Configuring Foreign Market Knowledge and Opportunity Recognition Capabilities to Predict the Performance of Export-Manufacturing Firms

MOSTAFIZ, Md Imtiaz, SAMBASIVAN, Murali, GOH, See-Kwong and AHMED, Paiman (2021). Configuring Foreign Market Knowledge and Opportunity Recognition Capabilities to Predict the Performance of Export-Manufacturing Firms. Knowledge Management Research and Practice.

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Official URL: https://www.tandfonline.com/doi/full/10.1080/14778...
Open Access URL: https://www.tandfonline.com/doi/epub/10.1080/14778... (Published)
Link to published version:: https://doi.org/10.1080/14778238.2021.1919573

Abstract

Export-manufacturing firms survive and ultimately succeed when they can accumulate, harvest, and utilize foreign knowledge to better marshal their capabilities to recognize opportunities. Prior studies are replete with a single solution by combining foreign market knowledge (FMK) and firm performance. Separately, opportunity recognition capabilities have been found efficacious to the performance. A shift from contingent theory to the configurational approach suggests that there are multiple solutions available to achieve intended outcomes. Based on the equifinality assumption, we configure FMK in conjunction with opportunity recognition capabilities to predict performance. In total, 382 export-manufacturing firms were investigated by employing fuzzy-set qualitative comparative analysis (fsQCA) and necessary condition analysis (NCA). Salient findings suggest that young firms achieve superior performance from foreign business and institutional knowledge by enhancing opportunity exploration capability; whereas, mature firms succeed from internationalization knowledge and nurturing opportunity exploitation capability. The study is one of which that contributes to the methodology by introducing fsQCA and NCA in the knowledge management literature.

Item Type: Article
Additional Information: This article was retrospectively made gold open access (June 2021).
Uncontrolled Keywords: Business & Management; 08 Information and Computing Sciences; 15 Commerce, Management, Tourism and Services; 17 Psychology and Cognitive Sciences
Identification Number: https://doi.org/10.1080/14778238.2021.1919573
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 13 Apr 2021 15:22
Last Modified: 20 Oct 2021 13:23
URI: https://shura.shu.ac.uk/id/eprint/28506

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