Economic Adversity and Entrepreneurship-led Growth - Lessons from the Indian Software Sector

Athreye, Suma (2010). Economic Adversity and Entrepreneurship-led Growth - Lessons from the Indian Software Sector. UNU-MERIT.

Document type:
Report

Metadata
Versions
Statistics
  • Author Athreye, Suma
    Title Economic Adversity and Entrepreneurship-led Growth - Lessons from the Indian Software Sector
    Publication Date 2010
    Publisher UNU-MERIT
    Abstract It is commonly believed that the business environment in developing countries does not allow productive technology-based entrepreneurship to flourish. In this paper, we draw on the experience of Indian software firms where entrepreneurial growth has belied these predictions. This paper argues that the business models chosen by Indian firms were those that best aligned the country’s abundant labour resources and advantages to global demand. Many potentially higher value added opportunities struggled to attain success, but the qualitative value of experimental failures and the capability gaps they exposed was invaluable for collective managerial learning in the industry. Second, the paper also shows that the presence of growth opportunities and the success of firms stimulated institutional evolution to promote entrepreneurial growth. Last we show that the distinctive aggregate contribution of entrepreneurial firms was that they outperformed business houses and multinational subsidiaries in their more productive use of available capital resources whilst achieving similar levels of growth in output and employment. This paper draws upon an earlier shorter paper co-authored with Mike Hobday and titled ‘Overcoming Development Adversity: How Entrepreneurs Led Software Development in India’.
    Keyword Technology entrepreneurship
    Institutions and economic development
    Indian software
    Intellectual property rights
    JEL L26
    L86
    O10
    032
    O34
    I28
    Copyright Holder UNU-MERIT
    Copyright Year 2010
    ISSN 1871-9872
  • Versions
    Version Filter Type
  • Citation counts
    Google Scholar Search Google Scholar
    Access Statistics: 771 Abstract Views  -  Detailed Statistics
    Created: Wed, 11 Dec 2013, 16:36:53 JST