Differentiation of innovation strategies based on pharmaceutical licensing agreements: Insight from Korean pharmaceutical firms

The paper aims to show how licensing behaviour can be used to differentiate distinct innovation strategies. Information on in-licensing and out-licensing agreements is used to guide the development of a framework that details the licensing firm’s relational preference for internal and external orientation. Using firm-level data of the Korean pharmaceutical firms, the study categorised the distinct strategic orientations of firms based on the proposed matrix model. The results indicated that firms with higher R&D (research and development) expenditures have a tendency to greater external exploitation of technological knowledge than firms with low R&D spending. The study provides potential avenues for targeting of licensing partners from the perspective of firms seeking to in-license or out-license their innovations.     

Does partner type matter in R&D collaboration for product innovation?

Most firms tend to utilise various types of R&D collaboration partners simultaneously and partnerships between different types of partners show different properties. Thus, the effect of R&D collaboration may vary depending on partner types. This study considers four partner types: competitors, customers, suppliers and universities. It empirically examines the effect of R&D collaboration with each type of partner on product innovation, employing the Korean Innovation Survey data. Results show that R&D collaborations with customers and universities have a positive effect on product innovation, whereas R&D collaborations with suppliers and competitors have an inverted-U shape relationship with product innovation. This result can provide an explanation to the chaotic results of previous research and assist managers in selecting appropriate R&D partner.     

An investigation over inbound open innovation in SMEs: insights from an Italian manufacturing sample

ABSTRACT

Building on the Open Innovation (OI) framework, the purpose of this paper is to examine the R&D inbound model of small and medium enterprises (SMEs). Specifically, we focus on the impact of different horizontal R&D collaborations on product innovation and innovation performance. Hypotheses are tested using a Probit/Tobit regression on an Italian sample of 2591 manufacturing SMEs. Our analysis shows that collaborating with different horizontal R&D partners brings to different innovation outcomes. In particular, R&D collaboration with universities has a positive impact on product innovation, but not on innovation performance. Whereas, R&D collaboration with research centres and other private companies has a positive impact on both product innovation and innovation performance. Our findings provide implications for SMEs managers and entrepreneurs who have to decide between R&D partners for their innovation strategy. Avenues for future research are discussed.     

R&D strategy and innovation performance: the role of standardization

Firms now increasingly recognise the important role of R&D strategy in building technological advantage. However, few attempts have linked standardisation with specific R&D strategies in explaining innovation performance. To bridge this gap, this study empirically examines the relationships between R&D strategies, standardisation, and firms’ innovation performance. Based on a sample of 371 firms in China, we use structural equation modelling (SEM) and find that novelty-oriented R&D strategy generates greater accumulation of standardisation knowledge and standards diversity, while R&D openness only positively relates to this standardisation knowledge accumulation. Moreover, standardisation knowledge accumulation is positively related to both administrative and technical innovation performance, while a greater variety of standards only leads to higher administrative innovativeness. More importantly, our results reveal that accumulation of standardisation knowledge mediates the relationships between R&D novelty and administrative and technical innovation performances. Both the theoretical and practical implications that arise from these findings are discussed.     

Role of human resource practices in absorptive capacity and R&D cooperation

This paper reconceptualises absorptive capacity as a strategic human resource construct and analyses its role in determining R&D cooperation and innovation in firms. In spite of widespread consensus on the role of absorptive capacity in innovation, the literature has so far concentrated only on traditional R&D and human capital based indicators of absorptive capacity. Furthermore, most firm-level studies investigating this relationship are cross-sectional in nature and there is need for longitudinal evidence. Employing the IAB Establishment Panel Survey on about 1200 private sector establishments in Germany during 2007–2011, we apply a structural model that links firms’ human resource practices, R&D collaboration strategies and finally their innovation outcome. Findings from the first stage of the empirical analysis suggest that adoption of employment practices positively affects horizontal, institutional and consulting-based R&D cooperation, while compensation programs positively affect only horizontal R&D cooperation. In the second stage, the effect of cooperative R&D conditioned upon human resource practices on innovation performance is examined. Results indicate that firms having institutional and consulting-based R&D cooperation relationships are more often associated with higher incremental product, process and new-to-market innovation, whereas the effect is relatively weaker in case of horizontal R&D cooperation.     

Knowledge investments, business R&D and innovativeness of countries: A qualitative meta-analytic comparison

The relationship between knowledge investments, innovation and competitiveness is an important topic in both academic research and economic policy and has been studied extensively over the past decades. Nowadays, investments in private and public R&D are believed to make up the heart of a modern knowledge economy. The present paper adopts an evolutionary economics perspective and investigates whether, in addition to private R&D activities, also institutional support systems and policy interventions play a role in inducing innovation initiatives and creating impacts on the performance and competitiveness of industries. We aim to find support for the hypothesis that the competitiveness of industries in the international arena is sustained by the dynamic interaction between national, regional and sectoral innovation systems. This may provide stakeholders with a better understanding of the context in which they operate. Since according to the evolutionary metaphor, the growth of an innovation system follows complex dynamics that cannot simply be analysed within a static quantitative equilibrium framework, we use here an alternative approach based on qualitative pattern recognition analysis originating from artificial intelligence analysis. Besides R&D expenditures, human capital expenditures are regarded as the major input in the knowledge creation process in our analytical framework. To this end, in our paper a qualitative causal model that maps out conditional relations between key factors in national innovation systems will be described. The focus of our investigation is on systematic patterns in the competitiveness of the EU Member States, using statistical information on innovation input and output data from the European Innovation Scoreboard. In our analysis we find support for the hypothesis that there are indeed significant interactions between distinct institutional levels, which may provide guidance to the strategic orientation of nations and the European Union in terms of the emphasis on competitiveness vis-à-vis cohesion.     

How does firm diversification impact innovation?

This study sheds light on the relationship between business diversification and innovation. A diversification strategy is both a driver of sunk costs and strategic slack. Strategic slack is a valuable reserve of knowledge, usable to foster innovation. Using linear models, we explore the interplay between research and development (R&D) and organisational slack in large and diversified companies listed on the Euronext 100 Index. We consider the diversification pattern over time, and its interactions with the following three categories: sunk costs, slack resources, and R&D. The results show an antithetic effect of diversification and slack on R&D expenditures. In contrast to unabsorbed and potential slack, diversification and sunk costs hinder innovation. However, diversification is a huge source of strategic slack and, thus, has a positive effect on innovation, indirectly.     

Origins of knowledge and innovation in R&D alliances: a contingency approach

Innovative performance is influenced both by the origins of the existing knowledge that is combined to generate innovation and by how economic actors search for new knowledge. Drawing on a sample of inter-firm dyadic R&D alliances, we found that whereas the integration of geographically distant knowledge and of organisationally proximate knowledge in R&D alliances are negatively related to the alliance innovative performance, search span positively moderates both relationships. We conclude that, in order to make the most of broad-span searching, firms participating in R&D alliances should integrate geographically distant but organisationally proximate knowledge. By doing so, firms take advantage of the diversity and novelty that characterises geographically distant knowledge, while preserving considerable levels of relative absorptive capacity that are needed for them to understand, internalise, and effectively use partners’ knowledge from different domains.     

组织学习与模块化嵌入的产学研合作联盟研究

知识经济时代,学习型组织模式构建对于推动产学研协同创新发展意义重大。首先,应用资源依赖理论解析了面向产学研合作联盟的组织学习内涵问题。其次,引入模块化理论探讨了合作联盟组织学习调节机制设计问题。在此基础上,采用多案例研究方法比较了我国家电产业的3个代表性合作联盟运行机制,并着重分析了合作联盟组织学习特征及问题。结果表明：①保持资源互依关系有利于联盟成员间开展知识交互和知识创新;②模块化不但有利于实现“背靠背”的合作创新,还可以作为合作联盟组织学习调节机制;③组织学习对联盟绩效具有积极影响,更是促进产学研合作联盟演化的重要推手。最后,针对我国产学研合作联盟存在的主要问题提出对策建议。     

供应链企业间战略共识如何影响技术创新绩效——知识共享与供应链协同的作用

在动态复杂的市场环境中,企业不仅要重视内部创新力量,同时需要依托外部力量,充分发挥外部知识资源在创新过程中的作用。基于认知行为理论,采用多元层次回归和Bootstrap方法,分析供应链企业间战略共识、知识共享和供应链协同对企业技术创新绩效的作用。结果发现：供应链企业间战略共识对知识共享和企业技术创新绩效具有促进作用;知识共享在供应链企业间战略共识与技术创新绩效间起中介作用;供应链协同正向调节供应链企业间战略共识与知识共享的关系,并正向调节知识共享的中介作用。     

R&D cooperation with scientific institutions: a difference-in-difference approach

Economists and business managers have long been interested in the impact of research and development (R&D) cooperation with scientific institutions on the innovation performance of firms. Recent research identifies a positive correlation between these two variables. This paper aims to contribute to the identification of the relationship between R&D cooperation with scientific institutions and the product and process innovation performance of firms by using a difference-in-difference approach. In doing so, we distinguish between two different types of scientific institutions: universities and governmental research institutes. For the econometric analyses, we use data from the German Community Innovation Survey. In total, data from up to 560 German service and manufacturing firms are available for the difference-in-difference analyses. The results suggest that R&D cooperation with universities and governmental research institutes has a positive effect on both product innovation and process innovation performance of firms.     

Measuring innovation in long product development cycle industries: an insight in biotechnology

This paper examines and measures innovation in the context of biotechnology firms by analysing the link between R&D, innovation performance and organisational growth. We conceptualise innovation performance as a latent construct with two dimensions: innovation efficacy and innovation efficiency. We use structural equations modelling to test the hypotheses on a data set from the biotechnology industry. Results support our innovation performance conceptualisation which is found to be especially useful to measure innovation in industries with long product development cycles. Findings also underline the importance of R&D knowledge creation for biotechnology firms.     

Environmental Policy with Endogenous Technology from a Game Theoretic Perspective: The Case of the US Pulp and Paper Industry

The merits of different types of regulatory tools in eliminating pollution and at the same time inducing innovation have long been an interest of researchers in both environmental economics and industrial organization. Although there is a substantial theoretical literature investigating the potential for various environmental policies to attain these dual goals, this is a challenging empirical problem because every industry has its own inherent characteristics that play an important role in determining the performance of different regulatory tools. The majority of the work to date focuses on pollution abatement while leaving pollution prevention understudied. In most of the literature firms are also assumed to be symmetric. Asymmetries among firms add another degree and level of complexity to their strategic interactions, and affect the performance of different regulatory tools. This paper investigates the performance of two alternative regulatory tools, an emissions performance standard and an emissions tax, in reducing pollution and inducing pollution prevention and abatement R&D in the US pulp and paper industry. We construct a model representing the industry in an asymmetric Cournot duopoly framework, calibrate the model to disaggregated industry data, and run scenarios to replicate the behavior of the firms in an imperfectly competitive output market. Our results suggest that pollution prevention R&D can respond quite differently than abatement R&D to different policy instruments. The results indicate that R&D spillovers among firms play crucial role in technology development and strategies of the firms. Our results also suggest that strategic interactions between firms in an imperfectly competitive industry can have significant impacts of the levels of both types of R&D.      

Beyond R&D activities: the determinants of firms’ absorptive capacity explaining the access to scientific institutes in low–medium-tech contexts

A firm's search strategy is to use innovation inputs from external sources such as suppliers, clients, competitors, universities and research transfer offices (RTOs) to complement their in-house knowledge. Thus, a firm needs to be capable of identifying and valuing the potential value of certain external knowledge, i.e. absorptive capacity. Most of the studies regarding search patterns are reduced mostly to medium–high- and high-tech industries in which only the level of investment in R&D activities as determinant of a firm's search strategy is considered. In addition, when the flows of external knowledge arise from firm–university interactions, the evidence is still inconclusive, specifically for SMEs and low–medium-tech environments. Therefore, the objective of this paper is to explore the pattern of a firm's search strategy through its absorptive capacity to acquire external flows of knowledge from universities and RTOs. The paper draws especially on the role of non-R&D innovation activities in low–medium-tech sectors. Seven hundred and forty three innovative firms from the Spanish Ministry of Industry are analysed. Results suggest that human resources and other non-R&D activities are the core drivers explaining the cooperation agreements to access external knowledge from universities and RTOs. Surprisingly, R&D expenditures do not contribute to the explanation. This paper presents important implications for policy-makers beyond the classic R&D policies.     

跨界双元搜索对双元创新绩效的影响——知识合作链与战略柔性整合视角

跨界搜索能够完善企业知识储备，驱动企业创新发展。基于开放式创新理论、知识管理理论及动态能力理论，将知识合作链与战略柔性纳入跨界合作研究框架，构建并实证检验一个被调节的中介效应模型。结果表明：技术知识搜索对突破式创新绩效具有显著正向影响，市场知识搜索对渐进式创新绩效具有显著正向影响；企业跨界双元搜索显著正向影响知识合作链；知识融合、知识转化在跨界双元搜索与双元创新绩效之间具有显著链式中介作用；战略柔性正向调节双元搜索与知识合作链之间的关系。结论揭示了跨界双元搜索对双元创新绩效的作用机理，能够为企业突破跨界合作困境，促进知识交流，提高创新绩效提供理论指导。     

Knowledge spillovers and R&D subsidies to new,emerging technologies

Is knowledge spillover a rationale for supporting R&D on new, emerging technologies more than R&D on other technologies? In this paper, I analyze whether innovation externalities caused only by knowledge spillovers differ between technologies of different maturity. I show that R&D should not be subsidized equally across industries when the knowledge stocks differ. This is because knowledge spillovers depend on the size of the knowledge stock and the elasticity of scale in R&D production. R&D in the emerging technology should be subsidized more when the elasticity is smaller than one. However, R&D in the mature technology should be subsidized more when the elasticity is larger than one.     

Not just financial support? Another role of public subsidy in university–industry research collaborations

Management of university–industry research collaboration (hereafter UIC) is the key to its success. In this respect, government can play an essential role in UIC. A public subsidy for research and development (hereafter R&D) is not only an important financial support for UIC but may also serve as a useful means of promoting trust among UIC members, resulting in higher innovation performance. However, few empirical studies have investigated the role a public R&D subsidy plays in promoting trust in UIC. To this end, by using original survey data, this study examines empirically whether a public R&D subsidy for UIC contributes to trust formation and, thus, to higher innovation performance based on trust. Our findings suggest that a public R&D subsidy promotes trust formation, which then increases the innovation performance of UIC participants, partially mediating the more direct effects of R&D subsidy on innovation performance.     

产学研融合程度对科技型中小企业创新绩效的影响

构建产学研深度融合的技术创新体系，是我国为应对当前复杂多变的国际环境、满足新时代高质量发展要求的重要战略。基于产学研融合内涵，构建微观层面企业产学研融合程度综合评价模型，实证检验产学研融合程度对科技型中小企业创新绩效的影响以及环境不确定性的调节作用。结果表明，我国科技型中小企业产学研融合广度、深度和频度总体均呈波动上升趋势，正逐步迈向深度融合阶段；产学研融合广度和深度对科技型中小企业创新绩效具有正向影响，产学研融合频度对科技型中小企业创新绩效具有负向影响；环境不确定性会增强产学研融合广度对科技型中小企业创新绩效的正向影响，削弱产学研融合深度对科技型中小企业创新绩效的正向影响，增强产学研融合频度对科技型中小企业创新绩效的负向影响。结论可拓展产学研合作相关研究，发展产学研融合理论，为解决我国科技型中小企业产学研融合效率偏低、机制不佳等问题提供实践指导。     

Explanatory factors for participation in formal standardisation processes: Empirical evidence at firm level

In contrast to the long tradition of empirical research into the innovation activities and R&D collaboration of companies, the issue of standardisation has been analysed mostly in theoretical approaches. This paper presents an empirical analysis of the participation of German companies in formal standards development organisations. It becomes clear that company size has a significant positive effect on the probability of a participation in standardisation. We focus further on two aspects, on R&D as input and export intensity as performance indicator, in order to explain the likelihood to join formal standardisation processes. Both the R&D intensity and the export activities exhibit an inverse U relationship. Obviously, even participating in standardisation processes requires a certain absorptive capacity, but R&D and export intensive companies expect more disadvantages, like unintended knowledge spill-overs, from joining formal standardisation processes and, therefore, stay away. In addition, export activities increase the likelihood to join formal standardisation processes up to a certain level, although companies with very high export shares expect less benefit from joining formal standardisation processes. Finally, some policy conclusions are derived.     

Types of cooperation partners as determinants of innovation failures

In this paper we analyse if specific R&D cooperation partners are related to an increase in the probability of innovation failures in terms discontinuing innovation projects. We distinguish between seven different R&D cooperation partner types, and we discriminate between product innovation failures and process innovation failures. Using German Community Innovation Survey data we find that, firstly, each type of R&D cooperation partner has a different effect on innovation failures. Secondly, we show that product innovation failures and process innovation failures are not affected in equal measure by the same type of R&D cooperation partner. Our results suggest that while R&D cooperation with public research institutes is significantly and negatively related to the probability to cancel a process innovation project, the coefficient is positive but insignificant for product innovation failures. Firms conducting partnerships with suppliers, however, run the risk of both product and process innovation failures. In turn, cooperation with competitors is positively correlated only to process innovation failures.