The type of people that compose your network might play a crucial role to the spread of your innovations. I wrote (long time ago!) an article about the speed of new technology introduction and how to model it.

A well-accepted model for technology (or innovation) diffusion by E. Rogers classifies users among 5 types depending on when they adopt new technology:

1. innovators;
2. early adopters;
3. early majority;
4. late majority, and
5. laggards

The composition of your network will affect the speed of introduction of your new ideas, technologies or innovations. If your network is biased towards having more innovators and early adopters, your ideas will spread faster.

To spread your innovations, get to know more early adopters!

Related links:

• Predicting the Speed and Patterns of Technology Take-Up, Australian Venture Capital Journal, 131 (May 2004), ISSN 1038-4324, pp34-36.): http://jordi.pro/bass
• Diffusion of innovation (1st ed. 1962; 5th ed. 2003), E. Rogers, ISBN 0743222091.
• Innovation Problem: New Ideas Spread Slowly (by Tim Kastelle), http://timkastelle.org/blog/2012/01/innovation-problem-new-ideas-spread-slowly/

Connecting Forward: Pre-order at Amazon.co.uk

The type of people that compose your network might play a crucial role to the spread of your innovations. I wrote (long time ago!) an article about the speed of new technology introduction and how to model it.

A well-accepted model for technology (or innovation) diffusion by E. Rogers classifies users among 5 types depending on when they adopt new technology:

1. innovators;
2. early adopters;
3. early majority;
4. late majority, and
5. laggards

The composition of your network will affect the speed of introduction of your new ideas, technologies or innovations. If your network is biased towards having more innovators and early adopters, your ideas will spread faster.

To spread your innovations, get to know more early adopters!

Related links:

• Predicting the Speed and Patterns of Technology Take-Up, Australian Venture Capital Journal, 131 (May 2004), ISSN 1038-4324, pp34-36.): http://jordi.pro/bass
• Diffusion of innovation (1st ed. 1962; 5th ed. 2003), E. Rogers, ISBN 0743222091.
• Innovation Problem: New Ideas Spread Slowly (by Tim Kastelle), http://timkastelle.org/blog/2012/01/innovation-problem-new-ideas-spread-slowly/

Connecting Forward: Pre-order at Amazon.co.uk

The type of people that compose your network might play a crucial role to the spread of your innovations. I wrote (long time ago!) an article about the speed of new technology introduction and how to model it.

A well-accepted model for technology (or innovation) diffusion by E. Rogers classifies users among 5 types depending on when they adopt new technology:

1. innovators;
2. early adopters;
3. early majority;
4. late majority, and
5. laggards

The composition of your network will affect the speed of introduction of your new ideas, technologies or innovations. If your network is biased towards having more innovators and early adopters, your ideas will spread faster.

To spread your innovations, get to know more early adopters!

Related links:

• Predicting the Speed and Patterns of Technology Take-Up, Australian Venture Capital Journal, 131 (May 2004), ISSN 1038-4324, pp34-36.): http://jordi.pro/bass
• Diffusion of innovation (1st ed. 1962; 5th ed. 2003), E. Rogers, ISBN 0743222091.
• Innovation Problem: New Ideas Spread Slowly (by Tim Kastelle), http://timkastelle.org/blog/2012/01/innovation-problem-new-ideas-spread-slowly/

Connecting Forward: Pre-order at Amazon.co.uk

The type of people that compose your network might play a crucial role to the spread of your innovations. I wrote (long time ago!) an article about the speed of new technology introduction and how to model it.

A well-accepted model for technology (or innovation) diffusion by E. Rogers classifies users among 5 types depending on when they adopt new technology:

1. innovators;
2. early adopters;
3. early majority;
4. late majority, and
5. laggards

The composition of your network will affect the speed of introduction of your new ideas, technologies or innovations. If your network is biased towards having more innovators and early adopters, your ideas will spread faster.

To spread your innovations, get to know more early adopters!

Related links:

• Predicting the Speed and Patterns of Technology Take-Up, Australian Venture Capital Journal, 131 (May 2004), ISSN 1038-4324, pp34-36.): http://jordi.pro/bass
• Diffusion of innovation (1st ed. 1962; 5th ed. 2003), E. Rogers, ISBN 0743222091.
• Innovation Problem: New Ideas Spread Slowly (by Tim Kastelle), http://timkastelle.org/blog/2012/01/innovation-problem-new-ideas-spread-slowly/

Connecting Forward: Pre-order at Amazon.co.uk

The type of people that compose your network might play a crucial role to the spread of your innovations. I wrote (long time ago!) an article about the speed of new technology introduction and how to model it.

A well-accepted model for technology (or innovation) diffusion by E. Rogers classifies users among 5 types depending on when they adopt new technology:

1. innovators;
2. early adopters;
3. early majority;
4. late majority, and
5. laggards

The composition of your network will affect the speed of introduction of your new ideas, technologies or innovations. If your network is biased towards having more innovators and early adopters, your ideas will spread faster.

To spread your innovations, get to know more early adopters!

Related links:

• Predicting the Speed and Patterns of Technology Take-Up, Australian Venture Capital Journal, 131 (May 2004), ISSN 1038-4324, pp34-36.): http://jordi.pro/bass
• Diffusion of innovation (1st ed. 1962; 5th ed. 2003), E. Rogers, ISBN 0743222091.
• Innovation Problem: New Ideas Spread Slowly (by Tim Kastelle), http://timkastelle.org/blog/2012/01/innovation-problem-new-ideas-spread-slowly/

Connecting Forward: Pre-order at Amazon.co.uk

The type of people that compose your network might play a crucial role to the spread of your innovations. I wrote (long time ago!) an article about the speed of new technology introduction and how to model it.

A well-accepted model for technology (or innovation) diffusion by E. Rogers classifies users among 5 types depending on when they adopt new technology:

1. innovators;
2. early adopters;
3. early majority;
4. late majority, and
5. laggards

The composition of your network will affect the speed of introduction of your new ideas, technologies or innovations. If your network is biased towards having more innovators and early adopters, your ideas will spread faster.

To spread your innovations, get to know more early adopters!

Related links:

• Predicting the Speed and Patterns of Technology Take-Up, Australian Venture Capital Journal, 131 (May 2004), ISSN 1038-4324, pp34-36.): http://jordi.pro/bass
• Diffusion of innovation (1st ed. 1962; 5th ed. 2003), E. Rogers, ISBN 0743222091.
• Innovation Problem: New Ideas Spread Slowly (by Tim Kastelle), http://timkastelle.org/blog/2012/01/innovation-problem-new-ideas-spread-slowly/

Connecting Forward: Pre-order at Amazon.co.uk

The type of people that compose your network might play a crucial role to the spread of your innovations. I wrote (long time ago!) an article about the speed of new technology introduction and how to model it.

A well-accepted model for technology (or innovation) diffusion by E. Rogers classifies users among 5 types depending on when they adopt new technology:

1. innovators;
2. early adopters;
3. early majority;
4. late majority, and
5. laggards

The composition of your network will affect the speed of introduction of your new ideas, technologies or innovations. If your network is biased towards having more innovators and early adopters, your ideas will spread faster.

To spread your innovations, get to know more early adopters!

Related links:

• Predicting the Speed and Patterns of Technology Take-Up, Australian Venture Capital Journal, 131 (May 2004), ISSN 1038-4324, pp34-36.): http://jordi.pro/bass
• Diffusion of innovation (1st ed. 1962; 5th ed. 2003), E. Rogers, ISBN 0743222091.
• Innovation Problem: New Ideas Spread Slowly (by Tim Kastelle), http://timkastelle.org/blog/2012/01/innovation-problem-new-ideas-spread-slowly/

Connecting Forward: Pre-order at Amazon.co.uk

The type of people that compose your network might play a crucial role to the spread of your innovations. I wrote (long time ago!) an article about the speed of new technology introduction and how to model it.

A well-accepted model for technology (or innovation) diffusion by E. Rogers classifies users among 5 types depending on when they adopt new technology:

1. innovators;
2. early adopters;
3. early majority;
4. late majority, and
5. laggards

The composition of your network will affect the speed of introduction of your new ideas, technologies or innovations. If your network is biased towards having more innovators and early adopters, your ideas will spread faster.

To spread your innovations, get to know more early adopters!

Related links:

• Predicting the Speed and Patterns of Technology Take-Up, Australian Venture Capital Journal, 131 (May 2004), ISSN 1038-4324, pp34-36.): http://jordi.pro/bass
• Diffusion of innovation (1st ed. 1962; 5th ed. 2003), E. Rogers, ISBN 0743222091.
• Innovation Problem: New Ideas Spread Slowly (by Tim Kastelle), http://timkastelle.org/blog/2012/01/innovation-problem-new-ideas-spread-slowly/

Connecting Forward: Pre-order at Amazon.co.uk

The type of people that compose your network might play a crucial role to the spread of your innovations. I wrote (long time ago!) an article about the speed of new technology introduction and how to model it.

A well-accepted model for technology (or innovation) diffusion by E. Rogers classifies users among 5 types depending on when they adopt new technology:

1. innovators;
2. early adopters;
3. early majority;
4. late majority, and
5. laggards

The composition of your network will affect the speed of introduction of your new ideas, technologies or innovations. If your network is biased towards having more innovators and early adopters, your ideas will spread faster.

To spread your innovations, get to know more early adopters!

Related links:

• Predicting the Speed and Patterns of Technology Take-Up, Australian Venture Capital Journal, 131 (May 2004), ISSN 1038-4324, pp34-36.): http://jordi.pro/bass
• Diffusion of innovation (1st ed. 1962; 5th ed. 2003), E. Rogers, ISBN 0743222091.
• Innovation Problem: New Ideas Spread Slowly (by Tim Kastelle), http://timkastelle.org/blog/2012/01/innovation-problem-new-ideas-spread-slowly/

Connecting Forward: Pre-order at Amazon.co.uk

The type of people that compose your network might play a crucial role to the spread of your innovations. I wrote (long time ago!) an article about the speed of new technology introduction and how to model it.

A well-accepted model for technology (or innovation) diffusion by E. Rogers classifies users among 5 types depending on when they adopt new technology:

1. innovators;
2. early adopters;
3. early majority;
4. late majority, and
5. laggards

The composition of your network will affect the speed of introduction of your new ideas, technologies or innovations. If your network is biased towards having more innovators and early adopters, your ideas will spread faster.

To spread your innovations, get to know more early adopters!

Related links:

• Predicting the Speed and Patterns of Technology Take-Up, Australian Venture Capital Journal, 131 (May 2004), ISSN 1038-4324, pp34-36.): http://jordi.pro/bass
• Diffusion of innovation (1st ed. 1962; 5th ed. 2003), E. Rogers, ISBN 0743222091.
• Innovation Problem: New Ideas Spread Slowly (by Tim Kastelle), http://timkastelle.org/blog/2012/01/innovation-problem-new-ideas-spread-slowly/

Connecting Forward: Pre-order at Amazon.co.uk