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Business intelligence for order fulfilment management in small and medium enterprises

Business intelligence for order fulfilment management in small and medium enterprises In this study, we investigate business intelligence (BI) tools that help a small and medium enterprise (SME) to improve its supplier order fulfilment management. Making use of the huge amount of data in its enterprise resource planning system, the company can seek opportunities for building collaborative supplier relationships to implement a just-in-time strategy. The proposed BI tools are developed to select suppliers with whom to form collaborative relationships. In addition, a BI dashboard is developed for the company to manage the cash conversion cycle of its supply chain. Developing BI tools that make use of limited information technology resources, we address the business and technical challenges of large unstructured datasets and lengthy computation time. The results show that SMEs can benefit from BI tools at an affordable cost, joining the emergent trend of deploying business analytics to make systematic innovation. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Internet Manufacturing and Services Inderscience Publishers

Business intelligence for order fulfilment management in small and medium enterprises

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1751-6048
eISSN
1751-6056
DOI
10.1504/IJIMS.2019.098231
Publisher site
See Article on Publisher Site

Abstract

In this study, we investigate business intelligence (BI) tools that help a small and medium enterprise (SME) to improve its supplier order fulfilment management. Making use of the huge amount of data in its enterprise resource planning system, the company can seek opportunities for building collaborative supplier relationships to implement a just-in-time strategy. The proposed BI tools are developed to select suppliers with whom to form collaborative relationships. In addition, a BI dashboard is developed for the company to manage the cash conversion cycle of its supply chain. Developing BI tools that make use of limited information technology resources, we address the business and technical challenges of large unstructured datasets and lengthy computation time. The results show that SMEs can benefit from BI tools at an affordable cost, joining the emergent trend of deploying business analytics to make systematic innovation.

Journal

International Journal of Internet Manufacturing and ServicesInderscience Publishers

Published: Jan 1, 2019

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