We don’t make all the connections we should; we are too caught up in our little world, beating our existing drum, drowned out by its own noise, to step back and appreciate something new is really happening.

Recently I was investigating one strand of thought and then bingo! Something else leads to something else and the rest, so to speak, becomes history.

I’ve been reflecting on the new era of innovation and opening myself up to exploring alternatives, different thoughts, discussions and viewpoints.

Underlying this is a growing sense of my convictions, still partly forming, malleable but trying to drive certain ‘stakes’ into the ground to keep testing and improving on a hypothesis or two; that innovation and its management definitely have to change, and fast!

Of course the cloud figures in this as a whole new different way to orchestrate innovation. More on that at another time as I need to get into some more robust discussions with one or two others on this and expand on my own position a lot more.

My recent ‘bingo’ moment was as I was listening to a round-table discussion within GE and its lighting division with a panel of outside thinkers. Beth Comstock, Senior Vice-President and Chief Marketing Officer was chairing the discussion, so it will always stay lively and stimulating and it did not disappoint on that. Her throwaway line at the end of the panel session was “Perhaps the headline here is the Big Data Mash-Up”.

Mash-up?  So am I missing a certain beat here? Or does it fit into my thinking

This started me off – Mash Ups, Ecosystems, Platforms, Big Data so how about the Big Mash-Up to help the necessary Smash up?

So off I go on one of my walkabouts, needing to plug into mash-ups a little more.

Business jargon is drawing more and more from our software and computer worlds. We have seen lean, agility, scrum and a host of others entering into our business practices in broader ways than the original application; the principles are being extended out.

So what is a mashup?

In web development, it uses content from more than one source to create a single new service, displayed in a single graphical interface. It works if it is fast, easy to integrate and has clear application interfaces that allow this to happen.

The original term of mashup, according to dear old Wikipedia, comes from British – West Indies slang, meaning to be intoxicated or a description for something or someone not functioning as intended.

I like this as it is the way many of our companies are reeling from all the disruptive changes swirling around them. Also within music, it is used when we remix and combine different aspects of music or song from one vocal track to another.

Thereby ‘mashing them’ together to create something new.

So why do I feel the innovation mashup is coming?

The main characteristics of a mashup are combination, visualization and aggregation so as to make ‘it’ (whatever it is) into something more useful, for personal or professional (or organizational) use.

We have a fair number of mash-ups going on already; in business, mash-ups to reveal actionable information, consumer mash-ups that can come through our browser interfaces (maps and info) and data mash-ups that provide new, more distinctive web services.

I’m not going to get into all the technical stuff on this, let alone the challenges but as you read about the taxonomy structures I start thinking innovation taxonomy. Don’t ask me why but I do.

Let’s smoke a little more here (I’m kidding) and think the Internet of Innovation

We have been digesting the internet of things, the internet of everybody so we need to push this a little more and ask “can a comprehensive vision of how this set of events around digital, data etc., alongside our physical needs, be translated into returns for a business wanting to engaged in greater, more valuable innovation”. These will come from platforms and connect everyone.

I hold one additional thought here “virtualizing the core business” and extending this beyond the core, to deliver innovation faster and better by orchestrating its parts to architect the future, based on responding to real needs and extending those existing deliverables that continue to provide value.

We need to manage innovation in more real-time, we need to dramatically improve the process, we need to pull together often the disparate knowledge, we need to inform better, we need to place what we are doing into a greater context and we need greater predictive decision-making.

What we have working the innovation activity is ripe for disruption. Innovation and its management is mostly operating with the 20th-century model.

The move towards digital-physical mashups

Darrell Rigby of Bains & Co., wrote a recent article in the September 2014 Harvard Business Review entitled the “digital-physical mashup”. You could imagine that got my attention in my walkabout.

His view is we are in a period of upheaval, do we see technologies as a threat or a new pathway. The growing reality is digital has the real potential to destroy our existing positions in existing markets.

We see this with digital platforms, those who lean on physical assets to attack the incumbents, take Airbnb for example in its mattress and B&B challenge to hotels or Kickstarter for alternative funding. Value creation is being rethought in totally different ways and business models and being staged on platforms.

Now, what happens when you combine digital and physical? As Darrell comments, there is a growing ‘weaving’ of digital and physical worlds to come tightly together. He cites Nike+ that is giving more than 30 million customers tracking, sharing of runs, workouts and setting fitness goals as the shoe has a built-in sensor and can work with your iPod to see data on time, distance, calories burned and can all be synced back, compared for charting your progress.

Here we see digital sport emerging, the ones not embracing technology will suddenly have their market position erode (and fast)

Then we come back to GE and Beth Comstock’s throwaway line “the big data mashup”

GE when they decide to move into something, tend to do it big time. They make “big bets on big things” according to their CEO and Chair Jeff Immelt. Big Data Analytics is one of these exploding for them. They have housed this under “Industrial Internet” and GE Predictivity TM for asset and operations optimization.

This will come from these analytic insights, through the use of sensors and other technologies in aviation, rail, oil & gas, power generation, wind, power distribution, healthcare, mining, water and process technologies, lighting and manufacturing from machines that are self-aware interacting with other machines and their human operators.

The collecting of data is impossible to manually analyse but if this can be translated into insights through analytics and big data management techniques, visualization and dashboards techniques, that can manage complex machines, save labour, downtime, direct resources and reduce costs it certainly opens up the thinking.

GE’s estimates could be as much as $20 billion in wasted deficiencies per year. Further opportunities will simply occur as this gets understood more as it gets rolled out.

Wikibon analysts believe the analytics market will be worth more than $47 billion by 2017 and Gartner reckons the rise of the Internet of Things will propel the global IT industry past the $3.8 trillion mark by the end of this year.

I can certainly see this as a valuable and seemingly ‘big bet’ sandbox to go and play in and GE is doing this on a strong execution platform. They already have scale, they are just scaling this more into a different business model and value propositions.

Big Data is coming of age, can we handle it?

Big Data is going to certainly drive IT spending in the next few years, yet it is its translation that promises to be within the value extracted, on how we interpret this through analytics, insights and what it then yields in improved productivity, new product designs and service offerings. It all signals a very healthy set of new innovation activities in new products, services and through new business model designs. The fusing of digital and physical for new opportunities is upon us.

So are we seeing the groundwork for a new industrial age where innovation will increasingly play even more of a part, one that needs us to focus on the data, our people and the whole architecture, where the ability to collaborate, exchange, network and decipher what is coming towards you in meaningful ways to turn insight into commercial opportunity seems beckoning?

So is our current innovation systems fit for purpose?

So real-time comes up against old-time innovation processes – something will have to give.

So there is a whole new world of possibilities, a mash-up of the cloud, data, analytics, digital/physical combinations, and real-time activities all crowding into the existing innovation pipeline, manually being cranked along. No, something needs to change. We need to really begin to dump these legacy systems for manual innovation and really step back here.

The BHAG for innovation is needed here
We need to take a very different perspective on the innovation process. We need a greater visual control across our organizations; we need to build a completely new end-to-end innovation management system on a platform approach.

We need to collect and aggregate more knowledge, information and data than ever, the complexity will simply grow as we connect more the digital and physical worlds and innovation is being expected from this fusion.

Fusing the parts, forming the bigger picture

We need to give up on ‘hard end of line’ measures and metrics (so anti-empathy) and go into analytics far more, for driving innovation along its new process constantly at its point of need (note that), embrace data, seek and design new deployment models like cloud and mobility, merge the architecture design of the innovation process onto a visualization platform, seek out those that can contribute both inside and outside the organization.

We need to orchestrate, and provide stunningly different user interfaces (beyond the Excel spreadsheet please) that can come into you wherever you are, tailored to the individual’s role within the innovation development process.

We need to make it highly adaptive, so at a particular time to make it flexible as an on-demand need, drag and drop knowledge into your space to make it hugely dynamic full of interactions, modular and capable of being extended within our more elastic (flexible) enterprises.

A future full of collaboration built on real-time and valuable insight

The future will be collaborative, full of mash-ups to make innovation happen. Innovation management needs to be in the driving seat of changing in response to the next revolution of digital and physical that is ushering in the next era of innovation.

Who is going to take up this grand challenge or is innovation just going to be lagging behind again as efficiency and effectiveness remain as the big brothers dominating the organization’s thinking ‘block’?

We do need a whooping big innovation mashup. By all indications, what is coming towards us we certainly will need some big innovation mashups.

The post Opening Ourselves Up to the Innovation Mashup first appeared on Building Your Innovation & Ecosystem Intelligence.

One of my favorite books is “Dealing with Darwin– how great companies innovate at every phase of their evolution” written by Geoffrey Moore. It is well worth a read.

When you work through his other books and connect thinking of “Crossing the Chasm” and “Inside the Tornado” you really appreciate the learning stories coming out of Roger Moore’s studies of the Technology Adoption Life-Cycle.

We all need to rethink a lot as the new challenges come rushing towards us.

In his work, Geoffrey Moore talks about ‘traction’ and I think this is a great word for thinking about how to gain diffusion and adoption in product, service or business models, to gain market and customer acceptance.
Over three posts I am looking at different aspects of “diffusion and adoption”

The first post outlined the different theories and establish their value in our thinking.

The second post relates these theories into their to achieve success in penetrations of our target markets and increasing sales through growing adoption.

This is the third and final post in this series, it looks at how Rogers’ theories relate to us in today’s connected world, and in particular with reference to Apple and finally offers up some of the reasons why diffusion can fail to occur.

Seeking even more than ever, the One-2-One (1to1) of many
Marketing departments talk penetration, “message penetration, market penetration” and so often ‘force’ customers to become aware and then buy. Does this really work today? I doubt it.

Also many organizations hang on to old media ways to get their message across when the use of technology, the internet and social engagement may seem harder but I believe is far more rewarding to engage with the customer on a more personalized basis. I regard this as 1 to 1 of many.

Today we are in an ever-faster world

Connectivity is driving the diffusion rates of nearly everything. Just take a look at the following table:

Even this table is already out of date on the speed to reach critical mass. Companies are not just setting hurdle rates on launch dates but demanding innovations that have critical mass in revenue and when they achieve critical mass.

It is not unusual to set 18 months to achieve critical mass from the inception to settling on the critical factors that make a value proposition to drive penetration. This can only come through engagement and that comes through technology making the connection to the user.

Just study how Apple manages its diffusion and adoption cycle

There are lessons for us all to learn here. Apple has not been the first in markets, they are a classic fast learner and follower.

Yet they master the convergence of ‘breaking’ technology, design, user experience, pushing materials used and providing ease of use within the make-up of the product, and deliver this ‘bundle’ through the sheer generation of excitement and buzz.

The huge difference is their deep understanding of what can be put together that achieves this diffusion and adoption. What can others learn from this integrated approach to product and people?

Take the iPod for example

The first digital music player entered the US market in 1998 and it was not until 2001 Apple released the iPod.

The market had already shown signs of plateauing at the time of Apple’s launch, which must have been worrying.

Yet it was the unique factors of Steve Job’s clear vision of what a musical experience should have, Apple’s superb understanding of design and usage of materials, and its building upon the growing brand recognition and reputation as front edge.

Yet Apple also benefited from previous product releases because the behaviours and expectancies were being understood and were able to be articulated far more to validate and confirm Steve Jobs emerging view on what customers actually wanted- their own unique choice of music in the palm of their hand.

Steve Job’s innate sense of driving a solution to a winning value proposition by demanding all the parts to be incorporated, often taking uncompromising positions, was the additional factor. For example, being determined to offer a progressively growing store of downloadable music provided that incredible ‘complete’ usage experience. It met an un-articulated need but saw the different signals in its convergence of a total package.

Apple gave everyone in the adoption curve something that set their imagination alight.

Recommendations compounded so even late majorities and laggards felt compelled to buy, and the sales simply exploded.
The basic criteria with the theories of Roger’s Diffusion and Adoption were met.

Then look at the Apple iMac

For the consumer, Apple took away complexity. The learning gap became dramatically reduced.

It was quickly understood you took your computer out of the box and plugged it in.

The complexity of most of our past experiences in complicated set ups, the need to download and fiddle with conflicting software, had been taken away.

Apple set about integrating the system and providing a better user experience. It did away with proprietary connections, set USB and CD-Rom drives as their standard, dragging along most in the industry. It again focused on pushing to the maximum from Rogers characteristics of innovation.

The iMac proved to be phenomenally successful, with 800,000 units sold in 139 days. It’s translucent plastic case, originally Bondi blue and later various additional colors, is considered an industrial design landmark of the late 1990s.

Again design, attention to details, focusing on user needs to reduce complexity, offer relative advantage, make the way forward as compatible and integrated, allowing a fast set up to gain immediate experience and a great design or observability ticked all the boxes of Rogers Five Factors.

Then we get to the iPad

Where do you start? The iPad had built-in Wi-Fi and, on some models, cellular connectivity.

An iPad can shoot video, take photos, play music, and perform Internet functions such as web-browsing and emailing.

Other functions—games, reference, GPS navigation, social networking, etc.—can be enabled by downloading and installing apps. As of October 2013, the App Store has more than 475,000 native apps by Apple and third parties.

There have been five versions of the iPad. The first generation established design precedents, such as the 9.7-inch screen size and button placement, that have persisted through all models.

The iPad second generation  added a dual core Apple A5 processor and VGA front-facing and 720p rear-facing cameras designed for FaceTime video calling.

The third generation added a Retina Display, the new Apple A5X processor with a quad-coregraphics processor, a 5-megapixel camera, HD 1080p video recording, voice dictation, and 4G (LTE).

The fourth generation added the Apple A6X processor and replaces the 30-pin connector with an all-digital Lightning connector.

The iPad Air added the Apple A7 processor, the Apple M7 motion coprocessor and reduced the form factor for the first time since the iPad 2. iOS 5.1 added Siri to the third and fourth generations and the iPad Mini.

There have been two versions of the iPad Mini.

Apple were delivering wave upon wave of new technology in a rapidly accepted format.

A story of design, combining technology, understanding the unmet needs of the market, combining revolutionary materials. It filled a need, and it ticked all the boxes again of Rogers Five Factors of Product.

Yet we had by this time the real effect of the People Difference.
Apple have such a powerful body of innovators and early adopters creating such a pre-launch noise, it draws in early and late majorities.

Apple has been a fashion ‘must have’ statement.

Demonstration of products in Apple stores are ready to be put to any user test, the staff are providing you a ‘user experience’ and support structure that understands our needs and provide all your personal reasons to adopt.

The advocates of Apple products are phenomenal. They are nurtured, engaged with and pampered, as they generate such chatter and noise it can’t be ignored. It delivers the powerful messages Apple want to get out there for accelerating sales at mind-boggling speed.

Apple has institutionalized its product and people diffusion, and adoption process – can you?

We can all take away some powerful learning from this by aligning the theories of Rogers, articulated originally in 1962 and see how they seem highly relevant to Apple’s approach to its thinking.

They have added triggering (conversations, user experiences) with contagion and have been working the different tipping points to gain market traction, penetration and constant appeal to stay up to date and in tune with the latest and greatest.

Lastly let’s remind ourselves why diffusion often fails to occur

1. Getting the price wrong and staying stubbornly rigid with it
2. The wrong identification of the target markets
3. The poor selection of channels often because they are known, and they’re the sales forces’ most comfortable point of contact
4. A really poor communication of the product or service benefits
5. The unique attributes are over-hyped and quickly not seen
6. The new product really does not give many benefits over existing products
7. It simply has no innovative advantage, it was more of a cost-reduction exercise
8. The ease of access to the relevant information about the product is complex, difficult, time-consuming and unclear. It becomes complex
9. The real needs and expectations of the consumer were actually ignored, never discovered or just not met
10. The product or service offers no really clear value proposition to switch and buy.
I’m sure you could add a few more but I leave those to you.

The principles of diffusion and adoption I believe are both important in innovation.

Working the diffusion and adoption theories and putting these into your practice is something that needs an integrated approach, it might develop over time, perhaps through serendipity but knowing its principles helps you begin to map out the pathway.

This is the third and final post within the discussion on exploring diffusion and adoption for innovation.

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Publishing note:  This blog post was originally written on behalf of Hype and with their permission I have republished it on my own site. I recommend you should visit the Hype blog site where they have a range of contributors writing about a wide-ranging mix of ideas and thoughts around innovation, its well worth the visit.

The post Exploring Diffusion and Adoption for Innovation – Part 3 first appeared on Building Your Innovation & Ecosystem Intelligence.

The future within our engagements will determine diffusion and adoption

It is all about letting go but also grabbing more at the same time, and then finding ‘it’.

Technology has opened up the door to both scale and fragmentation and social business is the one pushing through this open door.

We are increasingly facing the Collaborative Economy everywhere we turn. Social business is becoming the denominator of success or failure.

We are needing to confront the new questions that are emerging
New rules are emerging – you could say new theories – and where are these fitting within the corporate mindset?
The shift of what our customer means to us, are we still competing with them, pushing them to accept a value proposition that forces them to begin to look elsewhere?

Are we still determined to hang onto control, in the (mistaken) belief we know what is best for our customers?

Are we really bothering to learn the power of networks, cultivating communities, fostering co-creation and optimizing shared value, instead of just creating and selling things?

Are our structures and processes still stuck in the past or are you transitioning to managing a more social business that operates in more dynamic ways?

There are a huge number of new rules and ways to manage. It is the ones that master these that will succeed in diffusion and adoption at very different speeds than we can imagine today.

In three posts I am discussing different aspects and challenges within diffusion and adoption for innovation

The first post outlines the different theories and establish their value in our thinking.

The second post, this one, relates these theories into their to achieve success in penetrations of our target markets and increase sales through growing adoption.

The third and final post in this series looks at how Rogers’ theories relate to us in today’s connected world, and in particular with reference to Apple and finally offers up some of the reasons why diffusion can fail to occur.
Back to this blog……..

We are all in need of answering numerous questions and finding our way.

Social media is for many business organizations, the new kid on the block

It is relentlessly chipping away at the fabric of how organizations have been organized. In less than half a decade societal and cultural shifts through technology, the transfer to global open digital networks have taken us way beyond “just the internet” for connecting.

We are in need to engage in totally different ways. It is really not good enough to sell just products and services anymore. These are basic value propositions. Customers are looking on how these are connected into different “bigger pictures”. 

The questions of your sustainability approaches, environmentalism, corporate social good and responsibility and a growing interest in governance are shifting their thinking.

Your customers are wanting to connect and establish a different level of trust than simply those invested in a brand name, that is becoming table stakes or even irrelevant.

We are moving into a very different territory. Grasping the changes to your business are highly challenging.

Large organizations are being challenged by the sudden rise of self-organizing communities where people come together online and create shared value that often forms an immediate organization to challenge the existing. Traditional business models need to learn to adopt in different ways themselves.

In an era of high-velocity online start-ups, where the next generation of digital businesses are taking up the space as they focus increasingly on the dynamics of social business where does this leave our existing organizations?

Everything has sped up, we diffuse and adapt in seconds

There is an urgent need to “letting go and grabbing more”. Traditionally “we” provide products and services and many of our existing organizations are slowly coming to grips with providing on-line services.

The belief is this is enough to satisfy customers, keep them buying and using the product or service. Is it?

The social connected economy has reversed the relationship. Consumers just want to use and have provided product and services on ‘their’ demand and seek increasingly the platforms where they can easily go to find out and then use the required products and services. Often they don’t want to buy these, they just want to rent them to do the appropriate job.

The whole movement of jobs-to-be-done, identifying customer needs is yet again a place of increased focus. The larger organization still struggles with this as it wants to fit this ‘seen’ need into their structure and system.

They are spending growing time adapting while others are pivoting quickly to capture this fluidness in need.

In many ways diffusion and adoption lies more in the organizations inabilities than the customers. Perhaps the theories of Rogers have reversed.

It is the power of people and how organizations react and determine differences that will determine diffusion and adoption, as explained by Everett Rogers. Dion Hinchcliffe, an expert on next-generation enterprises suggests an Engagement Fabric.

Are we in a reverse situation for diffusion and adoption?

Consumers race to diffuse and adopt, it seems our larger business organizations struggle. The organizations are the ‘laggards’.

We need to think about the organizations ability to engage at scale. Perhaps we need a further theory to add to Rogers ones. The interpretation of the Engagement Fabric goes like this for aiding diffusion and adoption:

The organization as one does need to engage to any, not many. It is the ability to allow information to flow; we learn to aggregate stories or decipher trends to engage back to new groups of audiences that see your diffusion as valuable to their adoption.

The organization continues to throw open its store. The ability to engage and promote self-organizing communities to exchange and extend around our product and services and keep them as engaged stakeholders who you work to keep involved in the evolution that triggers better innovations.

Simultaneous engagement that is constantly synchronized with the evolving story, built more on business and social value, less on your product or service. Constant insights and thinking get captured for its ongoing community value and ability to keep improving on the product or service offered.

Making the space highly visible and user-friendly. By ensuring ‘ease of access to knowledge you are allowing conversations to build and become increasingly valuable to all involved in the community.

The ability to analyse, interpret and filter. Offer the place that captures the many good insights so as to set about the continued building of value into your products and services.

So we need to transform our own internal design to better diffuse and gain increasing adoption

To quote from Dion Hinchcliffe whose future thinking I have drawn heavily upon for this post makes this comment:

We need to rapidly move to an engagement platform

Diffusion and Adoption are even more of a business organization’s challenge to adapt to the most significant set of changes since the internet.

It is the power of all the disruptive technologies, the power of social business and the incredible impact of all the connected networks are accelerating acceptance or rejection.

Diffusion and Adoption is so far more complex but the principles of Rogers theories, offered nearly fifty years ago, can help to understand a single innovation perhaps.

It is today the way you build your platform for engagement which will determine where you stand in any adoption race for the health of your business and its model in the future.
It is the business organization that is in its race for adoption.

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Publishing note:  This blog post was originally written on behalf of Hype and with their permission I have republished it on my own site. I recommend you should visit the Hype blog site where they have a range of contributors writing about a wide ranging mix of ideas and thoughts around innovation, its well worth the visit.

The post Exploring Diffusion and Adoption of Innovation – Part 2 first appeared on Building Your Innovation & Ecosystem Intelligence.

According to Professor Clayton Christensen and drawn from his book “Seeing What’s Next: Using the Theories of Innovation to Predict Industry Change”, by Clayton M. Christensen, Scott D. Anthony, and Erik A. Roth published by Harvard Business School Press, the only way to look into the future is to use theories.

“The best way to make accurate sense of the present, and the best way to look into the future, is through the lens of theory.” The theory of innovation helps to understand the forces that shape the context and influence natural decisions.

This might not be fashionable for many because as soon as you introduce “theory” into the discussion for many of my practical colleagues they want to dismiss it.

Going back to Christensen “good theory provides a robust way to understand important developments, even when the data is limited. “Theory helps to block out the noise and to amplify the signal”.

Diffusion of Innovation Theory is important for our innovation understanding
One set of theories I believe we simply cannot ignore even more today lies around the work of Everett. M. Rogers where he outlined his thinking in his book Diffusion of Innovations the first edition was published in 1962.

The fifth edition (2003, with Nancy Singer Olaguera) addresses the spread of the Internet, and how it has transformed the way human beings communicate and adopt new ideas.

Over three posts I will look at different aspects of “diffusion and adoption”

The first post, this one, outlined the different theories and establish their value in our thinking.

The second post, relates these theories into their to achieve success in penetrations of our target markets and increase sales through growing adoption.

The third and final post in this series looks at how Rogers’ theories relate to us in today’s connected world, and in particular with reference to Apple and finally offers up some of the reasons why diffusion can fail to occur.

First we need to have a clear grounding or reminder within the theories
By developing our understanding of why some products seem easier to diffuse while others can take longer or often fail, innovators can improve their likelihood of understanding the differences through exploring these different diffusion and adoption theories.

Besides the classic “S-shaped curve” associated with diffusion, it is useful to also reflect on this tougher curve to manage from its development costs into profit requires a greater focus on the commercialization stages.

Product and People determine diffusion and adoption
According to Rogers, the rate of diffusion can be attributed to a combination of “product differences” and “people differences”

Product differences
Research suggests that up to 87 per cent of the variance in an innovation rate of diffusion can be attributed to the following five product characteristics. These are known as Rogers’s Five –characteristics of Innovation.

Relative advantage refers to the degree perceived to be better than the product (or service) it replaces.

Compatibility is the extent to which an innovation is perceived as being consistent with the values, past experiences and needs of potential adopters.

Complexity is the degree to which the new innovation is perceived as being difficult to understand or use.

Trialability is the degree to which the new innovation can be experimented with, piloted and used on a limited basis.

Observability is the degree to which the results of an innovation are visible, observed and communicated to others and where the rate of adoption can often be determined.

People differences
Once the product’s position in relation to the Rogers Five Factors is known, the diffusion process is best managed by focusing on the people’s difference.

The classic bell curve is broken down in the five categories of adopters. 

It is from this initial work of Rogers we then got Geoffrey Moore’s classic on “Crossing the Chasm” which recently has been significantly updated in a recently released book around the Technology Adoption Lifecycle.

The chasm can happen throughout the early adopter’s phase, you have to be alert and responsive enough to find solutions quickly enough to bridge this and ‘cross that chasm.’ Pivoting on the parts that are good, exploring the parts that are needed.

The five adopter categories are:

Innovators– venturesome, risk-taking, information seeking, early seeking status and very experimental, enjoy the degree of early challenge or even uncertainty involved.

Early adopters– Often respected opinion leaders within their social groups, seen often as role models for others.

Early majority – more deliberate before adopting new ideas; interact frequently with peers and trendsetters. They like to merely stay ahead within the curve from that more informed decision-making.

Late majority – Tend to be sceptical, cautious to adopt but ‘feel’ pressure of peers to adopt, tend to need intervention strategies to overcome barriers and see their ‘needs’ resolved by the innovation

Laggards – Traditional , last in the social system, often they pay little attention to opinions of others, they have more a clear point of reference in the past to overcome, are often suspicious of new innovations and their decision process is often lengthy.

Then we have the decision process or stages of adoption:

Awareness and Knowledge – refers to a customer’s acknowledgement of the presence or existence of the new innovation and where they form a general perception of what it might entail and is often driven by the intersection of need recognition through marketing communications. This is the point of being inspired to find out more.

Persuasion and Interest – this occurs when a consumer processes the available information associated with the innovation and considers the product or service’s appeal on this. This positive or negative attitude tends to be based on the five characteristics mentioned above. Here the consumer actively seeks out information and details.

Decision and Assessment – Having considered the persuasion factors the consumer will come to a decision about whether to adopt or reject the innovation. Their activity in seeking out advice, data gathering, comparing or making different assessments happen clearly here. They consider the switching costs and weigh the advantages up. This is the hardest stage to understand.

Implementation and Exploration – These are the series of activities to put the innovation to use. The consumer employs the innovation to a varying learning degree. The usefulness is determined and they may search for further information about it.

Confirmation and Adoption– is mostly concerned with post-adoption behaviour exhibited by the adopter, reinforced by the innovation’s actual delivery against the relative advantage ‘claims,’ its complexity and compatibility on their understandings. The individual finalizes their decision to continue using it or searches for extending its use to its full potential.

So in summary for this opening post:
Diffusion is the manner in which innovation spreads. It is the degree how we facilitate, accelerate, and sustain it.

There are constant difficulties in exploiting these different theories within organizations, the questions are where to place the emphasis and the means of communicating these. The process is contingent upon the structural, cultural and size and scope considerations.

You have to watch for that constantly changing the implementation requirements and lack of sufficient resources or application, as they considerable constrain the innovation outcomes and often you don’t spot these until it is too late

The execution or commercialization stage of any new innovation often fails to address the theories offered by Rogers adequately enough, then organizations often suffer poor diffusion and adoption rates, unaware of the considerable efforts this stage of understanding diffusion and adoption needs to address.

The second part of this post will deal with….

My second post in this diffusion and adoption discussion will deal with managing within a far more fluid set of conditions than we have seen to be facing previously.

The combination of technology, social media and the internet gained a ‘closer’ relationship with final consumers encouraging engagement and feedback has introduced a far more dynamic environment.

Innovation adoption or rejection is getting riskier, and far more complex and we need to bridge the learning gaps far better and smarter. Are Roger’s theories still relevant or even more so today and in the future?

Then the third post provides different examples of diffusion and adoption and offers a starters list of why diffusion can often fail to occur.

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Publishing note:  This blog post was originally written on behalf of Hype and with their permission, I have republished it on my own site. I recommend you should visit the Hype blog site where they have a range of contributors writing about a wide-ranging mix of ideas and thoughts around innovation, it’s well worth the visit.

The post Exploring Diffusion and Adoption for Innovation – Part 1 first appeared on Building Your Innovation & Ecosystem Intelligence.