Skip Nav Destination
Article navigation
April 01 2007
Kiva as a Test of Our “Societal Creativity” Innovations Case Discussion: Kiva.org
Robert D. Austin
Robert D. Austin
Associate Professor of Business Administration at the Harvard Business School. His research focuses on management of innovative and knowledge intensive activities, especially as applied in creative industries and information technology management. He has written on these subjects in five books as well as in academic and trade journals.
Search for other works by this author on:
Robert D. Austin
Associate Professor of Business Administration at the Harvard Business School. His research focuses on management of innovative and knowledge intensive activities, especially as applied in creative industries and information technology management. He has written on these subjects in five books as well as in academic and trade journals.
Online ISSN: 1558-2485
Print ISSN: 1558-2477
© 2007 Tagore LLC
2007
Innovations: Technology, Governance, Globalization (2007) 2 (1-2): 57–62.
Citation
Robert D. Austin; Kiva as a Test of Our “Societal Creativity” Innovations Case Discussion: Kiva.org. Innovations: Technology, Governance, Globalization 2007; 2 (1-2): 57–62. doi: https://doi.org/10.1162/itgg.2007.2.1-2.57
Download citation file:
Email alerts
Advertisement
Cited By
Related Articles
Kiva at Four ( Innovations Case Narrative : Kiva)
Innovations: Technology, Governance, Globalization (April,2009)
Kiva and the Birth of Person-to-Person Microfinance
Innovations: Technology, Governance, Globalization (April,2007)
Building on Kiva's Success: Can Kiva Lenders Influence U.S. Foreign Aid Policy? ( Innovations Case Discussion : Kiva)
Innovations: Technology, Governance, Globalization (April,2009)
Letters
Innovations: Technology, Governance, Globalization (July,2007)
Related Book Chapters
Societal Impact
The New Designer: Rejecting Myths, Embracing Change
Societal Conditions
Culture and Subjective Well-Being
Discussion
Attention and Performance XVII: Cognitive Regulation of Performance: Interaction of Theory and Application
Discussion
Dataset Shift in Machine Learning