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This paper aims to study the learning-by-exporting effect among small-to-medium-sized enterprises (SMEs). Specifically, the authors propose a dynamic perspective and suggest that learning-by-exporting is duration-dependent and contingent upon the born global internationalization strategy. In earlier phases of export activities, exporting has had a strong positive effect on SMEs’ innovations, which, however, diminishes over time. This inverted U-shape effect is even more distinct for born global firms.

The authors used longitudinal data with 1,689 Canadian SMEs to test their hypotheses. A two-stage instrumental approach is used to take into account the endogeneity of the born global international strategy on new product innovations.

Born globals learn faster at the early stages of exporting but also restrain their innovations more strongly than gradual internationalizers in the longer run, leveling out the initial learning advantages of newness. Thus, this study suggests that born globals have a significantly different learning trajectory than gradual internationalizers.

To maximize the benefits of exporting on innovation, managers should focus on learning during the initial years of exporting. However, once this period has passed, it is advisable for managers to invest in research and development as well as other innovation activities to complement the learning effect of exporting. Born global firms experience more rapid learning at the initial stage of exporting, but such learning effects wear off quicker later than gradually internationalized firms. For SME managers, this study helps draw their attention to the learning benefits of exporting in the initial years of export participation.

This study corroborates recent studies arguing for a “learning-by-exporting” effect. Providing longitudinal firm-level evidence, the authors also forward a dynamic perspective and show that learning by exporting is duration dependent and contingent upon the market entry strategy pursued by SMEs.

This study aims to investigate the gender diversity within innovation and entrepreneurship teams and the perceptions of gender imbalance in digital skills among team members in Kazakhstan, a Central Asian country belonging to the Global South.

Primary data were collected from ten leading firms in Kazakhstan's manufacturing, construction and oil and gas sectors, which have international connections or perspectives. The members of the research and development (R&D) departments of these firms completed an online, structured closed-question questionnaire anonymously. A total of 169 completed responses were analyzed using regression analysis, controlling for company size and sector, with gender as the independent variable.

The gender diversity within innovation teams is not as high as anticipated, even though there is a substantial representation of women in the scientific workforce across many firms. Similarly, there is a gender gap in entrepreneurship teams involved in business innovation, although it is slightly less pronounced. Female employees report a greater disparity compared to their male counterparts. Surprisingly, over 60% of both male and female respondents agree that women lack the same level of digital expertise and knowledge as men.

The findings of this research should be interpreted in light of the fact that they are based on a perception-based survey. Local firms exhibit skepticism toward external researchers due to privacy concerns, making their participation challenging. However, it is noteworthy that the survey targeted front-line workers in the innovation and entrepreneurship field, providing informed perspectives that strengthen the study's outcomes.

This study reveals that while women form a considerable proportion the scientific workforce, gender diversity in innovation and entrepreneurship teams is lacking in a Global South country. Gender imbalance in innovation and entrepreneurship is thus present in both developing and developed countries, highlighting the need for interventions to promote gender diversity at the firm level.

The purpose of this paper is to understand the relationship between foreign direct investment (FDI) and cities and how the relationship between multinational enterprise (MNEs) and local firms facilitates regional cleantech innovation.

Using a combination of social network analysis, regression analysis and interview analysis, the authors map and analyze a cleantech cluster to investigate the relationship between MNEs and local firms and the resulting effects on cleantech innovation.

The findings of the paper indicate that FDI plays a crucial role in cities and their local clusters by acting as a broker between a diverse set of actors: firms, institutions, universities, financial and other intermediaries. Additionally, connectedness to MNEs improves local firms’ innovation.

This study is not free of limitations, mainly, because of the aspects that the analysis is based on one city and one cleantech hub. Further research could verify whether the findings of this paper hold in other cities and industries.

The findings, elucidating the connection between MNEs and local firms, as well as MNEs being important brokers in the local system, and the resulting impact, will help policymakers to take appropriate actions and support the local cleantech innovation. It is important to not only attract high-quality FDI into local clusters, but also to create and support collaborations between foreign firms and local actors, because colocation does not automatically leads to positive spillovers and a lot depends on how MNEs are integrated into the local milieu.

The present paper argues that FDI plays an important role in local cleantech innovation and it is important to integrate foreign firms in local social networks.

The authors analyze FDI patterns in an emerging industry at the city and local cluster level using a unique database containing the information on relationships between MNEs and local firms, as well as interview data.

Because of the rapid progress of global value chains (GVCs), it is worthwhile to study their impact on innovation. This study aims to explore the impact of GVC position of high-tech industries in the developing-country context of China on innovation performance; it also aims to explore the moderating effects of industrial agglomeration (specialization agglomeration and diversification agglomeration) on the relationship between GVC position and innovation performance.

The study is based on data gathered on Chinese high-tech industries in 30 provinces from the 2005–2015 period. The econometric analysis relies on merged data from the China Premium Database and the Trade in Value Added 2018 Database.

The regression results show that GVC position of China’s high-tech industries significantly affects their innovation performance, and both specialization agglomeration and diversification agglomeration significantly enhance the positive relationship between GVC position and innovation performance of China’s high-tech industries. After dividing the country into coastal and inland regions, new findings appear.

This study highlights the importance of GVC position and its effect on innovation performance of China’s high-tech industries. It contributes to the literature on the relationship between GVCs and innovation by elaborating on the moderating effects of industrial agglomeration on this relationship.

This study aims at offering a comprehensive thesis about the relationship between different cultural values and innovativeness.

Building on the human emancipation perspective and using data from Hofstede’s, Schwartz’s, and Inglehart’s cultural frameworks, the authors conduct a cross-national investigation into the effects of cultural values on national innovativeness.

The analyses show that emancipatory cultural dimensions such as rationality, secularity, self-expression, individualism, low uncertainty avoidance, long-term orientation, mastery and autonomy have significantly positive associations with national innovativeness. The opposing cultural values, such as traditionalism, religiosity, survival, collectivism, high uncertainty avoidance, short-term orientation, harmony and conservatism, have negative associations with national innovativeness.

This study contributes to the literature by putting forward a comprehensive and theory-driven explanation of the relationship between cultural values and innovativeness, by using all of Hofstede’s, Schwartz’s and Inglehart’s dimensions, by incorporating ethnic, linguistic and religious diversities and by applying alternative measures of the national innovativeness.

The purpose of this study is to measure and analyze the national innovation efficiency of organisation for economic co-operation and development (OECD) countries. This is to determine to what extent OECD countries efficiently use the elements that enable innovation activities possible in generating innovation outputs.

An input–output model was constructed to measure efficiency. The inputs and outputs in the research model are the input and output sub-indices of the Global Innovation Index. Data envelopment analysis was used to measure the national innovation efficiency levels of OECD countries.

The results show that national innovation efficiency is generally high in OECD countries. However, some countries lag behind in innovation efficiency. OECD countries’ ability to create and provide the elements that enable innovation activities is higher than their ability to create innovation outputs. OECD countries have a good innovation environment and a high level of resources, but they should focus on how to create more innovation outputs.

This study presents a measurement of national innovation efficiency of OECD countries which contributes “Innovation Strategy” agenda. The results empirically show that overall innovation indices cannot be the only indicator of the performance of national innovation systems. In this study, an innovation efficiency/performance matrix is constructed to present the relative positions of the countries to help in examining countries’ strengths, weaknesses and potentials based on innovation efficiency and innovation performance simultaneously. This study contributes to the literature by presenting a broader perspective and measurement of national innovation efficiency by taking an extensive number of indicators into account.

Cities are host to many of the world’s knowledge intensive research and innovation clusters. As such, they are likely to be attractive locations for emerging market multinational enterprises (MNEs) seeking to engage in knowledge seeking “springboard” type firm-level catch-up strategies. The purpose of this study is to therefore explore whether city-based research-intensive clusters containing deep pools of location bounded (i.e. “sticky”) knowledge are a stronger driver for greenfield research and development (R&D)-related FDI projects for Chinese MNEs than they are for developed market MNEs.

The authors use logistic modelling on 97,163 worldwide greenfield FDI projects to explore the relative likelihoods of Chinese MNEs engaging in R&D-related greenfield (i.e. “strategic asset seeking”) FDI projects as well as how city type (global or research-intensive cluster city) moderates this relationship for Chinese MNEs.

The authors find that Chinese MNEs are more likely to engage in overseas R&D FDI projects (compared with other types of project) than DMNEs and that research-intensive city clusters hold a stronger attraction for Chinese MNEs than developed market MNEs.

The authors discuss how the research contributes to the debate on emerging market MNE catch-up theory, as well as that on sub-national city location choice, by highlighting the growing importance of sub-national geography to understanding strategic asset seeking related greenfield FDI.

Sub-national city location choice is an important driver of strategic asset seeking FDI for Chinese MNEs, one that both national and local city level policymakers should pay attention to.

Chinese FDI via aggressive mergers and acquisitions to acquire key technologies has been restricted in recent years. Policymakers must consider whether they may also wish to restrict Chinese greenfield FDI in R&D-related projects, which now exhibit a pronounced upward trend.

The authors highlight the growing importance of sub-national geography to understanding strategic asset seeking related greenfield FDI in Chinese MNEs (and how it plays, more generally, a central role in their strategies).

The purpose of the paper is to emphasize the performance benefits of a long-term innovation and value creation perspective. This paper responds to the recent concept of the imagination premium method for valuing companies. It offers four key takeaways to create a long-term innovation-focused orientation for future value creation.

The research is based on both consulting experience and insight from several studies of executives that were supported by the U.S. Conference Board.

The research differentiates how high versus low innovators create long-term perspectives and value. High innovators have explicit processes that support innovation, leadership that focuses on long-term performance, resources committed to long-term projects and innovation and knowledge management systems that transfer knowledge throughout the organization.

The research offers strategic directives aimed at creating long-term value but acknowledges that there are other means to accomplish such objectives.

This paper offers strategies for executives to create an innovation-focused organizational culture that drives lasting long-term value.

Focusing on long-term innovation prioritizes larger social, environmental and business objectives over superficial short-term stock price changes, leading to greater value-creation.

This paper advocates that leadership play the long game and adopt a longer-term view of innovation due to its long-term competitive, employee engagement, sustainability and performance benefits.

A large part of the most recent studies in innovation focuses on the need to investigate the cultural differences between countries. Many of the approaches used focus on Hofstede as the most recognized perspective in international business. The Hofstede perspective requires a deeper analysis of the most profound components in the countries, such as values and beliefs. The purpose of this study is identify the drivers in creating innovation trajectories over time, focusing on different values that influence the innovation processes. These trajectories allow investigating the comparability in the innovation performance of the countries.

Time-series analysis is performed to achieve the research’s goal, considering the innovation inputs and people’s values and influence on innovation output. The Global Innovation Index and the World Value Survey (WVS), which comprise data from countries on different continents, were used in this investigation. The trajectories analysis technique examines differences in innovation trajectory among countries with cultural orientations toward traditional, secular, survival and self-expression values.

In the literature, it can be found that in more socially open societies, the results in innovation are higher than in societies with opposite values, as is the case of traditional vs secular rationale. On the other hand, societies with a tendency toward self-expression will be characterized by a constant search for individual liberties that promote the search for scientific and technological alternatives for problem-solving, contrary to those with survival characteristics.

Considering the results obtained in the study about the values and their relationship with innovation at the country level, the main limitation is the WVS information. This limitation is based on the need to complement the information obtained with other sources of information that allow comparisons to be made from the different cultural approaches that exist.

The findings allow us to contemplate a more general vision of the cultural factors that affect the social dynamics and, therefore, the industrial and commercial dynamics of a country. The managers can use this type of results in the design of strategies that allow them to contemplate adaptation processes that are more appropriate to the cultural contexts in which they operate are worked on in this research.

One of the main contributions is related to the possibility of understanding the relationship between the cultural dynamics of a country and the results in innovation, especially in the time.

The trajectory analysis, specifically Inglehard’s perspective concerning cultural dimensions and innovation, has not been used in the literature. This type of analysis will make it possible to have studies that allow subsequent comparisons to be made with other perspectives, especially at the country level.

This study investigates the personal factors influencing innovative entrepreneurship combined with additional contextual insights from high-income European countries. Specifically, this study has three main objectives: (i) to measure differences in the level of entrepreneurial innovativeness activity among high-income European regions; (ii) to uncover key factors leading to appropriate levels of entrepreneurial innovativeness and (iii) to suggest policies that may enhance the regional level of entrepreneurial innovation.

A sample of 4,430 nascent and new entrepreneurs from 16 different high-income European countries drawn from the Global Entrepreneurship Monitor (GEM) Adult Population Survey (APS) was used in conjunction with macroeconomic indicators. Data were analyzed using a logistic regression analysis.

There are significant differences in the conditions that influence entrepreneurial innovativeness in European regions. These variations in entrepreneurial activity can be explained using contextual factors and individual characteristics. Although technological novelty increases the probability of innovative entrepreneurship, the technology effect is significantly greater in Western Europe than other regions across Europe.

This study illustrates how a contextualized view of entrepreneurship enriches the knowledge of the human and dynamic socioeconomic drivers that motivate innovative entrepreneurial action in high-income European countries.