International Journal of Nonlinear Analysis and Applications

A study on the effect of business process reengineering on the information technology management improvement in knowledge-based IT organizations

Document Type : Research Paper

Authors

Department of Information Technology Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran

Abstract

The present study aimed to investigate the effect of business process reengineering on information technology management improvement in knowledge-based IT organizations according to statistical analysis methodology in SPSS. The statistical population consisted of two general groups, first, knowledgeable professors, and second, ITIL experts, or similar positions in knowledge-based IT organizations. After distributing 100 questionnaires, the sample size of the research was equal to 96 available and cooperative experts who were collected by a combination of two methods, namely non-probability purposive (judgmental) sampling, and snowball sampling, in the spring of 2019. According to the important result of the study "Investigating the Effect of business process Reengineering on the promotion of ITM", since the slope of the regression line was the correlation coefficient sign, there was a positive significant relationship between IT design process reengineering (X2) and IT transfer process reengineering (X3) variables because the statistical correlation coefficient between them was calculated to be 0.913, and there was a statistical correlation coefficient of 0.778 between the IT strategy process reengineering (X1) and continuous IT improvement process reengineering (X5), and a correlation coefficient of 0.836 between the IT design process reengineering (X2) and the IT strategy process reengineering (X1), and the correlation coefficient equal to 0.838 between the IT operation process reengineering (X4), and IT transfer processes reengineering (X3). The impact of business process reengineering on IT management improvement can be comprehensively evaluated due to the high correlation between research variables and indices.

Keywords

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International Journal of Nonlinear Analysis and Applications
Volume 13, Issue 2
July 2022
Pages 2639-2650
  • Receive Date: 14 November 2021
  • Revise Date: 29 December 2021
  • Accept Date: 23 February 2022