Collaboration for R&amp;D Projects between the Industry and External Agents: Evidence from Manufacturing Companies in Peru

Arenas, Juan Jesús; González, Domingo

doi:10.1080/10978526.2019.1573640

Cited by 4 publications

(2 citation statements)

References 73 publications

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“…The first survey was carried out in 2012 and covered the period from 2009 to 2011, while the second survey was carried out in 2015 and covered the period from 2012 to 2014. The ENIIM has been used in previous studies on management issues and published in international journals; see, for example, Heredia-Pérez et al (2019), Arenas and Gonzalez (2019) and Del Carpio-Gallegos and Miralles-Torner (2018).…”

Section: Data Collection and Methodologymentioning

confidence: 99%

Assessing the effects of human capital composition, innovation portfolio and size on manufacturing firm performance

Luna

Opazo‐Basáez

Cantín

et al. 2020

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Purpose This paper aims to focus on the effects of human capital composition, innovation portfolio and size on manufacturing firms’ performance. Moreover, it seeks to empirically identify the levels of education that are significant in labour productivity. Design/methodology/approach The resource-based view (RBV) theory is applied using data gathered from the National Innovation Survey in the Manufacturing Industries of Peru. Using the ordinary least squares method on a sample of 584 Peruvian manufacturing firms, the effects on firm performance of two subsamples according to innovation portfolio and firm size are determined. Findings The direct effects of human capital composition on productivity show that the higher the workers’ educational level, the higher the productivity. However, if this relationship is analysed in terms of the innovation portfolio, the authors find that labour productivity in companies with product–service innovation is greater (i.e. more significant) than in traditional manufacturing firms with only product innovations. Similarly, if this relationship is compared in terms of company, the authors find that large companies are more significant than small and medium-sized enterprises. Practical implications The study furthers the understanding of how the relationship between human capital composition, innovation portfolio and size of manufacturing firms positively affects labour productivity. Hence, it can help managers to craft their innovation portfolio according to the educational level of their human capital. This could require that not only human resource management innovates, but also that strategic partnerships be developed with educational establishments to boost training towards product–service innovation. Originality/value This study’s results provide confirmation that the configuration of human resources, innovation portfolio and size plays a significant role on manufacturing firms’ performance, particularly in the context of developing countries.

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Section: Data Collection and Methodologymentioning

confidence: 99%

Assessing the effects of human capital composition, innovation portfolio and size on manufacturing firm performance

Luna

Opazo‐Basáez

Cantín

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Generally speaking, Peruvian companies face a large informal sector (Heredia-P erez, Kunc, Durst, Flores, & Geldes, 2018), a lack of financial resources to develop their innovations and the innovation ecosystem's infancy (ECLAC, 2022). In addition, this research acquires importance because, even though, over the last 10 years, the Peruvian government has become active in promotion, incentives and support for the development of innovations created by companies, especially for those companies that collaborate in R&D projects with universities (Arenas & Gonzalez, 2019), little is known about their results.…”

Section: Introductionmentioning

confidence: 99%

Innovation and performance in Peruvian manufacturing firms: does R&D play a role?

Luna

Moya-Fernández

Cancino

2023

RAUSP

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Purpose This paper aims to study whether Peruvian manufacturing firms that implement innovation have positive performance and whether R&D activities moderate these relationships. Design/methodology/approach Using a data set of Peruvian manufacturing firms from the 2018 National Survey of Innovation, a LOGIT model analysis was applied to 774 companies. In addition, the authors fitted different models into subsamples to explore the moderating effects of R&D on manufacturing firms. Finally, the regression models were computed using R software. Findings The results indicate that product, service and marketing innovation are associated positively with an increase in market share, while process and organizational innovations are associated positively with productivity. Moreover, companies with R&D are more productivity-oriented than companies without R&D. Research limitations/implications This study contributes to the literature on innovation management by supporting the assumption that innovation results in increased productivity and expands market demand. In addition, findings highlight that R&D is essential for boosting firms’ productivity. Practical implications Managers should consider an appropriate combination of the innovation portfolio and R&D investments to make progress and increase performance in the company. In addition, policymakers should consider that investments to promote the development of R&D activities in manufacturing companies will likely lead to médium- or long-term returns. Social implications The correct use of indicators to measure these relationships could help the policymaker to design and measure policy instruments more efficiently. Originality/value These results provide a deeper understanding of how the effects of innovations implemented by manufacturing firms, especially service and process innovation, improve their performance.

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Are Peruvian manufacturing firms product-based or service-based businesses? Effects of innovation activities, employee level of education and firm size

Luna

Alvarez-Salazar

2021

Technology Analysis & Strategic Management

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Collaboration for R&D Projects between the Industry and External Agents: Evidence from Manufacturing Companies in Peru

Cited by 4 publications

References 73 publications

Assessing the effects of human capital composition, innovation portfolio and size on manufacturing firm performance

Assessing the effects of human capital composition, innovation portfolio and size on manufacturing firm performance

Innovation and performance in Peruvian manufacturing firms: does R&D play a role?

Are Peruvian manufacturing firms product-based or service-based businesses? Effects of innovation activities, employee level of education and firm size

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