File:Technology-Adoption-Lifecycle.png

From Wikimedia Commons, the free media repository
Jump to navigation Jump to search

Original file(2,087 × 833 pixels, file size: 114 KB, MIME type: image/png)

Captions

Captions

Add a one-line explanation of what this file represents

Summary[edit]

Description
English: Technology (or solution) adoption process, as described in Geoffrey Moore's book Crossing the Chasm. Chart shows a bell curve split into five sections named (left to right) innovators, early adopters, early majority, late majority and laggards. Area under the curve represents number of customers. The early adopters section is itself split into two sub-sections between which is "The Chasm"
Date
Source private communication with Craig Chelius
Author Craig Chelius

Licensing[edit]

w:en:Creative Commons
attribution
This file is licensed under the Creative Commons Attribution 3.0 Unported license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current04:12, 13 February 2009Thumbnail for version as of 04:12, 13 February 20092,087 × 833 (114 KB)Adamfeuer~commonswiki (talk | contribs)
04:01, 13 February 2009Thumbnail for version as of 04:01, 13 February 20092,087 × 833 (114 KB)Adamfeuer~commonswiki (talk | contribs){{Information |Description={{en|1=Technology (or solution) adoption process, as described in Geoffrey Moore's book Crossing the Chasm}} |Source=private communication with Craig Chelius |Author=Craig Chelius |Date=2009-02-10 |Permission= |other_versions= }

There are no pages that use this file.

File usage on other wikis

The following other wikis use this file:

Metadata