Iranian Journal of Information Processing and Management

Iranian Journal of Information Processing and Management

Analyzing Process Execution Time for Evidence-Based Policy Making in Information Systems using Process Mining

Document Type : Original Article

Author
Mohsen Mohammadi
Esfarayen University of Technology; Esfarayen, Iran
10.22034/jipm.2024.711526
Abstract
Enterprises employ information systems to execute their day-to-day business operations. To enhance their competitive edge through efficient process management, organizations implement business policies. This paper aims to propose a method that combines two approaches: evidence-based policymaking and process mining, to facilitate process reengineering. Many evidence-based approaches based on process mining techniques have been conducted to evaluate process performance through measurements. However, these approaches mainly concentrate on individual process instances, whereas assessments of Business Process Redesign (BPR) primarily employ comprehensive performance measurements, such as overall process performance. This study suggests a method for analyzing process execution time, including Cycle time, Lead time, and Activity time, for evidence-based policymaking in information systems using process mining. Several Key Performance Indicators (KPIs) have been defined for the evidence-based management of business processes to pinpoint process bottlenecks. The results demonstrate that evidence from process mining can be utilized to validate the effectiveness of existing policies.
Keywords
evidence-based approach
process mining
process performance
Key Performance Indicators
execution time
Subjects
 
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  • Receive Date 02 September 2023
  • Revise Date 18 October 2023
  • Accept Date 28 February 2024