Antecedents to Export Performance and How Italian and Slovanian SME's Innovate During Times of Crisis

Massaro, Maurizio; Rubens, Arthur; Bardy, Roland; Bagnoli, Carlo

doi:10.15549/jeecar.v4i1.153

Cited by 15 publications

(14 citation statements)

References 62 publications

(42 reference statements)

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“…Therefore, the annual values of indicators G1-G9, X1-X8, X10-X11 and Y for 2014-2018 comprised the statistical base of the study [74][75][76][77][78][79][80][81][82][83][84][85][86][87][88]. On their basis, the influence of state regulation instruments on the development of small and medium-sized businesses was simulated.…”

Section: G9mentioning

confidence: 99%

The Effectiveness of Russian Government Policy to Support SMEs in the COVID-19 Pandemic

Razumovskaia

Yuzvovich

Князева

et al. 2020

Journal of Open Innovation: Technology, Market, and Complexity

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This study was aimed at developing a cognitive—econometric model for assessing the effectiveness of the current governmental policies to support enterprises in Russia in the context of pandemic propagation. Using the Granger test and correlation analysis, we formed a system of key indicators that characterizes the economic development of SMEs (small and medium-sized enterprises) in Russia. Based on the revealed causal relationships and correlation coefficients, a model describing the impact of public policy support instruments on SME economic development was built using cognitive modeling. By means of the additive convolution method, the correlation coefficient between the Russia Small Business Index (RSBI) and the COVID-19 prevalence rate was used to predict the 2020 year-end RSBI value. Regarding the RSBI index forecast, the effectiveness of instruments of the state support for SMEs was evaluated. It was determined how much these indicators of the anti-crisis package of measures should change to increase SMEs’ business activities. The developed cognitive model can be utilized by private and governmental institutions to continuously monitor the effectiveness of public policies that support SMEs. It can also be used as a preventive indicator to evaluate the impact of the anti-crisis measures during pandemics and in the case of other exogenous risks threatening SMEs. The originality of the research results was determined by the econometric methods applied to empirically assess the effectiveness and degree of impact of governmental measures on the operation of SMEs under conditions of uncertainty.

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Section: G9mentioning

confidence: 99%

The Effectiveness of Russian Government Policy to Support SMEs in the COVID-19 Pandemic

Razumovskaia

Yuzvovich

Князева

et al. 2020

Journal of Open Innovation: Technology, Market, and Complexity

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show abstract

“…The results did not support the existence of causality between innovation and export, but indicate that the cause of causality is different between "young" and "adult" companies. The findings of the study showed that export performance is positively influenced by incremental innovation and risk preference and that there is a relationship between innovation and export performance (Massaro et al, 2017). Export market orientation as a strategic approach provides managers with specific skills and knowledge related to the foreign market and allows them to challenge innovative solutions for exports.…”

Section: Innovativeness and Exportmentioning

confidence: 92%

The Relationship Between Innovativeness and Export in Croatian Companies

Šlogar

Bezić

2019

pi-be

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The purpose of this paper is to examine the relationship between innovativeness and export in Croatian companies. The study involved 303 Croatian export companies from the manufacturing industry and the information and communication technology sector. The survey was conducted using the survey method over the last three months of 2016. For this purpose, Spearman rank correlation, the Kruskal-Wallis ANOVA test and canonical analysis were used. The results show that there is a positive relationship between innovativeness and export in Croatian companies. The results offer theoretical and managerial implications. This research has practical implications for Croatian companies to increase their efficiency and innovativeness. Value is reflected in the relationship between innovativeness and export and there is an important research gap in the literature on international trade, entrepreneurship and management. In the context of this research, it is likely that innovativeness influences a company's export activities, which can be positively reflected in creating and maintaining their competitive advantage on the international market.

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“…AI research initially focused on enough broad range of issues and applications within the concept of Industry 4.0 (the fourth industrial revolution), adding to the controversy over the stage of technological and economic development in current conditions and how innovative technologies will and can ensure the sustainability of economic growth [64][65][66]. The fourth stage of the industrial revolution is characterized by the introduction of cyberphysical systems into factory processes.…”

Section: Artificial Intelligence In the Energy Sectormentioning

confidence: 99%

Trends, Impacts, and Prospects for Implementing Artificial Intelligence Technologies in the Energy Industry: The Implication of Open Innovation

Dudnik

Vasiljeva²,

Kuznetsov

et al. 2021

Journal of Open Innovation: Technology, Market, and Complexity

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This research aims to substantiate the impact of using open innovation (OI) in the energy sector in readiness to implement artificial intelligence (AI) technologies and their effectiveness. The empirical method was proposed to determine the readiness level of OI for the implementation of AI technologies by comparing Russian and French energy companies. Readiness level indicators of companies for AI implementation using the Fibonacci sequence, Student’s t-test, and the method of fuzzy sets were empirically determined. The integrated readiness indicator for AI implementation by companies was calculated using the method of fuzzy sets and expressed through variance, allowing for these significant factors. Russian companies are at a low level of developmental readiness to implement AI, which is in contrast to companies operating in a developed market where the determining factor is the AI technology cost. The example of the innovative business model “Energy-as-a-Service” shows the synergistic effects of OI use and AI technology introduction. This paper is novel because it seeks to contribute to the current debate in the literature, justifying the position that energy companies that have in the past actively applied the concept of open innovation in business, are the most competitive and most efficient in implementing AI technologies.

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Antecedents to Export Performance and How Italian and Slovanian SME's Innovate During Times of Crisis

Cited by 15 publications

References 62 publications

The Effectiveness of Russian Government Policy to Support SMEs in the COVID-19 Pandemic

The Effectiveness of Russian Government Policy to Support SMEs in the COVID-19 Pandemic

The Relationship Between Innovativeness and Export in Croatian Companies

Trends, Impacts, and Prospects for Implementing Artificial Intelligence Technologies in the Energy Industry: The Implication of Open Innovation

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