суббота, 16 апреля 2016 г.

BCG Classics Revisited: The Growth Share Matrix



by Martin ReevesSandy Moose, and Thijs Venema


The Boston Consulting Group’s Strategy Institute is taking a fresh look at some of BCG’s classic thinking on strategy to explore its relevance to today’s business environment. This article, the fourth in the series, examines the growth share matrix, a portfolio management tool developed by BCG founder Bruce Henderson.

  • The growth share matrixwas put forth by Bruce Henderson as a tool for helping companies allocate resources based on the attractiveness of their market and their own level of competitiveness.

  • Since the introduction of the matrix, the business environment has become more dynamic and unpredictable, and market share has become less of a driver of and surrogate for advantage.


  • The matrix remains highly relevant today as a way of allowing companies to manage strategic experimentation.

“We are managing our businesses with a laser-like focus on return on capital … rigorously testing our portfolio to identify which businesses to grow, run for cash, fix or sell.”
—The Dow Chemical Company, 
Annual Report 2012
More than 40 years after Bruce Henderson proposed BCG’s growth-share matrix, the concept is very much alive. Companies continue to need a method to manage their portfolio of products, R&D investments, and business units in a disciplined and systematic way. Harvard Business Review recently named it one of the frameworks that changed the world. The matrix is central in business school teaching on strategy.
At the same time, the world has changed in ways that have a fundamental impact on the original intent of the matrix: since 1970, when it was introduced, conglomerates have become less prevalent, change has accelerated, and competitive advantage has become less durable. Given all that, is the BCG growth-share matrix still relevant? Yes, but with some important enhancements.
The Original Matrix
“A company should have a portfolio of products with different growth rates and different market shares. The portfolio composition is a function of the balance between cash flows.… Margins and cash generated are a function of market share.”
—Bruce Henderson, 
“The Product Portfolio,” 1970
At the height of its success, in the late 1970s and early 1980s, the growth share matrix (or approaches based on it) was used by about half of all Fortune 500 companies, according to estimates.
The matrix helped companies decide which markets and business units to invest in on the basis of two factors—company competitiveness and market attractiveness—with the underlying drivers for these factors being relative market share and growth rate, respectively. The logic was that market leadership, expressed through high relative share, resulted in sustainably superior returns. In the long run, the market leader obtained a self-reinforcing cost advantage through scale and experience that competitors found difficult to replicate. High growth rates signaled the markets in which leadership could be most easily built.
Putting these drivers in a matrix revealed four quadrants, each with a specific strategic imperative. Low-growth, high-share “cash cows” should be milked for cash to reinvest in high-growth, high-share “stars” with high future potential. High-growth, low-share “question marks” should be invested in or discarded, depending on their chances of becoming stars. Low-share, low-growth “pets” are essentially worthless and should be liquidated, divested, or repositioned given that their current positioning is unlikely to ever generate cash. 
The utility of the matrix in practice was twofold:
  • The matrix provided conglomerates and diversified industrial companies with a logic to redeploy cash from cash cows to business units with higher growth potential. This came at a time when units often kept and reinvested their own cash—which in some cases had the effect of continuously decreasing returns on investment. Conglomerates that allocated cash smartly gained an advantage.
  • It also provided companies with a simple but powerful tool for maximizing the competitiveness, value, and sustainability of their business by allowing them to strike the right balance between the exploitation of mature businesses and the exploration of new businesses to secure future growth.
The BCG Matrix in a Changing World
The world has changed. Conglomerates have become far less prevalent since their heyday in the 1970s. More importantly, the business environment has changed.
First, companies face circumstances that change more rapidly and unpredictably than ever before because of technological advances and other factors. As a result, companies need to constantly renew their advantage, increasing the speed at which they shift resources among products and business units. Second, market share is no longer a direct predictor of sustained performance. (See Exhibit 1.) In addition to share, we now see new drivers of competitive advantage, such as the ability to adapt to changing circumstances or to shape them.

So, what do these two shifts mean for the original portfolio concept? We might expect that these developments translate into changes in the distribution of businesses across the matrix. As change accelerates, we may see that businesses move around the matrix quadrants more quickly. Similarly, as the disruption of mature businesses increases with change and unpredictability, we may see proportionately lower numbers of cash cows because their longevity is likely in many cases to be curtailed.
To test these hypotheses, we looked closely at the effect of these changes in the U.S. economy, by treating individual companies as analogues for individual business units in a conglomerate’s portfolio. In our analysis, we assigned every publicly listed U.S. company to a portfolio quadrant, on the basis of its growth rate and market share.
The results robustly support the hypotheses.
First, companies indeed circulated through the matrix quadrants faster in the five-year period from 2008 through 2012 than in the five-year period from 1988 through 1992. This was true in 75 percent of industries, reflecting the higher rate of change in business overall. In those industries, the average time spent in a quadrant halved: from four years in 1992 to less than two years in 2012. To further test this hypothesis, we also studied ten of the largest U.S. conglomerates and discovered that the average time any business unit spent in a quadrant was less than two years in 2012. Only a few, relatively stable industries, such as food retail and health-care equipment, saw fewer disruptions and hence did not show faster circulation.
Second, our analysis showed the breakdown of the relationship between relative market share and sustained competitiveness. Cash generation is less tied to mature businesses with high market share: in our analysis of public companies, the share of total profits captured by cash cows in 2012 was 25 percent lower than it was in 1982. (See Exhibit 2.) At the same time, the duration of that later part of the life cycle declined as well, on average by 55 percent in those industries that witnessed faster matrix circulation.
exhibit

The Continued Relevance of the BCG Matrix
“We keep speed in mind with each new product we release…. And we continue to work on making it all go even faster…. We’re always looking for new places where we can make a difference.”
—Google’s company-philosophy statement
Given the rapid pace and unpredictable nature of change in today’s marketplace, the question arises: Has the matrix lost its value?
No, on the contrary. However, its significance has changed: it needs to be applied with greater speed and with more of a focus on strategic experimentation to allow adaptation to an increasingly unpredictable business environment. The matrix also requires a new measure of competitiveness to replace its horizontal axis now that market share is no longer a strong predictor of performance. Finally, the matrix needs to be embedded more deeply into organization behavior to facilitate its use for strategic experimentation.
Successful companies nowadays need to explore new products, markets, and business models more frequently to continuously renew their advantage through disciplined experimentation. They also need to do so more systematically to avoid wasting resources, a function the matrix has successfully fulfilled for decades. This new experimental approach requires companies to invest in more question marks, experiment with them in a quicker and more economical way than competitors, and systematically select promising ones to grow into stars. At the same time, companies need to be prepared to respond to changes in the marketplace, cashing out stars and retiring cows more quickly and maximizing the information value of pets.
Google is a prime example of such an experimental approach to portfolio management, as expressed in its mission statement: “Through innovation and iteration, we aim to take things that work well and improve upon them in unexpected ways.” Its portfolio is a balanced mixture of relatively mature businesses such as AdWords and AdSense, rapidly growing products such as Android, and more nascent ones such as Glass and the driverless car.
But at Google, portfolio management is not just a high-level analytical exercise. It is embedded in organizational capabilities that facilitate strategic experimentation. Google’s well-known exploratory culture ensures that a large number of ideas get generated. From these question marks, a few are selected, on the basis of rigorous and deep analytics. Subsequently, they are tried out on a restricted basis, before being scaled up.
Gmail and Glass, for instance, were launched among a select group of enthusiasts. Such early testing not only keeps costs per question mark down but also helps the company reduce the risk of new-product launches. After launch, Google leverages deep analytics to continuously monitor portfolio health and move products around the matrix. As a result, it is able to launch and divest approximately 10 to 15 projects every year.
BCG Matrix 2.0 in Practice
To get the most out of the matrix for successful experimentation in the modern business environment, companies need to focus on four practical imperatives:
Accelerate. It is critical to evaluate the portfolio frequently. Businesses should increase their strategic clock-speed to match that of the environment, with shorter planning cycles and feedback loops requiring simplified approval processes for investment and divestment decisions.
Balance exploration and exploitation. This requires having an adequate number of question marks while simultaneously maximizing the benefits of both cows and pets:
  • Increase the number of question marks. This requires a culture that encourages risk taking, tolerates failure, and allows challenges to the status quo.
  • Test question marks quickly and economically. Successful experimenters achieve this by using rapid (for example, virtual) tests that limit the cost of failure.
  • Milk cows efficiently. Successful companies do not neglect the need to exploit existing sources of advantage. They milk low-growth businesses by improving profitability through incremental innovation and streamlining of operations.
  • Keep pets on a short leash. With experimentation comes failure: our analysis found that the number of pets increased by almost 50 percent in 30 years. Although Bruce Henderson asserted that pets were worthless, today’s successful companies capture failure signals from pets to inform future decisions on where and how to experiment. Additionally, they attempt to lower exit barriers and move quickly to squeeze out remaining value before divestment.
Select rigorously. Companies must carefully select investments as well as divestments. Successful companies leverage a wide range of data sources and develop predictive analytics to determine which question marks should be scaled up through increased investment and which pets and cows to divest proactively.
Measure and manage portfolio economics of experimentation. Understanding the experimentation level required to maintain growth is important for long-term sustainability:
  • Manage the rate of experimentation. Successful companies continually measure and manage the number and costs of the question marks they generate to ensure their pipeline stays filled.
  • Drive new product and business success. Companies need to ensure that the probability that question marks become stars is high enough—and that the cost of failure for these question marks is acceptable—in order to sustain growth from new products.
  • Maintain a portfolio balance. Successful companies look for today’s stars (and question marks) to ultimately generate at least enough profitability to replace cows (and pets) that are later in their life cycle so that the company portfolio generates sufficient profitability in the long run.



Increasing change certainly requires companies to adjust how they apply the matrix. But it does not undercut the power of the original concept. What Bruce Henderson wrote years ago still holds today, perhaps even more so than ever: “The need for a portfolio of businesses becomes obvious. Every company needs products in which to invest cash. Every company needs products that generate cash. And every product should eventually be a cash generator; otherwise it is worthless. Only a diversified company with a balanced portfolio can use its strengths to truly capitalize on its growth opportunities.”

BCG Classics Revisited: Time-Based Competition

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by Rich LesserMartin Reeves, and Kaelin Goulet


To mark The Boston Consulting Group’s fiftieth anniversary, BCG’s Strategy Institute is taking a fresh look at some of BCG’s classic thinking on strategy and exploring its relevance to today’s business environment. This third in a planned series of articles examines time-based competition, a concept introduced by BCG in a series of Perspectives in 1987 and 1988.


  • Companies now need to act at the “speed of data.” And with speed and data come learning and business model innovation.
  • Today’s need not only for speed but also for adaptiveness should spur managers to shift their mindset about the imperatives necessary to survive and succeed in a TBC 2.0 world.
Nearly 25 years after the book’s publication in 1990, Apple CEO Tim Cook is known to give his colleagues copies of Competing Against Time: How Time-Based Competition Is Reshaping Global Markets, the seminal work by BCG’s George Stalk and Tom Hout. Why does the leader of one of the world’s most innovative companies consider it a still-worthwhile read?
Traditionally, businesses strove to produce high-quality goods at the lowest possible cost. But Stalk and Hout taught the business world that the added element of speed was ultimately the key to competitive advantage. Stalk had observed Japanese companies that were not scale leaders in their industries reaping advantage by shortening their product-development cycles and factory-process times—essentially managing time the way that most businesses managed costs, quality, and inventory. This “flexible manufacturing” approach also reduced variety-related costs at the companies. Consequently, despite their smaller size and volumes, these companies could produce fewer goods but with greater diversity and quality than their competitors—and do so at lower cost. (See Exhibit 1.)

The acceleration of cycle times not only allowed companies to remove waste from the process, it also provided a host of competitive benefits. By responding more quickly, companies enhanced their productivity and also gained favor with customers, thereby achieving higher market share. By embracing the principles of time-based competition (TBC), the businesses also reduced complexity and rework and increased transparency, allowing them to break the assumed tradeoff between cost and quality.
TBC’s impact on business thinking ultimately proved enormous, with companies across sectors embracing it and its popular derivative, process reengineering, to streamline and accelerate their operations. Sun Microsystems (acquired by Oracle in 2010) achieved market dominance by halving the time required to design and introduce engineering workstations. Honda gained ground by introducing 113 new models in the time it took its close competitor Yamaha to create 37. Jack Welch announced that GE’s core principles would be “speed, simplicity, and self-confidence.”
Zoom forward to today, when the pace of change seems faster than ever: technologies are evolving increasingly quickly, economic power is shifting to emerging markets, and many business models are becoming obsolete. As a result, an unprecedented number of long-standing incumbent companies seem to be questioning how they do business.
Companies are attempting to meet the demands of this time-compressed reality in both new and traditional ways. They are exploiting 3D printing, for example, to reduce the time it takes to produce prototypes; deploying automated factories to shrink change-over times; enabling greater customization and closer proximity to customers; and leveraging big data and analytics to make it easier to identify and act on opportunities.
Common to all of these efforts is the recognition of the growing primacy of speed. Words like “agility” are increasingly on the lips of CEOs. Says Jeremy Stoppelman, CEO of Yelp, “You have to be very nimble and very open-minded. Your success is going to be very dependent on how you adapt.” It’s a view that extends well beyond the big-tech arena. As Mitchell Modell, CEO of Modell’s Sporting Goods, observes, “The big never eat the small—the fast eat the slow.”
So, are we headed back to the future? Is Tim Cook right? Is it time to dust off the BCG classic and re-reengineer our core processes? The answer to all three questions is yes—but with several important qualifiers.
Without a doubt, the pace of change is now faster than ever. Many businesses have evolved into essentially information businesses, and many more are critically dependent upon increasingly complex signals and information.
Companies now, therefore, need to act at the “speed of data.” This is a tough quantitative challenge, requiring new technologies and techniques to bridge gaps between the intrinsic speed and flexibility of data on one hand, and people, organizations, and physical assets on the other. It is also a qualitative challenge, requiring many companies to rethink their business model.
UPS, a package delivery firm, may not seem like a digital company. But living up to its “Moving at the Speed of Business” tagline requires sophisticated and dynamic integration, analysis, and aggressive data management. UPS’s front-line employees use data to meet performance objectives. Truck drivers, for example, use route-optimization algorithms to decide whether to save a mile of driving or to deliver a package 15 minutes early. To avoid overwhelming employees, the company refines the display of information; to make workers more comfortable with on-the-job analytics, it utilizes familiar platforms, such as smartphones. UPS also prioritizes continuous improvement to become faster still: it is building real-time, adaptive analytics into the next version of its logistics software, for instance.
Whereas TBC was about doing a predictable set of activities faster, companies now also need to be able to learn how to do new things faster and more effectively. Agility is insufficient—companies now also need to be adaptive. In today’s era of accelerated change, new products, technologies, and business models can arise before companies have had a chance to fully optimize existing ones. Exhibit 2 shows how telephone technology illustrates this phenomenon at work.

Alibaba, China’s dominant retailer, exemplifies “TBC 2.0” and its virtuous cycle of data, speed, learning, innovation, and growth. Every day, Alibaba’s three server centers process more than a petabyte of data—the equivalent of three times the storage space needed for all the DNA information of the U.S. population. With that data firepower, Alibaba is driving an economic transformation in Chinese retailing, delivering more products faster and to more people via more, new, and different business models.
And with speed and data come learning and business model innovation. Via AliPay, Alibaba’s customers can now pay for online purchases and invest their savings, and businesses can obtain loans. Companies and governments can store data on Alibaba’s cloud-computing services; and other retailers, such as Haier and Nike, can set up online store fronts through Tmall.com, Alibaba’s business-to-consumer platform. Alibaba is using speed, information, and innovation to tap the burgeoning power of Chinese consumption by creating a single, truly nationwide market.
Today’s need not only for speed but also for adaptiveness should spur managers to shift their mindset about the imperatives necessary to survive and succeed in a TBC 2.0 world. For an increasing number of businesses, these imperatives include the following:
  • Reconceiving your business as an information business 
  • Ensuring that your organization can respond at the speed of data 
  • Recognizing that the basis for competitive advantage has shifted from scale, position, and speed to adaptiveness 
  • Cultivating and measuring rapid learning 
  • Balancing the exploitation of existing opportunities and business models with the exploration of new ones 
  • Breaking free from yesterday’s successful business model 
Time-based competition is more relevant than ever. Companies must now not only run faster but also adapt to keep up.

BCG Classics Revisited: The Experience Curve

Article image

by Martin ReevesGeorge Stalk, and Filippo L. Scognamiglio Pasini


To mark The Boston Consulting Group’s fiftieth anniversary, BCG’s Strategy Institute is taking a fresh look at some of BCG’s classic thinking on strategy to explore its relevance to today’s business environment. This second in a planned series of articles examines the experience curve, an idea developed by BCG in the mid-1960s about the relationship between production experience and cost.

  • The experience curve theory, centered on the relationship between production experience and costs, proved a valuable predictor of competitive dynamics through the 1970s.
  • The theory remains valid today, especially in industries that are relatively stable, cost-sensitive, competitive, and production-intensive.

  • Many companies today, however, need to develop an additional type of experience—experience inshaping demand—to build and sustain competitive advantage.

The experience curve is one of BCG’s signature concepts and arguably one of its best known. The theory, which had its genesis in a cost analysis that BCG performed for a major semiconductor manufacturer in 1966, held that a company’s unit production costs would fall by a predictable amount—typically 20 to 30 percent in real terms—for each doubling of “experience,” or accumulated production volume. The implications of this relationship for business, argued BCG’s founder, Bruce Henderson, were significant.  In particular, he said, it suggested that market share leadership could confer a decisive competitive edge, because a company with dominant share could more rapidly accumulate valuable experience and thus achieve a self-perpetuating cost advantage over its rivals.
The experience curve theory proved a valuable descriptor and predictor of competitive dynamics across much of the business landscape through the 1970s, providing a sound guide for investment and pricing decisions and an invaluable tool for strategists. Is the idea applicable to today’s environment? Yes, but in some industries it is no longer sufficient by itself as a blueprint for competitive advantage. In contrast to the 1960s and 1970s, when the general business environment was relatively stable and new-product introduction relatively infrequent, today’s business climate is characterized by higher volatility, less stable industry structures, and frequent product launches in response to rapidly changing technologies and tastes.
Experience of the type addressed by the experience curve is still necessary—often critically so, depending on the industry. But we argue that most companies today need an additional kind of experience if they hope to create and sustain competitive advantage.
Two Types of Experience
The type of experience that the classic experience curve refers to—the ability to produce existing products more cheaply and deliver them to an ever-wider audience—can be considered experience in fulfilling demand. This type of experience remains very important in many industries, especially those that are relatively stable, cost-sensitive, competitive, and production-intensive.
Hard-disk drives, for example, showed a cost decline of about 50 percent for each doubling of accumulated production from 1980 through 2002, bringing the average cost per gigabyte from $80,000 in 1984 to $6 in 2001. Laser diodes showed a similarly steep cost decline of 40–45 percent with each doubling of volume, with prices decreasing from the roughly $30,000 of fiber amplifiers in the early 1980s to $1.30 for 0.8-micrometer CD lasers (unpackaged) in 1999. But to win in today’s environment, many companies also need experience in shaping demand, or creating demand for new products and services.
Exhibit 1 is a visual representation of the two types. Experience in fulfilling demand is represented as the classic experience curve: it shows a reduction in costs as a function of cumulative volume (which is a straight line in a log-log scale). Experience in shaping demand is represented as repeated “jumps” across successive experience curves, representing a company’s ability to move from product generation to product generation repeatedly and successfully. The relationship between the two types of experience might also be visualized as an endless version of the popular board game Snakes and Ladders. To maintain competitive advantage, companies have to both “slide down snakes” (that is, fulfill demand) and “climb ladders” (that is, shape demand). The relative emphasis on each depends on a company’s particular circumstances.

The two types of experience are inherently different, as is the way they are accumulated and the benefits they confer. Experience at fulfilling demand is acquired through a logical deductive process: capture your cost data, analyze them, determine opportunities for improvement, implement changes, iterate. The main features of the learning process are repetition and incremental improvement, both explicit and implicit. Experience at shaping demand, in contrast, is acquired through an inductive process: sample consumer behaviors, formulate a hypothesis on unmet needs or imagine the possibilities permitted by new technologies, test the hypothesis with a new offering, shut down the test or expand it based on empirical results, formulate new hypotheses based on the latest empirical results, repeat.
It should be noted that neither experience type, by itself, has ever been sufficient for long-term competitive advantage. Both have always been necessary. What has changed recently is that the required speed of cycling between the two has increased dramatically. We refer to this ability to develop and leverage both existing and new product knowledge concurrently, or to switch between them effectively over time, as ambidexterity.
Experience in Shaping Demand in Practice
Experience in shaping demand—which can be gauged by a company’s product-introduction “clock speed” or by the percentage of sales derived from new products or services—can be a powerful competitive weapon, particularly when paired effectively with experience in fulfilling demand. It can be seen as a second-order type of experience, one that comes from sharing experience across different areas and learning how to learn new things. It includes the ability to “forget” lessons from the past when such information has become obsolete and is no longer relevant to the latest product generation. This type of experience can be disruptive not only because it involves innovation but also because being at a disadvantage on an earlier product generation can quickly be overturned by shaping demand to get a head start on the next experience curve.
We can illustrate the power of demand-shaping experience, and how the past and present of the experience curve interweave, by taking a contemporary look at the industry that gave birth to the experience curve.
ARM Holdings is a leading semiconductor player, with particular strength in the design of low-power microprocessors. The company itself is not a manufacturer; rather, it designs the underlying technologies and leaves manufacture to its partners. By focusing on shaping demand through its innovative designs and leveraging its partners’ expertise in fulfilling demand, thus avoiding the need to develop such experience itself, ARM has created a compelling recipe for success. Devices based on ARM’s technology now account for 95 percent of the fast-growing smartphone market. ARM also boasted an impressive annualized total shareholder return (TSR) of 28 percent for the seven years through 2011. ARM’s partners, too, have benefited from this approach, as evidenced by their strong product shipments and TSR: Qualcomm’s annualized TSR for the same period was 5 percent, for example, also above the industry median of –6 percent for the same period.
Facebook successfully shaped demand for its services by continually improving users’ experience and doing so faster than rival Myspace. (See Exhibit 2.) To build demand-shaping experience, Facebook released new software weekly and experimented with new technologies and features such as live chat, photo albums, and a third-party app-developer interface. These efforts allowed Facebook to gain a more thorough understanding of users’ needs and desires and respond to them with accelerated new-product generation, translating into a swelling userbase and eventually also an improved cost position.

Netflix twice radically shaped demand by improving the convenience of a service. Its promise of convenient and inexpensive DVDs by mail (with no late fees or hassles with pickup and drop-off) successfully shaped the demand for home video. Netflix succeeded again when it introduced streaming (which added the benefits of assured and instant availability), even though the offering was obviously going to cannibalize the company’s DVD-by-mail business. Netflix realized that the DVD-by-mail offering was vulnerable to streaming technology, regardless of which company launched the service first. The company’s early move to shape demand forced its major competitors to react to the initial consumer expectations that Netflix had set, giving Netflix a substantial advantage.
These companies’ focus on excellence in both shaping and fulfilling demand allowed them to thrive, often overtaking their established competitors. This is a phenomenon that the traditional experience curve cannot explain.
Sustaining Competitive Advantage Both Within and Across Product Generations
Solidifying your long-term competitive advantage in today’s environment requires asking yourself a series of questions about excellence in both shaping and fulfilling demand.
What balance of experience in fulfilling and shaping demand is required in our industry? In some industries, experience in fulfilling demand remains critical.  Other industries, usually younger ones, will benefit more from experience in shaping demand. Determine what your industry requires. Remember that, as illustrated by ARM Holdings, experience can be sourced externally under certain circumstances.
Do we have the right disciplines and capabilities to develop and leverage experience in fulfilling demand? Build scale and defend the market share of your established products. Learn through repetition and incremental improvement, both explicit and implicit, to further reduce costs.
Do we have the right disciplines and capabilities to develop and leverage experience in shaping demand? Unlink the development of new products and services from the production and management of existing ones. Empower individuals to experiment. Foster an appetite for risk with incentives that reward success; punish failure only if it arises from irresponsibility. Accelerate the product life cycle and plan the retirement of products as well as their launch. Create advantage by better understanding and shaping demand.
Do we have the right metrics in place for both types of experience? Ensure that you can gauge your prowess in building and leveraging both types of experience. Compare the results with those of your direct and indirect competitors. Examine your relative cost positions and demand-shaping clock speed and use them as your firm’s composite measure of success.
Do we have the right approach to balancing and combining experience types?Shaping demand and fulfilling demand are different in nature, and experience is acquired and leveraged through different, sometimes conflicting, means. In our above-referenced BCG Perspectives publication on ambidexterity, we presented four different approaches to striking an optimal balance: separation, switching, self-organizing, and external ecosystem. The right approach for your company will be determined by the dynamism and diversity of your specific industry environment.



As consumer tastes and product generations change ever more rapidly, experience in fulfilling demand alone is no longer sufficient to sustain a competitively advantaged position. An additional type of experience—experience in shaping demand—becomes necessary as well. This experience must be acquired through new and different means that can sometimes be in direct conflict with the current means your organization employs to acquire experience. But failure to do so can exact a significant toll, ranging from the loss of a leadership position to outright business failure.
The ability to skillfully build and leverage both types of experiences concurrently—ambidexterity—is the present-day hallmark of truly exceptional management. It is a rare attribute but a highly valuable one, one that can be developed if a company follows the right approach.

15 Tools To Help You Get More Done: Favorites Of Million-Dollar Entrepreneurs

15 Tools To Help You Get More Done: Favorites of Million-Dollar Entrepreneurs

If you run a one-person business, you know how hard it is to get everything done. To help you amp up your personal productivity, Elaine Pofeldt asked owners of million-dollar, one- and two-person businesses to share the tools they use to extend their reach. 

Gusto

Gusto


Formerly known as ZenPayroll, this is the site where Walton turned when he finally needed to hire his first employee. It offers services to help small employers set up payroll, pay contractors, obtain worker’s compensation and provide health benefits.
Trello

Trello


This site, with integrates with Slack. It is a productivity tool where you can keep track of projects. When you're running an ultra-lean business, the more organized you are, the more you can get done.
Photo: Website Screenshot


Mention.net


Mention.net


If you’re looking to raise the profile of your website, this app lets you track mentions of your website and organization across the Web.
Photo: Website Screenshot

Snacktools

Snacktools


This site offers free apps to design your website, offering everything from slideshow technology to flipbooks.
Photo: Website Screenshot

RingCentral

RingCentral


When customers call and the line is busy, RingCentral automatically places them in the hold queue.
Photo: Website Screenshot


Join.me

Join.me


It gives you the ability to show your business, meetings, etc. to anyone -- without travel. 
Photo: Website Screenshot


HelloBond

HelloBond


HelloBond lets you send letters, written with a fine fountain pen by a robot, to people on whom you want to make a good impression—such as high-profile prospects.
Photo: Website Screenshot

Evernote

Evernote


This site helps keep track of the many details in a business. It lets you take notes, gather articles you find online and create presentations quickly.
Photo: Website Screenshot


Slack

Slack


This free app makes it easy to communicate with whoever is on your team. You can IM quickly and remove the email clutter everyone has.
Photo: Website Screenshot

AudienceOwl

AudienceOwl


The site analyzes your email lists and Twitter followers to understand their demographics and identify whom to network with. If there are any influencers or people who seem interesting, you can say, "I saw you signed up on our list" and open a dialogue.
Photo: Website Screenshot

ShippingEasy

ShippingEasy


If you sell merchandise, this site simplifies the process of printing labels, processing orders and automating tracking. You can pre-program the size and weight of products for accurate labels, too.
Photo: Website Screenshot

Dashlane


Dashlane


This is one of many sites that help you keep track of your digital passwords. The app, which you can download on your phone or computer, is a browser extension for Safari, Chrome or Firefox. It retains user names, passwords and other information you want to keep safe, like credit card numbers. 
Photo: Website Screenshot
Timetrade


Timetrade


The online scheduling software helps you stay organized on calls. It can send confirmations to people that book a time, along with a reminder. Timetrade can also control your hours of availability.
Photo: Website Screenshot
Google Survey

Google Survey


This app enables you to get valuable feedback from your audience. 
Photo: Website Screenshot

Facebook Audience Insights


Facebook Audience Insights


Using this service requires a free Facebook business account, but it's a powerful tool to generate a detailed product demographic based off product-interest keywords.
Photo: Website Screenshot