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The Relation between Supply Chain Analytics Management Capability and Firm Performance

Authors :
Tuğba Karagülle
Murat Çemberci
Source :
Journal of International Trade, Logistics and Law, Vol 9, Iss 2, Pp 282-291 (2023)
Publication Year :
2023
Publisher :
Collaboration (Ömer ÖZKAN, Murat Çemberci, Mustafa Emre Civelek, Nagehan Uca, Okşan Kibritçi), 2023.

Abstract

The global academic and practitioner industries have shown significant interest in the effect and importance of big data analytics and new technologies on supply chains. Based on the organizational information processing theory, this study attempts to investigate how big data driven supply chain analytics management capability influence firm performance. We tested our research hypotheses using variance based structural equation modelling with survey data collected using a web based pre-tested instrument from 201 respondents employed various industries in Turkey. The findings indicate that supply chain analytics Management capability has positive effect on firm performance.

Details

Language :
English
ISSN :
21499748
Volume :
9
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Journal of International Trade, Logistics and Law
Publication Type :
Academic Journal
Accession number :
edsdoj.9506a24ecee44be6933504112a2029b7
Document Type :
article