Research Papers - Dept of Information of Management

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Author: search.filters.author.Poesche, JSubject: search.filters.subject.sequential coherence

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    PublicationOpen Access
    Why Adoption of Some Technologies is Faster? An Explanation Through Sequential Coherence
    (SSRN, 2019) Rajapaksha Yapa, S; Senathiraja, R; Poesche, J; Kauranen, I
    Technology adoption is a concern for business practitioners, policy makers, and academics. Slow or low adoption can deprive stakeholders from intended benefits. Existing theories concerning technology adoption mostly focus on factors within a single organization. In this concept paper, we argue that sequential coherence which addresses knowledge flows that cross borders between organizations can provide enhanced insights in understanding technology adoption. Sequential coherence takes into consideration factors of both the transferor organization and the recipient organization. We propose a novel conceptual model of technology adoption based on sequential coherence. It takes into consideration the perceived usefulness and perceived ease of using the technology. We have coined the model the CUE (Coherence, Usefulness and Ease of use) model of technology adoption. The CUE model can be used by practitioners, policy makers, and academics.
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    PublicationOpen Access
    The role of Sequential Coherence in Open Innovation: A qualitative inquiry
    (UoM Conferences, Faculty of Business Research Unit (ICBR), 2019-08-15) Yapa, S. R; Senathiraja, R; Poesche, J; Kauranen, I
    Open innovation is a popular strategy among business firms to accelerate innovations. However, 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. To understand how boundary conditions influence knowledge flows we made a qualitative inquiry by studying open innovation initiatives of five Sri Lankan firms. Under open coding, we reviewed data collected from lengthy discussions with key people in those firms to identify few general categories of information. Further analysis on this using axial coding revealed three factors that influence knowledge flows. We bundle those factors and describe as sequential coherence which can explain why some succeed while others fail in open innovation. 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.