2019
DOI: 10.1007/s11192-019-03321-7
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Network inertia and inbound open innovation: is there a bidirectional relationship?

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Cited by 9 publications
(6 citation statements)
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References 133 publications
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“…As shown in Table 3, the descriptive statistics contain minimum, maximum, mean and standard deviation. In addition, owing to the large difference in the range of experimental variables, drawing on the work of Shi and Zhang (2020), we performed the log-transformation process on independent variables, control variables and adjustment variables to reduce potential heteroscedasticity and facilitate model fitting.…”
Section: Analysis and Resultsmentioning
confidence: 99%
“…As shown in Table 3, the descriptive statistics contain minimum, maximum, mean and standard deviation. In addition, owing to the large difference in the range of experimental variables, drawing on the work of Shi and Zhang (2020), we performed the log-transformation process on independent variables, control variables and adjustment variables to reduce potential heteroscedasticity and facilitate model fitting.…”
Section: Analysis and Resultsmentioning
confidence: 99%
“…In our context, network centrality describes a firm’s position in the status hierarchy and the degree of its independent access to valuable resources and other network agents (Ahuja, 2000; Sharma et al , 2019). Furthermore, higher network centrality in an innovation network can provide the firm a platform for social interaction to acquire various network benefits (Perez-Luno et al , 2011; Shi and Zhang, 2019), thus improving the capacity of a firm to conduct incremental innovations.…”
Section: Theories and Hypothesesmentioning
confidence: 99%
“…Hung and Wang (2010) found most patent citation activities have relations with the patents of high betweenness centrality. Shi et al (2020) found that enterprises with high network inertia in innovative networks are less likely to seek resources beyond their boundaries by studying patent data collected by the smartphone industry from 2000 to 2017. Hua and Wang (2015) studied the effect of network structure on innovation efficiency by establishing the simulation model of the innovation process under the environment of innovation networks.…”
Section: Research Papermentioning
confidence: 99%