Abstract
To capture knowledge workers’ tacit knowledge, while they are performing their work, we consider the use of an ad-hoc workflow system that does not leverage on any predefined model. To avoid the noisy divergence of ad-hoc executions of business processes, we propose a recommendation algorithm that promotes convergent behavior through a goal-driven strategy based on data instead of activity control flow.
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Martinho, D., Silva, A.R. (2012). A Recommendation Algorithm to Capture End-Users’ Tacit Knowledge. In: Barros, A., Gal, A., Kindler, E. (eds) Business Process Management. BPM 2012. Lecture Notes in Computer Science, vol 7481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32885-5_17
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DOI: https://doi.org/10.1007/978-3-642-32885-5_17
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