Skip to main content
SpringerLink
Log in

Blockchain-Based Master Data Management in Supply Chains: A Design Science Study

  • Conference paper
  • First Online:
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems (APMS 2021)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 633))

Abstract

Master data management is an essential task for organizations and even more critical when collaborations are pursued. Using centralized platforms to manage master data across business partners is straightforward but also entails risks. Besides the dependency on intermediaries, data sovereignty is limited and a single point of failure persists. With new decentralization trends and the uprising blockchain technology, there is potential for optimized and sovereign master data management across entities. We conduct a design science study to assess blockchain technology’s suitability to store and share master data in supply chains. The developed artifact was quantitatively evaluated, focusing on costs and transaction time to further contribute insights to blockchain technology’s economic suitability. The Ethereum-based application was implemented in evan.network and Ropsten test networks. The results substantiate the previous theoretical statements in the literature with reliable numerical data, which indicate that permissioned blockchain networks are more scalable and low-cost than permissionless networks. We also highlight further research opportunities.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Vanpoucke, E., Boyer, K.K., Vereecke, A.: Supply chain information flow strategies: an empirical taxonomy. Int. J. Oper. Prod. Manage. 29, 1213–1241 (2009). https://doi.org/10.1108/01443570911005974

    Article  Google Scholar 

  2. Knolmayer, G.F., Röthlin, M.: Quality of material master data and its effect on the usefulness of distributed ERP systems. In: Roddick, J.F., et al. (eds.) ER 2006. LNCS, vol. 4231, pp. 362–371. Springer, Heidelberg (2006). https://doi.org/10.1007/11908883_43

    Chapter  Google Scholar 

  3. Vilminko-Heikkinen, R., Pekkola, S.: Master data management and its organizational implementation: an ethnographical study within the public sector. J. Enterp. Inf. Manage. 30, 454–475 (2017). https://doi.org/10.1108/JEIM-07-2015-0070

    Article  Google Scholar 

  4. Silvola, R., Jaaskelainen, O., Kropsu-Vehkapera, H., Haapasalo, H.: Managing one master data - challenges and preconditions. Ind. Manage. Data Syst. 111, 146–162 (2011). https://doi.org/10.1108/02635571111099776

    Article  Google Scholar 

  5. Loshin, D.: Master Data Management. Morgan Kaufman, Burlington (2009)

    MATH  Google Scholar 

  6. Lohmer, J., Lasch, R.: Blockchain in operations management and manufacturing: potential and barriers. Comput. Ind. Eng. 149, 106789 (2020). https://doi.org/10.1016/j.cie.2020.106789

    Article  Google Scholar 

  7. Banerjee, A.: Blockchain technology: supply chain insights from ERP. In: Advances in Computers, pp 69–98. Elsevier (2018). https://doi.org/10.1016/bs.adcom.2018.03.007

  8. Otto. B., Hüner, K.M.: Functional reference architecture for corporate master data management (2009)

    Google Scholar 

  9. White, A., Radcliffe, J.: Four Dimensions of MDM: Understanding the Complexity. CT, USA, Stanford (2007)

    Google Scholar 

  10. Schemm, J.: Zwischenbetriebliches Stammdatenmanagement. Springer, Heidelberg. https://doi.org/10.1007/978-3-540-89030-0

  11. Swan, M.: Blockchain: Blueprint for a New Economy, 1st ed. O’Reilly Media, Sebastopol (2015)

    Google Scholar 

  12. Kurpjuweit, S., Schmidt, C.G., Klöckner, M., Wagner, S.M.: Blockchain in additive manufacturing and its impact on supply chains. J. Bus. Logist. 1–25 (2019). https://doi.org/10.1111/jbl.12231

  13. Babich, V., Hilary, G.: Distributed ledgers and operations: what operations management researchers should know about blockchain technology. Manuf. Serv. Oper. Manage. 22, 223–240 (2020). https://doi.org/10.1287/msom.2018.0752

    Article  Google Scholar 

  14. Jain, G., Singh, H., Chaturvedi, K.R., Rakesh, S.: Blockchain in logistics industry: in fizz customer trust or not. J. Enterp. Inf. Manage. 33, 541–558 (2020). https://doi.org/10.1108/JEIM-06-2018-0142

    Article  Google Scholar 

  15. Wang, Z., Zheng, Z., Jiang, W., Tang, S.: Blockchain-enabled data sharing in supply chains: model, operationalization, and tutorial. Prod. Oper. Manage. 1–21 (2021). https://doi.org/10.1111/poms.13356

  16. Casino, F., Dasaklis, T.K., Patsakis, C.: A systematic literature review of blockchain-based applications: current status, classification and open issues. Telematics Inf. 36, 55–81 (2019). https://doi.org/10.1016/j.tele.2018.11.006

    Article  Google Scholar 

  17. Lohmer, J., Bugert, N., Lasch, R.: Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: an agent-based simulation study. Int. J. Prod. Econ. 228, 107882 (2020). https://doi.org/10.1016/j.ijpe.2020.107882

    Article  Google Scholar 

  18. Kamble, S., Gunasekaran, A., Sharma, R.: Modeling the blockchain enabled traceability in agriculture supply chain. Int. J. Inf. Manage. 52, 1–16 (2020). https://doi.org/10.1016/j.ijinfomgt.2019.05.023

    Article  Google Scholar 

  19. Röck, D., Sternberg, H.S., Hofmann, E.: Distributed ledger technology in supply chains: a transaction cost perspective. Int. J. Prod. Res. 58, 2124–2141 (2020). https://doi.org/10.1080/00207543.2019.1657247

    Article  Google Scholar 

  20. Wang, Y., Singgih, M., Wang, J., Rit, M.: Making sense of blockchain technology: how will it transform supply chains? Int. J. Prod. Econ. 211, 221–236 (2019). https://doi.org/10.1016/j.ijpe.2019.02.002

    Article  Google Scholar 

  21. Lohmer, J., Ribeiro da Silva, E., Lasch, R.: Blockchain technology in operations & supply chain management: a content analysis. Logistics Res. (2021)

    Google Scholar 

  22. Redman, T.: Data quality for the information age. Artech House, Boston (1996)

    Google Scholar 

  23. Wang, R.Y., Strong, D.M.: Beyond accuracy: what data quality means to data consumers. J. Manage. Inf. Syst. 12, 5–34 (1996). https://doi.org/10.1080/07421222.1996.11518099

    Article  Google Scholar 

  24. Hevner, A.R., March, S.T., Park, J., Ram, S.: Design science in information systems research. MIS Q. 28, 75 (2004). https://doi.org/10.2307/25148625

    Article  Google Scholar 

  25. Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S.: A design science research methodology for information systems research. J. Manage. Inf. Syst. 24, 45–77 (2007). https://doi.org/10.2753/MIS0742-1222240302

    Article  Google Scholar 

  26. Zhou, Q., Huang, H., Zheng, Z., Bian, J.: Solutions to scalability of blockchain: a survey. IEEE Access 8, 16440–16455 (2020). https://doi.org/10.1109/aCCESS.2020.2967218

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Chair of Business Management, esp. Logistics, Technische Universität Dresden, Dresden, Germany

    Jacob Lohmer & Rainer Lasch

  2. Chair of Business Informatics, esp. Intelligent Systems and Services, Technische Universität Dresden, Dresden, Germany

    Lasse Bohlen

Authors
  1. Jacob Lohmer
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Lasse Bohlen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Rainer Lasch
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jacob Lohmer .

Editor information

Editors and Affiliations

  1. IMT Atlantique, Nantes, France

    Alexandre Dolgui

  2. Centrale Nantes, Nantes, France

    Alain Bernard

  3. IMT Atlantique, Nantes, France

    David Lemoine

  4. ZF Friedrichshafen AG, Friedrichshafen, Germany

    Gregor von Cieminski

  5. Tecnológico de Monterrey, Mexico City, Mexico

    David Romero

Rights and permissions

Reprints and permissions

Copyright information

© 2021 IFIP International Federation for Information Processing

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Lohmer, J., Bohlen, L., Lasch, R. (2021). Blockchain-Based Master Data Management in Supply Chains: A Design Science Study. In: Dolgui, A., Bernard, A., Lemoine, D., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 633. Springer, Cham. https://doi.org/10.1007/978-3-030-85910-7_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-85910-7_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85909-1

  • Online ISBN: 978-3-030-85910-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Societies and partnerships

Search

Navigation