Technology-based entrepreneurship education meeting policy, educational and business objectives
Technology-based entrepreneurship education meeting policy, educational and business objectives
The UK government's 'Third Mission' for Higher Education (2000) encourages universities to teach entrepreneurship to 'STEM' students (those studying science, technology, engineering and mathematics), in part to support the technology transfer agenda. Technology-based entrepreneurship education (TEE) incorporates the key elements of entrepreneurship education (EE), concentrating on the creation of economic value from technological change. In this paper, the key challenges associated with EE and TEE are outlined, and the authors propose that the way to meet these challenges is through a systematic process that takes a technology from an initial idea in the laboratory to full commercialization as a high-growth firm. The 'Technology Entrepreneurship and Commercialization Algorithm' developed at North Carolina State University (NCSU) offers such a framework for multidisciplinary teams. The paper describes why and how the Algorithm was adapted for use at Loughborough University (LU). The focus is on the educational and business objectives of the programme and the extent to which those objectives have been achieved. The paper thus makes a contribution to the TEE literature by spelling out specific challenges, discussing a potential solution to these challenges and thereby adding to our understanding of the linkages between education, innovation and entrepreneurship
43-53
Boocock, Grahame
ab2e925d-6f5f-47db-919d-170949fd33ab
Frank, Regina
3b7c0e0e-8e64-4387-945d-896f798d3e77
Warren, Lorraine
1ec8193d-f90f-48f6-9205-041dcf89121d
2009
Boocock, Grahame
ab2e925d-6f5f-47db-919d-170949fd33ab
Frank, Regina
3b7c0e0e-8e64-4387-945d-896f798d3e77
Warren, Lorraine
1ec8193d-f90f-48f6-9205-041dcf89121d
Boocock, Grahame, Frank, Regina and Warren, Lorraine
(2009)
Technology-based entrepreneurship education meeting policy, educational and business objectives.
The International Journal of Entrepreneurship and Innovation, 10 (1), .
Abstract
The UK government's 'Third Mission' for Higher Education (2000) encourages universities to teach entrepreneurship to 'STEM' students (those studying science, technology, engineering and mathematics), in part to support the technology transfer agenda. Technology-based entrepreneurship education (TEE) incorporates the key elements of entrepreneurship education (EE), concentrating on the creation of economic value from technological change. In this paper, the key challenges associated with EE and TEE are outlined, and the authors propose that the way to meet these challenges is through a systematic process that takes a technology from an initial idea in the laboratory to full commercialization as a high-growth firm. The 'Technology Entrepreneurship and Commercialization Algorithm' developed at North Carolina State University (NCSU) offers such a framework for multidisciplinary teams. The paper describes why and how the Algorithm was adapted for use at Loughborough University (LU). The focus is on the educational and business objectives of the programme and the extent to which those objectives have been achieved. The paper thus makes a contribution to the TEE literature by spelling out specific challenges, discussing a potential solution to these challenges and thereby adding to our understanding of the linkages between education, innovation and entrepreneurship
Text
IJEI_-_Boocockfrank.pdf
- Other
Restricted to Registered users only
More information
Published date: 2009
Identifiers
Local EPrints ID: 71365
URI: http://eprints.soton.ac.uk/id/eprint/71365
ISSN: 1465-7503
PURE UUID: 522d62c5-b00a-4ba6-9f11-767f02c3f69f
Catalogue record
Date deposited: 08 Feb 2010
Last modified: 13 Mar 2024 20:25
Export record
Contributors
Author:
Grahame Boocock
Author:
Regina Frank
Author:
Lorraine Warren
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics