Research Papers - Dept of Information of Management

Permanent URI for this collectionhttps://rda.sliit.lk/handle/123456789/607

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Author: search.filters.author.Kauranen, ISubject: search.filters.subject.Innovation Performance

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    PublicationOpen Access
    Sequential Coherence: A Novel Determinant of Open Innovation
    (SSRN, 2019-09-05) Rajapaksha Yapa, S; Senathiraja, R; Poesche, J; Kauranen, I
    Despite its popularity as a strategy to accelerate innovations there is evidence that open innovation does not always increase innovation performance. Extant literature provides inconsistent and inconclusive arguments in respect of the relationship between open innovation practices and innovation performance. Existing theories mostly have an internal focus and fall short of explaining why some firms succeed in open innovation initiatives and why others fail. Open innovation is about knowledge flows. We argue that boundary conditions matter in innovation performance and sequential coherence can explain why some succeed while others fail in open innovation. A qualitative inquiry we made reveals that sequential coherence that facilitates the knowledge transfer at boundary level influences innovation performance in open innovation initiatives. Sequential coherence is measured through the push and the pull effects by willingness and ability of the participants of teacher firm and the preparedness and ability of the participants from the student firm respectively. We trust that our findings bridge a gap in open innovation literature. These initial findings could be generalized through a quantitative study with larger samples. Managerial implications of the finding is that ability to scan the entire chain of knowledge flow across boundaries and taking corrective measures for any bottlenecks or hindrances observed can bring better results from open innovation initiatives. Further, sequential coherence leads to multiple research opportunities in furthering our knowledge in open innovation.
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    PublicationOpen Access
    Time Orientation & Sequential Coherence as Novel Determinants of Open Innovation Performance
    (University of Peradeniya, Sri Lanka, 2020-11-22) Kauranen, I; Rajapaksha Yapa, S; Senathiraja, R; Poesche, J
    The aim of this paper is to introduce two novel variables that can explain variations of innovation performance in open innovation initiatives. Open innovation is a popular strategy among business organizations in promoting innovations. However, it does not always increase innovation performance. The reasons for the varying innovation performance in open innovation initiatives cannot be fully explained by the existing theories and variables used. This article explains how a mixed method research that has been undertaken with the objective of identifying novel determinants to explain varying innovation performance in open innovation initiatives has been progressing up to its final phase. This research follows a sequential exploration strategy as its research design. The ontology of the subject research is pragmatism. Two new determinants identified through the qualitative inquiries namely time orientation and sequential coherence have been incorporated to a conceptual model that would be tested using data collected from software firms as the final phase of the research.
  • Thumbnail Image
    PublicationOpen Access
    Sequential Coherence: A Novel Determinant of Open Innovation Performance
    (Scientific Research Publishing, 2019-09-05) Yapa, S. R; Senathiraja, R; Poesche, J; Kauranen, I
    Despite its popularity as a strategy to accelerate innovations there is evidence that open innovation does not always increase innovation performance. Extant literature provides inconsistent and inconclusive arguments in respect of the relationship between open innovation practices and innovation performance. Existing theories mostly have an internal focus and fall short of explaining why some firms succeed in open innovation initiatives and why others fail. Open innovation is about knowledge flows. We argue that boundary conditions matter in innovation performance and sequential coherence can explain why some succeed while others fail in open innovation. A qualitative inquiry we made reveals that sequential coherence that facilitates the knowledge transfer at boundary level influences innovation performance in open innovation initiatives. Sequential coherence is measured through the push and the pull effects by willingness and ability of the participants of teacher firm and the preparedness and ability of the participants from the student firm respectively. We trust that our findings bridge a gap in open innovation literature. These initial findings could be generalized through a quantitative study with larger samples. Managerial implications of the finding is that ability to scan the entire chain of knowledge flow across boundaries and taking corrective measures for any bottlenecks or hindrances observed can bring better results from open innovation initiatives. Further, sequential coherence leads to multiple research opportunities in furthering our knowledge in open innovation.