.3 Develop a Crisis Management Plan -- 5.4.4 Improve Supply Chain Visibility -- 5.4.5 Enhance Supply Chain Agility. 5.4.6 Diversify Supplier Base -- 5.4.7 Emphasize Employee Health and Safety -- 5.4.8 Employee-Friendly HR Policy -- 5.4.9 Counter Strategies on Semiconductor Shortage -- 5.4.10 Building Future Resilience Based on the War Situation -- 5.4.11 Efficient Supply Chain Traceability -- 5.4.12 Implement a Risk Management Strategy -- 5.4.13 Achieve Supply Chain Resilience -- 5.4.14 Improve Transparency and Collaboration Through Technology -- 5.4.15 Enhance Supply Chain Visibility -- 5.4.16 Innovative Solutions in Last-Mile Delivery -- 5.4.17 Develop Robust Contingency Plans -- 5.4.18 Invest and Adopt New Technology -- 5.4.19 Ensuring Available Labor for Normal Operations -- 5.4.20 Minimize Freight and Container Handling Costs -- 5.5 Principal Recommendations with Instances -- 5.5.1 Invest in Technology -- 5.5.2 Diversify Supplier Base Using Multiple Sources -- 5.5.3 Enhance Supply Chain Agility -- 5.5.4 Emphasize Efficient HR Policy Related to Employee Health and Safety -- 5.5.5 Develop a Crisis Management Plan -- 5.5.6 Focus on Sustainability and Continuous Improvement -- 5.6 Concluding Remarks -- References -- Part III Building Sustainable Supply Chains with Advanced Technologies -- 6 Impact of Digitalisation in Developing Procurement and Supply Chain Resilience in the Post Pandemic Era-A Study of the Global Manufacturing Sector -- 6.1 Introduction -- 6.2 SLR Methodology -- 6.2.1 Planning -- 6.2.2 Searching -- 6.2.3 Screening -- 6.2.4 Extraction and Synthesis -- 6.2.5 Reporting -- 6.3 Descriptive Findings -- 6.3.1 Chronological Distribution -- 6.3.2 Geographical Distribution -- 6.3.3 Sector Distribution -- 6.3.4 Classification by Document Type -- 6.3.5 Classification by Research Methods -- 6.4 Thematic Findings and Discussion -- 6.4.1 Theme 1: Key Factors That Influence the Impact of Global Pandemics on PSCR. 6.4.2 Theme 2: Major Risks and Challenges Caused by Global Pandemics on the PSCR -- 6.4.3 Theme 3: Good Practices That Can Be Adopted in Managing the Impact of Global Pandemics on the PSCR -- 6.4.4 Insights and Implications for Post-Covid Practice: Theme 4: Actions That Can Be Taken to Develop and Control PSCR in the Post Pandemic Era -- 6.5 Conclusion -- References -- 7 Obstacles in Disruption and Adoption of Green Supply Chain Management (GSCM) Practices by Manufacturing Industries -- 7.1 Introduction -- 7.1.1 Background of the Study -- 7.2 Literature Review -- 7.2.1 Green Supply Chain Management (GSCM) -- 7.2.2 Conceptual Background of Green Supply Chain Management (GSCM) -- 7.2.3 Factors Impeding the Adoption of Green Supply Chain Management (GSCM) in Karachi -- 7.2.4 Analyze Current Supplier Partnerships -- 7.2.5 Evaluation Methods -- 7.2.6 ESG Possibilities Expand with the Addition of New Suppliers -- 7.2.7 Downstream, There Are Direct Routes to "Greening" That Matter -- 7.2.8 The Effects of Global Warming -- 7.2.9 Green Supply Chain Management -- 7.2.10 Multi-tiered GSCM Practices -- 7.2.11 Customers' Demands and Vendors' Ability -- 7.2.12 For What Reasons Do Businesses Choose Eco-friendly Supply Chains? -- 7.2.13 Strategic Human Resource Management: Why It Matters -- 7.2.14 When Putting Your SHRM Strategy into Action -- 7.2.15 Sustainable Consumption and Production -- 7.2.16 Profitable Endeavors -- 7.3 Methodology for the Book Chapter -- 7.3.1 Approach for the Book Chapter -- 7.3.2 Themes -- 7.3.3 Practical Implications of GSCM in the Manufacturing Sector of Karachi -- 7.4 Implications of the Book Chapter -- 7.4.1 Recommendations -- 7.4.2 Model Representation of Barriers to GSCM Practices in Organization -- 7.4.3 Insights and Implications Post-Covid Practice -- 7.4.4 Advantages of GSCM -- 7.5 Conclusion -- References. 8 Improving Supply Chain Resilience with a Control Tower Approach Beyond Covid-19 -- 8.1 Introduction -- 8.2 Literature Review -- 8.2.1 Resilience and Disruption Management -- 8.2.2 Visibility Through Control Towers -- 8.2.3 Quick Action Through Effective Business Processes -- 8.3 Methodology -- 8.4 Analysis and Findings -- 8.4.1 The Functionality of the Control Tower -- 8.4.2 Implementation -- 8.4.3 Forms of Analytics -- 8.4.4 Challenges -- 8.5 Discussion -- 8.5.1 The Functionality of the Control Tower -- 8.5.2 Implementation -- 8.5.3 Forms of Analytics -- 8.5.4 Challenges -- 8.6 Summary and Discussion -- 8.6.1 Insights and Implications Post-Covid Practice -- 8.6.2 Limitations and Future Research -- References -- 9 Phenomenological Study of Pharmaceutical Supply Chain in Pakistan: Innovative Approaches to Minimize Operational Inefficiencies -- 9.1 Introduction -- 9.2 Theoretical Background -- 9.3 Methodology -- 9.3.1 Context -- 9.3.2 Development of Semi-structured Interviews -- 9.3.3 Qualitative Data Collection -- 9.3.4 Data Analysis -- 9.4 Higher End Qualitative Analysis -- 9.4.1 Findings -- 9.4.2 Government Regulations -- 9.4.3 Product Expertise -- 9.4.4 Continuous Forecasting -- 9.4.5 Technological Advancement -- 9.5 Conclusion -- 9.5.1 Insights and Implications Post-Covid Practice -- 9.5.2 Limitations -- References -- 10 Supply Chain Resilience During Pandemic Disruption: Evidence from the Healthcare Sector of Pakistan -- 10.1 Introduction -- 10.1.1 Book Chapter Overview -- 10.2 Theoretical Background -- 10.2.1 Supply Chain Resilience -- 10.2.2 Strategies to Overcome Supply Chain Resilience -- 10.2.3 Theoretical Perspective-Resource Based View -- 10.3 Methodology -- 10.3.1 Data Collection -- 10.3.2 Sampling and Sample Size -- 10.3.3 Thematic Analysis -- 10.4 Data Analysis -- 10.4.1 Discussion -- 10.4.2 Findings. 10.4.3 Flexible Supply Chain Strategies. |
| Record Nr. | UNINA-9910765495503321 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Complex decision making : theory and practice / / H. Qudrat-Ullah, J.M. Spector, P.I. Davidsen (editors)
| Complex decision making : theory and practice / / H. Qudrat-Ullah, J.M. Spector, P.I. Davidsen (editors) |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin : , : Springer, , [2008] |
| Descrizione fisica | 1 online resource (345 p.) |
| Disciplina | 658.403 |
| Collana | Springer complexity |
| Soggetto topico |
Decision making
Decision support systems Multiple criteria decision making |
| ISBN |
1-281-35508-9
9786611355081 3-540-73665-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Complex Decision Making Concepts, Theories, and Empirical Evidence -- How to Improve Dynamic Decision Making? Practice and Promise -- Expertise and Dynamic Tasks -- Tools and Techniques for Decision Making in Complex Systems -- Dynamic Handling of Uncertainty for Decision Making -- Using System Dynamics and Multiple Objective Optimization to Support Policy Analysis for Complex Systems -- Creation of Hydroelectric System Scheduling by Simulation -- Complex Decision Making using Non-Parametric Data Envelopment Analysis -- Using Group Model Building to Inform Public Policy Making and Implementation -- Agents First! Using Agent-based Simulation to Identify and Quantify Macro Structures -- System Dynamics and Agent-Based Modeling in Action -- Influencing and Interpreting Health and Social Care Policy in the UK -- System Dynamics Advances Strategic Economic Transition Planning in a Developing Nation -- Saving a Valley: Systemic Decision-making Based onQualitative and Quantitative System Dynamics -- Building Long-Term Manufacturer-Retailer Relationships through Strategic Human Resource Management Policies: A System Dynamics Approach -- Diffusion and Social Networks: Revisiting Medical Innovation with Agents -- Methodological Issues in Research on Complex Decision Making -- Measuring Change in Mental Models of Complex Dynamic Systems -- A Comprehensive Model of Goal Dynamics in Organizations: Setting, Evaluation and Revision -- Future Directions on Complex Decision Making -- Future Directions on Complex Decision Making Using Modeling and Simulation Decision Support. |
| Record Nr. | UNINA-9910146558503321 |
| Berlin : , : Springer, , [2008] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Managing complex tasks with systems thinking / / Hassan Qudrat-Ullah, editor
| Managing complex tasks with systems thinking / / Hassan Qudrat-Ullah, editor |
| Pubbl/distr/stampa | Cham : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (xiii, 484 pages) : illustrations |
| Disciplina | 658.403 |
| Collana |
Understanding complex systems
Springer complexity |
| Soggetto topico |
Systems engineering
System theory Business logistics Operations research Complex Systems Supply Chain Management Operations Research and Decision Theory |
| ISBN |
3-031-40635-4
9783031406355 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Introduction to Systems Thinking and its Applications -- Chapter 1. Introduction: Managing Complex Tasks with Systems Thinking -- Part II. Theoretical and Methodological Advancements -- Chapter 2. A Systems Engineering Framework for Reliability Assurance of Subsea Oil and Gas Production Systems -- Chapter 3. Improving the Strategy for Scientific Vocations in Colombia through Participatory Modeling Based on System Dynamics -- Chapter 4. Bringing Behavioral Economics into System Dynamics: Some Challenges, Solutions, and a Path Forward -- Chapter 5. From Value Networks to Causal Loop Diagrams: Strategic Preparation for Designing Systemic Interventions in Organizations -- Part III. Applications of Systems Thinking in Education. Chapter 6. Learning Analytics and Interactive Multimedia Experience in Enhancing Student Learning Experience: A Systemic Approach -- Chapter 7. Fostering Problem-Solving Skills and Creativity in Latin America Primary Schools Through System Dynamics -- Exploring Gender Inequality and Practical Solutions for an Equitable Environment for Women in Scientific Vocations -- Chapter 8. Exploring Gender Inequality and Practical Solutions for an Equitable Environment for Women in Scientific Vocations -- Part IV. Bridging the Digital Gap with Systems Thinking -- Chapter 9. Using System Thinking for Improved Access, Equity, and Decision-Making in the Digital Age -- Chapter 10. Navigating the IT Professional Shortage with System Thinking: Practical Insights for Better Decision Making -- Part V: Addressing Agricultural Issues with Systems Thinking -- Chapter 11. Leveraging IoT and System Dynamics for Effective Cooperation in Solving Social Dilemmas in Water Management -- Chapter 12. Exploring the Systemic Causes of Land Inequality with Systems Thinking -- Chapter 13. Biosecurity Adherence Using Cooperation Mechanisms: Leveraging System Thinking for Effective Strategic Organizational Biosecurity Decision Making -- Part VI. Sustainability Science and Systems Thinking -- Chapter 14. Review on Sustainable Plastic Contents Recycling in Bangladesh: A System Dynamics Approach -- Chapter 15. The Potential Impact of ESG Spending on Public Perception of the Canadian Oil Sands -- Part VII. Dealing with the Complexity of Healthcare Systems -- Chapter 16. Improving Healthcare Policy Decisions with Systems Thinking: An Experimental Study -- Chapter 17. Understanding the Process of Production and Distribution of N95 Mask with a Systems Thinking Approach -- Chapter 18. Endangered Species-A Broad Look at Their Demographic Effects with Systems Thinking -- Chapter 19. Understanding the Dynamics of the HIV/AIDS Epidemic in China with System Dynamics -- Part VIII. Finally. Chapter 20. Conclusion and A Way Forward for Managing Complex Tasks. |
| Record Nr. | UNINA-9910763589903321 |
| Cham : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Understanding the dynamics of new normal for supply chains : post COVID opportunities and challenges / / edited by Hassan Qudrat-Ullah
| Understanding the dynamics of new normal for supply chains : post COVID opportunities and challenges / / edited by Hassan Qudrat-Ullah |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (208 pages) |
| Disciplina | 260 |
| Collana | Understanding Complex Systems |
| Soggetto topico | Business logistics |
| ISBN |
9783031073335
9783031073328 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface and Acknowledgements -- Contents -- Contributors -- Part I Understanding Supply Chain Dynamics: An Introduction -- 1 Introduction to Supply Chain Dynamics and Post-COVID Implications -- 1.1 Introduction -- 1.2 Methodology -- 1.3 Research Categories -- 1.4 The Unique Theoretical Perspectives for the Post-COVID Supply Chains -- 1.4.1 Shifts in Supply Chain Strategies -- 1.4.2 Suppliers Selection in Post-COVID Era -- 1.5 The Innovative Modeling-Based Solutions for Industry-Specific Supply Chains -- 1.5.1 Sustainable Outcomes and the Structured Forward Supply Chains -- 1.5.2 Environmental Voluntary Commitments and Transport Sector Supply Chains -- 1.5.3 Waste Management and Disruptive Supply Chains -- 1.5.4 Multi-Criteria Analysis of Disruption Risks for Supply Chains -- 1.5.5 Managing Meat Processing, Food Service, and Poultry Supply Chains -- 1.5.6 Managing Meat Processing, Food Service, and Poultry Supply Chains -- 1.6 Concluding Remarks -- References -- Part II Understanding Supply Chain Dynamics -Theoretical Perspectives -- 2 Post-Covid Supply Chain Dimensions Proposed Shift -- 2.1 Introduction -- 2.2 Observed Post Covid Transformation in Supply Chain -- 2.2.1 Last Mile Service -- 2.2.2 Dramatic Increase in Remote Work -- 2.3 Organizational Design Dimension -- 2.3.1 Cultural Aspects: Lack of 'Socio' in Socio-Technical -- 2.3.2 Reputation and Trust: From Customer Satisfaction to Business Ecosystem Experience -- 2.4 Key Implications for Post Covid Supply Chain Practitioners -- 2.4.1 Technological -- 2.4.2 Competences -- 2.4.3 Attitudinal -- 2.5 Conclusion -- References -- 3 Characteristics and Capabilities of a Successful Supplier: A Conceptual Model -- 3.1 Introduction -- 3.2 Supply Chain Management in the Twenty-First Century -- 3.2.1 History and Development -- 3.2.2 Creation Era -- 3.2.3 Integration Era.
3.2.4 Globalization Era -- 3.2.5 Role of a Supplier in the Supply Chain -- 3.3 Supplier Selection Criteria -- 3.4 Importance of Supplier Selection Criteria -- 3.4.1 Overall Price/Cost Performance -- 3.4.2 Quality of the Product -- 3.4.3 Service Performance -- 3.4.4 Supplier's Profile -- 3.4.5 Bringing It Together -- 3.5 Emerging Factors in Supplier Selection Criteria -- 3.5.1 Communication Skills -- 3.5.2 Human Capital -- 3.5.3 Information Technology (IT) -- 3.5.4 Strategic Commitment -- 3.6 Supplier Selection in Automotive Industry -- 3.6.1 Characteristics of a First Tier Supplier in the Automotive Industry -- 3.6.2 Application of the Supplier Selection Model to Automotive Industry -- 3.6.3 Impact of Communication Skills on the Automotive Industry -- 3.6.4 Impact of Human Capital on Automotive Industry -- 3.6.5 Impact of Information Technology on the Automotive Industry -- 3.6.6 Impact of Strategic Commitment on Automotive Industry -- 3.7 Implication for Supplier Selection in the Post-COVID Era -- 3.8 Conclusion -- Appendix 1 -- References -- Part III Understanding Supply Chain Dynamics - Modeling-Based Empirical Solutions -- 4 Sustainable Outcomes Through the Structured Forward Supply Chain: A System Dynamic Approach -- 4.1 Introduction -- 4.2 Research Questions and Objectives -- 4.3 Literature Review -- 4.3.1 Sustainability -- 4.3.2 Economic Activities in Poultry Farming -- 4.3.3 Financial Profitability -- 4.3.4 Value Addition -- 4.3.5 Sales and Cost of Goods -- 4.4 Social Activities in Poultry Farming -- 4.4.1 Employment Creation -- 4.4.2 Poverty Reduction -- 4.4.3 Create Self-Employed Young Entrepreneurs -- 4.4.4 Creating New Ventures and Family Business Creation -- 4.4.5 Social Welfare and Care -- 4.4.6 Sustainability with Economic and Social Benefits -- 4.4.7 Supply Chain Theory and Models -- 4.4.8 Poultry Forward Supply Chain (FSC). 4.5 Methodology -- 4.5.1 Causal Model -- 4.5.2 Stock and Flow Model for Simulation (Quantitative) -- 4.6 Results -- 4.6.1 Parent Chicks and Mature Parent -- 4.6.2 Day-Old Chicks, Middlemen, Farmers, and Broiler Chicken -- 4.6.3 Forward Supply Chain and Employment -- 4.7 Reliability and Validity of the Model -- 4.7.1 Model Reliability -- 4.7.2 Model Validity -- 4.7.3 Boundary Adequacy -- 4.7.4 Structure Verification -- 4.7.5 Dimensional Consistency -- 4.7.6 Extreme Condition Tests -- 4.8 Discussions of Results -- 4.9 Sustainable Poultry Production -- 4.9.1 Economic Activities in Poultry Process -- 4.9.2 Social Activities in Poultry Process -- 4.9.3 Post-COVID Implications for Poultry Supply Chains -- 4.10 Conclusions -- References -- 5 Environmental Voluntary Programs in the Transport Industry in the Post-COVID Situation: The French Experience -- 5.1 Introduction -- 5.2 Relevance of the Transportation and Logistics Sector in CO2 Emissions: Environmental Mandatory and Voluntary Programs -- 5.3 Framing Transport Organization's Behaviors in Environmental Programs: The Neo-Institutional Theory Perspective -- 5.4 Designing a Sustainable Transportation Policy in France: The Expected Contribution of the EVE Environmental Voluntary Program -- 5.4.1 Designing a Sustainable Transportation Policy in France -- 5.4.2 The French EVE Environmental Voluntary Program -- 5.5 A Preliminary SD Model to Support the Design and Implementation of a Sustainable Transportation Policy in France -- 5.5.1 The Research Approach Used to Build the System Dynamics Model -- 5.5.2 Main Feedback Loops -- 5.5.3 The Preliminary Stock and Flow Structure -- 5.5.4 Post-COVID Implications for the Transport and Logistics Sector of France? -- 5.6 Conclusions -- References -- 6 Waste Processing Scenarios to Support Sustainable Environmental Development Using System Dynamics -- 6.1 Introduction. 6.2 Literature Review -- 6.2.1 Waste -- 6.2.2 Impact of Covid-19 on Garbage Buildup -- 6.3 Methodology -- 6.4 Result and Discussion -- 6.4.1 System Understanding and Causal Loop Diagram (CLD) Development -- 6.4.2 Stock and Flow Diagram (SFD) Development -- 6.4.3 Model Validation -- 6.4.4 Scenario -- 6.5 Implications for Post-Covid Waste Management Supply Chains -- 6.6 Conclusion and Further Research -- References -- 7 Multi-criteria Analysis of Disruption Risks for Supply Chains Due to Pandemics -- 7.1 Introduction -- 7.2 Literature Review -- 7.3 Methods -- 7.3.1 Analytic Hierarchy Process -- 7.3.2 Technique of Order Preference by Similarity to Ideal Solution -- 7.4 Case Study -- 7.5 Results and Discussion -- 7.5.1 Results -- 7.5.2 Implications for Supply Chain Managers -- 7.5.3 Post-COVID-19 Implications for Supply Chains -- 7.6 Conclusions -- References -- 8 A Review of Supply Chain Management Practices: The Case of Botswana State-Owned Enterprises (SOE) -- 8.1 Introduction -- 8.2 Supply Chain Management (SCM) -- 8.3 Africa and COVID-19 Pandemic -- 8.3.1 COVID-19 Impact in Africa -- 8.3.2 Botswana -- 8.4 Supple Chain Management and COVID-19 -- 8.4.1 Covid and Food Chain Supply -- 8.4.2 Covid and Meat Processing -- 8.4.3 Health Care Supply Chains and Covid -- 8.4.4 Covid and Essential Workers -- 8.4.5 Unemployment During the Pandemic -- 8.5 Supply Chain Management Practices -- 8.6 Implementing SCM Strategy in Botswana During COVID -- 8.6.1 Relationship Management in Botswana State Owned Enterprises -- 8.7 Implications for Supply Chain Management -- References -- 9 Collaboration Model Between Buyer and Supplier: An Empirical Assessment of Indonesian Pharmaceutical Industry -- 9.1 Introduction -- 9.2 Supply Chain Management in the Pharmaceutical Industry -- 9.2.1 Supply Chain for Medicines in Indonesia -- 9.3 Methodology. 9.3.1 Unit of Analysis, Population, and Research Sample -- 9.3.2 Data Collection Procedure -- 9.3.3 Measurements -- 9.3.4 Data Analysis -- 9.4 Results -- 9.4.1 Assessment of the Measurement -- 9.4.2 Hypotheses Testing -- 9.4.3 Non-Nested Model Comparison -- 9.5 Discussion -- 9.5.1 Implications for Theory -- 9.5.2 Implications for Practice -- 9.5.3 Post-COVID Implications for Supply Chains in Pharmaceutical Company -- 9.6 Conclusion -- Appendix -- Loadings and Reliability (Cronbach's Alpha) -- References -- Thematic Bibliography -- Theme 1: Understanding Supply Chain Dynamics-Theoretical Perspectives -- References for Theme 1 -- Theme 2: Understanding Supply Chain Dynamics-Modeling-Based Empirical Solutions -- References for Theme 2 -- Index. |
| Record Nr. | UNISA-996495164403316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Understanding the dynamics of new normal for supply chains : post COVID opportunities and challenges / / edited by Hassan Qudrat-Ullah
| Understanding the dynamics of new normal for supply chains : post COVID opportunities and challenges / / edited by Hassan Qudrat-Ullah |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (208 pages) |
| Disciplina | 260 |
| Collana | Understanding Complex Systems |
| Soggetto topico | Business logistics |
| ISBN |
9783031073335
9783031073328 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface and Acknowledgements -- Contents -- Contributors -- Part I Understanding Supply Chain Dynamics: An Introduction -- 1 Introduction to Supply Chain Dynamics and Post-COVID Implications -- 1.1 Introduction -- 1.2 Methodology -- 1.3 Research Categories -- 1.4 The Unique Theoretical Perspectives for the Post-COVID Supply Chains -- 1.4.1 Shifts in Supply Chain Strategies -- 1.4.2 Suppliers Selection in Post-COVID Era -- 1.5 The Innovative Modeling-Based Solutions for Industry-Specific Supply Chains -- 1.5.1 Sustainable Outcomes and the Structured Forward Supply Chains -- 1.5.2 Environmental Voluntary Commitments and Transport Sector Supply Chains -- 1.5.3 Waste Management and Disruptive Supply Chains -- 1.5.4 Multi-Criteria Analysis of Disruption Risks for Supply Chains -- 1.5.5 Managing Meat Processing, Food Service, and Poultry Supply Chains -- 1.5.6 Managing Meat Processing, Food Service, and Poultry Supply Chains -- 1.6 Concluding Remarks -- References -- Part II Understanding Supply Chain Dynamics -Theoretical Perspectives -- 2 Post-Covid Supply Chain Dimensions Proposed Shift -- 2.1 Introduction -- 2.2 Observed Post Covid Transformation in Supply Chain -- 2.2.1 Last Mile Service -- 2.2.2 Dramatic Increase in Remote Work -- 2.3 Organizational Design Dimension -- 2.3.1 Cultural Aspects: Lack of 'Socio' in Socio-Technical -- 2.3.2 Reputation and Trust: From Customer Satisfaction to Business Ecosystem Experience -- 2.4 Key Implications for Post Covid Supply Chain Practitioners -- 2.4.1 Technological -- 2.4.2 Competences -- 2.4.3 Attitudinal -- 2.5 Conclusion -- References -- 3 Characteristics and Capabilities of a Successful Supplier: A Conceptual Model -- 3.1 Introduction -- 3.2 Supply Chain Management in the Twenty-First Century -- 3.2.1 History and Development -- 3.2.2 Creation Era -- 3.2.3 Integration Era.
3.2.4 Globalization Era -- 3.2.5 Role of a Supplier in the Supply Chain -- 3.3 Supplier Selection Criteria -- 3.4 Importance of Supplier Selection Criteria -- 3.4.1 Overall Price/Cost Performance -- 3.4.2 Quality of the Product -- 3.4.3 Service Performance -- 3.4.4 Supplier's Profile -- 3.4.5 Bringing It Together -- 3.5 Emerging Factors in Supplier Selection Criteria -- 3.5.1 Communication Skills -- 3.5.2 Human Capital -- 3.5.3 Information Technology (IT) -- 3.5.4 Strategic Commitment -- 3.6 Supplier Selection in Automotive Industry -- 3.6.1 Characteristics of a First Tier Supplier in the Automotive Industry -- 3.6.2 Application of the Supplier Selection Model to Automotive Industry -- 3.6.3 Impact of Communication Skills on the Automotive Industry -- 3.6.4 Impact of Human Capital on Automotive Industry -- 3.6.5 Impact of Information Technology on the Automotive Industry -- 3.6.6 Impact of Strategic Commitment on Automotive Industry -- 3.7 Implication for Supplier Selection in the Post-COVID Era -- 3.8 Conclusion -- Appendix 1 -- References -- Part III Understanding Supply Chain Dynamics - Modeling-Based Empirical Solutions -- 4 Sustainable Outcomes Through the Structured Forward Supply Chain: A System Dynamic Approach -- 4.1 Introduction -- 4.2 Research Questions and Objectives -- 4.3 Literature Review -- 4.3.1 Sustainability -- 4.3.2 Economic Activities in Poultry Farming -- 4.3.3 Financial Profitability -- 4.3.4 Value Addition -- 4.3.5 Sales and Cost of Goods -- 4.4 Social Activities in Poultry Farming -- 4.4.1 Employment Creation -- 4.4.2 Poverty Reduction -- 4.4.3 Create Self-Employed Young Entrepreneurs -- 4.4.4 Creating New Ventures and Family Business Creation -- 4.4.5 Social Welfare and Care -- 4.4.6 Sustainability with Economic and Social Benefits -- 4.4.7 Supply Chain Theory and Models -- 4.4.8 Poultry Forward Supply Chain (FSC). 4.5 Methodology -- 4.5.1 Causal Model -- 4.5.2 Stock and Flow Model for Simulation (Quantitative) -- 4.6 Results -- 4.6.1 Parent Chicks and Mature Parent -- 4.6.2 Day-Old Chicks, Middlemen, Farmers, and Broiler Chicken -- 4.6.3 Forward Supply Chain and Employment -- 4.7 Reliability and Validity of the Model -- 4.7.1 Model Reliability -- 4.7.2 Model Validity -- 4.7.3 Boundary Adequacy -- 4.7.4 Structure Verification -- 4.7.5 Dimensional Consistency -- 4.7.6 Extreme Condition Tests -- 4.8 Discussions of Results -- 4.9 Sustainable Poultry Production -- 4.9.1 Economic Activities in Poultry Process -- 4.9.2 Social Activities in Poultry Process -- 4.9.3 Post-COVID Implications for Poultry Supply Chains -- 4.10 Conclusions -- References -- 5 Environmental Voluntary Programs in the Transport Industry in the Post-COVID Situation: The French Experience -- 5.1 Introduction -- 5.2 Relevance of the Transportation and Logistics Sector in CO2 Emissions: Environmental Mandatory and Voluntary Programs -- 5.3 Framing Transport Organization's Behaviors in Environmental Programs: The Neo-Institutional Theory Perspective -- 5.4 Designing a Sustainable Transportation Policy in France: The Expected Contribution of the EVE Environmental Voluntary Program -- 5.4.1 Designing a Sustainable Transportation Policy in France -- 5.4.2 The French EVE Environmental Voluntary Program -- 5.5 A Preliminary SD Model to Support the Design and Implementation of a Sustainable Transportation Policy in France -- 5.5.1 The Research Approach Used to Build the System Dynamics Model -- 5.5.2 Main Feedback Loops -- 5.5.3 The Preliminary Stock and Flow Structure -- 5.5.4 Post-COVID Implications for the Transport and Logistics Sector of France? -- 5.6 Conclusions -- References -- 6 Waste Processing Scenarios to Support Sustainable Environmental Development Using System Dynamics -- 6.1 Introduction. 6.2 Literature Review -- 6.2.1 Waste -- 6.2.2 Impact of Covid-19 on Garbage Buildup -- 6.3 Methodology -- 6.4 Result and Discussion -- 6.4.1 System Understanding and Causal Loop Diagram (CLD) Development -- 6.4.2 Stock and Flow Diagram (SFD) Development -- 6.4.3 Model Validation -- 6.4.4 Scenario -- 6.5 Implications for Post-Covid Waste Management Supply Chains -- 6.6 Conclusion and Further Research -- References -- 7 Multi-criteria Analysis of Disruption Risks for Supply Chains Due to Pandemics -- 7.1 Introduction -- 7.2 Literature Review -- 7.3 Methods -- 7.3.1 Analytic Hierarchy Process -- 7.3.2 Technique of Order Preference by Similarity to Ideal Solution -- 7.4 Case Study -- 7.5 Results and Discussion -- 7.5.1 Results -- 7.5.2 Implications for Supply Chain Managers -- 7.5.3 Post-COVID-19 Implications for Supply Chains -- 7.6 Conclusions -- References -- 8 A Review of Supply Chain Management Practices: The Case of Botswana State-Owned Enterprises (SOE) -- 8.1 Introduction -- 8.2 Supply Chain Management (SCM) -- 8.3 Africa and COVID-19 Pandemic -- 8.3.1 COVID-19 Impact in Africa -- 8.3.2 Botswana -- 8.4 Supple Chain Management and COVID-19 -- 8.4.1 Covid and Food Chain Supply -- 8.4.2 Covid and Meat Processing -- 8.4.3 Health Care Supply Chains and Covid -- 8.4.4 Covid and Essential Workers -- 8.4.5 Unemployment During the Pandemic -- 8.5 Supply Chain Management Practices -- 8.6 Implementing SCM Strategy in Botswana During COVID -- 8.6.1 Relationship Management in Botswana State Owned Enterprises -- 8.7 Implications for Supply Chain Management -- References -- 9 Collaboration Model Between Buyer and Supplier: An Empirical Assessment of Indonesian Pharmaceutical Industry -- 9.1 Introduction -- 9.2 Supply Chain Management in the Pharmaceutical Industry -- 9.2.1 Supply Chain for Medicines in Indonesia -- 9.3 Methodology. 9.3.1 Unit of Analysis, Population, and Research Sample -- 9.3.2 Data Collection Procedure -- 9.3.3 Measurements -- 9.3.4 Data Analysis -- 9.4 Results -- 9.4.1 Assessment of the Measurement -- 9.4.2 Hypotheses Testing -- 9.4.3 Non-Nested Model Comparison -- 9.5 Discussion -- 9.5.1 Implications for Theory -- 9.5.2 Implications for Practice -- 9.5.3 Post-COVID Implications for Supply Chains in Pharmaceutical Company -- 9.6 Conclusion -- Appendix -- Loadings and Reliability (Cronbach's Alpha) -- References -- Thematic Bibliography -- Theme 1: Understanding Supply Chain Dynamics-Theoretical Perspectives -- References for Theme 1 -- Theme 2: Understanding Supply Chain Dynamics-Modeling-Based Empirical Solutions -- References for Theme 2 -- Index. |
| Record Nr. | UNINA-9910616210303321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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