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.     

R&D in a strategic delegation game

This paper studies how a separation of ownership and management affects firms' R&D and production decisions in Cournot quantity competition. It is found that when R&D spillovers are small, owners strategically direct their managers away from profit maximization towards sales. Consequently, managerial firms invest more in R&D and have higher output and lower prices compared to their entrepreneurial counterparts. On the other hand, when spillovers are large, owners ‘penalize’ managers for sales. In this case, managerial firms have lower R&D, lower output and higher prices. Nonetheless, managerial firms have lower profits than their entrepreneurial counterparts regardless of spillovers. This paper also examines the welfare effects of a separation of ownership and management. It is found that in terms of first-best social welfare, managerial firms are more (less) efficient than their entrepreneurial counterparts with low (high) spillovers. However, in terms of second-best social welfare, managerial firms are less efficient with all spillovers. © 1997 John Wiley & Sons, Ltd.     

Managerial incentives and R&D investments: The moderating effect of the directors’ and officers’ liability insurance

Literature regarding the impact of managerial incentives on firm’s research and development (R&D) investments suggests that due to the riskiness of R&D activities, firms need to provide managerial incentives to encourage managerial discretion on corporate long-term investments of R&D. In spite that managerial incentives influence corporate R&D spending, some also argue corporate R&D spending a function of managerial incentive schemes. This paper applies the simultaneous equation to investigate the association between managerial discretion on R&D investments and the incentive scheme of CEO compensations by using the sample firms listed in Taiwan Security Exchange and Taipei Exchange. The results indicate that the listed firms in Taiwan simultaneously determine corporate R&D investments and CEO compensations. They reward their CEOs in compliance with their efforts on R&D investments and CEO compensation motivates CEOs to align their interests with firms’ long-term investments on R&D. A further analysis of the protection effect from the directors’ and officers’ (D&O) liability insurance suggests that D&O protection intensifies the relationship between R&D investments and CEO compensation. It encourages CEOs to allocate resources on R&D activities and make CEO incentive contracts efficacious on corporate long-term investments. The result is robust in the electronic industry of Taiwan.     

Research collaboration and R&D outsourcing: Different R&D personnel requirements in SMEs

The literature on ‘open’ innovation emphasises the need to engage in external knowledge relations in order to innovate. Particularly for SMEs, research cooperation and R&D outsourcing can offer possibilities to complement the often limited internal research resources. However, they also bring in their wake requirements in terms of absorptive capacity and managerial skills of the internal R&D personnel.The paper focuses on the different requirements in terms of availability and training of research managers and R&D experts for research cooperation versus R&D outsourcing in SMEs. An empirical analysis of micro-level data provided by the OECD business R&D survey for Belgium reveals that the relation between R&D personnel requirements and research collaboration and R&D outsourcing depends upon the SME size. Therefore, to study this subject appropriately a distinction between very small, small, and medium-sized firms is relevant. Very small firms engage significantly less in research cooperation than medium-sized firms and the propensity to engage in research cooperation is positively associated with the share of PhD holders among the research managers and R&D experts. For R&D outsourcing a lower involvement is noted in medium-sized firms, and the propensity to outsource increases with the formal qualification level of the R&D personnel and with R&D training. Among the SME, small firms are most engaged in research cooperation and in R&D outsourcing. In the case of research cooperation they rely on highly qualified experts. For R&D outsourcing activities both the presence of research managers and R&D experts is important.     

The R&D knowledge base in city-agglomerations and knowledge searching in product innovative SMEs

ABSTRACT

This paper looks at the relation between the R&D knowledge base of city-agglomerations and knowledge sourcing in product innovative small and medium-sized enterprises (SMEs). The small open Belgian economy is used as a test case. The characteristics of the city-agglomeration’s R&D knowledge are posited to be instrumental for SMEs’ reliance on particular sources of information for innovation. The R&D knowledge base is studied as a multidimensional concept consisting of R&D capacity, R&D specialization and R&D diversification. A representative sample of product innovative SMEs drawn from two waves of the Community Innovation Survey between 2008 and 2012 reveals that a strong R&D capacity at city-agglomeration level favours private external information sources for innovation, but has no influence on the likelihood to rely on public sources for innovation. Accordance between specialization of the private R&D knowledge base and the SME’s activities positively influences the use of clients as information sources for innovation, whereas under these circumstances supplier responsiveness turns out to be less frequently solicited for. A more diversified private R&D environment reduces the reliance on universities and public research organizations as information sources for innovation. A public R&D knowledge base specialized in natural sciences or engineering favours information sources from universities.     

Reprint of "Performance evaluation of China's high-tech innovation process :Analysis based on the innovation value chain"

The Chinese high-tech industry has developed greatly since the beginning of China's “National High-tech R&D (863) Program” and “China Torch Program”. This paper introduces a conceptual model extended from the innovation value chain model to simultaneously estimate the R&D and commercialization efficiencies for the high-tech industries of 29 provincial-level regions in China. To match reality, a network DEA incorporating both shared inputs and additional intermediate inputs is constructed to open the “black box” view of decision making units used in single-stage DEA. This study is the first attempt to link the R&D and commercialization with a solid theoretical foundation and feasible mathematical methods. The empirical findings show that most of the 29 regions have low efficiency in the commercialization sub-process compared to the R&D sub-process, although there are regional differences in China's high-tech industry. Pearson correlation shows that the R&D sub-process is not closely correlated to the commercialization sub-process in terms of efficiency. Our analysis can provide information for the formulation of policies to achieve high innovation efficiency.     

Performance evaluation of China's high-tech innovation process: Analysis based on the innovation value chain

The Chinese high-tech industry has developed greatly since the beginning of China's “National High-tech R&D (863) Program” and “China Torch Program”. This paper introduces a conceptual model extended from the innovation value chain model to simultaneously estimate the R&D and commercialization efficiencies for the high-tech industries of 29 provincial-level regions in China. To match reality, a network DEA incorporating both shared inputs and additional intermediate inputs is constructed to open the “black box” view of decision making units used in single-stage DEA. This study is the first attempt to link the R&D and commercialization with a solid theoretical foundation and feasible mathematical methods. The empirical findings show that most of the 29 regions have low efficiency in the commercialization sub-process compared to the R&D sub-process, although there are regional differences in China's high-tech industry. Pearson correlation shows that the R&D sub-process is not closely correlated to the commercialization sub-process in terms of efficiency. Our analysis can provide information for the formulation of policies to achieve high innovation efficiency.     

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.     

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.     

Knowledge management system for fourth generation R&D: KNOWVATION

Since the advent of the embryonic model almost a century ago, R&D systems have gone through an evolutionary process of development that can be classified into three generations. Today, the fourth generation of R&D is emerging that emphasizes both strategic and operational importance of knowledge management (KM). Despite the importance of KM, the network between conceptual scheme of the fourth generation R&D and practical system of KM remains a missing link. In response, the main objective of this paper is to present a framework for designing and implementing knowledge management system (KMS) for the fourth generation R&D. The proposed system is named KNOWVATION, which combines the notions of knowledge and innovation. First, the evolutionary classification of the R&D generations and the corresponding characteristics of the respective generations are defined. Second, the organizational structure and knowledge functions of the fourth generation R&D are derived. Finally, the overall design framework and detailed sub-modules are presented.     

The R&D location decision of the firm and “creative” regions—a survey

In the flurry of recent concern about and research on high technology firms and economic development, there is relatively little attention paid to the perspective of firms and their location decisions. This paper surveys the literature on the location of R&D facilities and on attempts to establish regions based on innovation and creativity. The locations of R&D facilities are constrained by the labor market for scientists and engineers. The locational needs of the firm revolve around ensuring both that professional labor will be able to be attracted to its R&D locations, and that communication (especially face-to-face communication) will be facilitated. Given these twin concerns, R&D is likely to locate primarily in large urban regions. The corresponding success of regions which hope to become major areas of spin-off and creativity is likewise constrained by the joint preferences of R&D workers, venture capital investors, and high-tech employers.     

Learning from R&D outsourcing vs. learning by R&D outsourcing

We analyze how research and development (R&D) outsourcing influences product innovation. We propose a separation between learning from R&D outsourcing, whereby the firm improves its ability to innovate by using outsourced R&D directly in new products, from learning by R&D outsourcing, whereby the firm indirectly uses outsourced R&D by integrating it with internal R&D to create new products. Building on the knowledge-based view, we argue that learning from R&D outsourcing is likely to have an inverse U-shaped relationship with product innovation, because the initial benefits of using outsourced component R&D knowledge to innovate products is eventually outweighed by the hollowing out of the firm's ability to innovate. In contrast, we propose that learning by R&D outsourcing is likely to have a U-shaped relationship with product innovation, because the initial challenges of integrating internal and external R&D are eventually overcome, resulting in more innovations. Finally, we distinguish between domestic and foreign R&D outsourcing and propose a liability of foreignness in R&D outsourcing as it has a lower impact on new products than domestic R&D outsourcing. The empirical analysis shows that outsourced R&D has an inverted U-shaped relationship with the number of new products, while the interaction between outsourced R&D and internal R&D has a U-shaped relationship with the number of new products. It also shows that domestic outsourced R&D has a higher positive impact on the number of new products than foreign outsourced R&D.     

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.     

R&D investment and future firm performance: The role of managerial overconfidence and government ownership

We investigate the relationship among managerial overconfidence (MO), government ownership, and research and development (R&D) investment using data from Vietnamese public companies for the period 2007–2016. We also investigate how R&D investment, given MO and government ownership, affect future firm performance. Our results indicate that MO and government ownership are positively related to R&D investment. Conceptually, this study investigates novel factors affecting of R&D investment and their role in improving firm performance. Overall, this study emphasizes the importance of R&D investment in the corporate world, improving firm performance and, ultimately, economic prosperity.     

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.     

Are venture capitalist-backed IPOs more innovative? Evidence from an emerging market

This study examines whether venture capital (VC)-backed IPOs are more innovative than otherwise equivalent non-VC-backed IPOs. Using manually collected R&D records from annual reports and patent data from the Chinese State Intellectual Property Office (CSIPO) from 2007 to 2012, we find that VC-backed IPOs have higher R&D expenditures and more patents granted in the three years after IPOs. More specifically, they have more invention, application, and design patents in post-IPO. We use a two-stage instrumental variable, propensity score matching, difference-in-differences approach to mitigate selection biases and find our results to be consistent with our hypothesis. We conclude that VCs can positively influence IPO firms to increase R&D expenditures and innovative output levels in China. In addition, we document that the government ownership adversely affects innovation of VC-backed firms. Policy implications are discussed.     

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.

     

The impacts of family involvement on R&D investment intensity in firms: Evidence from China

Drawing on the perspective of socioemotional wealth, this paper explores the types of family involvement in family firms and their impacts on R&D investment intensity. Using data from the forecasts issued by A-share family firms listed on Chinese stock markets between 2008 and 2019, the study finds that the separation of ownership and control is negatively associated with R&D investment intensity in non-high-tech firms, whereas potential gains of socioemotional wealth from R&D activities by high-tech firms produce a positive influence that offsets the negative impact of the separation of ownership and control on R&D investments. It reveals the importance of gains of socioemotional wealth. In contrast to the separation of ownership and control, family involvement in management is negatively associated with firms’ R&D investment intensity in both high-tech firms and non-high-tech firms. Our results capture the diversity of family members’ identity recognition, which leads to family members’ different evaluations of the potential gains and losses of socioemotional wealth. Overall, the distinction between high-tech family firms and other family firms is shown to be significant, as is the distinction between the impacts of different types of family involvement.

     

Short-term R&D bias,competition on cost rather than innovation,and time to market

Mounting evidence indicates that capital markets often apply short-term pressure on firms to gain short-term results by focusing primarily on reported financial performance. As a result of short termism, it has been argued that companies are likely to cut expenditure on R&D which might otherwise improve longer-term performance. As there is a growing consensus that R&D is critically important to both organizational and national performance, short termism may have significant detrimental organizational consequences. One implication arising from a short-term R&D bias, and examined in this paper, is its effect on market time reduction. Arguments are examined that suggest a dominant R&D strategy is to reduce product time to market. Concerns have been expressed, however, that such a strategy is applicable in specific circumstances only. A review of the literature suggests that analyst and shareholder bias against high-risk, long-term research in favor of lower-risk, short-term product R&D influences organizations to reduce the time it takes to get a product to market when the emphasis in the marketplace is on cost competition rather than product innovation. The findings of the study suggest that when the emphasis on competition on cost rather than innovation is low, short-term R&D bias does not affect market time. In contrast, when the emphasis on competition on cost rather than innovation is high, the results indicate that short-term R&D bias positively influences market time reduction. The study concludes with suggestions for further research.