Jean Pierre Seclen-Luna, Marco Opazo-Basáez, Lorea Narvaiza and Pablo Jose Moya Fernández
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…
Abstract
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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Jean Pierre Seclen-Luna, Pablo Moya-Fernandez and Christian A. Cancino
This paper aims to study whether Peruvian manufacturing firms that implement innovation have positive performance and whether R&D activities moderate these relationships.
Abstract
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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Casado will likely be replaced by Galician President Alberto Feijoo, who faces the difficult task of restoring public confidence in the PP and undermining support for the…
Details
DOI: 10.1108/OXAN-DB267603
ISSN: 2633-304X
Keywords
Geographic
Topical
Joana Baleeiro Passos, Daisy Valle Enrique, Camila Costa Dutra and Carla Schwengber ten Caten
The innovation process demands an interaction between environment agents, knowledge generators and policies of incentive for innovation and not only development by companies…
Abstract
Purpose
The innovation process demands an interaction between environment agents, knowledge generators and policies of incentive for innovation and not only development by companies. Universities have gradually become the core of the knowledge production system and, therefore, their role regarding innovation has become more important and diversified. This study is aimed at identifying the mechanisms of university–industry (U–I) collaboration, as well as the operationalization steps of the U–I collaboration process.
Design/methodology/approach
This study is aimed at identifying, based on a systematic literature review, the mechanisms of university–industry (U–I) collaboration, as well as the operationalization steps of the U–I collaboration process.
Findings
The analysis of the 72 selected articles enabled identifying 15 mechanisms of U–I collaboration, proposing a new classification for such mechanisms and developing a framework presenting the operationalization steps of the interaction process.
Originality/value
In this paper, the authors screened nearly 1,500 papers and analyzed in detail 86 papers addressing U–I collaboration, mechanisms of U–I collaboration and operationalization steps of the U–I collaboration process. This paper provides a new classification for such mechanisms and developing a framework presenting the operationalization steps of the interaction process. This research contributes to both theory and practice by highlighting managerial aspects and stimulating academic research on such timely topic.