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1© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Barcelona, Spain • October 29-31, 2016
© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Marshall Van Alstyne
Boston University
mva@bu.edu
InfoEcon@twitter.com
Platform Shift: How New Biz
Models Are Changing the Shape
of Industry
Seth Benzell
Guillermo Lagarda
Geoffrey Parker
2© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
@InfoEcon
Firm Year Empl. Mkt Cap
BMW1916 116,000 $55B
Uber 2009 7,000 $60B
Marriott 1927 200,000 $35B
Airbnb 2008 5,000$21B
Walt Disney 1923 185,000 $179B
Facebook 2004 12,691 $410B
Kodak 1888 145,000 $30B (heyday)
Instagram 2010 13 $1B (acquisition)
3© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
The transition to Internet era firms resembles the transition
to Industrial era firms … but for the opposite reason
@InfoEcon
4© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
InterBrand: 2016 Global Brands @InfoEcon
5© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Dominated by Platforms
6© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Platforms are overtaking energy and banking
Source: Visualcapitalist.com, Bloomberg
7© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
The Product Business
Model is Broken
© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
8© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
The Product Business Model is Broken
In 2009, BlackBerry had nearly 50% market share in U.S.
operating systems, according to IDC. Now: 2.1%
50%
40%
30%
20%
10%
0%
9© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
1980-2000 Microsoft Platform Beats Apple Product
Apple launched the PC revolution but Microsoft licensed
widely, built a huge developer ecosystem, 6X larger.
10© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
InterBrand: 2016 Global Brands @InfoEcon
11© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Moovel: Daimler’s mobility services ecosystem
• One stop shop for urban
mobility
• Compare transport time &
cost across bus, train, taxi,
bike & walk
• Book & pay Car2Go,
MyTaxi, Flinkster
• CROOVE is Airbnb for
Mercedes Benz & others
• Valet pickup / dropoff,
insurance by Allianz
Gathers information and community in a single place
12© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Does having an API Strategy matter?
© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
13© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Information cost relevance in construction
Planning
Contractor
Labor
Materials
Supplier
▪ Supplier A represent a small
fraction of total material costs
e.g. 2-4% in construction
▪ Information costs of search,
design, planning, changes,
errors/clashes and coordination
can easily sum to 5-25% or more
▪ Even doubling A’s share will not
overtake share that a platform
can capture working on
information costs
Data source: source: International Facility Management Association, IFMA
Cost of search,
planning, design,
compliance,
coordination,
changes/errors
Info
Non-Info
14© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Information cost relevance in construction
along entire lifecycle
Planning
Contractor
Labor
Materials
Savings from smart
facilities
management
Supplier
▪ Majority of maintenance works
are reactive
▪ The information costs for
maintenance and passive utility
management can easily sum to
10-20% or more
▪ Introducing predictive
maintenance and smart utility
management can have significant
effects
Data source: source: International Facility Management Association, IFMA
Utilities
Maintenance &
repair
Other
Search, planning,
design, compliance,
coordination,
changes/errors
Info
Non-Info
Info
15© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
API Economy Visualized: Amazon vs Walmart
Social media / web
Job search / work
E-commerce
Tools / cloud / big data
Payments
API Clusters
Messaging services
Source: Rahul Basole and Peter Evans,
with data from ProgrammableWeb,
Center for Global Enterprise, 2015
Enterprise / storage
Walmart
Amazon SNS
Alexa Web Inform
Amazon
Marketplac
e
Amazon
SimpleDB
Amazon
Product
Advertising
Amazon
CloudWatc
h
Amazon
Flexible
Amazon
Redshift
Amazon
SC2
Amazon S3 Amazon
Mechanical
Turk
Amazon
RDSAmazon
DynamoDB
Amazon Queue
Service
Walmart
Amazon
Companies
© 2017 Parker & Van AlstyneTwitter: @InfoEcon:: marshall@mit.edu :: PlatformEconomics.org
Who is Getting More 3rd Party Value Add?
Source: P. Evans, CGE; CB Insights, Capital IQ, CrunchBase, 2015
17© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Amazon growth over 10 years 2491% vs.
Walmart (48%), Target (23%), Macy’s (-12%), Best Buy (-31%)
Logistics & supply chain squeezing have limits.
External value add is much less limited.
18© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Idea: Business Agility Correlates with…
• Company cultural drivers such as decentralized decisions,
shared purpose, and ‘rewarding’ initiative
• IT assets such as APIs, SDKs, and templates
• Processes such as code reuse and ability to experiment
and fail fast
19© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Idea: Firm Performance Is Driven By…
• Sales & Net Income increase from B2C APIs
• Operational efficiency increase from internal APIs
• Cost reduction and supply chain efficiency from B2B APIs
• Market Cap gains from agility and from APIs
BizBiz Cust
Upstrea
m
APIs
Dnstream
APIs
Internal
APIs
B2
B
B2
C
20© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Empirical Strategy
Questions on:
❑ API Strategy
❑ Time to spot trends
❑ Parallel vs Serial decisions
❑ Risk taking culture
❑ Reuse
❑ …
❑ Experimentation
➔ Business Agility Index (BAI)
Data from:
❑ 239 API using firms including
usage intensity
❑ 132 Firms’ financials from
Compustat, Orbis, Hoovers
❑ 4 to 1 match of non-API adopting
firms
❑ Supplemental research on
developer portals (e.g. Wayback
Machine)
➔ Rigorous econometric testing
Survey of 500 Firms Match Firms’ API use to $$$
21© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Industries vary on API use
Have API Strategy
No API Strategy
22© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Monetization strategies
23© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Our IT Dept Heavily Reuses Assets
Have API Strategy
No API Strategy
24© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Our IT Dept is Unparalleled in Ability to Fail Fast & Experiment
Have API Strategy
No API Strategy
API adopters spend less time on maintenance and more on innovation
25© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Customer Satisfaction is Much Higher Than Our Top Competitor
Have API Strategy
No API Strategy
26© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Firms experience Net Income gains.
Large Market Cap gains of 2-10% after API adoption
Log net income grouped by adoption date
Source: Benzell, Lagarda, Van Alstyne (2016) “The Role of APIs in the Firm Performance” using Apigee data
27© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Where to begin?
Firms starting with Internal APIs showed earliest gains
Source: Benzell, Lagarda, Van Alstyne (2016) “The Role of APIs in the Firm Performance” using Apigee data
BizBiz Cust
Upstrea
m
APIs
Dnstream
APIs
Internal
APIs
B2
B
B2
C
Biz
28© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
How are these Related?
1: Each side attracts the Other
2: They’re all outside – provide external ecosystem
Uber Riders
eBay Buyers
Xbox Gamers
Amex CardHolders
Aga Khan Patients
YouTube Viewers
AirBnb Renters
Tesla Car Drivers
Mechanical Turk Jobs
LinkedIn Employees
Upwork Freelancers
Android Users
Uber Drivers
eBay Sellers
Xbox Developers
Amex Merchants
Aga Khan Doctors
YouTube Videographers
AirBnb Rooms
Tesla Charge Stations
Mechanical Turk Laborers
LinkedIn Employers
Upwork Projects
Android Developers
29© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Network Effects: Users create value for Users
Source: Albert Cañigueral “Platforms are Eating the World” slideshare.net
@InfoEcon
30© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
The giants of the Internet era resemble those of
the Industrial era but for the opposite reason.
© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
31© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Giants of Supply Side Economies of scale
Standard Oil
1909
Acklam Ironworks
1924
Vanderbilt
Colossus of
(Rail) Roads
Electric
Dynamo
1893
Ford Model T
1908
32© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Giants of Demand Side Economies of scale
Social Networks
Windows OS Mobile
Merchant Mkts
33© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
In any market with network effects, the focus of
attention must shift from inside to outside the firm.
Reason: You can’t scale network effects inside as
easily as outside.
@InfoEcon
34© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Value creation shifts from internal to external
servicing
What Changes :: Operations & Logistics
© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
35© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Value creation inside versus outside
36© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Value creation inside versus outside
STEP
1
STEP
2
STEP
3
STEP
…
STEP
N
37© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Value creation inside versus outside
DEMAND
PLATFORM
SUPPLY
38© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Business Models Can Overlap
Platforms Scale More than Pipes
Dell
Coca Cola
Apple
Samsung
Airbnb
Uber
39© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Founded in 2008, Airbnb operates at global scale:
1M+ listings, 34,000 cities, 180 countries
Identify spare capacity, scale across boundaries
Paris
5,692 listings40,000 listings 8,105 listings
Berlin Sydney
Source: http://tomslee.net/airbnb-data, 2015Courtesy Peter Evans © 2016
40© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
41© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
``In 2015, Uber, the world’s
largest taxi company owns no
vehicles, Facebook the world’s
most popular media owner creates
no content, Alibaba the most
valuable retailer has no inventory,
and Airbnb the world’s largest
hotelier owns no real estate.’’
Tom Goodwin, Sr. VP of Strategy Havas Media
© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
42© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Platforms Open Themselves to Third Party
Contributions
What Changes :: R&D and Innovation
© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
43© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
A platform is a system that
can be… adapted to
countless needs and
niches that the platform’s
original developers could
not possibly have
contemplated…”
Mark Andreessen: Venture Capitalist, Netscape
Founder, Board HP, eBay© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
44© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
It’s Working when Users do Something You Didn’t Expect
Hay Carrier
RacecarFlour Mill
Ford Model T
45© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
It’s Working when Users do Something You Didn’t Expect
Snowmobile
Goat
Carrier
Sawmill
Mobile
Church
46© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
− Open to .com”
Open to developers −
The Rise & Ignominius Fall of MySpace – Business Week 2011
Does Openness Work?
47© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
The Rise & Ignominius Fall of MySpace – Business Week 2011
‘‘We tried to create every feature in the world and said,
‘O.K., we can do it, why should we let a third party do
it?’ ‘’ says (MySpace cofounder) DeWolfe.
‘’We should have picked 5 to 10 key features that we
totally focused on and let other people innovate on
everything else.’’
Does Openness Work?
48© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Most firms can only concentrate
on most valuable apps
Profits increase when others add
to platform’s Long Tail
You don’t need to
own this
Platforms Get Enormous Value from 3rd Party Developers
49© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
▪ Consider product innovation
alone
▪ Harnessing 3rd party
resources, innovation occurs
at a higher combined rate
▪ Even if a platform starts
behind, its value overtakes
the product leader
▪ Shed costs, keep 30% gains!
Why Platforms Beat Products
Time
ValueAdded
50© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
▪ Finance
Shareholder Value → Stakeholder Value
Incorporate network effects
▪ Human Resources
Internal Employees →
External communities
▪ R&D
Experts & Specialized departments →
Crowdsourcing & Open Innovation
▪ Strategy
Entry Barriers & Inimitable Resources →
Ecosystem husbandry & Long Tail
▪ Marketing
Push → Pull, Outbound → Inbound
▪ IT
Back Office (ERP) → Front Office
(CRM) → Out-of-Office (Social & Big
Data)
▪ Operations & Logistics
Uber: biggest taxi company, no taxis,
Airbnb (biggest accommodations but
no real estate), Facebook (biggest
media firm but creates no content),
Alibaba (biggest merchant but has no
inventory)
Network Effects & Inverting the Firm Changes… @InfoEcon
51© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Products To Platforms:
1-Open Supply Chain
2 – Add Information & Communities
© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
52© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Traditional Supply Chain
Supply
$ $
Assemble
$
Manufacture Retail
(1) Value accumulates from stage to stage
(2) Standard linear value chain
(3) Logistics optimize stuff (usu. not incentives)
(4) No network effects
53© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Traditional Supply Chain
Biz
$ $
Biz
$
Biz Cust
Potential B2B PlatformPotential B2C Platform
54© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Creating a B2C Platform
BizBiz Cust
Potential B2C Platform
Biz
Biz Cust
1. Make your business a platform by facilitating interactions across your systems.
55© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Creating a B2C Platform
Biz Cust
Biz
BizBiz CustCust
1. Make your business a platform by facilitating interactions across your systems.
2. Expand the biz partners who can reach your customers.
3. Expand the customers who can reach your suppliers.
4. Foster network effects with high quality interactions.
56© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Example: Converting a Product to
Platform
© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
57© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com © 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
• Incandescent light bulb, Joseph Swan
• Edison patent filed 1878
• Same bulb 137 years later
• Energy efficiency < 5%
• Retail price $0.40
58© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com © 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
• Blue Ocean product strategy
• Compact fluorescent
efficiency 11%
• LED luminous efficiency 15%
• Multicolor programmable
• Retail price $4 - $40
59© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
IoT Platform Strategy: Data, Sensors, Open Ecosystem
• Offer Wii, Bluetooth, or Cloud
• Security alert – intruder or
toddler wondering onto street
• Bundle energy demand, sell
demand management to utility
• Time for grandma’s medication
• Voice Commands:
o “I’ve fallen and I can’t get up”
o Remind John to take out garbage
Can give away $4-40 bulbs and charge for servicesTry selling $4 bulb when competitor gives away $40 bulb
freePlatforms are the business models for IoT
60© 2016 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
• Washers by softener and soap
• Printers buy paper and ink
• Espresso machines buy coffee and milk
• Thermostats buys energy
Sanjay Sarma, codeveloper many RFID standards
© 2016 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
When Things Buy Things – API Connectivity Explodes
61© 2016 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Marketing changes: point of interception is
not the person but the API. Sell laundry
or printing or coffee as a service
Machine changes: sell the device or enable
the plug-in and sell the service
Sanjay Sarma, codeveloper many RFID standards
© 2016 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
When Things Buy Things – API Connectivity Explodes
62© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
What’s Next?
© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
63© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Car as Platform
64© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Block Chain & Finance as Platform
$ €
¥ £€ $ ¥ £
€
65© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Architecture Information Modules as Platform
66© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
City as Platform
67© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Internet of Things as Platform
68© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Energy/Smart Grid as Platform
69© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Education as Platform
70© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Healthcare as Platform
71© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
1. Platforms beat products every time – faster innovation, value
proportional to use
2. Business models differ because network effects (i.e. demand
economies of scale) invert the firm, creating new monopolies
3. Information & Community are key resources
4. APIs are key. Relative to non-users, API users report:
a. Lower maintenance costs & more innovation
b. More ability to fail fast and experiment
c. Higher customer satisfaction
d. APIs predict a 2-10% increase in market cap!
@InfoEcon
72© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
@InfoEcon1. Introduction
2. Network Effects
3. Architecture
4. Disruption
5. Launch
6. Monetization
7. Openness
8. Governance
9. Metrics
10. Strategy
11. Policy
12. Future
Available on Amazon here.
73© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
THANK YOU
QUESTIONS & DISCUSSION
© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
mva@bu.edu
Twitter: @InfoEcon
Find research HERE. Find blog posts HERE.
MIT Initiative on the Digital Economy
74© 2013 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com © 2014 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Services
Protected by Credentialing, Complexity, Regulation & Hard Assets
Consumer
Goods
Home Goods Automotive
Conslt: Eden MacC
Labor : oDesk
$$$: eToro, Kickstr
News : Twitter
Insurance : ?
Law : LegalZoom
Education : edX
Art & Craft : Etsy
Apparel:Lee & Fung
Shirts : Threadless
Shoes : Nike Fuel
Watches : Apple
Thermostat : Nest
Lighting : Philips
Appliance : Haier
Rides : Uber
Cars : 3d Printed
Cars : Mercedes
Info & Tech
Games : Nintendo
Cloud : AWS
Search : Google
OS : MS Windows
Maps : Google APIs
PDF : Adobe
Movies : Netflix
75© 2013 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com © 2014 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
Food & Agri
Protected by Credentialing, Complexity, Regulation & Hard Assets
Crop Yield : IBM
Spices : McCormick
Energy &
Mining
Heavy Industry Government
Farming : eChoupal
Mining : Gold Corp
Utility : EnerNOC
Tractors : Hitachi
Engines : GE Predix City : Singapore
Medicine
Devices : Biomet
MRI : Cohealo
Healthcare:Harvard

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The Platform Revolution: How Networked Markets Are Transforming the Economy -- and How to Make Them Work for You

  • 1. 1© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Barcelona, Spain • October 29-31, 2016 © 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Marshall Van Alstyne Boston University mva@bu.edu InfoEcon@twitter.com Platform Shift: How New Biz Models Are Changing the Shape of Industry Seth Benzell Guillermo Lagarda Geoffrey Parker
  • 2. 2© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com @InfoEcon Firm Year Empl. Mkt Cap BMW1916 116,000 $55B Uber 2009 7,000 $60B Marriott 1927 200,000 $35B Airbnb 2008 5,000$21B Walt Disney 1923 185,000 $179B Facebook 2004 12,691 $410B Kodak 1888 145,000 $30B (heyday) Instagram 2010 13 $1B (acquisition)
  • 3. 3© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com The transition to Internet era firms resembles the transition to Industrial era firms … but for the opposite reason @InfoEcon
  • 4. 4© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com InterBrand: 2016 Global Brands @InfoEcon
  • 5. 5© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Dominated by Platforms
  • 6. 6© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Platforms are overtaking energy and banking Source: Visualcapitalist.com, Bloomberg
  • 7. 7© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com The Product Business Model is Broken © 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
  • 8. 8© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com The Product Business Model is Broken In 2009, BlackBerry had nearly 50% market share in U.S. operating systems, according to IDC. Now: 2.1% 50% 40% 30% 20% 10% 0%
  • 9. 9© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com 1980-2000 Microsoft Platform Beats Apple Product Apple launched the PC revolution but Microsoft licensed widely, built a huge developer ecosystem, 6X larger.
  • 10. 10© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com InterBrand: 2016 Global Brands @InfoEcon
  • 11. 11© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Moovel: Daimler’s mobility services ecosystem • One stop shop for urban mobility • Compare transport time & cost across bus, train, taxi, bike & walk • Book & pay Car2Go, MyTaxi, Flinkster • CROOVE is Airbnb for Mercedes Benz & others • Valet pickup / dropoff, insurance by Allianz Gathers information and community in a single place
  • 12. 12© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Does having an API Strategy matter? © 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
  • 13. 13© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Information cost relevance in construction Planning Contractor Labor Materials Supplier ▪ Supplier A represent a small fraction of total material costs e.g. 2-4% in construction ▪ Information costs of search, design, planning, changes, errors/clashes and coordination can easily sum to 5-25% or more ▪ Even doubling A’s share will not overtake share that a platform can capture working on information costs Data source: source: International Facility Management Association, IFMA Cost of search, planning, design, compliance, coordination, changes/errors Info Non-Info
  • 14. 14© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Information cost relevance in construction along entire lifecycle Planning Contractor Labor Materials Savings from smart facilities management Supplier ▪ Majority of maintenance works are reactive ▪ The information costs for maintenance and passive utility management can easily sum to 10-20% or more ▪ Introducing predictive maintenance and smart utility management can have significant effects Data source: source: International Facility Management Association, IFMA Utilities Maintenance & repair Other Search, planning, design, compliance, coordination, changes/errors Info Non-Info Info
  • 15. 15© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com API Economy Visualized: Amazon vs Walmart Social media / web Job search / work E-commerce Tools / cloud / big data Payments API Clusters Messaging services Source: Rahul Basole and Peter Evans, with data from ProgrammableWeb, Center for Global Enterprise, 2015 Enterprise / storage Walmart Amazon SNS Alexa Web Inform Amazon Marketplac e Amazon SimpleDB Amazon Product Advertising Amazon CloudWatc h Amazon Flexible Amazon Redshift Amazon SC2 Amazon S3 Amazon Mechanical Turk Amazon RDSAmazon DynamoDB Amazon Queue Service Walmart Amazon Companies
  • 16. © 2017 Parker & Van AlstyneTwitter: @InfoEcon:: marshall@mit.edu :: PlatformEconomics.org Who is Getting More 3rd Party Value Add? Source: P. Evans, CGE; CB Insights, Capital IQ, CrunchBase, 2015
  • 17. 17© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Amazon growth over 10 years 2491% vs. Walmart (48%), Target (23%), Macy’s (-12%), Best Buy (-31%) Logistics & supply chain squeezing have limits. External value add is much less limited.
  • 18. 18© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Idea: Business Agility Correlates with… • Company cultural drivers such as decentralized decisions, shared purpose, and ‘rewarding’ initiative • IT assets such as APIs, SDKs, and templates • Processes such as code reuse and ability to experiment and fail fast
  • 19. 19© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Idea: Firm Performance Is Driven By… • Sales & Net Income increase from B2C APIs • Operational efficiency increase from internal APIs • Cost reduction and supply chain efficiency from B2B APIs • Market Cap gains from agility and from APIs BizBiz Cust Upstrea m APIs Dnstream APIs Internal APIs B2 B B2 C
  • 20. 20© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Empirical Strategy Questions on: ❑ API Strategy ❑ Time to spot trends ❑ Parallel vs Serial decisions ❑ Risk taking culture ❑ Reuse ❑ … ❑ Experimentation ➔ Business Agility Index (BAI) Data from: ❑ 239 API using firms including usage intensity ❑ 132 Firms’ financials from Compustat, Orbis, Hoovers ❑ 4 to 1 match of non-API adopting firms ❑ Supplemental research on developer portals (e.g. Wayback Machine) ➔ Rigorous econometric testing Survey of 500 Firms Match Firms’ API use to $$$
  • 21. 21© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Industries vary on API use Have API Strategy No API Strategy
  • 22. 22© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Monetization strategies
  • 23. 23© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Our IT Dept Heavily Reuses Assets Have API Strategy No API Strategy
  • 24. 24© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Our IT Dept is Unparalleled in Ability to Fail Fast & Experiment Have API Strategy No API Strategy API adopters spend less time on maintenance and more on innovation
  • 25. 25© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Customer Satisfaction is Much Higher Than Our Top Competitor Have API Strategy No API Strategy
  • 26. 26© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Firms experience Net Income gains. Large Market Cap gains of 2-10% after API adoption Log net income grouped by adoption date Source: Benzell, Lagarda, Van Alstyne (2016) “The Role of APIs in the Firm Performance” using Apigee data
  • 27. 27© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Where to begin? Firms starting with Internal APIs showed earliest gains Source: Benzell, Lagarda, Van Alstyne (2016) “The Role of APIs in the Firm Performance” using Apigee data BizBiz Cust Upstrea m APIs Dnstream APIs Internal APIs B2 B B2 C Biz
  • 28. 28© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com How are these Related? 1: Each side attracts the Other 2: They’re all outside – provide external ecosystem Uber Riders eBay Buyers Xbox Gamers Amex CardHolders Aga Khan Patients YouTube Viewers AirBnb Renters Tesla Car Drivers Mechanical Turk Jobs LinkedIn Employees Upwork Freelancers Android Users Uber Drivers eBay Sellers Xbox Developers Amex Merchants Aga Khan Doctors YouTube Videographers AirBnb Rooms Tesla Charge Stations Mechanical Turk Laborers LinkedIn Employers Upwork Projects Android Developers
  • 29. 29© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Network Effects: Users create value for Users Source: Albert Cañigueral “Platforms are Eating the World” slideshare.net @InfoEcon
  • 30. 30© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com The giants of the Internet era resemble those of the Industrial era but for the opposite reason. © 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
  • 31. 31© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Giants of Supply Side Economies of scale Standard Oil 1909 Acklam Ironworks 1924 Vanderbilt Colossus of (Rail) Roads Electric Dynamo 1893 Ford Model T 1908
  • 32. 32© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Giants of Demand Side Economies of scale Social Networks Windows OS Mobile Merchant Mkts
  • 33. 33© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com In any market with network effects, the focus of attention must shift from inside to outside the firm. Reason: You can’t scale network effects inside as easily as outside. @InfoEcon
  • 34. 34© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Value creation shifts from internal to external servicing What Changes :: Operations & Logistics © 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
  • 35. 35© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Value creation inside versus outside
  • 36. 36© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Value creation inside versus outside STEP 1 STEP 2 STEP 3 STEP … STEP N
  • 37. 37© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Value creation inside versus outside DEMAND PLATFORM SUPPLY
  • 38. 38© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Business Models Can Overlap Platforms Scale More than Pipes Dell Coca Cola Apple Samsung Airbnb Uber
  • 39. 39© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Founded in 2008, Airbnb operates at global scale: 1M+ listings, 34,000 cities, 180 countries Identify spare capacity, scale across boundaries Paris 5,692 listings40,000 listings 8,105 listings Berlin Sydney Source: http://tomslee.net/airbnb-data, 2015Courtesy Peter Evans © 2016
  • 40. 40© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
  • 41. 41© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com ``In 2015, Uber, the world’s largest taxi company owns no vehicles, Facebook the world’s most popular media owner creates no content, Alibaba the most valuable retailer has no inventory, and Airbnb the world’s largest hotelier owns no real estate.’’ Tom Goodwin, Sr. VP of Strategy Havas Media © 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
  • 42. 42© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Platforms Open Themselves to Third Party Contributions What Changes :: R&D and Innovation © 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
  • 43. 43© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com A platform is a system that can be… adapted to countless needs and niches that the platform’s original developers could not possibly have contemplated…” Mark Andreessen: Venture Capitalist, Netscape Founder, Board HP, eBay© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
  • 44. 44© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com It’s Working when Users do Something You Didn’t Expect Hay Carrier RacecarFlour Mill Ford Model T
  • 45. 45© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com It’s Working when Users do Something You Didn’t Expect Snowmobile Goat Carrier Sawmill Mobile Church
  • 46. 46© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com − Open to .com” Open to developers − The Rise & Ignominius Fall of MySpace – Business Week 2011 Does Openness Work?
  • 47. 47© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com The Rise & Ignominius Fall of MySpace – Business Week 2011 ‘‘We tried to create every feature in the world and said, ‘O.K., we can do it, why should we let a third party do it?’ ‘’ says (MySpace cofounder) DeWolfe. ‘’We should have picked 5 to 10 key features that we totally focused on and let other people innovate on everything else.’’ Does Openness Work?
  • 48. 48© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Most firms can only concentrate on most valuable apps Profits increase when others add to platform’s Long Tail You don’t need to own this Platforms Get Enormous Value from 3rd Party Developers
  • 49. 49© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com ▪ Consider product innovation alone ▪ Harnessing 3rd party resources, innovation occurs at a higher combined rate ▪ Even if a platform starts behind, its value overtakes the product leader ▪ Shed costs, keep 30% gains! Why Platforms Beat Products Time ValueAdded
  • 50. 50© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com ▪ Finance Shareholder Value → Stakeholder Value Incorporate network effects ▪ Human Resources Internal Employees → External communities ▪ R&D Experts & Specialized departments → Crowdsourcing & Open Innovation ▪ Strategy Entry Barriers & Inimitable Resources → Ecosystem husbandry & Long Tail ▪ Marketing Push → Pull, Outbound → Inbound ▪ IT Back Office (ERP) → Front Office (CRM) → Out-of-Office (Social & Big Data) ▪ Operations & Logistics Uber: biggest taxi company, no taxis, Airbnb (biggest accommodations but no real estate), Facebook (biggest media firm but creates no content), Alibaba (biggest merchant but has no inventory) Network Effects & Inverting the Firm Changes… @InfoEcon
  • 51. 51© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Products To Platforms: 1-Open Supply Chain 2 – Add Information & Communities © 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
  • 52. 52© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Traditional Supply Chain Supply $ $ Assemble $ Manufacture Retail (1) Value accumulates from stage to stage (2) Standard linear value chain (3) Logistics optimize stuff (usu. not incentives) (4) No network effects
  • 53. 53© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Traditional Supply Chain Biz $ $ Biz $ Biz Cust Potential B2B PlatformPotential B2C Platform
  • 54. 54© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Creating a B2C Platform BizBiz Cust Potential B2C Platform Biz Biz Cust 1. Make your business a platform by facilitating interactions across your systems.
  • 55. 55© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Creating a B2C Platform Biz Cust Biz BizBiz CustCust 1. Make your business a platform by facilitating interactions across your systems. 2. Expand the biz partners who can reach your customers. 3. Expand the customers who can reach your suppliers. 4. Foster network effects with high quality interactions.
  • 56. 56© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Example: Converting a Product to Platform © 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
  • 57. 57© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com © 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com • Incandescent light bulb, Joseph Swan • Edison patent filed 1878 • Same bulb 137 years later • Energy efficiency < 5% • Retail price $0.40
  • 58. 58© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com © 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com • Blue Ocean product strategy • Compact fluorescent efficiency 11% • LED luminous efficiency 15% • Multicolor programmable • Retail price $4 - $40
  • 59. 59© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com IoT Platform Strategy: Data, Sensors, Open Ecosystem • Offer Wii, Bluetooth, or Cloud • Security alert – intruder or toddler wondering onto street • Bundle energy demand, sell demand management to utility • Time for grandma’s medication • Voice Commands: o “I’ve fallen and I can’t get up” o Remind John to take out garbage Can give away $4-40 bulbs and charge for servicesTry selling $4 bulb when competitor gives away $40 bulb freePlatforms are the business models for IoT
  • 60. 60© 2016 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com • Washers by softener and soap • Printers buy paper and ink • Espresso machines buy coffee and milk • Thermostats buys energy Sanjay Sarma, codeveloper many RFID standards © 2016 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com When Things Buy Things – API Connectivity Explodes
  • 61. 61© 2016 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Marketing changes: point of interception is not the person but the API. Sell laundry or printing or coffee as a service Machine changes: sell the device or enable the plug-in and sell the service Sanjay Sarma, codeveloper many RFID standards © 2016 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com When Things Buy Things – API Connectivity Explodes
  • 62. 62© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com What’s Next? © 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com
  • 63. 63© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Car as Platform
  • 64. 64© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Block Chain & Finance as Platform $ € ¥ £€ $ ¥ £ €
  • 65. 65© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Architecture Information Modules as Platform
  • 66. 66© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com City as Platform
  • 67. 67© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Internet of Things as Platform
  • 68. 68© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Energy/Smart Grid as Platform
  • 69. 69© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Education as Platform
  • 70. 70© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Healthcare as Platform
  • 71. 71© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com 1. Platforms beat products every time – faster innovation, value proportional to use 2. Business models differ because network effects (i.e. demand economies of scale) invert the firm, creating new monopolies 3. Information & Community are key resources 4. APIs are key. Relative to non-users, API users report: a. Lower maintenance costs & more innovation b. More ability to fail fast and experiment c. Higher customer satisfaction d. APIs predict a 2-10% increase in market cap! @InfoEcon
  • 72. 72© 2017 Parker & Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com @InfoEcon1. Introduction 2. Network Effects 3. Architecture 4. Disruption 5. Launch 6. Monetization 7. Openness 8. Governance 9. Metrics 10. Strategy 11. Policy 12. Future Available on Amazon here.
  • 73. 73© 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com THANK YOU QUESTIONS & DISCUSSION © 2017 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com mva@bu.edu Twitter: @InfoEcon Find research HERE. Find blog posts HERE. MIT Initiative on the Digital Economy
  • 74. 74© 2013 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com © 2014 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Services Protected by Credentialing, Complexity, Regulation & Hard Assets Consumer Goods Home Goods Automotive Conslt: Eden MacC Labor : oDesk $$$: eToro, Kickstr News : Twitter Insurance : ? Law : LegalZoom Education : edX Art & Craft : Etsy Apparel:Lee & Fung Shirts : Threadless Shoes : Nike Fuel Watches : Apple Thermostat : Nest Lighting : Philips Appliance : Haier Rides : Uber Cars : 3d Printed Cars : Mercedes Info & Tech Games : Nintendo Cloud : AWS Search : Google OS : MS Windows Maps : Google APIs PDF : Adobe Movies : Netflix
  • 75. 75© 2013 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com © 2014 Parker, Van AlstyneTwitter: @InfoEcon :: mva@bu.edu :: PlatformEconomics.com Food & Agri Protected by Credentialing, Complexity, Regulation & Hard Assets Crop Yield : IBM Spices : McCormick Energy & Mining Heavy Industry Government Farming : eChoupal Mining : Gold Corp Utility : EnerNOC Tractors : Hitachi Engines : GE Predix City : Singapore Medicine Devices : Biomet MRI : Cohealo Healthcare:Harvard