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The impact of digitalization on the future of the PSM function managing purchasing and innovation in new product development – Evidence from a Delphi study
Institution:1. Friedrich-Alexander University Erlangen-Nuremberg, Lange Gasse 20, 90403 Nuremberg, Germany;2. Steinbeis University, School of International Business and Entrepreneurship (SIBE), Kalkofenstrasse 53, 71083 Herrenberg, Germany;1. Department of Supply Chain Management, Eli Broad College of Business, Michigan State University, Travis Kulpa, USA;2. Department of Supply Chain Management, Sam M. Walton College of Business, University of Arkansas, USA
Abstract:Bringing innovative products to markets is essential for companies, especially in competitive environments. One of the driving forces for successful new product development (NPD) is the inclusion of the functions that form part of the process such as purchasing and supply management (PSM). While extensive research has been conducted on the role of procurement in promoting innovation, insufficient research on the future of the PSM function in NPD has been conducted. This study addresses this gap, considering increasing digitalization and its effect on the future PSM function managing purchasing and innovation. To explore the future of PSM in NPD, a Delphi survey with 91 experts from industry, academia, and politics or associations was performed. The results reveal that digitalization will influence the PSM function in NPD across different time horizons and forms depending on the subject area. While in many areas, an interplay between digital technologies and human PSM professionals is expected, in certain domains the PSM function is likely to lose added value compared to digital technologies. Furthermore, digitalization is expected to be a potential enabler of a stronger key innovation role for PSM in NPD but to also introduce new requirements such as data science capabilities.
Keywords:Purchasing and supply management  New product development  Digitalization  Delphi study  Foresight  Judgmental forecasting  Cross-impact analysis
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