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Semantic business process space for intelligent management of sales order business processes

Author

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  • Gunwoo Kim

    (Korea University Business School)

  • Yongmoo Suh

    (Korea University Business School)

Abstract

A company’s competitiveness relies heavily on its business processes and accurate knowledge to execute its business processes with agility and efficiency. Business Process Management (BPM) initially promised to provide the business world with suitable tools and techniques for successful BPM without help from the IT world. However, the current practice of BPM has several fundamental problems, including difficulty with automatic discovery and the integration of business processes across organizations. Understanding that the main cause of these problems lies in the lack of semantics on business process, we first define a variety of business process ontologies in order to build a semantic business process space (SBPS) for the limited area of sales order. We then explain how the SBPS satisfies the requirements for successful implementation of semantic BPM (SBPM) and demonstrate with a scenario how SBPM can be realized in the environment of SBPS. Our novel approach will reduce the time and cost necessary for the development of a new business process in a fast-changing environment and provide practitioners with useful insights into the proper implementation of the SBPM. Although our paper defines semantic business process knowledge for only a limited domain, its insights can be readily extended to other areas of business.

Suggested Citation

  • Gunwoo Kim & Yongmoo Suh, 2011. "Semantic business process space for intelligent management of sales order business processes," Information Systems Frontiers, Springer, vol. 13(4), pages 515-542, September.
    • Handle: RePEc:spr:infosf:v:13:y:2011:i:4:d:10.1007_s10796-010-9229-1
    DOI: 10.1007/s10796-010-9229-1
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    References listed on IDEAS

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    1. Edward A. Stohr & J. Leon Zhao, 2001. "Workflow Automation: Overview and Research Issues," Information Systems Frontiers, Springer, vol. 3(3), pages 281-296, September.
    2. David Bell & Sergio Cesare & Nicola Iacovelli & Mark Lycett & Antonio Merico, 2007. "A framework for deriving semantic web services," Information Systems Frontiers, Springer, vol. 9(1), pages 69-84, March.
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    Cited by:

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    3. R. Ramesh & H. Raghav Rao, 2011. "Editorial," Information Systems Frontiers, Springer, vol. 13(4), pages 451-452, September.
    4. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.

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