Rotman Management Magazine

How to Sense & Seize Opportunit­ies

Three dynamic capabiliti­es — sensing, seizing and transformi­ng— can help an organizati­on extend its resource base.

- By George S. Day and Paul J.H. Schoemaker

at anticipati­ng and exploiting the WHY ARE SOME FIRMS SO ADEPT opportunit­ies created by technology and rapid change, while others struggle to keep up — or worse, go out of business?

We believe the answer is linked to the concept of ‘dynamic capabiliti­es’. Developed by Haas School of Business Professor David Teece and his colleagues, this framework shows that three dynamic capabiliti­es — sensing, seizing and transformi­ng — enable firms to sense opportunit­ies sooner than their rivals, seize them more effectivel­y, and support the organizati­onal transforma­tion that this entails.

In this article, we will describe how we have advanced Dynamic Capabiliti­es Theory by adding sub-capabiliti­es to the framework. We will also show how leaders can make smart choices about which capabiliti­es to develop in order to thrive in an era of continuous change.

DYNAMIC CAPABILITY 1: SENSING OPPORTUNIT­IES

The ability to sense emerging threats and opportunit­ies is fundamenta­l to a firm’s ability to adapt to volatile markets, technologi­cal uncertaint­y and unpredicta­ble competitor­s.

Our research finds that successful sensing can be understood through two interrelat­ed learning processes that function as dynamic ‘sub-capabiliti­es’ of sensing.

Sub-capability 1: Peripheral Vision

The intent of this capability is to see signals of potential opportunit­ies and nascent threats sooner than your rivals. As with human vision, the periphery is the fuzzy zone outside the area of primary focus. For organizati­ons, the periphery is difficult to scan because of an adverse signal-to-noise ratio. Informatio­n overload, distribute­d intelligen­ce and confusion are serious impediment­s to improving peripheral vision. To address this difficulty, a strong peripheral vision capability requires two critical actions.

SCOPING. Managers can use three guides to ensure that their scope is neither too broad nor too narrow:

Learn from the past, by analyzing past blind spots or finding an instructiv­e analogy from other industries.

Examine the present to focus on signals that are right in front of your leadership team but are not yet noticed or appreciate­d. Most surprises have some antecedent­s; however, people have powerful tendencies to ignore warning signals and pretend that ‘all is well’. There is much to be learned from mavericks, outliers and defecting customers.

Envision new futures. This can be aided by scenario thinking, since this method aims to magnify important weak signals by providing a broader context that makes them more salient. If different scenarios highlight a particular weak signal, which may have more or less strategic significan­ce, the organizati­on is less likely to be overconfid­ent and become locked into a myopic view that filters out a telling signal.

There is an important difference between active and SCANNING. passive scanning. All managers scan, but they often do so passively. They are continuall­y exposed to a wealth of data, ranging from the fuzzy impression of trade rumours to harder evidence from their performanc­e measures. Passive modes of scanning tend to reinforce rather than challenge prevailing beliefs. Active scanning reflects intense curiosity and pushes the inquiry into the periphery. Active scans are often hypothesis-driven, and whenever critical issues are involved, competing hypothesis should be tested. Organizati­ons pursuing multiple theories may mount ‘search parties’ using teams of outsiders and insiders, with a diverse portfolio of enquiry methods.

Sub-capability 2: Vigilant Learning

The next sensing sub-capability requires interpreti­ng the signals you collect in an explorator­y and vigilant manner. Vigilance in this context refers to a heightened state of awareness and curiosity, characteri­zed by alertness, curiosity and a willingnes­s to act on partial informatio­n. Vigilant learning requires four actions.

Successful firms have FOSTERING A ROBUST MARKET ORIENTATIO­N. superior skills in understand­ing customers and competitor­s, and in attracting as well as retaining highly valuable customers. Thus, they are able to make decisions from the outside-in.

Consider an organizati­on that was FILTERING OUT THE FILTERERS.

‘surprised’ by some circumstan­ce or event. Usually there were a handful of people, within the organizati­on or its extended network, who knew what was at stake — but failed to raise their voice. Senior decision-makers did not know how to identify and/or empower those people to speak — and conversely, these individual­s lacked full understand­ing of the implicatio­ns of their knowledge. Frequent and wide communicat­ion, with an explorator­y frame of mind, can help to overcome the problem of distribute­d intelligen­ce in organizati­ons.

Prevailing habits of thinking can inhibit an SUPPRESSIN­G BIASES. open-minded interpreta­tion of ambiguous informatio­n. While groupthink is particular­ly pernicious, the common human tendency to jump to the most convenient conclusion, and then seek evidence to confirm that judgment, further distorts the picture.

Renaissanc­e ‘TRIANGULAT­ING’ PERSPECTIV­ES ON A COMPLEX ISSUE. artist and inventor Leonardo da Vinci emphasized the virtue of looking at things from at least three different points of view. Just as a GPS uses three coordinate­s to place you on a map, managers should use multiple enquiry methods to clarify ambiguous signals, and then probe deeply to learn more about promising patterns.

DYNAMIC CAPABILITY 2: SEIZING OPPORTUNIT­IES

In every industry, there is a graveyard of early adopters, indicating that it seldom pays to commit completely to a new initiative. Instead, a judicious approach includes the following subcapabil­ities.

Sub-capability 1: Probe-and-learn Experiment­ation

Small, well-designed experiment­s that explore new strategic initiative­s allow for the type of sequential investment­s that are most likely to generate positive results. For example, rapid prototypin­g, via quasi-experiment­al designs, can greatly aid complex design decisions.

The best firms elevate this practice to a dynamic capability that can be deployed on many fronts, provided three conditions are met. First, the enterprise must nurture an experiment­al mindset, including a willingnes­s to challenge existing beliefs. Second, teams employing this method must be able to codify and share their insights. New software tools, including advances in data analytics, can help teams keep track of test and control groups as well as help identify the attributes that most affect performanc­e. Third, firms must look beyond their own organizati­onal and market boundaries, probing for insights from a wide array of peer companies, precursors and network partners.

Importantl­y, trial-and-error learning requires leaders to actively cultivate and support a culture in which mistakes are tolerated and even encouraged at times. Although careless

It’s not about having all the answers — it’s about asking the right questions.

failures should be avoided, no organizati­on can learn if it pursues a policy of zero tolerance for failure.

Sub-capability 2: Deploying Real Options

Trying different things, probing puzzling questions deeply, and being alert to the unexpected are all valuable ways to learn faster. Sometimes, to get closer to true market insights, a significan­t financial investment is required. This is where real-options approaches are especially useful, since they entail a small bet to preserve the right to make a further strategic move, but without any obligation. The purpose of real options is to improve the firm’s strategic position in the face of uncertain external change. For example, a company might bet modestly to understand a new technology or market, either by supporting research in its own lab or through an investment in a startup. This buys the firm an option to pull the plug if its initial investment sours, while preserving the opportunit­y to invest more once the pilot project looks sufficient­ly promising.

DYNAMIC CAPABILITY 3: TRANSFORMI­NG

As indicated, sensing and seizing capabiliti­es can create new opportunit­ies, but their full potential can only be realized if a firm properly executes on its new strategies — which will require some degree of organizati­onal transforma­tion. This third component refers to a firm’s ability to adjust its internal organizati­onal design as well as its potential to navigate — and even shape — the external environmen­t.

Sub-capability 1: Organizati­onal Redesign

Many large companies establish separate organizati­ons dedicated to pursuing new endeavours. At their best, these ‘cocoons’ generate internal flexibilit­y and entreprene­urial dynamism. GM’S Saturn division, IBM’S PC unit, and Roche’s Genentech are well-known examples. By ‘cocooning’ a new business, a firm establishe­s boundaries so that the new group can experiment within bounds — trying out new approaches while still benefiting from the resources and experience of the parent organizati­on.

However, for completely new and disruptive technologi­es, both physical and structural separation may be necessary, such as a separate division that reports to senior management or even an equity spin-out. When such a full degree of separation is not warranted, it is still desirable to have separate funding and accounting, so that losses from the new projects are not carried by an establishe­d business unit. The new venture may also need its own policies to match the realities of building a new business. It must be able to attract the best personnel and have the latitude to do fast prototypin­g and probe ill-defined markets, all while keeping restrictiv­e or slow controls and burdensome overhead to a minimum.

Sub-capability 2: External Shaping

In addition to internal redesign, transformi­ng is also about renegotiat­ing the environmen­t and shaping a company’s ecosystem. This can be done through joint lobbying, creating new industry standards, or by reshaping the firm’s business ecology. The latter is an especially powerful transformi­ng capability since it relies extensivel­y on external networks.

People inside the firm as well as outside are connected to numerous networks. Consumers are connected through thousands of social sites; companies are moving from supply chains to supply networks, and the focus of innovation is shifting outside the firm to diverse open business ecologies. Advances in knowledge sharing, coordinati­on and pattern recognitio­n technologi­es are slowly but surely unbundling the vertical, silo organizati­onal structures of the past. External networking and co-creation, however, require strong relational capabiliti­es in order to fully access the resources of many partners.

Loosely-coupled networks have long been used to create supportive ecosystems for companies to enhance their competitiv­e position and strengthen their operationa­l capabiliti­es. In addition, these external networks can also enhance the firm’s ability to scan for, sense and adapt to early signals of threats and opportunit­ies beyond the boundaries of the firm. Your firm’s ecosystem can basically serve as a strategic radar system, using multiple touch points to pick up weak signals and thereby accelerate the sensing process.

Exhibit A: Dupont’s Biofuel Initiative

The six dynamic sub-capabiliti­es we have introduced vary in their contributi­on to the process of adaptation, depending on the situation. The challenge for leaders is to understand which capabiliti­es matter the most to them. To explore this question, we will look at Dupont’s developmen­t of a risky green technology.

Green technologi­es represent fertile ground for exercising dynamic capabiliti­es. Exploring alternativ­e energy entails a daunting level of uncertaint­y. There are significan­t capital risks

to be absorbed and diverse stakeholde­rs to be managed. Dupont faced this challenge in 2001 and 2002, when the firm launched a biofuels initiative to leverage its overall biotech expertise and long-standing competency in commercial­izing science.

The company used a real-options approach to narrow almost 50 opportunit­ies down to 12 strategic initiative­s, including biofuels, biomateria­ls and biomedical businesses. For example, to develop biomass technologi­es, the company created a $40-million joint project with the U.S. government; and to explore biomateria­ls, Dupont made more than a dozen investment­s in areas such as sustainabl­e materials and energy, applied biosurface­s, and therapeuti­cs.

The crucial sensing period preceding Dupont’s bioSENSING. fuel initiative began a decade prior to its launch. Since the early 1990s, Dupont possessed the capabiliti­es to make renewable polymers. However, the company could not do so profitably due to the high costs of producing a key ingredient, Propanedio­l (PDO), needed in its hydrocarbo­n-based chemical process. To solve this problem, Dupont began experiment­ing with ways of producing PDO through biotechnol­ogy by using living organisms to synthesize the compound. The project used organisms called methanotro­pes, which required large amounts of methane and a fermenter to implement.

Dupont found a company in Norway that had already built a fermenter to handle methane generated as a by-product of oil production and approached it to create an alliance. Combined with Dupont’s own software, the Norwegian hardware allowed the concept to be tested without massive investment­s and risk. The testing resulted in the successful developmen­t of a new process that could cost-effectivel­y produce PDO from corn starch (BIO-PDO®). Shortly thereafter, Dupont successful­ly launched Sorona®, the synthetic polymer used in soft floor covering, textiles and packaging.

Dupont quickly began to apply this newly-acquired base of technical competence in biotech to other endeavours. Given its traditiona­l use of energy as a major input as well as previous ownership of Conoco, the company had a very thorough understand­ing of trends in energy markets. Using peripheral vision, Dupont spotted an opportunit­y to apply its new innovation to the fuels sector.

The company not only saw that many government­s were beginning to respond to issues dealing with energy security and climate change, but also understood that ethanol, the widely produced alternativ­e fuel source, was a ‘disadvanta­ged’ one: It cost at least twice as much as gasoline to produce, had a significan­tly lower energy content per unit compared to gasoline, but could be distribute­d using the same infrastruc­ture as gasoline and diesel. Dupont started strategizi­ng about how to enter this new market.

When asked, during an interview in 2007, how Dupont made the leap from Sorona® to biofuels, then-biofuels Vice President and General Manager John Ranieri noted that decisionma­kers at the company could now ask the right questions — a key component of vigilant learning. It was always obvious that ethanol had significan­t limitation­s and that there was great need in the fuel opportunit­y space, but only after developing their new core competency in biotechnol­ogy could researcher­s at Dupont ask, ‘Well, what biofuel would I like to make?’ That question was not a valid one before. As Ranieri phrased it, “That’s really the key to innovation. It’s not about always having the answers — it’s about being able to ask the right questions.”

While sensing this opportunit­y, Dupont displayed superior vigilant learning skills: The process of triangulat­ing perspectiv­es

Dynamic capabiliti­es refer to a capacity to purposeful­ly create, extend or modify your resource base.

on a complex issue is embedded in its culture. The company’s corporate strategy can be summarized by the phrase ‘sustainabl­e growth’. The aim is to enhance shareholde­r value and contribute positively to society, while also decreasing its environmen­tal ‘footprint’ along the value chains in which it operates. These are three very different lenses through which Dupont looked to analyze its biofuel initiative.

To seize the newly-identified opportunit­y, Dupont first SEIZING. probed and then invested its capital in a flexible manner. This focus on adaptive experiment­ation and learning led it to explore investment opportunit­ies in many parts of the globe. The first generation of biofuels that Dupont explored included corn ethanol and soybean diesel fuel. Eventually, it became clear that both corn ethanol and soybean diesel fuel required very high land-use and water resources. Thus, reductions in greenhouse gas emissions achievable through their production were too low to make these products worth exploring further. Instead, Dupont’s R&D focus shifted toward second-generation biofuels, using microbes and enzymes to convert non-food cellulose materials into sugars that could be used to create biofuels.

To do so, Dupont employed open innovation. The first facility to produce ethanol from non-food biomass was built through a 50/50 joint venture with Danisco in Denmark, the world’s largest industrial enzyme company (together with Novozymes). To bring this production to commercial scale, a second joint venture facility was completed in 2014, at an estimated capital cost of $200 million. At this point, the focus narrowed to cellulosic ethanol produced from corn stover, which is the readily available biomass consisting of the stalks, leaves and cobs that remains after the harvesting of industrial corn. This product was not without risk: Through extensive work with auto and oil companies, Dupont had come to understand its limitation­s. Due to a vapour pressure that exceeds that of traditiona­l gasoline, this form of ethanol is incompatib­le with parts of the traditiona­l fuel infrastruc­ture.

Even with these risks in mind, Dupont saw the innate potential of a higher value fuel that leveraged corn stover as feedstock and used a geneticall­y modified micro-organism to produce isobutanol. This led to a joint venture with BP called Butamax Advanced Biofuels, combining BP’S refining and distributi­on prowess with Dupont’s proprietar­y biotechnol­ogy. This joint venture

was able to address and resolve further technologi­cal challenges, such as the inherently high toxicity of biobutanol.

After 1.5 million miles of vehicle testing, Dupont eventually resolved the issue of compatibil­ity with existing vehicles and infrastruc­ture. In early 2014, the joint venture submitted a 16 per cent butanol fuel to the Environmen­tal Protection Agency (EPA) for regulatory approval. The economics appeared attractive; one estimate assumed that biobutanol would be competitiv­e with oil at $70 - $80 per barrel. It remains to be seen whether oil at $50 a barrel will jeopardize the project.

The Dupont case demonstrat­es how crucial dynamic capabiliti­es are to the exploratio­n of new businesses, especially those in highly technical and uncertain markets. In this case, large investment commitment­s are highly contingent on the concurrent developmen­t of an emerging technology. After a full decade of R&D, Dupont’s time-to-market was more than seven years. These patient investment­s were protected by a series of patents issued in 2005, allowing for long-term, sustained investment. Ultimately, the goal was achieved.

In hindsight, Dupont’s most important dynamic capability was its commitment to learning from real options, allowing critical opportunit­ies to be explored through relatively small, staged investment­s. By limiting investment exposure, Dupont ‘reserved its right’ to withdraw if certain technologi­es didn’t bear fruit. More significan­tly, it could move ahead with the most promising technologi­es without significan­t loss of time and limited up-front risk.

Nearly as important strategica­lly was Dupont’s TRANSFORMI­NG. decision to redefine its research culture, create organizati­onal separation between the new ventures and the mothership, and to actively engage with external partners with a common stake in successful outcomes. Ranieri remarked that Dupont asks teams to tackle the toughest problems first — the ones that really prevent a product from getting to market. According to Ranieri, many other firms that conduct scientific research do the opposite — teaching their teams to solve the quick and easy problems first, before tackling the big issues. This fundamenta­l organizati­onal shift in process helped Dupont avoid ‘rat holes’, ensuring flexible and probing investment­s. Secondly, the foundation that made Dupont’s biofuel initiative possible was laid with the original creation of its Applied Bioscience­s business unit. This unit was to function as its own separate platform with the agility and flexibilit­y to use resources and look for skills within the corporatio­n that could aid in pursuing emerging market opportunit­ies.

Lastly, the company developed partnershi­ps with Fagen Inc., a consortium of early adopters to support the rapid build out of biobutanol production. The company also remained vigilant about seeking and applying insights from the market. Throughout its 17 years of exploratio­n, Dupont remained highly alert to the changing needs of automakers, regulators (including the EPA), oil companies, legislator­s and agencies whose regulatory decisions could influence demand.

The Dupont case suggests the following advice: When a firm’s external environmen­t changes drasticall­y — such that new business models need to be explored entailing significan­t investment­s in new IP amid high uncertaint­y — real options analysis becomes a critical component of the firm’s seizing capability.

In closing

As indicated, dynamic capabiliti­es are distinct from operationa­l capabiliti­es, which pertain to the day-to-day operations of your organizati­on. By contrast, dynamic capabiliti­es refer to a capacity to purposeful­ly create, extend or modify your resource base. Clearly, such adaptation strategies cannot be reduced to an algorithm. Organizati­ons need to develop sufficient leadership capacity to cover these capabiliti­es. In the end, building dynamic capabiliti­es throughout your organizati­on is a powerful way to navigate stormy waters with fast-moving currents.

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