On Computing the Suitability of Non-human Resources for Business Process Analysis
Source abstract
Abstract
Business process improvement is a systematic approach used by several organizations to continuously improve their quality of service. Integral to that is analyzing the current performance of each task of the process and assigning the most appropriate resources to each task. In continuation of our previous work, we categorize resources into human and non-human resources. For instance, in the healthcare domain, human resources include doctors, nurses, and other associated staff responsible for the execution of healthcare activities; whereas the non-human resources include surgical and other equipment needed for execution. In this study, we contend that the two types of resources (human and non-human) have a different impact on the process performance, so their suitability should be measured differently. However, no work has been done to evaluate the suitability of non-human resources for the tasks of a process. Consequently, it becomes difficult to identify and subsequently overcome the inefficiencies caused by the non-human resources to the task. To address this problem, we present a three-step method to compute a suitability score of non-human resources for the task. As an evaluation of the proposed method, a healthcare case study is used to illustrate the applicability of the proposed method. Furthermore, we performed a controlled experiment to evaluate the usability of the proposed method. The encouraging response shows the usefulness of the proposed method.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Business Process Modeling and Analysis · Service-Oriented Architecture and Web Services · Information Technology Governance and Strategy
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (30)
Show source-provided references
1. Business process management: A comprehensive survey10.1155/2013/507984 ↗
2. Weske · Business Process Management SE-7 · 2012 · 333
3. Business process continuous improvement system based on workflow mining technology
4. Organizational management in workflow applications–-issues and perspectives10.1023/B:ITEM.0000031582.55219.2b ↗
5. A unified framework for business process intelligence
6. Business process intelligence10.1016/j.compind.2003.10.007 ↗
7. Process-driven management information systems combining data warehouses and workflow technology
8. A Process warehouse based resource suitability evaluation method for business process improvement
9. M. K. Shahzad, “Improving business processes using process-oriented data warehouse,” Ph.D. dissertation, KTH Royal Institute of Technology, KTH Sweden, 2012.
10. A. Sohail, “Process warehouse based resource evaluation approach for business process analysis,” Ph.D. dissertation, Universiti Teknology PETRONAS, UTP, Malaysia, 2015.
11. Business process analysis: A process warehouse based resource preference evaluation method10.1504/IJBIS.2016.074255 ↗
12. A process warehouse based resource performance evaluation method for business processes improvement
13. A task operation model for resource allocation optimization in business process management10.1109/TSMCA.2012.2187889 ↗
14. Modelling complex resource requirements in business process management systems
15. A process warehouse based resource suitability evaluation method for business process improvement
16. A method to enable ability-based human resource allocation in business process management systems
17. The theory of planned behavior10.1016/0749-5978(91)90020-T ↗
18. Incorporating structural improvement into resource allocation for business process execution planning10.1002/cpe.2855 ↗
19. An ontology-based competency model for workflow activity assignment policies10.1108/13673270810913630 ↗
20. Kumar · Business Process Management · 2013 · 23510.1007/978-3-642-40176-3_20 ↗
21. O. M. G. OMG, “Common warehouse metamodel (CWM) specification,” 2003. [Online]. https://www.omg.org/spec/CWM/1.1/PD.
22. Bizagi, “Business process management (BPM) solutions. [Online]. Available: http://www.bizagi.com/.
23. Dimensions of business processes quality (QoBP)
24. Loucopoulos · Modelling and Quality in Requirements Engineering, Essays Dedicated to Martin Glinz on the Occasion of His 60th Birthday · 2012 · 61
25. Identifying game processes based on private working sets10.32604/cmc.2020.010309 ↗
26. PLG: A framework for the generation of business process models and their execution logs
27. Usage and perceived impact of data warehouses: A study in Korean financial companies10.1142/S0219622006001927 ↗
28. F. D. Davis, “A technology acceptance model for empirically testing new end-user information systems: Theory and results,” Ph.D. dissertation, Massachusetts Institute of Technology, USA, 1985.
29. Information systems success: The quest for the dependent variable10.1287/isre.3.1.60 ↗
30. An empirical investigation of the factors affecting data warehousing success10.2307/3250957 ↗