Strategize Blue Blog

Archive for July, 2010

Blue Ocean Strategy & Innovation in the World Today: Smart Grid Development

Thursday, July 22nd, 2010

Innovation has often been seen as a random experimental process. Blue Ocean Strategy challenges traditional innovation theories and offers systematic methodologies for creating blue oceans of uncontested market space and highly profitable growth. Blue Ocean Strategy challenges traditional innovation beliefs that innovation is trial and error must be done by an entrepreneur and opportunities and risks come together. Blue Ocean Strategy in contrast, offers analytical tools and frameworks that help organizations minimize risks while maximizing opportunities to achieve profitable growth.

The increase in energy demands, as well as the rising costs to provide and manage energy over the years has led to smart grid development around the world.

But, the high costs associated with smart grid development infrastructure and the various different technical standards around the world have created a competitive marketspace for the industry. As players strive to out-do their competitors they may want to consider Blue Ocean Strategy.

What is a smart grid?

Smart grids are used and promoted by many governments as a way of creating energy independence – particularly issues such as global warning and emergency resilience issues. Smart grids delivers electricity from suppliers to consumers using two-way digital technology to control appliances at consumers’ homes to save energy, reduce cost and increase reliability and transparency. Smart grids have an information and metering system which overlays electricity distribution grids to control the amount of energy used.

What is Blue Ocean Strategy?

Blue Ocean Strategy, developed by INSEAD professors W. Chan Kim and Renee Mauborgne, is the proven system for making competition irrelevant by creating new market spaces through simultaneous achievement of differentiation and low cost. Instead of being locked in red oceans of fierce, bloody competition, you can apply Blue Ocean Strategy to move to clear waters of uncontested market space.

Electrical grids are an aggregate of multiple networks and multiple power generation companies. They require many operators employing varying levels of communication and coordination, most of which is manually controlled. Smart grids increase the connectivity, automation and coordination between these suppliers, consumers and networks that perform either long distance transmission or local distribution tasks.

This paradigm is changing as businesses and homes begin generating more wind and solar electricity, enabling them to sell surplus energy back to their utilities. Modernization is necessary for energy consumption efficiency, real time management of power flows and to provide the bi-directional metering needed to compensate local producers of power. Although transmission networks are already controlled in real time, many in the US and European countries are antiquated by world standards, and unable to handle modern challenges such as those posed by the intermittent nature of alternative electricity generation, or continental scale bulk energy transmission.

High costs.

What tends to happen in a technology-driven industry is that technology demands directly drive up costs. This is the particular case for smart grid development because of the different standards and technological requirements around the world. Here lies the potential Blue Ocean Strategy opportunity. The value should directly tie with a low cost structure.

Value innovation - the cornerstone of Blue Ocean Strategy.

Value innovation is the simultaneous pursuit of differentiation and low cost. It is called value innovation because instead of focusing on trying to beat the competition, you focus on making the competition irrelevant by creating a leap in value for buyers and your company, thereby opening up new and uncontested market space.

Value innovation places equal emphasis on value and innovation. Value without innovation tends to focus on value creation on an incremental scale and innovation without value tends to be technology-driven, often shooting beyond what buyers are ready to accept and pay for. If the focus is not on low cost the industry is sure to fall into fierce competition where competitors will move in and imitators reduce profit margins.

The different global standards.

The American National Standards Institute (ANSI) is responsible for mandating and monitoring North America metering standards .This body defines the physical form factor of socketed meters, the specifications for metrology and timing accuracy, and the appropriate performance and safety testing for meters. The European standards are defined by the International Electrotechnical Commission (IEC) and the Measuring Instrument Directive (MID). The differences between these standards do not affect the overall smart grid architecture, but they create requirements for different products in Europe and the U.S.

Communications standards. Most North American smart grid systems use a combination of TCP/IP addressing and communications to communicate with meters that use ANSI C12.18 and C12.22 communications. The European equivalent also uses TCP/IP—and this commonality creates a strong architectural commonality between North American and European solutions. The European meters, however, typically use IEC communications including the DLMS/COSEM suite of standards, so much of the head-end software and low-level communications components are different in the U.S. and Europe.

Radio emission standards. In North America, wireless mesh networks between electricity meters largely have won the day. This is partially because of the flexible regulations around use of public, unlicensed radio communications bands as regulated by the Federal Communications Commission (FCC). European regulations are somewhat different—communications in the unlicensed 2.4 GHz band are restricted to a lower power level and must use frequency- or channel-hopping technologies to be approved for use in the EU. This has delayed the introduction of wireless mesh technology into Europe, which is one reason PLC and digital cellular communications have been more popular. Recent pilots of wireless mesh technologies in the unlicensed 2.4 GHz band have shown promising results, so we expect an architectural convergence in the U.S. and Europe, even with the different radio emission standards.

The different global standards result in different technologies and infrastructure. This most likely will only lead to higher costs. The major smart metering hardware sellers and makers of software like Echelon, General Electric, Itron, IBM, Cisco and Honewell entering the market have an ample Blue Ocean Strategy opportunity.

One United States Department of Energy study calculated that internal modernization of US grids with smart grid capabilities would save between 46 and 117 billion dollars over the next 20 years. In 2009, the smart grid industry was valued at about $21.4 billion — by 2014, it will exceed at least $42.8 billion. Given the success of the smart grid’s in the U.S., the world market is expected to grow at a faster rate, surging from $69.3 billion in 2009 to $171.4 billion by 2014.

Furthermore, the push for smart grid development would increase GDP by creating more new, green-collar energy jobs related to renewable energy industry manufacturing, plug-in electric vehicles, solar panel and wind turbine generation, energy conservation construction.

The increase in energy demands, as well as the rising costs to provide and manage energy over the years has led to smart grid development around the world.

As the charge for global smart grid development ameliorates as do the high costs associated with smart grid development infrastructure and the various different technical standards around the world. As a result, these challenges have created a competitive marketspace for the industry. But, as companies strive to out-do their competitors they should consider how Blue Ocean Strategy can address global smart grid concerns.

Blue Ocean Strategy & Innovation in the World Today: How America Can Create Jobs

Monday, July 12th, 2010

Innovation has often been seen as a random experimental process. Blue Ocean Strategy challenges traditional innovation theories and offers systematic methodologies for creating blue oceans of uncontested market space and highly profitable growth. Blue Ocean Strategy challenges traditional innovation beliefs that innovation is trial and error must be done by an entrepreneur and opportunities and risks come together. Blue Ocean Strategy in contrast, offers analytical tools and frameworks that help organizations minimize risks while maximizing opportunities to achieve profitable growth.

Article by Andy Grove via Business Week

 

The former Intel chief says “job-centric” leadership and incentives are needed to expand U.S. domestic employment again

Recently an acquaintance at the next table in a Palo Alto (Calif.) restaurant introduced me to his companions, three young venture capitalists from China. They explained, with visible excitement, that they were touring promising companies in Silicon Valley. I’ve lived in the Valley a long time, and usually when I see how the region has become such a draw for global investments, I feel a little proud.

Not this time. I left the restaurant unsettled. Something did not add up. Bay Area unemployment is even higher than the 9.7 percent national average. Clearly, the great Silicon Valley innovation machine hasn’t been creating many jobs of late—unless you’re counting Asia, where American tech companies have been adding jobs like mad for years.

The underlying problem isn’t simply lower Asian costs. It’s our own misplaced faith in the power of startups to create U.S. jobs. Americans love the idea of the guys in the garage inventing something that changes the world. New York Times columnist Thomas L. Friedman recently encapsulated this view in a piece called “Start-Ups, Not Bailouts.” His argument: Let tired old companies that do commodity manufacturing die if they have to. If Washington really wants to create jobs, he wrote, it should back startups.

Friedman is wrong. Startups are a wonderful thing, but they cannot by themselves increase tech employment. Equally important is what comes after that mythical moment of creation in the garage, as technology goes from prototype to mass production. This is the phase where companies scale up. They work out design details, figure out how to make things affordably, build factories, and hire people by the thousands. Scaling is hard work but necessary to make innovation matter.

The scaling process is no longer happening in the U.S. And as long as that’s the case, plowing capital into young companies that build their factories elsewhere will continue to yield a bad return in terms of American jobs.

What Went Wrong?

Scaling used to work well in Silicon Valley. Entrepreneurs came up with an invention. Investors gave them money to build their business. If the founders and their investors were lucky, the company grew and had an initial public offering, which brought in money that financed further growth.

I am fortunate to have lived through one such example. In 1968 two well-known technologists and their investor friends anted up $3 million to start Intel (INTC), making memory chips for the computer industry. From the beginning we had to figure out how to make our chips in volume. We had to build factories, hire, train, and retain employees, establish relationships with suppliers, and sort out a million other things before Intel could become a billion-dollar company. Three years later the company went public and grew to be one of the biggest technology companies in the world. By 1980, 10 years after our IPO, about 13,000 people worked for Intel in the U.S.

Not far from Intel’s headquarters in Santa Clara, Calif., other companies developed. Tandem Computers went through a similar process, then Sun Microsystems, Cisco (CSCO), Netscape, and on and on. Some companies died along the way or were absorbed by others, but each survivor added to the complex technological ecosystem that came to be called Silicon Valley.

As time passed, wages and health-care costs rose in the U.S. China opened up. American companies discovered that they could have their manufacturing and even their engineering done more cheaply overseas. When they did so, margins improved. Management was happy, and so were stockholders. Growth continued, even more profitably. But the job machine began sputtering.

The 10X Factor

Today, manufacturing employment in the U.S. computer industry is about 166,000, lower than it was before the first PC, the MITS Altair 2800, was assembled in 1975). Meanwhile, a very effective computer manufacturing industry has emerged in Asia, employing about 1.5 million workers—factory employees, engineers, and managers. The largest of these companies is Hon Hai Precision Industry, also known as Foxconn. The company has grown at an astounding rate, first in Taiwan and later in China. Its revenues last year were $62 billion, larger than Apple (AAPL), Microsoft (MSFT), Dell (DELL), or Intel. Foxconn employs over 800,000 people, more than the combined worldwide head count of Apple, Dell, Microsoft, Hewlett-Packard (HPQ), Intel, and Sony (SNE).

Until a recent spate of suicides at Foxconn’s giant factory complex in Shenzhen, China, few Americans had heard of the company. But most know the products it makes: computers for Dell and HP, Nokia (NOK) cell phones, Microsoft Xbox 360 consoles, Intel motherboards, and countless other familiar gadgets. Some 250,000 Foxconn employees in southern China produce Apple’s products. Apple, meanwhile, has about 25,000 employees in the U.S. That means for every Apple worker in the U.S. there are 10 people in China working on iMacs, iPods, and iPhones. The same roughly 10-to-1 relationship holds for Dell, disk-drive maker Seagate Technology (STX), and other U.S. tech companies.

You could say, as many do, that shipping jobs overseas is no big deal because the high-value work—and much of the profits—remain in the U.S. That may well be so. But what kind of a society are we going to have if it consists of highly paid people doing high-value-added work—and masses of unemployed?

Since the early days of Silicon Valley, the money invested in companies has increased dramatically, only to produce fewer jobs. Simply put, the U.S. has become wildly inefficient at creating American tech jobs. We may be less aware of this growing inefficiency, however, because our history of creating jobs over the past few decades has been spectacular—masking our greater and greater spending to create each position. Should we wait and not act on the basis of early indicators? I think that would be a tragic mistake, because the only chance we have to reverse the deterioration is if we act early and decisively.

Already the decline has been marked. It may be measured by way of a simple calculation—an estimate of the employment cost-effectiveness of a company. First, take the initial investment plus the investment during a company’s IPO. Then divide that by the number of employees working in that company 10 years later. For Intel this worked out to be about $650 per job—$3,600 adjusted for inflation. National Semiconductor (NSM), another chip company, was even more efficient at $2,000 per job. Making the same calculations for a number of Silicon Valley companies shows that the cost of creating U.S. jobs grew from a few thousand dollars per position in the early years to a hundred thousand dollars today. The obvious reason: Companies simply hire fewer employees as more work is done by outside contractors, usually in Asia.

The job machine breakdown isn’t just in computers. Consider alternative energy, an emerging industry where there’s plenty of innovation. Photovoltaics, for example, are a U.S. invention. Their use in home energy applications was also pioneered by the U.S. Last year, I decided to do my bit for energy conservation and set out to equip my house with solar power. My wife and I talked with four local solar firms. As part of our due diligence, I checked where they get their photovoltaic panels—the key part of the system. All the panels they use come from China. A Silicon Valley company sells equipment used to manufacture photo-active films. They ship close to 10 times more machines to China than to manufacturers in the U.S., and this gap is growing. Not surprisingly, U.S. employment in the making of photovoltaic films and panels is perhaps 10,000—just a few percent of estimated worldwide employment.

There’s more at stake than exported jobs. With some technologies, both scaling and innovation take place overseas.

Such is the case with advanced batteries. It has taken years and many false starts, but finally we are about to witness mass-produced electric cars and trucks. They all rely on lithium-ion batteries. What microprocessors are to computing, batteries are to electric vehicles. Unlike with microprocessors, the U.S. share of lithium-ion battery production is tiny.

That’s a problem. A new industry needs an effective ecosystem in which technology knowhow accumulates, experience builds on experience, and close relationships develop between supplier and customer. The U.S. lost its lead in batteries 30 years ago when it stopped making consumer electronics devices. Whoever made batteries then gained the exposure and relationships needed to learn to supply batteries for the more demanding laptop PC market, and after that, for the even more demanding automobile market. U.S. companies did not participate in the first phase and consequently were not in the running for all that followed. I doubt they will ever catch up.

The Key to Job Creation

Scaling isn’t easy. The investments required are much higher than in the invention phase. And funds need to be committed early, when not much is known about the potential market. Another example from Intel: The investment to build a silicon manufacturing plant in the ’70s was a few million dollars. By the early ’90s the cost of the factories that would be able to produce the new Pentium chips in volume rose to several billion dollars. The decision to build these plants needed to be made years before we knew whether the Pentium chip would work or whether the market would be interested in it.

Lessons we learned from previous missteps helped us. Some years earlier, when Intel’s business consisted of making memory chips, we hesitated to add manufacturing capacity, not being all that sure about the market demand in years to come. Our Japanese competitors didn’t hesitate: They built the plants. When the demand for memory chips exploded, the Japanese roared into the U.S. market and Intel began its descent as a memory chip supplier. Despite being steeled by that experience, I still remember how afraid I was as I asked the Intel directors for authorization to spend billions of dollars for factories to produce a product that did not exist at the time for a market we could not size. Fortunately, they gave their O.K. even as they gulped. The bet paid off.

My point isn’t that Intel was brilliant. The company was founded at a time when it was easier to scale domestically. For one thing, China wasn’t yet open for business. More importantly, the U.S. had not yet forgotten that scaling was crucial to its economic future.

How could the U.S. have forgotten? I believe the answer has to do with a general undervaluing of manufacturing—the idea that as long as “knowledge work” stays in the U.S., it doesn’t matter what happens to factory jobs. It’s not just newspaper commentators who spread this idea. Consider this passage by Princeton University economist Alan S. Blinder: “The TV manufacturing industry really started here, and at one point employed many workers. But as TV sets became ‘just a commodity,’ their production moved offshore to locations with much lower wages. And nowadays the number of television sets manufactured in the U.S. is zero. A failure? No, a success.”

I disagree. Not only did we lose an untold number of jobs, we broke the chain of experience that is so important in technological evolution. As happened with batteries, abandoning today’s “commodity” manufacturing can lock you out of tomorrow’s emerging industry.

Wanted: Job-Centric Economics

Our fundamental economic beliefs, which we have elevated from a conviction based on observation to an unquestioned truism, is that the free market is the best of all economic systems—the freer the better. Our generation has seen the decisive victory of free-market principles over planned economies. So we stick with this belief, largely oblivious to emerging evidence that while free markets beat planned economies, there may be room for a modification that is even better.

Such evidence stares at us from the performance of several Asian countries in the past few decades. These countries seem to understand that job creation must be the No. 1 objective of state economic policy. The government plays a strategic role in setting the priorities and arraying the forces and organization necessary to achieve this goal. The rapid development of the Asian economies provides numerous illustrations. In a thorough study of the industrial development of East Asia, Robert Wade of the London School of Economics found that these economies turned in precedent-shattering economic performances over the ’70s and ’80s in large part because of the effective involvement of the government in targeting the growth of manufacturing industries.

Consider the “Golden Projects,” a series of digital initiatives driven by the Chinese government in the late 1980s and 1990s. Beijing was convinced of the importance of electronic networks—used for transactions, communications, and coordination—in enabling job creation, particularly in the less developed parts of the country. Consequently, the Golden Projects enjoyed priority funding. In time they contributed to the rapid development of China’s information infrastructure and the country’s economic growth.

How do we turn such Asian experience into intelligent action here and now? Long term, we need a job-centric economic theory—and job-centric political leadership—to guide our plans and actions. In the meantime, consider some basic thoughts from a onetime factory guy.

Silicon Valley is a community with a strong tradition of engineering, and engineers are a peculiar breed. They are eager to solve whatever problems they encounter. If profit margins are the problem, we go to work on margins, with exquisite focus. Each company, ruggedly individualistic, does its best to expand efficiently and improve its own profitability. However, our pursuit of our individual businesses, which often involves transferring manufacturing and a great deal of engineering out of the country, has hindered our ability to bring innovations to scale at home. Without scaling, we don’t just lose jobs—we lose our hold on new technologies. Losing the ability to scale will ultimately damage our capacity to innovate.

The story comes to mind of an engineer who was to be executed by guillotine. The guillotine was stuck, and custom required that if the blade didn’t drop, the condemned man was set free. Before this could happen, the engineer pointed with excitement to a rusty pulley, and told the executioner to apply some oil there. Off went his head.

We got to our current state as a consequence of many of us taking actions focused on our own companies’ next milestones. An example: Five years ago a friend joined a large VC firm as a partner. His responsibility was to make sure that all the startups they funded had a “China strategy,” meaning a plan to move what jobs they could to China. He was going around with an oil can, applying drops to the guillotine in case it was stuck. We should put away our oil cans. VCs should have a partner in charge of every startup’s “U.S. strategy.”

The first task is to rebuild our industrial commons. We should develop a system of financial incentives: Levy an extra tax on the product of offshored labor. (If the result is a trade war, treat it like other wars—fight to win.) Keep that money separate. Deposit it in the coffers of what we might call the Scaling Bank of the U.S. and make these sums available to companies that will scale their American operations. Such a system would be a daily reminder that while pursuing our company goals, all of us in business have a responsibility to maintain the industrial base on which we depend and the society whose adaptability—and stability—we may have taken for granted.

I fled Hungary as a young man in 1956 to come to the U.S. Growing up in the Soviet bloc, I witnessed first-hand the perils of both government overreach and a stratified population. Most Americans probably aren’t aware that there was a time in this country when tanks and cavalry were massed on Pennsylvania Avenue to chase away the unemployed. It was 1932; thousands of jobless veterans were demonstrating outside the White House. Soldiers with fixed bayonets and live ammunition moved in on them, and herded them away from the White House. In America! Unemployment is corrosive. If what I’m suggesting sounds protectionist, so be it.

Every day, that Palo Alto restaurant where I met the Chinese venture capitalists is full of technology executives and entrepreneurs. Many of them are my friends. I understand the technological challenges they face, along with the financial pressure they’re under from directors and shareholders. Can we expect them to take on yet another assignment, to work on behalf of a loosely defined community of companies, employees, and employees yet to be hired? To do so is undoubtedly naïve. Yet the imperative for change is real and the choice is simple. If we want to remain a leading economy, we change on our own, or change will continue to be forced upon us.

 

Blue Ocean Strategy & Innovation in the World Today: BYD Dreams of Electric Cars

Thursday, July 8th, 2010

Image by Google

Innovation has often been seen as a random experimental process. Blue Ocean Strategy challenges traditional innovation theories and offers systematic methodologies for creating blue oceans of uncontested market space and highly profitable growth. Blue Ocean Strategy challenges traditional innovation beliefs that innovation is trial and error must be done by an entrepreneur and opportunities and risks come together. Blue Ocean Strategy in contrast, offers analytical tools and frameworks that help organizations minimize risks while maximizing opportunities to achieve profitable growth.

China-based BYD wants to be the first to deliver a mass-produced, electric-powered, plug-in vehicle. It might just do it, too.

 

For years, industry watchers have been betting on which company would produce the first reliable, plug-in, electric-powered car. Most experts assumed it would be whichever auto manufacturer first developed a battery powerful enough to run its cars. Would it be General Motors and its Chevy Volt? Or maybe Tesla Motors’ Model S?

 

As it turns out, the pundits may have gotten things backwards. If all goes according to plan, battery-maker BYD could be the first company to deliver a mass-produced, electric-powered, plug-in vehicle, ahead of Detroit, Stuttgart, or Tokyo.

 

If you don’t know the company, open the back of your mobile phone. Chances are the battery powering the device was produced by BYD, a 15-year-old company based in Shenzhen, China. Today, BYD is the leading supplier of batteries to Nokia (NOK), Samsung, and Motorola (MOT). Now it wants to be the leading supplier of power plants for a family of sedans, subcompacts, and sports coupes that will bear its name. Already BYD has attracted quite a following. Among those interested in the company: Warren Buffett, who plunked down more than $200 million to buy 10 percent of BYD in 2008.

 

Why would BYD be interested in the auto industry? Opportunity. The market for cars is on the cusp of an immense transition—from gas guzzlers to fuel-efficient and environmentally friendly vehicles. BYD senses a once-in-a-lifetime chance to shake up the established world order. Company leaders believe that newcomers have as good a shot at capturing the market as the incumbents. And what an opportunity it could be: According to various estimates, the worldwide market for electric vehicles could be as large as 10 million cars per year by 2016. That’s more than 12 percent of the global market for automobiles. “It’s almost hopeless for a latecomer like us to compete with GM and other established automakers with a century of experience in gasoline engines,” says BYD’s ambitious founder and chairman, Wang Chuanfu. “With electric vehicles, we’re all at the same starting line.”

 

An Especially Difficult Leap

 

To get to that starting line, Wang had to embrace a completely new business model to complement its existing model, something nearly impossible for most companies. To make the leap from invisible components to branded products, BYD had to develop a new workforce, create a consumer brand, ramp up government relations to engage national safety commissions, and create an entirely new supply chain. Any one of these can bury a company looking to augment its business model. And for good reason: These are extremely difficult challenges to overcome, all the more so in mature industries.

 

Despite the difficulty, some companies persevere. They do so because they believe new business models are the key to enormous value in the form of access to new markets, customers, investment capital, and profits. Take Disney (DIS): Within the Magic Kingdom are theme parks, television networks, cruise ships, merchandising operations, and film studios, among other interests. Although they have different financial models, success metrics, and fundamentals, they nonetheless provide Disney an unrivaled footprint in entertainment.

 

Most companies never achieve anything close to this level of diversification. But even big companies with broad portfolios need to remain attuned to the importance of business model innovation. Multiple business models provide a company a buffer against downturns in any one sector and an extra lift when times are good. They provide entry into adjacent markets and thus expand a company’s opportunity and preserve its longevity should one of its revenue streams come under threat from increased competition, regulatory changes, or even internal challenges.

Article by Business Week

 

 

 


Follow us on Social Networks
  • Copyright © 2009-2010 Strategize Blue