In the past few weeks, there have just been tons of interesting articles published in technology management. Instead of giving a summary for each article, I’ll just dump all these fascinating articles I’ve seen. I might revise this blog post in the future and write extended comments on each paper in the future.
Our paper entitled Systematizing serendipity for big science infrastructures: The ATTRACT project just got published in Technovation. In this paper, we explore how scientists from large research organizations like CERN, EMBL and ESO find alternate applications from their research.
What drives university-industry collaboration? Research excellence or firm collaboration strategy? – not universities’ quality of research but the firms’ inclination to participate
Innovation-driven entrepreneurship – “the markets, technologies and business models employed by these entrepreneurs are such that the nature and parameterization of the probability distribution of outcomes is entirely unknown.”
Long-term effects from early exposure to research: Evidence from the NIH “Yellow Berets” – exposure to a two-year training program led to sustained impacts on the careers of the participants.
Do Looks Matter for an Academic Career in Economics? Unsurprisingly, yes.
Navigating the New Normal: Which firms have adapted better to the COVID-19 disruption? – firms that have good internal R&D / good management practices and younger agile firms are more likely to adapt to COVID challenges.
Telling “white lies” within the entrepreneurial firm: How rationalized knowledge hiding between founder CEO and founder CTO influences new product development – Certain types of knowledge hiding by CTOs from their CEOs can help accelerate these firms’ innovation of new products.
We’re engaged! Following the path to a successful information management capability – information management capability refers to a “firm’s ability to leverage IT, data, and people’s information usage behaviors to provide accurate and valuable information for the firm to improve its business performance”.
Applying digital technologies in technology roadmapping to overcome individual biased assessments – a very visual article on how digital technologies can augment roadmapping.
Data sharing practices and data availability upon request differ across scientific disciplines. Social sciences tend to decline requests for data sharing the most. Top reasons for declining across all disciplines include: no time to search data, data lost, data protected by agreements, privacy and people moving.