 Building exploration and exploitation in the high-tech industry: The role of relationship learningChao-Hung Wang and Li-Chang Hsu Technological Forecasting and Social Change, 2014, vol. 81, issue C, 331-340 Abstract: This study advances prior theoretical research by linking relationship learning to exploratory and exploitative innovations. Findings indicate that relationship learning contributes significantly to both exploratory and exploitative innovations. We argue that power asymmetry needs to be taken into account to fully understand the effectiveness of relationship learning. We present a model for analyzing relationship learning, power asymmetry, as well as their impacts on innovative outcome. Specifically, using a sample of 241 high-tech firms, we find that power asymmetry does not significantly moderate the impact of relationship learning on exploratory innovation. However, power asymmetry significantly increases the impact of relationship learning on exploitative innovation. Hence, this study contributes to the debate on the role of relationship learning on generating exploration and exploitation, not only by examining how relationship learning impacts specific innovative outcomes, but also by revealing how the impact of relationship learning is moderated by power asymmetry. Keywords: Exploration; Exploitation; Relationship learning; Power asymmetry (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:81:y:2014:i:c:p:331-340 DOI: 10.1016/j.techfore.2013.04.008 Access Statistics for this article Technological Forecasting and Social Change is currently edited by Fred Phillips More articles in Technological Forecasting and Social Change from Elsevier |
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