Innovation requires collaboration, but collaboration is stuck in a rut. Data science can help us climb out. It can increase the scale, the intentionality, and the nuance of how we collaborate. With the right data and algorithms, we can set our teams up to do something innovative.
Is there any word more fundamental to the modern business lexicon than ‘innovation’? To say that it forms an important part of enterprise is probably an understatement.
Innovation is an integral part of many organizations today, and for good reason: it helps companies stay agile, relevant, and evolving. However, innovation is often difficult to achieve—or is even met with resistance.
When leaders foster a culture of innovation, they enable their teams to be creative, flexible problem-solvers who thrive in the face of change. But what is a culture of innovation? And how does a leader begin to foster one? Building a culture of innovation originates with embracing The 3 Cs: critical thinking, curiosity, and customer-centric design.
It’s pretty much impossible to argue with Apple’s success. It’s one of the most valuable companies in the world, and has maintained dominance for its reputation as an innovative company that produces top-of-the-line hardware. Because of its products and brand reputation, Apple has gained a cult following that will buy nearly every new product that emerges, year after year. So why, even with the high price tag, are so many consumers willing to shell out for every new gadget that comes along?
Ambitious and impractical business schemes can often lack the fundamental elements needed to make them a reality, leaving huge expense and casualties of the blame game in their wake. The business world is littered with the remnants of unrealised programs and unsuccessful plans for development, several of them so high profile as to have attracted national notoriety.
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?
Surveys show that the large majority of senior executives see innovation as critical for their businesses but what if you want to make your organization more agile and innovative where should you start? You could launch a big initiative with grand statements, training classes and an ideas scheme but you tried all those last year and they fizzled out. It is better to begin with a brutally honest assessment of what is preventing innovation from happening today.
Today's innovation rules were forged in a world that paid little attention to sustainability, where profit was separate from this higher purpose. Yet the disruptive nature of sustainability must surely change the way we innovate too. We must continue to reinvent our innovation processes to ensure it is fit for a changing world, in the five ways highlighted here.
Nowadays, the words “innovation” and “creativity” get thrown around a lot in the business and academic world. But the road to making successful innovations is filled with challenges, opportunities taken or missed, and plenty strikes of luck. Often, people invent machines to face a recurrent problem. These inventions, in turn, spawn other inventions and innovation. These types of inventions have the most impact on society. Here’s looking at three inventions that have changed our lives forever.
Most people agree on the importance of sustainability in innovation, so why is it difficult to deliver? In this article, we’ll explore three hurdles to sustainable innovation: it’s often not considered by innovators themselves as they plan their projects; sustainability is not framed as an exciting and imaginative opportunity; and that sustainable innovation may not fit into a company’s ongoing processes.
Human talent, drive and innovation can achieve incredible feats - and what more tangible example than modern superstructures? Let’s take a look at some of the drivers behind building bigger and better buildings worldwide, from improved materials, to cross-sector collaboration and beyond.
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.
Crowdsourced innovation is a tactic used more and more often by government organizations as well as enterprise corporations. This means that innovation teams need to add a new skill set to their resumé: communications.
Cross industry learning, the transfer of technologies across industry boundaries, can revolutionize technology landscapes. We will illustrate the advantages of cross industry learning with a case study.