Building Dynamic Capabilities in New Product Development through Intertemporal Integration

Although successful development of a given product may help explain the current success of a firm, creating longer‐term competitive advantage demands significantly more attention to developing and nurturing dynamic integration capabilities. These capabilities propel product development activities in ways that build on and develop technological and marketing capabilities for future product development efforts and create platforms for future product development. In this article, we develop a conceptual model of a dynamic integration process in product development, which we call intertemporal integration (ITI). In its most general form ITI is defined as the process of collecting, interpreting, and internalizing technological and marketing capabilities from past new product development projects and incorporating that knowledge in a systematic and purposeful manner into the development of future new products. Research propositions outlining the relationship of ITI to performance are presented. We provide specific examples of managerial mechanisms to be used in implementing ITI. We conclude with implications for research and practice. Effective management of ITI can increase new product development success and long‐term competitive advantage. This implies that management needs to engage in activities that gather and transform information and knowledge from prior development projects so that it can be used in future development projects. Project audits, design databases in computer‐aided design (CAD) systems, engineering notebooks, collections of test and experimental results, market research and test market results, project management databases, and other activities will all be important in the acquisition of knowledge from prior new product development (NPD) projects. Managers also should initiate the creation and maintenance of databases of technical and marketing information from prior projects, job performance reports, seminars and workshops related to technological issues and advances, and publication of technical journals to assist in the process of knowledge acquisition. Similarly, techniques such as assigning project managers from earlier development projects, reusing key components and technologies, and developing a company‐wide methodology for managing projects can be used to boost the application and use of knowledge.     

NPD Planning Activities and Innovation Performance: The Mediating Role of Process Management and the Moderating Effect of Product Innovativeness

The aim of this study is to investigate the effects of planning and control on the performance of new product development (NPD) projects. It is hypothesized that (1) thorough business planning at the beginning of a project creates a basis for proficient project and risk planning; (2) the proficiency of project planning, risk planning, and process management activities each improves innovation performance directly; (3) the relationship of planning and success is mediated by process management; and (4) the strength of these relationships is moderated by uncertainty, as determined by the degree of innovativeness. To test the hypotheses, data from 132 NPD projects were collected and analyzed. A measurement model was used to establish valid and reliable constructs, a path model to test the main effects, and a multiple-moderated regression analysis for the moderator hypotheses. The results suggest that the proficiency of project planning and process management is important predictors of NPD performance. Specifically, project risk planning and goal stability throughout the development process are found to enhance performance significantly. Business planning proves to be an important antecedent of the more development-related planning activities such as project planning and risk planning. Additionally, the results lend support to the hypotheses regarding the mediating role of process management in the planning–performance relationship. Project planning and risk planning support the quality of process management and thus impact NPD performance indirectly. Only to a limited extent are the strengths of these relationships moderated by the degree of innovativeness of the NPD project.     

Contributing beyond the call of duty: examining the role of culture in fostering citizenship behavior and success in project-based work

Shifting goals, priorities and evolving customer demands require an exceptional effort, beyond the call of duty, on the part of employees to increase the likelihood for successful implementation of technologically driven projects. Our model posits that citizenship behavior, which captures individuals' behavior that goes above and beyond prescribed roles, effects project success and is influenced by the culture that exists in the project. We provide support for the model utilizing 222 participants in 71 product development, IT implementation and engineering projects, originating in firms from various industries in the United States using structural equation modeling. Owing to the constraints typically facing project managers, in terms of personnel availability and control over rewards, our findings suggest that project culture can be used by managers as an alternative lever to trigger employees' citizenship behavior, which in turn drives success. We provide valuable implications for individuals assigned to lead projects, who are concerned with aligning project culture with citizenship behavior, as part of their planning activities.     

Does Strategic Planning Enhance or Impede Innovation and Firm Performance?*

Does strategic planning enhance or impede innovation and firm performance? The current literature provides contradictory views. This study extends the resource‐advantage theory to examine the conditions in which strategic planning increases or decreases the number of new product development projects and firm performance. The authors test the theoretical model by collecting data from 227 firms. The empirical evidence suggests that more strategic planning and more new product development (NPD) projects lead to better firm performance. Firms with organizational redundancy benefit more from strategic planning than firms with less organizational redundancy. Increasing R&D intensity boosts both the number of NPD projects and firm performance. Strategic planning is more effective in larger firms with higher R&D intensity for increasing the number of NPD projects. The results reported in this study also consist of several findings that challenge the traditional views of strategic planning. The evidence suggests that strategic planning impedes, not enhances, the number of NPD projects. Larger firms benefit less, not more, from strategic planning for improving firm performance. Larger firms do not necessarily create more NPD projects. Increasing organizational redundancy has no effect on the number of NPD projects. These empirical results provide important strategic implications. First, managers should be aware that, in general, formal strategic planning decreases the number of NPD projects for innovation management. Improvised rather than planned activities are more conducive to creating NPD project ideas. Moreover, innovations tend to emerge from improvisational processes, during which the impromptu execution of NPD activities without planning spurs “thinking outside the box,” which enhances the process of creating NPD project ideas. Therefore, more flexible strategic plans that accommodate potential improvisation may be needed in NPD management since innovation‐related activities cannot be planned precisely due to the unexpected jolts and contingencies of the NPD process. Second, large firms with high levels of R&D intensity can overcome the negative effect of strategic planning on the number of NPD projects. Specifically, a firm's abundant resources, when allocated and deployed for NPD activities, signal the high priority and importance of the NPD activities and thus motivate employees to acquire, collect, and gather customer and technical knowledge, which leads to creating more NPD projects. Finally, managers must understand that managing strategic planning and generating NPD project ideas are beneficial to the ultimate outcome of firm performance despite the adverse relationship between strategic planning and the number of NPD projects.     

An Empirical Study of Platform and Derivative Product Development Projects

Many firms now realize the importance of planning product families and product platforms. However, little research addresses planning and execution of different types of projects within a product family platform series. This study investigates project characteristics, development challenges, typical outcomes, and success factors for product development projects at different locations in the product family spectrum. “Platform” projects result in products that initiate a new product family platform for a company. “Derivative” projects result in products consisting of extensions to an existing product family platform. Data on 108 new product development projects from a variety of assembled products industries were collected via a detailed survey and analyzed. Findings indicate that: (1) platform and derivative projects differ in project task characteristics (including the amount of new technology development undertaken and project complexity) and market newness; (2) platform and derivative projects generally do not differ in terms of project success (achievement of project objectives, level of company satisfaction, and perceived customer satisfaction) or smoothness of project execution; (3) both platform and derivative projects generally are executed in similar ways; (4) certain managerial approaches (including contingency planning, project-based evaluation of personnel, and overlap of design and manufacturing engineering) are associated with higher project execution success for both platform and derivative projects; and (5) use of interdependent technologies and novel project objectives are associated with project execution failure for platform projects. The results suggest that firms can continue to employ a single product development management process for both platform and derivative projects, as long as modest customization of the process is made for the given project type. Completely different management processes are not required. In all, the results presented in this article suggest specific managerial actions companies can take to significantly improve product development success. © 1999 Elsevier Science Inc.     

Linking learning and knowledge creation to project success in Six Sigma projects: An empirical investigation

This study investigates the impact of two organizational antecedents, (1) Six Sigma resources (technical) and (2) team psychological safety (social), on learning behaviour and knowledge creation and, in turn, on the success of Six Sigma process improvement projects. The paper proposes an integrated model to explain process improvement implementation success through two learning activities undertaken by Six Sigma project teams: Knowing-what and Knowing-how. The conceptualization of these knowledge types in this research is different from usual conceptualization as it represents the knowledge brought into projects through various phases of Six Sigma projects. The three hypotheses proposed in the model were tested using the data collected from 52 Six Sigma project teams from a single organization. Regression analysis showed psychological safety affects project performance through knowing-how. Regression and bootstrapping analyses showed resources influence project performance through the combined mediation of knowing-what and knowing-how.The paper provides an interdisciplinary treatment of knowledge management in process improvement teams, and offers a research model demonstrating how Six Sigma project teams promote deliberate organizational learning. By doing so, this study empirically establishes the notion that technical and social supports jointly impact the success of operations management initiatives such as Six Sigma through learning. The limitations of the study along with the future research directions are highlighted.     

Technological collaboration in the korean electronic parts industry: patterns and key success factors

This study empirically examines different patterns of collaborative technological development projects and the key success factors (KSFs), using data from 82 projects in the Korean electronic parts industry. The patterns of technological collaboration were categorized into 4 types by two contingency variables: development motive (technology–push or market–pull) and source of initiation (focal firm– or partner–initiated). The bivariate relationships revealed that project characteristics (technological complexity, demand certainty, and financial support of the government), partner characteristics (the level of trust with partners), and collaborative management practices (commitment of the focal firm, and information sharing in the collaboration process) appear to be different depending on the two contingency variables. Each type of collaborative R&D project also had different KSFs. While diverse characteristics like strategic importance, goal compatibility and information sharing with partners are critical for the success of technology–push projects, just only specificity of collaboration process and outcome appears important to the success of demand–pull projects. For focal firm–initiated projects, project characteristics are KSFs, whilst partner characteristics and collaboration management practice are found to be more critical for the success of partner–initiated projects. The findings suggest that the different contingencies such as development motive and source of initiation bring about different patterns of collaborative technology development projects, which in turn lead to a different set of KSFs, since different information, roles of partners and the focal firms, and collaboration management practices are needed to successfully implement the different types of projects. Based on empirical results, this study discusses managerial, policy, and theoretical implications for the collaborative R&D activities taking place in the Korean electronic parts industry.     

Robotics projects and learning concepts in science, technology and problem solving

This paper presents a study about learning and the problem solving process identified among junior high school pupils participating in robotics projects in the Lego Mindstorm environment. The research was guided by the following questions: (1) How do pupils come up with inventive solutions to problems in the context of robotics activities? (2) What type of knowledge pupils address in working on robotics projects? and (3) How do pupils regard or exploit informal instruction of concepts in science, technology and problem solving within a project-based program? Data collection was made through observations in the class, interviews with the pupils, observations of the artifacts the pupils had constructed, and analyses of their reflections on each project. The study revealed that the pupils had often come up with inventive solutions to problems they tackled by intuitively using diverse kinds of heuristic searches. However, they encountered difficulties in reflecting on the problem solving process they had used. In robotics projects, the pupils deal primarily with qualitative knowledge, namely, the ability to identify specific phenomena in a system or factors that affect system performance. The study also showed that pupils are likely to benefit from implementing informal instruction on concepts in science, technology and problem solving into a project-based program. This type of instruction should take place in the context of pupils’ work on their projects, and adopt a qualitative approach rather than try to communicate in the class procedural knowledge learned by rote.     

Improving Supplier New Product Development Performance: The Role of Supplier Development

Suppliers play an increasingly central role in helping firms achieve their new product development (NPD) goals. The literature implicitly assumes that suppliers are able to meet or exceed the quality standards and technological expectations of the firm, and yet, in practice, suppliers often lack the technological capabilities needed to undertake collaborative NPD. In such situations, a firm may choose to intervene and actively develop the supplier's technological and product development capabilities. We develop a theoretical framework that conceptualizes supplier development activities within interorganizational NPD projects as part of a bilateral knowledge‐sharing process: design recommendations, technical specifications, and new technology flow from supplier to the firm, and in turn, the firm can implement supplier development activities to upgrade the supplier's technological capabilities. Antecedents (supplier responsibility, skills similarity, single sourcing strategy) and consequences of supplier development activities (on supplier, product, and project performance) are examined using a sample of 153 interorganizational NPD projects within UK manufacturers. We find broad support for our hypotheses. In particular, we show that the relational rents (in the form of improved product and project performance) attained from supplier development activities in new product development are not achieved directly, but rather indirectly, via improvements in the supplier's creative and technological capabilities. Our results emphasize the importance of adopting a strategic view of the potential returns available from investing in the NPD capabilities of key suppliers, and provide clues about underlying reasons for the suboptimal experiences of many companies' collaborative NPD projects.     

How Does Technological Regime Affect Performance of Technology Development Projects?

In this study, we examine how technological regime affects the performance of technology development projects (i.e., project quality, sales, and profit). Technological regime is defined as the set of attributes of a technological environment where the innovative activities of firms take place. Technological opportunity, appropriability of innovations, cumulativeness of knowledge and capabilities, and closeness of knowledge base to basic sciences (versus applied sciences) are attributes of technological regime. Using data from 381 firms across five industries, we show that high levels of technological opportunity, appropriability, and closeness of knowledge base to basic sciences are associated with higher project performance. Cumulativeness is associated with higher project quality, but not higher sales and profit. We also show that the effect of technological opportunity on project performance is moderated by two other determinants of technological regime: cumulativeness and nature of knowledge base. We find that cumulativeness has a negative moderating effect on the positive relationship between technological opportunity and project performance, while closeness of knowledge base to basic sciences positively moderates the effect of technological opportunity on project performance. We discuss the implications of our findings for new product development research and practice.     

Planning and uncertainty in new product development

The domain of New Product Development (NPD) is subject to considerable uncertainties. Aside from market‐related sources of uncertainty, the degree of innovativeness of the underlying product concept is a significant source of uncertainty, as unclear goals and specifications like, e.g. product specifications may lead to substantial delays in the project. However, companies are required to manage the innovation process as efficiently as possible. The resulting conflicting demands often leave companies struggling to achieve both efficiency as well as flexibility due to their often opposing implications for organizing and managing NPD projects. In this context, planning plays a central role; however, its usefulness for NPD project success is perceived quite differently. While there are reports about a positive influence of initial planning on various success measures, others have questioned the effectiveness of elaborated initial planning and contend that the ability to rapidly react to changes later in the process and to improvise may lead to success in NPD. This study aims at achieving a better understanding of planning in NPD by investigating a sample of 475 Research & Development projects in Japanese electrical and mechanical engineering companies. Regression analysis is used to shed more light on the interplay of planning intensity, changes, and the degree of technological newness of the NPD project and their influence on project success. Our results indicate planning to be of value for different types of innovation projects. Furthermore, the influences of the variables in question vary with the success measures that are taken into account, indicating that a more detailed and contingent understanding of planning in NPD needs to be developed.     

Antecedents and Consequences of Unlearning in New Product Development Teams

Unlearning, which first appeared almost 30 years ago as a subprocess of the organizational learning process, has received only limited attention in the literature. Rather than building on empirical research, the existing scholarship is largely anecdotal, aimed at reviewing the literature and generating new insights. Further, unlearning studies tend to analyze the organizational level and neglect smaller units such as work groups and teams. To address this gap in the understanding of unlearning, this article empirically investigates unlearning in work groups in general and new product development (NPD) teams in particular. This study, based on the literature of organizational memory and change, operationalized team unlearning as changes in beliefs and routines during team‐based projects and then discussed the importance of unlearning behavior in NPD teams. Specifically it was argued that unlearning guards beliefs and routines against rigidity to cope with environmental turbulence. This is of particular note when rigid product development procedures and group beliefs inhibit the reception and evaluation of new market and technology information and reduce the value of perceived new information. To test the antecedents and consequences of the team unlearning model, 319 NPD teams were investigated. Using structural equation modeling, it was found that (1) team crisis and anxiety have a direct impact on team unlearning; (2) environmental turbulence also has a direct impact on both team crisis and anxiety and team unlearning; and (3) after team beliefs and project routines have changed, implementing new knowledge or information positively affects new product success. Specifically, the findings revealed that changes in team members' collective beliefs in accordance with environmental changes and the in‐process planning or adjustment of project work activities and procedures as the projects evolve enable teams to develop and launch new products successfully. Also, results indicated that team crisis and anxiety in NPD projects assist team members in revising their previous beliefs and routines when project teams are performing in turbulent environments. This article suggests that managers can enhance team unlearning by (1) creating a sense of urgency by introducing an artificial crisis; and (2) avoiding the groupthink phenomena by bringing in an outsider to challenge existing policies and procedures, and training the team on lateral thinking. In addition, managers can plan project activities in a flexible manner that allows changes as the project evolves to facilitate team unlearning. However, managers should also be cautious when promoting team unlearning. Without careful and considerable evaluation, change in beliefs and routines can cause information/knowledge loss.     

What Distinguishes the Top Performing New Products in Financial Services

Despite previous comparisons of success and unsuccessful new products, an Important question remains unaddressed: What separates very successful new service products from the ordinary? Robert Cooper, Christopher Easingwood, Scott Edgett, Elko Kleinschmidt, and Chris Storey obtained data on 173 new financial services and identified three performance dimensions: financial performance, relationship enhancement, and market development. Of eleven potential success determinants, nine were found to be drivers of performance. Management implications included the need for a market-driven, customer-focused new product process, greater emphasis on planning and executing the launch, the role of product design, and project prioritization factors.     

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.     

Factors determining municipal broadband strategies across Europe

Recognizing that high-speed broadband connectivity emerges as a key element for growth, city authorities engage in fiber access deployments to empower their local communities in the digital economy. Currently, a growing number of municipal fiber projects are underway or planned while the international community and the telecommunications industry are yet undecided about the role and type of municipal intervention. This paper takes a holistic view of municipal broadband in Europe, aiming to understand the factors that determine municipal strategies in fixed Next-Generation Access (NGA) networks and the implications of municipal broadband to regulation and markets. The data suggests that the determining factors are (a) the engagement of public utilities; (b) the involvement of the private sector in joint infrastructure projects; (c) the local demand for retail and wholesale services; and (d) the institutional and regulatory framework at the European and national scale. The findings of the study indicate that (a) municipal initiatives are highly dependent on national factors, thus the resulting interventions fare strong resemblance within a single country, while they can be substantially different across national contexts; (b) current EU provisions for public involvement in broadband development stimulate municipal plans for large scale arrangements; and (c) national regulatory frameworks, that primarily address vertical integrated incumbents and nationwide markets, may need adjustments to handle emerging access monopolies of regional and city broadband infrastructures.     

Urban crowdsourcing: Stakeholder selection and dynamic knowledge flows in high and low complexity projects

Urban crowdsourcing is a new form of open innovation that aims to develop smart cities. Due to the heterogeneity of partners in urban planning, knowing the type of knowledge gained from each stakeholder at each stage of the crowdsourcing process needs to be understood for effective collaborations and innovative knowledge flow activation. Using a qualitative approach with experts involved in the Casablanca Smart City project, this research investigates complex multi-stakeholder ecosystems. More specifically, this study identifies and examines the role of external stakeholders at each stage of the innovation process, and the resulting dynamic knowledge flows that help improve the process of urban crowdsourcing in the development of smart city solutions. Depending on the complexity of the innovation project, findings identify three primary stakeholders (citizens, public authorities, and private and public firms) and three secondary stakeholders (NGOs, universities, consulting companies). Results show at which of the four steps of urban crowdsourcing they intervene. Furthermore, the findings reveal a dynamic learning environment composed of two knowledge flows (“learning with” and “learning from” stakeholders).     

Risk management, project success, and technological uncertainty

In times of increased competition and globalization, project success becomes even more critical to business performance, and yet many projects still suffer delays, overruns, and even failure. Ironically, however, risk management tools and techniques, which have been developed to improve project success, are used too little, and many still wonder how helpful they are. In this paper we present the results of an empirical study devoted to this question. Based on data collected on over 100 projects performed in Israel in a variety of industries, we examine the extent of usage of some risk management practices, such as risk identification, probabilistic risk analysis, planning for uncertainty and trade-off analysis, the difference in application across different types of projects, and their impact on various project success dimensions. Our findings suggest that risk management practices are still not widely used. Only a limited number of projects in our study have used any kind of risk management practices and many have only used some, but not all the available tools. When used, risk management practices seem to be working, and appear to be related to project success. We also found that risk management practices were more applicable to higher risk projects. The impact of risk management is mainly on better meeting time and budget goals and less on product performance and specification. In this case, we also found some differences according levels of technological uncertainty. Our conclusion is that risk management is still at its infancy and that at this time, more awareness to the application, training, tool development, and research on risk management is needed.     

Integrating Knowledge and Knowledge Processes: A Critical Incident Study of Product Development Projects

Various scholars have argued that knowledge processes in organizations are integrally linked in practice. The extant literature though treats them separately and thereby disregards the interactions and tensions between them. A result of this way of studying knowledge processes is that little is known about their relative importance and how they work together. This paper addresses this gap in the literature through a critical incident study of knowledge processes in product development projects of high‐tech small firms. The paper starts off with a conceptual framework comprised of four knowledge processes—knowledge creation, knowledge application, knowledge integration, and knowledge retention—and their interactions. From the framework, three hypotheses are derived concerning the importance of these types of knowledge processes and their interactions, which in turn guide the empirical research. The hypotheses were tested in a retrospective study of 58 critical incidents in product development projects of 16 high‐tech small firms in the Netherlands. Data were collected through semi‐structured interviews using the critical incident interviewing technique. Interviewees were asked to “relive” and describe particular successful and unsuccessful examples of product development projects in the past. The analysis of the interview data focused upon whether there are differences between successful and unsuccessful projects in the types of knowledge processes and interactions that are performed. After coding all data into the various types of knowledge processes and interactions of the framework, t‐tests were used to test for significance of differences. The findings indicate that the difference between success and failure in these projects lies primarily in the extent to which knowledge integration and integration between knowledge processes have taken place. These findings demonstrate that, of the four knowledge processes, knowledge integration had the most significant impact on product development project success. The study demonstrates furthermore that higher degrees of interactions between knowledge processes were also associated with project success. Despite the limitations of this study, these results provide empirical support for the claim that integration is a key factor in organizations in general and in innovation projects in particular. For academics, this suggests further research on knowledge integration, and integration between knowledge processes, is warranted. For practitioners, it means that integration is a key process to be considered when choosing and executing new product development projects.     

Innovation Management Practices Compared: The Example of Project‐Based Firms*

The importance of project‐based firms is increasing, as they fulfill the growing demands for complex integrated systems and knowledge‐intensive services. While project‐based firms are generally strong in innovating their clients' systems and processes, they seem to be less successful in innovating their own products or services. The reasons behind this are the focus of this paper. The characteristics of project‐based firms are investigated, how these affect management practices for innovation projects, and the influence of these practices on project performance. Using survey data of 203 Dutch firms in the construction, engineering, information technology, and related industries, differences in characteristics between project‐based and nonproject‐based firms are identified. Project‐based firms are distinguished from nonproject‐based firms on the basis of organizational configuration, the complexity of the operational process, and the project management capabilities of the firm. Project‐based firms also differ with regard to their level of collaboration and their innovation strategy, but not in the level of autonomy. A comparison of 135 innovation projects in 96 of the firms shows that project‐based firms do not manage their innovation projects different from other firms. However, the effects of specific management practices on project performance are different, particularly the effects of planning, multidisciplinary teams and heavyweight project leaders. Differences in firm characteristics provide an explanation for the findings. The implication for the innovation management literature is that “best” practices for innovation management are firm dependent.     

New Product Development: Impact of Project Characteristics and Development Practices on Performance

Concurrent product development process and integrated product development teams have emerged as the two dominant new product development (NPD) “best practices” in the literature. Yet empirical evidence of their impact on product development success remains inconclusive. This paper draws upon organizational information processing theory (OIPT) to explore how these two dominant NPD best practices and two key aspects of NPD project characteristics (i.e., project uncertainty and project complexity) directly and jointly affect the NPD performance. Contrary to the “best practice” literature, the analysis, based on 266 NPD projects from three industries (i.e., automotive, electronics, and machinery) across nine countries (i.e., Austria, Finland, Germany, Italy, Japan, Korea, Spain, Sweden, and the United States), found no evidence of any direct impact of process concurrency or team integration on overall NPD performance. Instead, there is evidence of negative impact of the interaction between project uncertainty and concurrent NPD process and positive impact of the interaction between project complexity and team integration on overall NPD performance. Moreover, the study found no evidence of any direct negative impact of project uncertainty or complexity on overall NPD performance as suggested in the literature, but found evidence of a direct positive relationship between project complexity and overall NPD performance. The practical implications of these results are significant. First, neither process concurrency nor team integration should be embraced universally as best practice. Second, process concurrency should be avoided in projects with high uncertainty (i.e., when working with unfamiliar product, market, or technology). Finally, team integration should be encouraged for complex product development projects. For a simple product a loosely integrated team or a more centralized decision process may work well. However, as project complexity increases, team integration becomes essential for improved product development. There is no one‐size‐fits‐all solution for managing NPD projects. The choice of a product development practice should be determined by the project characteristics.