Category Archives: Innovation

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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The Role of KPIs in Measuring Innovation Performance

The Role of KPIs in Measuring Innovation Performance

GUEST POST from Art Inteligencia

In today’s rapidly evolving business landscape, innovation has become an imperative for survival and growth. Organizations around the globe are striving to harness innovation to drive competitive advantage, increase market share, and improve customer satisfaction. However, measuring the performance of innovation initiatives poses a significant challenge. Enter Key Performance Indicators (KPIs) – a vital tool in quantifying success, identifying areas for improvement, and driving innovation forward. But how can KPIs be effectively utilized to measure innovation performance? Let’s explore.

Understanding Innovation in Organizations

Innovation is not just about groundbreaking products or novel services; it encompasses processes, business models, customer experiences, and even organizational culture. Measuring its performance, therefore, requires a multilayered approach tailored to the strategic objectives of the organization. KPIs can provide a structured framework and a clear direction to streamline the measurement process.

Defining KPIs for Innovation

KPIs are quantifiable metrics that reflect the critical success factors of an organization. In the context of innovation, KPIs must be carefully selected to align with the organization’s vision and strategic goals. Effective innovation KPIs typically fall into a few categories:

  • Input Metrics: These measure the resources and efforts invested in innovation, such as R&D expenditure, number of innovation projects, or employee training hours.
  • Process Metrics: These KPIs evaluate how innovation is managed and executed within the organization, reflecting the efficiency of innovation processes, speed to market, and development cycle times.
  • Output Metrics: These assess the outcomes of innovation efforts, including number of patents filed, new products launched, and incremental revenue from new offerings.
  • Impact Metrics: These KPIs measure the broader effects of innovation on business performance. This includes customer satisfaction, market share, and long-term financial performance.

The Importance of Tailored KPIs

The challenge with measuring innovation through KPIs is ensuring they are relevant to the unique context of each organization. A one-size-fits-all approach is likely to falter. Instead, organizations should customize KPIs based on their innovation maturity, industry specifications, and strategic goals. The right KPIs can uncover insights that lead to actionable strategies for enhancing innovation performance.

Case Study 1: 3M’s Commitment to Innovation

3M is often hailed as a model of innovation, boasting a track record of transforming inventive ideas into profitable products. For decades, 3M has successfully used KPIs to drive its innovation strategy. The company has set a specific KPI: 30% of its sales must come from products developed in the past five years.

This KPI fosters a strong culture of innovation, incentivizing teams to consistently innovate and refresh their product offerings. By regularly assessing the percentage of sales from new products, 3M ensures a steady pipeline of innovative ideas while maintaining focus on customer needs and market trends. The KPI is embedded across the organization, with executive compensation often linked to performance in this area. As a result, 3M continues to push the envelope, sustaining its competitive edge in various industries.

Case Study 2: Google’s Use of OKRs in Innovation

Google’s prolific innovation engine can be attributed in part to its use of Objectives and Key Results (OKRs), which are a complementary approach to KPIs. OKRs facilitate a robust framework for fostering and measuring innovation efforts. At Google, these objectives are set quarterly and revolve around ambitious, oftentimes audacious, innovation goals.

Key Results are established alongside these objectives to track progress and ensure alignment with company-wide priorities. For instance, an objective could be to “improve user engagement on YouTube,” with key results related to the duration of video watches, number of content uploads per day, or specific feature rollouts. Through this dynamic approach, Google remains agile and enables teams to seek moonshots, while maintaining accountability and visibility into innovation activities.

Implementing and Iterating KPIs

Successful implementation of KPIs for innovation requires thorough planning, cross-functional collaboration, and ongoing assessment. Organizations should regularly revisit and refine their KPIs to reflect changing strategic priorities and market conditions. Introducing a feedback loop from employees, customers, and other stakeholders can provide valuable insights into the effectiveness and relevance of KPIs.

Remember, KPIs aren’t an end in themselves; they are tools to guide decisions and enhance innovation capabilities. It’s important for organizations to cultivate a culture of learning and experimentation, where KPIs evolve alongside innovation processes.

Conclusion

KPIs play a pivotal role in measuring innovation performance, driving accountability, and aligning efforts with strategic goals. By carefully selecting and implementing KPIs that resonate with the organization’s unique innovation context, companies can navigate the complexities of the innovation landscape more effectively. Through case studies like 3M’s commitment to sales from new products and Google’s use of OKRs, we see the tangible impact of KPIs in fostering a culture of continuous innovation. Ultimately, in this age of rapid transformation, those organizations that adeptly leverage KPIs in their innovation endeavors are better positioned to thrive and lead the future.

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: Pexels

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Why Good Ideas Fail

(And How to Help Yours Succeed)

Why Good Ideas Fail

GUEST POST from Greg Satell

In 1891, Dr. William Coley had an unusual idea. Inspired by an obscure case, in which a man who had contracted a severe infection was cured of cancer, the young doctor purposely infected a tumor on his patient’s neck with a heavy dose of bacteria. Miraculously, the tumor vanished and the patient remained cancer free even five years later.

You would think that such an accomplishment would be hailed as a breakthrough, but much like Ignaz Semmelweis a half century before, Coley’s work was met with skepticism. In fact, it would take over 100 years, until the first drug was approved in 2011, for immunotherapy to become widely accepted by the medical community.

This is far more common than you would think. We tend to think that if we get an idea right, that others will recognize its worth. That’s hardly ever true. In fact, if your idea is truly new and different, you can expect to encounter stiff resistance. Success or failure depends less on the actual value of an idea than how you overcome resistance and scale to impact.

The Tyranny of Paradigms

The use of the term paradigm shift has become so common that we scarcely stop to think where it came from. When Thomas Kuhn first introduced the concept in his classic The Structure of Scientific Revolutions, he described more than an event, but a process, which had pervaded the history of science.

It starts with an established model, the kind we learn in school or during initial training for a career. Models become established because, at least on some level, they work. So the more proficient we become at applying a good model the more favorable others view our performance. It’s what allows us to rise through the ranks and become successful.

Yet all models are, in some way, incomplete. Newton’s dynamics, to take just one famous example, work perfectly well for objects we encounter in everyday life and survived more than three centuries with little modification. It was only when scientists started looking closely at objects that were very small and very large that a need for Einstein’s theories arose.

That’s why new paradigms almost always face significant resistance and need to be championed by outsiders or newcomers. Or, as the physicist Max Planck put it “a new scientific truth does not triumph by convincing its opponents and making them see the light, but rather because its opponents eventually die, and a new generation grows up that is familiar with it.”

An Idea In Its Infancy

Pixar founder Ed Catmull once wrote that “early on, all of our movies suck.” The trick, he pointed out, is to go beyond the initial germ of an idea and put in the hard work it takes to get something to go “from suck to not-suck.” He called early ideas “ugly babies,” because they start out, “awkward and unformed, vulnerable and incomplete.”

There’s something romantic about the early stages of an idea, but it’s important to remember that, much like Catmull’s, ugly babies, your idea is never going to be as weak and vulnerable as those early days before you get a chance to work out the inevitable kinks. You need to be careful not to overexpose it or it may die an early death.

So it’s important to overcome the urge to start with a bang and, at least in the beginning, focus on a relatively small circle who can help your ugly baby grow. These should be people you know and trust, or at least have indicated some enthusiasm for the concept. They should also be people who will be willing to point out early flaws.

For example, in his efforts to reform the Pentagon, Colonel John Boyd began every initiative by briefing a group of collaborators called the “Acolytes,” who would help hone and sharpen the ideas. He then moved on to congressional staffers, elected officials and the media. By the time the top brass were aware of what he was doing, he had too much support to ignore.

Learning What You Don’t Know

While your idea is still an “ugly baby, there’s still much that you don’t know and the evidence is rarely clear. In the case of Dr. Coley and immunotherapy, injecting cancer patients with toxins to make them sick was not only counter-intuitive, it often didn’t work. It seemed to help in a few rare cases, but not in most others and Coley couldn’t explain why.

As it turned out, the story was far stranger than anyone could have imagined. Coley and his supporters assumed that injecting toxins jump-started the immune system, but that wasn’t the case. In reality, our immune system is perfectly capable of identifying and attacking cancer cells. In fact, it seems that it kills off potentially cancerous cells all of the time.

Unfortunately, some cancers develop counterattacks. They evolve molecules that bind to specific receptors in our immune system and turn off the immune response. That was the reason why immunotherapy efforts kept failing, until Jim Allison made his breakthrough discovery in 1995.

What Allison figured out, more than a century after Coley’s experiment, was that we can engineer molecules that can “ block the blockers” and cure previously incurable cancers. Even then, it wasn’t an easy path. By the time he came around, many had tried and failed to develop an immune approach to cancer. It would take three years to find a firm willing to fund his work.

The drug based on Allison’s work, called Yervoy, received FDA approval in 2011, 16 years after his initial discovery. Finally, the floodgates opened and the work of countless immunotherapy researchers over more than a century began to bear fruit. Today, there are thousands of active scientists working in the field.

Ideas Need Ecosystems

Today, both William Coley and Jim Allison are celebrated scientists. However, while Coley’s work was never widely accepted during his lifetime, Jim Allison won the Nobel Prize for his work. Both had essentially the same idea, that the immune response could be used to fight cancer and save lives.

The truth is that ideas need ecosystems to scale to impact. Coley worked tirelessly to promote the potential of immune approaches to cancer and, after his death in 1936, left a small but dedicated cadre of disciples determined to continue his work. His daughter, Helen, set up the Cancer Research Institute to fund further discovery.

By the time Jim Allison came around there were powerful molecular analysis techniques that allowed he and his colleagues to identify specific molecules within the immune system and understand their function. There were also networks of venture capital that funded firms like the one that supported Allison’s work.

Power in an ecosystem lies not at the top but emanates from the center and you move to the center by connecting out. That’s what separates great innovators from people who merely have ideas. They understand that no idea can stand on its own. Much like Catmull’s ugly babies, they need to be nourished and protected if they are to grow and make a real impact on the world.

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

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Innovative Approaches to Accessibility in Technology

Innovative Approaches to Accessibility in Technology

GUEST POST from Chateau G Pato

In the rapidly evolving landscape of technology, the importance of accessibility remains a crucial focus. As we advance into a world increasingly intertwined with digital tools and platforms, ensuring that all individuals, regardless of ability, can operate these technologies is more important than ever. Creating technology that is accessible not only serves those with disabilities but enriches the user experience for everyone. In this article, we explore innovative approaches to accessibility and offer insights into how companies are successfully integrating these strategies to create a more inclusive digital environment.

Redefining Accessibility

Traditional accessibility in technology often focused on compliance-driven adaptations, which, while necessary, sometimes missed the bigger picture of user experience and inclusivity. Innovative approaches begin with empathy and a deep understanding of diverse user needs, leading to solutions that are not only compliant but also delightful to use.

Universal Design Principles

Universal design, a concept originally from architecture, has transcended into the tech sphere, emphasizing that solutions should be usable by everyone to the greatest extent possible, without the need for adaptation. By applying universal design principles, designers and developers can create products that are inherently accessible right out of the gate. This approach fosters innovation as teams are challenged to think outside the box and create interfaces and interactions that are intuitive for all users.

Artificial Intelligence and Machine Learning

Advancements in artificial intelligence (AI) and machine learning (ML) are paving the way for more insightful accessibility solutions. AI can automate and enhance accessibility features such as voice recognition, real-time translation, and image recognition, thus opening new realms of possibility for people with disabilities. By training AI models on diverse and inclusive datasets, accessibility can become more personalized and responsive to individual user needs.

Case Study: Microsoft’s AI for Accessibility

Microsoft’s commitment to accessibility is prominently showcased through its ambitious “AI for Accessibility” program. Launched in 2018, the initiative invests in leveraging AI technologies to amplify human capabilities for those with disabilities, focusing on employment, daily life, and communication.

One of the flagship outputs of this initiative is the Seeing AI app, designed for visually impaired individuals. This app utilizes AI to narrate the world around the user using a smartphone camera, identifying objects, reading text, and recognizing faces. Seeing AI delivers on multiple fronts of accessibility, offering an intuitive user experience underpinned by cutting-edge technology.

“By augmenting human abilities with artificial intelligence, we can achieve more inclusive outcomes and ensure that technology empowers all users,” says Jenny Lay-Flurrie, Microsoft’s Chief Accessibility Officer.

Microsoft’s dedication to inclusive design highlights not just the potential of AI, but also the importance of a commitment across the organization. By fostering a culture of accessibility from leadership to product teams, companies can ensure that accessibility is not an afterthought but an integral part of the innovation process.

Case Study: Apple’s VoiceOver

Apple has long been a pioneer in integrating accessibility features directly into its products. VoiceOver, a screen reader built into iOS and macOS, is a prime example of innovation in this space. Unlike traditional screen readers, which are often third-party applications that must be purchased and installed separately, VoiceOver comes pre-installed and integrated deeply with the operating systems.

VoiceOver utilizes gesture-based navigation with touch commands on iOS devices, allowing visually impaired users to explore their devices in an intuitive manner. What makes VoiceOver particularly innovative is its synergy with Apple’s ecosystem, enhancing the overall accessibility across different devices, including Mac, iPhone, iPad, and Apple Watch.

This integrated approach has far-reaching implications for user empowerment and independence. It reflects Apple’s belief that accessibility should be central to the user experience, not a mere add-on. By equipping all of its devices with robust accessibility features, Apple ensures that users with disabilities have the tools they need to thrive in an increasingly digital world.

Design Thinking for Accessibility

Integrating accessibility into the design thinking process is crucial for creating solutions that truly meet user needs. This begins with empathy and understanding, engaging with people with disabilities in the research phases of product development. Through methods like journey mapping and prototyping with diverse populations, teams can uncover unique insights and innovate in ways that standard testing may not reveal.

Inclusive Testing and Feedback Loops

To ensure that accessibility is woven into the fabric of technology solutions, businesses must incorporate inclusive testing and feedback loops. Involving users with varying abilities in testing stages ensures that products are genuinely accessible and valuable. Continuous feedback loops enable organizations to iterate on their products, continuously refining and enhancing accessibility features.

Future Directions

As we forge ahead, the future of accessibility in technology is promising yet requires commitment from all stakeholders. Educating teams within organizations about the importance and techniques of accessibility will drive innovation. Furthermore, as technologies like augmented reality (AR) and virtual reality (VR) continue to evolve, they hold the potential to significantly enhance accessibility, creating immersive experiences that are accessible to all.

Moreover, as global connectivity increases, collaboration across industries and borders will be instrumental in developing universal accessibility standards. By working together, sharing knowledge, and championing inclusivity, we can cultivate a digital world where technology serves as a bridge to opportunity rather than a barrier.

Conclusion

The journey towards accessible technology is ongoing and demands an innovative mindset. By embracing emerging technologies, conducting empathetic research, and fostering inclusive design, we can create digital environments that are not only accessible but also empowering for all users. As technology leaders, it’s our responsibility to champion accessibility as a core value, ensuring that everyone has the opportunity to thrive in our connected world.

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: Unsplash

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Impacting Communities via Innovation Empowerment

Impacting Communities via Innovation Empowerment

GUEST POST from Chateau G Pato

In today’s rapidly evolving world, innovation is much more than just a corporate buzzword; it is a foundational element for empowering people and transforming communities. When harnessed effectively, innovation can catalyze positive changes that generate long-term social, economic, and environmental benefits. This article explores how communities can be empowered through innovation by focusing on collaborative efforts that engage citizens as co-creators of sustainable solutions. We will delve into two inspiring case studies highlighting creative empowerment strategies that have yielded significant impacts.

Case Study 1: Solar Sister – Harnessing the Sun to Empower Women

Solar Sister is a remarkable case study demonstrating how innovation can empower an entire community. Founded with the mission of eradicating energy poverty while promoting women’s entrepreneurship, Solar Sister has become a beacon of hope across Sub-Saharan Africa. By equipping women with clean energy technology such as solar-powered lamps and phone chargers, this initiative not only addresses critical energy shortages but also provides economic opportunities.

Solar Sister’s approach is both simple and profound: train, support, and mentor women as they build clean energy businesses in their communities. This model not only ensures widespread access to affordable, reliable clean energy but also empowers women by providing them with leadership skills, financial independence, and increased social standing. The innovation lies in its grassroots-driven approach that turns beneficiaries into active participants in transforming their own communities.

“Solar Sister illuminates the lives of women and their communities through the power of the sun, demonstrating that sustainable energy solutions can come from the most unlikely innovators.”

The impact of Solar Sister has been widespread. Thousands of women entrepreneurs have joined the movement, providing clean energy to over one million people. The benefits extend beyond individual families, impacting the environment by reducing dependency on kerosene and diminishing carbon emissions, thus helping fight climate change.

Case Study 2: CityBee – Redefining Urban Mobility

In Lithuania, urban mobility innovation is revolutionizing how communities interact with their cities, thanks to CityBee. Recognizing the traffic congestion and pollution challenges faced by modern cities, CityBee devised a car-sharing service that blends technology, community involvement, and sustainable transportation solutions.

CityBee’s model is incredibly intuitive: through an app, users can locate and unlock cars or bikes, use them for short trips, and park them at strategic city locations. This service reduces the necessity for private vehicle ownership, alleviates parking demands, and decreases urban air pollution. CityBee reimagines mobility as a flexible, on-demand service that embraces technological innovation to meet the evolving needs of urban dwellers.

The community impact has been profound. By championing a shared economy model, CityBee has encouraged users to fundamentally change how they perceive transportation—shifting from ownership to access. This transformation not only positions cities as spaces designed for people rather than vehicles but also empowers communities to participate in more sustainable urban living practices.

“Innovative solutions like CityBee prove that rethinking and reshaping urban mobility isn’t just a possibility—it’s a necessity for sustainable, vibrant city landscapes.”

Innovative Pathways to Empowerment

The profound lessons from these two case studies underscore the limitless potential of innovation as a mechanism for empowerment. By involving communities in innovation processes, leveraging locally driven solutions, and fostering inclusive environments that uplift underrepresented voices, we can ensure sustainable development and community well-being.

Communities empowered through innovation are better equipped to navigate the complexities of the modern world—transforming challenges into opportunities, sparking economic vibrancy, and nurturing social cohesion. As we continue to explore and harness the boundless potentials of innovation, our commitment to human-centered design should remain steadfast. By creating platforms for shared learning, meaningful engagement, and collaborative co-creation, we lay the foundation for empowered, resilient communities.

Conclusion

Empowerment through innovation is not just an ideal; it is a pragmatic strategy for fostering sustainable growth and collective responsibility across our diverse global communities. As demonstrated by Solar Sister and CityBee, the innovative forces that empower individuals simultaneously invigorate the communities they inhabit. By prioritizing people-centric innovation and nurturing community involvement, we catalyze positive changes that transcend generations. Together, let us embrace the transformative power of innovation as a conduit for empowerment and social good, nurturing a world where communities thrive, and hope flourishes.

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: Unsplash

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Best Practices and Pitfalls of Building an Innovation Ecosystem

Best Practices and Pitfalls of Building an Innovation Ecosystem

GUEST POST from Art Inteligencia

In today’s rapidly evolving business environment, fostering innovation isn’t just a strategic advantage—it’s a survival imperative. An effective innovation ecosystem integrates diverse elements, harnessing external and internal synergies to fuel sustained creativity and growth. But as with any complex system, crafting a robust innovation ecosystem comes with its own set of best practices and potential pitfalls. In this article, we’ll delve into both, supported by case studies that illustrate these critical points.

Best Practices for Building an Innovation Ecosystem

1. Foster a Collaborative Culture

The cornerstone of any successful innovation ecosystem is a culture that champions collaboration. Organizations must cultivate environments where ideas are freely exchanged without fear of judgment, encouraging cross-pollination between departments and disciplines. Providing platforms for collaboration—both physically and digitally—enables diverse teams to work together towards breakthrough innovations.

2. Leverage External Partnerships

In the journey to foster innovation, no organization is an island. Building partnerships with startups, academic institutions, and even competitors can inject fresh perspectives and capabilities. Open Innovation, driven by interfacing with external entities, is a key strategy many successful businesses employ to enhance their innovative potential.

3. Invest in Continuous Learning

An innovation ecosystem thrives on continuous learning and development. Encouraging employees to engage in ongoing education, whether through formal programs or earmarked “innovation time,” keeps the ecosystem agile and forward-thinking. It’s about creating a learning organization that can adapt and evolve as new challenges and opportunities arise.

Case Study 1: 3M

The Post-it Note Phenomenon

3M stands out as a paragon of innovation, with the famous invention of the Post-it Note serving as a testament to the company’s innovation ecosystem. Initially, the adhesive technology behind Post-it was considered a failure because it wasn’t strong enough for its intended use. However, 3M’s culture of openness and experimentation enabled this “failure” to be repurposed. The internal 15% rule, where employees could spend a portion of their time on projects of their own choosing, played a crucial role in nurturing this innovation.

3M’s approach highlights the value of a corporate culture that not only tolerates failure but also turns it into opportunities. By encouraging a culture where ideas can be recycled and reused creatively, 3M successfully transformed a dud product into a blockbuster staple. Their innovation ecosystem thrives on sustained encouragement of exploratory projects and cross-departmental collaborations, a model many other companies strive to emulate.

Common Pitfalls in Building an Innovation Ecosystem

1. Over-reliance on Internal Resources

A major misstep in fostering an innovation ecosystem is the tendency to solely rely on internal talents and resources, often leading to echo chambers. Without external input, solutions may be limited to existing knowledge and conventional thinking. This not only stifles creativity but also undermines competitive advantage in the long run.

2. Lack of Strategic Alignment

Innovation efforts that aren’t aligned with an organization’s overarching goals can lead to disjointed initiatives and wasted resources. Ensuring that innovation strategies sync with the broader business objectives is crucial. Strategic misalignment often results in minimal support from top management, under-funding, and ultimately, failure.

Case Study 2: Kodak

The Fall of a Giant

Kodak’s story is often cited as a cautionary tale for organizations attempting to foster innovation ecosystems. Despite inventing the digital camera in 1975, the company failed to capitalize on its potential due to an internal focus that prioritized film sales over technological advancement. This case illustrates a pitfall of missing strategic alignment and over-reliance on existing business models.

Kodak’s downfall underscores the necessity of aligning innovation with future-oriented business goals. Their internal culture, focused heavily on their traditional cash cow, was unable to adapt quickly enough to the disruptive technology they themselves had pioneered. The innovation ecosystem failed not from lack of technological prowess, but a failure to strategically embrace and integrate emerging technologies.

Conclusion

Building a thriving innovation ecosystem is a complex yet rewarding endeavor that requires thoughtful planning and execution. By fostering a collaborative culture, leveraging external partnerships, and investing in continuous learning, organizations can create a fertile ground for innovation. However, avoiding pitfalls such as over-reliance on internal resources and lack of strategic alignment is equally important. The contrasting case studies of 3M and Kodak serve as a poignant reminder that the path to innovation lies not merely in novel ideas but in the capacity to strategically harness and integrate them within a supportive ecosystem framework.

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: Pexels

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Cognitive Bandwidth – Staying Innovative in ‘Interesting’ Times

Cognitive Bandwidth - Staying Innovative in ‘Interesting’ Times

GUEST POST from Pete Foley

‘May you live in interesting times’ is the English translation of an ancient Chinese curse. Superficially presented as a blessing, its true meaning is of course far from positive. As memes go, it has lasted quite a while, perhaps because from a cognitive perspective, that little twist, and the little puzzle it forces us to solve makes it more subtle, but also more impactful than a more direct insult. But the ‘blessing and a curse’ dichotomy that it embodies is also a fundamental insight. Opportunity usually brings potential for trouble, and trouble usually bring potential for opportunity, largely because both involve change. So many are going through an awful time on many fronts at the moment, but if that has a silver lining, it is that with it comes change. And ultimately that creates an opportunity for innovation, and hopefully better times.

Big Issues Create Big Opportunity: I’ve written before about the opportunity that Covid-19 presented for innovation. The shattering of habits and established behaviors, combined with dramatic shifts in personal and work situations opened the door to trial of new products and services to a degree not seen in a generation. But as we (hopefully) continue to emerge from Covid, we’ve been sucker punched by numerous other things. The horror of war in Europe being the most shocking, but we are also facing enormous economic challenges in the form of energy shortages, inflation, supply chain issues, the great resignation and rapidly changing socio-political landscapes.  And of course, we still have numerous other pressing ‘pre-Covid’ issues such as climate change, pollution and economic inequality that also require urgent attention.

That is a lot of problems that need solving. And as awful as Covid was for everyone, the current issues around supply chain, global economic instability, inflation and increased cost of debt likely create at least as immediate operational issues for many organizations, and hence an equally urgent need for innovation.

Another Innovators Dilemma. Unfortunately, the time when we need most innovation is often when it is hardest to deliver it. Innovation doesn’t happen overnight, and usually needs clear strategy, resources, funding, creativity and knowledge. And all of these are currently in short supply. An uncertain and rapidly changing world makes setting long-term strategy challenging. Supply chain challenges can have huge short-term operational impact, and suck up resources and expertise normally allocated to longer-term innovation. The great resignation and early retirements reduce available expertise. And on top of all of this, inflation, increasing interest rates, raw material prices and labor costs are squeezing finances. None of this is terribly new news, or insightful, but it does provide context for another, sometimes less obvious barrier to innovation that I want to talk about: One that operates more on the individual level – the squeeze of cognitive bandwidth.

Cognitive Bandwidth: The innovation journey needs creativity everywhere from the nascent front end through to launching into market. Ultimately that creativity comes from individuals. That in turn requires those individuals to be allowed the cognitive bandwidth, or ‘quality thinking time’ to ideate. We can only effectively think deeply about one thing at a time. This is our ‘cognitive bandwidth’, and it is a finite resource. There are only so many hours in a day, and most of us can only allocate a small fraction of those to think deeply about problems or process information. And of course the more problems we are facing, the less bandwidth we usually have. The more difficult the situation, the more of our time is spent distracted, jumping from one issue to another, or attempting to ‘multi-task’. Even when we carve out time, the current climate means all too often we are stressed, or in an elevated emotional state. This reduces the quality as well as quantity of our thinking, and so further narrows our individual cognitive bandwidth.

The Covid Squeeze: Covid-19 of course sucked up a lot of cognitive bandwidth. We had to find new ways to work, learn new tools, and new ways to manage personal lives and work-life balance as many found themselves taking on new roles as educators, care givers, chefs, simply learning how to share an office with a spouse for the first time. There were some compensating effects, such as reduced travel, but even that likely had some less obvious and hard to measure impacts on the creative process that I’ll discuss later. But perhaps the biggest, albeit largely intangible impact on cognitive bandwidth was the impact Covid had on our collective emotional state. Covid, and the changes it brought was hard on everybody. Everyone has there own stories, and we’ve all seen the increase in mental health issues that accompanied the pandemic. But this is almost certainly the ‘tip of the iceberg’. Virtually everyone has experienced some degree of increased stress and negative emotions during Covid, and this directly impacts cognitive bandwidth and hence individual innovative capacity.

The Post-Covid Sucker Punch: One thing I think we were all looking forward to was a return to some semblance of normal. But unfortunately, as Covid (hopefully) subsides, reentry into the post Covid world is proving to be very bumpy, and we are facing the cornucopia of other issues described above.   This not only creates a host of ‘fires’ that need to be put out, but it also inevitably takes an emotional toll. After two years of disrupted work and home-life, we are now asking people to again step up and be ‘unusually’ innovative in difficult circumstances, and against a backdrop of war and human suffering. Fatigue and burn-out are almost inevitable.

At a practical level, I see this on a day-to-day basis. I sit in a lot of innovation teams, and one pattern I observe consistently is the workforce getting increasingly stretched; both from a time and emotional perspective. I see more and more people getting pulled out of meetings to fight fires, people attempting to double task, or stepping in and out of meetings, or simply looking frazzled and overworked. Of course, none of this is new, overwork and stress existed log before Covid. But it’s also not surprising that it appears to be increasing during a long period of constant change.

The Neuroscience of the Creative Moment. Innovative thinking comes in multiple forms, but it all requires time. We need time to think deeply, and consciously about problems, and to assimilate data and knowledge.  But ‘downtime’ is also a critical, if less understood part of the creative process. There is a very good reason that Eureka moments often happen in the bath, shower, or middle of the night. When the mind is relaxed, has time, and not focused on an immediate problem, it is more likely to make surprisingly obvious connections, or see things in different ways. This is often when the biggest ideas occur. We need conscious thinking to build essential foundations of knowledge, but the most interesting ideas and connections often happen when we are not trying. Have you ever had a name on the tip of your tongue, but no matter how hard you try, you cannot find it? Then a few hours later when you are not trying, it pops into your head? This is an analogous mechanism, where conscious focus simply reinforces and repeats converging on the same, sometimes unwanted result, but when we relax, it opens the channel to the needed connection. There is a lot of research around how this works, which includes the interaction between default mode and executive function, the role of alpha waves and flow state, and the conceptual blending process. It’s still very much an evolving science, but one thing that is fairly consistent across this research is that downtime and periods of reduced stress play an important role in the creative process and making connections. Unfortunately, for many, the pandemic reduced relaxation and ‘own time’.   Needing to learn new skills and new ways of working, while also having to solve a myriad of new and ever changing problems sucked up time. Even the loss of commutes took away a period of solo reflection where many of us consciously or unconsciously processed and synthesized the day’s information.   But perhaps the hardest pill to swallow has been that while we all hoped that the end of Covid would have provided some relief, if anything the news cycle has got worse. This takes an emotional toll.  Part of this reflects the ratings competition within media that favors an ever-increasing stream of bad news.  But unfortunately it also reflects a very challenging global reality and very real problems and suffering.

What Can We Do?

There are of course limits to what we can do within our sphere of influence. Most of us cannot directly impact the war in Ukraine, the supply chain crisis or global diplomacy. But we can take steps to reduce pressure on our teams, and ourselves, and thus make innovation and creativity a little easier.

1. Make tough strategic priority decisions. Primarily this is a leadership task, but it’s also something we can to some degree manage in our personal portfolios. One reason we see so much innovation during crisis is focus, and a willingness to sacrifice some goals or standards for more important ones. For us to replicate this means being very selective about what fires to fight, while also being willing to let others burn themselves out. This is not without risk, as short-term survival is of course a prerequisite for any successful long-term strategy.   But during periods of rapid change, we also see rapid reversals. For example, spikes in raw material costs are often short-term, and developing alternatives can often take longer than the problem lasts. It sounds obvious, but is often deceptively difficult, especially as deciding to let the wrong fire burn itself out can be quite career limiting. But making difficult priority calls, and saying ‘no’ can be critical to maintaining our innovative and competitive edge, by keeping limited cognitive bandwidth focused of the most important tasks.

2. Help talent to focus on what is really important, and to grow skills that are most relevant to the future. There has been an ongoing trend to increasingly ask talent to handle their own administrative and organizational work. This is partly driven by technology that reduces the need for specialized knowledge to manage many logistics tasks. And eliminating support roles looks good on margins and fixed costs. But asking a highly skilled technical expert to cover their own admin not only adds to their workload, but it is also inefficient, as we are effectively overpaying them to complete tasks that often don’t play to their core skills. Conversely, there is also a lot of skill on the sidelines at the moment, while many have developed skills in working remotely. So is one option is to leverage this to free up innovators and experts. Let them focus more on their areas of expertise, by bringing back more general support roles. Or bring in temporary outside help where short-term issues require expertise that is not anticipated to be part of long-term strategy.

3. Schedule down-time, and create a culture where it is encouraged. Build protected spaces in calendars when meetings are not allowed. Encourage lunch breaks, and enable casual team-building events and wellness practices. It’s easy to view these as non-essential, and the type of activities that we cut first when times get tough. But they are critical to an innovative culture. Mental downtime is not a luxury or a perk, but an essential part of the creative process.   And in too many cases, we’ve been in crisis mode for so long, that tool has become blunt or burnt out.

4. Further support this with the design of our physical environments. Another trend has been the move to open offices and shared space. This has benefits for both collaboration, and for space efficiency as hybrid home/office working models emerge. But studies have also shown more innovative ideas emerge when people work alone than in brainstorming environments. So it is critical to provide both physical spaces and a culture that enable private reflection and quiet concentration where people can potentially synthesize information and make connections. The key to a cognitively diverse innovation culture is to provide options for different thinking styles. And this also means that acknowledging that benefits of work from home are not one size fits all. For some it’s a blessing, but both work style and personal circumstance can make working from home a challenge for others. To support a cognitively diverse workforce, some people, especially those early in their careers, may need work as a sanctuary, and a bigger physical footprint at work than others.

5. Finally, distribute work evenly. I remember someone telling me early in my career that, ‘if you need something done quickly, go to the busiest person’. There is some truth in that, and some people thrive on high workload. But it only works to a point, and if taken too far, we risk overloading the cognitive bandwidth of our most creative people, even if they may not realize it themselves. By all means give the most challenging and most important tasks to the best people. But don’t overload them too much. They will often be happy to take on more, but it may not be best for them, their creativity, or the organization. Look very hard to see if the load is evenly distributed within an organization, and if not, ask hard questions why not? And if you are the person everyone comes to, practice saying ‘no’ occasionally!

The good news is that humans are pretty resilient, so it doesn’t always take huge changes to get significant results. We are all the progeny of ancestors who survived wars, famine, disease, social upheaval and natural disasters. And it’s worth noting that we are often at our most creative during periods of greatest tragedy.

Technology advanced at a phenomenal pace during WW-II, and more recently the speed of development of Covid vaccines was staggering. But there are clues in those situations that we can learn from. Resources and focus were unprecedented. During WW-II virtually everything was thrown against the war effort, and tough, sometimes brutal priority calls were the norm.

Project Warp Speed put enormous resources against the Covid vaccine and took huge risks on uncertain bets. Of course, most of us working in innovation don’t have these almost infinite resources, but we can be very strategic in how we use what we have. And keep in mind that wartime mentality is meant to be short-term, while Project Warp Speed was designed to last about a year.

We are in the business of creating a sustainable innovation culture. So, we are not just about protecting the cognitive bandwidth of individuals in the short-term, but also preventing burn out, and creating a sustainable cognitive culture.

Image credit: Pixabay

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A New Frontier for Creative Innovation with AR and VR

A New Frontier for Creative Innovation with AR and VR

GUEST POST from Chateau G Pato

Welcome to the brave new world where pixels and reality dance together in a mesmerizing ballet, opening doors to creative innovation that is reimagining industries and how we engage with them. Yes, we’re talking about Augmented Reality (AR) and Virtual Reality (VR)—technologies that are no longer just for sci-fi fans or gaming geeks. They’re here, now, weaving transformative magic into the fabric of business. Let’s buckle up and explore this frontier where imagination meets implementation, shall we?

The New Magic Wand: AR and VR

Picture this: a universe where digital enhancements enrich the real-world view through your devices, be it your smartphone, tablet, or headgear. That’s AR for you—an innovative magic wand that’s augmenting our perception and interaction with our surroundings. Meanwhile, VR is a wonderland that immerses us wholly into a computer-generated environment, providing experiences that can span the spectrum from peaceful strolls in sun-dappled forest glades to interstellar voyages in distant galaxies.

AR and VR are not just kit and caboodle for entertainment. They’re catalysts for change, sparking innovation across enterprises. From reshaping marketing strategies to revolutionizing customer experiences and employee training, these technologies offer a sandbox of endless possibilities.

Case Study 1: Architectural Alchemy

The Visionary Architects

In a world where bricks and mortar meet bits and bytes, architecture firms are leveraging AR and VR to redefine how structures are designed and experienced before they’re even built. One such example is the ingenious firm “Skyline Wonders,” which has been pioneering the use of VR in architectural models. With VR headsets, clients can now walk through the melody of marble and glass of their future offices or homes before a single beam is erected. This immersive preview not only dazzles stakeholders but also allows designers to spot potential flaws and tailor designs to clients’ preferences with pinpoint accuracy.

But Skyline Wonders isn’t stopping at VR. They’ve augmented reality checklists for construction teams, which overlay blueprints on-site, ensuring precision in real-time. This hybrid of virtual and tangible realities fosters a seamless dialogue between concept and creation, reducing costly post-construction revisions and grounding fantastical designs in practical reality.

Case Study 2: Retail Renaissance

The Fashion Forward Retailer

Step into the world of “Style Savvy,” a trailblazing fashion retailer that’s turning the AR and VR trend into a new runway show. Their approach? Allowing customers to plunge into the fitting room of the future using their “Magic Mirror” VR experience. Amidst trying out stylish outfits without leaving home, customers are delighted as these virtual mirrors show not only fitting but also alter the environment’s mood lighting to match gown selections—hello, evening gala feels!

Moreover, Style Savvy’s AR app is like having a fashion consultant in your pocket. Customers can point their phone cameras at any item of clothing, and voilà—wardrobe compatibility data arrives, helping them avoid that regrettable paisley-on-stripes look. Not only does this enrich customer engagement, but it also positions Style Savvy as a beacon of tech-forward retail innovation, crafting personalized experiences that drive brand loyalty.

The Future is Here

Now, you might be wondering, is this a passing trend or a permanent evolution? AR and VR are becoming the new gizmos in the toolkit of tomorrow’s business. They aren’t just improving efficiencies or sprinkling a coat of ‘cool’ on our practices but entirely re-wiring the circuits of how business value is delivered and perceived.

As AR and VR technologies evolve, and as devices become more accessible and affordable, we’ll see increased adoption across more sectors. Whether it’s precision surgeries in healthcare, enhancing learning with immersive education platforms, or crafting unprecedented customer journeys in theme parks, the only real limit is our collective imagination.

Embrace the Pixels

As we straddle the divide between the physical and digital realms, businesses are encouraged to step into these digital paradigms poised to revolutionize how we perceive, interact, and innovate. The once clear lines between reality and fantasy blur into opportunities ripe for the picking. Companies that embrace these shifts not only bolster their innovative prowess now but carve out leadership positions in their respective industries for the future.

So, let’s fasten our headsets and step boldly onto this new stage, turning our imaginative dreams into a tangible reality where pixels transform practice. And remember, in the realm of AR and VR, we are all creators.

This article aims to provide an informative yet engaging exploration of AR and VR as tools for innovation, enhanced by illustrative case studies in architecture and retail. Let me know if there are any additional elements or revisions you’d like to see!

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: Unsplash

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