Impact for whom? Mapping the users of public research with lexicon‑based text mining – When I moved to the social sciences, the impact of my research became much more difficult to define and perceive. This study maps the various communities that such research can have impact to. Found the visualizations fascinating.
Who Contributes Knowledge? Core-Periphery Tension in Online
Innovation Communities – explores what makes a contribution highly valued in the forum Stack Exchange. They talk about social embeddedness which refers to how connected socially an individual is to their community and epistemic marginality which refers to how different an individual’s knowledge base is compared to their community. Those who are both socially embedded and epistemically marginal are able to contribute highly valued insights as these insights are generally novel compared to the community and at the same time, they are able to communicate well their ideas to their community.
Recommender systems in the healthcare domain: state-of-the-art and research issues – always interesting to see the overlap across healthcare and AI. This review looks at the application of recommender systems in food, drug and exercise recommendation, health status prediction and health care professional search.
It did not work? Unlearn and try again – Unlearning success and failure beliefs in changing environments – it’s important to learn from your mistakes, but it’s also important to unlearn the false beliefs you have formed from previous mistakes. Cool insight considering that people generally focus on learning and not on unlearning.
Experience base, strategy-by-doing and new product performance – When we think of strategy, we usually think of getting a whiteboard and brainstorming on the best plan forward. In contrary, there is strategy-by-doing which is defined as “actions of iterative search for what works in the market.”