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Title: Leveraging dynamic export capabilities for competitive advantage and performance consequences: Evidence from China
Authors: Efrat, K.
Hughes, Paul
Nemkova, Ekaterina
Souchon, Anne L.
Sy-Changco, J.
Keywords: Competitive advantage
Adaptability
Innovativeness
Unpredictability
Task flexibility
Performance
Issue Date: 2017
Publisher: © Elsevier
Citation: EFRAT, K. ...et al., 2017. Leveraging dynamic export capabilities for competitive advantage and performance consequences: Evidence from China. Journal of Business Research, 84, pp. 114-124.
Abstract: As the business arena becomes more global and therefore dynamic, organizations must balance their capabilities with the demands and the conditions of the international marketplace. This leads firms to trade off the development of more capabilities with the identification of core capabilities which can best improve export competitiveness and performance. Based on the Dynamic Capabilities Approach (DCA), we develop a model of four export capabilities, namely adaptability, innovativeness, unpredictability, and task-flexibility, aimed at achieving competitive advantage in foreign markets and enhance export performance. Based on a survey of 213 Chinese exporting organizations, we find out that innovativeness, unpredictability and task-flexibility are positively related to competitive advantage, while adaptability is negatively related to it. Moreover, we uncovered that in the cases of adaptability, innovativeness and task-flexibility their impact on competitive advantage diminishes under higher levels of competitive intensity, however, for unpredictability this impact becomes negative. We also confirm the necessity of addressing competitive advantage separately from firms’ performance.
Description: This paper is in closed access until 1st June 2019.
Version: Accepted for publication
DOI: 10.1016/j.jbusres.2017.11.018
URI: https://dspace.lboro.ac.uk/2134/27528
Publisher Link: https://www.sciencedirect.com/science/journal/01482963
https://doi.org/10.1016/j.jbusres.2017.11.018
ISSN: 0148-2963
Appears in Collections:Closed Access (Business School)

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