Networks and the Decision to Persist with Underperforming R&D Projects

Drawing on aspiration level theory and the networks literature, this paper develops a model toward decision makers' persistence with underperforming R&D projects based on the perceived properties of their personal network. The assumption is that positive feedback from network partners motivates persistence, and that this effect is multiplied when the decision makers' network is larger and denser, when network ties are predominantly strong, and when communication frequency within the network is high. The model is tested by a field experiment and conjoint methodology. Analysis of 1632 persistence decisions nested within 51 scientists responsible for R&D projects reveals that more positive feedback enhances persistence of underperforming R&D projects, and that this effect becomes stronger with increasing network size, network density, and communication frequency. These findings extend the project management literature by focusing on the social environment of the decision maker as one so far neglected factor in empirical studies on persistence decisions. Moreover, this study is among the first to investigate contingency relationships between feedback received from network partners and network structure. Finally, while most studies have emphasized that individuals and organizations can profit from their engagements in social networks, this paper suggests a potential dark side of networks by showing that networks can encourage decision makers to persist with their investment in an underperforming—and potentially failing—project. These results can help project managers involved in networking activities to better understand the effects of these activities on their decision policies, and thus draw better and more accurate decisions. Second, this study provides insights into how organizational strategy with respect to dissemination of R&D results and involvement of the organization's R&D managers in the scientific community influences the persistence of underperforming R&D projects, and thereby the organization's R&D expenditures. This can assist top managers to design financial controls and allocate financial resources to managers of underperforming R&D projects in line with the organization's networking strategy.     

An investigation of the influence of coping resources in salespersons' emotional exhaustion

Salesperson burnout continues to be a major concern among industrial marketing organizations. In this work, the authors examine whether certain coping strategies moderate the impact of work-related stressors on salesperson burnout; a previously unexamined area in the marketing literature. More specifically, this work examines if problem-focused coping and emotion-focused coping significantly moderate the impact of role stress (ambiguity, conflict) on feelings of emotional exhaustion in an industrial sales setting. Findings indicate that problem-focused coping strategies moderate the impact of role stress on salespersons' emotional exhaustion; actually reversing the overall impact from positive to negative. However, findings surrounding the moderating effect of emotion-focused coping are mixed, raising interesting questions for future research efforts.     

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.     

Structuring innovation funnels for R&D projects under uncertainty

An innovative R&D project that creates a great business opportunity usually involves high technological and market uncertainty. It is easy to see that developing only one solution approach in the R&D project is too risky. The selectionism or the parallel development strategy can be applied to construct an innovation funnel that increases the flexibility to hedge against the uncertainty. However, little research has been devoted to selection of which alternative solution approaches should be included for the innovation funnel. This research aims to develop a simulation-based methodology that can help R&D managers evaluate and construct an innovation funnel containing promising alternative approaches for a novel R&D project to maximize project profit, while minimizing downside risk within an allowable loss. A new risk measure based on the concept of conditional value-at-risk from the finance literature is defined to evaluate the project downside risk. An example of drug development project is used to illustrate the proposed methodology. We recommend that firms should improve their capabilities on market research, concept screening, and R&D efficiency for taking full advantages of selectionism.     

The budgeting process for R&D laboratories

The author had been associated with the writing of a short series of case studies into the process by which companies allocate their R&D budgets to individual departments or projects. A key question became the location of responsibility for determining the objectives of work under-taken in R&D, and also responsibility for the allocation of resources in R&D.
The cases revealed that decisions were taken by senior R&D managers at one extreme, and by marketing or production managers at the other, but also most often jointly between the functions with different weightings of authority. The parameter most clearly differentiating between the loci of responsibility was the project duration. This led to the development of a two dimensional diagram correlating the expected remaining duration of the project, with the locus of responsibility for its management.
It is expected that this model which fits current practice into a normative framework will enable organizations to review and adjust their present methods of coping with the complexities of R&D budgeting.     

Determinants of R&D–Marketing Integration in High-Tech Japanese Firms

Although the R&D/marketing interface has been extensively studied in U.S. firms, this article reports the results of a study of this important relationship in Japanese high-tech firms. Based on published studies of U.S. firms, Mark Parry and Michael Song hypothesize that Japanese R&D managers' perceptions of the ideal level of R&D/marketing integration will reflect perceptions of both their firm's strategy and environmental uncertainty. They also hypothesize that perceptions of the level of achieved R&D/marketing integration are related to perceptions of organizational structure and climate. To test these hypotheses, they examine the survey responses of 274 Japanese R&D managers. Their analysis suggests that R&D managers' perceptions of firm strategy and the level of environmental uncertainty are significantly correlated with the perceived need for integration. Findings also indicate that R&D managers' perceptions of achieved integration reflect perceptions of the quality of R&D/marketing relations, the value placed on integration by senior management, the business background of R&D personnel and the risk-orientation of senior management.     

Pricing real growth options when the underlying assets have jump diffusion processes: the case of R&D investments

Numerous previous studies have demonstrated that research and development (R&D) investments can be evaluated by a real growth options approach. However, few studies have constructed evaluating models which consider the important R&D characteristics, including uncertainty regarding the project value, investment cost, and jump diffusion processes. The contribution of this study is not only to derive a model for evaluating R&D investments to conform to these key characteristics of R&D activities but also to build a real option pricing method that is more general than comparative important models, such as the theoretical papers of Black and Scholes (1973), Merton (1976), and Fischer (1978), and the application paper of Brach and Paxson (2001). This study also presents sensitivity analyses which illustrate the dynamic relationship between the real growth option value and the project value, investment cost, and main jump parameters. Hopefully, the results of this study can provide a useful reference for managers, and help them make better evaluations of R&D investments.     

Exploring the Motivational and Behavioral Foundations of External Technology Experts’ Knowledge Sharing in Collaborative R&D Projects: The Contingency Role of Project Formalization

High‐tech manufacturers increasingly rely on the knowledge contributions of external technology experts (ETEs), who contribute to collaborative R&D projects on behalf of suppliers. Many scholars have considered knowledge sharing in R&D collaborations from a firm‐level or project‐level perspective and focused on formalization as a potential remedy. While individual supplier employees at the operative level make the decision to share critical knowledge, the individual‐level perspective in literature on knowledge sharing in collaborative R&D projects is virtually nonexistent. Because knowledge sharing in collaborative R&D is a largely discretionary act on behalf of the supplier employee, personal motivations rather than inter‐firm relationship elements (e.g., network position or dependency) become the primary determinant of one’s sharing behavior. Abstracting from or ignoring these motivations of supplier employees in studies on collaborative R&D may obscure important insights for R&D managers. This study is an important first step in providing the empirical evidence needed to uncover the motivational and behavioral foundations for ETEs’ knowledge sharing in a collaborative R&D setting. Building on theories of gift and social exchange, this article identifies customer stewardship and distributive fairness as two important personal motivations of ETEs to share knowledge. Project formalization is considered as a key contingency condition. Analyzing survey responses of 186 ETEs, a multilevel regression‐based moderated‐mediation analysis of direct and indirect effects shows that customer stewardship predicts an ETE’s knowledge sharing behavior under (very) low levels of project formalization, and distributive fairness predicts knowledge sharing behavior under medium to high levels of formalization. Together, the results provide R&D project managers who aim to leverage external knowledge contributions with valuable insights that have been obscured in past firm‐level collaborative R&D studies.     

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 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.     

An option approach to the new product development process: a case study at Philips Electronics

The paper considers the product development process as a series of (real) options with reducing uncertainty over time. Criteria are developed to decide on speeding up or delaying the development process. The paper demonstrates how, in the R&D phase, any particular project may be assigned within a 2 × 2 matrix of uncertainty versus R&D option value. A similar matrix can be established for the product launch phase. The matrices support portfolio management throughout the different phases of development and enable management to decide on an appropriate point at which to abandon individual projects. The approach originates from applying real options insights into the product development process at Philips Electronics. The paper is illustrated with some actual R&D projects.     

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.     

Economic compensation compositions preferred by R&D personnel of different R&D types and intrinsic values

In order to enhance R&D performance, R&D managers make sure that R&D personnel are satisfied with their compensation, both economic and non–economic . An R&D compensation scheme would consist of many complex factors. In this research, we focus on 'compensation composition' as such a factor for the economic compensation system, i.e., the mix of compensation components such as team (or organization) performance based, individual (R&D personnel) performance based, and fixed (seniority based) portion of economic compensation. As part of non–economic compensation, intrinsic values such as social status and self–actualization perceived by the R&D personnel are influencing their level of satisfaction with the entire compensation system. Another critical factor we consider here is the difference in R&D types: there are three R&D types, i.e., basic, applied , and commercial R&D . We put forth two sets of propositions. First, there is statistically significant correlation among R&D personnel's job satisfaction, performance measurement satisfaction, and compensation satisfaction. Second, depending on the types of their R&D activities, R&D personnel prefer a certain composition of economic compensation. In addition, the relationships are mediated by whether the R&D personnel feel intrinsic values of their jobs.     

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.     

Does board social capital influence chief executive officers' investment decisions in research and development?

The findings of the chief executive officer (CEO) characteristics–research and development (R&D) investment relationship remain incomplete if previous unexamined contingencies are not considered. Very few studies in this area have invariably focused on the constraints from the external environment and overlooked the important influence of board social capital on such relationship. This study uses insights from resource dependence theory to examine how the effects of CEO characteristics on R&D investment are contingent on board social capital. The results show that board social capital mitigates/enhances the negative/positive effect of CEO tenure/CEO educational level on R&D investment, supporting the view that board social capital, as an important conduit to link firms to critical information and essential resources in the environment, may offer better counsel to CEOs and enhance their decision‐making capabilities in moving toward R&D. One important implication is that firms wishing to encourage innovation through R&D spending should consider nominating directors with rich social capital to the board because they may assist CEOs in coping with R&D complexities and acquiring requisite resources, leading to a better planning of R&D.     

The Role of Departmental Thought Worlds in Shaping Escalation of Commitment in New Product Development Projects

The debate over whether and how thought worlds of different departments (especially marketing and research and development [R&D]) affect managers' decision-making behavior in new product development (NPD) is ongoing. A key challenge of these decisions is to deal with deteriorating NPD projects, which are often subject to escalation of commitment (EoC), with many firms wasting billions of dollars by throwing good money after bad NPD projects. However, understanding departmental thought worlds and their role for EoC in NPD could help firms stop this profusion. Thus, this research provides answers to the question of how thought worlds affect managers' tendency toward EoC in NPD decision-making—both in general and under certain project characteristics. To do so, we conducted four studies based on real-life scenarios with 460 highly experienced NPD managers from marketing and R&D, thus ensuring high validity and reliability. Our research is the first to explore the impact of thought worlds on EoC, thereby detecting that the importance of managers' thought worlds for shaping EoC varies with the NPD project's characteristics. Thus, depending on the specific project situation, different types of managers may be more or less capable of making proper NPD decisions. Moreover, results show that belief updating serves as a respective key mediator. Doing so enriches the theory by showing that managers' thought worlds can substantially influence a major mechanism (i.e., belief updating) of coping with cognitive dissonance. Finally, post hoc tests reveal departmental differences in EoC behavior between marketing and R&D that vary with a project's characteristics. These results imply that firms need to carefully consider who is in charge of making decisions on NPD project continuance in different project situations.     

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.      

Evolving schemes of interpretation: investigating the dual role of architectures in new product development

Should product architectures be considered inputs to – or outputs from – new product development (NPD)? Whereas the mirroring hypothesis suggests the former, NPD stage models suggests the latter. Elaborating on these conflicting propositions, this paper analyses the relationships between product architectures and development processes in NPD projects. The analysis demonstrates how project managers use product architectures to interpret their tasks and devise appropriate responses to perceived challenges. Thus, architectures provide useful linkages between knowledge development and organisational change in R&D organisations.     

The Credibility–Cooperation Connection at the R&D-Marketing Interface

Research and development (R&D) managers' perceptions of both marketing information and marketing managers are analyzed using an information and source credibility framework. The findings are based on a study of R&D directors in 80 technology-intensive companies and focus on activities and interactions during the new product development process. The authors found that the R&D managers' perceptions differed significantly in high and low integration companies. These perceptions also were influenced by various organizational practices. The R&D-marketing cooperation was highest where organizational practices were conducive to cooperation and R&D perceived marketing input as credible. Several implications for creating a corporate climate conducive to interfunctional cooperation are developed.     

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.