Innovation efficiency and firm performance in a benchmarking context

Kanellopoulos, Vassilis; Tsekouras, Kostas

doi:10.1002/mde.3670

Cited by 3 publications

(2 citation statements)

References 103 publications

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“…For example, Erdin and Ça glar (2022) and Feng et al (2021) showed that Greece's performance in using innovation resources efficiently to generate innovation outputs was below the average. Kanellopoulos and Tsekouras (2023), who analyzed the micro level and the dataset of 1274 innovative manufacturing firms, found that Greek companies could produce the same innovation outputs using significantly fewer innovation resources. To be precise, Aytekin et al (2022) estimated that Greece lacks knowledge, technology, and creative output and should be able to produce 3.14% more outputs with the current input levels.…”

Section: Discussionmentioning

confidence: 99%

European Union Innovation Efficiency Assessment Based on Data Envelopment Analysis

et al. 2023

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Though much attention is dedicated to the development of its research and innovation policy, the European Union constantly struggles to match the level of the strongest innovators in the world. Therefore, there is a necessity to analyze the individual efforts and conditions of the 27 member states that might determine their final innovative performance. The results of a scientific literature review showed that there is a growing interest in the usage of artificial intelligence when seeking to improve decision-making processes. Data envelopment analysis, as a branch of computational intelligence methods, has proved to be a reliable tool for innovation efficiency evaluation. Therefore, this paper aimed to apply DEA for the assessment of the European Union’s innovation efficiency from 2000 to 2020, when innovation was measured by patent, trademark, and design applications. The findings showed that the general EU innovation efficiency situation has improved over time, meaning that each programming period was more successful than the previous one. On the other hand, visible disparities were found across the member states, showing that Luxembourg is an absolute innovation efficiency leader, while Greece and Portugal achieved the lowest average efficiency scores. Both the application of the DEA method and the gathered results may act as viable guidelines on how to improve R&I policies and select future investment directions.

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Section: Discussionmentioning

confidence: 99%

European Union Innovation Efficiency Assessment Based on Data Envelopment Analysis

et al. 2023

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“…On the other hand, ref. [56] investigated the relationship between external innovation spillovers and firm performance and found no significant effect between these variables.…”

Section: Regional and Urban Economics Perspectivementioning

confidence: 99%

An Interdisciplinary and Multilevel Analysis of Local Economy Determinants and Their Impact on Firm Performance—Considering Porter’s Diamond Model, Clusters, and Industry

Lehene,

Jaradat,

Nistor

2024

Systems

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Industrial Organization, the Resource-Based View, and the Relational View are some classical, well-established, and widely accepted theories in the strategic management domain regarding the understanding, explanation, and prediction of competitive advantage of firms and above-average firm performance. Recent evidence of economic geography and regional economics added to this stream of research new perspectives like cluster theory and microeconomic competitiveness. Despite the high enthusiasm with which companies and policymakers embraced the new advancements, there is some contradictory evidence regarding the positive effect of local conditions on firm performance. Thus, in this paper, we aim to empirically test some aspects of a modern regional development theory, proposed mainly by Michael Porter and collaborators, and the impact of these aspects on firm performance. External determinants considered at three levels of analysis (local economy, local clusters, and industry) will be investigated in relation to firm performance. We will analyze empirical data through detailed correlational analyses and by building multilinear regression models. After the statistical analysis of the answers provided directly by 67 medium and large manufacturing companies operating in Romania, we will provide empirical support for some external determinants, while for other determinants, we will show that the data rejected the proposed associations. The main conclusion derived from this study is that different combinations of external determinants, considered at all three levels of analysis, have a positive and significant effect on different measures of firm performance. The findings in our paper are important for both regional economics and the strategic management literature, suggesting the importance of creating local or urban conditions depending on the type of performance that the firms in the local economy are underperforming.

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Do weak institutions undermine global innovation production efficiency?

Blanco

Goel

2023

J Technol Transf

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This paper focuses on institutional influences on innovation efficiency across countries. Whereas various causes and effects of technological change have been examined, empirical investigations of the efficiency involved in innovation production are relatively few. Using data on a large sample of nations over 2018-2020 and considering corruption, regulatory quality, and state fragility as alternative institutional dimensions, our results show that greater corruption facilitates ("greases") efficiency in the production of innovations. This is also the case with improvements in regulatory quality, while greater state fragility increases inefficiency. These findings for the overall sample are somewhat different for the OECD and non-OECD subsamples, although the greasing effect of corruption remains throughout. A robustness check with patent protection and government size as alternative institutional dimensions is also conducted.

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Innovation efficiency and firm performance in a benchmarking context

Cited by 3 publications

References 103 publications

European Union Innovation Efficiency Assessment Based on Data Envelopment Analysis

European Union Innovation Efficiency Assessment Based on Data Envelopment Analysis

An Interdisciplinary and Multilevel Analysis of Local Economy Determinants and Their Impact on Firm Performance—Considering Porter’s Diamond Model, Clusters, and Industry

Do weak institutions undermine global innovation production efficiency?

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