Not all IT innovations are equal: Evidence from medical device patents

Zhitao Yin, Arun Rai, Wael Jabr

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We develop a patent analysis approach to discover types of IT innovations and examine their technological and economic impacts. Our empirical investigation is based on 73,120 patents in the medical devices industry filed between 1996 and 2005. Rather than relying on pre-established classifications of IT innovations, we apply textual analysis to patent abstracts and map the extracted IT innovations into three types-general-purpose IT, IT-embedded products, and IT-embedded processes. We analyze the technological impact (measured by 10-year forward citations) and economic impact (measured by patent maintenance fee payments) of IT innovations. We find that although all three types of IT innovations generate technological impact, general-purpose IT innovations are more likely to generate economic value. These impacts of types of IT innovation are above and beyond the impacts of novelty and conventionality of the innovation and the disclosure strategy of information related to the innovation.

Original languageEnglish (US)
Title of host publication2015 International Conference on Information Systems
Subtitle of host publicationExploring the Information Frontier, ICIS 2015
PublisherAssociation for Information Systems
ISBN (Print)9780996683111
StatePublished - 2015
Event2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015 - Fort Worth, United States
Duration: Dec 13 2015Dec 16 2015

Publication series

Name2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015

Other

Other2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015
Country/TerritoryUnited States
CityFort Worth
Period12/13/1512/16/15

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences
  • Applied Mathematics

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