Managing quality and network effects in the high-tech market : the case of research and development tools in life science industry
Hu, Yansong and McLoughlin, Damien. (2012) Managing quality and network effects in the high-tech market : the case of research and development tools in life science industry. International Journal of Innovation Management, Vol.16 (No.2). p. 1250009. ISSN 1363-9196Full text not available from this repository.
Official URL: http://dx.doi.org/10.1142/S1363919611003416
We seek to extend current theory on research and development (R&D) tools and create new insights by adopting a multi-disciplinary approach and drawing from literatures on quality and network effects in the high-tech market. More specifically, we use a unified framework on quality and network effects, and examine two forms of quality effects (third party quality reviews and company-advertised quality) and two types of network effects (network externalities effect and social network effect) in driving the popularity and success of R&D tools. By tracking two categories of R&D tools in the life science industry for a decade, our research provides a sharper understanding of R&D tools and therefore can help R&D tool producers to accelerate the market acceptance of their new tools, which should promote faster innovation and ultimately benefit the whole R&D community. © Imperial College Press.
|Item Type:||Journal Article|
|Divisions:||Faculty of Social Sciences > Warwick Business School > Marketing & Strategic Management
Faculty of Social Sciences > Warwick Business School
|Journal or Publication Title:||International Journal of Innovation Management|
|Publisher:||Imperial College Press|
|Page Range:||p. 1250009|
|Access rights to Published version:||Restricted or Subscription Access|
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