A review of data analytics in technological forecasting – comprehensive review on how data analytics has been used for technological forecasting. Data has been used to inform the following:
- Technology trend analysis – extract clusters and topics
- Emerging trend analysis – identify promising patents
- Product diffusion – examine progression in life cycle
- Roadmapping – uncover relationships between markets, products and tehcnologies
- Opportunity analysis – recommend new business ideas
- Scenario analysis – generate different concepts
- Technology risk – evaluate returns and risks
Robots, AI, and Related Technologies: A Mapping of the New Knowledge Base – a patent study of AI and robotics. The researchers find that AI and robotics’ knowledge base builds on previous paradigm instead of being a technological revolution altogether. Interesting too is that the two are very much coupled that the authors argue that the two should just be considered as one general-purpose technology.
Universities and start-up creation by Ph.D. graduates: the role of scientific and social capital of academic laboratories – 6.7% of Italian PhD graduates engage in startup activities. Their involvement with entrepreneurship is related to whether they had business experience during their PhD and whether their lab had some interest with business. Following one of the articles in the previous week showing that those who worked in small companies tend to have lower human capital, I was already thinking that those who become entrepreneurs were going to be those who cannot find other options. However, it’s great that the researchers in the study controlled for unemployment rate in the region to account for this.
What is the Eisenhardt Method, really? – in any bibliometric analysis of the management literature, one paper will show up whatever topic or domain you are studying, the eisendhardt paper. Useful reflection by the author, especially the different ways to choose cases – common antecedents, matched pair, racing, polar types .
The Digital Transformation of Search and Recombination in the Innovation Function: Tensions and an Integrative Framework – management researchers love 2×2 matrices. In this case, the researchers propose a framework relating digital transformation with search and recombination. The two axes were (1) whether digitalization replaces/complements existing competencies and (2) whether digitalization reinforces/overturns existing knowledge structures.