Authors' Response: If Anything, We Should Stigmatize Unhealthy Organizations.

Autor: Kensbock, Julia M.¹ (AUTHOR), Alkærsig, Lars² (AUTHOR), Lomberg, Carina² (AUTHOR)

Publikováno v: Administrative Science Quarterly. Mar2022, Vol. 67 Issue 1, p70-81. 12p. 1 Chart.

Regional foresight and dynamics of smart specialization: A typology of regional diversification patterns

Autor: Piirainen, Kalle A., Tanner, Anne Nygaard, Alkærsig, Lars

Publikováno v: In Technological Forecasting & Social Change February 2017 115:289-300

THE EFFECT OF PATH-DEPENDENCE AND UNCERTAINTY ON THE VALUE OF MATURE TECHNOLOGIES.

Autor: ALKAERSIG, LARS¹, BEUKEL, KARIN², LAUTO, GIANCARLO³

Publikováno v: International Journal of Innovation Management. Jan2018, Vol. 22 Issue 1, p-1. 32p. 7 Charts, 4 Graphs.

Tracing Knowledge Transfer from Universities to Industry: A Text Mining Approach

Autor: Woltmann, Sabrina, Alkærsig, Lars

Publikováno v: Woltmann, S & Alkærsig, L 2017, Tracing Knowledge Transfer from Universities to Industry: A Text Mining Approach . in Academy of Management Proceedings 2017 (AOM) . Academy of Management, Academy of Management Proceedings, 77th Annual meeting of the Academy of Management, Atlanta, United States, 04/08/2017 . https://doi.org/10.5465/ambpp.2017.15409abstract

This paper identifies transferred knowledge between universities and the industry by proposing the use of a computational linguistic method. Current research on university-industry knowledge exchange relies often on formal databases and indicators su

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1202::6eacf56d6b61a79e3edf95977af27422
http://orbit.dtu.dk/en/publications/tracing-knowledge-transfer-from-universities-to-industry-a-text-mining-approach(9c59e932-3488-41f1-ab16-a32a45eec281).html

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