Onderzoeksoutput per jaar
Onderzoeksoutput per jaar
Filippo Grillo, Paul Moritz Wiegmann, Henk J. de Vries, Rudi N.A. Bekkers, Stefano Tasselli, Amin Yousefi, Geerten van de Kaa
Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Originele taal-2 | Engels |
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Pagina's (van-tot) | 788-830 |
Aantal pagina's | 43 |
Tijdschrift | Academy of Management Annals |
Volume | 18 |
Nummer van het tijdschrift | 2 |
Vroegere onlinedatum | 10 jul. 2024 |
DOI's | |
Status | Gepubliceerd - jul. 2024 |
The authors thank Johanna Mair for her editorial guidance and two anonymous reviewers for their comments and suggestions. They also thank the Dutch Foundation for Research and Education on Standardisation for stimulating the cooperation that resulted in this paper, and the Royal Netherlands Standardisation Institute for research funding. The paper benefitted from comments received at the 25th annual conference of the European Academy for Standardisation in September 2021, and from comments and discussions during research seminars and faculty meetings at Erasmus University Rotterdam and at the University of Exeter. We are also grateful to Edoardo Salvemini for his involvement in the early stages of the project. Any errors and omissions are the authors\u2019 responsibility. The corresponding author is Filippo Grillo ([email protected]). Accepted by Johanna Mair
Financiers | Financiernummer |
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Dutch Foundation for Research and Education on Standardisation | |
Royal Netherlands Standardisation Institute |
Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Grillo, F. (Ontwerper), Wiegmann, P. M. (Bijdrager), de Vries, H. J. (Bijdrager), Bekkers, R. (Bijdrager), Tasselli, S. (Bijdrager), Yousefi, A. (Bijdrager) & van de Kaa, G. (Bijdrager), 4TU.Centre for Research Data, 29 mei 2024
DOI: 10.4121/842d8ed0-184a-4afd-886b-e258609a3f09.v2, https://data.4tu.nl/datasets/842d8ed0-184a-4afd-886b-e258609a3f09/2 en nog één link, https://data.4tu.nl/datasets/842d8ed0-184a-4afd-886b-e258609a3f09 (minder tonen)
Dataset