Integration mechanisms and R&D project performance

Information processing theory suggests the need for different types of integration mechanisms in R&D project management depending on levels of uncertainty and equivocality. This paper examines the use of these mechanisms and their links to project performance in a sample of 121 R&D projects in a large research laboratory. Overall, it is found that formal leadership, planning and process specification, and to a lesser extent information technology use are related to project performance while the positive effects of horizontal structures are apparently balanced out by their costs. The integration mechanisms studied act on performance partly through their effect on horizontal communications. Modest support was found for the contingency hypotheses derived from information processing theory. It appears that managers adjusted their use of horizontal structures, planning and process specification, and informal leadership to project uncertainty but not to project equivocality. The positive effects of horizontal communications on performance were found to be greatest under high project equivocality as would be predicted by information processing arguments. Moreover, with the exception of formal leadership, the use of integration mechanisms did not enhance performance in contexts of low uncertainty and low equivocality.     

The integration of TQM and technology/R&D management in determining quality and innovation performance

This paper presents an empirical study which examines the co-alignment between Total Quality Management (TQM) and technology/research and development (R&D) management in predicting organizational performance in terms of quality and innovation. This study improves our understanding of the relationship between TQM and innovation based on the following two major issues. First, this study contributes to the understanding of the co-alignment between TQM and technology management along with R&D management by bridging the gap between the two areas which are often addressed in a separate fashion. Second, this study also examines the impact of the integration between TQM and technology/R&D on quality and innovation performance which have been considered as the primary sources of a competitive advantage. The empirical data was drawn from 194 Australian organizations and analyzed using the Structural Equation Modeling (SEM) technique. The findings indicate that TQM shows a strong predictive power against quality performance but no significant relationship against innovation performance. On the other hand, technology and R&D management shows a significant relationship with quality performance but at a lower level than that of TQM, and shows much stronger relationship with innovation performance. In addition, there is strong and positive correlation between TQM and technology/R&D management. The major implication of this study is that technology/R&D management is an appropriate resource to be used in harmony with TQM to enhance organizational performance, particularly innovation.     

The impact of service R&D on the performance of Korean information communication technology small and medium enterprises

In recent years, research and development (R&D) in the service industry has attracted a great deal of attention from both academia and industrial firms. However, compared to the manufacturing sector, little research exists on the implications of R&D for the financial and/or non-financial performance of firms in the service industry. The purpose of this study is to examine the impact of service R&D on the performance of information communication technology (ICT) firms. We identify five categories of R&D activities and investigate their impact on the financial and non-financial performance of 100 ICT firms, with a focus on small and medium enterprises (SMEs) in South Korea. We postulate positive relationships between R&D efforts and a firm's performance. However, the findings only partially support our hypotheses; unexpected results demonstrate that the presence of R&D management negatively influences a firm's performance. We present detailed statistical results and discuss the implications of the study.     

Performance measurement in industrial R&D

Currently, the need for R&D performance measurements that are both practically useful and theoretically sound seems to be generally acknowledged; indeed, the rising cost of R&D, greater emphasis on value management and a trend towards decentralization are escalating the need for ways of evaluating the contribution of R&D to corporate performance. However, although recent research and writing on the subject shows that the challenge of developing such sound measurements has been taken up by many academics and organizations, it is also clear that there is no generally applicable approach.
In this review, we consider various approaches for measuring the performance in industrial R&D and identify their key characteristics. We also include a brief summary of the 'history' of performance measurement in R&D, which shows that although there are some new ways of looking at the issue there are many examples from the past that can contribute to our current thinking.
The approaches found in the literature and practice are very varied in their application, some being more suitable for the project level, others for the R&D department, and some for the development process or for the organization as a whole. Furthermore, the uses of the approaches tend to be different. For example, some approaches are intended to justify the continuation of investment in R&D to upper management, whilst others are more suited to support learning and self-correction by empowered R&D teams. In this paper these uses, or 'functions', of performance measurement and a taxonomy of typical subjects of measurement in R&D environments are explored.
Finally, we conclude the review with a discussion of some limitations of the growing literature on R&D performance measurement.     

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.     

Identifying non-competitive bids in construction contract auctions

Construction contract auctions are characterised by (1) anticipated high outliers due to the presence of non-competitive bids, (2) very small samples and (3) uncertainty of the appropriate underlying density function model of the bids. This paper describes the simultaneous identification of high outliers and density function by systematically identifying and removing candidate (high) outliers and examining the composite goodness-of-fit of the resulting reduced samples with the normal and lognormal density functions. Six different identification strategies are tested empirically by application, both independently and in pooled form, to several sets of auction data gathered from around the world. The results indicate the normal density to be the most appropriate model and a multiple of the auction standard deviation to be the best identification strategy.     

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.     

Genetic distance,international experience and the performance of cross-border R&D for EMNEs

Cross-border R&D can contribute to the enhancement of independent innovation capabilities of emerging markets multinational enterprises (EMNEs) by benefiting from knowledge management. However, scant research exists examining the location impact of cross-border R&D for EMNEs on performance implications. This paper fills this important theoretical gap by building upon the literature of genetic distance in connection with knowledge management. We use a panel data of Chinese high-tech listed companies to empirically examine the impact of genetic distance on the performance of cross-border R&D and the role played by international experience. Our results reveal a positive relationship between genetic distance and the performance of cross-border R&D. Importantly, we highlight the motivation for cross-border R&D of EMNEs to acquire technical knowledge magnifies the positive effects of genetic distance and performance. Furthermore, our analysis indicates that international experience significantly enhanced the positive effect of genetic distance on cross-border R&D performance. We conclude this paper by discussing theoretical contributions to genetic distance, international management and knowledge management, as well as practical implications for cross-border R&D of EMNEs.     

Globalisation and trends in international R&D alliances

The growth of collaborative activity is greatly influenced by the process of globalisation. This paper focuses on the narrow area of collaborative R&D activity, and takes a ‘macro,’ as well as a firm perspective of the effects of these developments. Globalisation has affected the need of firms to collaborate, in that firms now seek opportunities to cooperate, rather than identify situations where they can achieve majority control. The use of collaboration is particularly acute in capital- and knowledge-intensive sectors. These are also the sectors where firms have expanded internationally fastest, as they need to compete in various markets simultaneously, but also to exploit and acquire assets and technology that may be specific to particular locations. The increasing similarity of technologies across countries and cross-fertilisation of technology between sectors, coupled with the increasing costs and risks associated with innovation has led firms to consider R&D alliances as a first-best option in many instances.     

Using vulnerability performance indicators to attain food supply chain robustness

High effectiveness and leanness of modern supply chains (SCs) increase their vulnerability, i.e. susceptibility to disturbances reflected in non-robust SC performances. Both the SC management literature and SC professionals indicate the need for the development of SC vulnerability assessment tools. In this article, a new method for vulnerability assessment, the VULA method, is presented. The VULA method helps to identify how much a company would underperform on a specific Key Performance Indicator in the case of a disturbance, how often this would happen and how long it would last. It ultimately informs the decision about whether process redesign is appropriate and what kind of redesign strategies should be used in order to increase the SC's robustness. The applicability of the VULA method is demonstrated in the context of a meat SC using discrete-event simulation to conduct the performance analysis.     

Evaluating the efficiency of dual-use technology development programs from the R&D and socio-economic perspectives

This study applies a network data envelopment analysis model called network slacks-based measure (NSBM) to examine the R&D efficiency and socio-economic efficiency of Taiwan's dual-use (military and general public) technology development programs. We also employ the additive super-efficiency model to distinguish programs at different stages and conduct an analysis on the strengths and weaknesses of internal resource utilization. The results of this study show that the R&D efficiency is substantially higher than the socio-economic efficiency. Among the dual-use technology development programs, material and chemical engineering programs demonstrate relatively higher performance. This study provides insights into the policy of resource utilization.     

Patents,R&D investments and post-IPO strategies

This paper empirically investigates the effect of going public on the evolution of high-tech entrepreneurial firms, focussing in particular on the interaction between innovation variables and financing and investment strategies. Specifically, I confront the effects of the IPO on firms with higher R&D investments versus firms with more patents. Firms with higher R&D investments typically view the IPO as a mechanism to raise external equity, used to pursue investments and to acquire participation in other companies, whereas those with more patents raise more debt capital and invest less after the IPO, as compared to high-tech entrepreneurial firms. I suggest that a large number of patents is an index of technological maturity for high-tech ventures, even more than age and size, that helps investors to individuate firms with a lower level of risk.     

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。     

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.     

External technology acquisition and product innovativeness: The moderating roles of R&D investment and configurational context

An increasing number of studies in technology/innovation management contribute to the understanding of the relationship between external technology acquisition and product innovation performance. On the other hand, the meta-analytic reviews of new product development literature indicate a positive impact of product innovativeness on product innovation performance. However, existing research has not examined the link between external technology acquisition and product innovativeness. This study, therefore, aims to fill this gap of knowledge by investigating the external technology acquisition—product innovativeness relationship and examining the moderating roles of R&D investment and configurational context on this link. Based on a panel sample of 105 high-technology firms over a six-year period, a least squared dummy variable s model reveals interesting results. First, external technology acquisition has a positive impact on product innovativeness. Second, R&D investment increases the effect of external technology acquisition on product innovativeness. Lastly, firm size exhibits a negative effect on the contribution of external technology acquisition to product innovativeness. However, firm age positively impacts the relationship between external technology acquisition and product innovativeness. In addition, this study reveals a positive effect of product innovativeness on firm growth.     

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。     

Real option games with R&D and learning spillovers

We demonstrate to decision makers how to optimally make costly strategic pre-investment R&D decisions in the presence of spillover effects in an option pricing framework with analytic tractability. Decisions are modeled as impulse-type controls with random outcome. Two firms face two decisions that are solved interdependently in a two-stage game. The first-stage decision is: What is the optimal level of coordination (optimal policy/technology choice)? The second-stage decision is: What is the optimal effort for a given level of the spillover effects and the cost of information acquisition? The framework is extended to a two-period closed-loop stochastic game with (path-dependency inducing) switching costs that make strategy revisions harder. When conditions of learning-by-doing exist, we find that strategy shifts are easier to observe in market environments of high growth and high volatility.     

Internationalization of R&D and Innovation Performance in the Pharma Industry

This research investigates the effect of R&D internationalization and contingency variables on innovation performance. A number of prior studies addressing this question have concluded in diverse and inconsistent findings, which can be attributed only partly to sample selection and measurement discrepancies. Using a longitudinal dataset of global pharmaceutical firms, we partly solve this ambiguity in the R&D internationalization and innovation performance relationship. The results reveal an S-shaped relationship, suggesting the benefits of R&D internationalization ultimately overcome the costs after critical levels of R&D internationalization. This finding combines and unites prior findings of a U-shaped, followed by an inverse U-shaped curve. In addition, we find that the experience in conducting R&D internationally, but not the degree of general internationalization, moderates the relationship between degree of R&D internationalization and performance. This suggests that the effect is contingent on the knowledge of internationalization path of the firm but can flourish in the absence of overall internationalization as well. Implications for theory and practice are derived.