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Revisiting the relationship between knowledge search breadth and firm innovation: A knowledge transfer perspective

Ben Nanfeng Luo (School of Labor and Human Resources, Renmin University of China, Beijing, China)
Steven S. Lui (School of Management, UNSW Business School, UNSW Australia, Sydney, Australia)
Youngok Kim (School of Management, UNSW Business School, UNSW Australia, Sydney, Australia)

Management Decision

ISSN: 0025-1747

Article publication date: 13 February 2017

Issue publication date: 13 February 2017

1284

Abstract

Purpose

The purpose of this paper is to show that the high learning ability associated with innovative firms enables these firms to conduct a broad knowledge search based on a knowledge transfer perspective. This paper further shows that knowledge tacitness and relationship between knowledge senders and receivers will accentuate this positive relationship.

Design/methodology/approach

To test the proposed model, a pooled panel data set based on 102 Korean firms that participated in three waves of National Korean Innovation Surveys conducted in 2002, 2005, and 2008 is constructed. Since the independent variables are lagged in the analysis, the panel data comprised 204 firm-year observations of the 102 firms. Generalized estimating equations were used to analyze the effect of innovation on knowledge search breadth.

Findings

The authors found that absorptive capacity mediated the relationship between innovation and knowledge search breadth. This mediating relationship was stronger when a firm is not affiliated with any business group and operates in the high-technology industry.

Research limitations/implications

This paper showed that innovation is not only a consequence of knowledge search as found in existing literature, but also is a precursor to knowledge search.

Originality/value

This paper developed a novel theoretical model on innovation and knowledge search that highlights a virtuous cycle between innovation and knowledge search. Methodologically, the pooled panel data controlled for lagged effect and enhanced efficiency of econometric models, thus offered several advantages over cross-sectional data.

Keywords

Acknowledgements

This research was supported under the Australian Research Council’s Discovery Project funding Scheme (Project Number: DP110100880) awarded to Steven S. Lui, and the Start-up Research Grant (No. 30214105) awarded to Nanfeng Luo from Renmin University of China.

Citation

Luo, B.N., Lui, S.S. and Kim, Y. (2017), "Revisiting the relationship between knowledge search breadth and firm innovation: A knowledge transfer perspective", Management Decision, Vol. 55 No. 1, pp. 2-14. https://doi.org/10.1108/MD-07-2015-0327

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

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