Innovation Output Research Articles

Facial Emotion Recognition for Visually Impaired People using Transfer Learning

Individuals with visual impairment often face chal- lenges in social interactions, specifically at recognizing emotional cues. The proposed framework tackles this issue head-on by de- vising a Facial Emotion Recognition(FER) system, by employing an advanced Transfer Learning approach within Convolutional Neural Networks (CNNs). By leveraging the dataset FER-2013 [13], the proposed system aims to transcend the limitationsof traditional emotion recognition methods. Transfer learningallows the model to benefit from pre-trained knowledge on vast datasets, making it more efficient and effective in capturing complex facial features associated with different emotions. This approach is designed to offer better accuracy and generalization capabilities than other conventional methods. During training, the system will be designed to comprehensively capture the intricacies of facial expressions, enabling it to not only identify individuals but also interpret subtle changes in their emotional states throughout conversations. An innovative audio output system will be integrated into the FER system to provide a smoothand accessible experience for visually impaired users, allowing for a better understanding of social dynamics. By emphasizing transfer learning, this framework is designed to be efficient and robust, potentially revolutionizing emotional understanding for visually impaired individuals and setting a new standard in the field by showcasing the superior performance achievable throughadvanced machine learning techniques. Ultimately, this research aims to bridge the social gap for the visually impaired by fosteringinclusivity, independence, and safety in their daily life.

Intelligent manufacturing and cross-border e-commerce export diversification

Although Industry 4.0 has transformed the operating model of manufacturing and international trade, no previous research has explored the influence of intelligent manufacturing (IM) on export diversification from a cross-border e-commerce (CBEC) perspective. We use a unique dataset of China's leading cross-border logistics enterprises to investigate the effect of IM on CBEC export diversification. Our results reveal a positive effect of IM on CBEC export diversification at both market and product levels. This conclusion remains valid after a series of robustness tests. The heterogeneity analysis shows that IM contributes more strongly to diversification of CBEC exports for differentiated products and consumer goods. The mechanistic analysis suggests that IM enables export diversification by stimulating input, output and commercialization of innovation.

The impact of perceived organizational virtuousness on employees’ innovative behavior

Purpose This study aims to draw upon the broaden-and-build theory to examine the relationship between perceived organizational virtuousness and employees’ innovative behavior. Moreover, the study investigates the indirect relationship between perceived organizational virtuousness and employees’ innovative behavior via thriving. Additionally, this study examines whether creative personal identity strengthens the relationship between thriving and innovative behavior. Design/methodology/approach A quantitative research methodology was used to test the proposed moderated mediation model. Data was gathered from 206 respondents from organizations in different industries. The SPSS PROCESS tool was used for hypotheses testing. Findings The findings of the study revealed that there is a positive relationship between perceived organizational virtuousness and employees’ innovative behavior. Additionally, the results also support that there is an indirect relationship between perceived organizational virtuousness and innovative behavior through thriving. The findings revealed that creative personal identity strengthens the relationship between thriving and innovative behavior. Practical implications The findings of the study provide implications for managers who can promote and shape virtuous organizational contexts to drive positive employee attitudes and behaviors. Originality/value This study addresses the call of scholars to extend the body of research on the outcomes of organizational virtuousness. The study contributes to the limited body of knowledge regarding the relationship between organizational virtuousness and employees’ innovative behavior. Furthermore, it elaborates on the precise mechanism through which perceived organizational virtuousness can increase employees’ innovative output. To the best of the authors’ knowledge, the current study is also the pioneer attempt to examine the role of a personal identity factor in influencing the relationship between employees’ experience of thriving and their innovative behavior.

Entrepreneurial ecosystem patterns and its determinants and outputs: a necessary condition analysis to the Brazilian entrepreneurial cities

Purpose This study aims to identify necessary conditions for innovative entrepreneurship in cities and determine similarities in entrepreneurial configurations among them. Design/methodology/approach The authors assessed the necessary conditions for various levels of entrepreneurial output and categorized cities based on similar patterns by applying necessary condition analysis (NCA) and cluster analysis in a sample comprised of 101 cities from the entrepreneurial cities index, representing a diverse range of urban environments in Brazil. A comprehensive data set, including both traditional indicators from official Bureau of statistics and nontraditional indicators from new platforms of science, technology and innovation intelligence, was compiled for analysis. Findings Bureaucratic complexity, urban conditions, transport infrastructure, economic development, access to financial capital, secondary education, entrepreneurial intention, support organizations and innovation inputs were identified as necessary for innovative entrepreneurship. Varying levels of these conditions were found to be required for different entrepreneurial outputs. Research limitations/implications The static nature of the data limits understanding of dynamic interactions among dimensions and their impact on entrepreneurial city performance. Practical implications Policymakers can use the findings to craft tailored support policies, leveraging the relationship between city-level taxonomy and direct outputs of innovative entrepreneurial ecosystems (EEs). Social implications The taxonomy and nontraditional indicators sheds light on the broader societal benefits of vibrant EEs, emphasizing their role in driving socioeconomic development. Originality/value The cluster analysis combined with NCA’s bottleneck analysis is an original endeavor which made it possible to identify performance benchmarks for Brazilian cities, according to common characteristics, as well as the required levels of each condition by each city group to achieve innovative entrepreneurial outputs.

How firm’s perception of economic policy uncertainty influences innovation quality

ABSTRACT Comprehending the consequences of firms’ perception of uncertainty is crucial in the context of a dynamic global economy. Based on a data set of China A-listed firms during 2007-2019, this paper constructs the indicator of firms’ perception of economic policy uncertainty (PEPU) through a textual analysis approach and examines its impact on the quality of firms’ innovation outputs. Employing multi-dimension measures, we find that corporate PEPU has a noteworthy negative impact on the quality of corporate innovation output. Further analysis shows that firms scale down their R&D investment intensity and gravitate towards conservative R&D projects as firms’ PEPU rises. Additionally, the firm will enhance its collaborative R&D efforts with other firms to mitigate risk. These strategic R&D behaviors guarantee the quantitative stability of a firm’s innovation output, but they also undermine firms’ innovation quality. These findings have significant policy implications for the policy-making process in emerging markets.

CEO’s Financial Background and Corporate Green Innovation

Innovation is the primary driving force for development, and enterprises, as the main drivers of innovation, are an important part of implementing the national innovation strategy. This paper, combining the perspective of the enterprise lifecycle, thoroughly examines the differential impact of the CEO’s financial background on green innovation in enterprises at different stages of the lifecycle. This study finds that the CEO’s financial background has a significant inhibitory effect on green innovation in enterprises, and this conclusion holds true after multiple robustness tests. From the perspective of the lifecycle, it is found that when enterprises are in the mature stage, the CEO’s financial background has a strong inhibitory effect on innovation output. The impact of the CEO’s financial background on green innovation output in the growth stage is relatively weak, while there is no significant impact on green innovation in the declining period. Furthermore, based on the enterprise lifecycle, it is found that the CEO’s financial background has a stronger inhibitory effect on green innovation in non-state-owned enterprises and high-tech industries. The research findings of this paper have important theoretical value and practical significance for promoting green innovation in enterprises and implementing the national innovation strategy.

Unveiling the influence of global innovation networks on corporate innovation: evidence from the international semiconductor industry

In this study, we investigate the influence of global innovation networks (GINs) on the innovation output of semiconductor firms. Utilizing negative binomial regression and network analysis, we assess how network positions, specifically degree, betweenness, and closeness centrality, affect firms’ innovation performance, revealing significant positive impacts. Moreover, our results identify a positive U-shaped relationship between structural holes in GINs and innovation performance, suggesting that while moderate network engagement aids innovation, too much can be detrimental. This research provides key insights into optimizing GIN participation for better innovation results in the competitive semiconductor sector.

Internationalization moderating the relationship between investment and innovation in small businesses in Latin America

Objective: This paper's main objective was to examine the extent to which internationalization efforts moderate the relationship between investments in research and development (R&D) and innovation outputs taken by small businesses, that is, small and medium-sized enterprises - SMEs. Methodology: The methodology used consisted of quantitative research with data from 10,621 SMEs, from 17 countries in Latin America. The present study involved factorial and regressive analysis as well. Main results: The results obtained led to the conclusion that internationalization efforts have a positive and statistically significant influence on innovation outputs, allowing SMEs in Latin American countries to increase their competitiveness through constructing or improving products, services, or processes. Theoretical contributions: At the end of the research, it was also concluded that R&D investments positively influence innovation outputs and that companies that invest in R&D and additionally employ internationalization efforts are more likely to present innovation. Relevance and originality: It was the first time that a study jointly and empirically evaluated the moderating effect of internationalization efforts on the relationship between investments in R&D and innovation outputs, totaling a sample of 10,621 SMEs. Managerial and social contributions: This study also contributed to the knowledge of Latin America, therefore, it is expected that a greater understanding of the barriers to the development of SMEs will be achieved, through the advancement of internationalization efforts, investment in R&D and innovation. In this way, the aim is to encourage academics and practitioners to search for solutions to break these barriers.

Nonmonetary awards and innovation: Evidence from winning China's Top Brand Contest

We use the short-lived, but high-profile, China Top Brand Award to examine the causal effects of nonmonetary awards on firm innovation. To do so, we create a panel dataset by matching official China Top Brand Award recipients to the innovation outputs of listed companies. Results from difference-in-differences estimates show that firms that received the China Top Brand Award have a higher number, and better quality, of filed patents. We find that the positive effects of winning the China Top Brand Award on innovation outputs operate through higher government subsidies to winning firms. We also find that the positive effects of award-winning are stronger among state-owned enterprises, larger enterprises, and better-performing enterprises, as well as in provinces with stronger intellectual property rights protection. Our results are robust to a series of sensitivity checks.

Digital transformation and innovation activities: evidence from publicly-listed firms in China

This study investigates the relationship between digital transformation (DT) and corporate innovation activities. By studying the publicly-listed firms in China, we find that firms with higher levels of DT tend to spend more on research and development (R&D) and tend to generate more innovation outputs. The impact of DT on R&D expenditures is particularly pronounced for firms with more limited disclosure of information, more complex organizational structures, and for those who do not receive government sponsorship. We find no evidence that DT affects innovation through alleviating financial constraints or enhancing operating performance. Collectively, these findings offer novel and practical insights into the interaction between digitization and firms’ innovation.

Spatial spillover effects of skilled migration on innovation in China

Despite the importance of interregional skilled migration to regional development, few studies have explored its spatial spillover effects and their changes over time. Thus, employing the Spatial Durbin Model, we investigate the presence of regional spillovers of skilled migration at both national and sub-national levels in China. Especially, we focus on the regional difference and change in the spatial spillover. Although our results confirm positive spillover effects at the national level due to the strong mobility characteristic of skilled migrants, developed regions benefit more from spillovers of skilled migration than developing regions, and such effects are divergent in different regions over time. Our findings also indicate that changes in spatial spillovers among regions are closely associated with the mobility of economic factors in geography. Theoretically, by considering the spatial effects of skilled migration on the innovation output of recipient regions, we extend the labour economics literature into geographical economic agglomeration, especially innovation economic geography. Methodologically, we examine the spatial effects at both national and sub-national levels, and capture the spatial externalities; we also apply Maximum Likelihood estimation to assess the endogeneity issues to understand the mechanisms of spillover change over time. The study can be of significance for municipalities in the policy-making of attracting talents and promoting regional innovation.

Digital economy and urban innovation level: A quasi-natural experiment from the strategy of “Digital China”

The digital economy is an essential engine of the innovation-driven development strategy and plays a valuable role in promoting the high-quality development of the regional economy. Based on the panel data of 286 cities in mainland China with the help of the digital economy strategic plans issued by local governments as a quasi-natural experiment, we use the multi-temporal double-difference (DID) method to examine the impact of the digital economy on the urban innovation level. Findings show that the digital economy can significantly improve the urban innovation level. After a series of robustness tests, such as parallel trend test, updating sample and period, and repeated placebo test, the innovation-driving effect generated by the development of the digital economy remains significant. Results of the mechanism analysis indicate that the digital economy enhances the level of innovation through upgrading industrial structures. In addition, we find through the heterogeneity test that the digital economy has a stronger effect on improving the quality of innovation. Meanwhile, the innovation output in the Middle Eastern region is more significantly affected by the “Digital China” strategy than the Western region. Therefore, we should accelerate the implementation of the local digital economy development strategy to realize the high-quality development of the regional economy.

Does News Media Affect Firm Innovation in Emerging Markets? Evidence from China

We examine whether and how news coverage affects innovation using an extensive collection of more than 188,000 firm‐specific press articles written by journalists from the most influential Chinese newspapers. We find that news coverage has a positive impact on firm innovation outputs. This positive effect is more pronounced for firms with weak internal governance and external monitoring, opaque corporate disclosure, high R&D intensity, and limited access to financing for innovation, for news articles that are related to innovation and corporate governance, and for news articles that are issued by news media that are subject to less political intervention and by socially unconnected news media. Our analysis of firm innovation strategies shows that the increased innovation outputs are a result of an increase in in‐house R&D investment and innovation efficiency, rather than acquisition of innovation from external channels that can quickly increase quantifiable innovation outputs. We also find that news coverage reduces analyst earnings forecast dispersion and insiders’ tunnelling of corporate resources and managerial perks, while increasing firms’ investor base. Overall, our research provides new insights into the role of the news media in firm innovation in an emerging market, especially when firms have a poor information environment and corporate governance mechanisms, and when news coverage has high informativeness and independence.

Innovation and environmental protection: An EU perspective

The objective of this paper is to explore how environmental protection expenditures (EPE) affect innovation and investigate the potential causal relationship between the two variables. The novelty and main contribution of our paper to the literature stems from the fact that we look at total environmental protection expenditures from both the public and private sectors, and distinguishing between corporations and households in the private sectors. We also consider both inputs and outputs of innovation and address potential endogeneity issues in this relationship, which are both lacking in the current literature. Using a panel of EU countries over the period 2006–2020, this study generally finds a positive impact of EPE on innovation after controlling for the effects of trade, credit, education and inflation on innovation, and using the System GMM estimator to treat endogeneity. Moreover, EPE from the government sector drives the bulk of this positive impact. The core results are robust to alternative measures of innovation, alternative estimation techniques that address endogeneity (i.e., the Lewbel 2SLS, Mundlak, and Hausman-Taylor estimators) and the moderation effects of Climate Change Performance (CCPI). This study also provides a useful guide to policy makers engaged in environmental planning.

How does market-incentive environmental regulation affect enterprises green growth? The mediating role of R&D investment and innovation output

Manufacturing enterprises is a country's economic mainstay. However, their longtime extensive growth pattern of “high growth and high emission” has brought huge environment pollution and restricted sustainable development. Under the circumstance of carbon reduction and global green development, market-incentive environmental regulation (MER) has attracted the attention of scholars and become a kind of important methods of encouraging manufacturing enterprises green growth. Presently, two fairly distinct viewpoints of “Follow Cost” and “Porter Hypothesis” both have their own supportive research results, and the explanation for the role of MER is completely opposite. What's more, empirical research at the enterprise level is scarce. Therefore, this study makes a further analysis from the perspective of enterprises heterogeneous innovation ability. Guided by the classic theory of “Follow Cost” and “Porter Hypothesis”, this study aims to evaluate the applicable conditions of MER's environmental improvement effect, and testing the differential impact mechanism of MER on enterprise Green Total Factor Productivity (GTFP), enterprise Green Technological Change (GTC) and enterprise Green Efficiency Change (GEC). All these give theoretical and empirical supplementation for the rationality of related theories. This study examines the hypotheses and mechanism according to 1220 Chinese manufacturing listed companies data 2011–2020. The empirical results indicate that: (1) In short term, MER has a significant positive impact on GTC, and a significant negative impact on GTFP and GEC. (2) As innovation driven factors, both enterprise R&D investment and innovation output play the mediating role. (3) Heterogeneity analysis indicates that the impact mechanism varies depending on enterprise industry-type, location and digital level. Thus, policymakers should develop appropriate MER policies, and manufacturing enterprises should strengthen technological innovation to help achieve environmental sustainability and profit performance.

Development and Testing of the Relational and Structural Components of Innovativeness Across Academia and Practice for Healthcare Progress Scale.

Using data from 5 academic-practice sites across the United States, researchers developed and validated a scale to measure conditions that enable healthcare innovations. Academic-practice partnerships are a catalyst for innovation and healthcare development. However, limited theoretically grounded evidence exists to provide strategic direction for healthcare innovation across practice and academia. Phase 1 of the analytical strategy involved scale development using 16 subject matter experts. Phase 2 involved pilot testing the scale. The final Innovativeness Across Academia and Practice for Healthcare Progress Scale (IA-APHPS) consisted of 7 domains: 3 relational domains, 2 structural domains, and 2 impact domains. The confirmatory factor analysis model fits well with a comparative fit index of 0.92 and a root-mean-square error of approximation of 0.06 (n = 477). As the 1st validated scale of healthcare innovation, the IA-APHPS allows nurses to use a diagnostic tool to facilitate innovative processes and outputs across academic-practice partnerships.

Financial information, spillovers, and innovation performance

We hypothesize that high-quality financial information can, through its spillovers to peer firms’ strategic decision-making, have an adverse effect on the disclosing firm’s innovation performance. Using the degree of disaggregation in financial reports and patent-based measures to proxy for financial information quality and significance of innovative outputs, respectively, we find that the patented inventions of firms with more disaggregated financial reports are less innovative. We also document that the negative association is more pronounced for firms with more intense product market threats, a situation in which the spillover of more detailed information is costlier. We further validate our argument by documenting that disclosures of more and finer information actually help peers increase innovation activities and investments, consistent with the peers’ effective strategic responses to the disclosing firm’s innovation. Overall, the results from the cross-sectional analysis and validation tests confirm the channel through which more disaggregated financial information can lead to a decline in firm innovation performance. This study contributes to the literatures on information spillovers, economic consequences of financial reporting, proprietary costs of disclosures, and innovation.

Potential contributions of digital finance to alleviating the ‘low-end lock-in’ dilemma for green innovation in enterprises

As climate change risks intensify worldwide, green technological innovation by enterprises has become a crucial factor affecting the balance between economic development and ecological governance. This paper utilizes data from Chinese A-share listed companies in heavily polluting industries from 2011 to 2021 to investigate the impact and mechanism of the knowledge spillover effect of enterprise digital finance development on the phenomenon of ‘low-end lock-in’ in green innovation. The study finds that digital finance development significantly promotes green innovation in enterprises, with a more pronounced enhancement in high-end green innovation output, thereby mitigating the phenomenon of ‘low-end lock-in’ in green innovation. Mechanism analysis reveals that the development of digital finance in enterprises facilitates high-end green innovation by alleviating financing constraints and enhancing internal control levels through internal and external governance structures. Heterogeneity tests indicate that the promotion effect of digital finance development on high-end green innovation is more pronounced in samples of state-owned enterprises, large and medium-sized enterprises, and enterprises in central and eastern regions. This paper constructs an index of digital finance development for enterprises through text analysis, providing theoretical support for micro-enterprise research on digital finance development and empirical support for the impact of financial development trends on theories of enterprise green innovation.

China’s distinctive civil–military integration policy and firm innovation

Abstract Despite the widespread implementation of civil–military integration (CMI) policies in various countries, there remains a significant debate surrounding their impact on innovation. Taking the set of the National Civil–Military Integration Strategy in China in 2015 as a quasi-natural experiment, this paper uses the Propensity Score Matching and Difference in Difference (PSM-DID) method to systematically examine the impact of CMI policy on firm innovation. The results demonstrate that the CMI policy has notably increased the intensity of firms’ Research and Development (R&D) investment, but does not exert a significant influence on their innovation output and efficiency. Notably, the policy effect is primarily observed among incumbent military firms and large-scale firms. Moreover, the CMI policy exhibits a considerable effect on fostering new cooperation links, but does not yield a significant impact on deepening cooperation or promoting network agglomeration. The results imply that the policy has not yet deeply affected firms’ innovation processes and patterns. These findings provide manifold implications for policy understanding and decision-making.

Corporate Risk-Taking, Innovation Efficiency, and High-Quality Development: Evidence from Chinese Firms

Facing the increasingly complex and uncertain external environment, the reasonable control of investment risk is the key to realizing the sound operation and high-quality development of enterprises. Based on the innovation perspective, this paper takes A-share non-financial listed companies from 2007 to 2021 as the research sample to explore the impact of the corporate risk-taking level on the high-quality development of enterprises and examines the transmission mechanism of the relationship between the two from the perspectives of innovation efficiency, innovation input, and innovation output. It is found that enterprise risk-taking significantly inhibits the high-quality development of enterprises, by reducing innovation efficiency; innovation efficiency plays a mediating role in the influence of the relationship between the two, which is mainly due to the fact that enterprise risk-taking increases the innovation inputs of enterprises but reduces the innovation outputs of enterprises, and then reduces the innovation efficiency of enterprises and inhibits the high-quality development of enterprises. This heterogeneity study finds that the inhibitory effect of corporate risk-taking on the high-quality development of firms is more pronounced among manufacturing firms, small-scale firms, and firms with higher capital intensity. The findings of this study provide both guidance to help enterprises to reduce risky investment decision-making behaviors and experience for regulators to effectively promote the formulation of policies related to the high-quality development of the real economy.