Influence of Technology Innovation Intensity on Firm Performance

Abstract

The aim of this paper is to assess the effects of technology innovation intensity on firm performance. A sample of 297 businesses funded by the Youth Enterprise Development Fund in Kenya was used as study framework. Correlation and a regression model were used for content analysis. The findings show that technology innovation intensity contributes positively to firm performance, but the entrepreneur characteristic affects the firms' innovation level. Further, the results show low profitability and expansion level among micro and small enterprises. The findings provide information necessary for competitive advantages and recommends the empowerment of entrepreneurs in technology innovation trends for their firm performance. The study endeavors to discover and advance enterprise innovative strategies that are ideally anchored in the technological, organizational, and environmental frameworks. The value of this study is on the approaches of entrepreneur capability in handling technology innovation intensity within a competitive business environment to improve firm performance.

Mortality Risk Factors in Micro and Small Businesses: Systematic Literature Review and Research Agenda

“…The studies in this category were applied in private business and investigated the characteristics of companies and entrepreneurs [12,[71][72][73][74][75], customer relations [76], success factors [27,77,78], determinants of business survival [9,23,[77][78][79], factors that contributed to failure [15][16][17][80][81][82], and factors related to the performance of MSEs [19,24,[83][84][85][86]. Organizational difficulties in management involving finance [21,[87][88][89][90][91][92], environmental sector [93][94][95], quality systems [96], supply chain [97], innovation [3,[98][99][100][101][102][103][104]…”

“…The techniques for data analysis were: multiple linear regression [3,7,21,24,84,89,[95][96][97]103], factor analysis [22,74,95,97,98,102,109,111,117,118], t test [19,77,97,101,102], correlation [24,89,97], analysis of main components [25], analysis of variance [97], descriptive statistics [15,89,104,107], SWOT Analysis [77], logistic regression [92,93,101], cluster analysis [98], structural equation modeling [86,102,109], and survival analysis [9,99].…”

“…Innovative organizations have a higher survival rate when they present a diversified portfolio [99,102,105]. De Paulla and Hamza [96] pointed out that any organization that seeks to innovate must be proactive, overcome market demands, and manage the quality of products and services.…”

Empirical Analysis of Subsidy Industrial Policy’s Effect on Export Innovation in the Chinese Manufacturing

“…Both incremental and disruptive innovations require enterprises to invest the corresponding capital. If there is no, or insufficient policy support, small enterprises cannot bear relatively large innovation costs; there is a positive correlation between enterprise scale and technological innovation (Chege et al, 2020; Zhu et al, 2019). However, some scholars believe that the relationship between enterprise scale and innovation input is complicated, and different variables lead to different conclusions, such as a U-shaped, negative, or no correlation with operating revenue, total assets, and total number of employees (Scherer, 1967).…”

“…Existing studies generally investigated subsidy policies' impact on enterprises' export innovation (Gao et al, 2021), and detected the impact of policy interactions scarcely. There is some channel that subsidy policy would influence subsidy policy's effect, and scholars usually considered that China's subsidy policies are intrinsically correlated with the size of enterprises (Chege et al, 2020), and investment, especially independent investment, also directly impacts enterprises' innovation capability (X. Dai & Zhao, 2021), so it is necessary to detect the combination of other factors mingled with subsidy policy.…”