The strategic allocation of inventors to R&amp;D collaborations

Palomeras, Neus; Wehrheim, David

doi:10.1002/smj.3233

Cited by 21 publications

(13 citation statements)

References 105 publications

(179 reference statements)

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“…Although patents and alliances are two MD 61,13 different concepts, it is considered that their impact on R&D efficiency goes in the same direction, since patents and alliances have a close relationship with the KPP, through the inclusion of new business know-how, and with the KCP, once they are carried out through the monetization of their results. Therefore, the phases have a direct impact, and in the same direction, on the performance of companies in the pharmaceutical sector (Palomeras and Wehrheim, 2021), and we carry out a joint review of both concepts.…”

Section: Relationship Between Kpp and Kcp: Business Alliances And Pat...mentioning

confidence: 99%

Knowledge production and commercialization from R&D: the pharmaceutical sector

Valderrama

Sánchez-Ortiz

Mulero-Mendigorri

2023

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PurposeThe objective of this work is to demonstrate the relationships between the two main processes of research and development (R&D) activities: the knowledge generation phase (KPP) and the knowledge commercialization, or transfer, phase (KCP), in a sector that is intensive in this type of activity, such as the pharmaceutical sector. In addition, within the framework of the general objective of this work, the authors propose two other objectives: (1) make advances in network efficiency measurement models, and (2) determine the factors associated with efficiency in the KPP and in the KCP in companies of the pharmaceutical sector in Spain.Design/methodology/approachA Network Data Envelopment Analysis (NDEA) model (Färe and Grosskopf, 2000) with categorical variables (Lee et al., 2020; Yeh and Chang, 2020) has been applied, and a sensitivity analysis of the obtained results has been performed through a DEA model of categorical variables, in accordance with the work of Banker and Morey (1986), to corroborate the results of the proposed model. The sample is made up of 77 companies in the pharmaceutical sector in Spain.FindingsThe results obtained point to a greater efficiency of pharmaceutical companies in the KPP, rather than in the KCP. Furthermore, the study finds that 1) alliances between companies have been the accelerating factors of efficiency in the KCP (but patents have slowed this down the most); 2) the quality of R&D and the number of R&D personnel are the factors that most affect efficiency in the KPP; and 3) the quality of R&D again, the benefits obtained and the position in the market are the factors that most affect efficiency in the KCP.Originality/valueThe authors have not found studies that show whether the efficiency obtained by R&D-intensive companies in the KPP phase is related to better results in terms of efficiency in the KCP phase. No papers have been found that analyse the role of alliances between R&D-intensive companies and patents, as agents that facilitate efficiency in the KCP phase, covering the gap in the research on both problems. Notwithstanding, this work opens up a research path which is related to the improvement of network efficiency models (since it includes categorical variables) and the assessment of the opinions of those who are responsible for R&D departments; it can be applied to decision-making on the aspects to improve efficiency in R&D-intensive companies.

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Section: Relationship Between Kpp and Kcp: Business Alliances And Pat...mentioning

confidence: 99%

Knowledge production and commercialization from R&D: the pharmaceutical sector

Valderrama

Sánchez-Ortiz

Mulero-Mendigorri

2023

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“…[2008]; Banal‐Estañol et al . [2018]; Bena and Li [2014]; Palomeras and Wehrheim [2021]). Each deal group includes the matched pair plus ten counterfactual pairs.…”

Section: Econometric Analysismentioning

confidence: 99%

“…Section III(iii)(c) shows that there is enough dispersion across overlap metrics to separately identify the coefficients of interest. In the 'logit-counterfactual' approach, identification hinges on exploiting variation in the explanatory variables across pairs within deal groups (see Agrawal et al [2008]; Banal-Estañol et al [2018]; Bena and Li [2014]; Palomeras and Wehrheim [2021]). Each deal group includes the matched pair plus ten counterfactual pairs.…”

Section: Iii(iii)(c) Descriptive Statisticsmentioning

confidence: 99%

“…[2008]; Banal‐Estañol et al . [2018]; Bena and Li [2014]; Palomeras and Wehrheim [2021]). We create a cross‐section that includes matched pairs with effective transaction dates for the years 1990–2010 and a selection of unmatched counterfactual pairs.…”

Section: Introductionmentioning

confidence: 99%

“…To study firm matching in a regression framework we adopt the 'logit-counterfactual' approach used in similar applications (see Agrawal et al [2008]; Banal-Estañol et al [2018]; Bena and Li [2014]; Palomeras and Wehrheim [2021]). We create a cross-section that includes matched pairs with effective transaction dates for the years 1990-2010 and a selection of unmatched counterfactual pairs.…”

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confidence: 99%

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Firm Matching in the Market for Technology: Business Stealing and Business Creation*

Arqué‐Castells,

Spulber

2023

The J Industrial Economics

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We propose an empirical framework for studying the prevalence of business creation and business stealing in technology transfers from the effect of technological overlap and product market overlap. We estimate the model on a new dataset that tracks interactions in the market for technology between publicly held US companies. Product market overlap has a negative effect on matching patterns that is suggestive of business stealing while technological proximity has a positive effect that is consistent with business creation. We assess the relevance of IP rights in deterring undesirable technology adoptions and discuss the suitability of alternative strategies of technology exchange.

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National innovation policies and knowledge acquisition in international alliances

Friedmann

Pedersen

2023

Global Strategy Journal

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Research summaryInternational alliances facilitate learning among firms by providing access to knowledge embedded in different countries, yet we do not know how the partnering firms' distinct national contexts shape their learning in alliances. This study brings together research on learning in alliances and research on national innovation systems to examine how innovation policies in the respective home countries of the focal firms and their partners can increase the effectiveness of knowledge acquisition in alliances. Our analyses indicate that supply‐side innovation policies in the focal firms' home countries and demand‐side policies in their partners' home countries increase the focal firms' knowledge acquisition from their partners.Managerial summaryFirms engaging in alliances should consider their national innovation system as a strategic resource they can leverage not only to improve their own knowledge sourcing but also to become a more attractive partner in international alliances, potentially opening opportunities for engaging in reciprocal knowledge exchange. Managers can expect more learning opportunities when allying with foreign partners from countries with innovation policies that stimulate public technology purchasing or encourage public–private R&D collaboration. In turn, managers of firms from countries with innovation policies that provide funding and talent for R&D can capitalize on these resources to improve their firms' knowledge acquisition from foreign partners.

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The strategic allocation of inventors to R&D collaborations

Abstract: In this paper, we suggest that staffing decisions in R&D alliances can reduce the inherent tension between value creation and value protection faced by participating firms. By considering

Cited by 21 publications

References 105 publications

Knowledge production and commercialization from R&D: the pharmaceutical sector

Knowledge production and commercialization from R&D: the pharmaceutical sector

Firm Matching in the Market for Technology: Business Stealing and Business Creation*

National innovation policies and knowledge acquisition in international alliances

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