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One way that firms attempt to innovate is through investment in R&D activity. However, there is much heterogeneity in innovations among firms making comparable R&D investments. This article explores employee ownershipʼs moderating effect on the relationship between R&D intensity and innovative output. The basis for the moderation is that ownership increases motivation and commitment to the innovation agenda of the company, and retains employeesʼ entrepreneurial efforts for internal opportunities. Using hierarchical regression, the data support the hypothesis that employee stock ownership positively moderates the relationship between R&D intensity and innovative output. Implications for future research and practice are addressed.

This study aims to investigate whether the characteristics of the chief financial officer (CFO) have an impact on the intensity of the corporate research and development (R&D) investment.

Based on hand-collected data for the CFOs of a sample of the largest European listed companies for the period 2013–2016, this study uses regression analyses to test empirically the association of CFO education, CFO gender and CFO age with R&D investment intensity.

The presence of female CFOs, CFOs with a Master of Business Administration (MBA) or Doctor of Philosophy (PhD) degree and older CFOs is positively associated with the intensity of R&D investment.

This study relies on some observable characteristics of CFOs and focuses on large listed companies.

The results of this study may help investors, stakeholders and practitioners to understand better which type of CFO characteristics are more likely to result in higher firm-level R&D investment intensity.

This study offers the first insights into the impact of CFOs, as the most prominent C-suite executives, on the level of corporate investments in R&D activity.

The number of patents in China has grown rapidly in recent years. The purpose of this paper is to investigate how patents impact economic development in China.

This paper developed an empirical model by using panel data of 42 China's patent-intensive industries to investigate the economic contribution made by Chinese patent-intensive manufacturing industries.

This paper found that the intensity of valid patents is strongly positively related to economic growth. The intensity of yearly added patents presented an inverse U-shaped and a U-shaped curve with the economy made by China’s patent-intensive industries. The correlativity mainly depended on whether the patent intensity converges near the economic indicators. Meanwhile, from the perspective of input–output efficiency, for China’s patent-intensive industries, R&D institutes were overinvested, followed by R&D intensity and R&D staff.

Investigating patent influence on economic development is quite complex research. Existing studies have mainly focused on patent protection in legal systems, but have not provided a definitive answer to what the real influence is. This study sought to narrow this gap from the patent economy perspective.

Innovation has become the engine of economic growth, especially with the Fourth Industrial Revolution. This paper aims at studying the association between innovation – measured by gross expenditure on research and development (GERD) – and economic performance – represented by real gross domestic product (GDP) – in MENA region over the period 1996-2016.

The paper uses the panel corrected standard error method to account for heteroskedacity and possible contemporaneous correlation across panels, and the first order autocorrelation within panel for unbalanced datasets.

The study concludes that R&D expenditure is positive and statistically significant in explaining GDP, but their relationship is weak. Specifically, a 10 per cent increase in R&D expenditure raises GDP by 4 per cent. In addition, human capital, labor force and fixed capital accumulation are found positive and statistically significant. These findings highlight on the importance of innovation and education on fostering economic growth, urging MENA governments to further invest in R&D and innovation sector.

To the best of the author’s knowledge, this paper is the first to investigate the relationship between GERD and GDP in MENA region within the endogenous-growth model framework.

This study investigates effects of firm-level, sector-level and business environment factors on manufacturing firms’ Research and Development (R&D) investment decisions in Kenya.

Panel Probit regression model is employed to analyse effects of the explanatory variables on manufacturing firms R&D investment decisions.

Access to external finance, lower informal sector competition, exports market participation, larger firm size and firms in high technology subsectors increase probabilities of undertaking R&D investment decisions.

The findings underscore the need to consider institutional framework, aimed at easing business environment constraints related to access to finance, export promotion and competition from informal sector enterprises. Future research should consider cross-country analysis within the Sub-Saharan African (SSA) region to understand implications of institutional contexts that prove to be a challenge to address in a study based within a single country.

Policymakers need to consider addressing business environment constraints that impede R&D investments by private sector enterprises in developing countries. Formal private sector firms should design R&D investment strategies and lobby for policy interventions targeted at business environment constraints.

This study considers effects of variables underexplored in existing literature, notably competition from informal sector firms, R&D-intensity technological classification and an objective measure of access to finance. The study also utilises a panel survey data, which was underexplored in prior studies within SSA economies.

The purpose of this study is to analyze the performance of indigenous innovation in developing countries in the era of trade liberalization. It analyzes indigenous innovation from research and development (R&D) investments to innovation output and its effect on economic growth.

The sample for this study includes 20 middle-income countries across five continents for the period between 1994 and 2018. The study employs the Crepon Duguet and Mairessec CDM model in a panel data setting to do a multistage analysis of the innovation process. A vector error correction model VECM is employed to test for Granger causality between the variables investigated.

The results show that imports and foreign direct investments (FDI) have generally have short-run and long-run causal effects on domestic R&D investments. In regions where imports and FDI do not have individual causal effects on innovation output, a joint increase in each of them and R&D have both short-run and long-run causal effects. Indigenous innovation is a significant contributor to economic growth when a country can produce and export novel products.

The sample is only limited to developing economies, and due to the unavailability of data, only 20 countries were captured.

Imported products and FDI are critical to the innovation drive when such activities are targeted at enhancing indigenous innovation from R&D to the production of new products. Hence, policy formulation should encourage the absorption of foreign technologies that serve as inputs to indigenous innovation.

This paper focuses specifically on indigenous innovation and analyses the influence of foreign technologies in this effort. It tests the moderating roles of imports and FDI in the relationship between R&D and innovation output, concluding that both variables enhance the effect of R&D on innovation output.

Organizations that decide to invest in innovation must define how this will be done: internally, externally or in a hybrid way, developing internal research and establishing partnerships with other agents of the innovation system. This paper aims to analyze whether the service companies’ intensity of openness and innovation efforts are related to their innovative and financial performances. Open innovation assumes that organizations should use external and internal resources as they develop new technologies.

The study used data from the survey of technological innovation (Pintec). As regards innovations, it was considered the commercial and operational innovation performances and the innovative novelty performance. As regards financial performance, it was considered the overall net sales per employee. The intensity of open innovation was measured by the combination of breadth and depth (diversity and importance of the interfaces). The innovative effort was measured by spending on innovation activities. Regressions were applied to evaluate a set of hypotheses.

The results indicate that companies with a greater orientation toward open innovation presented better scores. The results also lead to the conclusion that foreign firm ownership structure and being part of a corporate group were the factors that caused the greatest impact on financial performance in the service sector.

The study provides empirical data on the importance of open innovation in improving organizations' performance, especially the breadth of open innovation.

The study contributes to expanding the research field addressing the relationship between service innovation and performance.

This paper analyzes the productivity effects of structural capital such as research and development (R&D) and organizational capital (OC). Innovation work also produces innovation-labor-biased technical change (IBTC) and knowledge spillovers. Analyses use full register-based dataset of Finnish firms for the period 1994–2014 from Statistics Finland.

Intangibles are derived from the labor costs of innovation-type occupations using linked employer-employee data. The approach is consistent with National Accounting and offered as one method in OECD (2010) and applied in statistical offices, e.g. in measuring software. The EU 7th framework Innodrive project 2008–2011 extended this method to cover R&D and OC.

Methodology is implementable at firm-level and offers way to link personnel reporting to intangible assets. The OC-IBTC as well as total resources allocated to OC are relevant for productivity growth. The R&D stock is relatively higher but R&D-IBTC is smaller than OC-IBTC. Public policy should, besides technology policy, account for OC and OC-IBTC and related knowledge spillovers in the industries that are most important among the SMEs (low market-share-firms).

The data are based on remote access to Statistics Finland; the data cannot be disseminated.

Intangible assets are measured from innovation work that encompasses not only R&D work. IBTC is proxied in production function estimation by relative compensations on IA work. The non-competing nature of IAs is captured by IA knowledge spillovers. The sample sizes are much higher than in earlier studies on horizontal knowledge spillovers (such as for SMEs,) thus bringing additional generality to the results.

The way to measure the value of an enterprise’s R&D investments remains elusive for theoretical and empirical study on innovation economics. The paper aims to discuss this issue.

This paper expands the asset-value model pioneered by Griliches (1981) and applies it for the first time to the Chinese stock market to calculate the value of R&D investment instilled by Chinese manufacturing listed companies (CMLCs) from 2003 to 2014.

The authors find that: the assets-value model can better explain the enterprise value composition of CMLCs; with equal input, the value of R&D is higher than that of tangible assets, and lower than that of organizational assets; compared with the developed countries, the R&D value of CMLCs is lower; and the R&D value of CMLCs saw a downward trend from 2007 to 2014.

Furthermore, by rationally estimating the value of organizational assets and non-tradable shares, and innovatively introducing semi-annual momentum indicators from the perspective of behavioral finance to control the influence of investor sentiment on enterprise value, this paper tries to develop the asset-value model and provides a feasible solution to the problem of measuring the value of Chinese enterprises’ R&D investment.