Analysis of scientific and technological innovation influence factors affect enterprise performance

Ma, Jun; Ming-shun, Guo

doi:10.1504/ijims.2020.105031

Cited by 3 publications

(4 citation statements)

References 13 publications

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“…The results of path analysis through AMOS suggest a positive and significant influence of responsibility and analytical thinking on enterprise performance. These results are reinforced by scholars likeHuang and Hsueh (2007),Asem-Bansah et al (2012),Gross (2016),Boscoianu et al (2018),Khan et al (2020),Ma and Guo (2020),Dimitriou (2020),Khan et al (2021) andLe et al (2023), who suggested a significant effect of responsibility and analytical thinking on enterprise sustainability. The synergistic effects of these traits can elucidate the positive and significant impact of responsibility and analytical thinking on enterprise performance among Egyptian entrepreneurs.…”

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confidence: 88%

“…Gross (2016) has suggested a correlation between leadership styles and strategic thinking, with a favourable association explicitly observed in the context of analytical thinking. In analyzing the elements influencing enterprise performance in technological innovation, Ma and Guo (2020) suggest including analytical thinking as a crucial consideration. The study by Sadler-Smith (2004) emphasizes cognitive styles, which indirectly implies the significance of analytical thinking in the context of small and medium-sized firm management.…”

Section: Literature Review and Hypotheses Developemntmentioning

confidence: 99%

“…The relationship between leadership styles and strategic thinking, wherein analytical thinking is positive, is indicated byGross (2016). Lastly,Ma and Guo's (2020) analysis of technological innovation factors affecting enterprise performance implies considering analytical thinking in this context. As a result, an extensive examination of the existing literature unequivocally establishes analytical thinking as a robust predictor of enterprise performance across diverse contexts.…”

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confidence: 99%

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Entrepreneurial Leadership and Enterprise Performance: A Way Out of Sustainability

Al Doghan,

Abdelwahed,

Ali Soomro

2023

J. of Law and Sust. Develop.

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Purpose: Developing enterprise performance and sustainability is essential for firms’ survival. This study explores the effect of accountability, responsibility and analytical thinking on enterprise among Egyptian firms. Design/Methodology/ Approach: We applied quantitative methods to detect this problem by collecting data from entrepreneurs working in different firms in Egypt. The study concludes the results based on 304 valid samples. Findings: Employing path analysis through analysis of moment structures (AMOS) version 26.0, the findings suggest a positive and significant effect of responsibility and analytical thinking on enterprise performance. On the other hand, accountability negatively affects enterprise performance. Finally, the effect of enterprise performance on enterprise sustainability is positive and significant. Research, practical and social implications: The findings of the study may be helpful for investors to Invest in training for accountability, responsibility, and analytical thinking to optimize venture success. They may foster a corporate culture balancing accountability, risk-taking, and innovation for enduring success. Finally, they Align performance metrics with sustainability goals and integrate ethical practices for resilient business outcomes. Originality/ value: This study addresses the lacunae in the empirical evaluation of enterprise performance and sustainability among Egyptian entrepreneurs by emphasizing accountability, responsibility, and analytical thinking. Doing so contributes to a more comprehensive understanding of the factors influencing business success and long-term viability in the Egyptian context.

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confidence: 88%

Section: Literature Review and Hypotheses Developemntmentioning

confidence: 99%

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confidence: 99%

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Entrepreneurial Leadership and Enterprise Performance: A Way Out of Sustainability

Al Doghan,

Abdelwahed,

Ali Soomro

2023

J. of Law and Sust. Develop.

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“…The employment situation is quite severe in current society, and college graduates are under great employment pressure [1][2][3][4], so in order to help them find suitable jobs and provide them with more employment options, colleges and universities have set various innovation and entrepreneurship training programs and education courses, in the hops of cultivating innovative and entrepreneurial talents for the country [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Innovation and Entrepreneurship Ability of Computer Majors Based on Neural Network Optimized by Particle Swarm Optimization

Ding¹,

Chai²,

Zeng³

2021

Int. J. Emerg. Technol. Learn.

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The current evaluation index systems (EISs) of innovation and entrepreneurship (I&E) ability are not sufficiently systematic, scientific, or practical. To solve the problem, this paper tries to evaluate the I&E ability of computer majors, using neural networks improved by particle swarm optimization (PSO). Firstly, an EIS of 22 second-level indexes under 5 first-level indexes was designed to evaluate the I&E ability of college computer majors. Next, an evaluation model was developed based on fuzzy neural network (FNN), and the corresponding training algorithm was created. Moreover, an improved PSO was introduced to optimize the FNN, and the optimization process was detailed. The proposed model was proved effective through experiments.

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Modeling of Financial Results of Subjects of the Innovation Process in the Region

Lisovska¹,

Mrykhina²,

Terebukh³

et al. 2022

ФКДПТП

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The article develops and substantiates a methodological approach to modeling the results of innovative development of subjects of the regional business environment. The basic values of financial forecasting were indicators of the innovative potential of the business entity and indicators of the innovative attractiveness of the region.The system of indicators of innovation attractiveness of the region includes indicators of innovation activity of the region, social and economic indicators of regional development, indicators of innovative cooperation of the region, and indicators of international integration of the region. To assess the innovation potential of a business entity, such four levels of diagnostics are defined as: the potential of tangible assets; the potential of tangible assets in the form of working capital; the indicator of intellectual potential; the level of use of innovative potential.To substantiate the methodology for analyzing the innovative attractiveness of the region, software was developed in the database management system MS Access environment. Trends were identified by autocorrelation analysis and the foster-Stewart method, and the pair correlation approach was used with the sequential search of all parameters to find the relationship between the parameters. To achieve this goal, we will use the Pearson coefficient; various types of one-dimensional regression are used to increase the accuracy of the model.The forecast values calculated on the basis of modeling justified the existence of a close relationship between the expected economic results of the development of innovative cooperation in the region and the indicators of activation of entrepreneurial initiative. The results of modeling can be used as a basis for forming the policy of innovative development of the region. The results of modeling as well can be used in choosing strategic alternatives for innovative development of business entities.

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Analysis of scientific and technological innovation influence factors affect enterprise performance

Cited by 3 publications

References 13 publications

Entrepreneurial Leadership and Enterprise Performance: A Way Out of Sustainability

Entrepreneurial Leadership and Enterprise Performance: A Way Out of Sustainability

Evaluation of Innovation and Entrepreneurship Ability of Computer Majors Based on Neural Network Optimized by Particle Swarm Optimization

Modeling of Financial Results of Subjects of the Innovation Process in the Region

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