TY - JOUR
T1 - Advancing purchasing as a design science
T2 - Publication guidelines to shift towards more relevant purchasing research
AU - Stange, Raphael
AU - Schiele, Holger
AU - Henseler, Jörg
N1 - Funding Information:
We would express our gratitude to Alex Bala, who worked on the conception and application of the AI algorithm to identify design papers, in his master thesis also applying this technology to the Journal of Supply Chain Management, identifying a similar pattern as with JPSM, in that case 2.9% of all papers being design papers (Bala, 2022).
Publisher Copyright:
© 2022 The Authors
PY - 2022
Y1 - 2022
N2 - Due to rapidly changing business environments, purchasing and supply management (PSM) organisations are constantly confronted with new problems impacting organisational performance. PSM research can address these problems through design science research. Design science is also regarded as the science of the artificial. Design science research is a methodology that aims to systematically generate knowledge for the design, synthesis, testing, and evaluation of human-made artefacts (e.g., tools, interventions, policies) that solve practical problems. PSM artefacts such as the purchasing portfolio matrix invented by Kraljic (1983) represent a valuable opportunity to solve problems in the PSM discipline. However, our artificial-intelligence (AI)-based analysis of the discipline's flagship journal, the Journal of Purchasing and Supply Management (JPSM), indicates that design-oriented publications in PSM are underrepresented, accounting for less than 4% of the total publications. We argue that existing PSM research should be complemented with more design-oriented research, and address the following research question: How can PSM scholars publish more design-oriented research? Our objectives are to (1) provide arguments for advancing PSM as a design science, (2) nurture a better understanding of design science research as a methodology, and (3) propose publication guidelines that enable researchers to present design-oriented research in a management journal.
AB - Due to rapidly changing business environments, purchasing and supply management (PSM) organisations are constantly confronted with new problems impacting organisational performance. PSM research can address these problems through design science research. Design science is also regarded as the science of the artificial. Design science research is a methodology that aims to systematically generate knowledge for the design, synthesis, testing, and evaluation of human-made artefacts (e.g., tools, interventions, policies) that solve practical problems. PSM artefacts such as the purchasing portfolio matrix invented by Kraljic (1983) represent a valuable opportunity to solve problems in the PSM discipline. However, our artificial-intelligence (AI)-based analysis of the discipline's flagship journal, the Journal of Purchasing and Supply Management (JPSM), indicates that design-oriented publications in PSM are underrepresented, accounting for less than 4% of the total publications. We argue that existing PSM research should be complemented with more design-oriented research, and address the following research question: How can PSM scholars publish more design-oriented research? Our objectives are to (1) provide arguments for advancing PSM as a design science, (2) nurture a better understanding of design science research as a methodology, and (3) propose publication guidelines that enable researchers to present design-oriented research in a management journal.
KW - Design science
KW - Procurement
KW - Publication guidelines
KW - Purchasing
KW - UT-Hybrid-D
UR - http://www.scopus.com/inward/record.url?scp=85125724659&partnerID=8YFLogxK
U2 - 10.1016/j.pursup.2022.100750
DO - 10.1016/j.pursup.2022.100750
M3 - Article
AN - SCOPUS:85125724659
VL - 28
JO - Journal of purchasing and supply management
JF - Journal of purchasing and supply management
SN - 1478-4092
IS - 1
M1 - 100750
ER -