Social Networks for Innovation and New Product Development

In this article we first provide a brief introduction into social network analysis, focusing on the measures and approaches that are used in the empirical contributions in this special issue. Second, we discuss the role of social networks in new product development. Social networks are inherently multilevel; we consider four “levels”: networks inside a firm, networks that cross firm boundaries, networks between firms, and networks that reside outside of the firm. Third, we discuss these four levels and highlight some of the extant research. We summarize and position the eight papers in this special issue along these four levels. Together, we argue, these papers provide an interesting coverage of this burgeoning field.     

Determinants of IT Usage and New Product Performance*

Explosive growth of information technologies (IT) has prompted interest in examining the role of IT in new product development (NPD). Through desktop software and Web‐based tools, IT has been used to aid idea generation and product testing as well as for NPD activities such as process and portfolio management. Recent research suggests, however, that a gap exists between IT availability and usage. Given the importance of IT in creating business value through the development of new products and services, the present study seeks to identify factors that affect IT usage. Further, anecdotal evidence and conceptual studies intimate that the usage of IT tools for NPD can shorten time to market, can improve product quality, and can increase productivity. However, empirical substantiation of this impact is mostly nonexistent. The current study investigates the relationship between IT usage and two measures of new product performance: speed to market and market performance. Employing a mail‐survey methodology, the study uses data from a sample of practitioner members from the Product Development & Management Association to examine the effect of project risk, existence of a champion, autonomy, innovative climate, IT infrastructure, and IT embeddedness on the extent of IT usage. These data are also used to explore the impact of IT usage on speed to market and market performance. The results indicate that project risk, existence of a champion, and IT embeddedness positively affect the extent of IT usage for NPD. Additionally, IT usage positively and significantly influences the performance of the new product in the marketplace. Surprisingly, and contrary to popular belief, IT usage does not have any impact on speed to market. An important implication of this study is that IT usage influences performance but not in the way managers expect. Specifically, IT usage does not seem to affect speed to market but rather positively impacts the performance of the new product in the marketplace. This result suggests that IT usage in NPD provides far more value to firms than previously thought and provides evidence to support greater investments in IT for product development efforts. Other implications of the study are that unless IT is embedded into the NPD process and champions for IT tools exist, chances are that IT will not be used and its benefits will not be realized.     

Industrial New Product Launch Strategies and Product Development Performance

Just as reporters must answer a few fundamental questions in every story they write, decision-makers in the new product development (NPD) process must address five key issues: what to launch, where to launch, when to launch, why to launch, and how to launch. These decisions involve significant commitments of time, money, and resources. They also go a long way toward determining the success or failure of any new product. Deeper insight into the tradeoffs these decisions involve may help to increase the likelihood of success for product launch efforts. Erik Jan Hultink, Abbie Griffin, Susan Hart, and Henry Robben present the results of a study that examines the interplay between these product launch decisions and NPD performance. Noting that previous launch studies focus primarily on the tactical decisions (that is, how to launch) rather than on the strategic decisions (what, where, when, and why to launch), they explore not only which decisions are important to success, but also the associations between the two sets of decisions. Because the strategic launch decisions made early in the NPD process affect the tactical decisions made later in the process, their study emphasizes the importance of launch consistency—that is, the alignment of the strategic and tactical decisions made throughout the process. The survey respondents—managers from marketing, product development, or general management in U.K. firms—provided information about 221 industrial new products launched during the previous five years. The responses identify associations between various sets of strategic and tactical decisions. That is, the responses suggest that the strategic decisions managers make regarding product innovativeness, market targeting, the number of competitors, and whether the product is marketing- or technology-driven are associated with subsequent tactical decisions regarding branding, distribution expenditure and intensity, and pricing. The study also suggests that different sets of launch decisions have differing effects on performance of industrial new products. In this study, the greatest success was enjoyed by a small group of respondents categorized as Niche Innovators. Their launch strategy involves a niche focus, targeting innovative products into markets with few competitors. Tactical decisions made by this group include exclusive distribution, a skimming pricing strategy, and a broad product assortment.     

Customer Empowerment in New Product Development*

The traditional new product development (NPD) model, in which companies are exclusively responsible for coming up with new product ideas and for deciding which products should ultimately be marketed, is increasingly being challenged by innovation management academics and practitioners alike. In particular, many have advocated the idea of democratizing innovation by empowering customers to take a much more active stake in corporate NPD. This has become feasible because the Internet now allows companies to build strong online communities through which they can listen to and integrate thousands of customers from all over the world. Extant research has provided strong arguments that indicate that customer empowerment in NPD enables firms to develop better products and at the same time to reduce costs and risks if customers in a given domain are willing and able to deliver valuable input. Customer empowerment, however, not only affects the firm's internal NPD processes as reflected in the products that are ultimately marketed. Instead, it might also affect the way companies are perceived in the marketplace (by customers who observe that companies foster customer empowerment in NPD). This paper provides the first empirical study to explore how customers from the “periphery” (i.e., the mass that does not participate) perceive customer empowerment strategies. Customer empowerment in NPD is conceptualized along two basic dimensions: (1) customer empowerment to create (ideas for) new product designs; and (2) customer empowerment to select the product designs to be produced. Therefore, customers may be empowered to submit (ideas for) new products (empowerment to create) or (2) to “vote” on which products should ultimately be marketed (empowerment to select). In the course of two experimental studies using three different product categories (T‐shirts, furniture, and bicycles) both customer empowerment dimensions (as well as its interaction) are found to lead to (1) increased levels of perceived customer orientation, (2) more favorable corporate attitudes, (3) and stronger behavioral intentions. These findings will be very useful to researchers and managers interested in understanding the enduring consequences of customer empowerment in NPD. Most importantly, the results suggest that empowerment strategies might be used to improve a firm's corporate associations as perceived by the broad mass of (potential) customers. In particular, marketers might foster customer empowerment as an effective means of enhancing perceived customer orientation. Customers will in turn provide rewards, as they will form more favorable corporate attitudes and will be more likely to choose the products of empowering as opposed to nonempowering companies, ceteris paribus. Customer empowerment thus constitutes a promising positioning strategy that managers can pursue to create a competitive advantage in the marketplace.     

Goal Multiplicity and Innovation: How Social and Economic Goals Affect Open Innovation and Innovation Performance

Integrating insights from the strategic goal literature and the knowledge‐based view of the firm, this article proposes that the pursuit of social and economic strategic goals by commercial firms affects their innovation performance through different knowledge sourcing activities. The strategic goals, knowledge sourcing practices, and innovation performance of 1257 Belgian firms are investigated. Results show that both social and economic strategic goals are associated with the use of external information sources, but only the pursuit of social goals inspires firms to engage in external collaboration. No evidence is found of an inherent conflict between social and economic strategic goals. Instead, the two types of goals are independent of each other, that is, an emphasis on social goals does not preclude an emphasis on economic goals and vice versa. Moreover, firms’ external knowledge sourcing and innovation performance benefit most when strongly held social goals align with strongly held economic goals. These findings offer new insight into the nature and the effects of goal multiplicity among commercial firms. They open up a new perspective on the potential positive effects of the joint pursuit of social and economic strategic goals instead of seeing them as inherently conflicting, as past research has typically done. We illustrate how social strategic goals can deliver unique benefits to a firm, independently of and in addition to economic strategic goals. Our findings also contribute to the open innovation literature by revealing strategic goals as a driver of firms’ knowledge sourcing practices. Our findings suggest that solely emphasizing economic goals may be one reason why firms struggle to implement open innovation practices and do not reap their full benefits. The practical implications of our research are discussed.     

Extrinsic Rewards,Intrinsic Motivation,and New Product Development Performance

Reward structures can have a significant impact on the performance of new product development (NPD) teams. However, there are several gaps in our understanding of how different types of extrinsic rewards influence the creative performance of NPD teams. Drawing on key theoretical objectives for advancing rewards-creativity research in general, and NPD research in particular, this study incorporates a cognitive and behavioral view of rewards use. In so doing, we distinguish between three kinds of extrinsic rewards: financial, recognition, and social (based on their properties). We then draw upon self-determination theory to hypothesize the differential effects of three types of extrinsic rewards on intrinsic task motivation, and subsequently the creative performance of NPD teams. The proposed framework is tested using two rounds of survey data from 238 members of 64 NPD teams in the high-tech industry. Results of a multilevel structural equation modeling (MLSEM) analysis show that financial rewards have a negative relationship with intrinsic task motivation, while recognition and social rewards have a positive influence. Complexity of the product being developed not only helps to mitigate the negative effects of financial rewards on intrinsic task motivation, but it also reduces the positive effects of social rewards on intrinsic task motivation. Intrinsic task motivation is found to have a positive effect on NPD creative performance in terms of both the developed product’s degree of innovation and its quality. Theoretical and managerial implications are explored.     

R&D Collaborations and Product Innovation*

This paper studies the relative impact on product innovation of research and development (R&D) collaborations with universities, suppliers, customers, and competitors. It argues that each type of R&D collaboration differs in terms of the breadth of new knowledge provided to the firm and in the ease of access of this new knowledge, resulting in a different impact on product innovation. As a result, it proposes that R&D collaborations with universities are likely to have the highest impact on product innovation, followed by R&D collaborations with suppliers, customers, and, finally, competitors. These arguments are tested on the R&D collaborations undertaken by a sample of 781 manufacturing firms during 1998–2002. The tests find that R&D collaborations with suppliers have the highest positive impact on product innovation, followed by collaborations with universities. Surprisingly, R&D collaborations with customers do not appear to affect product innovation, and collaborations with competitors appear to harm it. Moreover, the positive influence of R&D collaborations with universities and suppliers is sustained over the long‐term, but the negative influence of R&D collaborations with competitors is, fortunately, short‐lived. These findings indicate that ease of knowledge access, rather than breadth of knowledge, appears to drive the success of R&D collaborations for product innovation. R&D collaborations with suppliers or universities, which are characterized by relatively easy knowledge access, have a positive influence on product innovation, whereas R&D collaborations with customers or competitors, which are characterized by reduced ease in knowledge access, are not related or are even negatively related to product innovation. Moreover, to achieve product innovation with the help of R&D collaborations, it appears that the collaboration must first have mechanisms in place to facilitate the transfer of knowledge; once these are in place, it is better if the partner has a relatively narrow knowledge base. Thus, while R&D collaborations with both suppliers and universities are positively related to product innovation, the narrow knowledge base provided by collaborations with suppliers appears to have a larger positive impact on product innovation than the wider knowledge base provided by collaborations with universities. These arguments and findings are important and novel. The paper is one of the first to theoretically explain and empirically show that various types of collaborations have a differential influence on product innovation. It goes beyond previous literature by providing a theoretical logic for ranking the likely impact of types of collaborations on product innovation. The study also suggests to managers to carefully select the partners for their firms' R&D collaborations. Collaborations with suppliers appear to be the most promising for product innovation, followed by collaborations with universities, whereas collaborations with competitors may be detrimental to product innovation.     

Mapping the Impact of Social Media for Innovation: The Role of Social Media in Explaining Innovation Performance in the PDMA Comparative Performance Assessment Study

Social media (SM) allow users to easily create, edit, or share content. The vast numbers of individuals that converge around sites like LinkedIn, Facebook, or Twitter embody a rich source of external knowledge that could be utilized for new product development (NPD). Complementing other channels for open innovation (OI), SM can provide access to novel information about customer needs and technological solutions unknown to the firm. Anecdotal evidence suggests that there are considerable benefits from using SM during an innovation project, but empirical evidence is scarce. Contributing to the perspective of openness in search, a number of hypotheses propose how SM as a new channel for OI can contribute to firm performance. This model is tested using data from the PDMA Comparative Performance Assessment Study, identifying factors influencing the relationship between SM and NPD performance. The findings indicate that utilizing information from SM channels can lead to higher performance, but that this link is influenced by the formalization of a firm's NPD process. This study also finds that the ability of a firm to benefit from external search in SM strongly depends on complementary internal processes when organizing and conducting this activity. Furthermore, managers have to take care when utilizing information from SM channels in radical projects, as for this kind of project only a weak significant performance contribution of SM could be found.     

Uses of Agent‐Based Modeling in Innovation/New Product Development Research*

Little has been written in the new product development literature about the simulation technique agent‐based modeling, which is a by‐product of recent explorations into complex adaptive systems in other disciplines. Agent‐based models (ABM) are commonly used in other social sciences to represent individual actors (or groups) in a dynamic adaptive system. The social system may be a marketplace, an organization, or any type of system that acts as a collective of individuals. Agents represent autonomous decision‐making entities that interact with each other and/or with their environment based on a set of rules. These rules dictate the behavioral choices of the agents. In these simulation models, heterogeneous agents interact with each other in a repetitive process. It is from the interactions between agents that aggregate macroscale behaviors or trends emerge. The simulated environment can be thought of as a “virtual” society in which actions taken by one agent may have an effect on the resulting actions of another agent. This article is an introduction to the ABM methodology and its possible uses for innovation and new product development researchers. It explores the benefits and issues with modeling dynamic systems using this methodology. Benefits of ABMs found in sociology and management studies have found that as the heterogeneity of individuals increase in a system or as network effects become more important in a system, the effectiveness of ABMs as a methodology increases. Additionally, the more adaptive a system or the more the system evolves over time, the greater the opportunity to learn more about the adaptive system using ABMs. Limitations to using this methodology include some knowledge of computer‐programming techniques. Three potential areas of research are introduced: diffusion of innovations, organizational strategy, and knowledge and information flows. A common use of ABMs in the extant literature has been the modeling of the diffusion process between networked heterogeneous agents. ABMs easily allow the modeling of different types of networks and the impact of these networks on the diffusion process. A demonstrative example of an agent‐based model to address the research question of how should manufacturers allocate resources to research (exploration) and development (exploitation) projects is provided. Future courses of study using ABMs also are explored.     

Trust Formation in Collaborative New Product Development*

This research examines antecedents of trust formation in new product development partnerships and the effect of trust on performance. Trust is modeled as an outcome of communication behavior, shared problem‐solving, perceived fairness, the existence of conflicts during the development project, and partner egoism. The hypotheses are tested with data on 44 product development partnerships representing the perspective of the manufacturer. The findings suggest that communication behavior and fairness are positive contributors to trust. In contrast, conflicts during product development and perceived egoism of the partner appear to have a detrimental effect. High levels of trust were found to create the conditions for successful outcomes. A higher level of trust clearly differentiates between high‐ and low‐performing collaborative relationships in new product development. Trust also was found to be a powerful mediator, particularly as it relates to mitigating conflicts during such partnerships.     

Exploring New Product Development Project Review Practices*

Most organizations use new product development (NPD) processes that consist of activities and review points. Activities basically solve problems and gather and produce information about the viability of successfully completing the project. Interspersed between the development activities are review points where project information is reviewed and a decision is made to either go on to the next stage of the process, stop it prior to completion, or hold it until more information is gathered and a better decision can be made. The review points are for controlling risk, prioritizing projects, and allocating resources, and the review team typically is cross‐disciplinary, comprising senior managers from marketing, finance, research and development (R&D), or manufacturing. Over the past four decades, research has greatly advanced knowledge with respect to NPD activities; however, much less is known about review practices. For this reason, the present paper reports findings of a study on NPD project review practices from 425 Product Development & Management Association (PDMA) members. The focus is on three decision points in the NPD process common across organizations (i.e., initial screen, prior to development and testing, and prior to commercialization). In this paper, the number of (1) review points used, (2) review criteria, (3) decision makers on review committees and the proficiency with which various evaluation criteria are used are compared across incremental and radical projects and across functional areas (i.e., marketing, technical, financial). Furthermore, the associations between these NPD review practices and new product performance are examined. Selected results show that more review points are used for radical NPD projects than incremental ones, and this is related to a relatively lower rate of survival for radical projects. The findings also show that the number of criteria used to evaluate NPD projects increases as NPD projects progress and that the number of review team members grows over the stages, too. Surprisingly, the results reveal that more criteria are used to evaluate incremental NPD projects than radical ones. As expected, managers appear to more proficiently use evaluation criteria when making project continuation/termination decisions for incremental projects; they use these criteria less proficiently during the development of radical projects, precisely when proficiency is most critical. At each review point, technical criteria were found to be the most frequently used type for incremental projects, and financial criteria were the most commonly used type for radical ones. Importantly, only review proficiency is significantly associated with performance; the number of review points, review team size, and number of review criteria are not associated with new product performance. Furthermore, only the coefficient for proficiently using marketing criteria was significantly related to new product program performance; the proficiency of using financial and technical information has no association with performance. Finally, across the three focal review points of the NPD process in this study, only the coefficient for proficiency at the first review point, (i.e., the initial screen) is significantly greater than zero. The results are discussed with respect to research and managerial practice, and future research directions are offered.     

New Product Development Practices of Industrial Marketers*

William L. Moore personally interviewed a number of senior managers employed in 25 large industrial marketing companies about new product development practices. These managers are familiar with all phases of the development of typical new products, from the time ideas are generated until market introduction. Most respondents were either division heads or those directly responsible for a division's new product development program. In agreement with a previous study, the use of formal new product strategies and sophisticated quantitative marketing research techniques was found to be lacking in most companies. However, many other elements of the new product development process were carried out more completely than previously reported. For example, respondents reflected sensitivity to informal understanding of new product strategies. A number of the less sophisticated, small scale qualitative research methods actually used may be more appropriate than more sophisticated methods. While several research areas are suggested, the general assessment of the new product practices of these firms is more positive than that of Feldman and Page.     

Continuity,Change, and New Product Performance: The Role of Stream Concentration*

Product development teams often face the challenge of designing radically new products that cater at the same time to the revealed tastes and expectations of existing customers. In new product development projects, this tension guides critical choices about continuity or change concerning product attributes and team composition. Research suggests these choices interact, but it is not clear whether they are complements or substitutes and if the level of change in one should match or not the level of change in the other. In this article, we examine the interaction between product attribute change, team change, and a new team-level factor, which we term stream concentration, as it captures differences among team members in terms of familiarity with the knowledge domain of the new product being developed. We measure stream concentration as team members’ prior NPD experience within a given set of products and assess its impacts on the management of change in new product development projects using longitudinal data from the music industry. We analyze 2621 new product development projects between 1962 and 2008 involving 34,265 distinct team members. Results show that stream concentration is a critical factor in new product development projects that, together with product attributes and team composition, affects new product performance. We discuss implications for research and practice.     

Organizing for Inbound Open Innovation: How External Consultants and a Dedicated R&D Unit Influence Product Innovation Performance

Firms increasingly acquire technological knowledge from external sources to improve their innovation performance. This strategic approach is known as inbound open innovation. The existing empirical evidence regarding the impact of inbound open innovation on performance, however, is ambiguous. The equivocal results are due to moderating factors that influence a firm's ability to acquire technological knowledge from external sources and to transform it into innovation outputs. This paper focuses on a relevant yet overlooked category of moderating factors: organization of research and development (R&D). It explores two organizational mechanisms: one informal and external‐oriented (involvement of external consultants in R&D activities) and one formalized and internal‐oriented (existence of a dedicated R&D unit), in the acquisition of technological knowledge through R&D outsourcing, a particular contractual form for inbound open innovation. Drawing on a capabilities perspective and using a longitudinal dataset of 841 Spanish manufacturing firms observed over the period 1999–2007, this paper provides a fine‐grained analysis of the moderating effects of the two organizational mechanisms. The involvement of external consultants in R&D activities strengthens the impact of inbound open innovation on innovation performance by increasing marginal benefits of acquiring external technological knowledge through R&D outsourcing. Moreover, it reduces the level of inbound open innovation to which the highest innovation performance corresponds. Instead, the existence of a dedicated R&D unit makes the firm less sensitive to changes in the level of inbound open innovation, by reducing marginal benefits of acquiring external technological knowledge through R&D outsourcing, and increases the level of inbound open innovation to which the highest innovation performance corresponds. The results regarding the role of informal and formalized R&D organizational mechanisms contribute to research on open innovation and absorptive capacity, and also inform managers as to what organizational mechanism is recommended to acquire external technological knowledge, depending on the objectives that the firm pursues.     

The Transformation of the Innovation Process: How Digital Tools are Changing Work,Collaboration, and Organizations in New Product Development*

Over the past several decades, digitization has invaded all areas of human activity, including innovation. The result of digitization of existing tools for design and collaboration, and the introduction of entirely new digital tools, is a far more substantive change of innovation than previous generations of tools enabled. It affects not only the quality of the output and speed of its generation, but it affects the innovation work itself, changes work content, collaboration patterns, decision authority, organizational set‐ups, governance structures, firm boundaries, and ultimately entire ecosystems. In this paper, the digitization of New Product Development (NPD), a subset of innovation, is studied to pursue two research questions: (1) How has the digital tool landscape in NPD changed over the past 15 years, and (2) how have these changes affected how firms innovate? This research uses a longitudinal multi‐method, qualitative approach to deep dive into actual use cases of digital design tools such as computer‐aided design CAD and new tools such as collaborative information technology (CIT). The changes in these tools and observations into how these tools are transforming the very nature of how things are designed is the research focus of this study. These tools have become increasingly more sophisticated while being easier to use and are integrated earlier in the design process. As a result, digital tools have a far broader reaching impact than previous generation of tools. Not only do they affect output and process efficiency, but they also increase depth and breadth of the work of individual innovators, they lead to rearrangement of the entire innovation processes, enable new configurations of people, teams, and firms, and rewrite the rules on how knowledge management acts as a critical competitive capability. The progression of digitization is laying the groundwork for changes to what firms are and do and points to different ways of organizing, specializing, and training for NPD professionals.     

程序公平对新产品开发成功的影响——跨职能整合的中介作用

本文通过对中外汽车合资企业的实地调研,提出将程序公平引入现有关于跨职能整合与新产品开发成功的模型中,并进一步提出跨职能整合在合资企业程序公平与新产品开发成功关系中的中介作用。通过对获取数据的分析,发现合资企业程序公平不仅可以直接影响合资企业的新产品开发成功,而且也可以通过跨职能整合间接影响新产品开发成功,而跨职能整合在程序公平与新产品开发成功关系中起中介作用。     

The Roles of Sustainability Orientation and Market Knowledge Competence in New Product Development Success

Firms’ sustainability orientation (SO) is widely understood as a strategic resource, which can lead to competitive advantage and superior (financial) performance. While recent empirical evidence suggests a moderate and positive relationship between SO and financial performance on a corporate level, little is understood about the influence of SO on new product development (NPD) success. Building on the natural‐resource‐based view (NRBV) of the firm, we hypothesize that firms’ SO positively influences NPD success, because of efficiency gains and differentiation advantages. However, scholars have also argued that the win–win paradigm postulated by NRBV might not always hold because NPD managers might find it difficult to balance sustainability objectives with the needs of their customer and the competitive dynamics in their markets. It is, therefore, proposed that market knowledge competence (MKC) is an important capability, which helps firms to balance social and ecological objectives with economic goals such as profitability and market share. Using data from 343 international firms from 24 countries that was collected by the Product Development and Management Association, structural equation modeling results suggest that (1) SO positively influences NPD and that (2) this relationship is partially mediated by firms’ market knowledge capabilities. The findings suggest that strategic‐level SO and MKC are complementary in that they help in balancing trade‐offs between sustainaility objectives and profitability goals. In this way, the study contributes to a better understanding of how critical NPD practices can help managers to translate firms’ SO into NPD success. The article concludes by highlighting implications for product innovation managers.