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Disruption

Corporate Innovation 2.0: How companies are creating new products and services to compete in the all-tech age

Victor Mulas's picture

Explaining the idea factory through Legos at the Strengthening Lebanon’s Mobile Internet Ecosystem workshops. Photo by Shamir Vasdev / World Bank
 



The corporate world is at the forefront of the tech-led transformation of the economy. The democratization of technology, whereby exponential cost reductions have allowed almost anyone to produce tech-based innovations, is disrupting core sectors of the economy. 
 
Technology disruption is not confined anymore to the digital world. Data analytics, artificial intelligence, 3-D printing, robotics, sensorization, and an ever-evolving list of technology platforms have blurred the boundaries that once-protected physical ("brick and mortar") sectors, such as the hospitality, automobile, construction and manufacturing sectors.

Business as usual has not served companies in these sectors well. Traditional innovation models to create products and services do not match the pace and agility of competitive disruption from tech actors (e.g., large technology platforms with unbeatable access to data access and capital, such as Google or Amazon, and small and agile local startups). Thus, a new corporate innovation model, “Corporate Innovation 2.0,” is emerging.
 
The main characteristic of this new model is that it’s open by nature, as opposed to having a closed R&D process. Established companies tend to offer good structures for marketing, distribution, processes, scaling up products, etc., but, compared to start-ups, they often have a weakness in generating and rapidly applying creativity to develop new products and services.
 
Using open innovation techniques, corporations are trying to address this weakness by absorbing start-up innovation. We have seen three main types of mechanisms in this emerging model: corporate accelerators, competitions to generate new ideas, and co-creation with startups of new products and services. 

Who shares in the European sharing economy?

Hernan Winkler's picture
Data on the sharing economy (Uber, Airbnb and so on) are scarce, but a recent study estimates that the revenue growth of these platforms has been dramatic. In the European Union (EU), the total revenue from the shared economy increased from around 1 billion euros in 2013 to 3.6 billion euros in 2015. While this estimate may equal just 0.2% of EU GDP, recent trends indicate a continued, rapid expansion.

This is important, as the sharing economy has the potential to bring efficiency gains and improve the welfare of many individuals in the region.

This can also generate important disruptions.

While online platforms represent a small fraction of overall incomes, the share of individuals participating in these platforms is large in many European countries. For example, roughly 1 in 3 people in France and Ireland have used a sharing economy platform, while at least 1 in 10 have in Central and Northern Europe (see figure below).

At the same time, the share of the population that has used these platforms to offer services and earn an income is also significant, reaching 10% or more in France, Latvia, and Croatia. This means that at least one out of every ten adults in these countries worked as a driver for a ride-sharing platform such as Uber, rented out a room of his or her house using a peer-to-peer rental platform such as Airbnb, or provided ICT services through an online freelancing platform such as Upwork, to name a few examples.

Weekly Wire: The Global Forum

Roxanne Bauer's picture

These are some of the views and reports relevant to our readers that caught our attention this week.

 
The Challenge Of Connecting The Unconnected
TechCrunch
Every time we return to or sign up for an Internet service (e.g. Facebook, Google, Gmail, YouTube, etc.), we rely on what UX experts call a “mental model” for navigating through the choices. A mental model is essentially a person’s intuition of how something works based on past knowledge, similar experiences and common sense. So even when something is new, mental models help to make sense of it, utilizing the human brain’s ability to transcode knowledge and recognize patterns. For instance, most of our grandparents can hit the ground running with changing the channel or increasing the volume when handed the remote control for the latest television available in the market today, squarely because of a well-developed mental model for TV remote control units. But our grandparents may not have the same level of success when using Internet services, smartphones or tablets. Under-developed mental models in these domains are their primary obstacles

Beyond Magic Bullets in Governance Reform
Carnegie Endowment for International Peace
Domestic reformers and external donors have invested enormous energy and resources into improving governance in developing countries since the 1990s. Yet there is still remarkably little understanding of how governance progress actually occurs in these contexts. Reform strategies that work well in some places often prove disappointing elsewhere. A close examination of governance successes in the developing world indicates that effective advocacy must move beyond a search for single-focus “magic bullet” solutions toward an integrated approach that recognizes multiple interrelated drivers of governance change.
 

How Should INGOs Prepare for the Coming Disruption? Reading the Aid/Development Horizon Scans (so that you don’t have to)

Duncan Green's picture

Gosh, INGOs do find themselves fascinating. Into my inbox plop regular exercises in deep navel-gazing –both excessively self-regarding and probably necessary. They follow a pretty standard formula:

  • Everything is changing. Mobile phones! Rise of China!
  • Everything is speeding up. Instant feedback! Fickle consumers! Shrinking product cycles!
  • You, in contrast are excruciatingly slow, bureaucratic and out of touch. I spit on you and your logframes.
  • Transform or die!