The moderating effect of network power on relational risks and knowledge flow in R&amp;D network

Yang, Ning; Min, Guo; Wang, Jingbei; Zhang, Yanlu

doi:10.1108/md-05-2020-0662

Cited by 10 publications

(5 citation statements)

References 102 publications

(157 reference statements)

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“…, 2016). Do foreign firms with a larger financial risk appetite report more significant reactions to policy uncertainties (Yang et al. , 2021)?…”

Section: Discussionmentioning

confidence: 99%

“…The research and development process in pharmaceutical markets is risky, with each new molecule costing about USD 2.5 billion (DiMasi et al, 2016). Do foreign firms with a larger financial risk appetite report more significant reactions to policy uncertainties (Yang et al, 2021)? Are their risk behaviors governed by corporate governance structures adapted to emerging economies?…”

Section: Limitations and Directions For Future Researchmentioning

confidence: 99%

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Policy uncertainty and behavior of foreign firms in emerging economies

Karna

Mondal²,

Pingali

2022

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PurposeThis study aims to examine how foreign and domestic firms react to policy uncertainty in an emerging economy. In addition, the study investigates if older foreign firms better adapt to policy uncertainty than newer entrants.Design/methodology/approachThe study uses pharmaceutical sales data on India’s cardiovascular segment for January 2011–May 2016. The authors use fixed fixed-effects panel data regression to measure the market reactions of foreign and domestic firms faced with policy uncertainty.FindingsWhile domestic and foreign firms react similarly to anticipated policy changes, foreign firms react more adversely to policy uncertainty. Among foreign firms, early entrants respond less adversely than new entrants.Research limitations/implicationsForeign firms are able to cope with anticipated policy changes in similar vein as the domestic firms by way of a priori reading of the host country’s regulatory landscape. The foreign firms’ response to policy uncertainty is significantly different from domestic firms. The difference between the market response of foreign and domestic firms decreases over time.Practical implicationsThe authors' findings demonstrate that adaptability is the key for new foreign firms to face policy uncertainty. Foreign firms can respond to policy changes, especially the unanticipated ones by imbibing local practices.Social implicationsThe authors' findings suggest that enhanced policy uncertainty hurts foreign firms more adversely than domestic firms, and newer foreign firms are more hurt with policy uncertainty than the existing ones. Such uncertainty could also have unintended consequences for consumer welfare.Originality/valueThe authors' study uses two natural experiments in the same industry within short periods of time. The comparison offers key insights on the differences in domestic and foreign firm responses to the two types of policy uncertainty.

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“…, 2016). Do foreign firms with a larger financial risk appetite report more significant reactions to policy uncertainties (Yang et al. , 2021)?…”

Section: Discussionmentioning

confidence: 99%

Section: Limitations and Directions For Future Researchmentioning

confidence: 99%

Policy uncertainty and behavior of foreign firms in emerging economies

Karna

Mondal²,

Pingali

2022

View full text Add to dashboard Cite

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“…Knowledge recombination subdues knowledge lock-in effect during R&D process, facilitating R&D lead innovative outcomes, thus stabilizing R&D cooperative relationships. Sustenance in cooperative relationships demand long-term commitments and support, which not only strengthen mutual trust but evade opportunistic behavior (Pangarkar et al, 2017;Kumar and Zaheer, 2019;Yang et al, 2021). Knowledge recombination strengthens familiarity and trust between partners to reduce coordination and transaction costs, ultimately elevating network stability (Nooteboom, 1999;Grigoriou and Rothaermel, 2017).…”

Section: The Mediating Role Of Knowledge Recombinationmentioning

confidence: 99%

“…Existing studies suggest that the depth of cooperative relations between enterprises is affected by the relevance of knowledge resources they possess (Wassmer et al , 2017; Sánchez et al , 2021). There is a direct proportionality between relevance and cooperativeness; higher relevance is conducive to knowledge and information transfer between enterprises (Yang et al , 2021). More relevant knowledge is easy to be internalized that elevates familiarity and effectiveness in carrying out R&D activities to achieve strategic targets (Zheng and Yang, 2015; Belderbos et al , 2018).…”

Section: Theoretical Background and Research Hypothesesmentioning

confidence: 99%

On the duality of partner type diversity on network stability: the mediating role of knowledge recombination in R&D network

Guo,

Yang,

Wang

et al. 2023

JKM

Self Cite

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Purpose Previous research has analyzed the consequence of network stability; however, little is known about how partner type diversity influence network stability in R&D network. Based on knowledge-based view and social network theory, the purpose of this paper is to unravel the internal mechanisms between partner type diversity and network stability through the mediating role of knowledge recombination in R&D network. Design/methodology/approach The authors collected an unbalanced panel patent data set from information communication technology industry for the period 1994–2016. Then, the authors tested the different dimensions of partner type variety and its relevance in the R&D network and the mediating role of knowledge recombination through adopting the multiple linear regression. Findings Results indicate an inverted U-shaped relationship between partner type diversity (variety and relevance) and network stability, whereas knowledge recombination partially mediate these relationships. Originality/value From the perspective of R&D networks, this paper explores that there are the under-researched phenomena the antecedent of network stability through nodal attributes (i.e. partner type variety and partner type relevance). Moreover, this paper empirically examined the mediating role of knowledge recombination in the partner type diversity–network stability relationships. The novel perspective allows focal firm to recognize importance of nodal attributes, which are critical to fully excavate the potential capabilities of cooperating partners in R&D network.

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“…On the basis of the above-mentioned scholars' research, domestic and foreign scholars have focused on knowledge types, characteristics, flow, transfer, and diffusion and refined the relevant content of related knowledge research. From the perspective of research objects, previous work considers knowledge transfer and technology diffusion between enterprises (Yang et al, 2021), knowledge flow in sports organizations (Liu & Wang, 2020), and knowledge transfer in education and teaching (Bae et al, 2020). From the perspective of research content, the research of scholars is the main influencing factor of knowledge flow.…”

Section: Introductionmentioning

confidence: 99%

Simulation research on knowledge flow in a collaborative innovation network

Jiang

2023

Expert Systems

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This study takes diffusion capacity, absorptive capacity, and relationship strength as the main influencing factors, constructs models of knowledge flow in small‐world networks and scale‐free networks, and uses numerical simulation to observe the flow characteristics of explicit knowledge and tacit knowledge in different networks. The knowledge of explicit flow in different networks exhibits the phenomenon of knowledge emergence, but this phenomenon is more obvious in a small‐world network. The flow of tacit knowledge in a small‐world network has a better effect. In a scale‐free network, the quantity and frequency of knowledge flow are significantly higher than those in a small‐world network. The reason for this phenomenon is the differences in the response, connection and structure of different networks. The quantity and frequency of the flow of explicit knowledge in the same network are significantly higher than those of tacit knowledge. The reason for this phenomenon is the different types of knowledge flow in different modes, with different levels of flow difficulty and flow sustainability. First, this study visually compares the differences in flow between the two types of knowledge. Second, flow models of the two types of knowledge are constructed, and the flow characteristics of the two types of knowledge in different networks are simulated. Finally, the reasons for the differences in flow between the two types of knowledge are explained by using loosely coupled theory.

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The moderating effect of network power on relational risks and knowledge flow in R&D network

Cited by 10 publications

References 102 publications

Policy uncertainty and behavior of foreign firms in emerging economies

Policy uncertainty and behavior of foreign firms in emerging economies

On the duality of partner type diversity on network stability: the mediating role of knowledge recombination in R&D network

Simulation research on knowledge flow in a collaborative innovation network

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