DEA and ranking with the network-based approach: a case of R&D performance

This study enhances the network-based approach, which is a novel method to increase discrimination in data envelopment analysis. The enhancements include removing the bias caused by a scale difference among organizations and highlighting the approach's ability to identify the strengths and weaknesses of each organization. The former makes the approach applicable to both the constant returns of scale (CRS) and the variable returns of scale (VRS) models. The network-based approach applies the centrality concept developed in social network analysis to discriminate efficient decision making organizations as determined by standard data envelopment analysis (DEA). More specifically, the results of data envelopment analysis are transformed into a directed and weighted network in which each node represents a decision making organization and the link between a pair of node represents the referencing relationship between the pair. The centrality value for each efficient organization provides the base for discrimination and ranking. This network-based approach suggests aggregating DEA results of different input/output combinations such that the merits of each organization under various situations can be considered. The final ranking of this approach favors organizations that have their strengths evenly spread and tends to screen out specialized efficient organizations. As a real world example, the approach is applied to evaluate and rank the R&D (research and development) performance of Taiwan's government-supported research institutes. The cross-organizations and within-organization strengths for each efficient research institute are identified after applying the approach. A two-stage R&D evaluation model separates the R&D process into the technology development and technology diffusion stage. The resulting performance map differentiates the research institutes into four categories—Achievers, Marketers, Innovators, and Underdogs.     

基于实物期权的研发项目动态投资决策模型

本文基于实物期权理论,针对研发项目阶段性特点,结合博弈论的思想,分析了多个研发项目组成的投资状态组合,构建了研发项目动态选择模型。首先,根据研发项目多阶段的特征,利用孪生证券的思想,基于实物期权理论,建立了项目中止决策准则;在此基础上分析研发项目的投资决策状态,建立了二十五个状态的切换场景;然后通过实际算例对模型进行验证和分析,得出了研发项目投资的影响范围概念图,最终实现两个项目的最优投资决策目标。     

Corporate Governance: A New Limit to Real Options Valuation?*

Including real options in firms ’ value raises numerous difficulties. Limitations concerning the relevance of option pricing models outside financial markets are the most salient, but carrying out a valuation implies other assumptions, especially on firms’ governance. In particular, assessing whether a real option should be included within a firm’s boundaries and how its value should be shared, is difficult. Most of these issues result from the different property rights on real options: who creates and who can exercise the option? We discuss existing answers to these difficulties and propose a matrix based on property rights to help practitioners decide whether a real option can be valued appropriately or not by real options models. We support our discussion with a case study based on an R&;D firm valuation.     

R&D,productivity, and market value: An empirical study from high-technology firms

Although prior research has addressed the influence of production activity and research and development (R&D) on productivity, it is not clear whether production and R&D affect the market value of a firm. This study proposes and verifies an R&D value chain framework to explore the relationship among productivity, R&D, and firm market values, as measured by Tobin's q theory. By doing so, we attempt to link new theoretical insights and empirical evidence on the effects of R&D efforts and basic production activities to the market valuations of high-technology firms. The value chain data envelopment analysis approach was proposed to estimate parallel-serial processes of basic operations and R&D efforts. This approach can be used to simultaneously estimate the profitability efficiency and marketability efficiency of high-technology firms. This area has rarely been studied, but it is particularly important for high-technology R&D policies and for further industrial development. Using the R&D value chain perspectives of model innovations and extensions proposed in several previous studies, we examined the appropriate levels of intermediate outputs. Production efficiency and R&D were combined to estimate the appropriate levels of intermediate outputs for high-technology firms. Based on the intermediate output analyses, we developed an R&D efforts decision matrix to explore and identify operational and R&D efficiency for high-technology firms. Our sample firms are displayed on a four-quadrant action grid that provides visual information on current short-term operational efficiency and decision making on long-term R&D strategic positions. The empirical findings from the R&D value chain model can provide information for policymakers and managers and suggest the adoption of various policies that place more emphasis on profitability and marketability strategies.     

Effect of R&D expenditures and funding strategies on the market value of biotech firms

Market value of biotech firms is important to investors and venture capitalists who keep this industry alive and dynamic. It is a particularly valuable index of investors' estimate of current and future success of the firms in this industry because other conventional indices of performance and success are inappropriate. Our hypothesis is that market value in this industry can be explained in terms of funding strategies and R&D expenditures. Using all sixty publicly-held biotech firms, that are included in a national directory for such firms engaged in the research of biotech products for human use, we estimate multiple regression models that explain most of the variance in market value using funding strategies and R&D expenditures (R-squared = 0.93). Our models also demonstrated that small biotech firms (< $10 million in total revenue) are substantially different from larger ones.     

企业环境研发、产品差异化与政府环境管制

气候变暖已成为全球日益关注的重要问题之一,实施环境管制政策是政府控制企业碳排放量的重要手段。基于东道国企业和外资企业产品差异化竞争假设,建立了企业环境研发策略(环境研发卡特尔策略和独立环境研发策略)与政府环境管制的三阶段博弈模型,运用逆向求解法求得各阶段均衡解,比较了不同环境研发策略下企业环境研发水平(及碳减排量)、政策环境管制水平及国家福利。结果表明:企业环境研发投入越多,政府最优碳排放税越低;碳排放对环境造成的损害越大,政府最优排放税越高,企业越致力于环境研发。对关键参数赋值和模拟后进一步发现,总体而言,环境研发卡特尔策略要优于独立环境研发策略,但随着产品差异化程度的缩小和环境研发溢出程度的降低,环境研发卡特尔策略优于独立环境研发策略的程度也在缩小。因此,本文的研究可为外资企业和东道国企业产品策略选择和环境研发策略选择提供理论依据,也可为政府政策制定提供参考。     

Biopharmaceutical and chemical firms’ R&D disclosure,and cost of equity: The impact of the regulatory regime

Based on the proprietary costs theory, this paper aims to survey whether the regulatory regime (mandatory versus voluntary) of research and development (R&D) narrative disclosures impacts, by the means of a reduced information asymmetry, on the cost of equity capital. In order to construct a disclosure index to investigate the extent and the comprehensiveness of R&D information, the methodology adopted was the content analysis of 77 biopharmaceutical and chemical listed companies’ management reports from eight Western European countries across the period 2005–2009. Hence, we obtained an (unbalanced) panel data of 309 observations. The cost of capital has subsequently been regressed on the disclosure index. Results confirm a larger amount of R&D disclosures whereas information is more regulated, but they do not confirm an inverse relation with the cost of capital.     

The antecedents of new R&D collaborations with different partner types: On the dynamics of past R&D collaboration and innovative performance

We examine firms' propensity to adapt their R&D collaboration portfolio by establishing new types of R&D collaboration with different kinds of partners (suppliers, customers, competitors and universities & public research institutions). We argue that existing R&D collaboration with one of the two value chain partners (suppliers or customers) is associated with the formation of new R&D collaboration with the other value chain partner to ensure temporal alignment in innovation within the value chain. In contrast, issues related to governance and unintended knowledge spillovers suggest that ‘horizontal’ R&D collaboration with competitors only spurs R&D collaboration with other partner types if such competitor R&D collaboration has been discontinued earlier (‘delayed temporal alignment’). We posit that persistent prior R&D collaboration with institutional partners is an antecedent to the establishment of new R&D collaboration with industrial partners, and that discontinuation of a particular type of R&D collaboration is likely to lead to a restart of such R&D collaborative effort. Strong prior innovative performance is expected to increase the probability that firms establish R&D collaborations with new partner types, except for R&D collaboration with competitors, since the most innovative firms may fear leakage of proprietary knowledge to rivals. We find broad support for these predictions in a large panel of Spanish innovating firms (2004–2011). Our findings highlight that it is not just the configuration of R&D collaborations with existing partner types that predicts tie formation with new partner types, but also the intertemporal pattern of prior R&D collaboration and managerial discretion provided by past innovation success.     

债务约束下的企业广告与R&D投资研究

本文以Brander和Lewis的资本结构产业组织理论为基础,结合资本市场与产品市场,分析了企业负债与广告投资、R&D投资之间的关系。通过模型推导提出理论命题,并运用我国沪深两市A股上市公司数据进行验证得到相关结论。研究结果显示负债对企业广告投入存在刺激作用而对R&D投资存在抑制效应。企业广告投入与R&D投入行为存在明显的行业差异,制造业企业两种投入相对均衡,非制造业企业通常偏好于二者之一。企业广告与R&D投入之间相互影响,制造业两种投资之间存在互补关系,而非制造业两种投资之间存在替代关系。负债对企业广告与R&D投资行为的影响存在差异,并且不同债务类型的影响同样存在差异。本研究可进一步促进资本结构产业组织理论的发展,同时为企业改善广告与R&D投资策略提供理论和经验依据。     

Real options valuation principle in the multi-period base-stock problem

This paper analyzes the multi-period base-stock problem where there is a financial risk associated with a stochastic demand. For the single-period problem, it is known that the optimal inventory policy can be obtained with the Black and Scholes option pricing formula. This paper pushes the analysis further by applying the options valuation framework to the multi-period problem and presenting an algorithm for finding the optimal inventory policy. A computational study indicates that the effect of systematic risk is typically negligible (as for the single-period problem). Therefore, it can be concluded that systematic risk in demand is of little importance for optimal inventory control.     

政府补贴、所有权性质与企业研发决策

本文将企业研发行为分为"是否研发"和"投入多少"两个阶段,就政府补贴对不同所有制企业研发决策的影响进行研究.理论方面,构建企业研发决策的两阶段模型,讨论了补贴对企业研发投资的作用机制.实证方面,以中国工业企业为对象,选择Heckman两步法和2SLS分别处理了样本选择性偏误及变量间的内生性问题,对来自国有、私营和外资企业的分类样本进行了检验,结果表明:在不同的所有权性质下,政府补贴对企业研发投资的作用存在一定差别,国有企业面对优惠政策的倾斜和需要担负的社会责任,从事技术创新活动的概率较高,但由于特殊的产权关系和预算软约束等原因,缺乏扩大研发投入的动力;对于治理机制完善的外资企业和处于市场竞争弱势地位的私营企业而言,政府补贴的研发激励效果更为明显.     

The dual effect of board gender diversity on R&D investments

We examine how gender diversity on boards of directors affects investment in research and development (R&D), thereby providing the platform for future ambidexterity of the organization. Using quantitative data from 44 countries, that are exemplified by qualitative data, our findings show that gender diverse boards result in more complex organizational outcomes in regard to R&D investment than assumed originally. Our findings show that gender diverse boards encourage ambidexterity. On the one hand, increased gender diversity has a negative direct effect on R&D. However by positively affecting equity based remuneration, these diversified boards actually encourage indirectly higher R&D investments that are better correlated with the organization goals. Gender diversity on boards, therefore, encourages organizational behavior that increases the chances for higher ambidexterity over time by encouraging exploitative behavior as well as explorative behavior.     

Disentangling reciprocal relationships between R&D intensity,profitability and capital market performance: A panel VAR analysis

Research and development (R&D) investments are strategic choices that firms make to create and sustain competitive advantage. Extant literature proposes that firms’ R&D investments and their profitability and capital market performance are reciprocally related. However, the direction of these relationships and their temporal nature are unclear. We take a real options perspective to argue that the long-run firm performance effects of R&D investments are better than their short-term ones, and that the initial level of R&D intensity influences the nature of these relationships. We apply panel vector autoregression (P-VAR) to a sample of 6623 U.S. firms over the 1990–2020 period in order to test our hypotheses. Our results indicate that increases in R&D intensity have negative effects on profitability in the short term, yet these effects diminish relatively quickly. The effects of increases in R&D intensity on capital market performance are positive and persist over time. Consistent with our predictions, they are contingent on the initial levels of R&D intensity and performance. The findings are fundamentally in line with the real options perspective employed here, yet they add important nuance to our understanding of when, how, and under which conditions R&D investments and firm performance affect one another.     

Development of absorptive capacity over time and across boundaries: The case of R&D consortia

Absorptive capacity (AC) has been identified as the ability of firms to acquire, assimilate, and apply external knowledge, and thus as a pre-condition for learning from knowledge environment. However, extant literature has focused on AC as (1) a static and (2) a firm-centred concept. In particular, there is little conceptual framing and empirical evidence of how AC develops over time and across boundaries. Taking R&D consortia as the unit of analysis and based on insights from three in-depth case studies of collaborative R&D, our contribution is a framework for AC development over time and across inter-organizational, intra-organizational, and practice boundaries at different stages of collaboration in R&D consortia. Using this framework, we identify a set of mechanisms which enable the development of AC and we discuss the preconditions for these mechanisms. For R&D managers, our research implies that in order to enhance effectiveness of knowledge transfer and learning in R&D consortia they need to develop a strategy that (1) supports learning and AC development throughout the whole cycle of the collaboration, not only by focusing on intra-firm capabilities, but in particular by providing flexible interfaces for overcoming a variety of interaction and learning boundaries between heterogeneous R&D partners, and (2) enables the integration of created and acquired knowledge within the organization once the collaboration is over.     

A multicriteria sorting approach based on data envelopment analysis for R&D project selection problem

In this paper, multiple criteria sorting methods based on data envelopment analysis (DEA) are developed to evaluate research and development (R&D) projects. The weight intervals of the criteria are obtained from Interval Analytic Hierarchy Process and employed as the assurance region constraints of models. Based on data envelopment analysis, two threshold estimation models, and five assignment models are developed for sorting. In addition to sorting, these models also provide ranking of the projects. The developed approach and the well-known sorting method UTADIS are applied to a real case study to analyze the R&D projects proposed to a grant program executed by a government funding agency in 2009. A five level R&D project selection criteria hierarchy and an assisting point allocation guide are defined to measure and quantify the performance of the projects. In the case study, the developed methods are observed to be more stable than UTADIS.     

创新网络嵌入视角下企业研发竞争的博弈研究

研发投入是创新发展的基础和源泉,如何促进企业研发投入是实施创新驱动战略的关键。本文基于创新网络嵌入的背景,构建同一创新网络内两个企业间的博弈模型,针对不同网络位置企业竞争博弈和相同网络位置企业竞争博弈两种情形,探究在研发竞争状态下企业研发投入受网络地位、网络关系的影响情况。研究结果表明:创新网络嵌入下,同质企业的竞争性研发投入与网络范围的技术溢出、网络平均吸收能力以及网络中心度均存在正向相关关系。研究结论丰富了企业研发投入影响因素的研究成果,也为有效激励企业创新提供一个有价值的思路。     

基于产品相关性及研发创新下的销售方式偏好研究

针对零售商捆绑上游多个制造商产品的现状，考察了由两个制造商和一个零售商组成的供应链系统，制造商进行研发投资降低各自产品成本，零售商进行产品销售并选择分开销售还是捆绑销售。考虑制造商研发行为下，探究供应链成员对不同相关性产品销售方式的偏好。研究发现，（1）对于独立产品，系统成员不存在共同的偏好。（2）对于互补产品，并非"一绑就灵"，分开销售会成为系统成员的共同偏好，而非捆绑销售。（3）对于替代产品，并非不能捆绑，感知价值相差处于中间范围的低成本替代产品和感知价值相差较小的高成本替代产品均在捆绑销售下更有利可图。     

Sequencing of emphases on technology alliances and internal R&D: The effects of the market cycle

How does the market reward technological firms' emphases on alliancing and R&D strategies depending on the phase in the market cycle? I use the 1990s’ “dot-com bubble” cycle and its burst after 2000 to look for joint effects of technology alliances and internal R&D investments on firm market valuations. I show that the existing theory is incomplete without considering (1) the temporal sequencing of emphases on technology alliances and R&D, and (2) the phase in the market cycle. I show that different phases of the market cycle reward different temporal sequences of emphases on technology alliances and internal R&D. This paper contributes to the theory of complementarity of alliances and R&D by pointing out previously unexplored factors that make technology alliances and R&D investments either complements or substitutes.     

The impact of R&D sources on new product development: Sources of funds and the diversity versus control of knowledge debate

We build on the knowledge-based view to study the relative impact of alternative R&D sources on innovation performance. We contrast two arguments that have created a debate in the literature: One is that diversity of knowledge is better for innovation, because the integration of a larger variety of knowledge helps create new products that can fulfill unmet customer needs; another is that control of knowledge is better, because the incentives and contextual system of the firm facilitate employees' experimentation, which supports the creation of new products. We provide one solution to this debate by arguing that the relative importance of diversity and control of knowledge on innovation depends on the sources of finance. Hence, we find that, in general, control of knowledge has a higher impact than diversity of knowledge on the sale of new products. We also find that alternative sources of finance moderate the relationships: internal funds strengthen the impact of R&D sources with more diversity of knowledge on the sale of new products, while external funds strengthen the impact of R&D sources with more control of knowledge on the sale of new products.