The impact of business intelligence on supply chain performance with emphasis on integration and agility–a mixed research approach

Taha Jafari, Azim Zarei, Adel Azar and Alireza Moghaddam

International Journal of Productivity and Performance Management, 2021, vol. 72, issue 5, 1445-1478

Abstract: Purpose - The paper aims to explore how business intelligence (BI), integration and agility influence supply chain performance. Design/methodology/approach - The study was performed by the exploratory sequential mixed method in two phases including meta-synthesis as a qualitative method and survey as a quantitative method. Data were collected through a survey of 369 Iranian companies across various industries. Structural equation modeling was used to test hypotheses. Findings - The results show that BI, integration and agility play an important role in achieving better supply chain performance. In the meantime, BI has the greatest impact on supply chain performance. Additionally, BI has a positive and significant effect on the integration and agility of the supply chain. The study also found that integration has a direct effect on supply chain agility. Originality/value - To the best of the authors' knowledge, the paper theoretically and empirically presents a new conceptual model of the relationship between BI, integration, agility and supply chain performance. The study helps researchers and practitioners to achieve insights into supply chain performance improvement.

Keywords: Business intelligence; Integration; Agility; Supply chain performance (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (text/html)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (application/pdf)
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eme:ijppmp:ijppm-09-2021-0511

DOI: 10.1108/IJPPM-09-2021-0511

Access Statistics for this article

International Journal of Productivity and Performance Management is currently edited by Dr Luisa Huatuco and Dr Nicky Shaw

More articles in International Journal of Productivity and Performance Management from Emerald Group Publishing Limited
Bibliographic data for series maintained by Emerald Support ().