Culture and national S&T performance
A framework for analysing socio‐institutional factors in RTD policy making
Bibliographic Data
| ID | 12530831 |
|---|---|
| Authors | Steven Ney (0000-0001-7570-2419, corresponding author) |
| Year | 1999 |
| Volume | 12 |
| Issue | 3 |
| Pages | 353-375 |
| Publication date | 1999-09-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Innovation The European Journal of Social Science Research (JOURNAL) |
| Journal identifiers | ISSN: 1351-1610 • E-ISSN: 1469-8412 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/13511610.1999.9968609 |
| OpenAlex | W2041731178 |
| Language | EN |
| References cited | 18 |
Since the 1970s, policy makers and researchers have attempted to understand what factors influence national S&T performance. Whereas researchers predominantly aimed at explaining disparate economic development paths by understanding the role of innovation and technological advance in the evolution of economic systems, policy makers hoped to discover those mechanism that would enhance national S&T performance. The work of Mary Douglas provides a framework for systematically comparing organizational and institutional cultures. Although Mary Douglas originally devised the approach to explain her African fieldwork data, successive social scientists, most notably Aaron Wildavsky, Michael Thompson, and Steve Rayner, have adapted the model to suit the needs of policy analysis
National Policy · Policy making · Political science · Regional science · Sociology · Work (physics · Corruption and Economic Development · Culture, Economy, and Development Studies · Engineering · Global and Cross-Cultural Management · Public Administration
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| Highly cited | No |
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