Cultural determinants of national innovativeness: a 56 country Bayesian analysis

ABSTRACT

National Innovation Systems are found to be impacted by different cultural facets of the referent ecosystem; yet the findings are conflicting. This study undertakes a cross-country comparison to delineate the antecedents of innovativeness at the societal level of analysis. Bayesian modelling is adopted to draw robust references from the sample data for 56 countries. The Global Innovation Index rankings report is used to capture national innovativeness. Arguments are drawn from micro-level psychological and macro-level cultural differences discourses. Subsequently, theory is proposed linking Uncertainty Avoidance, Performance Orientation and Future Orientation of a society as predictors of innovativeness. We find strong evidence that only Uncertainty Avoidance is the most likely and proximal predictor to national innovativeness. The effects of both Performance Orientation and Future Orientation on national innovation are mediated by Uncertainty Avoidance. The results have implications for managing multi-country innovation projects and in policy-making to spur national innovation.

KEYWORDS:

• Innovation
• national innovation system
• culture
• Bayes

Disclosure statement

No potential conflict of interest was reported by the author(s).

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Roshni Das

Roshni Das is presently an Assistant Professor at the Goa Institute of Management (GIM), Goa, India. She received her PhD in Organisational Behaviour and Human Resource Management from the Indian Institute of Management (IIM), Indore, India. She is also a Fellow of the Shastri Indo-Canadian Institute and Hewitt Aon Think Tank Initiative. Prior to joining the doctoral program, she was working with the risk consulting division of the Oracle Financial Services Software Limited, Mumbai. Her current research interests are in quantitative analysis of social data and bibliometrics.