In 2010, Louise Mors, Professor of Strategic Management and Globalisation at Copenhagen Business School, conducted a study of a global consulting firm and her findings were published in Strategic Management Journal under the title ‘Innovation in a global consulting firm: When the problem is too much diversity’. Mors set out to understand more clearly ‘how network structure affects the ability of individual managers to innovate’.
To innovate successfully, partners and senior managers in knowledge-based businesses actually have to deal with two challenges. First, they have to find novel information and ideas. And second, they need to be able to evaluate them, spread the word and, finally, implement them. Successful innovation isn’t just about having good ideas. Putting these ideas into practice and getting buy-in from colleagues is equally important.
Mors found that managers deal with both of these challenges by nurturing and tapping into different sorts of personal networks, both within and outside the organisation. She reported that finding innovative ideas is best achieved through an open network, in which relatively few people are connected to each other. Interacting with a very wide variety of people, from different backgrounds and with different mindsets, exposes managers to more and more varied ideas.
On the other hand, if an innovator wants to implement a new idea or persuade others to do so, it’s easier if his or her network is denser, with more overlapping connections. In her study, Mors doesn’t explain why, but it is safe to assume that the people in these denser networks talk to and respect one another.
You don’t necessarily need to convince each and every member of your network separately; by talking to each other they will help spread the word, and do some of the work for you.
In a very different study among open source software developers, Karim Lakhani, Professor of Business Administration at Harvard Business School, came up with similar findings: often, he says, it was ‘outsiders – those with expertise at the periphery of a problem’s field – who were most likely to find answers and do so quickly’.