Abstract
Drawing on prior research, the value of scenario planning as a methodology for researching the future of purchasing and supply management (PSM) is explored. Using three criteria of research quality – rigour, originality and significance – it is shown how developing scenarios and analysing their implications present new, important research opportunities for PSM academics, practitioners, and leaders of the profession. Researching the future of PSM supports the identification of uncertainties and anticipates change across many units and levels of analysis of interest to PSM scholars and practitioners, such as the profession/discipline, markets/sectors, or organisations. Scenarios are particularly effective for: considering how the complex interaction of macro-environmental factors affects the PSM context; avoiding incremental thinking; surfacing assumptions and revealing significant blind spots. PSM research using scenarios aligns with Corley and Gioia's (2011) call for prescience-oriented research in which academics aim for more impactful research, enhancing sense-giving potential and theoretical relevance to practice, to better perform their adaptive role in society.
| Original language | English |
|---|---|
| Article number | 100624 |
| Journal | Journal of Purchasing and Supply Management |
| Volume | 26 |
| Issue number | 3 |
| Early online date | 28 Apr 2020 |
| DOIs | |
| Publication status | Published - Jun 2020 |
Bibliographical note
© 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Funding
This study which motivated this article was funded by, and conducted in partnership with, the Chartered Institute of Procurement & Supply (CIPS) (UK) . We are very grateful to interviewees, workshop participants and the knowledge team at CIPS (Sheena Donaldson, Nicola Robinson, Helen Alder).
Keywords
- Covid-19 coronavirus
- Critical management
- Future studies
- Prescience
- Procurement
- Scenario planning
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