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A Dataflow Perspective for Business Process Integration

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Published:09 October 2014Publication History
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Abstract

Business process integration has become prevalent as business increasingly crosses organizational boundaries. To address the issue of protecting organizations’ competitive knowledge and private information while also enabling business-to-business (B2B) collaboration, past research has focused mainly on customized public and private process design, as well as structural correctness of the integrated workflow. However, a dataflow perspective is important for business process integration. This article presents a data-flow perspective using workflow management and mathematical techniques to address data exchange problems in independent multistakeholder business process integration in dynamic circumstances. The research is conducted following a design science paradigm. We build artifacts that include interorganizational workflow concepts, a workflow model, and a public dataset calculation method. The use of the proposed artifacts is illustrated by applying them to a real-world case in the Shenzhen (Chaiwan) port. The utility of the artifacts is evaluated through interviews with practitioners in industry. We conclude that this research complements the control-flow perspective in the interorganizational workflow management area and also contributes to B2B information-sharing literature; further, the dataflow formalism can help practitioners to formally provide the right data at the right time in dynamic circumstances.

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            cover image ACM Transactions on Management Information Systems
            ACM Transactions on Management Information Systems  Volume 5, Issue 4
            Special Issue on Business Process Intelligence
            March 2015
            236 pages
            ISSN:2158-656X
            EISSN:2158-6578
            DOI:10.1145/2677016
            Issue’s Table of Contents

            Copyright © 2014 ACM

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            Publication History

            • Published: 9 October 2014
            • Accepted: 1 April 2014
            • Revised: 1 November 2013
            • Received: 1 May 2013
            Published in tmis Volume 5, Issue 4

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