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Adaptive Workflow Design Based on Blockchain

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Extending the Boundaries of Design Science Theory and Practice (DESRIST 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11491))

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Abstract

Increasingly, organizational processes have become more complex. There is a need for the design of workflows to focus on how organizations adapt to emergent processes while balancing the need for decentralization and centralization goal. The advancement in new technologies especially blockchain provides organizations with the opportunity to achieve the goal. Using blockchain technology (i.e. smart contract and blocks of specified consensus for deferred action), we leverage the theory of deferred action and a coordination framework to conceptually design a workflow management system that addresses organizational emergence (e-WfMS). Our artifact helps managers to predict and store the impact of deferred actions. We evaluated the effectiveness of our system against a complex adaptive system for utility assessment.

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Authors and Affiliations

  1. Information Systems Department, VCOBE, University of Texas Rio Grande Valley, Edinburg, TX, 78539, USA

    Daniel Narh Treku & Jun Sun

Authors
  1. Daniel Narh Treku
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  2. Jun Sun
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Corresponding author

Correspondence to Daniel Narh Treku .

Editor information

Editors and Affiliations

  1. Foisie Business School, Worcester Polytechnic Institute, Worcester, MA, USA

    Bengisu Tulu

  2. Foisie Business School, Worcester Polytechnic Institute, Worcester, MA, USA

    Soussan Djamasbi

  3. Eller College of Management, University of Arizona, Tucson, AZ, USA

    Gondy Leroy

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Treku, D.N., Sun, J. (2019). Adaptive Workflow Design Based on Blockchain. In: Tulu, B., Djamasbi, S., Leroy, G. (eds) Extending the Boundaries of Design Science Theory and Practice. DESRIST 2019. Lecture Notes in Computer Science(), vol 11491. Springer, Cham. https://doi.org/10.1007/978-3-030-19504-5_19

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  • DOI: https://doi.org/10.1007/978-3-030-19504-5_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19503-8

  • Online ISBN: 978-3-030-19504-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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