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Business Layer: An Enterprise Approach for Workflow Engine and Record Management Systems Integration

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Enterprise Information Systems (ICEIS 2019)

Abstract

Records management systems support organization in reaching business benefits when properly aligned with business processes. This paper frames records management in business process management by identifying the role records management plays in business. This research proposes Business Layer a solution that replaces a records management system workflow module by an open source solution, composed of an enterprise service bus and two workflow engines, whose capabilities are accessed through a single API. The business layer acts as the back end for the workflow module and allows it to communicate to several workflow engines through a single REST API. The API is develop in the WSO2 Enterprise Integrator ESB profile, where for each identified functionality, message transformation and forwarding integration flows are produced. The results show that the business layer is a flexible and scalable solution to the workflow modules. This paper supports that Records Management enables the automation of the document management, along with the management, monitoring and preservation of documents, increasing the efficiency of business activities.

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Acknowledgements

The authors express their gratitude to Gfi Portugal, mainly João Portugal and Anquetil Neves for all the help and for the opportunity provided in making the research for this paper.

This work was supported by national funds through Fundação para a Ciência e a Tecnologia (FCT) with reference UID/CEC/50021/2019 and by the European Commission program H2020 under the grant agreement 822404 (project QualiChain).

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Correspondence to André Vasconcelos .

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Pires, J., Vasconcelos, A., Borbinha, J. (2020). Business Layer: An Enterprise Approach for Workflow Engine and Record Management Systems Integration. In: Filipe, J., Śmiałek, M., Brodsky, A., Hammoudi, S. (eds) Enterprise Information Systems. ICEIS 2019. Lecture Notes in Business Information Processing, vol 378. Springer, Cham. https://doi.org/10.1007/978-3-030-40783-4_8

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  • DOI: https://doi.org/10.1007/978-3-030-40783-4_8

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