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.     

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.     

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 impact of technological relatedness, prior ties, and geographical distance on university-industry collaborations: A joint-patent analysis

Empirical studies on R&D collaborations between universities and firms have mainly centered their attention on universities and firms' characteristics that favor the establishment of collaborative agreements. In this paper, I extend the current research framework investigating the role that specific technological and relational attributes may play on the relevance of such collaborations. Specifically, I focus on the effects exerted by three relevant factors, namely technological relatedness, prior collaboration ties, and geographical distance, on university-industry joint innovation value. I develop testable hypotheses about their impact on the innovative performance of R&D university-industry collaborations, and test them on a sample of 796 university-industry joint patents, developed by 33 universities located in 12 different European countries. Our results suggest that partners' technological relatedness has an inverted U-shaped relationship with innovation value. In addition, prior ties and geographical distance between universities and firms are both positively related to the achievement of higher innovative outcomes.     

Can supplier innovations substitute for internal R&D? A multiple case study from an absorptive capacity perspective

Prior literature suggests that significant internal R&D resources are needed to leverage suppliers for innovation and that external knowledge sources can be used to complement the internal knowledge base. Based on the analysis of four inbound open innovation projects at Fortum, a multinational energy utility company, we argue that companies with low R&D intensity may adopt an alternative approach which aims at substituting – not merely complementing – internal R&D with external innovations. We adopt the absorptive capacity perspective while investigating the cases and focus on four distinct capabilities: acquisition, assimilation, transformation, and exploitation. We find that the substitution approach consists of short-term research on new technological areas in order to gain the ability to identify and evaluate alternative technologies, as well as joint business models and operations based on complementary capabilities between the parties. The cases also suggest that the innovation process requires significant collaboration and the buying company's supplier management capabilities may improve the success of inbound open innovation projects of this type.     

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 impact of innovation strategy on R&D employees’ job satisfaction: A mathematical model and empirical research

This study develops a mathematical model to examine the effect of innovation strategy on R&D employee’s job satisfaction and to identify the optimal guidelines of innovation strategy, with conflict and organization performance being treated as the intermediary variables. The study further conducts an empirical survey to illustrate the contributions of this mathematical model. The results indicate that the product innovation has a greater influence on organizational performance, while the process innovation has a greater influence on conflict resolution among R&D employees. The mathematical and empirical results have provided an optimal guideline for determining the allocation of resources, which suggests that firms must focus on product innovation to gain the optimal R&D employee’s job satisfaction. In addition, the types of innovation policies along with rivals’ attitudes influence the advantages to be taken from a firm innovation strategy.     

How does knowledge depth moderate the performance of internal and external knowledge sourcing strategies?

Management literature has consistently shown that knowledge is the most important source of competitive advantage for a firm. However, it is still not clear how knowledge can lead to competitive advantage, and how firms can find strategies to leverage their knowledge bases. This study considers the strategic implications of knowledge depth and three knowledge-sourcing strategies: R&D, strategic alliances and acquisitions. The main and interaction effects of these factors were tested in the context of the US technology firms. The results confirmed the strategic role of knowledge and external leveraging strategies. We also found that technology firms with weak knowledge depth should focus on internal R&D to accumulate knowledge in core technology areas, while those with strong knowledge depth should lower internal R&D intensity and shift their strategic resources to inter-firm alliances and acquisitions.     

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.     

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.     

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.     

Fostering product innovation: Differences between new ventures and established firms

This study combines insights from the entrepreneurship, competency-based view and innovation policy literature to analyze the relationships among different types of public incentives designed to foster innovation and product innovation at both new ventures and incumbent firms. To test our hypotheses, we ran a system of regression models on a cross-national sample comprised of 5238 firms from 29 European countries and found a different pattern for new ventures and incumbents. Our results suggest that support for attendance or participation in trade fairs and networking with other companies are the most effective methods of promoting product innovation for new ventures. However, for incumbent firms, we found that the most effective policies consisted of tax reduction for R&D expenditures and subsidies for acquiring buildings or other infrastructure(s) for innovation activities. This distinction prompts interesting insights related to theory development in research on entrepreneurship and innovation policy.     

Should Directors Have Term Limits? – Evidence from Corporate Innovation

This paper examines the effect that directors with extended tenure have on corporate innovation based on a sample of US firms from 1996 to 2006. Using the propensity-score matched-pair research design, I find that firms with a higher portion of outside directors enjoying extended tenure produce significantly fewer patents and that these patents receive fewer subsequent citations. These firms also have lower research and development (R&D) productivity and exploration intensity than their matched control firms, although I found no significant difference in their R&D investment intensity. Difference-in-differences tests based on director deaths and regulatory changes in the early 2000s suggest that the adverse effect of long director tenure on innovation performance is causal. I also find that the effect is mitigated when long-tenured directors have more years of overlap in service with CEOs, and when long-tenured directors are executives at other firms. Finally, I find that boards with extended tenure attenuate the contributions of innovation outputs to future firm value and performance. These findings shed new light on the debate over length of board tenure and provide another justification for imposing term limits on directors.     

Strategic alliances: managing complementarity to capitalize on emerging technologies

There are many different ways for firms to enter emerging industries and many possible patterns of rivalry within such industries. Although the literature gives prominence to the pioneering role of small start-ups, the fact is that large firms have often tried to pioneer new industries, by leveraging on the achievements of their central research facilities. Some firms have sought an organizational complement to progressiveness in the R&D lab. This complement is the internal venture. However, internal ventures pose the difficulty of internal diversity. Strategic alliances, on the other hand, permit the firm to exploit new technologies in new industries with a minimum of internal diversity. They have the benefit of speedy access to technology or to market expertise, minimizing risk and financial exposure, and providing a greater focus when bringing resources to bear on innovation. Strategic alliances provide alternatives for collaboration between firms with minimal contamination of the pioneering and entrepreneurial spirit of new technology-based firms.     

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.     

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.

     

Spillovers,absorptive capacity and agglomeration

I study knowledge spillovers in an industry where firms are heterogeneous in their ability to adopt knowledge (absorptive capacity). I set up a model in which firms choose locations anticipating potential gains and losses from other firms’ R&D activity. I apply the model to the US software industry and obtain the following results: the data supports localized knowledge spillovers; firms that have higher absorptive capacity are sorted into more agglomerated counties; ignoring firm heterogeneity leads to biased estimates of gains from spillovers; spillovers play an important role in explaining the geographic distribution of firms, but only within regions with high R&D activity.     

Regional knowledge production as determinant of high-technology entrepreneurship: empirical evidence for Germany

Similar to the creation and distribution of new knowledge through industrial R&D and university research, entrepreneurial activity tends to vary across regions. Therefore the regionalized production of new knowledge is a prerequisite of entrepreneurial innovation. Based on endogenous growth theory, in particular the so-called Griliches-Jaffe-Model of regional knowledge production, we investigate industrial and university characteristics as determinants of technologically oriented entrepreneurship. Using hand-collected data from multiple sources, our results clearly show that high-technology entrepreneurship is highly dependent on regional knowledge production by industry and university, while technology entrepreneurship does largely not dependent on these factors.     

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.     

The effect of researchers' interdisciplinary characteristics on team innovation performance: evidence from university R&D teams in China

This study examines the effect of researchers' characteristics on the performance of R&D teams. Based on the multi-perspective of organization behavior and knowledge management, the authors adopt the framework of ‘Input-Process-Output’ regarding the process of the R&D team as knowledge creation. The theoretical model and corresponding hypotheses were tested empirically, drawing on a sample of 80 R&D teams from four universities in China. We concluded that knowledge communication, sharing, and integration play very important mediated roles in the knowledge creation process of the R&D team. Though researchers might have differing opinions on interdisciplinary research, they still tend toward communication and sharing their knowledge, experience, and viewpoints in the R&D process; this is an essential means for the achievement of knowledge integration. In order to achieve high innovation performance, management should pay attention to the process of knowledge communication, sharing, and integration.