When you think of the most innovative places in the world, what do you picture? Silicon Valley and its array of tech startups? Tokyo, because it has the highest number of patents filed worldwide? London, where over 15% of the workforce is employed in the tech sector? Or are you imagining somewhere else?
Business innovation benefits business owners and consumers alike. It helps grow competitive advantage in saturated markets and time and time again have proven to be financially lucrative and socially inspiring. It's crucial to any organization's long-term success and especially hard to scale and maintain.
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.
To understand the impact of IoT on customer service you first need to know what it is. Briefly defined, IoT is a system of interrelated devices, digital machines, and objects that have unique identifiers. All these entities also have data transfer capabilities over networks without the need for human/human or human/computer interaction. In this article, we'll explore how you can redefine and improve customer relationships through IoT.
To gauge the innovation capabilities of an enterprise, it is helpful to apply a systematic method for assessing the quality of, and the relationship between the various and distinct dimensions that drive all functions of the enterprise. As with a sports team, simply having talent does not ensure success. It is the quality of the team work which ultimately elevates or hinders the level of their play.
While the importance of innovation is crystal clear for many organizations, daily execution usually remains challenging. When renewing products, services or business processes, companies often encounter the same obstacles. But what if companies could learn from each other? Can innovation be streamlined by sharing successes and failures? That’s precisely what the first CREAX innovation roundtable was determined to find out. In collaboration with Oracle, we gathered a diverse group of innovation professionals for a lively debate on how to move from theorizing to getting things done. This is what we learned.
Although innovation programs are becoming more and more embedded within the enterprise, it is still very common to find organizations that are just starting to experiment with formal, continuous innovation programs. Many IdeaScale clients that come to us are quietly launching pilot programs as proof-of-concept initiatives that will confirm innovation value for senior leadership.
Although a lot of companies would undoubtedly prefer to keep all of their operations in-house, this sometimes isn’t realistic. Whether you are suffering from budget or other resource restrictions, lack of personnel or a general lack of time to do a high-quality job, many other organisations are available to handle things on your behalf.
Piloting in business innovation means testing an idea effectively. This is not a straightforward process and requires addressing the right questions: What idea should we test? Which aspect of it? How should we go about testing? How should we measure the results? What do we allow these results to mean and what do we do afterwards?
How does the disruptive machine work? In this article Alex Chenevier offers a consolidated view of his previous publication, (before introducing his disruptive innovation methodology) by recording his research itinerary and extracting three intertwined progresses (the knowledge space, the path dependency and knowledge fusion), ultimately surfacing a unified model. The scientific equation of K³ey Performance Indicator℠ is perhaps the first definite, quantifiable and measurable model, and therefore applicable in business terms.
How to apply metrics to open innovation (OI)? That's the question we often get from our clients when they start to develop their open innovation capabilities. In order to provide an answer to this critical question, the following article will focus on the key findings of our Open Innovation KPI 2012 study. Based on this study, a metrics-based management toolkit has been developed, which provides the most relevant key performance indicators from the perspective of innovation managers, subject matter experts, and consultants.
Thanks to loads of compelling research studies and best practice cases in open innovation (OI) carried out over the last decade, several companies nowadays begin to embrace and partially apply the new principles and methods OI offers. However, when managing open innovation at the project level, even experienced managers still go blank at the question: how to assess, control, and measure the performance of these activities? In this series of articles, we will address the above issue by discussing a general framework for an open innovation performance measurement system (Part 1). Given this framework, a metricsbased management toolkit will be presented that provides a suite of key performance indicators (KPIs) for a specific set of OI methods that demonstrates the key results of our Open Innovation KPI 2012 Study (Part 2).
