The impacts of open innovations on organizational performance: A perspective based on information technology and knowledge ecology

Ting Peng Liang, Deng Neng Chen, Loo Geok Pee

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

3 Citations (Scopus)

Abstract

Open innovation is a paradigm related to knowledge sourcing. It argues that firms should take advantage of both external and internal ideas for innovation in organizations. The purpose of this research is to investigate how different knowledge management strategies and IT capabilities may have effects on the implementation of open innovation and whether the adoption of open innovation may affect organizational performance. We have developed a research model and a questionnaire survey was conducted in Taiwan and Japan to collect matched-pair responses from 213 companies. Our research results indicate the following: (1) IT capabilities are found to have direct effects on open innovation; (2) Organizations with higher level of knowledge interaction and collaboration have higher level of open innovation implementation; (3) Higher level of open innovation leads to higher organizational performance; (4) Inbound open innovation and outbound open innovation have different effects on organizational performance in different economic contexts.

Original languageEnglish
Title of host publicationInternational Conference on Information Systems (ICIS 2013)
Subtitle of host publicationReshaping Society Through Information Systems Design
Pages4078-4092
Number of pages15
Publication statusPublished - 2013
Externally publishedYes
EventInternational Conference on Information Systems, ICIS 2013 - Milan, Italy
Duration: Dec 15 2013Dec 18 2013

Publication series

NameInternational Conference on Information Systems (ICIS 2013): Reshaping Society Through Information Systems Design
Volume5

Conference

ConferenceInternational Conference on Information Systems, ICIS 2013
Country/TerritoryItaly
CityMilan
Period12/15/1312/18/13

ASJC Scopus Subject Areas

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

Keywords

  • IT capability
  • Knowledge management
  • Open innovation
  • Organizational performance

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