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Workflow-aware attention tracking to enhance collaboration management

Author

Listed:
  • Shaokun Fan

    (West Texas A&M University)

  • Lele Kang

    (Nanjing University)

  • J. Leon Zhao

    (City University of Hong Kong)

Abstract

Current Workflow Management Systems only capture the start time and end time of tasks and it is difficult for managers to track how much time is actually spent on a particular task if multiple tasks are performed concurrently. Thus, managers may have problems accurately arranging tasks and evaluating costs. In order to facilitate collaboration management in multitasking environments, we propose a workflow-aware attention tracking framework that integrates the concept of attention with workflow models. We first design the meta-model of workflow-aware attention tracking. We further derive seven rules for attention tracking in multitasking collaboration using Object Constraint Language. Based on the rules and meta-model, we develop a procedure for attention rule verification, and present an architecture for workflow-aware attention tracking systems. This research contributes to workflow management by adding attention awareness for collaboration management in multitasking environments.

Suggested Citation

  • Shaokun Fan & Lele Kang & J. Leon Zhao, 2015. "Workflow-aware attention tracking to enhance collaboration management," Information Systems Frontiers, Springer, vol. 17(6), pages 1253-1264, December.
    • Handle: RePEc:spr:infosf:v:17:y:2015:i:6:d:10.1007_s10796-015-9565-2
    DOI: 10.1007/s10796-015-9565-2
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    References listed on IDEAS

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    1. Daniel D. Zeng & J. Leon Zhao, 2005. "Effective Role Resolution in Workflow Management," INFORMS Journal on Computing, INFORMS, vol. 17(3), pages 374-387, August.
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    Cited by:

    1. Karl R. Lang & Vojislav B. Misic & Leon J. Zhao, 2015. "Special section on business process analytics," Information Systems Frontiers, Springer, vol. 17(6), pages 1191-1194, December.
    2. Rong Liu & Akhil Kumar & Juhnyoung Lee, 2022. "Multi-level Team Assignment in Social Business Processes: An Algorithm and Simulation Study," Information Systems Frontiers, Springer, vol. 24(6), pages 1949-1969, December.
    3. Amit V. Deokar & Jie Tao, 0. "OrgMiner: A Framework for Discovering User-Related Process Intelligence from Event Logs," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    4. Amit V. Deokar & Jie Tao, 2021. "OrgMiner: A Framework for Discovering User-Related Process Intelligence from Event Logs," Information Systems Frontiers, Springer, vol. 23(3), pages 753-772, June.

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