Diversifying into technical clothing manufacture:a situated learning theory perspective


An organisation’s ability to internalise external knowledge and learn from various sources in undertaking new product development and/or entering a new market is crucial to its competitive performance. Nevertheless, little attention has been paid to how growth-oriented small firms identify and exploit entrepreneurial opportunities, i.e. take entrepreneurial action, related to such methods of development, in a mature, contracting industry. The latter is particularly relevant to recent discussion and debate in academic and policy-making circles concerning the salvage of the clothing manufacture industry in developed industrialised countries, by intensifying efforts relating to diversification into high value manufacturing sectors. This paper, based on an instrumental case-firm, demonstrates analytically how learning as entrepreneurial action relating to diversifying into /technical clothing – i.e. a high value manufacturing/innovatory sector - takes place, drawing on situated learning theory. It is argued that learning relating to such entrepreneurial action is dynamic in nature and is founded on specific organising principles that foster both inter- and intracommunal learning.

Divisions: Aston Business School
Aston Business School > Work & Organisational Psychology
Aston Business School > Operations & Information Management
Event Title: 21st international conference of the international association for management of technology
Event Type: Other
Event Dates: 2012-03-18 - 2012-03-22
Uncontrolled Keywords: communities of practice,high-value manufacturing,technical clothing manufacutre,technological capabilities development,situated learning theory
ISBN: 0-9815817-5-7
Full Text Link: http://publicat ... ocal_165809.pdf
Related URLs:
PURE Output Type: Conference contribution
Published Date: 2012
Authors: Theodorakopoulos, Nick ( 0000-0002-2262-0054)
Kakabadse, Nada
Bennett, David ( 0000-0003-1480-8652)
Figueira, Catarina
Nunes, Breno ( 0000-0001-8892-2728)

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