Title: An integrated enterprise resources planning framework for supply chain management using business intelligence tools

Authors: Mehrdad Nouri Koupaei; Alireza Arshadi Khamseh

Addresses: Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran ' Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran

Abstract: Nowadays, business intelligence (BI) provides historical, current, and predictive views of business operations in enterprise systems like enterprise resource planning (ERP) and mainly becoming more necessary for supply chain managers to make good decisions. BI tools support managers to assess the business environment in ways such as business process reengineering, customer relationship management, marketing research, and competitor analysis. The main purpose of paper is creating a unified framework for the application of BI in ERP systems which results in value-added supply chain management (SCM) systems. In this paper, business process system and interaction between technology and environment by applying BI in ERP have been presented. This paper is a comprehensive review of recent literature that examined the effects of BI systems on the five steps of Denolf et al.'s (2015) model. This study has five hypotheses and based on research results, all five hypotheses were confirmed. Finally, a model has been developed to determine relationship between BI (as enabler of ERP) and the implementation of supply chain management (SCM).

Keywords: business intelligence; BI; enterprise resource planning; ERP; supply chain management; SCM; smart management.

DOI: 10.1504/IJBPSCM.2017.089035

International Journal of Business Performance and Supply Chain Modelling, 2017 Vol.9 No.3, pp.202 - 214

Accepted: 02 Jan 2017
Published online: 04 Jan 2018 *

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