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Purpose This article aims to highlight the results of a Global Innovation Survey from 407 organizations representing 33 countries. This was the third of three surveys conducted by the researchers since 2011. Ten key insights were formulated to gauge the progress of innovation in organizations as well as the practice and success of nine innovation methods (data analytics, design thinking, innovation metrics, etc.) used to support innovation execution. Design/methodology/approach The survey data was bifurcated into two groups, high and low innovators, by analyzing their innovation scores using a K-means cluster analysis. This was followed by correlational analysis with the innovation practices by these groups. Qualitative survey data was also collected and used to interpret the results. Findings Overall innovation scores have improved over the decade. Organizations are still struggling with process drivers such as idea management and innovation measures. High innovators are pervasively using innovative methods to advance innovation execution much more than low innovators. The two methods that showed the highest correlation to an innovative culture were design thinking and open innovation. Originality/value Comparing the Global Innovation Survey to two other surveys, 2011 Canadian Executives (n = 605) and 2013 US Fortune 1000 (n = 1,203) that use the same innovation measurement scale, provides a unique longitudinal perspective. The nine innovation methods investigated in the Global Innovation Survey provide original insight into how high and low innovative organizations are using methods to advance innovation execution.

This study investigates the moderating role of independent directors on corporate boards in raising the ESG reporting for non-financial listed firms in Pakistan to strive for a greener revolution around the economy. A sample of 369 firms listed and operated on the Pakistan Stock Exchange (PSX) for a period covering 2012–2023 (both inclusive) have been taken out of a target population of 456 non-financial listed firms. The results are investigated using bivariate, multiple, and hierarchical regression analyses. This study has significant findings in the context of Pakistan and can be generalized to struggling economies around the globe. The interventional role of independent directors has significant findings for the full model. Findings from the Corporate Social Responsibility Strategy Score (CSRSS) are inconclusive irrespective of the measurement method used, i.e., environmental innovation score (EIS) or environmental pillar score (EPS). Environmental, Social, Governance Score (ESGS) has revealed a positive and significant impact when EIS is used as a performance variable, whereas when EPS is taken as a performance measure, the results are significant and negative. Under the lens of stakeholders’ theory, upper echelon theory, and agency theory, this study contributes to the corporate governance domain and the literature on environmental improvisation and ESG reporting. Researchers, statutory authorities, and academicians can benefit from it. The vital role of independent directors is the key to developing economies to strive for a sustained greener environment. This study is the first in the Asian and, specifically, Pakistani context to take on the interventional role of independent directors in promoting ESG reporting requirements for corporate greener revolution efforts.

To identify and address systemic barriers undermining the meritocratic advancement of medical professionals in Italy and to propose a transparent, performance-driven recruitment model. A critical narrative review and conceptual framework proposal supported by an analysis of current systemic limitations and international benchmarking data. We conducted a narrative review involving structured searches of international and Italian sources, followed by thematic synthesis and the development of two merit frameworks-Merit-based Professional Value Score (MPVS) and Integrity and Impact Score (IIS)-featuring standardized indicators and peer-normalized scoring metrics. Italy's medical system, despite high economic capacity, underperforms due to persistent non-meritocratic structures. Key challenges include political interference in residency selection, low return rates of expatriated physicians (>11,000 currently practicing abroad), and biased hiring mechanisms. Women and internationally trained candidates encounter disproportionate barriers. Across medical systems, output-only metrics (e.g., H-index) has proven insufficient. We propose MPVS and IIS as transparent, auditable tools that integrate risk-adjusted outcomes, patient safety indicators, patient-reported measures, teaching, research, and integrity domains. A worked example illustrates end-to-end scoring process and decision thresholds. Furthermore, a new protocol is proposed featuring anonymized candidate evaluation based on two metrics: -integrates clinical outcomes, teaching performance, and professional conduct. -evaluates research relevance, innovation capacity, and applied contributions. Cross-linked digital verification, external audits, and rotating blinded selection panels under national anti-corruption oversight form the governance backbone. Implementing this model would help reverse Italy's brain drain, restore merit-based standards in healthcare sector, and provide a replicable framework for other health systems pursuing transparency, quality, and equity.

Compared with traditional active detection radar, non-cooperative bistatic radar has a series of advantages, such as a low cost and low detectability. However, in real-life scenarios, it is limited by the non-cooperation of the radiation source and the bistatic geometric model, resulting in a low target signal-to-noise ratio (SNR) and unstable detection between frames in the radar scanning cycle. The traditional detect-before-track (DBT) method fails to exploit adequately the target information and is incapable of achieving consistent and effective tracking. Therefore, in this paper, we propose a two-stage track-before-detect (TBD) method based on deep learning. This method employs a low-threshold detection network to identify the target initially, followed by utilizing the model method to ascertain potential tracks. Subsequently, a diverse range of network structures are employed to extract and integrate position information, innovation score, and target structural information from the track in order to obtain the target track. Experimental results demonstrate the method’s ability to achieve multi-target tracking in highly cluttered environments, where the higher the number of frames processed, the better the target tracking effect. Moreover, the method exhibits real-time processing capabilities. Hence, this method provides an effective solution for target tracking in non-cooperative bistatic radar systems.

Innovative activity of enterprises in Poland is mostly generated by European funds that concern boosting European regions based on its significant resources and new technologies. Polish enterprises development within innovations is based mainly on accumulating new products and new technologies that improve organization and increase sale of products and services. Papers presents research findings that concern problems resulting from the innovations implementing in Polish enterprises comparing with European results. There is presented European Innovation Index providing a comparative assessment of the innovation performance at the country level of the EU Member States and the Regional Innovation Scoreboard (RIS) that presents results of innovative activity in Polish and European enterprises including regional data from the Community Innovation Survey (CIS).

The dynamics of the contemporary environment with all its characteristics has greatly encouraged further research of the impact of innovation on the company’s performance due to the paradigm that defines an innovation as means to enhance the competitiveness of enterprise. Thanks to the efforts of scientists, corporate managers and owners of capital can now choose from a variety of management tools to measure the innovation and success of the enterprise. In this paper, the methodology of Croatian Innovation Score (in Croatian: Hvatski Kvocijent Inovativnosti - HKI) is applied to assess the condition and the activities undertaken in order to build innovation capacity, and an assessment of the perception of innovation at the enterprise level, whereas the methodology of BEX index (Business Excellence Index) was used to measure business excellence of an enterprise. Applying the methodology on a sample of large manufacturing companies from Bosnia and Herzegovina, the composite innovation indices and business excellence indices were first calculated. The standard multiple regression has been applied to explain the relationship between innovation and business excellence of an enterprise. The results obtained in this research are encouraging and stimulating for the managers of the studied companies to strengthen the innovation capacity in order to advance on the business excellence ranking scale.

This study evaluates the causal impact of innovation on firm productivity in the Middle East and North Africa (MENA) region, where economic structures and institutional frameworks differ from those in advanced economies. Drawing on World Bank Enterprise Survey data from Egypt, Jordan, Lebanon, Morocco, and Tunisia, the analysis employs the propensity score matching (PSM) method to estimate the productivity effects of innovation while minimizing selection bias. The findings reveal that innovation significantly improves firm productivity in Egypt, Jordan, Lebanon, and Morocco, with average treatment effects ranging from 28% to 44%. In Tunisia, the effect is positive but statistically insignificant, reflecting structural constraints such as limited access to finance, weak research-industry linkages, and rigid institutions. Further analysis shows that the productivity impact of innovation is heterogeneous across contexts: small firms in Egypt, Jordan, and Lebanon benefit the most, while medium-sized firms in Morocco and Tunisia record the strongest gains. Large firms display positive but generally insignificant effects, suggesting that innovation-driven productivity advantages are not evenly distributed across firm categories. These results underscore the need for context-specific innovation policies in the MENA region. Strengthening financial access, fostering collaboration between firms and research institutions, and tailoring strategies to firm characteristics are crucial for maximizing the productivity benefits of innovation. By focusing on emerging economies, this study contributes to the literature by providing new empirical evidence on the innovation-productivity nexus and highlights innovation as a key lever for competitiveness and sustainable growth in the region.

Open innovation (OI) is key to sustainable product development and is increasingly gaining significance as the preferred model of innovation across industries. When compared to closed innovation, the protection of intellectual property (IP) that is created in open innovation is complex. For organisations engaging in OI, a sound IP management policy focusing on IP risk reduction plays a significant role in ensuring their sustained growth. Assessing the risks that are involved in IP management will enable firms to devise appropriate IP management strategies, which would ensure sufficient protection of an IP that is created in an OI model. Studies indicate that the risks which are associated with IP and risk management processes also vary with company segments that range from start-ups to micro, small, medium, and large organisations. This paper proposes an open innovation IP risk assessment model to compute the open innovation intellectual property risk score (OIIPRS) by employing an analytic hierarchy process. The OIIPRS indicates the IP risk levels of an organisation when it engages in open innovation with other organisations. The factors contributing to IP risk are identified and further classified as configurable IP risk factors, and the impact of these factors for the various company segments is also factored in when computing the OIIPRS. Further, an OI IP risk maturity model (OIIPRMM) is proposed. This model depicts the IP risk maturity of organisations based on the computed OIIPRS on an IP risk continuum, which categorises firms into five levels of IP risk maturity. The software firms can make use of the OIIPRMM to assess the level of IP risk and adopt proactive IP protection mechanisms while collaborating with other organisations.

The dynamics of the contemporary environment with all its characteristics has greatly encouraged further research of the impact of innovation on the company’s performance due to the paradigm that defines an innovation as means to enhance the competitiveness of enterprise. Thanks to the efforts of scientists, corporate managers and owners of capital can now choose from a variety of management tools to measure the innovation and success of the enterprise. In this paper, the methodology of Croatian Innovation Score (in Croatian: Hvatski Kvocijent Inovativnosti - HKI) is applied to assess the condition and the activities undertaken in order to build innovation capacity, and an assessment of the perception of innovation at the enterprise level, whereas the methodology of BEX index (Business Excellence Index) was used to measure business excellence of an enterprise. Applying the methodology on a sample of large manufacturing companies from Bosnia and Herzegovina, the composite innovation indices and business excellence indices were first calculated. The standard multiple regression has been applied to explain the relationship between innovation and business excellence of an enterprise. The results obtained in this research are encouraging and stimulating for the managers of the studied companies to strengthen the innovation capacity in order to advance on the business excellence ranking scale.

We characterize the factors that determine who becomes an inventor in the United States, focusing on the role of inventive ability (“nature”) versus environment (“nurture”). Using deidentified data on 1.2 million inventors from patent records linked to tax records, we first show that children’s chances of becoming inventors vary sharply with characteristics at birth, such as their race, gender, and parents’ socioeconomic class. For example, children from high-income (top 1%) families are 10 times as likely to become inventors as those from below-median income families. These gaps persist even among children with similar math test scores in early childhood—which are highly predictive of innovation rates—suggesting that the gaps may be driven by differences in environment rather than abilities to innovate. We directly establish the importance of environment by showing that exposure to innovation during childhood has significant causal effects on children’s propensities to invent. Children whose families move to a high-innovation area when they are young are more likely to become inventors. These exposure effects are technology class and gender specific. Children who grow up in a neighborhood or family with a high innovation rate in a specific technology class are more likely to patent in exactly the same class. Girls are more likely to invent in a particular class if they grow up in an area with more women (but not men) who invent in that class. These gender- and technology class–specific exposure effects are more likely to be driven by narrow mechanisms, such as role-model or network effects, than factors that only affect general human capital accumulation, such as the quality of schools. Consistent with the importance of exposure effects in career selection, women and disadvantaged youth are as underrepresented among high-impact inventors as they are among inventors as a whole. These findings suggest that there are many “lost Einsteins”—individuals who would have had highly impactful inventions had they been exposed to innovation in childhood—especially among women, minorities, and children from low-income families.