University of Bamberg
open search form
You are here

Faculty of Social Sciences, Economics, and Business Administration

Chair of Supply Chain Management

  1.  University of bamberg
  2. Faculties
  3. Social Sciences, Economics and Business Administration
  4. Subjects and Institutes
  5. Business Administration
  6. Chairs
  7. Chair of Supply Chain Management
  8. Research
  9. Research projects
  10. Fraunhofer-Forschungsprojekt 2

Data-driven and alliance-based Supply Chain Management (dSCM)

Motivation and background

In the face of increasing uncertainties in supply chains and economic megatrends such as digitalization, servitization and growing demands for sustainability and circularity, existing models, methods and tools in Supply Chain Management (SCM) are reaching their limits. Events such as the COVID-19 pandemic and the impact of the war in Ukraine demonstrate that traditional approaches are no longer sufficient to effectively manage such disruptions.

Both academia and industry are calling for a fundamental shift in supply chain management paradigms. Previous research has identified key requirements for future SCM models, including enhanced structural flexibility and transformational capabilities to meet emerging challenges. A frequently discussed solution is the “digital dominant paradigm” that leverages technologies such as the Internet of Things (IoT), artificial intelligence (AI), and federated data ecosystems.

However, significant gaps remain regarding the identification of additional technological components, the optimal interaction of these components, and the governance structures required for a data-driven and alliance-based SCM of the future (dSCM). This project aims to address these research gaps and provide comprehensive answers to these pressing questions.

Research design

This project aims to develop a detailed conceptualization of future Data Driven Supply Chain Management (dSCM) through an iterative and interdisciplinary approach. The results will be targeted at the manufacturing sector in Germany, without restrictions regarding industries, company sizes or positions within the value chain.

The theoretical foundations for addressing the research questions include theories of socio-technical and socio-ecological systems, stakeholder theory and ecosystem theory. During the project, additional theoretical frameworks will be explored and a final selection of foundational theories will be made.

Expected results

The project aims to contribute to scientific progress by reviewing and, where appropriate, extending existing theories in the context of ongoing economic digitalization. The results will be shared with the academic community through publications in journals and presentations at conferences.

In addition, the project aims to develop practical recommendations for companies undergoing transformation. Ideally, these recommendations will be translated into a consulting tool to be used by the Fraunhofer Institute for Integrated Circuits.

Publications

Goertler, T., Papert, M., Fischer, I., Prockl, G., Werner, N., Mueller, A. (2024), “Supporting Logistics Flexibility with Digital Platforms: Insights from a Case Study within the German Manufacturing Industry“, 36th Conference of the Nordic Logistic Research Network (NOFOMA 2024): June 13 – 14, 2024, Stockholm, Sweden.

Goertler, T., Papert, M., Fischer, I., Reich, D., Werner, N. (2024), “I Can See Clearly Now: A Bibliometric Exploration of Digital Platforms in Supply Chain Management“, 57th Hawaii International Conference on System Sciences (HICSS 57): January 3 – 6, 2024, Honolulu, HI, USA

Goertler, T., Papert, M., Schmidt, M. (2023), “Designing Digital Platforms: A Synthetization of Relevant Design Topics for Business Models from a Literature Review”, 56th Hawaii International Conference on System Sciences (HICSS 56): January 3 – 6, 2023, pp. 4515-4524, Maui, HI, USA.

Goertler, T., Papert, M., Fischer, I., Schmidt, M. (2023), “Designing Digital Platform Ecosystems: A Synthetization of Relevant Design Topics from a Literature Review“, 35th Conference of the Nordic Logistic Research Network (NOFOMA 2023): June 14 – 16, 2023, Espoo, Finland.