In the context of the advancing digitalization of logistics processes, blockchain technologies are gaining in importance. Within the scope of sustainable logistics networks, they contribute to cross-stakeholder transparency and support the tracking and verification of products and processes to improve social and environmental parameters. The goal of this work is to develop a holistic management model to help users understand blockchain technologies in the context of their logistics network and to assess the mindful adoption of these technologies to specific problems. In addition, the model should enable the conclusion of expected impacts on participating actors within the logistics network with regard to social and environmental sustainability and, in a further step, provide a holistic approach to the implementation of blockchain technologies. Methodologically, a systematic literature analysis, two workshops and a case study exploration will be conducted for this purpose. Within the systematic literature analysis, 285 articles are evaluated and 53 relevant articles are synthesized. Based on the Nominal Group Technique, a first workshop with 30 experts from manufacturing companies, logistics service providers, technology companies and universities will be conducted and supplemented by a subsequent survey. In a second workshop, three use cases of blockchain technologies are analyzed with 24 experts in open and moderated group discussions. Finally, three exemplary case studies and eight expert interviews are conducted and systematically evaluated with respect to cross-case findings. The result of this thesis is a four-phase management model that guides users through the process of evaluating and implementing blockchain technologies in the context of sustainable logistics. While the first phase assesses requirements of the logistics network for general applicability of blockchain technologies, the second phase includes a model for the mindful adoption of blockchain technologies. Based on this, phase three provides a sustainability impact model to explain social and environmental impacts of individual actors involved in the logistics network. The fourth phase ultimately represents the implementation of blockchain technologies in logistics and is based on five management areas in which specific design recommendations, methods and tools are provided to enable a successful implementation. Finally, the thesis provides an outlook on a future vision and shows which changes in logistics networks can be expected due to blockchain technologies. Im Rahmen der voranschreitenden Digitalisierung von Logistikprozessen gewinnen Blockchain-Technologien zunehmend an Bedeutung. Sie leisten im Kontext nachhaltiger Logistiknetzwerke einen Beitrag zur akteursübergreifenden Transparenz und unterstützen die Nachverfolgung und Verifizierung von Produkten und Prozessen zur Verbesserung sozialer und ökologischer Parameter. Ziel dieser Arbeit ist es, ein ganzheitliches Management Modell zu entwickeln, das Anwender dabei unterstützt, Blockchain-Technologien im Kontext ihres Logistiknetzwerks zu verstehen und die achtsame Anwendbarkeit dieser Technologien für spezifische Problemstellungen zu prüfen. Zudem soll das Modell eine Ableitung der zu erwartenden Effekte auf beteiligte Akteure innerhalb des Logistiknetzwerkes hinsichtlich der sozialen und ökologischen Nachhaltigkeit ermöglichen und in einem weiteren Schritt einen ganzheitlichen Ansatz zur Implementierung von Blockchain-Technologien bereitstellen. Methodisch werden dafür eine systematische Literaturanalyse, zwei Workshops sowie eine Fallstudienuntersuchung durchgeführt. Im Rahmen der systematischen Literaturanalyse werden 285 Artikel ausgewertet und 53 relevante Artikel synthetisiert. Basierend auf der Nominal Group Technique wird ein erster Workshop mit 30 Experten von Fertigungsunternehmen, Logistikdienstleistern, Technologieunternehmen und Hochschulen durchgeführt und durch eine anschließende Befragung ergänzt. Im Rahmen eines zweiten Workshops werden drei Anwendungsfälle von Blockchain-Technologien mit 24 Experten in offenen und moderierten Gruppendiskussionen analysiert. Abschließend werden drei exemplarische Fallstudien sowie acht Experteninterviews durchgeführt und systematisch hinsichtlich fall-übergreifender Erkenntnisse ausgewertet. Das Ergebnis dieser Arbeit ist ein vierphasiges Management Modell, dass den Anwender durch den Prozess der Bewertung und Implementierung von Blockchain-Technologien im Kontext nachhaltiger Logistik führt. Während in der ersten Phase Anforderungen des Logistiknetzwerks auf generelle Eignung für Blockchain-Technologien geprüft werden, umfasst die zweite Phase ein Modell für die achtsame Adoption. Darauf aufbauend wird in Phase drei ein Modell zur Erklärung sozialer und ökologischer Effekte einzelner beteiligter Akteure des Logistiknetzwerks bereitgestellt. Die vierte Phase repräsentiert letztlich die Implementierung von Blockchain-Technologien in der Logistik und basiert auf fünf Managementbereichen, in denen gezielt Handlungsempfehlungen, Methoden und Werkzeuge bereitgestellt werden, um eine erfolgreiche Umsetzung zu ermöglichen. Abschließend gibt die Arbeit einen Ausblick auf eine zukünftige Vision und zeigt auf, welche Veränderungen in Logistiknetzwerken durch Blockchain-Technologien zu erwarten sind.

In the context of the advancing digitalization of logistics processes, blockchain technologies are gaining in importance. Within the scope of sustainable logistics networks, they contribute to cross-stakeholder transparency and support the tracking and verification of products and processes to improve social and environmental parameters. The goal of this work is to develop a holistic management model to help users understand blockchain technologies in the context of their logistics network and to assess the mindful adoption of these technologies to specific problems. In addition, the model should enable the conclusion of expected impacts on participating actors within the logistics network with regard to social and environmental sustainability and, in a further step, provide a holistic approach to the implementation of blockchain technologies. Methodologically, a systematic literature analysis, two workshops and a case study exploration will be conducted for this purpose. Within the systematic literature analysis, 285 articles are evaluated and 53 relevant articles are synthesized. Based on the Nominal Group Technique, a first workshop with 30 experts from manufacturing companies, logistics service providers, technology companies and universities will be conducted and supplemented by a subsequent survey. In a second workshop, three use cases of blockchain technologies are analyzed with 24 experts in open and moderated group discussions. Finally, three exemplary case studies and eight expert interviews are conducted and systematically evaluated with respect to cross-case findings. The result of this thesis is a four-phase management model that guides users through the process of evaluating and implementing blockchain technologies in the context of sustainable logistics. While the first phase assesses requirements of the logistics network for general applicability of blockchain technologies, the second phase includes a model for the mindful adoption of blockchain technologies. Based on this, phase three provides a sustainability impact model to explain social and environmental impacts of individual actors involved in the logistics network. The fourth phase ultimately represents the implementation of blockchain technologies in logistics and is based on five management areas in which specific design recommendations, methods and tools are provided to enable a successful implementation. Finally, the thesis provides an outlook on a future vision and shows which changes in logistics networks can be expected due to blockchain technologies.

Blockchain technology has the potential to utterly transform supply chains, streamline processes, and improve the whole of security. Manufacturers across the globe face challenges with forecasting demand, controlling inventory, and accelerating digital transformation to cater to the challenges of changing market dynamics and evolving customer expectations. Hence, blockchain should be seen as an investment in future-readiness and customer-centricity, not as an experimental technology. Utilizing Blockchain Technologies in Manufacturing and Logistics Management explores the strengths of blockchain adaptation in manufacturing industries and logistics management, which include product traceability, supply chain transparency, compliance monitoring, and auditability, and also examines the current open issues and future research trends of blockchain. Leveraging blockchain technology into a manufacturing enterprise can enhance its security and reduce the rates of systematic failures. Covering topics such as fraud detection, Industry 4.0, and security threats, this book is a ready premier reference for graduate and post-graduate students, academicians, researchers, industrialists, consultants, and entrepreneurs, as well as micro, small, and medium enterprises.

Despite advancements in cybersecurity measures, the financial sector continues to grapple with data breaches, fraud, and privacy concerns. Traditional security measures are often insufficient to combat sophisticated cyber threats, leading to financial losses, reputational damage, and regulatory non-compliance. Moreover, the rapid pace of technological change makes it challenging for organizations to keep up with emerging threats and implement effective data protection strategies. This calls for a proactive and multidisciplinary approach to address financial data security's complex and evolving landscape. Safeguarding Financial Data in the Digital Age offers a timely and comprehensive solution to the challenges faced by the financial sector in securing sensitive information. By bringing together insights from finance, cybersecurity, and technology, this book provides a holistic understanding of the threats and opportunities in financial data security. It equips academics, industry professionals, policymakers, and students with the knowledge and tools needed to enhance financial data protection measures through detailed analyses, case studies, and practical recommendations. By fostering collaboration and knowledge exchange, this book serves as a valuable resource for shaping the future of financial data security in the digital age.

Focused on the logistics and transportation operations within a supply chain, this book brings together the latest models, algorithms, and optimization possibilities. Logistics and transportation problems are examined within a sustainability perspective to offer a comprehensive assessment of environmental, social, ethical, and economic performance measures. Featured models, techniques, and algorithms may be used to construct policies on alternative transportation modes and technologies, green logistics, and incentives by the incorporation of environmental, economic, and social measures. Researchers, professionals, and graduate students in urban regional planning, logistics, transport systems, optimization, supply chain management, business administration, information science, mathematics, and industrial and systems engineering will find the real life and interdisciplinary issues presented in this book informative and useful.

The book aims to present a multi-dimensional view on the blockchain-driven supply chain management and its linkage with open innovation, digital technologies, supply chain sustainability, mapping, visibility, and resilience. It offers topic from three important themes: first, what is the architecture and design of BCSCM and how does it differ from the conventional supply chains; second, performance impacts of BCSCM; and third, implementation challenges and role of leadership. Hence, the book provides a diverse perspective on the understanding, architecture, impacts, and implementation of blockchain-driven supply chain management. It shows the importance of blockchain-driven supply chain management for contemporary organizations: how it contributes to supply chain traceability, resilience, and sustainability. The book also demonstrates as to how adoption of blockchain-driven supply chain management requires to consider intangible forms of intellectual capital (human, processes, and relationships), which is different from more traditional forms. This is a book for supply chain management practitioners, researchers, and academician who want to understand the role of blockchain in supply chain, for supply chain managers who want to be at the cutting edge by adopting the BCSCM, for those early in their careers who seek a challenging new path, and for the top-level managers of the world who have their eye on the future.