Coping with rivals’ absorptive capacity in innovation activities

Two factors jointly determine the likelihood of a firm′s competitors obtaining information on its intangible assets and using it to damage the firm′s innovation performance. Those factors are the absorptive capacity of the rival firm and the appropriability regime of the innovating firm. However, the precise roles of the two factors in affecting performance outcomes are not well documented. Furthermore, we lack knowledge of the interplay between an appropriability regime and absorptive capacity, although they clearly have the capacity to exert positive and negative effects both on each other and on innovativeness. This study presents findings derived from theoretical discussion and an empirical examination of 155 firms that suggest that while competitors’ absorptive capacity does not play a direct negative or positive role on the innovation performance of a firm, an appropriability regime exerts a strong positive influence. Nevertheless, high rival absorptive capacity is not without importance, since the significant interaction effects suggest that a strong appropriability regime has positive effects on innovation performance especially in the context of a rival having high absorptive capacity.     

Size and value effects in high-tech industries: The role of R&D investment

We use monthly US stock data over 55 years from 1962 to 2017 to show that the R&D intensity at firms adds another important dimension to the size and value effects in describing stock returns, especially for small high-tech firms. A trading strategy that double sorts on R&D intensity and size or book-to-market ratio outperforms a simple small-minus-big (SMB) or high-minus-low (HML) strategy in producing higher and more significant portfolio returns. The most profitable schemes involve triple sorts by size, BM, and R&D intensity: the payoffs of buying high-BM/R&D-Active portfolio and selling low-BM/R&D-Inactive portfolio in the small-size/high-tech group and that of buying high-tech/high-BM and selling low-tech/low-BM in the small-size/R&D-active group generate a return of more than 2% on a monthly basis. Our results are robust to alternative classification method of assigning stocks in portfolios.     

Competitive strategy for open and user innovation

I study the incentives to open technologies in imperfectly competitive markets with user innovation. Firms may choose to open part of their knowledge or private information so that it becomes freely accessible to users. Openness decisions are governed by a trade‐off between collaboration and appropriability: by becoming more open, a firm encourages user innovation but hampers its ability to capture value. I find that large firms are less open and invest more in product development than small firms, and that firms react to greater openness from rivals by becoming more open. I also show that compatibility and spillovers have a negative effect on openness, and that firms become more open as the number of competitors increases.     

In search of alliance-level relational capabilities: Balancing innovation value creation and appropriability in R&D alliances

In order to advance our knowledge of alliance-level relational capabilities, this paper investigates how searching across different knowledge domains affects both innovation value creation and appropriability in R&D alliances. Focusing on the alliance level of analysis, we advance that, in R&D strategic alliances, search span has a curvilinear (inverted U-shape) relationship with value creation and a positive relationship with value appropriability. Our analysis on a sample of 1515 interfirm dyadic R&D alliances confirms these hypotheses. We find that, after a threshold level of search span, joint value creation decreases. Conversely, the allied firms’ ability to appropriate the value of their jointly developed inventions grows exponentially as the alliance search span increases. Thus, value creation and appropriability may have conflicting exigencies. We argue that firms involved in R&D strategic alliances should develop the interorganizational relational capability to jointly manage the process of search that occurs at the interorganizational level, and specifically the span of their search, in ways that balance the needs of value creation and appropriability.     

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.     

Corporate R&D and firm efficiency: evidence from Europe’s top R&D investors

The main objective of this study is to investigate the impact of corporate research and development (R&D) activities on firm performance, measured by labour productivity. To this end, the stochastic frontier technique is used on a unique unbalanced longitudinal dataset comprising top European R&D investors over the period 2000–2005. In this framework, this study quantifies technical inefficiency of individual firms. From a policy perspective, the results of this study suggest that if the aim is to leverage firms’ productivity, the emphasis should be put on supporting corporate R&D in high-tech sectors and, to some extent, in medium-tech sectors. On the other hand, corporate R&D in the low-tech sector is found to have a minor effect in explaining productivity. Instead, encouraging investment in fixed assets appears important for the productivity of low-tech industries. Hence, the allocation of support for corporate R&D seems to be as important as its overall increase and an ‘erga omnes’ approach across all sectors appears inappropriate. However, with regard to technical efficiency, R&D intensity is found to be a pivotal factor in explaining firm efficiency and this turns out to be true for all industries.     

Disentangling the Role of Management Control Systems for Product and Process Innovation in Different Contexts

ABSTRACT

This paper studies the relationship between the use of management control systems and different types of innovation (product and process), taking into account innovation contexts (high-tech versus low-tech sectors). We develop and test our hypotheses based on a large sample of Spanish manufacturing firms and find that input controls have a positive association only with process innovation in both innovation contexts. Behavior controls have similar effects on both types of innovation outcomes for high-tech firms, while they have stronger positive associations with process than with product innovation for low-tech firms. Output controls are equally relevant for product and process innovation in both contexts.     

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.     

Self-organization of R&D search in complex technology spaces

We extend an earlier model of innovation dynamics based on percolation by adding endogenous R&D search by economically motivated firms. The {0, 1} seeding of the technology lattice is now replaced by draws from a lognormal distribution for technology ‘difficulty’. Firms are rewarded for successful innovations by increases in their R&D budget. We compare two regimes. In the first, firms are fixed in a region of technology space. In the second, they can change their location by myopically comparing progress in their local neighborhoods and probabilistically moving to the region with the highest recent progress. We call this the moving or self-organizational regime (SO). The SO regime always outperforms the fixed one, but its performance is a complex function of the ‘rationality’ of firm search (in terms of search radius and speed of movement). The clustering of firms in the SO regime grows rapidly and then fluctuates in a complex way around a high value that increases with the search radius. We also investigate the size distributions of the innovations generated in each regime. In the fixed one, the distribution is approximately lognormal and certainly not fat tailed. In the SO regime, the distributions are radically different. They are much more highly right skewed and show scaling over at least 2 decades with a slope around one, for a wide range of parameter settings. Thus we argue that firm self-organization leads to self-organized criticality. The online version of the original article can be found under doi:.     

Knowledge spillovers in US patents: A dynamic patent intensity model with secret common innovation factors

During the past two decades, innovations protected by patents have played a key role in business strategies. This fact enhanced studies of the determinants of patents and the impact of patents on innovation and competitive advantage. Sustaining competitive advantages is as important as creating them. Patents help sustaining competitive advantages by increasing the production cost of competitors, by signaling a better quality of products and by serving as barriers to entry. If patents are rewards for innovation, more R&D should be reflected in more patent applications but this is not the end of the story. There is empirical evidence showing that patents through time are becoming easier to get and more valuable to the firm due to increasing damage awards from infringers. These facts question the constant and static nature of the relationship between R&D and patents. Furthermore, innovation creates important knowledge spillovers due to its imperfect appropriability. Our paper investigates these dynamic effects using US patent data from 1979 to 2000 with alternative model specifications for patent counts. We introduce a general dynamic count panel data model with dynamic observable and unobservable spillovers, which encompasses previous models, is able to control for the endogeneity of R&D and therefore can be consistently estimated by maximum likelihood. Apart from allowing for firm specific fixed and random effects, we introduce a common unobserved component, or secret stock of knowledge, that affects differently the propensity to patent of each firm across sectors due to their different absorptive capacity.     

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.     

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.     

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.     

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.     

Emergence of innovation networks from R&D cooperation with endogenous absorptive capacity

This paper extends the existing literature on strategic R&D alliances by presenting a model of innovation networks with endogenous absorptive capacity. The networks emerge as a result of dynamic cooperation between firms occupying different locations in the knowledge space. Partner selection is driven by absorptive capacity which is itself influenced by cognitive distance and R&D investment allocation. Under different knowledge regimes, we examine the structure of networks that emerge and how firms perform within such networks. We find networks that exhibit small world properties which are generally robust to changes in the knowledge regime. Certain network strategies such as occupying brokerage positions or maximising accessibility to potential partners pay off, especially in ‘young’ industries with limited involuntary but abundant voluntary spillovers. This particular result is driven by endogenous absorptive capacity.     

Efficiency evaluation of China's high-tech industry with a multi-activity network data envelopment analysis approach

This paper employs a Russell multi-activity network DEA model and divides the overall innovation process into the upstream Research and Development (R&D) process and the downstream commercialization process to appraise the innovation performance of China's high-tech industries from 2009 to 2013. This model can deal with the problems of intermediates, shared inputs and slack-based measure in a unified framework, and the result can provide policy makers with process-specific information on how to improve the innovation performance of China's high-tech industries. The main findings are presented as follows. First, the overall efficiency of China's high-tech industries still remains at a low level, which has its roots mainly in commercialization inefficiencies other than R&D inefficiencies. Second, for most provinces, their R&D efficiencies do not match up with their commercialization efficiencies. Finally, the innovative activities of China's high-tech industries should be driven by the market demand -oriented for the improvement of innovation efficiency.     

Job mobility restriction mechanisms and appropriability in organizations: The mediating role of secrecy and lead time

This paper addresses the following question: does mobility restriction enhance the appropriability of R&D investments? And if so, how does this occur? We propose that mobility restriction mechanisms affect appropriability through their impact on secrecy and lead time. We test mediation hypotheses in a sample of biotechnology firms and discuss the implications for intellectual property protection strategies and human resource management.     

Business Models for Frugal Innovation in Emerging Markets: The Case of the Medical Device and Laboratory Equipment Industry

This study investigates business models for frugal innovation (i.e. a specific form of resource-constrained innovation) in the medical device and laboratory equipment industry in the context of emerging markets. Based on original data from five case studies, we investigate how firms can set up value creation and value capturing mechanisms to reach new customer segments in remote rural areas with unprecedented value propositions. With this research, we contribute to the literature on frugal innovation and business models in emerging markets. It is among the first empirical studies to apply a fine-grained perspective on resource-constrained innovation in emerging markets. In doing so, we focus on its most disruptive form, which is when these innovations entail entirely new applications. We advance and detail the value proposition for frugal innovation in these industries and argue that frugal innovation create new markets. Further, we show how firms set up their value creation and value capturing mechanisms to achieve the value proposition and identify two distinct Research & Development (R&D) strategies for frugal innovation.     

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.

     

What's in it for me? Creating and appropriating value in innovation-related coopetition

There has been a substantial increase in collaboration with external stakeholders in R&D and innovation activities in modern economies. In particular, collaborating with competitors (coopetition) has been found to be an effective way of creating both incremental and radical innovations, especially in high-tech industries. However, coopetition also includes some major risks and disadvantages, which makes it undesirable in certain cases. The focus in this study is on the factors that distinguish coopetition from collaboration. We propose that the ability of a firm to reap benefits in innovation-related coopetition is contingent on factors that enable collective value creation, and on those that facilitate the individual isolation of the innovations and any subsequent profits. Further, we suggest that the effectiveness of these factors depends on the novelty of the innovation with respect to current markets and technology. In explicitly analyzing such issues we aim to expand current understanding of how firms can create and appropriate value in collaborative R&D and innovation with competitors as specific partners.