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- W1964828381 abstract "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." @default.
- W1964828381 created "2016-06-24" @default.
- W1964828381 creator A5071291877 @default.
- W1964828381 creator A5074642941 @default.
- W1964828381 date "2012-04-01" @default.
- W1964828381 modified "2023-10-18" @default.
- W1964828381 title "MANAGING QUALITY AND NETWORK EFFECTS IN THE HIGH-TECH MARKET: THE CASE OF RESEARCH AND DEVELOPMENT TOOLS IN LIFE SCIENCE INDUSTRY" @default.
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- W1964828381 doi "https://doi.org/10.1142/s1363919611003416" @default.
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