Managing foreign R&D laboratories in China

This paper focuses on the management of R&D units established by foreign companies in China, investigating R&D missions, site build-up, integration with the parent organization, and overall performance measurement. The research is based on 37 qualitative expert interviews with local R&D directors and managers conducted between 2001 and 2004, using a semi-structured research questionnaire, and semi-quantitative research done on 199 foreign R&D labs in China. Cultural influences on R&D management, location advantages, expatriate involvement, and organizational evolution of local laboratories are discussed. We find that foreign R&D laboratories in China are not only important vehicles for local market development but also increasingly important sources of locally developed technology.     

Thematic Thinking and Individual Performance in Research and Development

Individuals differ in their preference for processing information on the basis of taxonomic, feature‐based similarity, or thematic, relation‐based similarity. These differences, which have been investigated in a recently emerging research stream in cognitive psychology, affect innovative behavior and thus constitute an important antecedent of individual performance in research and development (R&D) that has been overlooked so far in the literature on innovation management. To fill this research gap, survey and test data from the employees of a multinational information technology services firm are used to examine the relationship between thematic thinking and R&D professionals' individual performance. A moderated mediation model is applied to investigate the proposed relationships of thematic thinking and individual‐level performance indicators. Results show a positive relationship between thematic thinking and innovativeness, as well as individual job performance. While the results do not support the postulated moderation of the innovativeness–job performance relationship by employees' political skill, they show that the relationship between thematic thinking and job performance is fully mediated by R&D professionals' innovativeness. The present study is thus the first to reveal a positive relationship between thematic thinking and innovative performance.     

Modeling the firm's response to research & development tax credit policies

In this article, we develop a microeconomic model of normative firm behavior under the incentive of a research and development (R&D) tax credit. The model is based on the well-known concept of a two-factor learning model in which R&D expenditures and manufacturing capacity expansion are the principle determinants of cost reduction in a new technology product. We distinguish between the behavior of start-up firms and ongoing firms and study the potential impacts of progressively larger R&D tax credits. We find highly significant differences in the potential impact of the credit on start-up firms versus ongoing firms. We also find that the credit can significantly impact optimal product pricing of the technology when introduced into the marketplace. We examine the implications of this latter fact on the overall social cost of the R&D tax credit.     

Evaluating the efficiency and productivity change within government subsidy recipients of a national technology innovation research and development program

This study analyzes the efficiency and productivity change within government subsidy recipients of a national technology innovation research and development (R&D) program. We examine 6,990 government‐sponsored, completed R&D projects during the last three performance follow‐up survey years from 2010 to 2012, and present a design of the sample of panel data to cope with the typical R&D performance time lag using a set of massive observations associated with completed R&D projects for the past 7 years from 2005 to 2011. In particular, data envelopment analysis is adopted to measure the efficiency and productivity change, which is measured in the Malmquist index. Parametric and nonparametric statistical tests are carried out to check for statistically significant differences among the characteristics regarding the types of government subsidy recipients. This study's major findings are as follows. First, during the entire period analyzed (2010–2012), there was a similar yearly pattern of statistically significant differences in the government subsidy means among the recipient types. In contrast, there were no obviously equivalent differences in the efficiency and productivity change. Second, the productivity had increased year on year, but the increments were reduced from year to year. Third, the productivity change was induced mainly by the Frontier‐shift, which indicates overall technology innovation progress, compared with the Catch‐up, which only indicates a simple increase in the efficiency. In particular, in this empirical analysis, the recipient types of ‘national laboratory’ and ‘large company’ had relatively larger sizes of government subsidies per project. However, the efficiency and productivity change of these types was not better than the others. This implies, therefore, that the government should control the ratio of the subsidy to the total R&D budget with an appropriate upper limit.

• I empirically evaluate the productivity change within a national technology innovation R&D program.
• I design a sample of panel data to cope with the typical R&D performance time lag using massive observations.
• There is no obvious relationship between the government subsidy size and R&D productivity change.
• Some particular types of government subsidy recipient are inferior in terms of R&D productivity change.
• It practically implies that the government should control the ratio of the subsidy to the total R&D budget.

     

A model of value assessment in collaborative R&D programs

This study examines the tasks, processes, and frameworks central to performance assessment in collaborative research organizations. The domain of the study is the partnered learning approach to research and development (R&D) management. The empirical results highlight relationships between context (center scale) and performance (value perceived by industry sponsors) in such R&D collaborations. Insights from this research are broadly applicable to the maintenance of alliances among firms involved in collaborative R&D and are generalizable to that context. Data gathered from a national population of 58 National Science Foundation (NSF) sponsored centers over a 3-year period reveal significant evolutionary patterns in the development of collaborative relationships. Successful industry university consortia leverage four core process relationships: (1) the creation of research capacity yielding advances in process and product knowledge; (2) technology transfer behaviors within the participants' organizations; (3) participant satisfaction with the outcomes; and (4) the continuity of industry sponsor support, i.e., commitment to the collaboration.     

Corporate technology portfolios and R&D performance measures: a study of technology intensive firms

This paper examines the relations between technology portfolio strategies and five commonly used research and development (R&D) performance measures. Patent and financial data of 78 US-based technology companies from 1976 to 1995 were gathered and analysed to investigate how a well-managed technology portfolio can create synergy and affect R&D performance. A technology portfolio can be characterized by its composition and technology concentration. A valuable technology portfolio that consists of patents with higher average citation made and self-citation ratio can have a positive effect on firm value. Our findings suggest that large firms may enjoy advantages for technological innovation because they can exploit synergy effects of their technology portfolios. Technology concentration strategy does not work well because firms focusing on few technology fields can experience diseconomy to patents received since high-quality patents are increasingly difficult to obtain. This paper lays the groundwork for future empirical research on technology portfolio and R&D performance.     

Mitigating the Challenges of Partner Knowledge Diversity While Enhancing Research & Development (R&D) Alliance Performance: The Role of Alliance Governance Mechanisms

This article explores the answers to the following unresolved research question: How do firms mitigate the collaboration challenges associated with partner knowledge diversity and enhance alliance performance? The study provides an alliance performance enhancing framework by identifying two types of partner knowledge diversity: (1) technology base diversity and (2) R&D process experience diversity, and links them with R&D alliance performance. Additionally, the moderating effects of the two types of alliance governance mechanisms (i.e., interactive and contractual mechanisms) were examined to investigate which alliance governance mechanism is conducive to mitigate the collaboration challenges and enhance alliance performance. Using a data set of 316 alliances in the biopharmaceuticals industry, the study found that a moderate degree (not too low or high) of technology base diversity between alliance partners contributes more to R&D alliance performance. Similarly, there was also an inverted U-shaped relationship between R&D process experience diversity and alliance performance; too much diversity in R&D process experience may increase the likelihood of partner opportunism, and therefore negatively affect alliance performance. Additionally, the results showed that alliance governance mechanisms played different roles in alliance collaboration; while the contractual alliance mechanisms help reduce relational uncertainty (e.g., opportunism), the interactive mechanisms promoting a more intensive interaction between partners mitigates task difficulty and facilitates complex technology activities. These findings extend the knowledge-based view (KBV) of strategic alliance and advance research on alliance governance design.     

Systemic absorptive capacity: creating early-to-market returns through R&D alliances

For most complex emergent technologies, product-market success depends on efficient linkages between changing lead innovators within the R&D process. In this paper, our unit of analysis is a complex high technology product and the system of alliance linkages formed to progress a product through R&D milestones. We present a model and evidence for advancing our understanding of how achieving early-to-market returns depends on systemic absorptive capacity. This systemic absorptive capacity is the cumulative efficiency in the use of absorptive capacity to link changing lead innovators across successive milestones in R&D product development. We advance propositions of how systemic absorptive capacity can explain performance differences between rival product development systems competing for early-to-market returns with similar products through accelerating speed to market, cost and quality advantages. These explanations are contrasted with the conclusions of previous studies that have focused on absorptive capacity of single firms or single alliances in R&D.     

The effect of inducement prizes on innovation: evidence from the Ansari X Prize and the Northrop Grumman Lunar Lander Challenge

Inducement prizes are increasingly popular because of their potential to induce technological innovations and attain related goals. Academic research, however, has barely investigated these prizes. This paper investigates the motivation of prize entrants, the characteristics of their research and development (R&D) activities, and the overall effect of prizes on innovation using case study research and documentary data sources. The Ansari X Prize and the Northrop Grumman Lunar Lander Challenge, both considered successful technology competitions in the aerospace sector, are investigated. The findings show that, first, incentives created by competitions, particularly those that are nonmonetary, attract unconventional entrants. The market value of the prize technologies motivate entrants as well but do not attract traditional industry players. Second, limited technology development lead times and no up‐front funding characterize prize R&D activities, yet their differences with traditional industry practices are caused by participant‐level factors. Most importantly, the introduction of novel R&D approaches is associated with the participation of unconventional entrants. Third, these prizes induced innovations over and above what would have occurred anyway, with the caveat that they were linked to significant technology incentives and fundamentally, ongoing R&D processes. These findings put forward lessons that inform the design of more effective prize competitions.     

An empirical analysis of the determinants of technology roadmap utilization

For many years now, firms have managed their research and development (R&D) by applying various approaches drawn from the discipline of technology roadmapping (TRM). The underlying rationale of these roadmapping approaches is to align firms' product and technology developments with their business goals. By visually representing firms' technology strategy, roadmaps support intra‐firm communication and facilitate the coordination of strategic decisions and activities within the technology management domain. Most previously published research on TRMs has focused on the design and implementation of roadmapping processes; that is, relatively few empirical or quantitative studies describe the use and evaluation of roadmapping techniques. This paper seeks to address this gap by conducting a survey of 186 different R&D units within stock market‐listed companies in Korea that have implemented TRM. The paper attempts to identify the antecedent factors behind firms' successful use of roadmaps, further identifying correlations between these antecedent factors through an analysis of the R&D units. It also empirically highlights these antecedent factors by empirically analyzing and verifying correlations between roadmap utilization and R&D performance.     

The idiosyncrasy of research and development efficiency across types of small‐ and medium‐sized enterprises: evidence from Korea

Small‐ and medium‐sized enterprises (SMEs) are considered to be the main driving force behind economic and employment growth. However, the low productivity levels of SMEs cannot be explained by lower levels of R&D investment, but are instead a consequence of a lack of research and development (R&D) efficiency that would have been adequate for making firms more competitive. To investigate any differences in R&D efficiency that impact the company overall performance in economic and employment performance, we analyze various types of SMEs in Korea. This paper applies two estimation methods: data envelopment analysis and regression analysis. This study takes three relevant factors of output: (1) the number of patents, (2) the number of success in terms of technology development, and (3) the level of profit attained through new products. Additionally, the study's model incorporates three parts of input: (1) human resources, (2) development periods, and (3) R&D budget. In the context of this paper, a comparison of the factors regarding efficiency is performed based upon the following criteria: the level of novelty, the length of a product's life cycle, and the time period of a competitor emulation of the product created by original enterprise. Comparing the factors that influence the efficiency of types within each criterion is meaningful in analyzing the differences in efficiency outcome on the various types among SMEs. Our findings indicate that SMEs vary among types in terms of efficiency and that there are also differences causing factors according to types.     

New R&D management paradigms: rethinking research and technology organizations strategies in regions

The R&D management paradigms of research and technology organizations (RTOs) have been discussed in the past. Academics have analysed their strategic challenges in view of the new demands posed by new competitive environments for their SME clients. New innovation models proposed recently have captured the attention of policy makers. The objectives of this paper are to analyse these models in the case of a particular model of RTO: the R&D units in the Basque Country in Spain, launched with the aim of improving R&D and technology transfer efficiency. This paper is based on an empirical study of a group of specialized RTOs (R&D units) and its objective is to analyse a new paradigm of RTO and propose a model to identify the critical elements that influence performance and strategic alignment between R&D performers (RTOs) and their partners (in most cases SMEs).     

A basic model for evaluating R&D performance: theory and application in Italy

Nowadays the public R&D laboratories have a fundamental role in countries' development, supporting businesses as they face the technological challenges in the turbulent world scenarios. Measuring the performance of R&D organisations is crucially important to decisions about the level and direction of public funding for research and development. This research considers the public laboratories like systems and develops a mathematical model based on the measurement of R&D activities with k‐indices. The score obtained from the research laboratories evaluation (relev) methodology synthesises in single value financial, scientific and technological aspects. It is an indicator, for R&D manager and policy maker, of performance in relation to other research organisations or in a time series. The method is an instrument of strategic planning and can be used for the improvement of individual activities and the overall performance of public R&D bodies.     

Exploring the differences in performance measurement between research and development: evidence from a multiple case study

Researchers and practitioners have recently paid great attention to research and development (R&D) performance measurement, although it is acknowledged to be a very challenging task because of R&D intrinsic uncertainty and complexity levels. In this paper, the problem of designing a performance measurement system (PMS) for R&D activities is addressed; specifically, we investigate if and how the design of the PMS is influenced by the type of activity it is applied to, namely Basic and Applied Research or new product development (NPD). We first develop a theoretical framework that comprises the main constitutive elements of a PMS for R&D. Then the framework is used for supporting a multiple case study analysis involving eight Italian technology-intensive firms. The research results show that the criteria for designing the constitutive elements of the PMS are radically different in Basic and Applied Research and NPD. The reasons behind the observed dissimilarities in the design criteria are widely discussed in the paper, as well as their implications for R&D managers.     

Identifying technology trends for R&D planning using TRIZ and text mining

The current pace of technological development has forced many companies to invest significant capital and resources in research and development (R&D) activities. A systematic and efficient method of identifying technology trends and their evolutionary potentials can help companies guide their R&D planning and wisely allocate their R&D resources. This study proposes a framework combining the evolutionary trends developed by the Theory of Inventive Problem Solving, or Teoriya Reshniya Izobretatelskikh Zadatch (TRIZ) in Russian, with the visualization technique of text mining to systematically identify technology trends from patent documents. As technological information in patent documents is stored almost entirely in text format, the text mining method allows R&D personnel to efficiently identify technology trends and effectively conduct R&D planning. Utilizing text mining method on patents of magnetic random access memory (MRAM) systems and the underlying principles of TRIZ evolutionary trends, this study shows that MRAM includes 10 important technology trends. These trends have almost reached the evolutionary limit phase defined by TRIZ, which means that MRAM is fast becoming a mature technology. Therefore, for businesses that intend to acquire MRAM technology they do not possess, a wise R&D plan may be licensing the technology, buying the technology from others, or participating in a joint venture rather than using in‐house R&D.     

Inward technology licensing and firm performance: a longitudinal study

Inward technology licensing (ITL) is often viewed as an important strategy adopted by firms to achieve innovation. However, relatively limited research has focused on evaluating the contribution of ITL to firm performance. The gap is all the more surprising since the benefits of external technology acquisition on innovation output have been emphasized in a lot of the literature. This study therefore sets out to investigate the extent to which the investment of ITL by firms affects their performance. In view of the relative abundance of data on variables for a longitudinal investigation, this analysis concentrates on the electronics-manufacturing industry. The longitudinal sample allows this examination to control the more extraneous effects and to provide more convincing evidence for examining the relationship of ITL and firm performance. A total of 341 Taiwanese electronics-manufacturing firms balanced over the period from 1998 to 2002 is taken as the analytical sample. The basic statistics indicate that acquiring technology externally shows an increasing tendency within the firms. The analyses, from the least square dummy variable method, reveal that ITL per se does not provide a significant contribution to firm performance; however, the positive impact of ITL on their performance increases with the level of the firms' internal research and development (R&D) efforts. Both the checks for robustness and the split-sample analyses validate the results. The findings not only highlight the importance of internal R&D efforts but also suggest that firms had better use ITL as a complement rather than a substitute of internal R&D for their competence.     

Market Orientation and R&D Effectiveness in High‐Technology Firms: An Empirical Investigation in the Biotechnology Industry*

There seems to be lack of consensus among informed scholars about the importance a of market orientation for high‐technology firms. This paper gives a comprehensive review of existing empirical studies on the relationship between market orientation and innovation performance and pinpoints two limitations in this research stream that might be at the origin of such controversy. First, extant research often overlooked key innovation outcomes for high‐technology firms, such as those related to research and development (R&D) performance. Second, organizational conditions that can ensure an optimal integration of market knowledge in the innovation process have been less analyzed in the case of these firms. Against this background, the present study contributes to the literature by providing a test of the effect of market orientation on R&D effectiveness and the moderating role of knowledge integration in this relationship, using a sample of Italian biotechnology firms. The study's objectives are addressed in two steps. The first one consists of an in‐depth qualitative study based on semistructured interviews in five biotechnology firms. The second step consists of a follow‐up survey of 50 biotechnology firms. Results from hierarchical multiple regression analysis show that the different dimensions of a market orientation have diverse effects on R&D effectiveness of high‐technology firms: whereas interfunctional coordination has a positive main effect, the effect of customer orientation is moderated by knowledge integration, and competitor orientation has no effect on R&D effectiveness. Post hoc analyses also show two additional results involving a broader set of dependent variables. First, R&D effectiveness mediates the effects of customer orientation and interfunctional coordination on organizational performance. Second, market orientation does not appear to significantly affect R&D efficiency. The present study contributes to current literature in two main respects. First, it adds to previous work on market orientation and innovation by proposing a new dependent variable—R&D effectiveness—which offers a better perspective to understand the impact of market orientation on innovation performance in high‐technology contexts. Second, while part of the current debate on the role of market orientation in high‐tech markets seems to be polarized by positions that sustain its potential drawbacks or, on the contrary, its advantages, this study's findings on the moderating role of knowledge integration shed light on important contingency factors, such as organizational capabilities. The authors discuss the study's limitations and provide directions for future research.     

Scale and performance in publicly funded collaborative research and development

This paper reports the results of an extensive empirical investigation on the role of project scale (reflected in consortium size and in project budget) on various performance dimensions of publicly funded collaborative research and development (R&D) projects. Recent trends in European research policy are founded on the premise that such scale economies do exist, hence the emphasis placed on the critical mass of R&D projects. We argue that large scale in collaborative R&D confers both positive and negative effects, and thus we hypothesize an inverse U‐shaped relation between scale and performance. We only find an inverse U‐shaped effect of consortium size on networking impacts and a U‐shaped effect of project budget on goal achievement. No other statistically significant relationships were found for the remaining performance dimensions (i.e. scientific outputs, technological outputs, and research capacity impacts). More generally, and consistent with recent work on the relation between quality and quantity in academic research, our analyses offer little evidence to support the idea that increasing scale generally improves collaborative R&D performance. It appears that the simple assumption ‘bigger is better’ in European Union‐financed collaborative R&D may need to be reconsidered.     

Is R&D risky?

Research summary : Many studies use research and development (R&D) intensity or R&D spending as a proxy for risk taking, but we have little evidence that either associates positively with firm risk. We analyze the relations between R&D intensity (R&D spending to sales) and R&D spending on the one hand and 11 different indicators of firm risk on the other, using data from 1,907 to 3,908 firms in various industries over 13 years. The analysis finds a general lack of consistent positive association between R&D and firm risk, making the use of R&D as an indicator of risk taking questionable. Furthermore, R&D intensity and spending do not correlate positively, suggesting they measure different constructs. We discuss potential reasons for these nonsignificant results. Our study demonstrates that researchers should avoid casual use of R&D as a proxy for risk taking without explicitly providing a clear definition and measurement model for risk. Managerial summary : Risk is a key construct in strategic management research. Many studies in this area measure risk taking by research and development (R&D) intensity (the ratio of R&D spending to sales) or R&D spending. However, since R&D intensity and spending have also been used to measure various other things such as information processing demands, this raises the question of whether R&D intensity and spending are valid indicators of firm risk. We examine this issue by considering the associations of R&D intensity and R&D spending with conventional measures of firm risk. We find a general lack of consistent positive association between R&D and firm risk, making the use of R&D as an indicator of risk taking questionable. Furthermore, R&D intensity and spending do not correlate positively, suggesting they measure different things. Copyright © 2016 John Wiley & Sons, Ltd.     

International R&D partnerships and intrafirm R&D–marketing–production integration of manufacturing firms in emerging economies

Although cross-functional integration is important for research and development (R&D), research about implications of cross-functional integration has been rather sparse. In new product development (NPD), no study to date has examined intrafirm as well as interfirm integration of key functions such as intrafirm R&D–marketing–production together with interfirm integration of host R&D–partner R&D. Such marketing and operations interface contributes to a better understanding of how operational and marketing activities impact on competitiveness and firm performance. This study collected data from 202 electronics manufacturing firms operating in an emerging economy, mainland China and Hong Kong with international R&D partnerships. The findings indicate that a high level of R&D integration between firms improved NPD performance when cross-functional integration is based on existing rather than new product configurations and key technologies. Interestingly, in high distance situations, cross-functional integration in the production validation stage generated NPD success. The findings show that high environmental uncertainties lead to a high level of host and partner firms R&D integration. However, product newness has no significant effects on R&D integration in any of the NPD stages.