Analyzing the Application of Business Process Reengineering to Improve Business Intelligence Management Using a Neuro-Fuzzy Inference System

سال انتشار: 1396
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 418

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شناسه ملی سند علمی:

COMCONF05_359

تاریخ نمایه سازی: 21 اردیبهشت 1397

چکیده مقاله:

One of the most important reasons why organizations differ from one another is the degree to which information technology is utilized by them in organizational activities. In the current study, for the first time, an adaptive neuro-fuzzy inference system was developed to analyze the application of business process re-engineering (BPR) to improve business intelligence management in electronic business (i.e., e-Business), which was called BI.BPR+ANFIS. In fact, the subject matter of this study could be the ambiguity and fatigue of decision makers in analyzing the application of BPR to improve business intelligence management due to the combination of different methods for analyzing the application of BPR to improve business intelligence management. The process of designing a neuro-fuzzy inference system, the tool for determining the variables of the decision model, and its validity and reliability were scrutinized. Finally, using the outputs of business processes reengineering in business intelligence using the neuro-fuzzy decision support (BI.BPR+ANFIS) system, the status of analyzing the application of BPR to improve business intelligence management could be investigated based on variables such as: the status of the IT service strategy stage in business intelligence management, the status of IT services design stage in business intelligence management, the status of IT service transfer stage in business intelligence management, the status of IT service operation stage in business intelligence management, and the status of IT service continual improvement stage in business intelligence management. In actual fact, the final difference between the outputs of the neuro-fuzzy inference system and the mean of experts’ opinions was equal to 0.065, so it was not significant

نویسندگان

Majid Kashkouli

Computer and Communication Networks Engineering (CCNE) Department of Electronics and Telecommunications at politecnico di torino (Italy)

Safa Siavashpouri

Information Technology engineering, Department of computer Engineering and information technology, Payame Noor University, Ahvaz, Khuzestan, Iran