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
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 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

HamsterDB
Maps are Just Another Element
Making publication-ready tables with xtable
Enhancing BPM with Business Rules and Analytics at Air Products
Side-by-side statistical analyses in R, SAS, SPSS

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

stock investing and data analytics
How Data Analytics Supports Smarter Stock Trading Strategies
Analytics Exclusive
qr codes for data-driven marketing
Role of QR Codes in Data-Driven Marketing
Big Data Exclusive
microsoft 365 data migration
Why Data-Driven Businesses Consider Microsoft 365 Migration
Big Data Exclusive
real time data activation
How to Choose a CDP for Real-Time Data Activation
Big Data Exclusive

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.

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

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

Sign in to your account

Username or Email Address
Password

Lost your password?