Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 Min Read
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Non-linearity of technology adoption
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Non-linearity of technology adoption
Uncategorized

Non-linearity of technology adoption

ChrisDixon
ChrisDixon
6 Min Read
SHARE

When I was in business school I remember a class where a partner from a big consulting firm was talking about how they had done extensive research and concluded that broadband would never gain significant traction in the US without government subsidies.  His primary evidence was a survey of consumers they had done asking them if they were willing to pay for broadband access at various price points.

Of course the flaw in this reasoning is that, at the time, there weren’t many websites or apps that made good use of broadband.   This was 2002 – before YouTube, Skype, Ajax-enabled web apps and so on.  In the language of economics, broadband and broadband apps are complementary goods – the existence of one makes the other more valuable.  Broadband didn’t have complements yet so it wasn’t that valuable.

Complement effects are one of the main reasons that technology adoption is non-linear. There are other reasons, including network effects, viral product features, and plain old faddishness.

Twitter has network effects – it is more valuable to me when more people use it.  By opening up the API they also gained complement effects – there are tons of …

More Read

Could Data Science Have Saved Greece?
False Relationships
SAP Executive Q&A – #sapteched09
removed post
#3: Here’s a thought…

When I was in business school I remember a class where a partner from a big consulting firm was talking about how they had done extensive research and concluded that broadband would never gain significant traction in the US without government subsidies.  His primary evidence was a survey of consumers they had done asking them if they were willing to pay for broadband access at various price points.

Of course the flaw in this reasoning is that, at the time, there weren’t many websites or apps that made good use of broadband.   This was 2002 – before YouTube, Skype, Ajax-enabled web apps and so on.  In the language of economics, broadband and broadband apps are complementary goods – the existence of one makes the other more valuable.  Broadband didn’t have complements yet so it wasn’t that valuable.

Complement effects are one of the main reasons that technology adoption is non-linear. There are other reasons, including network effects, viral product features, and plain old faddishness.

Twitter has network effects – it is more valuable to me when more people use it.  By opening up the API they also gained complement effects – there are tons of interesting Twitter-related products that make it more useful.  Facebook also has network effects and with its app program and Facebook Connect gets complement effects.

You can understand a large portion of technology business strategy by understanding strategies around complements.  One major point:  companies generally try to reduce the price of their products complements (Joel Spolsky has an excellent discussion of the topic here).   If you think of the consumer as having a willingness to pay a fixed N for product A plus complementary product B, then each side is fighting for a bigger piece of the pie. This is why, for example, cable companies and content companies are constantly battling.  It is also why Google wants open source operating systems to win, and for broadband to be cheap and ubiquitous.

Clay Christensen has a really interesting theory about how technology “value chains” evolve over time.  Basically they typically start out with a single company creating the whole thing, or most of it.  (Think of mobile phones or the PC).  This is because early products require tight integration to squeeze out maximum performance and usability.  Over time, standard “APIs” start to develop between layers, and the whole product gains performance/usability to spare.   Thus the chain begins to stratify and adjacent sections start fighting to commoditize one another.   In the early days it’s not at all obvious which segments of the chain will win.  That is why, for example, IBM let Microsoft own DOS.  They bet on the hardware.   One of Christensen’s interesting observations is, in the steady state, you usually end up with alternating commoditized and non-commoditized segments of the chain.

Microsoft Windows & Office was the big non-commoditized winner of the PC. Dell did very well precisely because they saw early on that hardware was becoming commodotized.  In a commoditized market you can still make money but your strategy should be based on lowering costs.

Be wary of analysts and consultants who draw lines to extrapolate technology trends.  You are much better off thinking about complements, network effects, and studying how technology markets have evolved in the past.

Link to original post

TAGGED:adoption
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI driven big data company
How AI-Driven Workflows Are Changing the Way Companies Think About Data Risk
Artificial Intelligence Data Management Exclusive Risk Management
ai product development
Why Businesses Outsource AI Product Development Companies
Exclusive News
banking tools
The Fintech and Banking Tools Global Entrepreneurs Rely On
Fintech Infographic
business using business intelligence
How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
Analytics Big Data Exclusive Marketing

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Driving Adoption of Social Collaboration Tools

6 Min Read

Designing products for single and multiplayer modes

4 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?