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Showing posts with label Unicorns. Show all posts
Showing posts with label Unicorns. Show all posts

Wednesday, July 5, 2017

50 Smartest companies as per MIT Evaluation 07-06




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It Pays to Be Smart

Superstar companies are dominating the economy by exploiting a growing gap in digital competencies. 

Our economy is increasingly ruled by a few dominant firms. We see them everywhere, from established giants Amazon, Facebook, Google, Apple, and Walmart to fast-growing newcomers like Airbnb, Tesla, and Uber. There have always been large companies and outright monopolies, but there’s something distinctive about this new generation of what some economists call superstar companies. They appear across a broad range of business sectors and have gained their power at least in part by adeptly anticipating and using digital technologies that foster conditions where a few winners essentially take all.

Our annual list of the 50 Smartest Companies includes many of these firms, but it’s not merely a list of today’s biggest or most profitable players. It highlights technologically innovative companies whose business models allow them to exploit these advances. The list is our best guess as to which firms will be the dominant companies of the future. Amazon and Facebook and Google are on it, but so are plenty of newcomers. Though they might be unfamiliar to you today, we believe they have an inside track to take advantage of the technologies, such as artificial intelligence, that will define business in the coming years. Being smart about innovation won’t guarantee that these firms become superstars. But it does, at least, give them the potential to create and dominate new markets in an increasingly competitive business environment. 

The emergence of superstar companies has, in many ways, helped to define our era. Digital giants, in particular, have cleverly leveraged the Internet, so-called network effects, and big data to become hugely profitable while providing indispensable serviceslike free Web search and easy online shoppingand devices that have changed our lives (see “Why Tesla Is Worth More Than GM”).

But Internet companies aren’t the only ones to become superstars. According to recent research by economists at Harvard and MIT, the share of sales by superstar companieswhich the authors define as the four largest firms in a given industryhas gone up sharply in all the sectors they looked at, from transportation to services to finance. The trend toward  superstar firms is accelerating, says Lawrence Katz, a Harvard economist and coauthor of the study. It has become more uniform across industries and developed economies during the past decade or so. These companies’ dominance is particularly strong in markets undergoing rapid technological change. Katz says that’s probably because of the wide disparity in how well companies take advantage of new advances. In other words, you have to be the smartest company in your field or you might as well not bother.

In itself, that might not be bad. But the authors identified a deeply troubling result of an economy where just a few top-tier companies dominate. One of the economic truths of much of the 20th century was that the portion of the country’s overall income that went to labor was constant; as the economy grew, workers got a proportionate share of that growing pie. But labor’s share of the national income has been shrinking over the past few decades. This is true in many countries, and the decline speeded up in the United States in the 2000s.

The trend puzzles economists. Some suggest it reflects the rise of cheap robots that can do the jobs of human workers, but the data isn’t convincing. Instead, Katz and his coauthors blame the emergence of the superstar companies. As these companies grow and become more efficient and more adept at using digital technologies, they need fewer workers relative to their soaring revenues. The fact that these labor-frugal firms have so much of the market share in their sectors means labor gets a smaller portion of the nation’s overall income.

Compounding the problem is that superstar companies, which desire the best possible talent, tend to pay much better than anyone else. This dynamic is deepening the divide between the country’s economic winners and losers. Nicholas Bloom, an economist at Stanford, and his colleagues have shown that about one-third of the growth in U.S. income inequality since 1980 can be explained by the disparity between the pay premiums of a few elite companies and the salaries most workers earn. Fewer and fewer peoplemostly a select group of highly trained professionalsare enjoying the vast profits generated by these top companies. It is “certainly a big part of the [economic] anxiety” that is plaguing the country, Katz believes.

The rise of the superstar companies also might help explain another disturbing economic trend. Despite the proliferation of impressive new advances in software, digital devices, and artificial intelligence over the last decade and the great profits generated by Silicon Valley, economic growth in the United States and other developed countries has been sluggish (see “Dear Silicon Valley: Forget Flying Cars, Give Us Economic Growth”). In particular, an economic measure called total factor productivity, which is meant to reflect innovation, has been dismal (see “Tech Slowdown Threatens the American Dream”).



How can overall growth be so lackluster while the high-tech sector is booming?


Economists with the Organization for Economic Cooperation and Development think they have found the answer. It turns out that productivity at the top companies in various sectors—what the OECD economists call the frontier firms—is growing robustly. These are the companies making the best use of the Internet, software, and other technologies to streamline their operations and create new market opportunities. But most companies aren’t actually harnessing new technologies very effectively. And the relatively poor productivity of these laggards, says OECD economist Dan Andrews, is dragging down the overall economy. “Technologies are increasingly complex, and many firms may lack the competencies to adapt,” suggests Andrews, coauthor of the OECD study, which looked at the United States and 23 other developed countries.

In some ways the OECD findings are encouraging, because they demonstrate that recent innovations do—in the hands of top companies—have the potential to strongly improve productivity. But surprisingly, says Andrews, the laggards seem to be making little progress toward catching up; new ideas and business practices aren’t trickling down as rapidly as they should. The reason isn’t entirely clear, he says. But it seems that the economy is less dynamic and efficient at “dispersing” new technologies than we might think.

Such findings help drive home the importance of the 50 Smartest Companies list. Be assured, there are no laggards on it. But the research by Andrews and others also shows why we need a better business climateone that allows more startups and fresh ideas to thrive. Today’s giant companies are pulling ahead, and a dwindling number of individuals are reaping the financial rewards. There is nothing inevitable about that trend. The advent of complex technologies such as artificial intelligence, which will be critical to future business success and are tricky to understand and master, could widen the gap further. They could also provide ample opportunities for new companies to create markets that don’t even exist today. We do need companies to aggressively push the frontiers of innovation. Still, as we celebrate our 50 Smartest Companies, it is worth keeping in mind the importance of distributing know-how, and the wealth it produces, more broadly.


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Reproduced from MIT Technology Review

Sunday, April 9, 2017

Business Chemistry in the C-suite 04-08








































Do C-suite executives work differently than many of us?

Business Chemistry explores C-suite working preferences

C-suite executives are more likely than the general business population to think about the big picture, embrace the competitive spirit, and make quick decisions. That’s the finding of a new study of 661 C-suite executives by the Deloitte Greenhouse Experience team. Business Chemistry’s researchers provide tips for all four types whether they are current leaders, aspiring leaders, or those who work with a CxO.





Executive Summary

In a new report titled, “Business Chemistry in the C-suite,” researchers from the Deloitte Greenhouse Experience team surveyed 661 C-suite executives and found that two of the four primary Business Chemistry types account for nearly two-thirds of the sample.
  • 36 percent: Pioneers, who value possibilities and spark creativity
  • 29 percent: Drivers, who value challenge and generate momentum
  • 18 percent: Guardians, who value stability and bring order
  • 17 percent: Integrators, who value connection and draw teams together

65 percent of CxOs are characterized by two Business Chemistry types.
























These executives are more likely to be energetic, big picture thinkers who are comfortable with ambiguity, and at the same time, tend to take more quantitative approaches1. They’re more competitive and willing to address conflict. And, they tend to make decisions more quickly, without worrying about the popularity of those decisions. There seems to be a sort of toughness about these CxOs and a tendency to not sweat the small stuff. Check out the CxO Difference infographic to learn more.

However, there are also many ways in which CxOs are similar to those in the general business population. The research suggests that compared to the typical professional, those in C-suite roles are not more (or less) disciplined, punctual, or practical. They don’t place a different level of priority on relationships or building a network, or feel a different level of duty to society. They’re neither more nor less imaginative, interested in exploring new things, or fond of experimenting with novel ideas. And they don’t have differing comfort levels with expressiveness, nor do they place different levels of value on composure.

1 Analyses of these traits and others in this section are based on the 68 items of the Business Chemistry Assessment. Respondents use sliders to indicate their level of agreement with statements such as “Other people would say that I am a very disciplined person.”
                      

Factors influencing CxO’s working preferences

The study also reveals differences in the proportion of Business Chemistry types in the C-suite related to function, organization size, industry and gender.

For example, while Pioneers were more prevalent in the C-suite overall in our study, Drivers (37 percent) and Guardians (26 percent) were the two top CFO types represented, while the CIO role contained relatively similar proportions of Drivers (37 percent) and Pioneers (36 percent). Similarly, in the largest organizations in our sample, those with more than 100,000 employees, the proportion of C-suite executives who were Drivers (38 percent) outpaced the proportion of Pioneers (29 percent); and in organizations with more than $10 billion in revenue, Drivers and Pioneers each represented 34 percent of the C-suite.

In organizations with more than 100,000 employees the proportion of Driver CxOs (38 percent) is greater than that of Pioneers (29 percent).

The study suggests that in several industries Pioneers are the most common Business Chemistry type in the C-suite, but in certain other industries we see concentrations of Drivers, Guardians, and Integrators in CxO roles. The CxO Industries infographic offers an in depth look.

Our research shows gender differences between Business Chemistry types, both within the C-suite and the general business population. This study found both women and men in the C-suite were most likely to be Pioneers, but a higher proportion of female executives were Integrators (27 percent) than Drivers (22 percent). By contrast, a higher proportion of male executives were Drivers (33 percent) than Integrators (12 percent).

Why are we seeing these patterns and what are the implications?

We propose there are a number of external selection factors that may lead to Drivers, and even more so Guardians and Integrators, being less common in the C-suite. These include various elements of today’s business environment, the rise of the “extrovert ideal,” the tendency for like types to attract, and some particular reasons that the value of Guardians and Integrators sometimes goes unrecognized. Learn more from the CxO Behind the Scenes infographic.

Additionally, we suggest there are self-section factors at play from how a type responds to stress to their desired career aspirations. When 13,885 professionals in a separate study were asked what they most aspire to when it comes to their careers, the overwhelming majority of Drivers (68 percent) and Pioneers (67 percent) chose “Leader.” The top three choices for each type were:
  • Drivers: “Leader” (68 percent), “Top performer” (52 percent), “Innovator” (36 percent)
  • Pioneers: “Leader” (67 percent), “Innovator” (44 percent), “Top performer” (33 percent)
  • Integrators: “Leader” (51 percent), “Team player” (48 percent), “Mentor” (40 percent)
  • Guardians: “Leader” and “Top performer” (tied at 50 percent), “Team player” (46 percent)
A C-suite dominated by a particular type may have positive implications. For example, as leaders Pioneers can inspire creativity in others. But there may be negative implications as well, which may differ depending on whether leaders are working with those who share their type or don’t.

Recommendations for leaders and those who work with them

A primary tenet of Business Chemistry is that varying approaches will work to bring out the best in the different Business Chemistry types. Download the full report to learn more about recommendations based on the findings in this study for current leaders, aspirational leaders, and for those who work with CxOs, including the following segments:
  • For current leaders, learn more about identifying disparate work styles on your teams and actively managing differences to benefit the organization. Explore insights on the role of opposites, why it’s important to elevate minority team perspectives, and take note of more introverted and sensitive team members. Read more in the recent Harvard Business Review article “The new science of team chemistry.”

  • For those who are not currently leading, regardless of whether you aspire to the C-suite or have other aspirations, find out how you might flex your style to help achieve your objectives with those who have different working styles.

We’re not all the same. Of course that’s the point of Business Chemistry and the beauty of working with diverse teams. With a little extra effort, you can bring together people with diverse perspectives and do more together than you might by sticking with those of your own type. As Einstein once said: “When we all think alike, no one thinks very much.


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Wednesday, August 17, 2016

How Uber, Airbnb, and Etsy Attracted Their First 1,000 Customers 08-18





Image credit : Shyam's Imagination Library


How Uber, Airbnb, and Etsy Attracted Their First 1,000 Customers... 


New businesses often struggle finding their first customers. The challenge is even more difficult with startups in the sharing economy that launch as platforms connecting independent service providers with consumers.

Take Uber. Its platform is two-sided, connecting people who need rides with people who have rides to offer. (Same idea as Airbnb, which connects people needing rooms with home-owners.) So to launch as a platform service, these companies need to find users on both the supply and demand sides.
“Poaching customers is something all competitors do in different ways”
“When you have a two-sided platform, you have to acquire both the customers and the services,” says Harvard Business School’s Thales Teixeira, Lumry Family Associate Professor of Business Administration.

“It’s the classic chicken-and-egg problem,” he says. You can’t have one without the other, but which one do you find first—the customer chicken or the service egg? “As a small company you cannot afford to focus on both with the same amount of effort. You may need to prioritize one side.”
Preparing to teach a new course on e-commerce marketing next spring, Teixeira made it his goal to find an answer. He studied three of the best-known and most successful startups—Uber, Etsy, and Airbnb—hoping to find some commonalities in how those businesses solved the dilemma.
Spoiler alert: it’s the egg that needs incubating.

As Teixeira reports in a new HBS case, Airbnb, Etsy, Uber: Acquiring the First Thousand Customers, all three platforms concentrated on getting the service side of the equation first, customers second. But there’s a catch. “It’s not just the chicken and the egg, you also want to select the right eggs,” explains Teixeira. “If you acquire the wrong eggs and ostriches come out, then you are in trouble. The chickens will run for the hills.”

LESSON ONE: THINK LIKE A CUSTOMER

From the beginning, it was clear to the founders of apartment-sharing site Airbnb that they’d need to find people willing to list their homes before finding people interesting in staying in them.

“If you don’t have a supply of houses and apartments, people are not going to come,” says Teixeira. The problem was, where to find people willing to let strangers stay in their places. It’s not like they could go around San Francisco knocking on doors.

Instead, founders Brian Chesky and Joe Gebbia thought like customers themselves, trying to figure out where they would go if Airbnb didn’t exist. It didn’t take them long to figure out the answer: Craigslist. The entrepreneurs figured they could do a better job of making apartments appealing than the online classified site, but first they had to siphon away its customers. To do that, Chesky and Gebbia created software to hack Craigslist to extract the contact info of property owners, then sent them a pitch to list on Airbnb as well.

The strategy worked. With nothing to lose, property owners doubled their chances of finding a potential renter, and Airbnb had a ready supply of homes with which it could attract customers.
“Poaching customers is something all competitors do in different ways,” says Teixeira. “If you are a website and you are providing content to users publicly, others can grab that information.” It’s not enough to just take someone else’s customers, though, he warns—you’ve got to give them something better than they had before.

LESSON TWO: CREATE A BETTER EXPERIENCE

Once they had apartment owners on the hook, the Airbnb founders realized they had a problem: the subpar photos that property owners were taking for Craigslist on their iPhones would never work for customers looking for an alternative to a hotel.

“The first time a person goes on Airbnb, they are comparing the quality of photos to hotels that take glamorized shots,” says Teixeira. “They needed to compete at that level.”

In order to do that, Chesky and Gebbia did something that would never be scalable: hired professional photographers to go to property owners’ homes to take inviting pictures. The gambit worked, making the site much more attractive than the competition, and setting a standard for photography that later property owners rose to match in order to compete against other homes.
“The underlying principle of this is you should help your suppliers portray themselves in the best way possible, even if that is not scalable,” concludes Teixeira. “If you don’t have customers, there is nothing to scale.”

Ride-sharing app Uber pursued a similar strategy. Rather than starting out with Uber Pool or Uber X, in which drivers use their own cars, the company started with black cars driven by professional drivers. That way, they could ensure that customers would have a great experience virtually every time they used the service—and they could then rely on customers to spread the news of that experience by word of mouth. “That’s why you get the supply side first—if you get the right suppliers, the customers will experience their high quality service and then do the marketing for you,” says Teixeira.

Etsy also pursued a decidedly non-scalable strategy in finding the right eggs with which to launch its business. The platform, which serves as an online marketplace for craft vendors, started its business with an offline strategy: scouring craft fairs across the country to identify the best vendors at each, and pitching them on opening up an online store on the site. “They first brought their customers, and then they brought other artisans who followed the customers.” Once Etsy had the first-tier artisans on the site, the next tier naturally followed them.

LESSON THREE: SEQUENCING IS EVERYTHING

Uber and Airbnb were also smart about how they chose to expand, picking the right cities at the right time to maximize their success.

Since Uber’s main competition was taxi cab companies, the startup researched which cities had the biggest discrepancy between supply and demand for taxis. They then launched during times when that demand was likely to be the highest, for example during the holidays when people tend to stay out late partying. It also ran promotions during large concerts or sporting events, when big crowds of people all needed cabs at the same time, and an individual might be more likely to take a chance on an unfamiliar company named Uber.

In that way, the company acquired a large group of customers in one swoop. “First, they figured out how to get a bunch of customers all in one night, when the demand was high. Then, they made sure this first group of users had a great experience and brought in the next wave of customers via word-of-mouth,” says Teixeira. The company banked on the fact that once users realized how easy it was, it was only a matter of time before they started using it to go to work, then shopping for groceries, and so on.

Airbnb followed a similar strategy with its rollout, launching in Denver in 2008 to coincide with the lack of hotel space during the Democratic National Convention and adding new cities at times when they had major conventions or other events.

In addition to the obvious demand, the strategy has another benefit: “Your competitors don’t see you as a threat, since you are not taking away from their demand,” says Teixeira. By the time you have a foothold in the marketplace, it’s already too late for them to do anything about it.

Launching in situations of high demand and low supply also helps startups acquire the right type of customers—those early adopters who might be more forgiving of a company while it works out the kinks. After all, beggars can’t be choosers, and if you are thankful to even have a room during a conference, maybe you’ll forgive the lack of hand towels. The last thing a company wants during its early phases is negative word-of-mouth.

“You are still a startup,” says Teixeira. “You have to find people who are willing to accept your flaws and cut you some slack. Satisfying all their needs and wants is just not feasible at this early stage.”

Next Lesson: From 1,000 to 100,000,000

With early adopters in place, a company can start thinking about how to expand their customer base through more traditional means of marketing.

To tackle that problem, Teixeira wrote a sequel case study, Airbnb, Etsy, Uber: Growing from One Thousand to One Million Customers, and is currently working on a third entry in the trilogy that will examine how a platform can go from one million to many millions of customers.
In each case the strategies are different. While word-of-mouth might work for the first thousand it’s not going to get you to a million. “You have to be more proactive and control the acquisition process, which word-of-mouth does not allow for.”

That’s where digital marketing can help, allowing companies to target specific customers through search ads or social media at a low cost.

“It’s highly targetable and you can do it on the cheap,” says Teixeira—adding that digital marketing also makes it easy for companies to rapidly iterate its advertising message, tweaking it to figure out what works best. “Only after passing the millionth customer can you go into advertising on traditional media. That’s when you need massive scale, so you go to mass marketing.”
As a company grows, it must consider the purpose of advertising in order to achieve the best effects in gaining new customers.

“Some tools are better for the beginning, some are better when you are bigger,” says Teixeira. “It’s not about, should I use digital marketing or word-of-mouth or TV ads. The question only makes sense when you say, 'I am at this stage, what approach should I take?' Only when you answer that question will you know what tool is most appropriate.”

In other words, he says, “You need the right size of eggs for each stage of your nest.”

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