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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
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
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
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
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
Loshin, D.: Master Data Management. Morgan Kaufman, Burlington (2009)
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
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
Otto. B., Hüner, K.M.: Functional reference architecture for corporate master data management (2009)
White, A., Radcliffe, J.: Four Dimensions of MDM: Understanding the Complexity. CT, USA, Stanford (2007)
Schemm, J.: Zwischenbetriebliches Stammdatenmanagement. Springer, Heidelberg. https://doi.org/10.1007/978-3-540-89030-0
Swan, M.: Blockchain: Blueprint for a New Economy, 1st ed. O’Reilly Media, Sebastopol (2015)
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
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
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
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
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
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
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
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
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
Lohmer, J., Ribeiro da Silva, E., Lasch, R.: Blockchain technology in operations & supply chain management: a content analysis. Logistics Res. (2021)
Redman, T.: Data quality for the information age. Artech House, Boston (1996)
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
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
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
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
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 IFIP International Federation for Information Processing
About this paper
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)