Absorbing knowledge from supply-chain, industry and science: The distinct moderating role of formal liaison devices on new product development and novelty

Cruz‐González, Jorge; López‐Sáez, Pedro; López, José Emilio Navas

doi:10.1016/j.indmarman.2015.02.036

Cited by 57 publications

(46 citation statements)

References 81 publications

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“…Additionally, knowledge spillovers from universities to companies occur and may enhance the firm's ability to understand and merge existing technologies (Belderbos et al, ). But the effects are contrary to Cruz‐González, López‐Sáez, and Navas‐López () who show that knowledge acquisition from universities has a direct negative effect on novelty. As the authors quote in their paper, they could not model real time lags in the estimation and applying panel data would eliminate these issues.…”

Section: Discussioncontrasting

confidence: 63%

Effects of University–Industry Collaboration on Technological Newness of Firms

Wirsich

Kock²,

Strumann³

et al. 2016

J of Product Innov Manag

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Exploring new technological opportunities and reacting to environmental changes are key factors for firm performance. Collaborating with external partners, especially universities, is considered to be a powerful engine of technological development. However, there are several barriers associated with university-industry collaboration (UIC), such as divergent cultures and competing objectives. Previous studies show rather mixed effects regarding the purported benefits of UIC, and empirical evidence on the effects of UIC on technological newness of innovation is lacking. This study investigates whether and under which conditions UIC enhances the recombination of extant knowledge across technologies and facilitates the implementation of novel technologies at the firm level. The paper is based on the resource based view of the firm and analyzes the interaction between collaboration diversity and UIC intensity. This longitudinal analysis examines joint publications and the patent data of 318 technology-oriented companies from the S&P 500 Index in the years 1985-2007. This study focuses on technological newness as the dependent variable, defined as the extent to which new technology fields are discovered as a result of either exploration of completely new technologies or the novel combination of existing technology fields. Results show that UIC has a significant positive effect on technological newness, with a time lag of two years. The effect follows an inverted U-shaped pattern in UIC portfolios with high diversity, and a U-shaped pattern when diversity is low. Practitioner PointsUIC can lead to technological newness, e.g., new technology fields by the extension or convergence of existing technology fields.

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Section: Discussioncontrasting

confidence: 63%

Effects of University–Industry Collaboration on Technological Newness of Firms

Wirsich

Kock²,

Strumann³

et al. 2016

J of Product Innov Manag

View full text Add to dashboard Cite

show abstract

“…Considering the benefits, previous studies have specifically investigated the inbound open innovation strategies, such as broad external knowledge search benefits and their impact on innovation performance (e.g., [33]). Some other studies investigated the impact of specific knowledge sources, such as customers and universities on firms' innovation capabilities [34,35]. However, in an organizational context, the inbound open innovation strategy, such as external technology acquisition (ETA), is often viewed as double-edged sword [36].…”

Section: Open Innovation Strategiesmentioning

confidence: 99%

External Technology Acquisition and External Technology Exploitation: The Difference of Open Innovation Effects

Tajudeen

Jaafar

Sulaiman

2019

Journal of Open Innovation: Technology, Market, and Complexity

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To sustain in today’s ever-changing and competitive landscape, firms must work within and outside of their organizations’ boundaries. Open innovation (OI) strategies such as external technology acquisition (ETA), and external technology exploitation (ETE), can effectively improve the innovation performance of the organizations. Technologies like social media can help organizations to scout for appropriate technology, and source for ideas and knowledge from external sources to support their innovations. Moreover, digitalization can hasten business operations and enhance the innovation process of the firm. Focusing on open innovation (OI), this study takes an integrated approach towards investigating the impact of OI strategies, technology scouting through social media, and digitalization vision on innovation and firm performance. Data were drawn from 153 organizations in Malaysia, and the partial least squares (PLS) method was used to analyze data. The findings revealed that ETE, technology scouting through social media, and digitalization vision have a significant relationship with innovation performance. This, in turn, shows a positive relationship with firm performance. However, ETA does not have a significant relationship with innovation performance in the Malaysia context. This study extends the current literature on OI through the use of specific technology variables, such as technology scouting through social media and digitalization vision to support organizations’ innovation.

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“…The purely internal view of innovation has been increasingly fading as recent literature has highlighted the merits of acquiring external knowledge and moved away from intramural research and development to open innovation (Cruz-González, López-Sáez, & Navas-López, 2015;Grimpe & Sofka, 2009;Huston & Sakkab, 2006). To cope with the increased complexity of innovation, research collaboration provides access to resources firms cannot generate internally.…”

Section: Introductionmentioning

confidence: 99%

Sources of open innovation in foreign subsidiaries: An enriched typology

Beule

Beveren

2019

International Business Review

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This paper analyzes the drivers of multinational affiliates' innovation, using a dataset based on the Community Innovation Survey for Belgium. Specifically, we investigate the role of external knowledge sources on foreign affiliates' research efforts and innovation. We thereby develop an enriched typology by taking both the MNC and the host country perspective into consideration and distinguish between different types of subsidiaries, in order to disentangle differences in the use of knowledge sources between technology exploiting, seeking and creating subsidiaries. Our findings show that technology-creating foreign affiliates are able to tap into a combination of industry-based value chain partners and science-based partners. In particular, a combination of clients and universities have a powerful impetus on the research effort of technology creating firms. Our results also indicate that technology-seeking subsidiaries make more use of collaboration with competitors. Technology exploiting subsidiaries make significantly less use of external knowledge sources and have a lower R&D intensity.

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Absorbing knowledge from supply-chain, industry and science: The distinct moderating role of formal liaison devices on new product development and novelty

Cited by 57 publications

References 81 publications

Effects of University–Industry Collaboration on Technological Newness of Firms

Effects of University–Industry Collaboration on Technological Newness of Firms

External Technology Acquisition and External Technology Exploitation: The Difference of Open Innovation Effects

Sources of open innovation in foreign subsidiaries: An enriched typology

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