Innovating in a Dream (or With a Drink)

The image was created with the help of Microsoft Designer

This piece has been originally posted on Medium.

In a previous article, I argued that the widespread belief that we are swimming in an ocean of cheap innovative ideas — embodied in a popular line “ideas are a dime a dozen” — is no more than a myth. Available evidence shows that the U.S. is facing a growing shortage of novel ideas. Worse, the cost of getting these ideas is increasing while their quality seems to be declining.

What’s going on?

One thing is clear: the quantity and quality of novel ideas are declining because sources of new scientific discoveries are drying up. Although total U.S. spending on R&D reached a reputable 3.4% of GDP in 2021, only about 20% of the money came from the federal government, down from 50% in 1970; 70% of it was contributed by the private sector. With its focus on rapid returns, will the private sector fund fundamental and therefore risky R&D projects? No. (Of note, 75% of U.S. venture capital goes to software development and another 5–10% to biotech. How is the rest of R&D supposed to be funded?). The industry might still be capable of generating incrementally innovative combinations of old ideas — which indeed can be plentiful and cheap — but it is unlikely to create breakthrough innovations.

I think we must also consider another explanation: we have become less creative as a nation.

This fanciful — and, I suspect, offensive to many — idea came to me after reading a 2017 article in Wired. The article described a study showing that bored individuals generated more creative ideas than a non-bored control group. The authors of the study argued that boredom might spark creativity because a bored mind craves for stimulation.

Our problem is that the proliferation of social media channels has all but eliminated this “bored” state of mind. We are always so busy playing with mobile devices that our brains get numbed with the constant flow of mostly useless input. Being constantly “on,” our mind refuses to get positively stimulated — and by refusing to stay bored, we become less creative.

What can we do to generate new sources of innovative ideas? First of all, we need to restore public R&D spending to the levels that ensured the U.S. domination in innovation in the past. This path is clear, although it will still take time to repair the damage caused by decades of neglect.

But can we address the problem from another angle? Can we become more creative to dramatically improve the quantity and quality of new ideas? What do we know about ways to stimulate human creativity?

Innovating in a Dream

There are a few reported approaches to boosting human creativity.

Some of them are very proper. (Perhaps the most popular is taking a shower — especially if followed by going to the garden and sitting under the apple tree. But jokes aside.) One of them is practicing mindfulness meditation, an activity 10–12 minutes of which was reported to help generate higher-quality business ideas. Google, Goldman Sachs, and Medtronic are said to have introduced meditation and other mindfulness practices to their employees.

Another, conceptually similar way to boost creativity is an interrupted nap. When people are just beginning to fall asleep, they go through the so-called non rapid eye movement sleep stage 1 (or N1), often described as “the twilight zone between sleep and wakefulness.” A group of French researchers showed that spending at least 15 seconds in N1 — and then being awakened — boosted creativity of test subjects: they were significantly more likely to find a creative solution to a math problem compared to the test subjects who proceeded past N1 without awakening or those who didn’t fall to sleep at all.

I strongly suspect that the positive effect of mindfulness meditation is realized through the same, N1-dependent mechanism. (“At some moment, your mind will naturally wander away,” is how an instruction to practicing mindfulness meditation describes this magic point.)

I’m in no rush

Other creativity-stimulating activities may carry a stigma with them. For example, it was reported that procrastination may lead to higher creativity ratings in test subjects. The relationship between procrastination and creativity seems to be inversely U-shaped (yet another example of the “inverted-U law of life”): test subjects who procrastinated moderately received higher creativity ratings than those who procrastinate less or more. The authors of the study speculate that moderate procrastination sets in motion a mechanism of problem restructuring, which results in the production of more creative ideas.

Sounds promising, but let’s admit it: procrastination is frowned upon in the marketplace. Procrastinating people are considered inefficient, unproductive, and, even worse, bad team players.

As a devoted procrastinator myself, I’ll defend procrastination. I’ll point to statistical data showing that the U.S. is the most overworked developed nation in the world. The average productivity of an American worker has increased 400% since 1950; yet we’re working the same 40-hour workweek, at least on paper. Don’t we have a right to treat our brain to an occasional spell of quiet, unrushed deliberation, especially if rewarded for that with a shot of creativity?

Innovating With a Drink

And if you think that procrastination is a questionable way to boost creativity, you’re likely to dislike the next approach. But here we go: a research team at the Mississippi State University led by Prof. Andrew Jarosz treated a group of men ages 21 to 30 to vodka/cranberry juice in three drinks over a 30-minute period until their blood alcohol level reached near legal intoxication point of 0.075. The researchers then gave the test subjects a series of word association problems to solve. The result? Tipsy subjects solved 13% to 20% more problems — and did it faster–than sober subjects in the control group.

Prof. Jarosz hypothesizes that people under the influence are more susceptible to the so-called mind wandering, which results in losing some focus but gaining the ability to see a “bigger picture.” This effect, of course, can be harmful in many situations requiring concentration but it might be helpful in others where the ability to connect the proverbial dots is more important than focusing on a single dot.

Regretfully, there is a discernible pause in the academic research on chemically induced ways to influence human creativity. For example, a 2017 study attempted to systematically review all published (by that time) articles that focused on the relationship between psychoactive substances and creativity/creative artistic process. A total of only 19 studies were identified that met inclusion criteria. Little surprise that the results were difficult to summarize because of different study designs, diverse methods used, and various substances examined. A conclusion of the review, nevertheless, was that an association between creativity and substance use did exist. (Of note, a recent study found that light doses of cannabis, while increasing mood and joviality of test subjects, didn’t make them more creative in standard creativity tests.)

That’s why I like Prof. Jarosz and his colleagues’ study: in contrast to many narcotics or drugs, ethyl alcohol is a simple chemical molecule, whose behavior in the human body is quite well understood. Using this relatively simple model, researchers may start identifying specific neurochemical reactions in the brain that are responsible for creativity.

The Power of the Wandering Mind

It appears that the very first steps in this direction have been already made.

It is widely accepted that the creative process proceeds through four distinct stages:

  • Preparation. At this stage, your brain is gathering information.
  • Incubation. It is at this stage that you let your mind wander around.
  • Illumination. This is a “eureka!” moment. Connections in your brain collide, and you realize that you got an idea.
  • Verification. Your critical thinking skills return at this stage, and you start “packaging” your newly born idea in a consumable way.

Back in 2011, Torsten Norlander of Karlstad University in Sweden showed that alcohol consumption specifically stimulated the incubation and illumination stages of the creative process but inhibited both the preparation and verification stages. And this seems to be exactly what Prof. Jarosz’s team has observed: intoxicated individuals who solved more creative problems in less time than the control group perceived their solutions as the result of a sudden insight. Eureka, in other words.

It also appears to me that the power of the wandering mind — unleashed as a result of interrupted nap, mindfulness meditation, or alcohol consumption — is realized through the same N1-dependent mechanism.

The good news is that we already know the parts of the human brain responsible for N1 sleep and we began identifying brain networks promoting the transition from wakefulness to sleep. That means that it’s only a matter of time that we pin down the sections of the brain responsible for creativity — along with safe and efficient ways to stimulate them on demand.

And we all will have a choice of how we prefer to innovate: in our sleep or with a drink.

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12 Thoughts About Crowdsourcing

The image was created with the help of Microsoft Designer

This piece has originally been posted on Medium.

The following are twelve thoughts about crowdsourcing taken from my recently published book “We the People of the Crowd…” and summarizing my 20+ years of experience in running internal and external crowdsourcing campaigns.

  1. In recent years, crowdsourcing has become a popular topic in business publications and social media. Yet its acceptance as a practical problem-solving tool has been slow. Why? First, there is a widespread, often completely paralyzing, uncertainty over which problem crowdsourcing can (or can’t) solve. Second, the expansive use of the term “crowdsourcing” has blurred its borders with other problem-solving tools. As a result, crowdsourcing is often used incorrectly, and when the outcome disappoints, it is crowdsourcing itself that gets the blame for being ineffective.
  2. A fundamental benefit of using crowdsourcing is that by posting your problem online, you become agnostic to the sources of potential solutions. They may come from anywhere and anyone, and you don’t have to do anything to “target” your search — given, of course, that your crowd is sufficiently large and diversified. In other words, when you crowdsource, you don’t have to spend time and resources on finding solvers to your problem; you only need to analyze the solutions that these self-selected solvers are sending your way. Let me repeat it again: the beauty of crowdsourcing is that you don’t need to look for solutions to your problem. You post your problem online, and then the right solution will come to you.
  3. When working with subject-matter experts, be aware of the issue of diversity of responses. If you’re approaching a person who is an expert in Method A, don’t expect this person to tell you that using Method B might be a better solution. And if you’re approaching an expert in Method B, don’t expect them to tell you that this method won’t work; a solution provided by this expert will inevitably include at least some of Method B. Besides, there is always a chance that Methods C, D, or E exist, but because you never heard of them, you don’t know appropriate experts. Saying it differently, when asking for an expert opinion, you automatically narrow the scope of potential solutions to what you already know. Crowdsourcing is different. Unless you specifically say that you’re interested only in Methods A or B, incoming solutions will be focused on solving your problem, not the way of solving it. That’s why a properly designed crowdsourcing campaign often results in highly original, even completely unexpected, solutions forcing your clients to exclaim in awe, “Wow, we never thought about that!”
  4. Yet another reason for the slow adoption of crowdsourcing is the lack of trust in the intellectual power of a crowd. Sure, it’s OK to apply the proverbial “wisdom of crowds” to accomplish a simple task, such as creating a corporate logo or choosing the name for a city landmark. However, when it comes to answering questions that require specialized knowledge, corporations prefer to turn to experts. A fundamental flaw of the notion that people participating in crowdsourcing campaigns are just a bunch of “amateurs” is that real-life crowds are composed of experts. True, they might not be experts working in your field or in your industry; but they’re experts in something, nonetheless. Moreover, research shows that someone’s likelihood of solving a specific problem increases with the distance between this person’s own field of technical expertise and the problem’s domain. Crowdsourcing folklore is full of stories featuring a patent attorney cracking chemical synthesis problems in his spare time, or a protein crystallographer who solved a toxicology mystery that puzzled a bunch of seasoned toxicologists.
  5. When pointing to the virtues of crowdsourcing, I’m not trying to pit experts against “crowds.” Crowdsourcing is impossible without experts. Only experts can identify and properly formulate problems that organizations are facing. Only experts can understand and evaluate external proposals to select those that make sense. Only experts can combine external information with the knowledge available in-house. It’s only at this midpoint of the problem-solving process — at the stage of generating solutions to the problem — that crowds are usually superior to experts. We, therefore, should consider experts and crowds as complementary tools in every innovation management toolbox. There is no sense to discuss which tool is better; each should be used at its proper place and time.
  6. Crowdsourcing is first and foremost a question, a question that you ask a crowd of contributors. It doesn’t matter what this question is about, if it’s well thought out, properly defined, and clearly articulated. Yes, it can be a question about a solution to a problem. And yes, it can be a question about the problem itself. So, when asked what one needs to run a successful crowdsourcing campaign I always answer: only two things. A question and a crowd.
  7. I’m not a big fan of using military terminology for non-military topics. Yet, it’s tempting to compare a crowdsourcing campaign to a military operation. To begin with, you need a large and competent crowd (your “army”) to solve a problem. But even more importantly, you must define this problem (your “enemy”) so that the crowd can attack it in the most efficient way. Failing to do so will make your enemy elusive and your campaign unfocused and, inevitably, unsuccessful. I call it the “80:20 rule”: in my experience, about 80% of unsuccessful crowdsourcing campaigns failed because the problem presented to the crowd was not properly defined; only 20% failed because of a poor match between the problem and the crowd’s skillset.
  8. Crowdsourcing is often confused with brainstorming but there is a principal difference between the two. When you brainstorm, you put a question to a few people and let them come up with answers. As the brainstorming session progresses, people propose their own ideas, capitalize on the ideas of others, or perhaps redefine the question itself. Many people believe that if you replace this group of four to seven — reportedly the optimal number of people for brainstorming — with a crowd of dozens or even hundreds and move this discussion online, you’ll get crowdsourcing. But this is not true. Crowdsourcing is different from brainstorming in one crucial aspect: it requires the independence of opinions. In contrast to brainstorming, during a crowdsourcing campaign, you must make sure that the members of your crowd, whether individuals or small teams, provide their input independently of the opinions of others. It’s this aspect of crowdsourcing that allows avoiding groupthink and other cognitive biases and leads to the delivery of highly diversified, original, and often completely unexpected solutions to the problem — as opposed to brainstorming, which almost always ends up with the group reaching a consensus.
  9. Online communities give us many diverse options to interact with other people. Every option is a tool of sorts, and as any tool, it should be used with a full understanding of what it can or can’t do. Among other tools, crowdsourcing stands out by being, first and foremost, a question that you ask a crowd. The quality of the question is the most crucial factor in determining the quality of the answer. You ask the crowd a smart question — you have the chance to get a smart answer. You ask the crowd a stupid question — the answer will almost certainly be stupid. It’s this simple.
  10. It’s difficult to precisely define how many people one should bring together to have a “crowd.” However, from the practical point of view, this number isn’t vitally important. I used to work with relatively small crowds, no more than just a few dozen people, that nevertheless successfully solved difficult problems. The opposite is also true: a crowd composed of more than a hundred thousand may well fail to deliver a good solution. Much more important than the crowd size is its diversity. If I had to choose between a crowd composed of ten thousand military officers — or ten thousand lawyers, or ten thousand farmers — and a crowd of only one thousand that included military officers AND lawyers AND farmers, I would choose the latter. And if offered the opportunity to work with a crowd of a million, I would not even bother to ask about the crowd’s composition. I know that by virtue of its sheer size, such a crowd will include people of different professional, educational, cultural, and cognitive backgrounds — in other words, everyone to make up an “ideal” crowd.
  11. Unfortunately, many organizations begin launching external crowdsourcing campaigns before engaging internal crowds. The results are often disappointing: lacking internal support, external ideas and solutions are often met with stiff resistance from inside the company. Their implementation gets stalled, then tacitly boycotted, and eventually rejected. To add insult to injury, such outcomes give additional ammunition to naysayers, who jump at the opportunity to claim that “crowdsourcing doesn’t work for us.” This is not to say, of course, that organizations should postpone experimenting with external crowdsourcing until they master the art and science of internal (which may take years). My point is that the full potential of external crowdsourcing for any organization will only be realized by the concerted effort of connected employees capable of identifying and defining their own needs. Or, to say it differently, the power of crowdsourcing comes from the strength within.
  12. A few years ago, a group of New York City-based entrepreneurs proposed an interesting version of crowdfunding, crowdraising, an approach that allows crowds to pledge time instead of money to support projects and causes they care about. Any organization with a worthy goal would be capable of using crowdraising to hire a crowd to perform business-related activities. These activities could be as simple as taking part in a survey, conducting beta testing, or giving feedback. But they could also involve more complex tasks, such as coding, design work, or strategic advice. After completing their work on the project, the members of the crowd would be expected to be rewarded: from a free product sample for simpler tasks to cash or equity for more complex activities. As far as I know, this approach hasn’t yet been realized in practice. However, I consider crowdraising a promising idea with the potential to create a new paradigm of finding and hiring employees in the gig economy. Taken together with new ways of problem-solving (provided by crowdsourcing) and raising money (provided by crowdfunding), all three approaches may profoundly shape the future of work. And there is something else I strongly believe in: new ways of capitalizing on the wisdom of crowds will emerge.
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Innovation and Freedom

This article has originally appeared in the International Market & Competitive Intelligence magazine (July/August 2023)

With giant waves of technological change rocking every corner of the global economy, innovation isn’t a luxury anymore, not even a matter of choice; it’s a means of survival. The mantra “innovate or die” may sound like a cliché, yet it correctly reflects the contemporary business environment, in which companies must relentlessly innovate to just stay in business.

Unfortunately, managing the innovation process in a sustainable way turned out to be difficult for a lot of organizations. Many of them have failed to establish the structure and processes needed to run effective innovation programs and instead are wasting time on chasing the elusive “culture of innovation.”

To be sure, it’s impossible to deny the importance of the human component in any business process, including innovation. But it’s much more important to design and implement actionable corporate policies that boost innovation. There is no need to start from scratch: specific socio-economic factors affecting innovation have long been described in the literature.

When analyzing these factors, I came to a somewhat unexpected conclusion: one of the most powerful drivers of innovation — and the one that draws surprisingly little attention — is freedom. Yes, freedom. Freedom emerges as a common denominator for the factors that boost innovation. The reverse is also true: restrictions on liberties have a chilling effect on the corporate innovation process.

In this article, I’ll present evidence showing that freedom has a positive effect on innovation. I’ll also show that this effect manifests at three major levels: individual, organizational, and national.

Freedom of being yourself

I suspect not many people have heard about employment nondiscrimination acts (ENDAs). ENDAs are US state-level laws that prohibit discrimination based on sexual orientation and gender identity. A 2016 study showed that firms located in US states that have passed ENDAs obtained more patents, a popular measure of innovation, than firms in US states without ENDAs. The result was more pronounced for the firms in human capital-intensive industries, such as technology and finance, and, unsurprisingly, in the states with a large LGBTQ+ population.

Another study, published in 2018, used the same innovation metric, the state-level patenting, to study the effect of two social liberalization policies: the legalization of medical marijuana and same-sex marriages. The study showed that the adoption of these two policies increased state-level patenting. In contrast, the laws imposing restrictions on abortion had a negative effect on innovation in the states that adopted anti-abortion legislation.

I’m not aware of any data indicating that people smoking weed or belonging to LGBTQ+ communities are intrinsically more innovative. Instead, I argue that innovation requires a certain level of individual freedom, including freedom from being discriminated against for whatever reason.

This point echoes the results of a 2015 study describing team building at Google, one of the world’s most innovative companies. The study listed five key factors that set successful Google teams apart; the most important factor of the five was psychological safety, the ability of team members to take risks without feeling insecure or embarrassed.

Given the above findings, what actionable measures can companies undertake? The answer is simple: to energize their diversity, equity, and inclusion (DEI) programs.

The positive effects of diversity on innovation are well documented. Everyone agrees that diverse people bring unique information, perspectives, and experiences — all necessary components of successful innovation. But let’s not overlook another major benefit of a diversified and inclusive marketplace: freedom of being yourself.

Freedom to try and then try again

Economists have long argued that conditions incentivizing employees to innovate must include tolerance for early failures. This allows corporate innovators to take risks at the initial stages of the innovation process — when the rate of unsuccessful experiments is especially high — without facing negative consequences for failed projects.

Available empirical evidence supports this point of view. For example, an analysis of the impact of labor laws on innovation in five countries (the United States, the UK, France, Germany, and India) showed that stronger labor laws — i.e., laws making it more difficult to dismiss workers — positively correlated with a country’s innovation output.

Another study investigated the impact on innovation of the wrongful discharge laws (WDL) in the United States. These laws provide employees with greater protection than employment at will, a common arrangement under which employees can be terminated with or without just cause. The WDL, particularly those that protect employees from termination in bad faith, were found to foster innovation by increasing the employees’ motivation and effort.

These results strongly suggest that corporate innovation is boosted by laws that limit firms’ ability to dismiss employees at will. Experts call this phenomenon an “insurance effect”: feeling increased protection from the negative consequences of failure, employees are more committed to engaging in risky innovative projects.

Companies can capitalize on these findings by modifying their employment policies. For example, they can place employees involved in strategic innovation projects on fixed-term (say, 3-5 years) employment contracts, as opposed to employment at will. Alternatively, the creation of tenure-like job arrangements for the same employees can be considered.

Regardless of specific actions, I insist that providing employees with immunity for failed innovation projects (i.e., giving them the freedom to try and then try again) is a better way to promote innovation than by “celebrating failures.”

It turns out that not only individual innovators, but companies too, enjoy the freedom to fail. This was a conclusion of a 2011 study analyzing the relationship between startups and venture capital (VC) investors. The study examined VCs’ willingness to continue investing in ventures that missed their target milestones. The study showed that startups backed by more failure-tolerant VCs were more innovative, as judged by the number and quality of patents these startups filed. The authors of the study also found that the effect of VC tolerance to failure was much stronger when the failure risk was higher (e.g., in drug discovery) so that VC support was more needed and valued.

Even innovation in large companies benefits from some protection. An analysis of  bankruptcy laws in 12 countries showed that more debtor-friendly bankruptcy codes (i.e., codes favoring firms filing for bankruptcy) had a positive effect on corporate innovation. The debtor-friendly laws are thought to encourage firm-level innovation by keeping the firms’ innovative activities alive even at bankruptcy.

Although local labor laws are largely out of corporate control, companies might consider them when choosing the location for their new innovation centers. And startups, of course, have some leeway in choosing VC firms to work with.

Free countries innovate better

The importance of external factors, such as a host country (or a region within a country), on the firm’s ability to innovate has long been recognized. For example, a 2001 study showed that a relatively small number of characteristics of a nation’s business environment explained a striking difference in innovation outputs between developed and emerging economies. The most notable among those characteristics were the overall human and financial resources a country devotes to R&D; public policies relevant to innovation activity (e.g., IP protection and tax-based incentives for innovation); and the country economy’s openness to trade and investment.

However, there is one more level of influence that is almost never considered: the level of a country’s political freedoms.

Take a look, for example, at the 2019 edition of the Global Innovation Index (GII) which ranks the global innovation performance of approximately 130 economies by using a few dozens of indicators.

Even a brief look at the Index leads to a curious observation: the top of the ranking is heavily populated by countries representing established, mature democracies. The reverse was also true: the bottom of the Index is stacked with countries with an abysmal level of democratic development.

To see if this observation had any statistical significance, I plotted the GII rankings against the political freedom rankings provided by the Democracy Index 2020. (The latter index ranks countries on a scale of 0 to 10, marking them as authoritarian regimes, hybrid regimes, flawed democracies, and full democracies). Indeed, a solid correlation (R2 = 0.46) between the two parameters exists indicating that the ability of a country to innovate positively correlates with the level of political freedom in this country. Or, to use a more straightforward language, free countries innovate better.

This finding may have implications for U.S. policymakers when they allocate funds to promote entrepreneurship and innovation abroad. Government officials would be wise to consider the maturity of democratic institutions in recipient countries when anticipating potential returns on innovation investment.

The same is true for domestic spending. Consider the idea to create eight to 10 regional growth centers in the Midwest metro areas of the United States. Central to the idea is the infusion of about $100 billion of federal money over the next 10 years in the form of direct R&D funding, tax and regulatory benefits, and infrastructure support. Concerningly, many of these prospective growth centers are planned to be in the states that have implemented the most restrictive abortion laws (and some other anti-liberal legislation) in the country. Do we expect these centers to become beacons of innovation?

Of course, individual companies may have a limited influence over a country’s level of political freedom. And yet, every company can — and I think should — make its voice heard every time our liberties are in danger be it around the globe or across a state line.

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Ideas are a dime a dozen. Are they really?

The image was created with the help of Microsoft Designer

This piece has been originally posted on Medium.

Did you hear that idea generation is the easiest part of the innovation process? I’m sure you did. Generating ideas is easy, many people say; it is at the stage of incubating and scaling these ideas that the innovation engine begins to choke. Taken to extremes, this approach leads to the perception that novel ideas are plentiful and cheap. “Ideas are a dime a dozen.” Are they really?

A joint team of researchers from Stanford and MIT has recently challenged the dogma of “plentiful and cheap ideas.” They presented evidence that research productivity, a scientific term for a layman’s “idea,” is actually declining. According to the authors’ calculations, research productivity across the whole US economy declines at an average rate of 5.3% per year. More specifically, in semiconductors (the playground of the famous Moore’s Law), research productivity is declining at a rate of 6.8% per year; in agribusiness and pharmaceutical research, the annual decline is about 5.0%.

In other words, contrary to popular belief, ideas are not plentiful; we are experiencing a growing shortage of ideas.

If research productivity is on the decline, how then has steady economic growth been sustained? The answer is simple: by raising what economists call research effort, which in plain language means the number of researchers. Indeed, the number of researchers required to achieve the famous doubling, every two years, of the density of computer chips (Moore’s Law) is more than 18 times larger today than it was in the early 1970s.

In some areas of agricultural research, the number of scientists has risen 23-fold between 1969 and 2009. And while research productivity responsible for the drugs approved by the FDA between 1970 and 2015 has been declining at an annual rate of 3.5%, this decline was offset by a 6.0% annual growth in the number of researchers.

Now, let’s do some math. If the number of ideas is declining while the number of people generating them is growing, how can these ideas be cheap? You’re right: they can’t. The ideas are becoming more, not less, expensive.

We can at least hope that the quality of novel ideas remains high. Alas, nothing supports this intellectual refuge. Consider this: by the end of 2019, the venture capital industry had accumulated a whopping $121 billion in so-called “dry powder,” the money for which venture capitalists failed to find ideas to invest in. Plentiful and cheap innovative ideas, where are you!?

Let’s then ask this fundamental question: where do these novel ideas come from in the first place? The answer looks obvious: from R&D, where else?

Exactly, and here is the root of the problem. In the decades that followed World War II, entirely new sectors of the U.S. economy have been created: jet aircraft, modern-day pharmaceuticals, microelectronics, satellites, and digital computers. All these developments happened thanks to a heavy infusion of public money, with the federal government contributing more than 50% of R&D expenses.

Back to our days. Although the total US spending on R&D has remained steady for the past years, at 2.5% of GDP, only about 30% of the money now comes from the federal government; 70% of it is contributed by the private sector. With its focus on rapid ROI and beating competition, will the private sector spend money on fundamental — and therefore inevitably long-term and risky — R&D projects? No.

The quantity and quality of novel ideas are declining because sources of new scientific discoveries in the United States are gradually drying up. Sure, the industry can still generate incrementally innovative combinations of old ideas — which may still be plentiful and cheap — but it will fail to create breakthrough innovations.

What is to be done? First of all, we need to resume public R&D spending at the level that ensured the U.S. domination in innovation in the past. But we also need a renewed focus on idea generation. We need to identify conditions that will ensure a steady flow of innovative ideas and draw a roadmap to creating these conditions — with sources of funding clearly marked.

It is time to bring “ideas” back to innovation.

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Want a Big Idea? Take a Shower and Sit Under the Apple Tree

The image was created with the help of Microsoft Designer

This piece has originally been posted on Medium.

It keeps amusing me how many people claim that their best creative ideas come to them in the shower. What is so special about the shower being a cradle of creative ideas?

Jokes aside, the issue of creativity lies at the very center of the innovation process. Innovation is impossible without ideas. Of course, the whole process only starts with them, and many additional steps are required to convert a “naked” idea into a marketable product or service. But while the implementation part of innovation has a solid footing in the product development process, it’s the ideation part of it that looks uncertain and unpredictable.

Can we control the creative process? Can we ensure a steady flow of creative ideas at will (or, as they like to say these days, “on-demand”)?

The Myth of Serendipitous Discovery

Popular literature is full of stories about crazy geniuses making their great discoveries “by chance,” serendipitously, apparently without even realizing the consequences of their actions.

The most canonic story is the one about the great Isaac Newton. One day, the story goes, a young Isaac was sitting beneath an apple tree in his stepfather’s garden. Suddenly, a falling apple hit him on the head. “Eureka!,” cried Newton (or was it another genius on another occasion?) and immediately understood that the very same force that brought the apple down also kept the Moon falling toward the Earth: gravity.

Another story describes a Scottish biologist, Alexander Fleming, who, in 1928, was experimenting with staphylococcal bacteria. One day, Fleming left an uncovered Petri dish infected with bacteria sitting next to an open window — a serious violation of the lab safety protocol, if you ask me, a trained microbiologist. When the dish became contaminated with mold spores, Fleming observed that the bacteria in proximity to the mold were dying. He was able to identify the mold as a member of the Penicillium genus. The door to the invention of the first antibiotic drug was swung open.

Closer to modern times is a narrative about Percy Spencer, an engineer at Raytheon. One day in 1945, Spencer was fiddling with a microwave-emitting magnetron. Suddenly, he found that a chocolate bar in his pocket had melted. Realizing that the microwave radiation of the magnetron was to be blamed, Spencer invented the microwave oven.

Some people would interpret these stories as evidence that discoveries happen as a pure piece of luck. What if it was raining that day and Newton stayed at home instead of stepping out into the garden? What if the apple missed his head? What if Fleming was a responsible person and did not leave open Petri dishes with potentially dangerous bugs? What if Spencer did not like chocolate and carried something else — a healthy apple snack, for example — in his pocket?

These questions, while fueling public fascination with science — which is a good thing — do not make much sense to any scholar of scientific discoveries. By the time the fateful apple hit Newton’s head, he, despite his young age, had spent years contemplating the laws governing planet movements. Fleming was a prominent scientist studying factors affecting staphylococcal bacteria growth and well-being. And Spencer had solid experience in working with devices emitting microwaves.

They invented what they invented not because they were lucky, but because they were prepared. Their discoveries could not be predicted in advance; yet, they were inevitable.

The Power of Prepared Minds

True, a discovery may look serendipitous if made by someone with no obvious experience in a particular scientific field. However, academic research finds no compelling evidence that effective problem-solving requires precise expertise in a specific topic. Moreover, available data show that in some cases, a contributor’s likelihood of solving a problem increases with the distance between their field of technical expertise and the problem domain.

Take, for example, the story of John Davis, who solved a complex technical problem proposed by the Oil Spill Recovery Institute. The problem was to find a method to separate oil that had solidified into a viscous mass with frozen water in recovery barges. John had no background in the oil industry but he knew how to work with concrete. He remembered a tool that used vibration to keep cement in liquid form during mass cement pours. John realized that attaching a long pole and inserting the tool into the oil recovery barges, would keep the oil from freezing into a viscous state and allow it to be pumped from the barge.

Even more fascinating is the story of Jorge Odon, a middle-aged car mechanic who ran an automobile service center in Lanus, Argentina. One day, Jorge watched a YouTube video showing how to get a loose cork out of the bottom of a wine bottle. Inspired by what he saw, Jorge designed a medical device that could facilitate childbirth during a complicated delivery.

Amazingly enough, Odon had no background in medicine, save for obstetrics in particular; nor did he have any prior exposure to the issue of childbirth complications. But he had a prepared mind and a vivid imagination. And that was enough to make one of the most exciting medical discoveries of our times!

Does the Creative Process Need Structure?

Talks about serendipitous discoveries might be fun when they are confined to discussing historic figures like Newton and Fleming. Unfortunately, some people and organizations take a step further to claim that because of its serendipitous nature, the whole creative process must remain “unstructured.” Why? Because, they argue, “structure kills creativity.”

I cannot disagree more. The creative process can and should be structured as any other process involving humans. In his book “Borrowing Brilliance,” David Murray separated the creative thinking process into six steps. Each step has its peculiar set of features and rules, following which will make you more creative — and your ideas more valuable. I’d also like to mention the tremendous practical success of the design thinking approach, a formal methodology for creative problem-solving.

I will finish this article by quoting the advertising genius David Ogilvy who, in my opinion, gave the best description of how creativity and structure are connected: “Give me the freedom of a tight brief!”

This is how I interpret what Ogilvy said: Here is a problem we’re trying to solve. Here are the requirements any successful solution must meet. Here are the criteria we’ll apply to select the best solution. And that’s it. Now, go and find this solution. And while so doing, feel free to be creative, innovative, unexpected, unpredictable, unprecedented, uncontrolled, bold, wild, out-of-the-box, and out of mind. And serendipitous too, of course.

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The Inverted-U Law of Innovation (and Life)

The image was created with the help of Microsoft Designer

This piece has originally appeared on Medium.

I like to argue that providing workers with immunity for failed innovation projects is a much better way to promote corporate innovation than by “celebrating failures.” One way to do this would be to modify corporate employment policies. For example, companies can place employees involved in strategic innovation projects on fixed-term employment contracts instead of employment at will.

This point of view is based on research by Viral V. Acharya and his colleagues. They showed (here and here) that laws that limit firms’ ability to discharge employees promote corporate innovation. The authors call this phenomenon an “insurance effect”: feeling increased protection from the negative consequences of failure, employees are more committed to engaging in risky innovative projects.

The dose makes the poison

Not everyone agrees with Acharya and his co-authors. For example, a 2019 study tracked employment protection across 20 OECD countries from 1950–2003. The study found a 5% decrease in the number of patents and their quality submitted by firms after a major increase in employment protection (relative to a set of firms operating in the same industry at the same time but located in countries without changes in employment protection). The study concluded that labor protection impedes, rather than promotes, innovation.

This conclusion is supported by findings showing that strong labor protection effectuated by trade unions negatively affects innovation within firms. One mechanism causing this negative effect might be reduced investment in innovation at the firm and industry levels.

I think the best way to reconcile all the results described above is to suggest that the relationship between labor laws and innovation is not linear but follows an inverted-U pattern instead. When the level of workers’ protection is too small, increasing it through adopting stricter labor laws provides job insurance against failures and therefore spurs innovation. However, providing too much protection — e.g., forced by the unions — stifles innovation via multiple mechanisms, including reduced investment in innovation, restricted labor mobility, etc.

Is religious diversity good or bad for your team’s performance?

It appears that an inverted-U dependency applies to other fields. For example, a 2016 article describes the effects of team religious diversity — the degree to which team members differ in their religious beliefs — on the performance of 66 health teams in three large hospitals in Dubai, UAE, a predominantly Muslim country.

Using the proportion of Muslims vs. non-Muslims within a team as a measure of religious diversity, the authors found an inverted U-shaped relation between diversity and performance: moderate diversity was associated with higher performance, while homogeneous and highly heterogeneous teams underperformed moderately diverse ones (see the picture below, reproduced from the article).

Interestingly, the positive effect of moderate diversity on performance was stronger for teams charged with more complex tasks (e.g., surgical vs. clinical teams), which reminds us of the fact that the positive effect of social policies on innovation is especially strong in knowledge-intensive industries, such as technology and finance.

When more is too much

Another article analyzed the role of domain experts (people whose primary professional experience is within a specific industry) on the performance of corporate boards. The authors wanted to know how the proportion of domain experts affected the board’s performance.

They looked at financial data for 1,300 community banks and found that when banks faced increased levels of uncertainty, the higher proportion of domain experts on the board resulted in a higher likelihood of banks’ failure. The major problem with having too many domain experts was “cognitive entrenchment,” the inability of expert-dominated boards to effectively respond to new information or unfamiliar situations.

Sounds like “too much” knowledge and expertise harms performance. Weird, isn’t it?

In fact, we shouldn’t be surprised: our own experience tells us that many things in life are good “in moderation.” For example, at small doses, the rattlesnake venom can be used to treat arthritis and cancer, but it becomes deadly at larger doses. Similarly, we all long for attention from our loved ones, yet we begin protecting our space when this attention gets overwhelming.

So, in innovation, business — and life in general — dose is everything. You may remember this wisdom tonight when adding salt to a dish you cook for dinner.

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How to Build Your Innovation Dream Team?

The image was created with the help of Microsoft Designer

This piece has been originally posted to Medium.

You can hear this time and again: innovation is all about people. Even if you’re a great fan of AI, you’d hardly expect robots to replace human innovators any time soon. And if you also love another popular cliché, the one saying that innovation is a team sport, you arrive at a natural conclusion that to pursue a corporate innovation project, you need a dedicated innovation team.

Do you need an innovation team?

Or perhaps not. Many people believe that “innovation is everyone’s job” and argue that any structure kills creativity and stifles innovation. Worse, the idea that “innovation is everyone’s job” is alive and well in some organizations. (I happened to work for one.)

Why? Because this allows corporate leadership to adopt a hands-off approach to innovation. No need to formulate the company’s innovation strategy and identify key business problems to solve. No need to design and implement specific innovation programs. No need to create a reward and recognition system that would incentivize employees’ engagement in innovation activities.

Instead, corporate leaders announce an open season for “ideas,” launch an innovation hackathon or two, and then claim that the collective wisdom of the whole company has been harnessed. (Ironically, helping this hands-off approach to innovation survive is the proliferation of easy-to-use innovation management software.)

Fortunately, more and more corporate leaders understand the need and the value of creating a dedicated innovation team. Of course, every employee should ideally take part in innovation projects, but it’s the ultimate responsibility of the innovation team to take ownership of the whole process. Besides, anyone with even a passing knowledge of how corporations work knows that when everyone is responsible for something, no one is.

And then, a crucial question arises: how to build your innovation dream team?

A few approaches exist.

Innovative people for innovation teams

The first approach emphasizes the personal skills of the team members. That’s why you can sometimes hear that the best way to staff your innovation team is to hire…innovative people. Great advice, of course, but unfortunately, with limited practical value.

This is not to say that more specific recommendations are unavailable. For example, Soren Kaplan suggests looking for these five qualities when recruiting new members of innovation teams:

§ Leapfrogging mindset: a desire to view the world with the goal to change it.

§ Complementary knowledge: possessing the knowledge and expertise that is complementary to what already exists in your organization.

§ Strategic relationships: bringing along a strong network of business partners.

§ Ambiguity tolerance: the ability to make decisions based on limited data.

§ Optimistic persistence: the ability to persist through tough times.

I like these suggestions, I really do. However, I suspect that most corporate HR departments, even those equipped with advanced evaluation tests, will have trouble finding enough candidates to meet such a high standard.

When a revolutionary meets a magic maker

The second approach pays less attention to the skill set of individual team members; instead, it emphasizes the need for their optimal mix. This approach focuses on the functional roles each member of the team plays in the project. To this end, Braden Kelley suggested that each innovation team should include nine personas, of which the following five are, in my opinion, the most important:

§ Revolutionary: a team member generating and sharing ideas.

§ Connector: a team member bringing people together.

§ Customer Champion: a team member responsible for interactions with customers.

§ Magic Maker: a team member responsible for implementing novel ideas and solutions.

§ Evangelist: a team member creating a buzz about the project and its results within the organization.

(The other four roles are ConscriptArtistTroubleshooter, and Judge.)

This approach is obviously more practical than the first. In fact, many organizations have already adopted the spirit, if not the exact letter, of it by creating innovation joint task forces composed of representatives from different corporate units and functions: R&D, sales, marketing, customer service, finance, legal, etc.

Implicit in the formation of such innovation teams is the understanding of the importance of including people with diverse professional expertise and experience.

In recent years, the concept of functional diversity has been solidified by a growing body of evidence suggesting that socially diverse groups (i.e., those with a diversity of gender, race, ethnicity, and sexual orientation) are more innovative than socially homogeneous groups. Research shows that socially diverse groups are better at solving complex problems not only because people with different backgrounds bring new information, but also because the mere presence of individuals with alternative viewpoints forces group members to work harder to sharpen their own arguments.

This is good news for HR managers in charge of creating innovation teams. In our rapidly globalizing business environment, bringing together people with diverse professional and social attributes is much easier than chasing individuals with nebulous qualities such as leapfrogging mindset.

It’s all about the process

There is the third approach to the formation of innovation teams. This approach doesn’t dwell on the team composition or individual skills of its members; it emphasizes the way the team operates.

The logic behind this approach was eloquently articulated in a 2015 article by Google’s Julia Rozovsky. The article argued that the composition of a team mattered much less for its success than how the team members interacted, structured their work, and viewed their contribution. The article listed five key factors that set apart successful Google teams:

§ Psychological safety: team members take risks without feeling insecure or embarrassed.

§ Dependability: team members count on each other to do high-quality work.

§ Structure & clarity: teams have clear goals, roles, and execution plans for each member.

§ Meaning of work: team members are working on something that is personally important to them.

§ Impact of work: team members believe that their work matters.

Interestingly, it’s the first factor, psychological safety, that was by far the most important of the five. The safer team members felt with one another, the more likely they were to admit mistakes, work together, and take on new roles — and this obviously positively affected every aspect of their work.

The very notion that innovation requires taking risks without fear of negative repercussions is hardly new. We all used to hear calls to “fail fast and often” (or even to “celebrate failures”) as a surrogate invitation to innovate. However, as I argued before, while voiceful in advocating risk-taking, relentless experimentation, and learning from mistakes — all being parts of the elusive “culture of innovation” — companies often fail to introduce specific corporate policies encouraging such behavior.

From words to deeds

Based on my research of factors boosting innovation, I’d like to propose a few specific recommendations for building corporate innovation teams:

1. Create a brand-new team for each strategic innovation project and adopt a modular approach to the formation of innovation teams.

To avoid groupthink, I recommend creating a brand-new team for each strategic innovation project. This may result in the project’s slower start; however, the benefits of the cognitive diversity brought by new members will eventually outweigh the cost of the initial delay. I further recommend that each innovation team include members of the core innovation team (thoroughly trained in innovation management tools) and outsiders from different units, functions, and locations. Naturally, this modular approach requires the creation of a firm-wide repository of employees with a track record of involvement in innovation activities. At some point, such a repository should start collecting data assessing the innovation skillsets of prospective team members and their optimal functional roles within the team.

2. When creating innovation teams, use a mix of subject-matter experts in the project’s domain and non-experts in this specific area.

This recommendation takes a cue from a 2016 study that showed that the high ratio of domain experts on corporate boards resulted in poor performance of respective firms. The major problem with having too many domain experts on the board was “cognitive entrenchment,” the inability of expert-dominated boards to effectively respond to new information, especially when faced with an increased level of uncertainty. (And an increased level of uncertainty is what innovation is all about!) Of course, the optimal ratio of SMEs vs. non-experts needs to be determined empirically, but for longer-term projects, it can be periodically adjusted.

3. When creating an innovation team for customer-oriented projects, include team members with demographic characteristics mirroring the ones of the prospective end users.

This recommendation is inspired by a 2013 report by the Center of Talent Innovation that found that when innovation teams had one or more members of the same gender, ethnicity, culture, age, or sexual orientation as the project’s target end user, the entire team was far more likely to understand this user’s needs, which increased the likelihood of success.

4. Place members of the innovation team — especially those involved in strategic innovation projects — on fixed-term (tenure-like) employment contracts, as opposed to employment at will.

This proposal is based on multiple studies (reviewed here) showing that the labor laws that make it more difficult to fire employees increase their participation in corporate innovation activities. The idea here is to provide members of the innovation team with immunity from failure for the whole duration of the innovation project, a bureaucratic equivalent of providing them with psychological safety.

5. Make stock option grants, as opposed to cash bonuses and other monetary or non-monetary rewards, the principal incentive for engaging employees in innovation projects.

This proposal is based on a 2015 finding that firms that offer stock options to non-executive employees are more innovative. This proposal, as the previous one, is based on a theoretical framework created by Gustavo Manso, who postulated that the optimal incentives motivating employees to innovate must include a combination of tolerance for failures in the short term and reward for success in the long term.

Of course, there is no guarantee that any of the proposed recommendations, especially taken alone, would result in an immediate positive outcome. But if you believe, as I do, in the importance of experimenting, then experimenting with the way you build your innovation team is a good place to start. Who knows, you may discover that the number of innovative people in your organization is larger than you expected.

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Freedom to Innovate

This image was created with the help of Microsoft Designer

This piece has been originally posted to Medium.

Did you realize that one of the most important drivers of innovation — and the one that draws surprisingly little attention — was freedom? Yes, freedom.

I came to this conclusion while analyzing specific socio-economic factors affecting innovation. Freedom emerges as a common denominator for the factors that boost innovation. In contrast, restrictions on liberties have a chilling effect on the corporate innovation process.

There are three major levels at which freedom affects innovation: individual, organizational, and national.

Freedom from discrimination

Have you heard about employment nondiscrimination acts (ENDAs)? These are US state-level laws that prohibit discrimination based on sexual orientation and gender identity. A 2016 study showed a significant increase in the number and quality of patents obtained by firms headquartered in US states that have passed ENDAs compared to the states that have not. The result was more pronounced for the states with a large LGBTQ+ population and for firms in human capital-intensive industries, such as technology and finance.

Another study, published in 2018, pointed to a positive effect on the innovation of two social liberalization policies: the legalization of medical marijuana and same-sex marriages. In contrast, the laws imposing additional restrictions on abortion had a negative effect on innovation in the states that adopted such legislation.

No, I’m not saying that people smoking weed or belonging to LGBTQ+ communities are intrinsically more innovative. My point is that innovation implies a certain level of individual freedom, including freedom from being discriminated against for whatever reason.

The labor laws of innovation

Theoretical analysis conducted by Gustavo Manso in 2011 suggests that conditions incentivizing employees to innovate must include tolerance for early failures. This allows corporate innovators to take risks at the initial stages of the innovation process — when the rate of unsuccessful experiments is especially high — without facing negative consequences for failed projects.

Available empirical evidence supports Manso’s conclusion. For example, an analysis of the impact of labor laws on innovation in five countries showed that stronger labor laws positively correlated with a country’s innovation output.

Another study investigated the impact on innovation of the wrongful discharge laws (WDL) in the United States. These laws provide employees with greater protection than employment at will, a common arrangement under which employees can be terminated with or without just cause. The WDL, particularly those that protect employees from termination in bad faith, were found to foster innovation by increasing the employees’ motivation and effort.

These results strongly suggest that innovation is promoted by laws that limit firms’ ability to discharge employees at will. Experts call this phenomenon an “insurance effect”: feeling increased protection from the negative consequences of failure, employees are more committed to engaging in risky innovative projects. I would argue that providing employees with immunity for failed innovation projects (i.e., with freedom from being fired, so to speak) might be a better way to promote innovation than by “celebrating failures.”

Interestingly, corporate innovation is helped by protecting not only individual employees but firms too. A study of bankruptcy laws in 12 countries showed that more debtor-friendly bankruptcy codes (i.e., codes favoring firms filing for bankruptcy) had a positive effect on corporate innovation. The debtor-friendly laws are thought to encourage firm-level innovation by keeping the firms’ innovative activities alive even at bankruptcy.

Innovation and political freedoms

There is one more level of influence that is almost never considered: the level of a country’s political freedoms.

I first came across this point in 2014 while reviewing the 2013 Global Innovation Index that ranked the innovation capabilities of 142 countries by using 84 indicators, which included, among others, the quality of higher education, availability of venture capital, and government support.

Even a brief look at the Index led me to a curious observation: the top of the ranking was heavily populated by countries representing established, mature democracies. The reverse was also true: the bottom of the Index was stacked with countries with an abysmal level of democratic development.

To give this observation some statistical support, I later used the data from the 12th (2019) edition of the Global Innovation Index that analyzed the global innovation performance of approximately 130 economies (Y-axis) and plotted it against the political freedom rankings taken from the Democracy Index 2019 (X-axis). In the latter case, the countries were measured on a scale of 0 to 10.0, marking them as authoritarian regimes (0–4.0), hybrid regimes (4.0–6.0), flawed democracies (6.0–8.0), and full democracies (8.0–10.0).

The results of the regression analysis are presented below:

A reasonably strong correlation does exist indicating that the ability of a country to innovate positively correlates with the level of political freedoms in this country. To use a more straightforward language: free countries innovate better.

Some actionable recommendations follow.

To promote innovation at the first level, manifested as freedom from being discriminated against for whatever reason, organizations should energize their diversity and inclusion programs.

Promoting innovation at the organizational level appears even more straightforward as firms can protect their innovators by modifying termination policies.

To be sure, individual firms may have a limited influence over a country’s level of political freedom. And yet, every firm can — and should — make its voice heard every time our liberties are in danger, be it around the globe or in a neighboring state.

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The “culture of innovation”: a misnomer or oxymoron?

This image was created by Tatiana Ivanov

This piece has been originally posted on Medium.

I’m amazed at our near obsession with the so-called culture of innovation, a topic whose popularity in business literature and social media can only match the extreme fuzziness of its meaning.

Have you ever heard about companies trying to establish a “culture of accounting”? Nope. They simply follow solid accounting practices. Have you ever heard about companies trying to establish a “culture of quality”? Nope. They adopt the Six Sigma methodology. And what about the “culture of sales,” “culture of marketing,” or “culture of talent management”? Nope, nope, and nope.

It’s only innovation that, in the minds of many, requires a “culture” to exist. Why?

I see two reasons. The first one is that we still don’t consider innovation a normal corporate process, on par with accounting, quality control, marketing, or talent management. We’re often even unsure of what corporate innovation is, as a surprisingly large number of firms don’t have a working definition of what innovation means for them. We hardly bother to understand the difference between incremental, adjacent, and radical innovation and believe that every innovation must be disruptive, while all other types are for losers.

A non-stop talk about the “culture of innovation” becomes a replacement for the lacking corporate innovation strategy.

The second reason is that while many CEOs have mastered the art of talking about innovation, by delivering polished answers to friendly interviewers, a frighteningly large number of them take a hands-off approach to developing innovation strategies and establishing innovation processes. Worse, too many CEOs don’t consider overseeing innovation part of their responsibilities, proudly claiming instead that “in our company, innovation is everyone’s job.”

A non-stop talk about the “culture of innovation” becomes a handy filling of the leadership void.

I believe that the very term “culture of innovation” is a misnomer, if not an oxymoron.

I believe it’s time to stop “failing fast and often” and “celebrating failures” — the two most popular components of building the “culture of innovation” — and begin to design and implement actionable corporate policies boosting innovation.

There is no need to reinvent the wheel; specific socio-economic factors affecting innovation have long been described in business literature. Here I present a list of some of them organized into two groups: innovation dos (boosting innovation) and innovation don’ts (obstructing innovation).

Innovation dos

· Stricter labor laws, such as the 1988 Worker Adjustment and Retraining Notification Act (Acharya et al., 2010); wrongful discharge laws (Acharya et al., 2013); and employments nondiscrimination acts (ENDAs) (Gao and Zang, 2016)

· Legalization of same-sex marriages and medical marijuana (Vakili and Zhang, 2016)

· Diverse workforce and pro-diversity corporate policies (Hewlett et al., 2013Mayer et al., 2016)

· Family enterprise ownership (as opposed to public ownership) (Kammerlander and van Essen, 2017)

· Debtor-friendly (as opposed to creditor-friendly) bankruptcy laws (Acharya and Subramanian, 2009)

· Greater use of long-term financial incentives, such as stock-option grants, to compensate employees involved in innovation activities:

o At the CEO level (Francis et al., 2011)

o At the level of heads of corporate R&D (Lerner and Wulff, 2006)

o At the level of non-executive employees (Chang et al., 2015)

· Better treatment of employees, as measured by:

o The KLD Socrates database (Chen et al., 2016Mao and Weathers, 2016)

o The MSCI ESG STATS database (Mayer et al., 2016)

Innovation don’ts

· Restrictions on abortions (Vakili and Zhang, 2016)

· Creditor-friendly (as opposed to debtor-friendly) bankruptcy laws (Acharya and Subramanian, 2009)

· Unionization (Bradley et al., 2015) (but see discussion in Doucouliagos, 2017 below)

· Income inequality (Doucouliagos, 2017)

· Initial public offerings (IPO) (Bernstein, 2017)

You could argue that some of the factors listed above, such as employment, bankruptcy, and abortion laws, are largely out of corporate control.

Yet, both corporations and policymakers should consider the local legal environment when choosing the location of future innovation centers. For example, an idea is floating to create up to 10 regional innovation centers in the Midwest metro areas of the United States with the infusion of about $100 billion of federal money in the form of direct R&D funding, tax benefits, and infrastructure support. Alarmingly, many of these prospective centers are planned to be built in the states that have recently adopted the most restrictive abortion laws in the country. Will these innovation centers be able to innovate?

Legal issues aside, companies can boost corporate innovation by modifying their termination and compensation policies, something that is entirely under their control. Here, I propose two specific recommendations based on a theoretical framework created by Gustavo Manso in 2011:

1. Place employees involved in strategic innovation projects on fixed-term employment contracts (as opposed to employment-at-will). Alternatively, tenure-like positions can be created for these employees. Whatever the arrangement, the employees should be assured that they have a fixed “window of opportunities” — say, three to five years — to make progress before any administrative decisions regarding their performance will be taken.

2. Make stock option grants the principal incentive for engagement in innovation projects — as opposed to cash bonuses or non-monetary rewards.

A larger point that I’d like to make is that corporate innovation begins not with a “culture,” but with structure and processes. And after you created the structure, implemented the processes, and spent years running various innovation programs, while communicating their results to the rest of the company, a habit of innovation may emerge.

And if you want to call this habit a culture, fine with me.

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The Holidays We Celebrate

I remember my first Christmas. I was thirty-six back then.

On a dark, frosty morning of December 15, 1990, my family (my wife and two little kids, aged two and three) and I left St. Petersburg, Russia, and flew to France. I had a six-month research grant to work in a lab in Orsay, a scientific hub southwest of Paris.

The first few days in France were stressful. We moved into a rented apartment, opened utility accounts, and learned ways to move around and buy groceries—none of this being easy, given our lack of French. Besides, our son, apparently shocked by a sudden change in the environment, stopped eating normal food and subsisted on baguettes and sugar.

In the meantime, France was gearing up for Christmas. We didn’t celebrate Christmas in Russia—the New Year with its decorated trees and presents being the major holiday of the season—so the intensity of Joyeux Noel themes and decorations on the streets and in store windows was amusing and even puzzling. But we didn’t have time to think about that.

On Christmas eve, we were invited for dinner at my French boss’s house. In the sitting room, we discovered a tree with real candles lit up. Despite our hosts’ assurance that it was perfectly safe, I spent the rest of the evening watching the tree and ready to fight a fire.

At dinner, my boss’s daughter persuaded our son to try oysters; that had ended his self-imposed hunger strike. He’s been a devoted consumer of oysters ever since.

On parting, my boss told me, with all the strength he, a charming French, could muster: “Don’t even think of showing up in the lab until January. I don’t want people in the building gossiping that I exploit foreigners.”

On our way home, I said to my wife: “Look, we deserve this vacation. Tomorrow, let’s buy a tree—I know a place—and celebrate the New Year as we always do.”

Early next morning, with the kids still sleeping, we left our apartment and went to our supermarché. The absence of people on the streets surprised us. We turned the corner and, to our horror, saw that the lights in the supermarché were out; it was closed.

Refusing to believe our eyes, we reached the place where, a couple of days before, I had seen Christmas trees on sale. The place was empty; a few green needles remained on the neatly swept pavement.

My holiday was stolen from me. I felt devastated. I felt mugged. I felt robbed.

It was my wife, as usual, who rescued us. She found somewhere a large, faintly smelling fir branch, decorated it with a few ornaments (already on post-Christmas sale), and we had our well-deserved New Year family celebration—just the four of us.

My grant had been extended, and we celebrated our next Christmas still in France—as the French: a Christmas tree (no candles, though), good food, champagne, and a lot of gifts for the kids. In the summer, we moved to the United States and celebrated our first Christmas here. Then again, and again. Celebrating Christmas has become a habit, then the favorite holiday of the year. 

I’m not a religious man. For me, celebrating Christmas simply means sharing the spirit of joy with the people around me. I would celebrate Hanukkah or Ramadan if I lived in a Mid-Eastern country. As I would celebrate Thanksgiving on the second Monday in October if I lived in Canada. As I celebrate Cinco de Mayo with my daughter-in-law, who is Mexican.

So, if someone somewhere in the world asks me, “Are you going to celebrate this holiday with us?”, my response will be instant: “I’m game!”

Merry Christmas to everyone who celebrates it!

Image credit: https://countryskillsblog.com/2012/12/20/light-em-up-candles-in-christmas-trees-blog-advent-20/

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