Advanced Analytics and Data Management in the Procurement Function: An Aviation Industry Case Study

Altundag, Andrea and Wynn, Martin G ORCID: 0000-0001-7619-6079 (2024) Advanced Analytics and Data Management in the Procurement Function: An Aviation Industry Case Study. Electronics, 13 (8). Art 1554. doi:10.3390/electronics13081554

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Abstract

The company’s strategic procurement function makes a significant contribution to overall corporate success, and yet remains under-researched in terms of digitalisation and digital maturity. This research adopts an inductive case study approach, using qualitative data from in-depth interviews with industry practitioners to develop and apply a digital maturity model for the deployment of strategic procurement analytics. The case study company is a multinational aerospace corporation with almost 150,000 employees worldwide. The research presents a snapshot of the digital maturity of the strategic procurement function of this global aircraft manufacturer and finds that the current exploitation of analytics remains constrained by a range of factors, including the need for close compliance with regulatory norms. Thematic analysis of the interview material provides the basis for the development of the maturity model, which — although geared to a specific industry context - is nevertheless of relevance in other business environments. The research thus contributes to the existing literature in this field, and will also be of interest to procurement professionals. However, the research clearly has its limitations, not least in that it is based on just one industry case, and cross-industry generalisations from the findings must therefore be treated with caution.

Item Type:	Article
Article Type:	Article
Additional Information:	This article has been published in the Special Issue Advanced Research in Technology and Information Systems.
Uncontrolled Keywords:	Data analytics; Strategic procurement; Big data; Maturity model; Aviation industry; Aircraft manufacturer
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General)
Divisions:	Schools and Research Institutes > School of Business, Computing and Social Sciences
Research Priority Areas:	Applied Business & Technology
Depositing User:	Martin Wynn
Date Deposited:	30 Apr 2024 10:08
Last Modified:	13 May 2024 15:45
URI:	https://eprints.glos.ac.uk/id/eprint/14010

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