Mining external R&D

Open Innovation presses the case for timely and thorough intelligence concerning research and development activities conducted outside one’s organization. To take advantage of this wealth of R&D, one needs to establish a systematic “tech mining” process. We propose a 5-stage framework that extends literature review into research profiling and pattern recognition to answer posed technology management questions. Ultimately one can even discover new knowledge by screening research databases.Once one determines the value in mining external R&D, tough issues remain to be overcome. Technology management has developed a culture that relies more on intuition than on evidence. Changing that culture and implementing effective technical intelligence capabilities is worth the effort. P&G's reported gains in innovation call attention to the huge payoff potential.     

基于粗糙集理论的投标风险因素分析

文章论述了粗糙集理论在投标报价时的风险因素,根据粗糙依赖度的计算确定了风险因素的权重,为客观准确地确定风险因素的重要性提供了一种有效的算法。     

Modes of innovation,resources and their influence on product innovation: Empirical evidence from R&D active firms in Norway

Evolutionary theory of the firm argues that firms follow different approaches to innovation with implications for their performance. Consistent with evolutionary theory, this paper develops a taxonomy of innovation modes which capture the variation in firms' approaches to product innovation. The taxonomy is based on the open/closed innovation and exploration/exploitation literatures and identifies the following modes: “Open exploration”, “closed exploration” “open exploitation”, and “closed exploitation”. The paper theorizes that the identified innovation modes influence product innovation through their effect on the firms' technological and market resources. Using survey data from over 1000 R&D active firms in Norway analyzed with structural equation modelling it is shown how four modes of innovation are related to actual product innovation.     

On the R&D/marketing interface in knowledge intensive entrepreneurial firms

In this paper we focus on the performance impact associated with whether R&D or marketing takes the lead in product innovations and/or product development. We examine empirically the performance of a sample of entrepreneurial firms across 10 European Union countries for which we can identify alternative regimes in which R&D, or in which marketing, is viewed as being relatively more important in creating and sustaining the firm’s competitive advantage. We find that when R&D is the dominant strategy, firms realize greater growth in sales, other factors held constant.     

Creating technology candidates for disruptive innovation: Generally applicable R&D strategies

In this paper, we first examined the importance of technology creation in technological disruptive innovations (DIs), and found both academic scholars and industrial practitioners have underestimated the challenging nature and importance of technology at least in technological DI. We then moved upstream to study empirically how technology candidates could be created purposefully for potential technological DI. Four generally applicable R&D strategies were abstracted from intensive studies on 37 technological DIs, by applying the central thoughts of principal component analysis which transforms many correlated variables into a small number of uncorrelated ones. The four R&D strategies abstracted are miniaturization, simplification, augmentation and exploitation for another application. Their creation of DI was examined, postulated and then demonstrated by means of the Delphi method. The frequencies of their utilization were also compiled and the implications discussed. This study has further advanced the knowledge at the front-end of R&D, i.e. the technology perspective of DI. It hopes to facilitate more purposeful creation of technology candidates for potential technological DI in future.     

R&D and regional competitiveness: a study of global entrepreneurial firms

We quantify, using data from the World Bank’s Enterprise Surveys and the World Economic Forum’s Global Competitiveness Index, the empirical relationship between global competitiveness and R&D investment activity as well as the independent relationship between global competitiveness and R&D investments across geographic regions of economic development. We also explore alternative measures of the effectiveness of R&D investments. Our findings suggest that R&D investments are a possible policy target variable in high-income regions for policy makers to consider for increasing firms’ global competitiveness.

     

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.     

Real options game models of R&D competition between asymmetric firms with spillovers

Using real options game models, we consider the characterization of strategic equilibria associated with an asymmetric Research and Development (R&D) race between an incumbent firm and an entrant firm in the development of a new innovative product under market and technological uncertainties. The random arrival time of the discovery of the patent protected innovative product is modeled as a Poisson process. Input spillovers on the R&D effort are modeled by the change in the leader’s hazard rate of success of innovation upon the follower’s entry into the R&D race. Asymmetry between the two competing firms include sunk costs of investment, stochastic revenue flow rates generated from the product, and hazard rates of arrival of success of R&D efforts of the two firms. Under asymmetric duopoly, we obtain the complete characterization of the three types of Markov perfect equilibria (sequential leader–follower, preemption and simultaneous entry) of the firms’ optimal R&D entry decisions with respect to various sets of model parameters. Our model shows that under positive input spillover, preemptive equilibrium does not occur in the R&D race due to the presence of dominant second mover advantage. The two firms choose optimally to enter simultaneously if the sunk cost asymmetry is relatively small; otherwise, sequential equilibrium would occur. When the initial hazard rate is low relative to the level of input spillover, simultaneous entry would occur as an optimal decision, signifying another scenario of dominant second mover advantage. On the other hand, when the initial hazard rate is sufficiently high so that the first mover advantage becomes more significant, simultaneous equilibrium does not occur even under high level of positive input spillover.     

The effects of slack resource of R&D professionals on firm performance: evidence from traditional manufacturing firms in an emerging economy

Abstract

As an important component of organizational human resource slack (HR slack), the slack of research-and-development (R&D) professionals has been studied by several authors. However, it remains unclear whether and how this small component of general HR slack, i.e. the slack of research-and-development professionals (RHR slack), may affect overall firm performance in an emerging economy without much R&D tradition or pro-R&D institutions. Based on two organizational theories, i.e. institutional theory and the resource-based view of the firm (RBV), we propose competing hypotheses on the relationship between RHR slack and firms’ accounting performance. We also examine whether the relationship between RHR slack and firm performance should be linear or curvilinear. Finally, we also test the relationship between RHR slack and other dimensions of firm performance. Several interesting findings have been obtained. For instance, neither the perspective based on institutional theory nor that based on RBV can fully predict all types of RHR slack-performance relationships, be these relationships linear or curvilinear.     

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.

     

The moderating effect of environmental uncertainty on the relationship between real options and technological innovation in high-tech firms

In the past decade, management scholars have applied aspects of real options theory to organizational settings, considering it an approach to enhancing strategic flexibility in the firm. They have also recognized that technological innovation is a critical mechanism through which high-tech firms try to secure a place in the competitive world of the future. Uncertainty about the environment makes it very important to analyze both factors, since the use of real options obligates managers to reflect constantly on future scenarios for which they will have to propose innovative solutions. This paper attempts to apply the theory of real options to innovation theory to propose a model in which real options reasoning improves the level of product/process technological innovation. We argue that this improvement will increase when the environment's level of uncertainty is higher. The proposal is supported empirically by a study performed on a sample of technology firms from different countries in the European Union.     

On the robustness of R&D

Alternative models of productivity predict a range of its determinants besides that of research and development (R&D). We investigate the robustness of R&D vis-à-vis a dozen productivity determinants in a panel of 16 Organisation for Economic Co-operation and Development countries through panel cointegration, bootstrap simulations and extensive sensitivity tests. Domestic knowledge stocks, international knowledge diffusion and human capital remain robust across all measures. The cross-country differences in accumulated knowledge stocks and human capital appear to explain productivity differences across countries.     

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.     

创新企业如何获利——基于模块化的分析

创新企业通过规模经济、范围经济以及技术垄断等传统途径来获利变得越来越困难,在技术变革剧烈、需求多样化的时代,模块化设计因其具有的专业化协作的优势不断提升企业的创新能力,不断适应环境来获得高额回报。     

An approach to the R&D value based upon real option method

This paper aims to build up feasible models based upon the real option method (ROM) to assess R&D. In this paper we built eight models integrating with three conditions to assimilate the real situation an R&D project may encounter. We utilized both numerical and statistical illustration based upon an empirical case to exhibit the correctness of our models. We diverged our discussion into either expense or capital viewpoint to react with current accounting debate. The results shed us the light: our models in both expense and capital viewpoint can correctly asses R&D; the selected conditions play essential roles to influence the correctness of our models.     

The impact of cluster connectedness on firm innovation: R&D effort and outcomes in the textile industry

Recent research into the clustering effect on firms has moved away from a simplistic view to a more complex approach. More realistic and complex causal relationships are now considered when analysing these territorial networks. Specifically, this paper attempts to analyse how cluster connectedness moderates the relationship of a firm's innovation effort and the results obtained from this effort. We want to question the commonly accepted direct and positive impact of R&D effort, and moreover, we suggest the existence of a saturation effect and that the level of cluster's inter-connectedness in the cluster moderates this effect. We have developed our empirical study focusing on the Spanish textile industrial cluster. This is a complex manufacturing industry that uses relatively low-technology manufacturing and R&D. Our findings suggest that the degree to which a firm is involved with, or connected to, other firms in the cluster can moderate the effect of the R&D effort on its innovation results. More generally, we aim to contribute to the discussion on the degree to which firms should be involved in the cluster network in order to operate efficiently and gain the maximum competitive advantages. Our findings have implications both in recent cluster and network literature as well for institutional policy.     

Optimal R&D investment for a risk-averse entrepreneur

Entrepreneurs investing in R&D projects face technical uncertainty associated with the cost to completion of the project, which is idiosyncratic and inherently unhedgeable. We extend existing real options models of R&D investment to incorporate the cost of bearing this unhedgeable risk and find it decreases risk-averse entrepreneurs’ valuations of R&D projects and increases the minimum NPVs required for continued investment in R&D (threshold NPVs) relative to ‘unpriced risk’ values and threshold NPVs. As in the ‘unpriced risk’ case, for less risk-averse entrepreneurs with small R&D projects, threshold NPVs remain negative and decrease with technical uncertainty. However, for sufficiently risk-averse entrepreneurs with sufficiently large R&D projects, threshold NPVs can become positive and increase with technical uncertainty.     

Interactive R&D spillovers: An estimation strategy based on forecasting-driven model selection

This paper proposes an estimation strategy that exploits recent non-parametric panel data methods that allow for a multifactor error structure and extends a recently proposed data-driven model-selection procedure, which has its roots in cross validation and aims to test whether two competing approximate models are equivalent in terms of their expected true error. We extend this procedure to a large panel data framework by using moving block bootstrap resampling techniques in order to preserve cross-sectional dependence in the bootstrapped samples. Such an estimation strategy is illustrated by revisiting an analysis of international technology diffusion. Model selection procedures clearly conclude in the superiority of a fully non-parametric (non-additive) specification over parametric and even semi-parametric (additive) specifications. This work also refines previous results by showing threshold effects, non-linearities, and interactions that are obscured in parametric specifications and which have relevant implications for policy.     

Leadership and innovation: relations between leadership,individual characteristics and the functioning of R&D teams

The main focus of this paper is the functioning of R&D teams, the role of the team leader and the characteristics of individual team members. After a brief overview of recent literature on leadership and innovation, some research results are presented from a study of leadership in self-managing teams; these teams have a number of characteristics in common with R&D teams, such as dependent tasks and job autonomy. The results lead to an integrated model for the effective functioning of R&D teams, with a focus on the relations between leadership behaviour, individual characteristics, team functioning and outcome variables.     

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

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