Category Archives: Innovation

Chance to Help Make Futurism and Foresight Accessible

I’ve been hard at work building all kinds of tools to help innovation, change, transformation and design thinking practitioners be more successful in their jobs.

The number of human-centered tools in the Change Planning Toolkit v13 from the initial fifty (50) to more than SEVENTY.

I also introduced lots of inexpensive tools like the:

  1. $9.99 – Problem Finding Canvas
  2. FREE – Innovation Maturity Assessment
  3. FREE – Visual Project Charter™
  4. FREE – Experiment Canvas™
  5. FREE – ACMP Standard for Change Management® Visualization

And the core of the forthcoming Human-Centered Innovation Toolkit is well underway.

But I’ve also been exploring the very obtuse realm of futurism and foresight and pondering how to make it more accessible to us ordinary humans, and I think I’ve done it!

Chance to Help Make Futurism Accessible

I’ve created a set of TWENTY (20) simple but powerful foresight and futurism tools to power my FutureHacking™ methodology.

To spread them farther and faster I’m looking to partner with a forward-thinking organization to bring them to market.

  • Does your organization view itself as leading its customers into the future?
  • Are you looking for an amazing marketing opportunity?
  • One that would empower thousands of innovation and strategy professionals to do their own foresight and futurism work?

If so, then contact me here and we’ll build a launch plan together that connects your brand to a powerful new FutureHacking™ movement!

FutureHacking Tools Collection

Benefits to you will include, but will not be limited to:

  1. Joint promotion of your brand via my site, social media, email newsletters, etc.
  2. Presence of your logo as a sponsor on the tools and educational assets
  3. Access to the tools for your employees
  4. Other ideas you suggest!

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The Suggestion Box Strikes Back!

How collaboration platforms can turbocharge your innovation efforts

The Suggestion Box Strikes Back!

GUEST POST from John Bessant

Organizations need to innovate. So far, so blindingly obvious. But they also need to innovate their innovation approaches; the best recipes may no longer work in a context which is continually changing. Smart players recognize that they need to add innovation model innovation to their repertoire — constantly reviewing what they do to organize and manage the process of creating value from ideas and, if necessary, adapting it.

Sometimes this will involve dramatic change. Think, for example, of the way Procter and Gamble have been re-engineering their whole business over the past twenty years from a model dominated by internal R&D to an open approach based on ‘Connect and develop’. Or how capital goods giants like Caterpillar and Rolls-Royce have shifted the entire basis of their business towards ‘servitization’, no longer developing and selling new products but rather renting out capabilities like ‘power by the hour’. This has required them to rethink the entire innovation model, putting customer focus much more center stage and involving extensive partnerships and strategic alliance to deliver the whole new package of service.

But often it’s a quieter revolution, a gradual change in which new routines emerge or existing ones are upgraded to work in new ways, deploying new mechanisms to make them work better. That’s been the story of the suggestion box.

Smart People Don't Always Have Smart Ideas

‘….the beauty of it is that with every pair of hands I get a free brain!’

It’s a very old idea, and an obvious one. People are smart so why not tap into their ideas to help with the innovation agenda? Ask them, and you might be surprised at what they have to offer. Elements of this approach can be found in the medieval guild system where it was used to help develop and improve craft skills and practices. It was an idea which the eighth shogun of Japan, Yoshimuni Tokugawa tried out in 1721 with his ‘Meyasubako’, a box placed at the entrance of the Edo Castle for written suggestions from his subjects. And the British navy pioneered a similar scheme in 1770, asking its sailors and marines for their ideas — significantly reassuring them that such suggestions would not carry the risk of punishment!

By the time of the Industrial Revolution innovation was recognized as a powerhouse — and not everyone thought that ideas should be confined to specialists with the workers simply employed as pairs of hands. In 1871 Denny’s shipyard on the banks of the Clyde began operating a suggestion scheme amongst its 350 employees; it enabled them to cut the time to build a warship from six months to four whilst contributing a variety of other quality and productivity improvements. And in 1892 John Paterson at the National Cash Register company in the USA began exploring ways of tapping into ‘the hundred-headed brain’ of his workforce; his success led the Eastman Kodak company to implement a similar scheme in 1896.

It wasn’t just innovation rates which improved; a growing number of studies, not least in the famous Western Electric research at the Hawthorne plant, found that asking people for their ideas and enrolling them in workplace productivity improvements had the by-product effect of better motivation and employee satisfaction. The great quality management writer Joseph Juran talked about ‘the gold in the mine’, describing how unlocking the potential of employees to add their mental weight to the innovation problem could dramatically improve quality.

By the late twentieth century these ideas were widespread; the 1980s total quality revolution gave birth to lean thinking and with it the core recognition that asking people for their ideas was a pretty smart way of driving up productivity, whatever the setting.

Thinking Inside the Box

Thinking inside the box

So a great idea — but not without its limitations. The trouble with suggestion boxes and schemes is that they bump up against some unfortunate logistical challenges. Even in the best-intentioned companies, with enlightened leadership supporting the concept and innovation facilitators trying to make it happen the idea of high involvement quickly runs aground on some simple arithmetic around idea management.

Suppose you have a workforce of 100 people and you convince them to join in the innovation effort and suggest improvements. By the end of week one you have 100 ideas, by week four 400 and pretty soon you can get into thousands of ideas. Lots of enthusiasm and there’s no shortage of good ideas — people generally have them and have probably been carrying a backlog around with them for some time. And when they tell their friends there’s an accelerator effect; the innovation wave starts to build.

Your problem is most certainly not going to be a shortage of ideas — quite the reverse. But what do you do with them? Of course, a good percentage will be simple things which people can implement for themselves — and your job is to encourage them (and also to track the changes they’re making to ensure they don’t end up conflicting with your established operating procedures).

But a lot more will need thinking about. They may need modifying and developing from a germ of a possibility into something polished. Juran’s raw gold ore doesn’t glisten straight away, it needs processing. And some of them will need quite a lot of effort and specialist input to yield eventually valuable results.

All the while you are working on these the inflow pipeline is filling up, hundreds of ideas every week. But with the ideas also comes expectation — people not unreasonably asking ‘what are you doing with my idea?’ So you need to spend your precious time not only processing the ideas but also feeding back; sometimes this means saying no to unworkable ideas or those which don’t fit, and doing so in a way which doesn’t discourage people from suggesting further new ideas.

Walt Disney Fantasia

It doesn’t take long before you’re like Mickey Mouse in the wonderful Disney film ‘Fantasia’ where he plays the Sorcerer’s Apprentice. He tries to improve the way he deals with his household chores by a little magic spell which at first helps him out with brooms, buckets and scrubbing cloths working hard on his behalf. But pretty soon things get out of control, there’s water everywhere and an army of brushes and mops threatening to take over his world. The resulting chaos is only halted by the arrival of the master Sorcerer who magically puts things back to how they were.

It’s potentially the same with your magic spell of high involvement innovation. What began as a great movement towards innovation from everyone soon becomes a nightmare precisely because people are volunteering ideas. There isn’t the capacity to deal with them, they’re coming at you thick and fast but you can’t handle them all. And then things take a turn for the worse. People keep asking you what’s happening to their idea and when they get no response they start to grumble. They get fed up with seeing their great thoughts disappear into what seems to them to be a black hole. Nothing seems to happen and so they stop bothering to make suggestions and slip back into simply doing what they are told, albeit with a bad grace. And they tell their friends who nod their heads and agree that the system simply isn’t working, so why bother with it?

Pretty soon you’re back to where you started. Not only has the flow if ideas dried up but now people are resentful and suspicious. They won’t get fooled again; next time you come around asking for their suggestions they’re not going to give them up so easily.

Sadly, that kind of story is typical; the limitation of suggestion schemes is that they aren’t well-equipped to deal with a high volume of ideas or high levels of participation. There’s nothing wrong with the model which is why employee engagement can work so well in teams. Where the focus is local, based around workplace teams working on quality or lean six sigma a trained team can keep chipping away at its productivity improvement goals very effectively. There’s shared motivation, clear local targets and high visibility of the results. Getting everyone involved in innovation works and if you keep it going it delivers consistent bottom line benefits. The only trouble is that it’s hard to scale it.

Doctor Superhero

Technology to the rescue…

Fortunately, around the turn of the millennium things began to change. Faced with the problem of idea management a number of people began working on IT-based solutions. Their earliest attempts were little more than electronic versions of the old physical suggestion box and they had limited success. Feeding ideas into complicated spreadsheets wasn’t particularly exciting or motivating even if it was now possible to do some rudimentary tracking of those ideas.

But gradually things improved. The interface became more friendly and, with the growth of internal networks, the possibility of accessing a terminal and logging on to a screen became available to many more people. Instead of being a one-way posting process the beginnings of visibility emerged; people could see what happened to their ideas and get some feedback on them.

It wasn’t just the technology which was getting better and offering a closer match to the needs which organizations had for effective idea management. The wider context was changing too, undergoing a revolution at scale. Social networking began to emerge and quickly caught on, offering new ways to interact with people in an online space. By 2008 close to 120 million people were using the MySpace platform every day and by 2012 Facebook had a user base in excess of 1bn and growing.

This external shift opened up huge new possibilities for the ways in which interaction could happen across an innovation platform. People could not only connect but also share, like, comment, build the conversation — all features which developers of collaborative innovation platforms saw as rich in possibilities for their offering. User companies began to sit up and take notice as a new way of engaging employees emerged — one which offered the twin advantages of richness and reach. Through such platforms a high volume of people could be connected, forming the ‘neurons’ in a potentially giant innovation brain. And their activity could be extended way beyond simply posting up a suggestion; they could comment on other people’s ideas, like or suggest modifications, join into virtual teams building and shaping ideas into real innovation possibilities.

As if that wasn’t a strong enough impulse to regenerate interest in high involvement innovation we also discovered ‘crowdsourcing’ as an approach to collecting ideas. This wasn’t a new concept; back in 1714 the idea of taking a big and apparently intractable problem and asking a lot of people for their help with solving it had been deployed to great effect. Faced with the growing crisis in navigation caused by ship’s captains being unable to calculate their longitude accurately because they lacked a reliable portable timepiece the British Admiralty launched what we would recognize today as an innovation contest. With the support of the king and with the attraction of a significant financial prize the challenge was taken up and solved very effectively; the winning (and wonderful) design by John Harrison was soon being fitted to all the ships in the British navy as standard equipment.

‘Broadcast search’ of this kind undoubtedly works — the trouble was that in those days it was a difficult process to organize and manage. But with today’s powerful communications infrastructure it’s possible to set up and run an innovation contest in an afternoon and reach out to the whole world for answers. Idea marketplaces have sprung up all over the internet, connecting seekers of solutions with potential solvers; one such platform, Innocentive.com currently has a population of regular solvers over half a million strong offering their input to the various challenges posted on the site.

Tapping into such ‘collective intelligence’ in this way isn’t just about increasing the volume of ideas coming into the system. Its real value is in extending the reach, drawing in ideas from across the ‘long tail’ of different perspectives on the problem you’re trying to solve. Karim Lakhani and colleagues highlighted this effect in their detailed studies of traffic across the innocentive.com platform; the benefits came not from having tens of thousands of people working on your problem but from the diversity in approaches which they brought. Fresh minds, new insights, alternative ways of framing the problem.

Collaboration platforms 2022

Today’s collaborative innovation platform resembles its suggestion box predecessor in outline only; it’s still a way of collecting ideas from employees. But it does so in an interactive space in which challenges can be posed, ideas suggested, comments added and shaping and welding together multiple knowledge sets and experience enabled. And in doing so they open up the very real possibilities of high involvement innovation — getting everyone to contribute to the innovation story.

And it works. There are countless case studies drawn from contexts as different as aerospace and agriculture, medicine to microelectronics manufacture. High involvement works in in the public and not-for-profit world as well as in the commercial one, and the targets for such innovation range from straightforward cost-savings and productivity improvements to creating new crisis responses in the world of humanitarian aid or finding ways to improve access to shelter, health care and basic needs in the world of international development.

Where it was once the exception to find firms like Toyota reporting high levels of participation and harvesting the benefits emerging from millions of suggestions, it is now commonplace to find benefits reported in terms of million dollar savings. One of the founder companies in the idea management field, Imaginatik, has a running total on its website suggesting that their platform has enabled over 2bn ideas to be suggested, generating $1.1bn of savings; similar data emerges from other suppliers of the technology.

But it’s not just the raw return on investment which collaboration platforms offer — thought these benefits are impressive. Their real value lies in the way they have matured to enable systematic innovation routines to work at scale and across the entire process of innovation, not just the front-end idea generation.

Idea Plugin
Image: @studiogstock on Freepik

Plug’n’play?

So you might think that the answer is simple — invest in a platform if you want to turbocharge your innovation activities. But you’d be wrong, and for several reasons. First we need to remind ourselves that platforms are simply tools. They may be significantly more powerful than their predecessors but just like a power drill with lots of shiny new attachments, in the hands of an inexperienced amateur it will not deliver — and may leave you with a series of unsightly holes and marks on your wall!

In particular they need embedding in a culture which supports the underlying values and behaviors associated with high involvement innovation. If you don’t actually believe that everyone can contribute, or if you believe it but don’t commit the resources to train and enable people to deliver their ideas, then your investment in a platform will simply be a white elephant. What makes it work is a culture, an integrated suite of behaviors which are articulated, supported, reinforced until they become ‘the way we do things around here

For more on innovation-related themes like this please visit my website

And if you’d like to listen to this as a podcast please visit my site here

Image credits: Pixabay, Wikimedia Commons, Pexels, Freepik

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Innovation Practices Need a Compelling Purpose

Innovation Practices Need a Compelling Purpose

BMNT Editor’s note: This is the second in a weekly series that will explain the common beginner-steps needed to get an innovation practice off the ground or improve an existing innovation practice. Find our first post, explaining the goals of implementing a structure to guide innovation and training workers how to use it, here.

GUEST POST from Brian Miller

Private capital investors are clear about the purpose of their investments, and it’s written down in the form of a thesis or mandate. This thesis explains where they plan to invest and why. It’s used to attract capital to a fund and deploy it for a future return. Consider Not Boring Capital, a small multi-stage fund that invests in founders and companies executing on complex, non-obvious strategies aimed at huge visions.

Innovation vs ExecutionGovernment organizations seeking alignment between innovation and execution can borrow from this common practice in order to increase confidence in their investment decisions. Recall from the last post that innovation projects are not simply smaller versions of existing programs. Resources are first invested in validating a project (explore). Only after validation are significant investments made in deploying a new capability (exploit). Government leaders feel comfortable making investments in the former, but not the latter. The common risk management approach is simply avoidance, because the rewards of innovation projects seem distant and uncertain. This is magnified in the national security community, where lives are on the line and no-fail missions are prevalent.

A carefully constructed innovation thesis will help to manage this risk and focus limited time, energy, and resources. It is what key stakeholders rally around. Yet it must be detailed enough for leadership, key partners, and even skeptics to understand how developing a disciplined process – an Innovation Pipeline® – will address the significant challenges facing the organization. Above all, it helps to build consensus and commitment. Otherwise, capabilities that emerge from an innovation practice will become orphans, never to be adopted by the enterprise.

What an innovation thesis consists of

Like the private sector, a public sector innovation thesis defines where to invest and why. It helps to filter out “nice to have” projects from the “must have.” It consists of two major parts:

1. A unique perspective on where relevant fields are going and the sorts of challenges that lie ahead. For example:

  • Emerging surveillance technology and the evolution of tradecraft for an intelligence service
  • Leaps in healthcare delivery for the Department of Veterans Affairs
  • Advanced manufacturing for the Department of Commerce
  • Commercial space investments for the U.S. Space Force and NASA

2. The types of ideas the organization will (and will not) invest in, informed by their desirability, viability and feasibility.

Desirability Feasibility Viability

How to create one

Designing an innovation thesis takes four general steps, which can be accomplished in a single day with the right stakeholders and a trained facilitator.

1. Map the organization’s current “mission model”

  • The organization’s approach to satisfying customers and partners
  • The various ways it does so (e.g., capabilities, products, services)
  • The senior leaders, end-users, subject matter experts, saboteurs, and enablers whose buy-in and support is needed to see results (e.g., legal, contracts, policy, IT, security)

2. Map the key trends and consequential forces affecting the organization’s mission. For example:

  • Emerging technology
  • Budget forecasts
  • Policy development
  • Political shifts
  • Availability of key resources

3. Identify the gaps or misalignment between 1 and 2

4. Consider how to best fill them by changing the mission model (in theory) and what innovations must be realized to do so (in practice)

Output

Such an exercise will easily generate an artifact to communicate updated direction and guidance from senior leadership to the rest of the organization and its partners. It does not need to be anything more than a short memo or a succinct slide deck. All that is required is that it yields a clear idea of how the world is changing and how the organization intends to counter or take advantage of the momentum.

Next, a minimum viable team can begin to execute the strategy.

Image credits: BMNT

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Innovation Requires Constraints

Innovation Requires Constraints

GUEST POST from Greg Satell

Some years ago, I wrote an article in Harvard Business Review about stock buybacks, which were being pilloried at the time. Many people thought that companies were spending too much money to gin up their stock price when they could be investing those funds into innovation, making better products and creating new markets.

Yet I pointed out that things weren’t as they seemed. As Clayton Christensen had showed around the same time, there was a superabundance of capital (in response to the financial crisis, central banks had been flooding markets with money) and corporations had more money than they could profitably invest.

I also suspected, although the evidence was scant at the time, that the extra money was going to Silicon Valley startups, which seemed to me to be less potentially problematic, especially when the public sector was being woefully underfunded at the same time. Today, we can see the results and they aren’t pretty. Without constructive constraints, even good ideas go bad.

The Chimera of Mass Adoption

Shai Agassi had a good idea. His key insight was that electric cars couldn’t survive without an ecosystem of charging stations. Therefore, he reasoned, to spur mass adoption you needed to develop the cars and the charging stations in tandem. Once you relieved the problem of “range anxiety,” so the theory went, ordinary consumers would buy in.

An entrepreneur at heart, Agassi started a company, Better Place, to make his vision a reality and, with the support of a wide array of celebrities and politicians, raised nearly a billion dollars of venture capital. It seemed like a sure winner. After all, with that much money and star power, what could go wrong?

As it turns out, everything could go wrong. From the design of the cars, to the charging stations to the batteries themselves, every detail was fraught with problems. But with so much money, Agassi could continue to press forward, sell his vision and win over partners. Instead of resolving issues, they multiplied. In a few short years, the company was bankrupt.

The truth is that, outside of software, going after mass adoption from the start is usually a bad idea. Rather than trying to please everybody at once, you are much better off focusing on a hair-on-fire use case—a small segment of customers that has a problem they need solved so badly that they almost literally have their hair on fire—and building up from there.

Incidentally, that is exactly what Elon Musk did with Tesla. He didn’t try to build for the mass market, but for Silicon Valley millionaires who wanted a cool, eco-friendly car and wouldn’t need to rely on it for everyday use. That foothold allowed the company to learn from its inevitable mistakes, improve the product and its manufacturing process and, eventually, to prevail in the marketplace against much bigger, but more traditional, competitors.

Buying Into The Silicon Valley Myth

While Agassi’s idea had a certain logic to it, Adam Neumann’s is much harder to figure out. Essentially, he sold investors on the idea that renting coworking space to businesses, which was not at all a new or innovative idea, could somehow be married with some Silicon Valley pixie dust. The result was WeWork, a $47 billion debacle.

While WeWork is, in many ways, an exceptional case, in others it is surprisingly mundane. For more than a decade, investors—and the business community at large— have bought into the Silicon Valley myth that its model of venture-funded entrepreneurship is widely applicable outside of software and consumer gadgets. It is not.

The truth is that Silicon Valley’s way of doing business was a specific solution that applied to a limited set of industries where low or near-zero marginal costs and the potential for network effects made increasing returns to investment not only possible, but a legitimate business planning objective.

Unfortunately, when you try to apply those same business principles to an industry where those conditions do not exist, you essentially get a Ponzi scheme. As long as investors continue to pour money in, the business can continue to win market share by undercutting competitors on price. Eventually though, as in the case of WeWork, the bottom falls out.

The Cult of Talent

Better Place and WeWork, as well as other notable “unicorn debacles” such as Uber and Theranos, are cautionary tales. Venture capitalists, believing in their own brilliance as well as their ability to spot it in others, shoveled money into founders with questionable ideas and, as soon became apparent, even worse morals.

But what if you could have the best of both worlds? What if you could take all of that Silicon Valley venture money and, instead of throwing it all at some young hotshot, invest it in some grizzled veterans with real track records. Instead of betting on a long shot, you could essentially put your money on a proven performer.

That, essentially, was the idea behind Quibi, a short form video company founded by Jeffrey Katzenberg, who revived Disney’s animation studio and then went on to even greater success as Co-Founder of Dreamworks, and Meg Whitman, who led eBay from a small startup of 30 people to become a global powerhouse employing thousands and earning billions.

Yet these two old hands, with all of their experience and know-how, somehow managed to do even worse than the more obviously incompetent Agassi and Neumann. Despite raising more than $2 billion, within seven months of launching, Quibi acknowledged defeat, shutting down operations and vowing to return whatever money that was left over to investors.

A Recurring Pattern of Fundamental Fallacy

It’s not hard to see an underlying pattern in all three of these massive failures. Venture investors, whose model is based on the principle that one outsized success can easily make up for any number of failed ventures, have come to believe that betting big can increase the chance of hitting that unlikely triumph.

What they don’t seem to have considered is that too much money can make a good idea go bad. Clearly, electric cars can succeed in the marketplace. Coworking spaces have been a viable business model for decades. There’s no question that Katzenberg and Whitman are talented executives. Yet, with the massive support of investors, they all failed massively.

Yet researchers have known for decades that creativity needs constraints. When you have a limited budget, you simply don’t have the luxury of ignoring problems. You have to face up to them and solve them or you won’t survive. When you have virtually unlimited resources, however, you can leave the hard stuff till another day. Eventually, it all comes crashing down.

Unfortunately, as Charles Duhigg explains in a piece in The New Yorker, that Silicon Valley investors who are seen as insufficiently “founder friendly,” now find themselves shut out of the best deals. Further research has begun to show that these tendencies, souped up by an overabundance of capital, have begun to crowd out good investments.

Or, put another way, Silicon Valley is building a doomsday machine and we desperately need to get off.

— Article courtesy of the Digital Tonto blog
— Image credit: Unsplash

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Encouraging Creative Confidence in Teams

Encouraging Creative Confidence in Teams

GUEST POST from Art Inteligencia

Creativity is the lifeblood of innovation. In an era where organizations must continuously adapt and innovate to stay competitive, the need for creative confidence among team members has never been greater. Creative confidence isn’t just about having creative ideas; it’s about having the courage to act on them. This article explores strategies for cultivating creative confidence within teams and provides illustrative case studies.

The Significance of Creative Confidence

Creative confidence is crucial because it empowers individuals to venture beyond conventional boundaries, engage in problem-solving with a fresh and diverse perspective, and ultimately drive transformative change. Often, teams have inherent creativity, yet it remains untapped because members may feel intimidated, undervalued, or uncertain about expressing their ideas.

Empowering teams with creative confidence involves nurturing an environment where people feel safe to express themselves without fear of criticism or failure. Howard Schultz, former CEO of Starbucks, summed it up appropriately when he said, “Risk more than others think is safe. Dream more than others think is practical.”

Components of Creative Confidence

  • Psychological Safety: Creating an environment where team members feel secure enough to take risks and share their thoughts openly.
  • Growth Mindset: Encouraging a mindset that views challenges as opportunities to learn, rather than obstacles to success.
  • Collaboration and Diversity: Valuing diverse perspectives and leveraging collective intelligence to foster creativity.
  • Iterative Experimentation: Promoting the idea that innovation is a process characterized by iterative testing, learning, and improvement.

Strategies to Build Creative Confidence

1. Foster a Safe Environment

Instill a culture where failure is viewed as a part of the innovation journey, not a career-ending mistake. Encourage team members to share ideas without fear of criticism. Leaders play a crucial role in modeling this behavior by sharing personal experiences of failure and lessons learned.

2. Embrace a Diversity of Perspectives

Innovation thrives in diverse environments. Empower teams to embrace varying points of view, background experiences, and expertise. This diversity fuels new ideas and approaches that might not be considered in homogenous groups.

3. Encourage Experimentation

Create opportunities for team members to experiment with new ideas through pilot projects or prototyping sessions. Encourage short iterations and maintain an iterative mindset towards product enhancement and service development.

4. Establish a Feedback Culture

Nurture regular feedback mechanisms that are constructive and actionable. Encouraging feedback from various stakeholders increases the range of insights and perspectives, aiding idea refinement.

5. Cultivate a Growth Mindset

Promote a culture where learning is seen as a continuous journey. Recognize and celebrate effort, resilience, and improvement. Showcase real-world examples of how embracing challenges leads to innovation.

Case Study 1: Google’s 20% Time

Google’s “20% Time” initiative is an exemplary case of promoting creative confidence. Engineers and employees are encouraged to spend 20% of their time on projects they are passionate about, outside of their usual work responsibilities. This policy has led to the creation of new innovative products, such as Gmail and Google News.

The “20% Time” initiative shows the power of providing space for creative thought. By trusting employees to explore their ideas, Google harnessed a wealth of creativity that has demonstrably contributed to the company’s growth and innovation pipeline.

Case Study 2: 3M’s Innovation Culture

3M, a world leader in innovation, has created a culture that balances formal structures with the flexibility needed for creativity to flourish. Their “15% Time” rule is a policy allowing employees to spend up to 15% of their working hours on projects that captivate them, akin to Google’s system.

This commitment to creative exploration has paid off tremendously: approximately 30% of 3M’s annual revenues come from products invented within the last five years. The company encourages cross-disciplinary collaboration and ensures a low-risk environment where inventiveness is encouraged and tangibly rewarded.

Conclusion

Encouraging creative confidence in teams is a significant component of sustaining innovation within organizations. By creating environments that nurture psychological safety, diversity, experimentation, feedback, and a growth mindset, your organization can harness the creative potential of its people to drive meaningful change.

Remember, while some strategies may work better for specific environments or industries, the underlying principle remains the same: fostering an environment that encourages creativity and innovation holds the key to navigating and succeeding in the complex landscape of modern business.

The road to creative confidence is a journey, not a destination. By diligently implementing these strategies and learning from the experiences of others, any organization can amplify its innovative capabilities and achieve extraordinary outcomes.

Extra Extra: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Unsplash

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Creating the World’s Best Change & Transformation Book

The Perfect Change & Transformation BookOn Friday I was speaking with my publisher Palgrave Macmillan (now part of Springer) about doing a second edition of Charting Change.

This means that my publisher is interested in having me create a new version of Charting Change that would include most, if not all, of the content contained in the first edition, while also adding thousands of words of new insights (plus new pictures and tools).

This causes me to ask you the following questions:

  1. What human-centered change and transformation topics are missing from Charting Change?
  2. What information would the perfect change & transformation book contain?
  3. What tools do change management professionals and transformation leaders need to enjoy greater success in their jobs, projects, and programs?
  4. Toolkit subscribers – which of my new tools should I highlight in the second edition that I didn’t introduce in the first edition?
  5. Who do you think has something compelling to add to the conversation in an additional guest expert section in the book? And what is the topic you want to hear from them on?

Charting Change introduced my Human-Centered Change™ methodology and a suite of 50+ tools available for purchase (book buyers get access to 26 of the 50+ tools). That toolkit has since grown to a collection of 70+ tools available to toolkit subscribers.

Thank you so much to everyone who has supported the first edition thus far and also to my Human-Centered Change™ Toolkit subscribers.

I’m interested to hear in the comments below your thoughts on the questions above!
(or send me an email)

If you don’t already have a first edition copy of Charting Change, you can get one here:

https://www.amazon.com/dp/1137536950/
(support my sharing of free Human-Centered Change & Innovation tools and insights)

And don’t forget to download your Free Human-Centered Change Tools!

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Skills for Leading Innovation

Developing Future Leaders

Skills for Leading Innovation

GUEST POST from Art Inteligencia

In today’s rapidly accelerating world, innovation is not just a buzzword—it is a critical business capability. Organizations that are unable to innovate risk falling behind their competitors. As such, developing leaders who can successfully navigate and drive innovation is crucial for sustainable success. But what skills do future leaders need to lead innovation effectively? This article dives deep into the essential skills and mindset shifts necessary for fostering future leaders capable of steering innovation.

The Imperative for Innovative Leadership

Change is the only constant in business, and innovation is its engine. Future leaders must embrace this reality and work to harness the power of innovation to solve complex problems, exploit new opportunities, and drive growth. But innovation is not an easy path—it requires a blend of creativity, strategic thinking, resilience, and empathy for the end-user. To successfully lead innovation, leaders must develop a unique set of skills that transcend traditional management practices.

Key Skills for Leading Innovation

  • Visionary Thinking: Innovation starts with a vision. Future leaders must possess the ability to see beyond the horizon and imagine what could be. They need to be able to connect the dots between disparate ideas and recognize their potential for creating something entirely new.
  • Creativity and Experimentation: The ability to foster a culture of creativity and experimentation is crucial. Innovative leaders encourage their teams to explore new ideas, embrace failure as a learning opportunity, and iterate quickly.
  • Empathy and Human-Centered Design: Successful innovation is grounded in a deep understanding of user needs. Leaders must develop empathy to better understand their customers and tailor solutions that resonate on a human level.
  • Adaptability and Resilience: The path to innovation is fraught with uncertainties and setbacks. Leaders must be adaptable and resilient, embracing change and pivoting strategies as necessary to stay on course.
  • Collaboration and Networking: Innovation is rarely the result of solitary genius. Future leaders must excel at building diverse teams and fostering collaboration across organizational boundaries.
  • Communication and Storytelling: Leaders need to effectively communicate their vision for innovation and rally stakeholders around their ideas. Storytelling is a powerful tool in this regard, helping to make complex concepts accessible and inspiring action.

Case Studies in Innovative Leadership

Case Study 1: Google’s 20% Time

Google has long been hailed for its culture of innovation, much of which can be traced back to a policy known as “20% time.” This initiative allows employees to dedicate 20% of their work time to projects outside their usual responsibilities that they are passionate about. This freedom to explore and experiment has led to the creation of highly successful products like Gmail and Google News.

The introduction of 20% time exemplifies how Google has cultivated a leadership style that emphasizes creativity, experimentation, and trust in employees. Leaders at Google have understood the importance of giving employees the autonomy to innovate, demonstrating that future leaders must create environments where teams feel empowered to explore their ideas.

This case study accentuates the critical role of visionary thinking and a culture that embraces risk and creativity in leading innovation.

Case Study 2: LEGO’s Turnaround through Open Innovation

Once on the brink of bankruptcy in the early 2000s, LEGO has since transformed into a powerful force in the toy industry, thanks largely to its commitment to open innovation. The company’s leadership realized that internal innovation alone wasn’t enough. Instead, they embraced open innovation by leveraging their fan base to contribute new ideas for products and designs.

LEGO’s initiative known as “LEGO Ideas” is a platform where fans can submit their own concepts for new LEGO sets. Successful ideas, after gaining sufficient community support, can become official products, sharing a portion of sales with the creators. This approach has led to a renewed sense of creativity and connection with the consumer base.

The LEGO case study highlights the importance of collaboration, community engagement, and leveraging external networks to drive innovation. It also illustrates how adaptability and a willingness to embrace new operational models are pivotal skills for future innovation leaders.

Mindset Shifts for Leading Innovation

Beyond skills, future leaders must also embrace certain mindset shifts to foster a culture of innovation. Here are some key shifts to consider:

  • From Control to Empowerment: Traditional leadership often focuses on control and predictability. However, to spur innovation, leaders need to empower their teams with autonomy and decision-making capabilities.
  • From Perfection to Iteration: Innovation thrives in environments where imperfections are seen as part of the learning process. Leaders should encourage iterative processes and learning from failures rather than striving for perfection from the outset.
  • From Solving Problems to Creating Opportunities: While problem-solving is important, innovative leaders focus on creating opportunities and envisioning new possibilities that disrupt the status quo.
  • From Hierarchies to Networks: Recognizing the value of horizontal networks over traditional hierarchical structures can enhance collaboration and the flow of ideas.

Conclusion

Developing future leaders with the required skills and mindsets to lead innovation is not a singular effort but a continuous journey. It requires shifts in organizational culture, as well as targeted efforts to nurture skills like visionary thinking, creativity, empathy, adaptability, and collaboration. Organizations that invest in cultivating these capabilities in their leaders will be better positioned to harness the power of innovation, driving growth and resilience in the face of an ever-evolving business landscape.

As we look to the future, it is clear that the leaders who will thrive are those who understand that innovation is not just about technology but is intrinsically human-centric, focusing on creating value, engaging stakeholders, and transforming the way we live and work.

Extra Extra: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Unsplash

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The Role of Quantum Computing in Future Innovations

The Role of Quantum Computing in Future Innovations

GUEST POST from Chateau G Pato

In today’s rapidly evolving technological landscape, innovation is not merely a competitive edge but a necessity. At the heart of future technological advancements lies quantum computing, an enigmatic yet revolutionary field teetering on the brink of mainstream viability. Quantum computing’s potential is vast, with the promise of transforming industries and solving complex problems deemed intractable by classical computers. This article delves into the role of quantum computing in future innovations, highlighting how this powerful technology is poised to reshape our world.

Understanding Quantum Computing

Quantum computing is a paradigm shift from classical computing. While classical computers encode information in binary bits (0s and 1s), quantum computers use quantum bits, or qubits. Through properties such as superposition and entanglement, qubits can perform calculations exponentially faster than classical bits.

Superposition allows qubits to exist in multiple states simultaneously, enabling quantum computers to process a vast number of possibilities at once. Entanglement, another fundamental property, allows qubits that are entangled to influence each other, no matter the distance separating them. These unique features enable quantum computers to tackle problems involving vast combinatorial spaces, optimization, and simulation tasks with unprecedented efficiency.

Potential Innovations Through Quantum Computing

The potential impact of quantum computing spans many sectors, including healthcare, finance, chemistry, logistics, and artificial intelligence (AI). Here, we explore several promising areas whereby quantum computing could drive future innovations:

  • Drug Discovery and Material Science: Quantum computing can simulate molecules at the quantum level, which allows researchers to understand interactions and reactivity better. This capability could lead to discovering new drugs and materials far faster than today’s time-consuming trial-and-error experiments.
  • Optimization Problems: Complex optimization scenarios exist in logistics, supply chain management, and financial modeling. Quantum algorithms, notably the Quantum Approximate Optimization Algorithm (QAOA), have the potential to solve these rapidly and with greater accuracy.
  • Cryptography and Security: Quantum computing challenges current cryptographic systems, threatening conventional encryption methods. However, it also provides pathways for creating potentially unbreakable encryption forms through quantum cryptography, like Quantum Key Distribution (QKD).

Case Study 1: Transforming Healthcare with Quantum Computing

In the healthcare industry, the pharmaceutical giant GlaxoSmithKline (GSK) is exploring quantum computing to revolutionize drug discovery. The traditional process of drug discovery is ineffably slow and expensive, often taking over a decade and costing billions to bring a new drug to market. Part of this immense challenge lies in correctly predicting how complex molecules will behave.

GSK has partnered with various quantum computing companies to accelerate molecular modeling and simulation tasks. By leveraging quantum algorithms, GSK can analyze how potential drug compounds interact with bodily proteins, simulating thousands, if not millions, of configurations. Early trials have demonstrated that this quantum-enhanced approach significantly reduces the time required for identifying viable compounds, thereby cutting down development times and costs drastically.

Case Study 2: Optimizing Global Logistics

World-leading logistics company DHL has embarked on quantum computing projects aiming to optimize its sprawling global operations. One significant challenge in logistics is route optimization under shifting conditions, a notoriously complex problem that classical approaches tackle slowly and often inefficiently.

DHL is piloting a quantum computing strategy to efficiently optimize supply chains and delivery routes, dramatically reducing fuel consumption and operational costs. By applying Quantum Approximate Optimization Algorithms in simulations, DHL identified optimal routes and strategies that would have been impossible with classical computers due to the sheer number of variables. Initial reports from pilot programs reveal savings of up to 15% in operational efficiency, showing the transformative potential when these quantum methodologies are applied at scale.

The Road Ahead

The journey towards fully realizing quantum computing’s potential is not without its challenges. Large-scale, error-free quantum computers are still in development, requiring photonic, trapped ion, and superconducting qubit technologies to advance. Despite these hurdles, steady progress is being made, with government and private sectors investing heavily in research and development.

Quantum computing holds the promise of reshaping many facets of modern life, driving a future brimming with groundbreaking innovations. While it may take time, its transformative power cannot be understated, pushing the boundaries of what’s possible in computing.

As we stand on the cusp of this quantum revolution, organizations must be strategic and foresighted, preparing to integrate quantum computing into their innovation roadmap. After all, in the realm of technology, those who embrace change and pioneer new frontiers set the stage for enduring leadership.

As we continue to explore and expand our understanding of quantum computing, we edge closer to a future where its immense potential is unleashed, driving innovation across domains and reshaping our world in unimaginable ways.

Extra Extra: Because innovation is all about change, Braden Kelley’s human-centered change methodology and tools are the best way to plan and execute the changes necessary to support your innovation and transformation efforts — all while literally getting everyone all on the same page for change. Find out more about the methodology and tools, including the book Charting Change by following the link. Be sure and download the TEN FREE TOOLS while you’re here.

Image credit: Pixabay

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Impact of Cultural Differences on Innovation

Innovation and Impact of Cultural Differences

GUEST POST from Jesse Nieminen

The effects of cultural differences for innovation are an interesting and extremely multifaceted topic.

For most of us, it probably goes without saying that cross-cultural and multicultural capabilities are crucial in today’s globalized and hyperconnected world, and innovation is no exception. These capabilities are especially important if you’re working on it in a large international organization, as many of our customers are.

Such an organization must obviously think about how to adapt new innovative products and services to the cultures and unique characteristics of different markets and regions. But, in addition to that, they also need to manage the cultural differences within their organization while trying to innovate. Given that we have customers all over the world, it’s a theme we often get asked about.

And, of course, there’s also the age-old debate about the cultures of certain regions or countries being better suited to innovation to begin with.

So, in this today’s article, we’ll dive deeper on this nuanced topic and each of those three themes around cultural differences in innovation. We’ll also end by providing you with practical advice on how to look at and take these into account in your innovation work.

How can cultural differences be observed?

However, before we dive deeper, let’s first take a step back and consider the question of how to observe cultural differences in the first place.

I’m sure we all agree that there are significant cultural and behavioral differences between people coming from different backgrounds, be it based on geographical, ethnic, religious, or just the past corporate cultures people have been a part of.

As these differences are often hard to pin down, people usually have an innate urge to try to group people into specific buckets to make sense of those differences. There are significant challenges in doing that as it can lead to putting people into predefined boxes and reinforcing stereotypes, and then treating people based on those stereotypes instead of the individuals they really are. That is why these kinds of approaches shouldn’t be considered universal truths or used as recipes for making decisions even from a purely pragmatic point-of-view, let alone from an ethical one.

Still, with that major caveat, there are also benefits in using such frameworks since they can help us make sense of the world in a more structured way. They can help everyone get a better understanding of the big picture and can serve as a starting point for creating a shared understanding, as well as debating the practical implications of cultural differences.

There are many such methods available, but the general approach is always the same: to break a culture down into several behavioral and/or value-based dimensions ranging from one extreme to another, and then rating each culture on each of these dimensions to form an overview of their respective cultures.

The most popular and widely researched of these are probably the GLOBE project, and the Hofstede cultural dimensions model, but there are also other popular ones like the Culture Map. Each of these frameworks uses the above described approach, and most of the research on them is primarily focused on the differences between individual nations. Having said that, the same approaches have also been applied to other levels, such as gender, organizational, etc. often just with slightly different dimensions.

Next, we’ll briefly explain the Hofstede cultural dimensions model because it’s one of the earliest, and by far the most popular model in the field. If you’re already familiar with the model, you can skip the next paragraph and jump right into the takeaways.

Hofstede’s Cultural Dimensions

Geert Hofstede worked at IBM back in the 60’s when it was one of the first true global, multinational corporations. As part of his work on improving cross-cultural communication, he ran the same survey on values for more than 100,000 employees from different countries and analyzed the differences, which then led to the creation of his model some years later.

Initially the model consisted of four dimensions, but upon additional research, has since been expanded to six. I’ll briefly explain each of these next, and then share a few examples to illustrate how that works.

Power Distance Index (PDI) determines how equally power is distributed and how hierarchical a society is. High scores indicate a structured and hierarchical society, whereas low values indicate a more distributed power structure and willingness to question authority.

Individualism vs. Collectivism (IDV) looks at how heavily individuals are integrated into groups. This is mostly self-explanatory, but it’s worthy pointing out that collectivist cultures are highly loyal to the close-knit groups they belong to.

Uncertainty Avoidance (UAI) determines how much ambiguity and uncertainty a society is comfortable with. High scores indicate that a society values clear, often strict, rules and guidelines and believes in there being a “singular truth”. Low scores mean that a society is more willing to explore new ideas and divergent thoughts and is less structured overall.

Masculinity vs. Femininity (MAS) is of a dimension that’s subject to some controversy, but here refers to values associated with traditional gender roles. A masculine society values achievement, assertiveness, and material rewards for success, whereas a more feminine one values cooperation, modesty, care, and quality of life.

Long-term orientation vs. Short-term orientation (LTO) is pretty self-evident. Long-term oriented societies tend to think more about the future and view adaptation and pragmatic problem-solving as important, whereas more short-term oriented one tends to value traditions and the current state and be less willing to change.

Indulgence vs. Restraint (IND) in turn refers to how much a society indulges and encourages freedom for individuals to “just have fun and enjoy life”. More restrained societies tend to have stricter social norms regarding such behavior as they see these indulgences as counter-beneficial for bigger, longer-term ambitions.

There’s been some research on how these tendencies affect innovation, and as you can probably guess, some tend to be more favorable for high innovation performance than others. Which brings us to the big question: are some cultures intrinsically better at innovation than others?

Are some cultures better than others at innovation?

Well, in short, the answer is yes. At least to some extent. As mentioned, there’s research that shows a relatively strong correlation between certain cultural characteristics and innovation performance.

However, here it’s worth pointing out that almost all of the research done on the topic would seem to focus on country level data as that is widely and freely available thanks to studies like the Global Innovation Index (GII).

While certainly useful, we should take these findings with a grain of salt due to a number of factors, such as the studies again being high-level generalizations based on correlations, and the indices like GII being predominantly focused on inputs for innovation such as education and R&D spending. Even the output focused parts tend to be a bit biased towards activity metrics, such as number research papers and patents, instead of the real value and economic impact of innovation.

What’s more, I think it’s important to point out that most natural cultures evolve much slower than the GII rankings change, so it should be quite evident that there are also many other factors than culture that affect these scores.

But with that out of the way, let’s now look at the actual findings.

Characteristics of top innovation cultures

Based on the available studies, there would seem to be a pretty good consensus on the ideal innovation cultures having the following characteristics on the Hofstede model, in rough order of importance:

  • Low power-distance
  • High levels of long-term orientation and pragmatism
  • High levels of individualism
  • High levels of indulgence
  • Low levels of uncertainty avoidance
  • Lower levels of masculinity

These findings are obviously mostly in line with what most of us think of as a pro-innovation culture, so there aren’t really that many surprises here.

If people can question authority, are comfortable with ambiguous and uncertain environments, and can think about the long-term instead of just the next quarterly results, innovation is a lot more likely to happen.

While there’s more to innovation performance than culture, certain characteristics are likely to lead to a culture being better at innovation.

In most studies, the level of masculinity seemed to make the least amount of difference of any of the variables for innovation performance. Some studies found no correlation, but some did find a preference for a feminine, more collaborative culture instead of the more competitive and assertive, masculine one.

However, in my opinion, the most interesting findings are that high levels of individualism and indulgence are favorable for innovation, when intuitively we might think that a culture that is more collaborative and favors restraint and delayed gratification would be preferable.

This can be explained with the way that the Hofstede dimensions are constructed.

A more collaborative culture is one where certain in-groups, typically your own family, come first, and where loyalty and obedience are absolute values. So, collaboration according to the Hofstede model isn’t so much for the “greater good”, but more about the benefit of that specific “inner circle” ahead of your own interests. More individualist societies, on the other hand, tend to be more comfortable disagreeing, exploring, and “letting the best ideas win”, which is what likely led to these cultures over-performing.

A similar explanation also applies for the preference for indulgence. According to the authors of the study linked above, people in indulgent cultures have a greater drive for improving things and making life more enjoyable, and are generally more optimistic, which they viewed as the primary factors driving innovation here, perhaps alongside a general willingness to just try new things.

So, in that context, I do think the findings make sense, but I think it’s also a good example of some of the challenges associated with more nuanced sides of these cultural frameworks.

Takeaways from country level innovation performance

Looking at the GII study, and the mapping of the top countries from that to the Hofstede model, there are a couple of points worth noting out.

Viima Hofsted Insights GII study of cultural dimensions

First, the top countries in the GII are pretty much what most people would probably expect. The top 15 consists primarily of the US, the Nordics, as well as some Western European and East Asian countries.

However, the interesting part is that when we map these out to the Hofstede model, it’s immediately obvious that even the top performing countries are essentially all over the spectrum. Once we look a bit closer, it’s also evident that no individual country has the perfect innovation culture, as defined above.

To elaborate further, I think there are a few key takeaways from all of this:

  1. There’s more than just one way to be a great innovator
  2. While there are a few distinct types of cultures that generally do better, every culture has its own strengths and weaknesses when it comes to innovation
  3. You can improve your odds of succeeding at innovation by quite a bit if you recognize the biases of your culture that are likely holding you back

Top performing organizations should thus take these biases and cultural differences into account, and purposefully shape an organizational culture that is distinct from the average of any individual country and instead designed to drive more innovation. Here, diversity can be a real asset, but that’s another massive topic on its own.

Every culture has its own strengths and weaknesses when it comes to innovation. You can improve your odds of succeeding at it by recognising the biases that are holding yours back.

Having said that, there’s quite a bit more to creating this kind of an innovation culture than just what the Hofstede model captures, and we’ve written about that in detail in this earlier article.

However, one aspect that I’d like to highlight here is that innovation is requires a strong combination of both exploration and execution, so your culture should have a good mix of capabilities in both extremes.

If you’d like to start shaping your culture in practice, you can download our free Innovation Culture Toolkit for actionable tools that can help you do just that.

With that said, let’s now move on to the more practical implications of cultural differences for innovation work.

Multi and cross-cultural innovation capabilities

Let’s start from the first and most obvious challenge innovators in a globalized world face: how can their products and services, as well as sales and marketing efforts be relevant when doing international business, especially in different, highly culturally diverse regions?

In certain situations, and for certain products, it can be completely fine to just do minor localizations like translations, and primarily use the same channels, models, and messaging across the world. This will keep things much simpler and there are situations where these benefits can outweigh the costs for both your customers and your business. For example, this is the route we’ve so far decided to take with Viima.

Having said that, if you don’t adapt your offering and operations to different cultural and market preferences, you often can’t reach your full potential. In some situations, it might even take a completely different approach to reach the same goal in different cultures.

P&G is these days often cited as an example of a multinational company that has been able to successfully grow in emerging markets, but one of the lessons they learned the hard way was that just operating with the same products and models as they did back home wouldn’t work.

For example, according to ex-CEO Lafley, when P&G decided to focus on the baby-care market in Asia, the initial approach was to just cut away material from the diapers sold in Western markets. The problem was that to get to a cost-level that was acceptable, they had to cut out so much that the products no longer worked as intended. Once they went back to the drawing board and created an entirely new product with a completely different design focused primarily on costs instead of the latest technology, they succeeded in creating an attractive product and eventually became the market leader in China.

Pampers Cultural Tailoring

However, in most cases, either extreme isn’t the way to go. You need to look for a solution that allows you to build on your strengths, but still cater to the different cultural preferences of those whom you choose to serve – and usually that isn’t everyone.

Of course, for most of us who are innovators, that isn’t really that different from what we do anyway: we know that whatever great ideas we have, many will never survive first contact with the real world.

Cultural differences and local preferences of different markets are just another variable that we’ll need to take into account in our innovation work. Still, if you’re aiming for international business, it is a topic that you’d be wise to consider during your development process as it can save you a lot of trouble down the road.

Now, if you already have team members that are intimately familiar with these different cultures, it’s just common sense that the whole process is likely to be quite a bit smoother. And the evidence backs it up: this is one of the reasons for diversity being an asset for innovation.

But with that, let’s finally cover the practical considerations of what all of the above means for our organization before we wrap up.

Managing cultural differences within the organization

This is of course another massive topic, so we’ll keep things focused and will seek to provide you with the three key principles we’ve generally found to work well for getting great innovation outcomes in an international, multicultural organization in our work with such organizations.

While many of these are quite practical, depending on your role, you might not be able to put all of them into practice right away. Still, I’d recommend thinking about ways you can apply the same core ideas within the scope of your innovation work.

Cultural Differences for Innovation

Communicate about cultural biases and expectations openly

To illustrate this, I’ll share a story from No Rules Rules, which is a great book that I’d warmly recommend if you’ve made it this far into the post.

Before Netflix expanded internationally, it had a somewhat stereotypical US style task-oriented culture. It was quite common for employees to have lunch while working on their computers. However, as they expanded to Brazil, it quickly became obvious that this was a bit of a problem as, in general, Brazilians really value the relationships built over shared meals. As a result, early employees didn’t exactly feel welcome.

After some time, this came up in discussions, and while it was a trivial thing to fix, it still made a huge impact on morale. And not only did that help them adapt to local habits, but the changes also enriched the culture of the organization globally.

Netflix is known for its company culture

So, the takeaway here is that it’s important to pay attention to cultural differences and discuss them openly. Usually, the issues are easy enough to fix, but when they aren’t discussed, you easily miss them, and that’s what leads to many challenges down the road. The reality is that most people won’t be familiar with everyone else’s culture by default and expecting that to be the case just isn’t realistic.

Have core values and some norms, be flexible on the rest

Each organization’s culture is a result of its background. A sum of its parts, if you will. Be it the nationality of the company, past strategic and hiring decisions, and even simple practices and ways of working that have stuck around for one reason or another.

A few of these factors are core for the identity and competitiveness of the organization, and it’s these core values that you should hold on to. However, most of these factors are simple habits that are inconsequential in the grand scheme of things.

Making the difference between the two is key.

The core values and norms are something you simply need to succeed as an organization, and those you simply can’t compromise on. New employees, whatever their background or experience, do need to adhere to these few essentials. And for that to happen, you need to train them on these values and principles and tell why that is so important for your organization.

You should be adamant about upholding your core values, but be flexible and willing to give up or change the more inconsequential parts of your culture so that it can evolve and improve

On the other hand, the rest of inconsequential norms and habits you should be willing to give up or change when needed so that everyone can feel welcome and be the best version of themselves. Everybody doesn’t have to be a carbon copy of one another.

But there’s more to it than just that. The right changes can, in fact, make your culture better. This is essentially what “hire for culture add, not culture fit” means in practice.

Let’s again use the Netflix lunch example. Was it crucial for the company to have employees to eat at their desks? Of course not. It was just an inconsequential habit. However, it was vital to have the new Brazilian employees feel welcome, not just because it’s the right thing to do, but also because it improved the company’s performance. Plus, introducing this conscious habit globally helped have a positive impact elsewhere too!

Shared Lunch Brazil

The same can be applied even within the scope of your innovation work. For example, if you’re working on a new medical device, quality and safety are much more important than absolute speed to market. On the other hand, for a consumer web app, it’s probably the other way around. The exact values mentioned here aren’t important, it’s that they should support your strategy and innovation capabilities.

Figure out what the true core values and norms are for your innovation efforts, and make sure to reinforce these – and then be flexible on the rest.

Push decision-making down whenever possible

We’re a strong advocate for decentralized innovation. I won’t recap the whole topic here, but in a nutshell, it’s people who are closest to the market and the real work that often come up with the best ideas. Also, a decentralized approach allows you to dramatically scale your innovation work, which is key for long-term results.

While we’d argue that this is usually the preferable approach, it’s even more important when you’re operating in a multicultural and international environment, as we pointed out earlier.

Not only is this likely to lead to better decisions, but it’s guaranteed to improve the accountability and motivation of the employees making those decisions, which will lead to better results.

This is a key characteristics of the Netflix culture, and CEO Hastings prides himself in doing as few decisions as possible. And, at large, it’s seemed to work really well for them.

However, a market where they are struggling is India. And, at least on the surface, it looks like the problem has been that they’ve tried to adapt the same success formula to India as most other markets: using local top talent to produce new hit TV shows. The problem is that apparently Indians value sports and movies much more than they do TV shows, which has led to competitors focused on those areas dominating the market and a big commercial disappointment for Netflix. From the outside, it’s hard to say if they didn’t really live up to their values here, or if the mistake happened regardless of that. Still, I’m sure there were people on the ground in India that knew of these cultural preferences beforehand.

India Cricket

In practical terms, there are naturally some opportunities and capabilities that make sense to work on centrally, but in an international organization there are also plenty that would be best tackled by empowering people further down the organization to make decisions that best drive the key interests of the organization.

For example, some of our customers have launched big international innovation campaigns or other initiatives and struggled. They might find it difficult to engage people in the field because the centralized effort just doesn’t feel relevant for many of these people, or they might not be able to implement enough good ideas with that same centralized approach.

While there are others that have succeeded in similar centralized efforts, our most successful and advanced customers have nearly without exception evolved the way they work to really embrace innovation at the scale of the organization at large.

…and make sure innovators have the support they need

However, for that decentralized approach to work, you need to guide and support the people innovating across the organization. This is of course not specific to just an environment where there are cultural differences, but for innovation in general.

You likely have plenty of smart and capable people working for you who’d be more than capable of driving innovation, but if they don’t have the right resources, tools, and mindset, they might struggle.

So, in practice, you should:

  • share strategic priorities, and make sure people continue to work towards those
  • provide tools and resources that help people with the innovation process
  • communicate and oversee the above-mentioned core cultural values and norms of the organization
  • help people with challenges in being heard, understood, or taken seriously by others
  • help facilitate discussions and share innovation best practices between different parts of the organization

Often, the most convenient way to accomplish the above goals is to make these efforts a priority of your centralized innovation team, instead of having that small team try to drive innovation themselves.

The right approach and specific methods, tools, and frameworks obviously depend on the situation, but the point is that with the right support, you’ll find that people will often surprise you with the innovations that they’re able to create. The key to success with this model is to proactively invest in improving capabilities and supporting innovators across the organization.

Anyway, with this kind of an approach, you can move from just trying to manage cultural differences, to embracing and using them to drive value for your organization.

Conclusion

The topic of cultural differences is such a complex and nuanced topic that  we’ve barely scratched the surface on here, even though this has been a pretty long article.

But to summarize, if ignored, cultural differences can become a big challenge for innovators. Yet, if embraced and properly managed, it can turn out to be a real advantage for you.

The first step is to understand that these differences exist in the first place, and that teams and people from different backgrounds are likely to have certain strengths, but also certain weaknesses, when it comes to innovation.

Then, reflect on what the ideal culture for innovation looks like in your specific business, and discuss these differences openly with your team.

And finally, try to approach the whole process systematically, with the help of tools like our Innovation Culture Scorecard, one by one addressing challenges that are holding your team back from reaching its true innovation potential.

As mentioned, when embraced and properly managed, cultural differences can turn out to be a real competitive advantage for an innovator.

This article was originally published in Viima’s blog.

Image credits: Viima, Pixabay, Unsplash, Pexels

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Accelerate Your Mission

Moving Beyond Luck, Genius and Heroics

Accelerate Your Mission - Moving Beyond Luck, Genius and Heroics

BMNT Editor’s note: This blog series will explain the common beginner-steps needed to get an innovation practice off the ground, like creating an innovation thesis, organizing a minimum viable team, operationalizing the Innovation Pipeline®, leveraging world-class universities, and more. And if you already have an innovation practice, consider this a way to update or improve what you already have, because if you’re not learning, you’re already behind the curve.

GUEST POST from Brian Miller

Today’s complex era requires that governments adapt to emerging challenges by harnessing novel technologies, fostering a resilient workforce, and embracing new ways of doing business. To some, this means simply increasing research and development budgets and establishing clear national objectives. Yet this moment requires something more foundational: a new doctrine.

There is currently no doctrinal clarity or operational support for innovation at any level of the US government, so while increased spending and transformative goals will help, what the nation really needs is the implementation of a disciplined system designed to innovate and a workforce trained to use it.

Our traditional systems were designed for an earlier era of greater predictability and government-led technology development. They no longer work as intended. The current approach is not maintaining, let alone improving, the capabilities available to national decision-makers. Moreover, relying on luck, genius, or heroics to get the job done is not sustainable – if it ever was.

The US government simply lacks the capacity for enterprise innovation because the human (abilities, skills, knowledge) and organizational (structure, processes, culture) capabilities pertaining to innovation are insufficient.

These deficiencies manifest in several ways, including but not limited to:

  • Poor understanding of problems and opportunities across an enterprise
  • Disconnect between capability development and end-users
  • Limited success solving hard problems programmatically
  • The process for creating requirements is not rigorous
  • Acquisition personnel are required to make assumptions years ahead of time

At BMNT, we work with large government organizations seeking to fix or create a sustainable innovation practice in order to reliably produce transformative results.

This Mission Acceleration series is designed to share some of the common learnings and recommendations from years of supporting the lifecycle of civic innovation in the US, UK, Australia, Canada, and elsewhere.

This first post explains the high, hard goals: implementing a structure to guide innovation and training workers how to use it. Subsequent posts will share other common beginner-steps to creating a sustainable innovation pipeline.

1. Implement a structure designed to innovate

Investing in innovation differs significantly from other types of decision-making. Large organizations need a reliable system to address the inherent risk associated with innovation projects. The system that fuels the necessary risk management approach is called the Innovation Pipeline®. It’s a separate but parallel structure designed for enterprise innovation that complements the legacy systems of large government organizations.

At its core, it’s a framework, helping senior decision-makers link various methods, tools, and activities into a system that is repeatable and scalable. It does not focus solely on technology, which will conceal the issues around value, usability, and adoption. It does not focus solely on end-users or the organization. Instead, it’s the means to assess all three dimensions, and it maximizes the probability that each innovation project delivers a solution that solves a real, mission-critical problem in a way that the organization can sustain at enterprise scale.

The Innovation Pipeline is necessary for many reasons, but principally because innovation projects are not simply smaller versions of existing programs. Resources are first invested in validating a project, and only after validation are significant investments made in deploying a new capability. This ensures an organization has addressed the three main sources of risk associated with any innovation project:

  • Desirability (users need it and key stakeholders will adopt it)
  • Feasibility (it can be built affordably)
  • Viability (there is a pathway through the bureaucracy to deliver it)

2. Professionalize an innovation-capable workforce

An innovation system encompasses problems, technologies, and ideas – but it’s powered by people. Yet people can only innovate if they are trained to do so. An accountable innovation training program consists of three main thrusts:

  • Energize networks within and outside government to rigorously test solutions against specific mission-critical problems
  • Provide a common language, methodologies, and tools to generate evidence for resource decisions
  • Generate buy-in and support from key stakeholders responsible for transitioning and sustaining capabilities

What we’ve learned is that a training program must address three levels of the organization in order to begin to change human and organizational capabilities.

  • Senior leaders (via a 1-day offsite to build consensus and commitment about how to permanently improve organizational effectiveness)
  • Innovation program managers (via a multi-day executive training course, plus weekly check-ins as part of a practicum)
  • Innovation project leaders (via multi-day basic and intermediate training courses, plus weekly check-ins as part of a practicum)

Eventually, the entire workforce can be harnessed to innovate.

Next in the series: Why your organization needs an innovation thesis and how to create one.

Image credits: BMNT

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