Wednesday, February 9, 2011

What a Hundred Million Calls to 311 Reveal About New York

What a Hundred Million Calls to 311 Reveal About New York

by STEVEN JOHNSON, wired.com
November 1st 2010

New Yorkers are accustomed to strong odors, but several years ago a new aroma began wafting through the city’s streets, a smell that was more unnerving than the usual offenders (trash, sweat, urine) precisely because it was so delightful: the sweet, unmistakable scent of maple syrup. It was a fickle miasma, though, draping itself over Morningside Heights one afternoon, disappearing for weeks, reemerging in Chelsea for a few passing hours before vanishing again. Fearing a chemical warfare attack, perhaps from the Aunt Jemima wing of al Qaeda, hundreds of New Yorkers reported the smell to authorities. The New York Times first wrote about it in October 2005; local blogs covered each outbreak, augmented by firsthand reports in their comment threads.

The city quickly determined that the odor was harmless, but the mystery of its origin persisted for four years. During maple syrup events, as they came to be called, operators at the city’s popular NYC311 call center—set up to field complaints and provide information on school closings and the like—were instructed to reassure callers that they could go about their business as usual.

But then city officials had an idea. Those calls into the 311 line, they realized, weren’t simply queries from an edgy populace. They were clues.

On January 29, 2009, another maple syrup event commenced in northern Manhattan. The first reports triggered a new protocol that routed all complaints to the Office of Emergency Management and Department of Environmental Protection, which took precise location data from each syrup smeller. Within hours, inspectors were taking air quality samples in the affected regions. The reports were tagged by location and mapped against previous complaints. A working group gathered atmospheric data from past syrup events: temperature, humidity, wind direction, velocity.

Seen all together, the data formed a giant arrow aiming at a group of industrial plants in northeastern New Jersey. A quick bit of shoe-leather detective work led the authorities to a flavor compound manufacturer named Frutarom, which had been processing fenugreek seeds on January 29. Fenugreek is a versatile spice used in many cuisines around the world, but in American supermarkets, it’s most commonly found in the products on one shelf—the one where they sell cheap maple-syrup substitutes.

Fifteen months after the Maple Syrup Mystery was solved, mayor Michael Bloomberg paid a visit to the 311 call center, which is housed in the warrens of downtown Manhattan, just a few blocks east of Ground Zero. With its high ceilings, playful carpet tiles, and dual LCD monitors on every desk, the main call center room looks like a web startup, until you register the steady murmur of 150 to 200 customer service professionals working the phones. Mounted on one wall is an oversize dashboard, with chunky blue, red, and green LED pixels tallying the day’s inflows by city department: calls waiting, maximum waiting time, agents on call—and the most important statistic of all, “service level,” which reports the percentage of calls that are answered within 30 seconds. Bloomberg’s visit this May was in honor of 311’s 100 millionth call, and for the photo op, the mayor fielded one call himself. As it happened, the caller recognized Bloomberg’s voice; he turned out to be a former colleague from the mayor’s investment banking days at Salomon Brothers. Even the biggest cities have small towns buried within them.

There was something fitting in this unlikely connection, since 311 is designed to re-create some of the human touch of small-town life in the context of a vast metropolis. Eighty percent of calls connect to a live rep within half a minute, after a brief recorded message summing up the day’s parking regulations (a major topic of 311 queries) and other relevant news. Also crucial to the 311 ethos is the idea of civic accountability: By giving New Yorkers an easy way to report broken streetlights or graffiti or after-hours construction, the service helps them play a role in solving the problems they see in their own neighborhoods.

Launched in March 2003, 311 now fields on average more than 50,000 calls a day, offering information about more than 3,600 topics: school closings, recycling rules, homeless shelters, park events, pothole repairs. The service has translators on call to handle some 180 different languages. City officials tout a 2008 customer satisfaction survey, conducted by an outside firm, that compared 311’s popularity to other call centers in both the public and private sectors. 311 finished first, barely edging out hotel and retail performance but beating other government call centers, like the IRS’s, by a mile. (At the very bottom of the list, not surprisingly: cable companies.) Executive director Joseph Morrisroe attributes 311’s stellar scores to its advanced technology, relentless focus on metrics, and employee training, which ensures that “customers will speak with a polite, professional, and knowledgeable New Yorker when they need assistance.”

If anyone still wondered whether the 311 concept was here to stay, New York’s 100 millionth call should have dispelled all doubts. So, for that matter, should the other 300-plus public call centers now in operation across the US. For millions of Americans, dialing 311 has become almost as automatic as 411 or 911. But—as New York learned in the maple syrup incident—the hundreds of millions of calls also represent a huge pool of data to be collected, parsed, and transformed into usable intelligence. Perhaps even more exciting is the new ecosystem of startups, inspired by New York’s success and empowered by 21st-century technology, that has emerged to create innovative ways for residents to document their problems. All this meticulous urban analysis points the way toward a larger, and potentially revolutionary, development: the city built of data, the crowdsourced metropolis.

What’s Your Problem? Some New Yorkers are kvetchier than others. A breakdown by zip code for one week in September.



As useful as 311 is to ordinary New Yorkers, the most intriguing thing about the service is all the information it supplies back to the city. Each complaint is logged, tagged, and mapped to make it available for subsequent analysis. In some cases, 311 simply helps New York respond more intelligently to needs that were obvious to begin with. Holidays, for example, spark reliable surges in call volume, with questions about government closings and parking regulations. On snow days, call volume spikes precipitously, which 311 anticipates with recorded messages about school closings and parking rules.

But the service also helps city leaders detect patterns that might otherwise have escaped notice. After the first survey of 311 complaints ranked excessive noise as the number one source of irritation among residents, the Bloomberg administration instituted a series of noise-abatement programs, going after the offenders whom callers complained about most often (that means you, Mister Softee). Similarly, clusters of public-drinking complaints in certain neighborhoods have led to crackdowns on illegal social clubs. Some of the discoveries have been subtle but brilliant. For example, officials now know that the first warm day of spring will bring a surge in use of the city’s chlorofluorocarbon recycling programs. The connection is logical once you think about it: The hot weather inspires people to upgrade their air conditioners, and they don’t want to just leave the old, Freon-filled units out on the street.

The 311 system has proved useful not just at detecting reliable patterns but also at providing insights when the normal patterns are disrupted. Clusters of calls about food-borne illness or sanitary problems from the same restaurant now trigger a rapid response from the city’s health department. And during emergencies, callers help provide real-time insight into what’s really happening. “When [New York Yankees pitcher] Cory Lidle crashed his plane into a building on the Upper East Side, we had a bulletin on all of our screens in less than an hour explaining that it was not an act of terrorism,” Morrisroe says. After US Airways flight 1549 crash-landed in the Hudson in 2009, a few callers dialed 311 asking what they should do with hand luggage they’d retrieved from the river. “We have lots of protocols and systems in place for emergencies like plane crashes,” Morrisroe explains, “but we’d never thought about floating luggage.” This is the beauty of 311. It thrives on the quotidian and predictable—the school-closing queries and pothole complaints—but it also plays well with black swans.

A data-driven approach to urban life makes sense, because cities are in many respects problems of information management. But the problems take various forms, depending on whether you confront them as a public agency or an ordinary citizen. Governments want to know where the messes are so they can prioritize cleanups. But for city dwellers, the challenge takes a different shape, because we need to know which resource we should use to satisfy our present need. Transportation is a classic example. A pedestrian standing at any intersection in Manhattan has at least four modes of transportation to choose from: cab, bus, subway, or foot. In some cases, there are dozens of bus and subway lines within a few blocks and hundreds of taxis. Each is a potential data point—the F train that’s 12 minutes behind schedule, the six cabs looking for fares just around the corner.

One way or another, that kind of data is going to be available and flowing through our mobile devices in the near future. When the city’s Taxi and Limousine Commission installed television screens and credit card machines in all taxis, they also installed GPS devices that communicate vast amounts of information back to the TLC. “There are 13,000 cabs pinging back data on location, travel speeds, whether they have customers,” says Carole Post, the new commissioner of New York’s Department of Information Technology and Telecommunications. “The TLC is mapping where cabs are needed in real time.” Combine that data with live transit information—and even Yelp-style reviews of the most interesting streets for window-shopping—and the decision of how to get from point X to point Y becomes far more interesting. In other words, 311 is just the beginning: As technologies evolve, all this pooling and sharing and analysis of data will allow cities to get increasingly sophisticated in how they solve urban problems.

Several promising startups—some venture-funded, others nonprofit—have begun to explore and, in some cases, expand on the 311 mission. A service called SeeClickFix lets users report open fire hydrants, dangerous intersections, threatening tree limbs, and the like. (A similar service, FixMyStreet, launched in the UK several years ago.) In proper Web 2.0 fashion, all reports are visible to the community, and other members can vote to endorse the complaints. Another startup, BlockChalk, has released an iPhone app that uses GPS data to let users create public notes tagged to specific locations. CitySourced, an angel-backed startup, has partnered with the city of San Jose to serve as a high tech frontend for its 311 system. A New York-based site called UncivilServants collects reports and photos of government workers abusing parking rules around the city and ranks the top offenders by department. (The worst abuser, by a wide margin, is the NYPD.)

By making all complaints and queries public, these services let ordinary people detect emergent patterns as readily as civil servants can. To date, New York’s 311 has been reluctant to share specific call records with the general public, but Post says it plans to open up more. “We tend to be conservative about exposing data,” she says. “There’s a legitimate concern about false claims—restaurants calling in to report rats in a competitor’s kitchen. You want to preserve the innocent-until-proven-guilty assumption. But we believe there’s an enormous amount of data where the only party that could be perceived to be ’scarlet-lettered’ is the city: the potholes and graffiti and overturned wastebaskets. I mean, if someone wants to call in a pothole that doesn’t exist—so be it. I guess they can.”

For New York, one of the first experiments in open 311 data has been the Street Conditions Observation Unit program. Scout, as it’s known, supplements citizen reports with information collected by 15 trained inspectors who drive every street in the city—some 6,374 road miles—recording and mapping each “quality of life” problem they encounter. Their findings are then fed into the 311 system as if they had been called in by residents. In the first three months of the program, the addition of Scout data led to a sixfold increase in graffiti reports.

Scout reports are available to the public on detailed maps showing when the issue was first reported and whether it has been resolved. But the limited nature of this data makes the maps far less useful than they could be. In the generally graffiti-free blocks around my house, for example, Scout reports just two “sunken catch basins” and a “failed street repair”—hardly a thorough or useful accounting of what the city (or my neighbors and I) should be trying to fix. The rest of the information remains trapped somewhere in the 311 databases—along with all the other databases maintained by the city. Post says the Scout maps are just the beginning and promises to overlay extensive quality-of-life data on them in the near future.

But even a city government like Bloomberg’s, which prides itself on entrepreneurial flair, needs to recognize the limits of its capacity to innovate. For every promising Scout map, there are hundreds of ideas for interesting civic apps lurking in the minds of citizens. (I myself am cofounder of a hyperlocal news platform called Outside.in.) To tap that energy, New York has sponsored an annual competition called NYC BigApps, modeled after an earlier program in Washington, DC. Participants design and submit web or mobile apps that draw on information stored in the city’s Data Mine, which encompasses hundreds of machine-readable databases, including a sliver of 311 information. The first BigApps winners, announced in early 2010, were awarded cash prizes of up to $5,000 and a meal with the mayor. One winner, Taxihack, allowed users to post reviews of individual cabs and their drivers. The grand-prize winner, WayFinder NYC, superimposes directions to nearby subway stations over photos that users take on their Android phones.

BigApps represents a new way of imagining the relationship between government and the private sector. When Al Gore set out to “reinvent government” as vice president, his solutions were, almost without exception, inward-facing: trimming red tape, encouraging cross-departmental collaboration. What contests like BigApps suggest is a more democratic idea—that some of the best ideas for government are likely to come from outside the public sector. (This is not to be confused with government contracting, in which companies tend to implement government-driven ideas with government-caliber inefficiency.)

But drawing on that outside intelligence will mean changing the way city governments do business. Startups can build applications far more quickly and cheaply than a public agency can, but the city still needs to think fast enough to ask for them—and to integrate them into the way municipalities run. After all, private-sector operations like SeeClickFix have a far easier time seeing and clicking than they do fixing. While any enterprising developer can build an app for reporting potholes, even the most well-funded company can’t go out and repair them.

SeeClickFix has begun offering free dashboards that local governments can use to view real-time statistics; the premium service bundles together user-generated reports and emails them to the appropriate authorities. It’s an intriguing hybrid model, in which the private sector creates interfaces for managing and mapping urban issues while the public sector continues its traditional role of resolving those issues. That link is obviously the crucial one for these new sites and apps, given how slowly the public sector tends to move in adopting new technologies. Why bother posting a complaint if authorities will never hear about it?

One promising route around this problem lies in Open311, a new project spearheaded by the OpenPlans organization. Right now, the Open311 database is used only in San Francisco and Washington, DC, and it encompasses just basic quality-of-life complaints: potholes, garbage, vandalism, and so on. But Open311 intends to eventually serve as a national, universal 311 that—unlike New York’s current system—can be added to and accessed by anyone. That means outside parties can develop new interfaces, both for reporting problems and for visualizing the data. “It’s designed to be a write-once, run-everywhere platform,” says OpenPlans program manager Philip Ashlock, using software terminology conventionally applied to operating systems. In the current 311 paradigm, each new city is the equivalent of a different OS, because the data is structured differently from place to place. But with Open311, an app built for San Francisco can be ported instantly to work in DC.

At OpenPlans’ surprisingly lavish headquarters just above Canal Street in Soho, one wall of the main floor is given over to a massive bookshelf mimicking the grid of Manhattan, complete with a diagonal line of shelves cutting across the wall Broadway- style and a green rectangle of real vegetation where Central Park should be. It’s the perfect visual metaphor for the organization: embedding books full of information inside the grid. After a quick tour of the office, Ashlock explains that 311 and open source software have a great deal in common. “In the past decade or so, the open source community has developed great tools that allow a distributed group of people to track and fix bugs in a complex software application,” he says. “We think we can learn a lot from those interfaces in solving the problems that cities face.” Put another way: There are a million stories in the big city, and some of them are bug reports. Indeed, some of them are literally bug reports, as in the case of New York’s recent bedbug epidemic, which you can track at bedbugregistry.com/metro/nyc.

Whether it happens through government services such as 311, private-sector startups, open source initiatives, or, most likely, a combination of all three, it’s clear that the 21st-century city is going to be immensely more efficient at solving clear, definable problems like graffiti and transportation routes. The question is whether these platforms can also address the more subtle problems of big-city neighborhoods—the sins of omission, the holes in the urban fabric where some crucial thread is missing. After all, when people gripe about their neighborhood, it’s usually not the potholes or clogged storm drains they have in mind; it’s the fact that there isn’t a dog run nearby or a playground or a good preschool with space available. “We’re really interested in tackling things that are problems not because they’re broken but because they don’t exist,” Ashlock says.

And indeed, it’s not hard to imagine ways that existing data sources could be used to fill holes like this. For instance, a neighborhood with a perennial cluster of booked cabs, according to the TLC reports, could be made a top candidate for additional bus lines. The best example of this to date is a pilot program in Brooklyn sponsored by OpenPlans that scouted areas needing bike racks by encouraging people to “take pictures of places where there are bikes locked up to every object in sight—to show the demand.” By tapping a community—big-city bicyclists—that is already passionate about its place in the urban fabric, OpenPlans hopes to teach users some of the power of this form of community-bug reporting. Ben Berkowitz, CEO of SeeClickFix, likes to say that “potholes are the gateway drug for civic engagement.”1 If OpenPlans has its way, it’ll be true for bike racks, too.

Contributing editor Steven Johnson (stevenbjohnson@stevenbjohnson.com) is the author of Where Good Ideas Come From, published in October by Riverhead.

Note 1. The original version of this story attributed this quote to Philip Ashlock, when in fact he was quoting Berkowitz.

Original Page: http://www.wired.com/magazine/2010/11/ff_311_new_york/all/1

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Mapping Business Models (a Knowledge Game) « Business Model Alchemist

Mapping Business Models (a Knowledge Game)

businessmodelalchemist.com | Jan 26th 2010

Mapping out a business model with a group of people is like playing a game. That’s what I came to realize when my friend and leading visual thinker, Dave Gray, introduced me to his new project called Knowledge Games.

I was instantly fascinated by the project, because it is extremely relevant for anybody who wants to understand how creative work is starting to be organized in today’s organizations. Yet, most interestingly, the Knowledge Games project is utterly practical, since it aims to outline a series of games designed to help you get more innovative, creative results in your work.

The authors of the project, Dave Gray, Sunni Brown, and James Macanufo are on the best path towards creating the next reference guide for the creative business professional and business innovator. The metaphor of games refers to the most natural of human mechanisms of exploring the world: games & play. And what could be more important than exploration when it comes to defining strategy and business models in a competitive environment characterized by volatility, unknowns and constant change:

Games come naturally to human beings. Playing a game is a way of exploring the world, a form of structured play, a natural learning activity that’s deeply tied to growth. Games can be fun and entertaining, but games can have practical benefits too.

When Dave asked me to formulate the usage of the Business Model Canvas as a Knowledge Game I was immediately hooked. Here is the blogpost I wrote for the Knowledge Games project (check out the original post):

Objective of Play: Visualize a business model idea or an organization’s current and/or future business model in order to create a shared understanding and highlight key drivers.

Number of Players: 1-6 (depending on the objective). Works well individually to quickly sketch out and think through a business model idea or an interesting business portrayed in the press. To map an organization’s existing and/or future business model you should work in groups. The more diverse the group of players (marketing, operations, finance, IT, etc.), the more accurate the picture of the business model will be.

Duration of Play: Anywhere between 15 minutes for individual play (napkin sketch of a business model idea), half a day (to map an organization’s existing business model), and two days (to develop a future business model or start-up business model, including business case).

Material required: Mapping business models works best when players work on a poster on the wall. To run a good session you will need the following:

  • A very large print of a Business Canvas Poster. Ideally B0 format (1000mm × 1414mm or 39.4in × 55.7in)
  • Tons of sticky notes (i.e. post-it® notes) of different colors
  • Flip chart markers
  • Camera to capture results
  • The facilitator of the game might want to read an outline of the Business Model Canvas (free 72 page preview of Business Model Generation

See Video: http://static.slidesharecdn.com/swf/ssplayer2.swf?doc=businessmodelcanvasposter-100119085835-phpapp02&stripped_title=business-model-canvas-poster

How to Play: There are several games and variations you can play with the Business Model Canvas Poster. Here we describe the most basic game, which is the mapping of an organization’s existing business model (steps 1-3), it’s assessment (step 4), and the formulation of improved or potential new business models (step 5). The game can easily be adapted to the objectives of the players.

  1. A good way to start mapping your business model is by letting players begin to describe the different customer segments your organization serves. Players should put up different color sticky notes on the Canvas Poster for each type of segment. A group of customers represents a distinct segment if they have distinct needs and you offer them distinct value propositions (e.g. a newspapers serves readers and advertisers), or if they require different channels, customer relationships, or revenue streams.
  2. Subsequently, players should map out the value propositions your organization offers each customer segment. Players should use same color sticky notes for value propositions and customer segments that go together. If a value proposition targets two very different customer segments, the sticky note colors of both segments should be used.
  3. Then players should map out all the remaining building blocks of your organization’s business model with sticky notes. They should always try to use the colors of the related customer segment.
  4. When the players mapped out the whole business model they can start assessing its strength and weaknesses by putting up green (strength) and red (weakness) sticky notes alongside the strong and weak elements of the mapped business model. Alternatively, sticky notes marked with a “+” and “-” can be used rather than colors.
  5. Based on the visualization of your organization’s business model, which players mapped out in steps 1-4, they can now either try to improve the existing business model or generate totally new alternative business models. Ideally players use one or several additional Business Model Canvas Posters to map out improved business models or new alternatives.

Strategy: This is a very powerful game to start discussing an organization’s or a department’s business model. Because the players visualize the business model together they develop a very strong shared understanding of what their business model really is about. One would think the business model is clear to most people in an organization. Yet, it is not uncommon that mapping out an organization’s business model leads to very intense and deep discussions among the players to arrive at a consensus on what an organization’s business model really is.

The mapping of an organization’s existing business model, including its strengths and weaknesses, is an essential starting point to improve the current business model and/or develop new future business models. At the very least the game leads to a refined and shared understanding of an organization’s business model. At its best it helps players develop strategic directions for the future by outlining new and/or improved business models for the organization.

Variations: The Business Model Canvas Tool can be the basis of several other games, such as games to:

  • generate a business model for a start-up organization
  • develop a business model for a new product and/or service
  • map out the business models of competitors, particularly insurgents with new business models
  • map out and understand innovative business models in other industries as a source of inspiration
  • communicate business models across an organization or to investors (e.g. for start-ups)

Original Page: http://www.businessmodelalchemist.com/2010/01/mapping-business-models-a-knowledge-game.html

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The Business Model Canvas - Nonlinear Thinking

The Business Model Canvas

nonlinearthinking.typepad.com | Jul 5th 2008

Alexander Osterwalder continues to deliver some of the very best thinking about business models.  He has recently completed some posts for his blog, Business Model Design and Innovation, that codify and condense many of the concepts that have been added to the literature on business model innovation in recent years.  I am providing this extract of his most recent post as an example of his thinking and one that provides a very clean and concise definition of a business model.

A business model is nothing else than a representation of how an organization makes (or intends to make) money. Based on an extensive literature research and real-world experience we define a business model as consisting of 9 building blocks that constitute the business model canvas :

1. The value proposition of what is offered to the market;

2. The segment(s) of clients that are addressed by the value proposition;

3. The communication and distribution channels to reach clients and offer them the value 

proposition;

4. The relationships established with clients;

5. The key resources needed to make the business model possible;

6. The key activities necessary to implement the business model;

7. The key partners and their motivations to participate in the business model;

8. The revenue streams generated by the business model (constituting the revenue model);

9. The cost structure resulting from the business model.

Alex's nine building blocks are illustrated in the graphic below.

Original Page: http://nonlinearthinking.typepad.com/nonlinear_thinking/2008/07/the-business-model-canvas.html

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Business Model Canvas Ipad App

Business Model Toolbox

businessmodelgeneration.com

From the Makers of...

Business Model Generation: A handbook for visionaries, game changers, and challengers. A worldwide best-seller now translated into 13 languages.

Learn More

Original Page: http://www.businessmodelgeneration.com/ipad/siteb.php?q=1

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Business Model Canvas - Wikipedia, the free encyclopedia

Business Model Canvas

en.wikipedia.org | Dec 25th 2010 3:46 AM

The Business Model Canvas is a strategic management tool, which allows us to develop and sketch out new or existing business models. It is a visual template pre-formatted with the nine blocks of a business model.[1].

The Business Model Canvas was initially proposed by Alexander Osterwalder[2] based on his earlier work on Business Model Ontology.[3]

The Business Model Canvas

Formal descriptions of the business become the building blocks for its activities. Many different business conceptualizations exist; Osterwalder's work and thesis (2010[1], 2004[3]) propose a single reference model based on the similarities of a wide range of business model conceptualizations. With his business model design template, an enterprise can easily describe their business model

  • Infrastructure
    • Key Activities: The activities necessary to execute a company's business model.
    • Key Resources: The resources that are necessary to create value for the customer.
    • Partner Network: The business alliances which complement other aspects of the business model.
  • Offering
    • Value Proposition: The products and services a business offers. Quoting Osterwalder (2004), a value proposition "is an overall view of .. products and services that together represent value for a specific customer segment. It describes the way a firm differentiates itself from its competitors and is the reason why customers buy from a certain firm and not from another."
  • Customers
    • Customer Segments: The target audience for a business' products and services.
    • Channels: The means by which a company delivers products and services to customers. This includes the company's marketing and distribution strategy.
    • Customer Relationship: The links a company establishes between itself and its different customer segments. The process of managing customer relationships is referred to as customer relationship management.
  • Finances
    • Cost Structure: The monetary consequences of the means employed in the business model. A company's DOC.
    • Revenue Streams: The way a company makes money through a variety of revenue flows. A company's income.

Application

The Business Model Canvas can be printed out on a large surface so groups of people can jointly start sketching and discussing business model elements with post-it note notes or board markers. It is a hands-on tool that fosters understanding, discussion, creativity, and analysis.

See also

Further reading

  • 2010. Business Model Generation, A. Osterwalder, Yves Pigneur, Alan Smith, and 470 practitioners from 45 countries, self published.

References

  1. ^ a b Business Model Generation, A. Osterwalder, Yves Pigneur, Alan Smith, and 470 practitioners from 45 countries, self published, 2010
  2. ^ The Business Model Canvas nonlinearthinking.typepad.com, July 05, 2008. Accessed Feb 25, 2010.
  3. ^ a b Alexander Osterwalder (2004). The Business Model Ontology - A Proposition In A Design Science Approach. PhD thesis University of Lausanne.

External links

Original Page: http://en.wikipedia.org/wiki/Business_Model_Canvas

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Hippos chase tourists in boat

Hey, check this out from CNN:
Hippos chase tourists in boat
http://ht.cdn.turner.com/cnn/big/bestoftv/2011/02/09/exp.am.hippo.chase.cnn.i...


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Tuesday, February 8, 2011

Ken Olsen, cofounder of Digital passes 2/6/2011

Ken Olsen, cofounder of Digital passes 2/6/2011 - http://h30507.www3.hp.com/t5/The-Next-Big-Thing/Ken-Olsen-cofounder-of-Digital-passes-2-6-2011/ba-p/87753

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