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"Thinking, Fast and Slow is a 2011 book by Nobel Prize winner in Economics Daniel Kahneman which summarizes research that he conducted over decades, often in collaboration with Amos Tversky.[1][2] It covers all three phases of his career: his early days working on cognitive bias, his work on prospect theory, and his later work on happiness. The book's central thesis is a dichotomy between two modes of thought: System 1 is fast, instinctive and emotional; System 2 is slower, more deliberative, and more logical. The book delineates cognitive biases associated with each type of thinking, starting with Kahneman's own research on loss aversion. From framing choices to substitution, the book highlights several decades of academic research to suggest that we place too much confidence in human judgment."

"Academic paper on measuring informal innovation. The definition is "Innovation that is not explicitly planned and budgeted by identifying innovative firms that do not conduct any R&D""

Addressing knowledge loss at the UK's average rate of staff turnover (around 20% a year, including managers) means that an organizations' bank of remembered know-how and experience can be reduced to homeopathic levels in just a short space of time. Fortunately, not everyone leaves simultaneously and atypical practices like job overlapping and mentoring helps. But given that academics estimate that when employees leave, they take with them up to 90% of their employers' unique knowledge - most of it tacit and nothing of which typically gets into data banks - the compounded attrition of this distinctive component of intellectual capital is still truly massive.

"LexisNexis has surveyed 500 people working in information services in a range of roles across Europe.  In depth interviews were held with professionals in France, Germany and the Netherlands and a broader survey was sent out to information professionals across Europe.  Finally, the researchers interviewed senior academics to review the findings."

The Center for Evidence-Based Management (CEBMa) is a non-profit member organization dedicated to promoting evidence-based practice in the field of management. We provide support and resources to managers, consultants, organizations, teachers, academics and others interested in learning more about evidence-based management.

Toby Walsh, an academic and artificial intelligence expert, believes AI will recalibrate our world and its certainties in the next few decades. As with all the best bits of futurology, it does come with a warning.

" Research by Sue Newell focuses on innovation, specifically, on understanding how knowledge is transferred and innovation fostered within and across organizations. Much of her work has taken place at ikon, a research unit for innovation, knowledge and organizational networking that she co-founded at the University of Warwick in the U.K. "