The aim of the precautionary principle seems laudable: lacking scientific consensus, the burden of proof for an action or policy not being harmful to the public or to the environment lies on those taking that action. In practice, however, this principle has proven a deterrent for innovation - particularly within the EU. How can the innovation principle - that is, examining new policies or plans for a negative impact they have on innovation - help to supplement and balance out the precautionary principle?
I guess everyone knows the tragic story of the EastmanKodak Company: founded in the 19th century, dominating the photographic film market during most of the 20th century and finally collapsing into bankruptcy in the early 21st century, shaken by a new technology they had once decisively initiated.
Regardless of whether the workplace is a public or private entity, departments often struggle to prioritize assigned projects, and align individual projects with overall objectives. In this case study, we’ll explore how the National Cancer Institute implemented crowdsourcing to enable the research community and the public to submit ideas on how best to prevent, diagnose and treat cancer - and how as a result, they were able to prioritize existing research and initiatives into areas where additional resources were needed the most.
This case study explores the results of an innovation research process undertaken by Oxfam, which compared internal feedback vs. general public feedback to identical sets of ideas. In comparing responses between these two audiences, Oxfam discovered an immediate and obvious divide between their staff’s opinions about which fundraising ideas would perform the best, versus what the general public preferred - an important lesson about avoiding the bubble of the echo chamber.
In our society, it is still quite common to attribute the creation of new ideas to either genius or serendipity - a lucky moment finding a valuable insight without actually looking for it. In recent years, however, human creativity was demystified. Empirical research shows that the development of novel ideas has less to do with the inexplicable genius of some individuals, than with the circumstances in which they occur. No genius of any sort could have invented an iPhone in 1850, since the technological trajectory was not anywhere near this point at that time. If there is a 'natural limit' to innovation, then how can we describe the field of possible innovations?
Open innovation is widely used in large companies and we know increasingly more about how to manage this process. In contrast, we know virtually nothing about the managers and practitioners who are driving open innovation in large companies. Who are the managers operating in open innovation teams or units? What is their profile? How long do they stay in an open innovation job, and what is their tenure in the company? This report tries to answer these questions based on an investigation of open innovation managers on LinkedIn.
Embracing an intrapreneurial mindset, which intentionally disrupts things from the inside out and often from the bottom up, is a radical concept for companies that thrive on stability and predictability. However, if an enterprise is committed to developing its innovation capability through intrapreneurship, three groups of people must be mobilized to make it happen: leadership, stakeholders, and innovation support.
Companies once deemed “too big to fail” are increasingly exposed to failure. The threat of disruption is everywhere. Startups are taking on the Goliaths in every market. Scores of malls across the United States are in collapse. Many household brand names are losing ground or even shutting completely. Regardless of industry, businesses face digital Darwinism, the evolution of technology and markets. Disruption is just a matter of when, where and why. To compete, executives must make tough decisions but more so, they must look to new horizons for new insight and direction. Whether companies thrive or cower in the face of digital Darwinism is a choice.
Numerous leaders and community organizers have been talking about public service lately, especially in the US - mostly encouraging the public to take place in ongoing dialogues and to volunteer in their communities in order to create positive change at local and national levels.
Nearly all executives have acknowledged the relevance of digitization and related trends, such as the Internet of Things, connectivity, and industry 4.0. However, the full impact of digitization has usually not been understood in detail. Moreover, most firms struggle to implement digitization initiatives successfully.
The keyword “Industry 4.0” is no longer an empty cliché or a black box; it is currently probably the most important topic within the German economy. Not only will existing processes be revolutionized – but also new businesses and business models will arise. More and more companies have already started to tap into its potential.
In this in-depth article Haydn Shaughnessy discusses why traditional ROI decision making is becoming irrelevant and how options planning is a key element of competitiveness. In these uncertain times firms need to recognise and analyse their options thoroughly in order to be ready for inevitable change.
Customer insight, data & analytics have become an integral part of customer experience. With constantly rising customer expectations and an increasing demand for a quicker service, more channel choice and a highly personalised interaction, the only way you can achieve all three of these and ensure you’re providing an excellent CX is by truly knowing your customers.
The Global Competitiveness Report assesses the competitiveness landscape of 138 economies, providing insight into the drivers of their productivity and prosperity. Switzerland, Singapore and the United States remain the three world’s most competitive economies.
Why do so many companies seem to be sitting on the sidelines when it comes to creating connected products and designing services that tie into them? The cost of adding wireless connectivity to a device is plummeting toward $1. Projections about how many Internet of Things (IoT) objects will be part of our lives, at work or at home, range from 12 billion by 2020 (Cisco) to 50 billion (Ericsson and Intel).