When it comes to implementation there are three things that companies ought to be thinking about in order to maintain a competitive advantage: process, feedback, and the importance of having multiple stakeholders from the beginning. Learn more in this Open Innovation Guide from IdeaScale.
Systematic Idea Generation and Organizational Capabilities for Front-End Innovation Performance in SMEs
This study seeks to answer two key questions about the front-end innovation: when do idea generation activities involving internal and external partner’s payoff, and which organizational capabilities support idea generation activities for achieving high front-end performance?
To amplify your company's presence and scale your influence, innovation teams need to harness informal networks and not simply rely on formal structures to create a thriving innovation eco-system. Enter Innovation Catalysts: natural champions who are believers, idea generators, problem solvers, mentors and sponsors in your organization.
Organizational innovation requires discipline. And like any other discipline, it requires monitoring and training to make sure that you’re on the cutting edge of your capabilities. But what skills should you focus on building and how can you track your progress?
What external stakeholder groups can you tap into to build value for your innovation initiatives? Are your relationships with these external stakeholder groups solid or do you need to do additional work to build good, mutually beneficial working relationships? Are there potential stakeholder groups that you have not yet tapped at all? If so, what is your plan for reaching out to organizations within these pools so that you can further expand your innovation ecosystem? Are your channels for communicating with your external stakeholders strong or do they need further work?
"The actual path of a raindrop as it goes down the valley is unpredictable, but the general direction is inevitable," says digital visionary Kevin Kelly — and technology is much the same, driven by patterns that are surprising but inevitable. Over the next 20 years, he says, our penchant for making things smarter and smarter will have a profound impact on nearly everything we do. Kelly explores three trends in AI we need to understand in order to embrace it and steer its development. "The most popular AI product 20 years from now that everyone uses has not been invented yet," Kelly says. "That means that you're not late."
The list of problems that need to be solved is growing almost as fast as our solutions are. Some are concerned about the lack of food and water security, others worry about access to education and a whopping 45.2% of millennials think today’s most pressing problem is the destruction of natural resources. But with the proliferation of problems, organizations and enterprises are broadening their search for innovative solutions and many of them are looking to the crowd for ideas.
For many years, companies were convinced of the competitive advantage of closed research and development. They jealously protected their intellectual property behind closed doors and dramatically revealed it to the public after years of development. This old model has since been replaced by open innovation.
Given the difficulties in developing and working with metrics and measures for open innovation and ecosystems, I have pulled together some inspiration and insights from several articles.
Getting started with open innovation and developing the right foundation for open innovation has been a key challenge at many companies in the last three to five years. Now, internal as well as external forces are moving these companies towards the next level of open innovation in which we go beyond just products and technology and start to explore how a more open and collaborative mindset can be applied to all more business units and functions. Think procurement and engineering as examples.
Even before the term was coined in Wired Magazine in 2006, crowdsourcing was utilized as a way to accomplish goals. The strategy had been used for several hundred years before it was officially given a name, but since being named, crowdsourcing has grown into a huge field, spawning subdivisions of the strategy and being used for a multitude of purposes. Wikipedia is one of the most recognizable and mainstream instances of crowdsourcing, designed to elicit and compile knowledge from the masses. Crowdsourcing has been used in real time to track public transportation and traffic updates with various apps.
In 1946, Soviet inventor and science fiction writer Genrich Altshuller developed a methodology called TRIZ. It became known as "the theory of inventive problem-solving" and was based on a simple premise: across different disciplines and applications, the same challenges occur again and again. Unfortunately, people keep solving nearly identical problems from scratch. The main lesson from TRIZ is this: if you understand how your innovation challenge is similar to someone else’s, you can reapply solutions that already exist, instead of reinventing the wheel time and again.
This is the third part of a three-part article series. We are investigating why – despite all the investments made into the early phase of innovation – innovation results remain disappointing. We call this the “corporate innovation problem”. In the first part we illustrated that companies are investing heavily into the early phase of innovation. In the second part, we provided some metrics on the corporate innovation problem and found that the corporate innovation problem actually consists of a “complexity” problem” and a “system problem”. In this article, we show six levers to change the “system problem” and think this is the way to solve the corporate innovation problem – and ultimately to increase innovation performance.
This is the second part of a three-part article series. In the first part we illustrated that firms are investing heavily into the early phase of innovation. In this second part we show that despite of all these investments, innovation results remain disappointing. We call this the “corporate innovation problem”. We provide some metrics and find that there are two root causes. In the upcoming third part we will suggest that six levers can be used to address one of the root causes. We believe that moving these levers can provide a solution to the corporate innovation problem – and ultimately lead to increased innovation performance.
Innovation is at the top of the Management Agenda for many companies. For excellence in innovation, companies have to master the chain of activities from discovering valuable insight into unmet customer needs to successful market adoption.However, despite large and growing investments into innovation, results remain disappointing. We call this the “corporate innovation problem”. In this 3-part article series we dig deeper into this problem and find that there are actually two root causes for it.We focus on one of the root causes – the “system problem” – and work out six levers of improvement. Acting on these levers offers a solution to the corporate innovation problem and ultimately increases innovation performance.