Authors: Abid Sohail; P.D.D. Dominic; Khurram Shahzad
Addresses: Department of Computers and Information Sciences, Universiti Teknologi Petronas, 31750, Tronoh, Perak, Malaysia; Department of Computers Science, COMSATS Institute of Information Technology, Defence Road, off Raiwind Road, Lahore Pakistan ' Department of Computers and Information Sciences, Universiti Teknologi Petronas, 31750, Tronoh, Perak, Malaysia ' Punjab University College of Information Technology, University of the Punjab, Lahore, Pakistan
Abstract: In a working environment, resources are commonly shared between tasks, and sometime multiple resources are necessary to commence a single task, this scenario makes the resource utilisation complex. Existing studies on business process analysis and evaluations widely focused on competence of resource to measure work performance, but it is contended that the relationship of resource with task is not sufficiently understood due to not considering evaluations of all resource classes. Particularly, business intelligence-based approaches to BPI have not adequately explored this relationship. Subsequently, a set of relationships between human resources, non-human resources and tasks (named suitability, preference and competence) are presented. However, only human resources relationship with non-human resources (named preference) is presented in detail, as a resource preference model. The model bundled with the presented preference evaluation method guides users for evaluation of resources preference. The applicability of the method is illustrated through a healthcare case study. Quality of data produces is evaluated though an empirical study, that is confirming the claim of highly relevant information generation.
Keywords: business process management; BPM; workflow management; business process improvement; process warehouse; preference modelling; business process analysis; resource preference evaluation; human resources; non-human resources; healthcare management.
International Journal of Business Information Systems, 2016 Vol.21 No.2, pp.137 - 161
Received: 21 Jul 2014
Accepted: 16 Sep 2014
Published online: 20 Jan 2016 *