The influence of ICT-driven innovation: a comparative study on national innovation efficiency between developed and emerging countries

Chao Zhang and Xiaojiong Wang

Behaviour and Information Technology, 2019, vol. 38, issue 9, 876-886

Abstract: In the Big Data era, Information and Communication Technology (ICT), including the Internet and sensors, digitises physical activity extensively. This leads to the development of ICT Driven Innovation (IDI) which may have a strong influence on National Innovation Efficiency (NIE). The purpose of this paper is to provide insights into the impact of IDI on NIE in both advanced and emerging countries. Data Envelopment Analysis (DEA) is employed to obtain the individual score for each country. We focus on comparing IDI between advanced and emerging economies in particular. We believe that IDI is an important reason why the average NIE score is higher in developed countries than in emerging countries. Obviously, developed countries have shown good capabilities in IDI in excess of most emerging countries. This includes but is not limited to R&D expenditure across the ICT industry, ICT patents etc. Several emerging economies received high NIE scores such as China and Brazil, who also have a good performance in IDI. On this basis, we discuss the mechanism of how IDI affects NIE. ICT industry innovation, non-ICT industries innovation, and ICT infrastructure are summarised as the primary factor affecting NIE by IDI. Further empirical research is required in the future.

Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2019.1584645 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:38:y:2019:i:9:p:876-886

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20

DOI: 10.1080/0144929X.2019.1584645

Access Statistics for this article

Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos

More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().