Flexibility planning for managing R&D projects under risk

Incorporating managerial flexibility in an innovative R&D project is important, because managers face greater uncertainty in today's competitive and dynamic changing environment. It is essential to bring managerial flexibility into R&D project planning to decrease technical and market risks, while increasing potential market value. The objective of this paper is to develop a flexibility planning methodology based on real option analysis to improve managerial flexibility for R&D projects. The proposed methodology identifies potential risks that may occur during every R&D stage. It also recognizes a cascading option structure to resolve the identified risks, and evaluates and selects adequate options that maximize the potential value of the project. Instead of using a traditional option pricing method, a dynamic programming model that considers multidimensional product performance and market payoff is used to evaluate the R&D project value. Using the proposed methodology, managers can identify future scenarios as a function of their management actions. The proposed flexibility planning methodology can help managers improve managerial flexibility of R&D project and increase the success rate of product launch. A drug development project is used to illustrate the proposed methodology.     

Antecedents of open innovation at the project level: empirical analysis of Korean firms

The concept of open innovation has recently gained wide academic attention, as it seems to have significant impact for company performance. Most empirical investigations about this emerging concept have been case studies of successful early adopters of open innovation, and their analyses have largely been at the company level. Although case studies at that level provide meaningful implications, the new phenomena merit a more in‐depth examination: that is, we need to collect and analyze data on multiple companies to explore more systematic findings about open innovations across companies. Moreover, analyses may need to go down to the individual project rather than the whole company level because innovation activities are often conducted as part of research and development (R&D) projects. To meet these needs, this study examines companies' open innovation efforts at the level of the individual R&D project. Specifically, the present study focuses on project‐level openness to better understand the mechanisms of open innovation. It explores systematic relationships between various antecedent factors and the degree of openness. Project‐level openness could be affected by team and task characteristics, such as team size, learning distance, strategic importance, technology and market uncertainty, and relevance to the main business. Relevant data collected from 303 companies in Korea were used to identify the antecedents that affect inbound and outbound openness. The research findings are expected to help provide a concrete theoretical framework suited for more generalized application and further practical development of open innovation strategy.     

Market uncertainty and the monopolist incentive to innovate

A monopolist who undertakes R&D projects and faces demand uncertainty in the product market may either underproduce output and overinvest in R&D or underproduce and underinvest in R&D in comparison with the deterministic case. The actual outcome depends on the nature of process innovation and on the monopolist's attitude toward risk.     

Business R&;D and the Interplay of R&;D Subsidies and Product Market Uncertainty

This paper examines the effect of product market uncertainty and government research and development (R&D) subsidies on firm-level R&D investment. Using a sample of German manufacturing firms, we find that product market uncertainty reduces R&D investment and government R&D subsidies increase R&D investment. Moreover, our results indicate that R&D subsidies mitigate the effect of product market uncertainty on R&D investment. These findings suggest that public policies aimed at increasing business R&D investment can achieve this objective by reducing the degree of uncertainty in the product market.      

Principal researcher and project manager: who should drive R&D projects?

In this paper, it is analyzed the hypothesis that in R&D the principal researcher (PR) is accepted as the coordinator or project manager (PM), carrying out the search for financing and to manage contracts, resources, cost, time, scope, risk and uncertainty, communication, stakeholders and so on, in addition to internal research activities. Thus, this study tries to verify this hypothesis through a major literature review in different types of projects developed by university, but also with a look to industry and industry-university cooperation. Two case studies are also analyzed, centered in its R&D project management maturity level. It is concluded that there is an important issue in projects’ success and in the time spent by PR in management, work for which they are under trained; while at the industry there is a greater approach to project management by the proximity of the innovation projects to other industrial projects. Following these initial findings and according to the case study results, it is proposed that R&D Projects in universities would be separated into two synergistic knowledge areas: R&D Management and Project Management. It is also recommended to allocate them to two distinct roles, where they could add value to R&D through their better knowledge and skills.     

Why and How Combining Strong and Weak Ties within a Single Interorganizational R&D Collaboration Outperforms Other Collaboration Structures

The purpose of this paper is to demonstrate why and how an ambidextrous interorganizational R&D collaboration outperforms other collaboration structures in the creation of innovation. This research effort contributes to a growing stream of research in social network theory suggesting that the contradictory theories of the strength of weak ties and weak network structures on the one hand and the theory of strong ties and closed network structures on the other have a mutually reinforcing effect on innovation outcomes if combined rather than considered separately. An in‐depth exploratory single case study approach within an innovatively organized national R&D collaboration allowed giving further evidence for such a superior innovation performance and for this research to contribute to theory by demonstrating why and how such a combination may lead to higher innovation output and how this effect can be actively reinforced. It is suggested that the combination of strong and weak ties should occur at the individual rather than at the project or firm level. The authors distinguish between the additive effects of the respective innovation benefits of strong and weak ties, a positive interaction effect in the portfolio of dyadic ties of an individual and a second multilevel interaction effect of weak ties embedded in the ambidextrous network structure. Referring to previous empirical findings, intellectual property regulation and structural interdependency between network members showed a higher impact than trust with regard to leveraging weak ties and are important sources for achieving the multilevel interaction effect. Managerial implications of this research are that a large network will outperform several smaller, independent networks given that the right structure and processes are in place. Direct implications for the architecture of an ambidextrous R&D collaboration are discussed, and a framework for a new form of technology R&D collaboration called “semi‐open organization” is presented, which places itself between the extremes of traditional R&D in closed organizations and completely “open innovation” approaches.     

The derivation of R&D return indicators within a real options framework

The purpose of this paper is to rework the building blocks of real option applications and to introduce a basket option framework. We find that the characteristic parameters of the risk neutral density function implied in observed share prices within the real option framework represent a novel category of R&D return indicators. Empirical evidence for a set of 13 US bio-pharmaceutical companies is provided. The novel R&D return indicator can be used to analyse investor's expectations on R&D success of a particular firm. The implications of this indicator on decision making are mainly based on its information content on technological and market risk of the products under development in a particular firm. A proposal for a potential application of the stability index in innovation research is discussed as well. The study thus is at the interface between innovation research and (empirical) finance.     

MEASURING ORGANIZATIONAL DOWNSIDE RISK

Despite widespread incorporation of risk measures in strategy research, there is little consensus regarding the meaning and measurement of risk. In contrast to the variability measures widely used in strategy studies, this paper draws from behavioral decision theory, finance, and management theory to present an alternative perspective on organizational risk—downside risk. The paper explains three categories of organizational downside risk measures based on the concept of lower partial moments. The latter sections of the paper present considerations involved in specifying operational measures of downside risk and an empirical comparison of alternative downside risk measures.     

An explanation of R&D decision processes through individual information processing preferences

Creative fluency in the R&D department can be enhanced by understanding the decision processes and information needs of the individuals involved. Through a recognized construct of cognitive style, we examine the R& budgeting and project selection process with respect to innovation, project acceptance, and organizational harmony. We suggest that many of the conflicts and inefficiencies of an R&D department can be explained and prevented by recognizing the innate problem-solving differences between scientists and managers.     

Using mean-Gini and stochastic dominance to choose project portfolios with parameter uncertainty

Although a variety of models have been studied for project portfolio selection, many organizations still struggle to choose a potentially diverse range of projects while ensuring the most beneficial results. The use of the mean-Gini framework and stochastic dominance to select portfolios of research and development (R&D) projects has been gaining attention in the literature despite the fact that such approaches do not consider uncertainty regarding the projects’ parameters. This article discusses, with relation to project portfolio selection through a mean-Gini approach and stochastic dominance, the impact of uncertainty on project parameters. In the process, Monte Carlo simulation is considered in evaluating the impact of parametric uncertainty on project selection. The results show that the influence of uncertainty is significant enough to mislead managers. A more robust selection policy using the mean-Gini approach and Monte Carlo simulation is proposed.     

The influence of voluntarily disclosed qualitative information

We examine the voluntary disclosure of qualitative information about actions involving governmental agencies and managerial intentions or beliefs in R&D project announcements in The Wall Street Journal. Our analysis indicates that information regarding government approval and managerial intentions/beliefs voluntarily disclosed in R&D project announcements interacts with industry/firm variables to provide significant incremental explanatory power in both the innovation and commercialization stages of R&D projects. Our data also indicate that the biggest impact is from managerial intentions, especially an intent to increase market share when coupled with being a larger firm. Copyright © 2000 John Wiley & Sons, Ltd.     

Strategies for Linking Vertical Cooperative R&D to Commercialization in Korea

Since 1982, the government of Korea has actively promoted vertical cooperative R&D programs between government-sponsored research institutes (GRIs) and private firms. A number affirms participated in the programs because cooperative R&D could lower the risk and could contribute to rapid commercialization of many technologies. In this article, Chulwon Lee, Zong-Tae Bae, and Jinjoo Lee examine the effectiveness of participant firms' strategies for commercial utilization of cooperative R&D results, from the viewpoint of technology sourcing at the project level. The data have been obtained from 162 cases of vertical cooperative R&D projects from a diverse group of industries in Korea. Three different commercialization strategies are empirically derived through cluster analysis of the relative usage rates of cooperative R&D and of other supplementary technology acquisition methods. They find that the effectiveness of these strategy clusters varies significantly according to the types of innovation, that is, project-business relatedness. If the project belongs to an existing business area, in-house development augmented cooperative R&D strategy is the most effective. On the other hand, licensing-in supplemented cooperative R&D strategy is the most successful, if the project belongs to a new business area. Findings suggest that firms participating in cooperative R&D projects should try to utilize other supplementary technology acquisition methods in order to achieve commercial utilization of cooperative R&D results.     

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.     

Empirical Evidence on the Success of R&;D Cooperation—Happy Together?

In this paper we analyse the effect of past R&D cooperation on current firms’ innovation performance. Success measures are: sales of innovative products, distinguishing between products new to the firm and new to the market, and cost reductions due to innovative processes. Particular attention is paid to the impact of different cooperation partners. The analysis rests on firm-level data of the annual German innovation survey. We find that R&D cooperation with competitors leads to greater cost reductions that are attributable to innovative processes. R&D cooperation with research institutes has a positive influence on a firm’s economic success with market novelties.      

The strategic dilemmas of innovative enterprises: proposals for high‐technology sectors

High levels of research and development (R&D) expenditure, pressure for innovation and the creation of new knowledge are features that distinguish high‐technology (high‐tech) enterprises from other, less technologically advanced, firms. Confronted with multiple contemporary approaches to strategy and turbulence in their environment, these enterprises make strategic choices continuously and dynamically. This paper proposes a model and matrix for the classification of high‐tech enterprises’ development strategies (with regard to their specific features), which are then verified. Qualitative research was conducted in 61 medium and large high‐tech companies based in Poland that operate either in Poland or in the global marketplace. The results show that high‐tech firms have the fundamental goal of developing R&D activity as a resource (and its redundancy) rather than product/market goals. The studied firms strive above all for leadership in innovation, creating new technologies based on their own R&D resources, while also using outside sources and mostly applying the personalisation approach in knowledge management. However, they choose different paths for product and market development, depending on the opportunities presented by the environment, and the firm's ability to identify and take advantage of these.     

R&D Partnerships and Innovation Performance: Can There Be too Much of a Good Thing?

R&D collaboration facilitates the pooling of complementary skills, learning from the partner as well as the sharing of risks and costs. Research therefore stresses the positive relationship between collaborative R&D and innovation performance. Fewer studies address the potential drawbacks of collaborative R&D. Collaborative R&D comes at the cost of coordination and monitoring, requires knowledge disclosure, and involves the risk of opportunistic behavior by the partners. Thus, while for lower collaboration intensities the net gains can be high, costs may start to outweigh benefits if firms perform a higher share of their innovation projects collaboratively. For a sample of 2735 firms located in Germany and active in a broad range of manufacturing and service sectors, this study finds that increasing the share of collaborative R&D projects in total R&D projects is associated with a higher probability of product innovation and with a higher market success of new products. While this confirms previous findings on the gains for innovation performance, the results also show that collaboration has decreasing and even negative returns on product innovation if its intensity increases above a certain threshold. Thus, the relationship between collaboration intensity and innovation follows an inverted‐U shape and, on average, costs start to outweigh benefits if a firm pursues more than about two‐thirds of its R&D projects in collaboration. This result is robust to conditioning market success to the introduction of new products and to accounting for the selection into collaborating. This threshold is, however, contingent on firm characteristics. Smaller and younger as well as resource‐constrained firms benefit from relatively higher collaboration intensities. For firms with higher collaboration complexities in terms of different partners and different stages of the R&D process at which collaboration takes place, returns start to decrease already at lower collaboration intensities.     

Decision Analysis and Strategic Management of Research and Development: A comparison between applications in electronics and ethical pharmaceuticals

The process of strategic management of research and development is contrasted through the application of decision analysis in the evaluation of R&D projects—one in an electronics company, and one in a pharmaceutical company.
Issues considered include the different character of applied R&D in each industry resulting from, for example, the shorter product lifecycles that apply to the electronics industry compared to the much longer lifecycles in the pharmaceutical industry. The difference of time horizon between the two industries suggests that different decision criteria might be adopted in project evaluation. Decision-makers in both industries express a need for flexible decision and performance criteria in relation to strategy dialogue about alternative project-options.
Implementation problems encountered include: long term discounting, the nature of the preference function for long-term cash flow streams, issues in making assessments of uncertainty in relation to long-term future time horizons, and the management of research portfolios.     

Managing uncertain,complex product development in high‐tech firms: in search of controlled flexibility

This paper investigates ways of managing complexity and uncertainty in R&D simultaneously. Previous research on the subject indicates that these dimensions require different approaches, but these studies tend to provide suggestions either on managing complexity in stable industries or on handling uncertainty in less complex projects. In this paper, the two dimensions are studied simultaneously in three commercial product development projects at a firm that may be viewed as an extreme case of complexity and with multiple dimensions of uncertainty. The paper illustrates that a critical issue in this kind of high‐tech development is the search for and development of approaches that integrate and balance needs for formal organizational control with high levels of project flexibility. Four key elements of such integrated approaches are identified: hybrid formal systems, structured interaction in public arenas, transparent visual communication tools, and a system of participative reflection.     

Social capital and creativity in R&D project teams

The existing research contributes to our understanding about the value of social capital in a wide range of social science disciplines; however, it does not well address the role of social capital in creativity for research and development (R&D) project teams in a given context. Using a sample of 54 R&D project teams in high-technology firms of Taiwan, we examined the impacts of social capital on creativity of R&D project teams from an intra-team perspective. Results of factor analysis revealed four factors extracted from the concept of social capital, namely social interaction, network ties, mutual trust, and shared goals. Findings suggested that social interaction and network ties had significant and positive impacts on creativity of R&D project teams, but mutual trust and shared goals did not. Managerial implications for managing social capital in R&D project teams are discussed.