2020
DOI: 10.1108/ccsm-12-2019-0231
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Post-entry growth in scope and scale among Chinese multinational enterprises: a structural embeddedness explanation

Abstract: PurposeBoth the scope of postentry growth and the scale of postentry growth are essential for Chinese multinational enterprises' aggressive internationalization. Yet, prior literature has not considered the synergistic approach of postentry growth that seeks the scope of growth and the scale of growth simultaneously. Building upon the embeddedness perspective and the learning view, we address how structural embeddedness directly affects firms' postentry growth in the form of scope and scale and indirectly affe… Show more

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Cited by 5 publications
(5 citation statements)
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“…We discovered that comparison through t-statistics was not significant. Thus, our dataset is far from NRB, and we can generalize the discoveries to the bigger population ( Armstrong and Overton, 1977 ; Shi et al, 2021 ). Secondly, we executed CMB, a critical concern in quantitative studies.…”
Section: Methodsmentioning
confidence: 99%
“…We discovered that comparison through t-statistics was not significant. Thus, our dataset is far from NRB, and we can generalize the discoveries to the bigger population ( Armstrong and Overton, 1977 ; Shi et al, 2021 ). Secondly, we executed CMB, a critical concern in quantitative studies.…”
Section: Methodsmentioning
confidence: 99%
“…The study compared the mean differences between the 339 valid surveys and the 25 invalid surveys on four key study variables and demographic characteristics (i.e., subsidiary age, size, R&D intensity, and industry type) using t-tests. Besides, we used independent samples t-test (at a 5% significant level) to compare the mean differences between early respondents and late respondents on demographic variables (Armstrong and Overton, 1977;Shi et al, 2021); none of the statistics reveals a significant difference for the study. Hence, our results suggest that the data is free from NRB.…”
Section: Non-response Bias and Common Methods Biasmentioning
confidence: 99%
“…First, all the empirical findings exhibited by this research stem from quantitative data, which was employed to examine the research phenomenon; it could be necessary for future researchers to engage the qualitative method to shed more light on the association among the variables. Second, the current research only considers the association among the constructs under the control roles of subsidiary age, size, R&D intensity, and industry type to account for dissimilarities in innovation outcome without considering their moderating influences or the other moderating roles of strategic variables such as ownership type of subsidiaries, collaborative know-how, prior experience, learning capacity, and organizational supports (Boadu et al, 2021b;Shi et al, 2021). In future studies, we believe that researchers can scrutinize the correlation between the constructs under the moderating mechanisms of these factors to offer an unfathomable comprehension of the association among them.…”
Section: Limitations and Future Directionmentioning
confidence: 99%
“…Often, "structural embeddedness refers to a desirable position, and the configuration of the tie-weaving structure around such position, held by individual firms, to lever inter-organizational learning. If participating firms in collaboration can build up a desirable position in a network, they can acquire more diversified and richer information" (Koka and Prescott, 2002;Swierczek, 2019;Shi et al, 2020;Han et al, 2020). Thus, structural embeddedness focuses more on network systems than dyadic or triadic collaboration activities.…”
Section: Literature Reviewmentioning
confidence: 99%