Linking the firm’s knowledge network and subsequent exploratory innovation: a study based on semiconductor industry patent data

Yoon, Sejun; Marhold, Klaus; Kang, Jina

doi:10.1080/14479338.2017.1358101

Cited by 8 publications

(9 citation statements)

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“…Therefore, regarding the merging parties' knowledge elements as network nodes (Vaccario et al, 2018;Wang et al, 2014;Guan and Liu, 2016), some scholars have indicated that recombing pre-M&A technology areas of the merging parties will lead to reconstruction of the combined firm's internal knowledge network (Yoon et al, 2017;Shin et al, 2017). Acquirers' knowledge bases can be expanded over time by acquiring and leveraging targets' knowledge resources (Yoon et al, 2017;Choi and McNamara, 2018). Acquisitions can also help firms learn architectural knowledge to understand interdependencies between different knowledge domains and recombine them (Yayavaram et al, 2018;Carnabuci and Operti, 2013).…”

Section: Influence Of Change In Internal Knowledge Network Couplingmentioning

confidence: 99%

“…Prior studies have considered firms to be doubly embedded, in one network formed by firms' collaboration relationships and in another composed of linkages between knowledge elements (Wang et al, 2014;Guan and Liu, 2016;Brennecke and Rank, 2017). A firm's internal knowledge network can be thought of as a set of knowledge elements (Shin et al, 2017;Yoon et al, 2017). The inter-connection between them leads to new combinations based on the existing knowledge stock or new knowledge domains (Guan and Liu, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Coevolution of post-merger integration and dual knowledge networks reconstruction: evidence from Chinese overseas acquisitions

Chen

Wang

Zhu

2022

CMS

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Purpose Post-merger integration (PMI) is driven by coevolving processes. By integrating the literature on acquisitions with that of knowledge networks, this paper highlights different reconstruction mechanisms for dual knowledge networks during PMI – namely, internal knowledge network coupling and external knowledge network embeddedness. This paper aims to examine their coevolutionary relationships with PMI. Design/methodology/approach A coevolutionary framework is tested using a latent growth model and cross-lagged models. The analysis is based on longitudinal data collected from 116 Chinese technology-sourcing overseas merger and acquisition firms. Findings This paper unearths a novel idea that variations in post-merger reconstruction of dual knowledge networks can explain why some acquirers increase the degree of integration faster than the others. The results show that the internal knowledge network coupling leads to more knowledge similarity and, in turn, causes a higher degree of integration. The external knowledge network embeddedness also causes higher relative network status of the acquirer, which consequently leads to a higher degree of integration. Furthermore, results from cross-lagged models confirm that an increase in the degree of integration positively influences subsequent changes in the internal knowledge network coupling and external knowledge network embeddedness, thus forming a coevolutionary relationship over time. Originality/value This paper responds to recent calls for more insights into the dynamics of PMI. By highlighting different reconstruction mechanisms for internal and external knowledge networks during PMI, this paper explains why it is important to understand PMI dynamics from a dual knowledge network perspective. This paper is the first to adopt a coevolutionary perspective and provide a more comprehensive dynamic framework between PMI and reconstruction of dual knowledge networks. Besides, this paper contributes to the research on emerging market multinational corporations’ cross-border merger and acquisition integration from a dynamic perspective, revealing the time effects of traditionally favored light-touch integration.

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Section: Influence Of Change In Internal Knowledge Network Couplingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Coevolution of post-merger integration and dual knowledge networks reconstruction: evidence from Chinese overseas acquisitions

Chen

Wang

Zhu

2022

CMS

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“…Consequently, patents can be considered proxies of innovation (Watanabe et al, 2001). According to the work of Yoon et al (2017) patents can be considered as a container of knowledge elements, while Phelps et al (2012) call them "discrete knowledge artefacts," alongside papers and products.…”

Section: Patents As a Basis For Studying Knowledge Flowsmentioning

confidence: 99%

“…In this research, the future flow of knowledge is explored by predicting the co-contribution of patents to future inventions, where patents are considered knowledge containers (Yoon et al, 2017). A link prediction algorithm is chosen and applied to a patent co-citation network with the goal of predicting future patent co-citations.…”

Section: Introductionmentioning

confidence: 99%

Exploring knowledge flow within a technology domain by conducting a dynamic analysis of a patent co-citation network

Smojver

Štorga

Zovak

2020

JKM

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Purpose This paper aims to present a methodology by which future knowledge flow can be predicted by predicting co-citations of patents within a technology domain using a link prediction algorithm applied to a co-citation network. Design/methodology/approach Several methods and approaches are used: a dynamic analysis of a patent citation network to identify technology life cycle phases, patent co-citation network mapping from the patent citation network and the application of link prediction algorithms to the patent co-citation network. Findings The results of the presented study indicate that future knowledge flow within a technology domain can be predicted by predicting patent co-citations using the preferential attachment link prediction algorithm. Furthermore, they indicate that the patent – co-citations occurring between the end of the growth life cycle phase and the start of the maturation life cycle phase contribute the most to the precision of the knowledge flow prediction. Finally, it is demonstrated that most of the predicted knowledge flow occurs in a time period closely following the application of the link – prediction algorithm. Practical implications By having insight into future potential co-citations of patents, a firm can leverage its existing patent portfolio or asses the acquisition value of patents or the companies owning them. Originality/value It is demonstrated that the flow of knowledge in patent co-citation networks follows a rich get richer intuition. Moreover, it is show that the knowledge contained in younger patents has a greater chance of being cited again. Finally, it is demonstrated that these co-citations can be predicted in the short term when the preferential attachment algorithm is applied to a patent co-citation network.

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“…Organisations and organisational scholars are particularly interested in the role of online knowledge flows. This is because knowledge and knowledge sharing are key to bringing about innovation in organisations (Kim & Chung, 2017;Nambisan et al, 2017;Yoon et al, 2017), which many organisations consider to be at the core of their business model and strategies. The creation and diffusion of knowledge in organisations is an important theme in organisational research (Baralou & Tsoukas, 2015;Cross et al, 2001;Haas & Hansen, 2007;Hansen et al, 2005;Kane et al, 2014;Lee & Cole, 2003;Nonaka, 1994).…”

Section: Introductionmentioning

confidence: 99%

Expanding organisational knowledge online: the role of bridging members in knowledge expansion in online groups

2020

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Linking the firm’s knowledge network and subsequent exploratory innovation: a study based on semiconductor industry patent data

Cited by 8 publications

References 50 publications

Coevolution of post-merger integration and dual knowledge networks reconstruction: evidence from Chinese overseas acquisitions

Coevolution of post-merger integration and dual knowledge networks reconstruction: evidence from Chinese overseas acquisitions

Exploring knowledge flow within a technology domain by conducting a dynamic analysis of a patent co-citation network

Expanding organisational knowledge online: the role of bridging members in knowledge expansion in online groups

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