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Process Mining from the Organizational Perspective

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Foundations of Intelligent Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 277))

Abstract

Traditional researches on process mining mainly focus on the control-flow perspective, while less attention has been devoted to resources and their relationship in the organizational perspective of business processes. This paper gives an overview of process mining from the organizational perspective and describes the current studies on organizational mining that are generally divided into several main categories: organizational structure discovery, social network analysis (SNA), resource allocation, and role mining. Each category is elaborated in detail. Furthermore, possible research directions that may improve the efficiency of business processes are discussed. These improvements include cross-organizational mining, dynamic resource optimization, and process complexity analysis.

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Acknowledgments

This research is supported by the Natural Science Foundation of China (7101038).

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Authors and Affiliations

  1. Software School, Fudan University, 220 Handan Road, Shanghai, 200433, China

    Weidong Zhao & Xudong Zhao

Authors
  1. Weidong Zhao
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  2. Xudong Zhao
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Corresponding author

Correspondence to Weidong Zhao .

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Editors and Affiliations

  1. College of Computer and Software Engineering, Shenzhen University, Shenzhen, China

    Zhenkun Wen

  2. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China

    Tianrui Li

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Zhao, W., Zhao, X. (2014). Process Mining from the Organizational Perspective. In: Wen, Z., Li, T. (eds) Foundations of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 277. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54924-3_66

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  • DOI: https://doi.org/10.1007/978-3-642-54924-3_66

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54923-6

  • Online ISBN: 978-3-642-54924-3

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