The role of state ownership and institutions in the innovation performance of emerging market enterprises: Evidence from China

Although it has been suggested that institutional context influences a firm's innovation performance, the role of regulatory institutions has been underexplored. Extending previous research, this study investigates whether and how regulatory institutions (i.e. state ownership, region-specific marketization and industry-specific institutional policy) affect innovation performance of emerging market enterprises (EMEs). Evidence derived from a large sample of Chinese manufacturing firms demonstrates that state ownership positively moderates the effect of R&D intensity on innovation performance. However, state ownership is not equally beneficial for all firms. Our analysis shows that region-specific marketization and industry-specific institutional policy enhance the innovation-enhancing effect of state ownership. By revealing the role of regulatory institutions, our study points to the importance of looking beyond firm boundaries to understand why EMEs are able to innovate despite their weak internal capabilities.     

Reprint of "The role of state ownership and institutions in the innovation performance of emerging market enterprises: Evidence from China"

Although it has been suggested that institutional context influences a firm's innovation performance, the role of regulatory institutions has been underexplored. Extending previous research, this study investigates whether and how regulatory institutions (i.e. state ownership, region-specific marketization and industry-specific institutional policy) affect innovation performance of emerging market enterprises (EMEs). Evidence derived from a large sample of Chinese manufacturing firms demonstrates that state ownership positively moderates the effect of R&D intensity on innovation performance. However, state ownership is not equally beneficial for all firms. Our analysis shows that region-specific marketization and industry-specific institutional policy enhance the innovation-enhancing effect of state ownership. By revealing the role of regulatory institutions, our study points to the importance of looking beyond firm boundaries to understand why EMEs are able to innovate despite their weak internal capabilities.     

Making sense of innovation by R&D and non-R&D innovators in low technology contexts: A forgotten lesson for policymakers

This paper attempts to use an integrated theory based on the framework of a firm's internal and external sources of knowledge to analyze how R&D activities differ in innovation from non-R&D activities, especially in the context of low and medium-low tech (LMT) sectors where most of the firms are SMEs. Simultaneously, the paper also explores the key differences between R&D and non-R&D innovators. The empirical analysis is based on a representative panel of 2023 Spanish manufacturing firms from the Spanish Ministry of Industry for 2005 and 2006. Innovation in product and process is explained using non-R&D variables such as marketing, design or the hiring of tertiary degree employees. Only innovation in product is explained by R&D expenditures. Regarding innovation in process, the R&D variables work in a few specific cases. Therefore, innovation can be explained using non-R&D variables. The firms with more internal resources, those which conduct R&D activities, present a better absorptive capacity (AC) and this leads them to engage in cooperation agreements and to access external flows of knowledge. The paper has important implications for policymakers due to the fact that most policies for R&D are based just on R&D programmes.     

Listen to the market: Do its complexity and signals make companies more innovative?

This paper analyzes four modes of innovation that differ in their scope of newness (innovation generation and adoption) and in their degree of change (radical and incremental). Building a theoretical model based on the market orientation (MO) and contingency theory literature and using a sample of innovative firms, we find that MO positively influences the numbers of incremental generation and adoption of innovations. We also find that environmental complexity moderates the relationship between MO and radical and incremental innovation generation and the number of incremental innovation adoption. That is, we have found that highly complex environments enhance the introduction of radical and incremental internally generated innovations and harm the adoption of incremental innovation for market-oriented firms. These findings add to the innovation and MO literatures. Our results also have important implications for both the commercial activities and R&D policies of firms.     

Are innovation and R&D the only sources of firms’ knowledge that increase productivity? An empirical investigation of French manufacturing firms

The economic literature presents knowledge accumulation as one of the most important characteristics of innovation. The accumulation of knowledge arises from complex and dynamic interactions between a firm??s own internal capacity and external expertise. Research and development (R&D) remains important in the innovation process, but it must be integrated with knowledge from other sources, such as training and knowledge capitalization. This paper investigates the relationship between such knowledge sources and the productivity of French firms. Using asymptotic least squares, a Cobb-Douglas function including R&D, innovation, training expenditure and ISO 9000 certification is estimated for 1,213 French manufacturing firms. Our results show that innovation, training and ISO 9000 certification have a positive and significant impact on firms?? productivity.     

Exploring the linkages of green transformational leadership,organizational green learning,and radical green innovation

Radical green innovation is the necessary way for countries and firms to achieve sustainable development. Although the influencing factors of green innovation have attracted extensive attention, there is little research on the antecedents of radical green innovation. Drawing on organizational learning theory and attention-based view, this study proposes R-I ratio to measure the configuration of exploratory green learning and exploitative green learning, then analyzes the relationships among green transformational leadership, R-I ratio and radical green innovation, and examines the moderating effects of green R&D investment and environmental regulatory pressure. Based on a sample of 243 manufacturing firms in China's strategic emerging industries, the empirical results reveal that green transformational leadership promotes R-I ratio, and R-I ratio has inverted U-shaped relationship with radical green innovation. The results also find that green R&D investment plays U-shaped moderating role in the relationship between green transformational leadership and R-I ratio, and environmental regulatory pressure positively moderates the relationship between green transformational leadership and R-I ratio. The study not only reveals the relationships of green transformational leadership, organizational green learning and radical green innovation, but also provides theoretical guidance and management practice for manufacturing firms and government to promote radical green innovation.     

The impact of open innovation on firm performance: The moderating effects of internal R&D and environmental turbulence

Researchers have identified open innovation as two dimensions, external technology acquisition and external technology exploitation. This study explores the direct and interactive effects of these two dimensions on firm performance and further examines the moderation effects of two factors (i.e., internal R&D and environmental turbulence) on the relationship between both types of open innovation and firm performance. Based on Chesbrough's open innovation model, multi-item scales were developed to measure two dimensions of firm-level open innovation. Survey results of 176 Taiwanese high tech manufacturing firms provide support for most hypotheses. The result shows that external technology acquisition positively affects firm performance, whereas external technology exploitation does not. This study also finds that external technology acquisition strengthens the relationship between external technology exploitation and firm performance. Both external technology acquisition and external technology exploitation are positively related to firm performance under high internal R&D investment and a turbulent market environment. However, technological turbulence only positively affects the relationship between external technological acquisition, but not external technology exploitation, and firm performance. The findings contribute to enhanced understanding of how the degree of leveraging open innovation dimensions depends on their complementarity, internal R&D, and environmental turbulence.     

Mining the R&D innovation performance processes for high-tech firms based on rough set theory

The research and development (R&D) innovation of firms continues to be viewed as an important source of competitive advantage to academics and practitioners. To explore and extract the R&D innovation decision rules, it is important to understand how the R&D innovation rule-base works. However, many studies have not yet adequately induced and extracted the decision rule of R&D innovation and performance based on the characteristics and components of the original data rather than on post-determination models. The analysis of this study is grounded in the taxonomy of induction-related activities using a rough set theory approach or rule-based decision-making technique to infer R&D innovation decision rules and models linking R&D innovation to sales growth. The rules developed using rough set theory can be directly translated into a path-dependent flow network to infer decision paths and parameters. The flow network graph and cause-and-effect relationship of decision rules are heavily exploited in R&D innovation characteristics. In addition, an empirical case of R&D innovation performance will be illustrated to show that the rough sets model and the flow network graph are useful and efficient tools for building R&D innovation decision rules and providing predictions. We will then illustrate that integrating the flow network graph with rough set theory can fully reflect the characteristics of R&D innovation, and, through the established model, we can obtain a more reasonable result than with artificial influence.     

Myth or reality? Assessing the moderating role of CEO compensation on the momentum of innovation in R&D

This study researches the influences of CEO compensation on firm behavior to examine the interactive relationship between the behavioral momentum of innovation in R&D and CEO compensation. The models presented in this study are based on evolutionary, institutional, and agency theories to test hypotheses using data from 107 companies in the high-technology sectors in the United States. The results indicate that the pre-succession innovative behavior of these high-technology firms on R&D can positively affect these firms' post-succession innovative behavior towards R&D. That is, positive momentum in R&D innovation prevails in a firm across a change of the CEO. However, for the role of CEO compensation, short- and long-term compensation does not positively moderate this behavioral momentum in R&D. Hence, the moderating impact of short- and long-term CEO compensation to enhance the momentum of innovation in R&D can be romanticized. These findings provide boards of directors with evidence as to how a CEO succession matters to a firm's behavioral momentum in R&D, and whether CEO compensation can be strategized to change a firm's innovation and momentous behavior.     

The role of returnee executives in improving green innovation performance of Chinese manufacturing enterprises: Implications for sustainable development strategy

Environmental problems in China have attracted global attention. Grafting returnee executives' green resources to Chinese manufacturing enterprises is an effective way to solve China's sustainable development problems. This paper focuses on the impact of returnee executives and the heterogeneity of returnee and local executives on green innovation performance and the moderating effects of environmental regulation and managerial ties. The paper builds on data from 276 Chinese manufacturing enterprises. The results show that returnee executives tend to achieve sustainable development through green innovation. However, not all kinds of heterogeneity between returnee and local executives can promote green innovation performance. In addition, environmental regulation and managerial ties, as two important external moderation variables, have different impacts and different extents of impact on the relationship between returnee executives and four aspects (R&D, manufacturing, marketing, and management) of green innovation performance, that is, environmental regulation positively moderates the relationship between returnee executives and green manufacturing and management innovation performance but negatively moderates the relationship between returnee executives and green R&D and marketing innovation performance. These findings have clear management implications for Chinese manufacturing enterprises.     

Credit constraints and R&D over the boom and bust: Firm-level evidence from Central and Eastern Europe

This paper studies the effect of credit constraints on R&D over the recent boom and bust episode in Central and Eastern European countries (CEECs). Given that financial and venture capital markets in CEECs are thin in comparison to those in high-income economies, it is proposed that credit constraints have a significant adverse effect on R&D activity in these countries. The paper uses three waves of Business Environment and Enterprise Performance Survey (BEEPS) data between 2005 and 2013 on manufacturing firms from ten CEECs. We find that credit constraints have a substantial effect on R&D engagement, as the probability of credit constrained firms undertaking R&D activities is around 30 % lower than for other firms. The adverse effect of credit constraints for R&D emerges during the years of fast economic growth.     

How Does Open Innovation Modify the Relationship between Environmental Regulations and Productivity?

With increasingly severe environmental regulations, a pressing issue has been the need for firms to develop efficient strategies to achieve environmental protection and high productivity. Several environmental experts argue that firms can respond to environmental regulations through innovation; however, the question of how to innovate is unanswered in the environmental literature. Therefore, this study focuses on the open innovation strategy approach to respond to environmental regulations and maintain high productivity by incorporating the idea of innovation management. We first divide open innovation strategy into two modes of external technology acquisition: foreign and domestic. Next, we examine these modes' mediation effects on environmental regulations and productivity. In addition, we test the moderating effect of internal R&D on the relationship between external technology acquisition and productivity. Using data on 35 Chinese industrial sectors from 2001 to 2010, the empirical findings show that foreign technology significantly and positively mediates the link between environmental regulations and productivity, while domestic technology does not. Internal R&D investment, as an absorptive capacity, positively moderates the effect of foreign technology; however, it negatively moderates the effect of domestic technology on productivity. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

The effect of R&D novelty and openness decision on firms' catch-up performance: Empirical evidence from China

This paper explores the strategic dimensions of R&D decisions toward novelty and openness in explaining the performance of latecomer firms in a developing economy. A structural equation model of R&D decision-making is formulated using survey data from 279 Chinese firms. The dimension of R&D novelty is defined as the degree of technological newness found in firms' R&D projects, while R&D openness describes the degree to which technologies are acquired from external sources. Our results indicate that firms' R&D decisions regarding novelty and openness are associated with demand opportunities, market competition, technological capability, and external networks. Greater R&D novelty contributes positively to innovative output but does not affect sales growth. Greater R&D openness contributes positively to sales growth but negatively to innovative output.     

An analysis of firm-level innovation strategies in the US biotechnology industry

This study examines factors that may affect innovation strategies and performance of firms in the biotechnology industry. Specifically, differences between factors common to firms with high R&D intensity and those to firms with low R&D intensity are investigated. Biotechnology firms with relatively higher levels of R&D intensity attribute their innovation performance to research-based innovation factors and strategies such as strengthening their own research capabilities, entering into research collaborations with universities, industry leaders and other biotech firms, and licensing their technology. These strategies can be summarized as alignment within the industry. Firms with relatively lower R&D intensity have a hybrid focus—they invest in R&D but may also have products on the market. These firms attribute their innovation performance more so to production-based innovation factors and strategies such as gaining market access and maintaining connections with customers. Their strategy focuses on competitiveness, marketing, and distribution channels, while not ignoring the importance of a strong research base and the need to advance technologically. In a sense, strategies employed to achieve successful innovation reflect the stage of innovation in which a firm is operating for a particular product or process.     

Is R&D spending influenced by disinvestment and local political corruption? The case of Indian central public sector enterprises

The current study examines the effect of disinvestment (dilution of state ownership) and local political corruption on R&D spending in enterprises owned by the central government of India. Based on certain characteristic features of innovation as a strategy available to state-owned enterprises, I build two sets of hypotheses formalising the channels of how these variables may affect the possibility and amount of R&D. Data is drawn from multiple sources to compile a dataset that covers all manufacturing central government-owned enterprises in India over a period of ten years from 2007 to 2016. The study employs an instrumental variable technique to reduce the endogeneity between disinvestment and R&D decisions. We find that, while disinvestment and local political corruption have strong negative effects on whether a firm invests in R&D or not, it has no effect on the amount of R&D. In fact, the amount is driven by a host of firm-specific factors such as size, profit and proficiency of the share of skilled labor, managerial strength and non-unionisation of labor. We also find that the effects are strongly driven by the size of firms, special status awarded to firms and the ideology of the state where the enterprise operates.     

How does R&D intensity influence firm explorativeness? Evidence of R&D active firms in four advanced countries

Despite R&D is seen as a starting point of innovation, firms usually confront a trade-off in allocating limited R&D resources to either exploratory or exploitative activities. Relative to the latter, the former produces a more distinctive variation from the prior knowledge base and helps the firm tap into new opportunity. Given the increasing importance of firm explorativeness in the fast changing environments, the influence of R&D investment on firm explorativeness is not yet conclusive in the literature, not to mention whether the increased R&D investment induces firms to become more explorative. This study aims to generate insight into how and when firm explorativeness is determined by their R&D intensity. As a notion of the use of knowledge new to the organization, firm explorativeness is treated as the degree of using knowledge new to the organization in the pursuit of innovation. Based on a panel data of 1267 firm-year observations in four advanced countries during 1999–2003, the results reveal that a higher level of R&D intensity makes firms more exploitative and less explorative. Nevertheless, the negative relationship between R&D intensity and firm explorativeness is found to be alleviated in the presence of technological opportunity or financial slack. The configurational model sheds further light on the combined and relative weight of two moderators.     

R&D cooperation and unintended innovation performance: Role of appropriability regimes and sectoral characteristics

This research empirically examines the relation between R&D cooperation and unintended innovation performance. The effects of appropriability and sectoral conditions on the unintended innovation performance in the context of R&D cooperation were also tested. Binary logistic regression was used to analyze the manufacturing firms sampled from the Korea Innovation Survey (KIS) 2012. Our estimation results show that for the high-tech focal firms under strong appropriability regime, cooperation with competitors increases the likelihood of their unintended innovation performance. For the high-tech focal firms under weak appropriability regime, cooperation with customer and user firms and universities increases the likelihood of their unintended innovation performance. For the low-tech firms under strong appropriability regime, cooperation with the customer and user firms and advisory organizations increases the likelihood of unintended innovation performance. For the low-tech firms under weak appropriability regime, cooperation with competitors and government research institutes increases the likelihood of unintended innovation performance. As a whole, the significance of this paper lies in shedding a new light on approaching the innovation performance with the notion of unintended innovation performance, which is shaped by different partner types and environmental conditions.     

A micro-econometric analysis of the role of R&D spillovers using a nonlinear translog specification

This paper assesses the impact of Research and Development (R&D) spillovers on production for a panel of 1,203 Italian manufacturing firms over the period 1998–2003.The estimations are based on a nonlinear translog production function augmented by a measure of R&D spillovers which combines the geographical distance between firms, the technological similarity within each pair of firms and the technical efficiency of each firm. The estimation method takes into account the endogeneity of regressors and the potential sample selection issue regarding the decision by firms to invest in R&D. Results show that the translog production function is more suitable than the Cobb-Douglas for modelling firm behaviour and that returns to scale are increasing. Moreover, the internal and external stocks of technology exert a significant impact on firms’ production. Finally, it emerges that, for Italian manufacturing firms, R&D capital and R&D spillovers are highly substitutes.     

The differential effects of public R&D support on firm R&D: Theory and evidence from multi-country data

This paper aims to evaluate the effects of various forms of public research and development (R&D) support on firms’ incentives to invest in R&D. First, in order to identify potential channels through which public R&D support influences firm R&D, a formal model of firm R&D with public R&D support is developed and analyzed. Four potential channels are identified: the technological-competence-enhancing effect, the demand-creating effect, the R&D-cost-reducing effect and the (project) overlap (or duplication) effect. These multiple channels indicate that it is difficult to evaluate the aggregate effect of public R&D support and that there are differential effects of public R&D support on firm R&D, depending on various firm- or industry-specific characteristics. Second, the differential effects of public R&D support are empirically tested using unique firm-level data for nine industries across six countries. Public support tends to have a complementarity effect on private R&D for firms with low technological competence, for firms in industries with high technological opportunities and for firms facing intense market competition. In contrast, firms with high technological competence and firms that have enjoyed fast demand growth in recent years show a crowding-out effect, and firm size and age do not show any discernible differential effect.     

Favorable strategies for the success of entry into new technological areas: an entrepreneurial perspective

This study considers the act of entering into new technological domains for R&D purposes as one of the most intense entrepreneurial activities within large established firms, referring to it as R&D entrepreneurship. Attempting to detect factors that could strengthen (or weaken) the impact of R&D entrepreneurship on innovation performance, I examine the moderating role of three important R&D strategies, namely the knowledge plurality, internal focus, and R&D collaboration. I empirically test the hypotheses developed in this study on secondary, longitudinal economic and patent data from a sample of 139 firms from the industries of pharmaceuticals, biotechnology, and chemicals for a 7-year period, using fixed-effects negative binomial regression models. Findings support that the relationship between R&D entrepreneurship and innovation performance is positively moderated by knowledge plurality but negatively by internal focus and R&D collaboration.