How to leverage the impact of R&D on product innovation? The moderating effect of management innovation

Although research and development (R&D) is a key indicator of (technological) innovation, scholars have found mixed results regarding its effect on product innovation and firm performance. In this paper, we claim that variations in R&D effectiveness can be explained by changes in a firm’s social system, in particular in its management innovation. It is still unclear how management innovation influences R&D effectiveness in terms of product innovation. In this study, we address this theoretical and empirical gap in the innovation literature. Our theoretical arguments and findings from a large-scale survey among Dutch firms show that R&D has a decreasingly positive relationship with product innovation, particularly for firms with low levels of management innovation. However, in firms with high levels of management innovation, this relationship becomes more J-shaped, especially in small and medium-sized firms. Our findings also appear to indicate that management innovation may be more important for competitive advantage than just R&D. Overall, our insights reveal that management innovation is a key moderator in explaining firms’ effectiveness in transforming R&D into successful product innovation.     

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.     

The effectiveness of different mechanisms for integrating marketing and R&D

The integration of marketing and R&D is a major concern for companies that want to improve their new product performance (NPP). For this integration, companies are using mechanisms such as physical proximity, cross-functional teams, and job rotation. This study examines the effectiveness of these mechanisms by developing a model that distinguishes between indirect effects of mechanisms on NPP (i.e., through a higher level of integration) and direct effects. The model is tested with data collected from 148 pharmaceutical companies. We were able to measure and compare the effectiveness of seven different integration mechanisms, which produced insights that are interesting and relevant for theory as well as practice.
We found that housing marketing and R&D closer to each other and using an influential cross-functional phase review board are the most effective mechanisms to foster integration. Equal remuneration and career opportunities for marketing and R&D and cross-functional teams are somewhat less effective, whereas personnel movement and informal social group events contribute little. ICT appears to be a very effective tool for enhancing NPP. ICT not only fosters integration between marketing and R&D, but it also has an independent direct positive effect on NPP. Through ICT the day-to-day communication between the different parties in the companies becomes much easier, and we think that this fosters the knowledge creation process within marketing and R&D. For cross-functional phase review boards we found a negative direct effect on NPP. Notwithstanding its strong positive effect on integration, a price is paid in terms of NPP. This may be related to the amount of formalization and complexity accompanying this mechanism.     

The Immediate Impact of New Product Introductions on Stock Price: The Role of Firm Resources and Size*

New product development and introduction is an ongoing important issue to facilitate a firm's success. To demonstrate the financial impact of new product introductions and the supporting role of firm resources and organizational structure, the authors collected 409 new product announcements from 1990 to 1998 and used event methodology and regression models in this research. Building on resources and capabilities perspectives, the present study argues that firm resources with emphases on research and development (R&D) are imperative to materialize new product concepts. However, the research revealed that R&D resources have dual effects on immediate shareholder value (i.e., abnormal stock returns). On one hand, when the firm commits only lower to moderate levels of R&D, investors would have perceived such R&D as expenditures reducing the firm's profit margin and thereby negatively evaluate R&D resources. Nevertheless, when the firm has dedicated its resources to R&D significant enough to signal investors its potential benefits can outweigh its costs, it generates positive shareholder value. Further, the study found that investors honor positive marketing resources that are critical to promote and launch new products to customers. Apart from resources perspectives, according to the organizational structure literature, firm size reflects the layers of bureaucracy within an organization. The research found a negative effect on shareholder value, indicating that investors evaluate more optimistically smaller firms that are likely to be more innovative and entrepreneurial resulted in more breakthrough products. In conclusion, this study provides value to practitioners in understanding the impact of firm size and, more importantly, to what extent they dedicate their resources in R&D and marketing to generate different performance outcomes.     

Involving purchasing in new product development

Purchasing is evolving into a strategic business activity and thus also a potential contributor to the successful development of new products. However, the literature on the involvement of purchasing in new product development (NPD) is sorely lacking. We conducted an exploratory study to investigate purchasing's involvement in NPD, the drivers of this involvement and the influence on new product success. We conducted telephone interviews with purchasing and NPD managers from 43 firms. The results show that firms differ in the extent to which they involve purchasing in NPD and that higher involvement has a positive effect on NPD performance. R&D managers can use the results to design a more effective purchasing–R&D interface and increase the success of NPD.     

Non‐R&D innovation and firms’ new product performance: the joint moderating effect of R&D intensity and network embeddedness

Non‐R&D innovation increasingly plays a critical role in explaining firms’ new product performance. Yet, there has been little research on the consequences and contingent mechanisms of non‐R&D innovation for firms embedded in collaborative network environments. To address this research gap, we investigated a conceptual framework of non‐R&D innovation using data drawn from Chinese manufacturing firms. First, we found that non‐R&D innovation positively affects firms’ new product performance. Second, we discovered that high R&D intensity positively strengthens the impact of firms’ non‐R&D innovation on new product performance. Third, we provided critical analysis of the role of non‐R&D innovation in promoting new product performance, accomplished by enhancing R&D investment while simultaneously improving the degree of network embeddedness. Our findings extend both the non‐R&D innovation literature and open innovation literature while providing managers with several key recommendations.     

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.     

Giving fish or teaching to fish? An empirical study of the effects of government research and development policies

This study compares how government research and development (R&D) subsidy and knowledge transfer from universities and public research institutions stimulate a firm's new product development. More importantly, we emphasize that the effects of these governmental R&D policies on new product development can be achieved not only directly, but also via a mediating role – a firm's innovation capability. Furthermore, we test how other external knowledge sources (such as knowledge from universities and public research institutions) interact with government R&D support to stimulate new product development. The results, based on an investigation of 270 Chinese firms, suggest that both government R&D subsidy and knowledge transfer from universities and public research institutions enhance new product development. The results also show that although government R&D subsidy and knowledge transfer from universities and public research institutions has a direct impact on new product development, innovation capability does mediate the above relationships. Moreover, unlike the findings that other external knowledge sources have a direct influence on new product development as indicated by the previous literature, our findings suggest that external knowledge sources substitute with the government R&D subsidies and complement with knowledge transfer from universities and public research institutions. The results confirm the old sayings that teaching to fish (knowledge transfer from universities and public research institutions can complement with other external knowledge sources) is much better than giving fish (government R&D subsidies substitute other external knowledge sources). This paper enriches current literature of government R&D support policies to firm new product development by providing empirical evidences.     

The R&D and marketing cooperation across new product development stages: An empirical study of Taiwan's IT industry

This study extends the new product development (NPD) process research to a new environmental context (Taiwan's IT industry) and a new business type (original design manufacturing, ODM). Taiwan's IT industry has achieved a very outstanding performance during the last two decades. The island's experience is quite valuable for those emerging countries that are struggling to transform themselves from producing low-value goods to making high-technology products. After analyzing the data collected from 153 research and development (R&D) and marketing managers in Taiwanese IT firms, this study finds that the higher the perceived importance of R&D-marketing cooperation is, the higher the attained level of R&D-marketing cooperation will be. Consequently, a better NPD performance can be achieved. This study additionally reports that a firm that has adopted a Defender innovation strategy attains a lower level of R&D-marketing cooperation, and has a poorer NPD performance than those firms that adopted either Prospector or Analyzer innovation strategies. Finally, environmental uncertainty has no significant impacts on the perceived importance and the attained level of R&D-marketing cooperation.     

Marketing/R&D Interaction in New Product Development: Implications for New Product Success Rates

A growing body of literature has evolved which deals with the interaction between marketing and R&D in new product development. Much of this research, unfortunately, fails to associate various variables with new product success levels. Thus, it cannot suggest consensus guidelines for marketing's involvement to increase the performance levels of new products in the market place. Richard Hise, Larry O'Neal, A. Parasuraman and James McNeal report results of their analysis of the new product development procedures of 252 large manufacturing companies. The authors conclude that collaborative efforts between marketing and R&D during the actual designing of new products appear to be a key factor in explaining the success levels of new products, that management effort should focus on the design stage of the new product development process rather than on the earlier and later stages and that R&D's contributions cannot be ignored while decisions are made about marketing's role in developing new consumer and industrial products.     

Performance measurement in R&D: exploring the interplay between measurement objectives, dimensions of performance and contextual factors

Measuring research and development (R&D) performance has become a fundamental concern for R&D managers and executives in the last decades. As a result, the issue has been extensively debated in innovation and R&D management literature. The paper contributes to this growing body of knowledge, adopting a systemic and contextual perspective to look into the problem of measuring R&D performance. In particular, it explores the interplay between measurement objectives, performance dimensions and contextual factors in the design of a performance measurement system (PMS) for R&D activities. The paper relies on a multiple case study analysis that involved 15 Italian technology-intensive firms. The results indicate that firms measure R&D performance with different purposes, i.e. motivate researchers and engineers, monitor the progress of activities, evaluate the profitability of R&D projects, favour coordination and communication and stimulate organisational learning. These objectives are pursued in clusters, and the importance firms attach to each cluster is influenced by the context (type of R&D, industry belonging, size) in which measurement takes place. Furthermore, a firm's choice to measure R&D performance along a particular perspective (i.e. financial, customer, business processes or innovation and learning) is influenced by the classes of objectives (diagnostic, motivational or interactive) that are given higher priority. The implications of these results for R&D managers and scholars are discussed in the paper.     

Examining the new product innovation – performance relationship: Optimizing the role of individual-level creativity and attention-to-detail

New product innovation has been identified as the key to firms' marketplace success, profit and survival. Yet, the failure rate for new products is high. Because of the high costs associated with new product development, there is considerable theoretical and managerial interest in how to minimize the high failure rates of new products and what separates new product winners from losers. This study focuses on individual level ambidexterity – namely head of the R&D departments' capacity to engage in creativity and attention-to-detail simultaneously, a skill involving different centers of attention, and relying on somewhat incompatible behaviors and processes. The ability to engage in these behaviors simultaneously is seen as being ambidextrous. Drawing from the data of 150 advanced manufacturing firms in India (gathered from one CEO and one head of the R&D department for each firm), the results show that when an individual head of R&D engages heavily only in creativity, too many new, risky ideas may come and when he/she engages heavily only in attention-to-detail, he/she may suffer through a lack of novel ideas. Both approaches limit individual's contribution to enhancing product innovation – financial performance relationship. The results also show that an individual head of R&D needs to engage in high levels creativity and attention-to-detail in the pursuit of enhancing product innovation to achieve superior financial performance.     

Content validation of a measure of R&D effectiveness

The overall purpose of this paper is to analyse the content validity of a tool for measuring research and development (R&D) effectiveness in industry using an approach known as scale or construct validation.
Since a large number of indicators is needed in order to measure this concept, and it is often difficult to find qualitative measures that would provide more information than quantitative measures or purely numerical magnitudes, we have constructed a scale that enables us to create a multiindicator to measure R&D inputs, processes, outputs and results. This multiindicator also enables us to group together all the relevant data obtained from the R&D management literature, which we then validate by consulting the opinion of experts from two firms that are very active in R&D and we have consulted two more nationally recognized Spanish researchers on R&D.     

Measuring technological capability and performance

The relation between technological capability and firm performance is more complex than what is generally assumed. Researchers have not been able to consistently find empirical support for this apparently 'simple' relation. The objective of this study is to illustrate the theoretical and empirical complexity of this relation and explain why the use of different measures can lead to dramatically different results. In this study, we analyse the technological capability–performance relation in 201 large US public manufacturing companies. A variety of patent statistics and a measure of research & development (R&D) intensity are used as indicators for technological capability. The following six measures of performance are used as dependent variables: return on assets, return on equity, return on sales, market value, market value added, and economic value added. The results vary substantially, depending on which measures are used for the independent and dependent variables. A detailed understanding of precisely what each measure represents and the shortcomings of each measure is needed to explain why these differences exist. We conclude by discussing the effectiveness of a variety of technological capability measures using patent citations, and illustrate why a measure of R&D spending and the total number of patents are usually not valid measures of a firm's technological capability.     

Measuring firms’ imitation activity

Although imitation is more abundant and prevalent than innovation in firms’ product and process development activities, it has been understudied in research on innovation and R&D management. For example, a valid and reliable objective firm-level measure of the intensity of imitation activity is lacking in the extant literature. This measure is necessary to understand the antecedents and consequences of firms’ imitation activity, which has implications for R&D management. In this paper, we present novel methods that employ patent infringement litigations data to improve on the validity and reliability of measuring firms’ imitation activity. We validate our proposed measure by presenting a first model and test of R&D as a multiple-output production function with R&D expenditure as the primary input, and innovation and imitation as joint outputs. This is in contrast to current R&D models as a single-output production function of either innovation or imitation. This study uses a sample of 227 public firms from the computer, semiconductor, and pharmaceutical industries in the United States during 1991–2010.     

How Do Interaction Activities among Customers and between Customers and Firms Influence Market Performance and Continuous Product Innovation? An Empirical Investigation of the Mobile Application Market

Mobile application markets (MAMs) significantly differ from other existing marketplaces at least in two aspects. First, customers (app users) and firms (app providers) frequently interact with each other in real time, which is not common in the conventional marketplaces. Second, many app providers incorporate customers’ opinions or suggestions into their software upgrades, representing one of the most unique and interesting aspects of MAMs. Therefore, it has become critical to understand the impact of interaction activities not only among customers, but also between customers and firms on the market performances of new products in MAMs. One of the most significant issues firms face is whether firms reflect on customers’ postpurchase interaction activities, and the next interesting question is how firms respond to them. This study explores the effects of customer‐to‐customer (C2C), customer‐to‐firm, and firm‐to‐customer interaction activities on market performance. In addition, this study investigates how communication activities influence a firm's tendency to pursue continuous product innovation through research and development (R&D). Using data obtained from a major MAM, T store, three models that are respectively related to product sales, product lifetime, and a firm's R&D activity for product upgrades, are applied to empirically test hypotheses concerning the effects of interaction activities. In our analyses of market performance, a hierarchical log regression model with 10,840 weekly transactions data set related to product sales (model A) and 291 aggregate transactions related to product lifetime (model B) is used. Results indicate that C2C and customer‐to‐firm communication activities have a positive impact on sales, but little relationship with product lifetime. However, a firm's continuous product R&D has a positive impact on both sales and lifetime performance. Our analysis of a firm's R&D (model C) shows that C2C and customer–firm communication increases a firm's R&D activity. Taken together, these results have important implications for customer–firm interactions, market performance, and R&D strategies.     

The nature of NPD and role flexibility of R&D/marketing in a fast growing high‐tech setting

This study investigated the mutual learning process between marketing and R&D in the context of the information and communications technology industry. The relationship between product newness and role flexibility of R&D/marketing was examined via correlation analysis and multiple regression against a stratified sample of 171 new products. The results showed that different aspects of product newness are associated in a different way to role flexibility of R&D/marketing. Management should therefore be aware of such differences when planning their product development portfolio so that effective integration between R&D and marketing can be achieved.     

Why did we make that cheese? An empirically based framework for understanding what drives innovation activity

In the more recent product development literature the interplay between R&D skills and competencies and market skills and competencies is seen as a major determinant of successful innovation. The study reported in this article was done in order to cast more light on these two constructs in an industry with low R&D expenditures, but where product development is nevertheless considered to be strategically important. That industry is the food processing industry. The results of a series of case studies indicate that constructs other than R&D and market orientation may be more appropriate for understanding innovation and explaining innovation success in the case material. A new set of constructs focusing on what causes specific innovation activities to occur is proposed and a revised framework is developed.     

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.