Experimental Verification on Human-Centric Network-Based Resource Allocation Approaches for Process-Aware Information Systems

Efficient allocating human resource obtains significant advantages to business operations in enterprises. Manipulating the available human resources of a business optimizes the expense of developing products and services, improves work productivity, and brings more value to the business. In the proc...

Full description

Saved in:
Bibliographic Details
Published in:IEEE access 2022, Vol.10, p.23342-23354
Main Authors: Yeon, Moon-Sook, Lee, Young-Koo, Pham, Dinh-Lam, Kim, Kwanghoon Pio
Format: Article
Language:English
Subjects:
Bipartite graph
business process management
Computer architecture
Data mining
Decision making
Human resources
human resources allocation
Human-centric network
Information systems
Organizations
process mining
process-aware information system
Resource allocation
Resource management
Social networks
Standards organizations
Task analysis
Verification
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Efficient allocating human resource obtains significant advantages to business operations in enterprises. Manipulating the available human resources of a business optimizes the expense of developing products and services, improves work productivity, and brings more value to the business. In the process of creating products and benefits in the enterprise, a network of working relationships is formed among employees in the organization. In this paper, we propose an approach to support decision-making on human resource allocation in an organization based on the human-centric network discovered from the event logs. To be more precise, the knowledge derived from human-centric networks formed through the operation phases of the information systems is used to make resource allocation strategies in the organizations. Using the appropriateness probabilities and social network metrics for allocating human resources, we clarify efficiently allocating resources based on different metrics. The system architecture and the scenarios are also described for planning human resources allocation based on these networks. Furthermore, we use real-life data set for getting experimental verification and proving the proposal. This approach will be a promising solution to support businesses effectively allocating resources in their organizations.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2022.3152778