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The literature stresses the importance of collaboration patterns and the role of public funding in regional competitiveness. This study aims to contribute to a better understanding of this subject by focusing on two key dynamics of technological cooperation. First, the authors focus on the ability of public funding to support regional technological demand through the promotion of science and technology-based innovation (STI) and innovation based on learning-by-doing, learning-by-using, learning-by-interacting (DUI) cooperation. Second, the authors investigate whether such cooperation patterns influence the companies’ ability to support the development of novel products through the effective transfer of knowledge.

The data used in this longitudinal study are taken from the Basque statistics agency’s (EUSTAT) technological innovation survey, which compiles activities, personnel, funding sources, support institutions and other innovation-related aspects of businesses in the Basque region. The survey was carried out following the methodology of the community innovation survey (CIS). CIS data are used to generate official innovation statistics for the EU and its member countries and have been used extensively for analysis in economics. The sample included an unbalanced panel of 17,431 companies that reported research and development expenditure for the period 2013‐2017.

The results of the analysis confirm that the relationship between STI cooperation and regional funding is positive (Piñeiro-Antelo and Lois-González, 2019), but regional DUI cooperation will have a greater impact than STI cooperation on a company’s ability to generate novel products. The authors can, therefore, say that public funding is successful at supporting cooperation between science and technology agents and firms but fails to promote the transfer of knowledge and subsequent development of novel products in companies in the region.

Following a quadruple helix approach, it is important to underline the need for public policies to strengthen the connections between all the key agents in the ecosystem (where the research community, industry, public sector and citizens are all active actors), promoting technology transfer and dissemination, as well as trust among the parties, absorptive capacity and business access to resources and financing. Thus, the design of public policies should be oriented to support a firm’s innovation, balancing the exploration and exploitation of STI and DUI regional cooperation.

The contribution of this research is threefold. First, it serves to emphasize the importance of the impact of regional innovation systems on business innovation modes and their performance. Second, it takes the study of innovation systems and their impact on companies a step further by examining the impact of public funding on the companies’ ability to explore and exploit regional innovation modes. Thirdly, the authors offer a dynamic view of the region’s ability to support its own demand for technology and study the impact of regional business modes on the firms’ ability to support novel products.

Drawing on the resource-based view (RBV) and knowledge-based view (KBV) theories, this study contributes to deepen the knowledge that corporate social responsibility (CSR) exerts on firms' innovation, considering the role played by cooperation. The research also seeks to ascertain the factors that influence the development of business cooperation.

The database used is the Community Innovation Survey (CIS, 2014) applied in the European Union (EU) during the time period 2012–2014. A sample of 7083 Portuguese firms were analyzed through the partial least squares structural equation modeling (PLS-SEM).

The results suggest that CSR positively relates with firms' innovation, and business cooperation partially mediates this relationship. The outcomes also reveal that investing in certain types of innovation activities increases the firms' willingness to cooperate.

The findings contribute to encourage an open innovation strategy as an easy and effective way to cope with rapid trends and changes, since it demonstrates the complementary between innovation and cooperation, as sources of value creation. From a triple bottom line (TBL) perspective, it also highlights that CSR must include social, economic and environmental initiatives, and should be a part of the firms' innovation strategy. As a result, managers who intend to contribute for society in the long term should plan, monitor and manage all CSR dimensions.

The study aims to test the success of university-industry (U-I) collaboration in terms of innovation process efficiency. Then, this study explores the moderating role of a set of organizational routines in the U-I relationship, which can help in overcoming the issues undermining the collaboration success.

The study is based on an international Open Innovation (OI) survey. The survey investigated the items to build the main variables of the conceptual framework, measured through seven-point Likert scales. Steps to ensure the reliability and validity of the variables were conducted. Then, hypotheses were tested with an ordinary least squares regression.

Results show that the higher the collaboration intensity (depth) with universities, the higher the innovation process efficiency. Furthermore, organizational routines aimed at improving firms' assimilation absorptive capacity further strengthen the positive effects of intensive collaboration on innovation process efficiency.

Findings indicate that R&D managers should strive to build deep collaborations with universities to enhance process efficiency and invest in the quality of these relationships. Managers should create and maintain an internal environment that further enhances the positive effects of intensive collaboration on innovation process efficiency.

The OI literature has not reached a shared view on the positive contribution of universities toward industrial firms' innovation performance. The study adopts a process-efficiency view, rarely used by other OI studies usually focused on output indicators; this study unpacks, respectively, the role of the intensity of collaboration and the organizational routines, thus disclosing the benefit of U-I collaboration on innovation efficiency.

Innovation output around the world is concentrated in very few economies possessing the requisite skills, knowledge and market acumen to capitalize on emerging technologies. Within the broader European Union, Central and Eastern Europe countries persistently lag in innovation rankings compared to their Western Europe counterparts. The existence of cultural barriers to innovation has been offered as an explanation for the lag, in the sense that perceptions about innovation affect innovation performance. The purpose of this paper is to provide evidence-based analysis on whether there are divergent perceptions at the firm level between East and West.

The focus is on four countries with distinct socioeconomic profiles (Germany, Poland, Portugal and North Macedonia) for which innovation data of sufficient granularity exist. Using Probit analysis across the regressors of firm size, sector and innovativeness, a detailed picture of perceptions of innovation emerges naturally.

The analysis demonstrates that there is no discernible East-West cultural divide but rather a palette of shades regarding perceptions of innovation, entrenched in firm-level characteristics. Specifically, firm size colors perceptions of innovation and such perceptions in turn are moderated by whether a firm is involved or not in innovation activities.

A better understanding of innovation culture at the firm level is essential to drive policy interventions aiming to remove barriers to innovation. The results of this study provide sufficient clues for more refined interventions, both internal (“procedures”) and external (“policies”) to the firm, targeting well-defined size segments as well as addressing differently innovative and non-innovative companies.

Companies need to innovate to remain in the market and be competitive. Thus, success will depend on your internal resources and the external sources of knowledge used. The cooperation between univerity and industry (U–I) allows companies to access resources that, in general, they do not have, allowing them to achieve innovation, competitive advantages, and competitiveness. The purpose of this study is to understand the determinants that influence U–I cooperation in creating knowledge and innovation.

This study analyzes the determinants considered essential for companies to establish cooperation processes with universities. The research uses the last community innovation survey data set, data from 14 countries, and 28,743 observations. The method uses logistic regression.

The results confirm that the company's size, the innovative capacities associated with R&D, exportation and public funds are essential and significant determinants for the cooperation with universities. On the other hand, the acquisition of machinery and training programs are not a critical factor in establishing cooperation with universities that are not in the same country. The analysis considered companies cooperation with universities of the same country, from the European Union (EU) or other countries outside EU.

In addition to providing substantial theoretical contributions on the subject, this research also provides more information about the importance of U–I cooperation, allowing to characterize companies interested in developing U–I cooperation.

This study aims to investigate the relationship between strategy intent (product-service innovation intention) and outcome (product-service innovation outcome), and the role that external sources of innovation play in influencing this relationship.

Using data obtained from the community innovation survey, we apply a logit regression to a sample of 1,419 Portuguese firms. By examining the moderating effect of open innovation breadth, we assess how the relationship between differentiation intent and outcome is contingent upon the involvement of external stakeholders.

Our findings reveal that the relationship between differentiation intent and outcome is contingent upon the moderating effect of open innovation breadth. Our analysis suggests that the negative influence of different sources of innovation can be addressed by adopting a paradox lens.

This research provides valuable insights for managers. By simultaneously pursuing a differentiation strategy and engaging in collaboration with external sources, firms may compromise their ability to effectively differentiate their offer. Managers should consider the potential tensions arising from internal and external stakeholder relationships to optimize their innovation strategies.

This study contributes to the existing literature by shedding light on the role of external innovation sources in influencing the relationship between differentiation intent and outcome and the importance that information systems may have in this relationship. By exploring the moderating effect of open innovation breadth, we provide a nuanced understanding of how firms can navigate organizational tensions and leverage innovation for competitive advantage.

Open innovation (OI), by now one of the major concepts for the analysis of innovation, is seen as a methodology for collaboratively designing and implementing solutions by engaging stakeholders in an iterative and inclusive service design process. This paper aims to empirically investigate OI capacities, defined as a cooperative, knowledge-sharing innovation ecosystem, and to explore how it can lead to improved performance of firms in Central and Eastern European (CEE) and Southeastern European (SEE) countries.

The study builds on the World Bank/European Bank for Reconstruction and Development (EBRD’s) Business Environment Enterprise Performance Survey (BEEPS) dataset for 2009, 2013 and 2019. Primarily, the research model was estimated using log-transformed ordinary least squares (OLS). Taking into consideration that this method might produce substantial bias, yielding misleading inferences, this study is fitting Poisson pseudo maximum likelihood estimators with robust standard errors and instrumental variable/generalized method of moments estimation (IV/GMM) approach for comparative results. Secondarily, the research model was tested using structural equation modelling (SEM) to investigate the relationship between five OI capacities and firm performance.

The findings indicate that there is a significant positive relationship between most OI capacities and firm performance, except for innovation, which did not show a statistically significant relationship with firm performance. Specifically, research and development (R&D), knowledge and coopetition are statistically significant and positively associated with firm performance, whereas transformation is statistically significant but negatively associated with firm performance. The IV/GMM estimations’ findings support the view that the firm performance is significantly affected by OI capacities, together with some control variables such as size, age, foreign ownership and year dummy to have a significant impact on firm performance.

This paper fills an identified gap in the literature by investigating the impact of OI on firm performance executed in the specific CEE and SEE country context.

Previous evidence has shown a generally positive relationship between continuously developed innovation, known as innovation persistence and employment growth in firms. This study investigates whether firm size moderates this relationship and how, considering persistent product and process innovation.

The authors studied the influence of firm size on the relationship between innovation persistence and employment using a 10-year panel database of firms based on national innovation surveys. The authors consider firm size as sales and measure innovation persistence through the hazard rate of innovation spells. To assess the main model, they use a system generalized method of moments (GMM) estimator.

The authors' main findings indicate that firm size negatively moderates the relationship between persistent innovation and employment growth. These results suggest that the positive effects of product and process persistent innovation on employment growth decrease as firm size increases. The authors also find evidence indicating that the moderator role of firm size is greater when firms innovate more persistently. Robustness tests with different specifications confirm the results.

The authors show that firm size negatively affects the strength of the relationship between innovation persistence and employment growth in product and process innovations. The authors also show that the moderator role of firm size is greater when firms are more persistent in generating product and process innovation. Additionally, using a panel dataset, they provide evidence from a sample of firms in a developing country where no studies on this matter have previously been conducted.

Innovation is considered as an important tool to succeed and survive in periods of great uncertainty such as COVID-19 crisis. This paper aims to empirically examine the propensity to engage in product, process and organizational innovation under uncertainty among small and medium enterprises and how that propensity varies depending on the gender of the manager.

Using the results of 213 responses by managers of Armenian small and medium enterprises in the scope of GLOBE-2020 survey, the authors investigate the role of manager’s gender in encouraging innovative attitude under uncertainty. To measure the relationship between uncertainty and innovation (product, process and organizational), Pearson’s correlation coefficients were calculated between managers’ perception about the uncertainty and their perceptions of innovation within their companies compared to the players in the external environment. In addition, a linear regression was run between the three innovation types and uncertainty.

The results of our analysis confirmed the positive relationship between uncertainty and innovation. Moreover, our results indicate that male managers have a higher tendency to undertake innovation under external turbulence.

This study fills the gap in the literature by studying the relationship between uncertainty and innovation, focusing on SMEs during adversarial times, which in contrast to bigger companies are limited in terms of their resources and, hence, capacity to innovate. The paper examines the gender dimension as an internal factor affecting innovation under uncertainty in an under-researched country context of Armenia, where female entrepreneurs deal with unique challenges to engage in innovative activities.

This study investigates the impact of cooperation with external partners on the intensity of product innovation as well as its commercial success. The focus is on firms located in the Eastern European countries that are seldom a subject of empirical innovation studies. The theoretical framework takes into account that moderate and modest innovator countries, which comprise the sample, have distinct innovation ecosystems relative to advanced economies.

The study uses data from the Business Environment and Enterprise Performance Survey (BEEPS) that was conducted in 2013–2014 and covering the period of the past three years. Product innovation is measured through its intensity (a number of product innovation) and through its commercial success (innovative sales). A set of hypotheses are tested using a negative binomial estimator (for the number of product innovation) and a tobit estimator (for innovative sales) estimated in Stata statistical software.

Empirical findings show that vertical cooperation has a positive effect on the intensity of innovation activities. In contrast, the authors find no evidence that horizontal cooperation or cooperation with science partners (universities and research centres) increase innovation intensity or its commercial success. Besides vertical cooperation, for a commercial success, it is equally beneficial for firms to use their own innovative ideas. These results taken together suggest that closed innovation and cooperation with customers and suppliers are critical determinants of product innovation in Eastern European firms.

The study contributes to expanding the research on knowledge management and open innovation in less advanced economies.