Competency Driven Resource Evaluation Method for Business Process Intelligence
| Autor: | Mohammad Hijji, Dhanapal Durai Dominic, Abid Sohail, Muhammad Arif Butt |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Process management
business.industry Business process Computer science Process (engineering) Competitive advantage Preference Computer Science Applications Task (project management) Biomaterials Resource (project management) Mechanics of Materials Modeling and Simulation Electrical and Electronic Engineering Human resources business Competence (human resources) |
| Zdroj: | Computers, Materials & Continua. 69:1141-1157 |
| ISSN: | 1546-2226 |
| DOI: | 10.32604/cmc.2021.018023 |
| Popis: | Enterprises are continuously aiming at improving the execution of processes to achieve a competitive edge. One of the established ways of improving process performance is to assign the most appropriate resources to each task of the process. However, evaluations of business process improvement approaches have established that a method that can guide decision-makers to identify the most appropriate resources for a task of process improvement in a structured way, is missing. It is because the relationship between resources and tasks is less understood and advancement in business process intelligence is also ignored. To address this problem an integrated resource classification framework is presenting that identifies competence, suitability, and preference as the relationship of task with resources. But, only the competence relationship of human resources with a task is presented in this research as a resource competence model. Furthermore, the competency calculation method is presented as a user guider layer for business process intelligence-based resource competence evaluation. The computed capabilities serve as a basic input for choosing the most appropriate resources for each task of the process. Applicability of method is illustrated through a heathcare case study. © 2021 Tech Science Press. All rights reserved. |
| Databáze: | OpenAIRE |
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