A performance-oriented risk management framework for innovative R&D projects

Uncertainty is one of the major inherent difficulties in developing innovative products, due to their highly dynamic markets and technologies. The presence of a large degree of uncertainty leads to high R&D risks, resulting in many R&D failures. Therefore, it is important to manage R&D risks through all R&D stages to improve R&D project success rates. This paper proposes a new risk management framework that aligns project risk management with corporate strategy and a performance measurement system to increase success rates of R&D projects and to accomplish corporate strategic goals. The balanced scorecard is used to identify major performance measures of an R&D organization based on the firm vision and strategy. Quality function deployment is adapted to transform organizational performance measures into project performance measures and a systematic procedure is developed for risk identification, assessment, response planning, and control. The proposed risk management framework enables an R&D project to be focused on achieving the corporate goals and provides a more effective way to identify, assess, analyze, and monitor R&D risks along the project cycle. The proposed methodology is illustrated with a drug development project.     

内部控制、研发强度与管理短视——基于中国上市公司的经验证据

研发投入具有长期性和不确定性等特征,企业的研发行为会降低当期会计盈余。在研究内部控制质量对企业研发强度影响的基础上,深入分析内部控制作用于企业研发活动的两个路径——抑制管理机会主义风险和抑制研发项目运营风险,结果表明：企业内部控制质量与研发投入强度正相关,内部控制能够显著降低企业的管理机会主义风险和研发项目运营风险,最终有利于提高企业的研发强度,这不仅揭示了内部控制在研发投入方面发挥作用的内在机制,也为我国上市公司的内部控制及研发活动提供了新的经验证据。     

研发投入、内部控制与财务风险相关性研究

由于研发创新能为企业带来可观的投资回报,因此有更多的企业注重提高自身的研发创新水平。近几年,我国整体研发规模在不断扩大,但企业关于研发投入的财务风险管理方面还存在不足之处。本文选取2016-2020年国内A股上市企业为研究对象,对研发投入、内部控制与财务风险的相关性进行实证分析。研究结果显示:内部控制质量与财务风险负相关;研发投入与财务风险正相关;并提出相应对策,以期通过这一研究,对我国上市企业把控研发投入力度,提升内部控制质量,降低财务风险发生概率提供理论与实践的参考和借鉴。     

Budgeting for research and development: a dynamic financial simulation approach

The research and development (R&D) budgeting decision is crucial for at least two reasons: if too much is spent, short-term financial stability is at risk, while, if the budget is too small, long-term competitiveness is threatened. Nevertheless, many enterprises simply extrapolate the past without further reflection.This paper presents a computer-based dynamic stochastic simulation model that allows one to assess the impact of alternative R&D budgeting policies on corporate development. The core decisions to be evaluated concern timing and funding of investments in R&D. Our approach substantially expands earlier work by Brockhoff (R&D Manage. 19 (1989) 265). In particular, it distinguishes between product and process innovation, considers market dynamics related to technical progress via a modifiable S-curve, integrates marketing, and takes into account essential financial aspects. As a result, our model is closer to reality than previous ones. A sample application with real company data illustrates its potential usage.     

Value and risk dynamics over the innovation cycle

This paper studies investment in intellectual capital and corresponding value and risk dynamics over the innovation cycle. We assume that the innovation cycle consists of three phases, R&D, trial, and market introduction phases. We use a real option investment model to characterize firm value and risk dynamics over the innovation cycle and find that firm value is the sum of the value of assets in place and non-linear option values related to breakthrough, exit, and market introduction options. Firm risk over the innovation cycle is highly non-linear and quite distinct in different phases. During the R&D phase risk is high as the firm faces high operating leverage originating from R&D fixed costs together with technological uncertainty. During the trial phase risk is significantly lower and dominated by option risk to launch the product in the market while after the introduction of the product in the market risk is equivalent to the asset risk of the company. Our model is consistent with the view that positive excess returns of R&D intensive firms are a compensation for risk. Based on this insight we derive several testable predictions.     

The Incentives for Innovative Activity in the Managerial Firm

This paper discusses the incentives for innovation by a manager‐led firm. In particular, it is investigated how remuneration practices influence the choice of a risky project. In the first place, a dynamic model with uncertainty is used to determine the optimal employment level with exogenous growth and risk. In the second part of the paper, growth and risk are explained by R&D expenditures. Optimal investment expenditures for R&D are derived for (i) the profit‐maximizing firm and (ii) the managerial firm, where the manager receives a fixed salary as well as a variable share of profits. If risk neutrality is assumed, then no difference exists. However, if risk aversion is considered, the managerial firm will invest more into R&D than the owner‐led company. Size‐related salaries are an additional reason for higher expenditures of R&D by managers. Copyright © 2013 John Wiley & Sons, Ltd.     

中国行业层面研究与试验发展资本存量核算

研究目标：测算中国八大行业门类研究与试验发展（Research and Development,R&D）资本存量。研究方法：基于SNA2008的GDP核算框架,厘清R&D支出的资本化核算框架;再利用美国BEA方法测算R&D资本存量。研究发现：1990~2015年,中国R&D资本存量不到美国R&D资本存量的1/4;然而,自1994年后,中国R&D资本存量年均增长率达24.79%,而美国仅为4.86%,中美两国R&D资本存量差距呈逐渐缩小趋势;制造业R&D资本存量占全国R&D资本存量的比例呈上升趋势,从1990年的17.41%增长到2015年的68.08%,这与中国加快制造业转型升级的事实相符。研究创新：给出完整的R&D支出资本化核算过程,首次测算中国八大行业门类的R&D资本存量。研究价值：为分析技术进步对经济增长的影响提供了行业层面R&D投资和资本存量数据序列。     

Endogenous spillovers in a non-tournament R&D duopoly under uncertainty

Including R&D risk, this paper considers the choices of R&D spillovers in a simple non-tournament cost-reducing R&D duopoly game with Bertrand competition. It turns out that the two firms never disclose any of their R&D information when considering their R&D non-cooperatively. However, if the firms decide their R&D cooperatively, we show, though they would always fully share their information when the risk of R&D is low, they would not disclose any of their R&D information when the market competition is fierce, the R&D risk is high and the R&D is efficient.     

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.     

Industry influence on firms' R&D and innovation

This paper examines the effect of peers on a firm's research and development (R&D) policy. We show that firms do not make R&D decisions in isolation, and that industry dynamics play an important role in defining a firm's R&D intensity. Using a large sample of 54,393 firm-year observations from 1991 to 2015 in the United States, we find that firms' R&D decisions are mainly driven by their industry peers' R&D policies. Moreover, we find that R&D mimicking is significant only in the presence of strong product market competition, whereas we do not find any evidence of information-based herding in R&D investments. Our additional analysis shows that our main conclusions remain valid even in the presence of financial constraints, and regardless of the firms' market positions. Finally, we provide evidence that R&D mimicking increases firms' future values, future patent outputs, and estimated patent dollar values. Our findings are robust to endogeneity concerns, and to using alternative sample compositions, R&D intensity proxies, and different industry classifications.     

Channels of R&D spillovers: An empirical investigation of Swiss firms

Research and development (R&D) spillovers are, potentially, a major source of endogenous growth in various recent ‘new growth theory’ models. According to these models, firms engage in R&D in order to seek rents. Public aspects of this R&D then spill over to other firms, thereby creating increasing returns relating to scale and long-term growth. The actual mechanisms by which spillovers occur has, however, not been systematically studied. In order to provide empirical facts on this issue the paper investigates the effectiveness of various channels of R&D spillovers. The analysis is based on a survey conducted among 358 Swiss R&D executives representing 127 different lines of business, mainly in the manufacturing sector. The results can be summarized as follows. First, undertaking independent R&D was perceived by the R&D executives questioned as the most effective channel of R&D spillovers at the intra-industry level. This was followed by reverse engineering for product innovations and the utilization of publications and information from technical meetings for process innovations. Second, learning methods that rely on interpersonal communication were judged as moderately effective in the following order of importance: (i) publications and technical meetings; (ii) conversations with employees from innovating firms; and (iii) hiring away employees from innovating firms. The last method, especially, is not valued as effective in the Swiss context. Third, learning methods related to the patent system—licensing technology and patent disclosures in the patent office—were seen as moderately effective or not effective at all. Fourth, the effectiveness of the various channels of R&D spillovers varies from one industry to another. Fifth, the various channels of R&D spillovers can be reduced to subgroups, so that patterns of learning of competitive technology can be established.     

研发投资、舞弊风险与审计费用

以2007—2018年中国A股市场研发投资额大于零的非金融类上市公司为研究对象,实证研究研发投资强度对财务舞弊风险和审计费用的影响以及CPA审计治理效果。研究结果表明：研发投资强度与财务舞弊风险和审计费用均正相关,并且财务舞弊风险在研发投资强度对审计费用的影响中存在部分中介效应。使用工具变量法进行内生性分析发现,研发投资强度在前三种度量方式（研发投入额÷总资产、研发投入额÷净资产、研发投入额÷公司员工数）下具有很强的外生性,而在第四种度量方式（研发投入额÷营业收入）下是内生的。对审计治理效果进行分析发现,虽然高审计收费保证了CPA较高的执业努力程度,但与审计合谋正相关的异常审计费用的存在使得CPA审计治理效果并不佳,并且对研发投资强度大的客户、财务舞弊风险高的客户和高新技术企业收取更高的异常审计费用通常与更高的审计合谋倾向有关。     

股权激励如何驱动企业研发支出？——基于股权激励异质性的视角

股权激励被视为解决研发支出中代理冲突的重要工具,但现有经验证据并不稳定甚至相互矛盾。基于股权激励异质性的视角,本文引入新的股权激励特征——股权激励价值的股价及股价波动率敏感性,考察股权激励对企业研发支出的驱动机制,并利用2006-2012年我国实施股权激励的上市公司作为样本进行检验。研究发现:股权激励对企业研发支出的驱动机制包含风险规避效应与激励效应两个相反维度,最终驱动方向与强度取决于两类效应的博弈;限制性股票的风险规避效应显著强于股票期权;股票期权的激励效应显著强于限制性股票;市场竞争程度、企业产权性质与授予动机对限制性股票与股票期权的两类效应产生调节作用。     

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.     

Residual income claimancy,monitoring, and the R&D firm: Theory with application to biotechs

This paper models the assignment of residual income claimancy to an R&D manager and applies the model to biotechnology firms. Residual income claimancy provides incentives for the manager to monitor the R&D process. Since the nature of R&D and of monitoring scientific effort is different, our model predicts stark differences in the residual income claimancy of managers and in other aspects of organization for innovative R&D firms like biotechs. In particular, R&D firms are expected to be more owner‐managed, more expert‐managed, and smaller in size. Cross‐sectional data on biotechnology firms is consistent with these implications. Additionally, longitudinal data indicate that as firms alter their focus on biotech research, their organizational structure changes as expected. Our approach suggests a process of firm and industry evolution related to technological maturity and points to the importance of incentives rather than risk sharing in determining organizational form, similar to the original analysis of franchising. Copyright © 2004 John Wiley & Sons, Ltd.     

R&D investment under spatial price discrimination

This paper uniquely examines an R&D rivalry under spatial price discrimination and compares two alternative timings. When firms invest first, they locate efficiently but overinvest in cost‐reducing R&D if spillover is modest. When firms locate first, they locate inefficiently and always underinvest in cost‐reducing R&D. Although the R&D investment improves social welfare under either timing, profit always declines and so it would never be undertaken if firms cooperate. Both timings are relevant as we identify circumstances under which each will endogenously be chosen in a premarket stage. Critically, the equilibrium timing is often not the socially beneficial timing.     

要素市场扭曲、区域差异与R&D投入

本文利用要素市场扭曲指数及中国高技术产业1997～2009年省际面板数据,考察了要素市场扭曲对R&D投入的影响及区域差异。结果表明,要素市场扭曲对R&D资本投入和R&D人力投入有着不同的影响,抑制了R&D资本投入增长,促进了R&D人力投入;而且其对两者的影响都存在着显著的区域差异。在此基础上,运用门槛检验方法对这种区域差异的影响因素进行了探讨,研究发现,在区域经济发展水平、人力资本水平、财政收入、产权结构和对外开放程度等因素的不同门槛值区间,要素市场扭曲对高技术产业R&D投入的影响程度和方向都存在着明显的差异。     

A micro-econometric analysis of the role of R&D spillovers using a nonlinear translog specification

This paper assesses the impact of Research and Development (R&D) spillovers on production for a panel of 1,203 Italian manufacturing firms over the period 1998–2003.The estimations are based on a nonlinear translog production function augmented by a measure of R&D spillovers which combines the geographical distance between firms, the technological similarity within each pair of firms and the technical efficiency of each firm. The estimation method takes into account the endogeneity of regressors and the potential sample selection issue regarding the decision by firms to invest in R&D. Results show that the translog production function is more suitable than the Cobb-Douglas for modelling firm behaviour and that returns to scale are increasing. Moreover, the internal and external stocks of technology exert a significant impact on firms’ production. Finally, it emerges that, for Italian manufacturing firms, R&D capital and R&D spillovers are highly substitutes.     

知识经济下的研究开发支出的会计处理

现有的资产计量和报告模式,仍然以有形资产的计量为核心,而无形资产不同于有形资产的经济特征———非竞争性、部分独占、固有风险、不可交易,决定了不能把有形资产的规则强加于无形资产。本文试图在对我国上市公司研究开发支出会计处理和信息披露状况的分析的基础上,结合相关的基本理论,思考我国研究开发支出会计处理“前方的路”。     

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.