INFLUENCE OF PERSONAL COMMUNICATION NETWORKS ON INNOVATION ADOPTION — USING MULTI-AGENT SIMULATIONS TO PROJECT THE LAUNCH OF AN INNOVATIVE MEDICAL DEVICE
Christian Barrot (),
Jan Kuhlmann () and
Andrea Popa ()
Additional contact information
Christian Barrot: Department of Management and Economics, Kühne Logistics University, Großer Grasbrook 17, 20457 Hamburg, Germany
Jan Kuhlmann: Institute for Innovation Research, Christian-Albrecht-University, Westring 425, 24118 Kiel, Germany
Andrea Popa: Department for Technology Management, Christian-Albrecht-University, Westring 425, 24118 Kiel, Germany
International Journal of Innovation and Technology Management (IJITM), 2013, vol. 10, issue 05, 1-19
Abstract:
Adoption processes are often heavily influenced by interpersonal communication. Marketing managers are increasingly trying to use these relationships to foster the market penetration of their products. In an empirical study of the US market for an innovative medical device, we survey the social network of (mostly chief) anesthetists from 151 hospitals. We confirm the influences from personal communication on individual adoption decisions through hazard regressions. We then use a multi-agent modeling framework trying to identify what seeding strategies would have been optimal to achieve a fast market penetration, i.e. which and how many anesthetists should be selected to initiate personal communication processes.
Keywords: Adoption; seeding; social networks; agent-based modeling; medical innovation (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S021987701340021X
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitmx:v:10:y:2013:i:05:n:s021987701340021x
Ordering information: This journal article can be ordered from
DOI: 10.1142/S021987701340021X
Access Statistics for this article
International Journal of Innovation and Technology Management (IJITM) is currently edited by H K Tang
More articles in International Journal of Innovation and Technology Management (IJITM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().