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Improving the value–of-input for ideation by management intervention: an intra-organizational network study

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journal contribution
posted on 08.11.2017 by Rick (H.L.) Aalbers, Wilfred Dolfsma
A discretionary social network in a firm is where individual employees voluntarily share new, innovative knowledge – activities in this network are essential to firm innovation. Drawing on a unique field study we quantitatively compare the situation before and after a ‘simple’ management intervention aimed at increasing discretionary social network activity. We submit that both the network position as well as the formal role of an individual both need to be taken into account to understand the antecedents to the voluntary exchange of valuable inputs within an organization. We find empirical evidence that someone’s structural position in the network prior to intervention positively contributes to the value-of-input exchanged. Contrary to expectation, however, those employees whose task it is to professionally share valuable, new knowledge attributed the input for future innovation – ideators – fall short in leveraging a favorable position in a firm’s discretionary social network.
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School

  • Loughborough University London

Published in

Journal of Engineering and Technology Management

Citation

AALBERS, R. and DOLFSMA, W. , 2017. Improving the value–of-input for ideation by management intervention: an intra-organizational network study. Journal of Engineering and Technology Management, 46, pp. 39-51.

Publisher

© Elsevier

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

26/10/2017

Publication date

2017

Notes

This paper was accepted for publication in the journal Journal of Engineering and Technology Management and the definitive published version is available at https://doi.org/10.1016/j.jengtecman.2017.10.006.

ISSN

0923-4748

Language

en

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