The Informational Role of Product Trade‐Ins for Pricing Durable Goods

This research theorizes that sellers of durable goods can utilize inferences about the buyer's willingness to pay based not only on her decision to trade in the old good but also on its characteristics. We find empirical support for this theory using transaction data for new car purchases. The results support the notion that dealers infer a higher willingness to pay and charge higher prices to consumers who trade in a used vehicle than to those who do not. We also find that dealers charge even higher prices to those consumers who trade in used cars that are similar to the new one.     

The Vital Role of Problem‐Solving Competence in New Product Success*

Problem solving, a process of seeking, defining, evaluating, and implementing the solutions, is considered a converter that can translate organizational inputs into valuable product and service outputs. A key challenge for the product innovation community is to answer questions about how knowledge competence and problem‐solving competence develop and sustain competitive advantage. The objective of this study is to theoretically examine and empirically test an existing assumption that problem‐solving competence is an important variable connecting market knowledge competence with new product performance. New product projects from 396 firms in the high‐technology zones in China were used to test the study's theoretical model. The results first indicate that problem‐solving speed and creativity matter in new product innovation performance by playing mediator roles between market knowledge competence and positional advantage, which in turn sustains superior performance. This new insight suggest that mere generation of market knowledge and having a marketing–research and development (R&D) interface will not affect new product performance unless project members have the ability to use the information and to interact to identify and solve complex problems speedily and creatively. Second, these results suggest that different market knowledge competences (customers, competitors, and interactions between marketing and R&D) have distinct impacts on problem‐solving speed and creativity (positive, negative, or none), which underscore the need to embrace a more fine‐grained notion of market knowledge competence. The results also reveal that the relative importance of some of these relationships depends on the perceived level of turbulence in the environment. First, competitor knowledge competence decreases problem‐solving speed when perceived environmental turbulence is low but enhances problem‐solving speed when perceived turbulence is high. Second, competitor knowledge competence has a positive relationship with new product performance when the environmental turbulence is high but no relationship when the environmental turbulence is low. Third, the positive relationship between problem‐solving speed and product advantage is stronger when the perceived environmental turbulence is high than when it is low, which implies that problem solving is more important for creating product advantage when environmental turbulence is high and change is fast and unpredictable. Fourth, the negative relationship between problem‐solving speed and new product performance is stronger when the perceived environmental turbulence is high than when it is low, which means that problem‐solving speed is more harmful for new product performance when change is fast and unpredictable. And fifth, the positive relationship between product quality and new product performance is stronger when perceived environmental turbulence is low than when it is high, which implies that product quality may more likely lead to new product performance when the environment is stable and changes are easy to predict, analyze, and comprehend.     

Interaction Orientation and Product Development Performance for Taiwanese Electronics Firms: The Mediating Role of Market‐Relating Capabilities

While academics and practitioners are increasingly aware of the value of including the customer in new product development (NPD), processes for doing so effectively remain unclear. Therefore, this study explores the process through which a firm's interaction orientation (the ability to effectively interact with customers) influences product development performance. Drawing on the resource‐based view, this study develops a research model in which two market‐relating capabilities—market‐linking and marketing capabilities—mediate the effect of interaction orientation on product development performance. The validity of this model is examined by analyzing primary data gathered from 167 Taiwanese electronics companies. The model results provide support for a process link between interaction orientation, market‐relating capabilities, and product development performance, such that a firm's capabilities enable the conversion of customer‐based resources into productive new product outcomes. More specifically, the interaction orientation–product development speed relationship is mediated by both marketing and market‐linking capabilities, while the interaction orientation–product innovativeness relationship is partially mediated by marketing capability. That is, interaction orientation has indirect effects on product innovativeness and product development speed by strengthening both marketing and market‐linking capabilities that in turn improve product development performance. In addition, the results suggest that a firm's interactive rationality moderates the relationship between interaction orientation and marketing capability. Overall, this study enhances our understanding of how firms achieve superior product development performance by developing effective customer interaction. The findings of this study provide important strategic insights into NPD.     

Legitimacy‐Seeking Mechanisms in Product Innovation: A Qualitative Study*

Product innovation research adopts a rational choice perspective to examine resource allocation decisions for product innovation. This research emphasizes strategic alignment between the innovation and the organization as the key factor shaping these decisions. In contrast, organizational research suggests that to access resources, product innovations have to be perceived as legitimate by corporate sponsors. Legitimacy is rooted in alignment with the prevalent corporate norms, beliefs, and cultural model. Adopting an institutional perspective and relying on an in‐depth case study of three product innovations, this study explores legitimacy‐seeking behavior in product innovation. The findings indicate that the rational perspective emphasized in most product innovation research is complemented by efforts to seek both moral and cognitive legitimacy to resource product innovation. The study clarifies the critical role that the organizational context plays in triggering legitimacy‐seeking behavior. The analysis unpacks legitimacy‐seeking behavior, revealing patterns of legitimating mechanisms (lobbying, relationship building, and gathering feedback) that are deployed as part of legitimacy strategies (conforming, selecting, and manipulating) to achieve a range of legitimacy outcomes (pragmatic, moral, and cognitive). The analysis reveals the existence of a hierarchy of legitimacy outcomes as actors prioritize one type of legitimacy versus another. The study also finds interdependencies between mechanisms and strategies to reinforce particular outcomes as legitimacy‐seeking behavior evolves over time.     

High‐Performance Product Management: The Impact of Structure,Process, Competencies,and Role Definition*

Product management is one of the most important functions in marketing. Yet the product management literature has focused largely on creating successful products and has relatively little to say about creating effective product management organizations. This paper focuses on the organizational determinants of high‐performance product management at three levels: (1) the product manager as an individual; (2) the marketing processes related to product management; and (3) the organization structure and role definition. The paper identifies several key factors that potentially impact product management performance. A set of qualitative interviews is conducted to develop hypotheses related to constructs that may drive product management performance. These hypotheses are used to develop a causal model for product management performance that includes constructs related to roles and responsibilities, organization structure, and marketing processes related to product management. An empirical survey of 198 product managers from a variety of industries is conducted to test the causal model. The results of the causal model suggest that performance of a product management organization is driven by structural barriers in the organization, the quality of marketing processes, roles and responsibilities, and knowledge and competencies. The findings suggest that structural boundaries and interfaces are the biggest impediment to effective product management, followed by clarity of roles and responsibilities. The research highlights the importance of organization structure and effective human resource practices in improving product management performance.     

The Impact of User‐Oriented Design on New Product Development: An Examination of Fundamental Relationships*

Design offers a potent way to position and to differentiate products and can play a significant role in their success. In many ways it is the focus on deep understanding of the customer or user—what may be termed user‐oriented design (UOD)—that transforms a bundle of technology with the ability to provide functionality into a “product” that people desire to interact with and from which they derive benefits. Even though the importance of this type of design is gaining recognition, several fundamental relationships between user‐oriented design contributions and the new product development (NPD) process and outcomes (i.e., product) remain unresearched, although they are assumed. This article examines the fundamental relationships underlying the incorporation of a user orientation into the NPD process. The discussion is organized around UOD's impact in terms of enhancing collaborative new product development (process oriented), improving idea generation (process oriented), producing superior product or service solutions (product oriented), and facilitating product appropriateness and adoption (product oriented). Each of these is developed and presented in the form of a research proposition relating to the impact of user‐oriented design on product development. The fundamental relationships articulated concerning UOD's impact on NPD form a conceptual framework for this approach to product design and development. For practitioners, the article suggests how user‐oriented design can improve NPD through its more grounded and comprehensive approach, along with the elevated appreciation of design challenges and heightened sense of possibilities for a product being developed. For scholars, the article identifies four important areas for UOD research. In addition to the rich avenues offered for research by each of these, the framework presented provides a foundation for further study as well as the development of new measures and tools for enhancing NPD efforts.     

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.     

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.     

Exploring the Appeal of Product Design: A Grounded,Value‐Based Model of Key Design Elements and Relationships*

Product design is increasingly being recognized as an important source of sustainable competitive advantage. Until recently, the domain of design has been loosely categorized as “form and function” issues. However, as this paper will explore, product design deals with a much richer range of issues, many of which have not been considered in the marketing literature. To explore the domain and elements of design, the paper begins with two major goals: (1) to elicit the key dimensions of design and to develop an enriched language for the understanding and study of design; and (2) to integrate the design dimensions within a broader model that ties initial design goals to eventual psychological and behavioral responses from consumers. To achieve these ends, grounded theory development is used by conducting an extensive literature review, in‐depth interviews, and an interactive object elicitation technique. Drawing from this rich source of qualitative information as well as diverse literature fields, a framework is proposed for the creation of design value in consumer products. This framework not only explores the domain of design but also highlights the important elements of design that go well beyond the clichéd form and function issues. The resulting model reflects specific marketplace and organizational constraints that may help or impede the conversion of designer goals to so‐called design levers. These levers are used to convey three types of values to consumers: rational, kinesthetic, and emotional. The framework then explains how and when these different values may be perceived by the consumer. Within this framework, testable research propositions and specific directions for future design‐based research are also offered. Beyond its potential to spur marketing and new product development (NPD) management thought, the framework offered here represents a significant contribution to the field of design, which has historically been represented as a highly fragmented body of knowledge. Formalizing this framework should help overcome perhaps the largest obstacle to date to marketing‐related and NPD‐related research in this area—the lack of a detailed and consistent nomological view of the scope of design dimensions including testable linkages. Design has become an important tool that can be used by managers to develop dominant brands with lasting advantages. This research lends the NPD manager and the marketing manager better insights in into how this increasingly popular focus can be used to influence consumer behavior and firm success. “Design may be our top unexploited competitive edge.” Tom Peters, 2004 (cover review of Norman, 2004 ) “We don't have a good language to talk about [design]. In most people's vocabularies, design means veneer.… But to me, nothing could be further from the meaning of design. Design is the fundamental soul of a man‐made creation.” Steve Jobs, Apple Computers     

Product Innovation Management in Spain

In line with the latest studies of product innovation management, Angel Martinez Sanchez and Luis Navarro Elola report results from their study of 56 industrial firms in Spain. The results reveal a systematic process of new products development with little consideration given to innovation, but with a contrasting preoccupation with market activities.     

De‐escalation Mechanisms in High‐technology Product Innovation

Many decision‐makers struggle to reduce commitment to failing endeavors. While de‐escalation mechanisms have been documented and tested in information technology, accounting, psychology, and organizational behavior, little work has addressed de‐escalation in innovation. This study identifies and examines the applicability of de‐escalation mechanisms specifically in new product development (NPD) projects. Initially, we conducted an extensive literature review to identify de‐escalation mechanisms found in research across different academic disciplines. Subsequently, we conducted a qualitative study using semistructured interviews to gather primary data. In total, using a sample of organizations that compete in high‐technology industries, 31 managers and engineers in 15 NPD projects that were terminated prior to completion were interviewed regarding mechanisms used to de‐escalate commitment to failing new product innovation projects. Several mechanisms reportedly used for innovation projects parallel those identified in the previous literature. More importantly, the authors uncover novel and previously undocumented ways to discontinue or redirect poorly performing projects. Specifically, internal competitions, feature‐level de‐escalation, continual assumption assessment, benchmarking, roadmaps, and comprehensive product testing are particularly well suited for innovation projects. These findings extend the body of extant literature on de‐escalation of commitment to include innovation, notably in high‐technology settings. The study also highlights that organizations may want to accept or even encourage failure, thereby increasing the efficacy of resource use. Implications for further research and practice are offered.     

Fostering Innovation in Complex Product Development Settings: The Role of Team Member Identity and Interteam Interdependence*

Much of the existing research on innovation has concentrated on the study of individuals in small group settings. However, projects marked by multiple teams, high task interdependence, long duration, and large scale have become increasingly common in practice. Very little is known about how extant research findings related to innovation may generalize to such complex settings. Taking a multilevel theoretical approach, individuals' propensity to innovate is hypothesized as the product of individuals' relationship with their work team (team member identification) and their team's relationship to other teams within the organizational system (interteam interdependence). A large, diversified manufacturing firm engaged in a multibillion dollar project that involved the development of a technologically intense, highly innovative, new product served as the research site. Based on archival and survey data (n=118), five hypotheses were tested. The findings indicate that individuals' strong team identification and their perceptions of high interteam interdependence each had positive main effects on individuals' intentions to innovate. However, these two variables also interacted negatively to significantly decrease innovation intentions. Therefore, high identification with team may lead individuals to view interdependence with another team as a threat deflecting attention from innovation. The finding related to the role of identity, although consistent with work linking identity to other team behaviors, usefully broadens the reach of identification theories to demonstrate their impact on innovation. Additionally, this study is the first to demonstrate the impact of interteam interdependence on innovation. The alternative operationalizations of interdependence used in this paper highlight the fact that it must be strongly perceived and experienced by individuals to affect their innovation attitudes. The findings of this study also have implications for managerial practice in complex project settings. Since team identification has a direct effect on innovation, managers might employ strategies related to the creation of social bonds to complement task related connections among team members. Further, managers should configure staffing and incentive mechanisms to reinforce team identification. Finally, the results suggest that managers need to carefully attend to individuals' perceptions of each team's interdependence with other teams. Although perceptual interdependence can be an enabler of innovation, it can also be a disabler, through its interaction with team identification. Recognizing this potential for negative effects, managers might emphasize the benefits that can come from cooperating across teams, thus encouraging team members to identify not only at the team level but at the overall project level as well. Such actions might deflect negative identity threats that can derail positive innovation intentions.     

Inconclusive Innovation “Returns”: A Meta‐Analysis of Research on Innovation in New Product Development*

This research on studies that have empirically examined the construct innovation provides a meta‐analysis of the marketing, management, and new product literatures. The study extends previous meta‐analytic works by drawing on 70 independent samples from 64 studies (published from 1970 to 2006) with a total sample size of 12,921. The overall objective is to propose a synthesized model that includes technological turbulence, market turbulence, customer orientation, competitor orientation, organizational structure, innovation, and new product performance. Six baseline hypotheses were developed and tested. The goal is not only to derive empirical generalizations from these literatures but also to investigate sources of inconsistencies in the findings. Four substantive and two methodological artifacts were tested to determine whether they moderate model relationships (i.e., whether the effect sizes differ for any of the six baseline hypotheses). The potential moderators were project versus program level of analysis, the nature of change required by the innovation, service versus product, country of the data's origin, continuous versus categorical measurement, and the number of scales used. From a theoretical perspective, the results corroborated the resource‐based view framework regarding the determinants and the performance outcome of innovation. New product performance (the performance outcome) is a direct consequence of innovation, and this effect is stronger when the data are collected from Western countries. This relationship holds regardless of whether the level of analysis is the new product program versus project or whether the innovation is a product or a service, a robust result relevant to researchers and managers alike. As for the determinants of innovation, the results were as follows. While market turbulence is overall not a direct antecedent to innovation, technological turbulence is overall positively related (especially when market discontinuities are considered or when the data are collected from Asian countries). Customer orientation encourages new product innovation overall, but especially at the program (as opposed to project) level in Western countries. The effect of competitor orientation is also positive. The results for either orientation construct or either turbulence construct held whether the level of analysis was project versus program or whether services versus products were examined. However, the relationship of mechanistic organizational structures to innovation, although positive in the overall sample, did vary by product (positive) versus service (negative).     

Heterogeneous Firm‐Level Effects of Knowledge Exchanges on Product Innovation: Differences between Dynamic and Lagging Product Innovators*

Product innovation is the result of a constant interaction between the in‐house research and development (R&D) department and knowledge exchanges with the firm's environment. Knowledge exchanges come in different forms. They break down into information gathering applied in new product development, research cooperation on particular innovation projects, and managing information outflows allowing the consequent appropriation of the results of product innovation through specific methods. The way firms handle knowledge exchanges affects their performance. This paper looks at three related indicators of performance: (1) research intensity (a measure of innovative input); (2) the share of revenue realized through innovative product sales (a measure of innovative output); and (3) their impact on the growth in total revenue. The bulk of the econometric literature looking into these matters only allows general statistical statements on the behavior of an “average” firm. This paper takes on another view by using the quantile regression method to stress the heterogeneity of innovative firms in their dealing with knowledge exchange and the effect this has on their performance. A first key finding is that research intensity is positively influenced by knowledge externalities, research cooperation, and appropriability, and it is through this that these variables affect innovative revenue and also the growth in total revenue. By using quantile regression these relationships are further refined to screen for differences in behavior between dynamic and lagging innovators. This refinement indicates that, in the case of research intensity, the knowledge externalities gain in importance in the higher quantiles and are insignificant in the lower ones. Next, research cooperation remains important in all quantiles, but a higher significance is observed in the higher quantiles as well. Finally, appropriability is extremely important for the lower quantiles, but it becomes insignificant in the highest. These findings corroborate the assumptions made in the literature on open innovation: knowledge externalities and research collaboration are vital for those opening up their firm for new ideas and who are, at the same time, reluctant to protect their findings through specific appropriation measures. In the case of innovative revenue all variables on knowledge exchange operate through the research intensity irrespective of the quantile, although the impact of research intensity on this type of revenue is higher in the upper quantiles. As for the growth in revenue, the effect of the innovative revenue is, again, higher in the higher quantiles. This suggests that dynamic product innovators have the most efficient R&D process and the strongest growers are so, especially, because they are successful product innovators.     

The Impact of Front‐End Innovation Activities on Product Performance

This paper describes and tests a model of the impact of front‐end innovation activities on product performance. Data were collected from 272 companies to test the hypothesis that front‐end performance impacts new product performance in the marketplace while controlling for new product development (NPD) processes and strategy. The data support the hypothesis that front‐end performance favorably and independently impacts overall product success, time to market, market penetration, and financial performance. Front‐end performance is predicted by a set of activities, including: the actual amount of front‐end work done in various areas, specifically marketing, R&D, and concept development; the existence of a front‐end process; the existence of a champion; and agreement on the order of developmental steps in the front end. Front‐end activities are related to front‐end performance, and front‐end performance is related to NPD performance. This relationship highlights the distinction between front‐end activities and standard product development practices and the importance of building competency in the front end. This is the first study that quantifies both the nature and amount of work done in the front end and relates that work to commercial performance. This research empirically demonstrates the distinction between the front‐end and formal stages and gates types of systems. This suggests that the concept of the front end needs it own set of theoretical constructs to adequately describe and predict this categorically different set of activities. While this study demonstrates the difference between front‐end and stage‐gate systems, it does not establish the limits of those activities. From a managerial point of view recognizing that formal development and front‐end activities are different mandates that these activities must be managed differently. In particular, the skills, structures, processes, governance, leadership, performance metrics, and resources must be assessed separately and differently. These findings suggest that firms should actively manage the flow of ideas from the front end into the more formal development programs.     

Modified Stage‐Gate® Regimes in New Product Development*

The purpose of this research was to explore the nature of the Stage‐Gate^®process in the context of innovative projects that not only vary in new product technology (i.e., radical versus incremental technology) but that also involve significant new product development technology (i.e., new virtual teaming hardware‐software systems). Results indicate that firms modify their formal development regimes to improve the efficiency of this process while not significantly sacrificing product novelty (i.e., the degree to which new technology is incorporated in the new offering). Four hypotheses were developed and probed using 72 automotive engineering managers involved in supervision of the new product development process. There was substantial evidence to creatively replicate results from previous benchmarking studies; for example, 48.6% of respondents say their companies used a traditional Stage‐Gate^®process, and 60% of these new products were considered to be a commercial success. About a third of respondents said their companies are now using a modified Stage‐Gate^®process for new product development. Auto companies that have modified their Stage‐Gate^®procedures are also significantly more likely to report (1) use of virtual teams; (2) adoption of collaborative and virtual new product development software supporting tools; (3) having formalized strategies in place specifically to guide the new product development process; and (4) having adopted structured processes used to guide the new product development process. It was found that the most significant difference in use of phases or gates in the new product development process with radical new technology occurs when informal and formal phasing processes are compared, with normal Stage‐Gate^®usage scoring highest for technology departures in new products. Modified Stage‐Gate^®had a significant, indirect impact on organizational effectiveness. These findings, taken together, suggest companies optimize trade‐offs between cost and quality after they graduate from more typical stage‐process management to modified regimes. Implications for future research and management of this challenging process are discussed. In general, it was found that the long‐standing goal of 50% reduction in product development time without sacrificing other development goals (e.g., quality, novelty) is finally within practical reach of many firms. Innovative firms are not just those with new products but also those that can modify their formal development process to accelerate change.     

Reducing Ongoing Product Design Decision‐Making Bias*

The objective of this exploratory study is to add to our understanding of ongoing product design decision‐making to reduce eventual decision‐making bias. Six research questions are formulated with the aim to establish if and how functional membership and informal patterns of communication within an organization influence whether and why employees are willing to engage in product design modifications. We selected as a field site for our study an industrial company that had an internal research and product development operations and where the employees were located on the same site. A three‐step approach within the manufacturing case company was designed: (1) In‐depth interviews were carried out with managers and employees; (2) a survey questionnaire was sent out to all employees involved with a specific product that is subject to potential design modifications; and (3) a post hoc group feedback session was organized to further discuss our findings with the management. First, analysis of the nine in‐depth interviews establishes a taxonomy of product design decisions involving four types of criteria; product‐related, service‐related, market‐related, and feasibility‐related criteria explain why employees would engage or not in product design modifications. Second, it is demonstrated that functional membership has a significant influence on the concern for these decision‐making criteria as well as on the decision to proceed or not with product design modifications. In other words, functional membership influences whether and why employees are more or less willing to make product design modifications. In this manufacturing company, a global industrial player, the differences in concern appear especially for service‐ and market‐related criteria and pertain particularly to the research and development (R&D) and service function. Overall, even though the perceived performance of the specific product under study did not differ significantly among the different departments, it is observed that R&D employees were significantly less in favor of proceeding with product design modifications than other employees were. Third, using UCINET VI software, we provide some explanations for this finding. It is shown that informal patterns of communication (i.e., employee degree centrality) operate a situational opportunity to make modifications to an existing product and a cognitive opportunity influencing the decision to modify product design following an inverted U‐shaped function. Ultimately, we derive practical guidelines for an ideal product–team composition to reduce product design decision‐making bias.     

Managing Knowledge for Innovation: The Case of Business‐to‐Business Services*

The present study builds a typology of organizational knowledge in business services and empirically examines the effects of knowledge on innovation performance. It is suggested that firms differ with respect to their knowledge creation approaches and that these approaches have implications for firms' innovation activities. A conceptual framework of knowledge assets with degrees of tacitness and collectiveness as the principal axes is used to ground the empirical analysis. The organizational knowledge framework is empirically operationalized using survey data from 167 business service firms and supplementary case study evidence from 16 other firms. It is found that business service improvements and new service introductions are significantly associated with collectively held knowledge, such as codified service solutions or team‐based competences and procedures. In contrast, relying solely on tacit knowledge held by individuals may hamper innovation. The results also suggest that tacit collective knowledge is more closely associated with new service introductions, whereas explicit collective knowledge is associated with service improvements. Tacit collective knowledge is thus conducive. A managerial implication is that new service introductions necessitate team competences and routines, whereas incremental service improvements are more likely if procedures are in place to codify services into explicit solutions or technologies. Thus, the knowledge management approach should depend on the strategic orientation of the service firm toward continuous improvement of existing services or development of completely new services.     

Strategies of Innovation and Imitation of Product Languages*

Nowadays, design is recognized as a strategic resource. Customers are increasingly paying attention to the aesthetic, symbolic, and emotional value of products, a value that is conveyed by the design language—that is, the combination of signs (e.g., form, colors, materials) that gives meaning to a product. As a consequence firms are devoting increasing efforts to define a proper strategy for the design language of their products. An empirical analysis was conducted on the product language strategies in the Italian furniture industry; in particular, the present article explores the relationship between innovation and variety of product languages. Companies are usually faced by two major strategic decisions. The first one concerns the innovation of product languages: To what extent should a firm proactively propose new design languages or, rather, should adopt a reactive strategy by rapidly adopting new languages as they emerge in the market? The second decision concerns the variety and heterogeneity of languages in their product range. Should a firm propose a single product language to communicate a precise identity, or should it explore different product languages? Of course, the two strategic decisions—innovativeness and variety of product languages—are closed connected. Analyzing more than 2.000 products launched by 210 firms, the present article explores how the variety of product languages is approached in the strategy of innovators and imitators. The empirical results illustrate an inverse relationship between innovativeness and heterogeneity of product signs and languages. Contrary to what is expected, innovators have lower heterogeneity of product languages. They tend to be strongly proactive and limit experimentations of new languages in the market. Imitators, instead—which would be expected to have low variety since they can invest only in languages that have been proven successful in the market—tend on the contrary to have higher product variety. Eventually, by having lower investments in research on trends of sociocultural models, they miss the capability to interpret the complex evolution of products signs and languages in the market. Strategic decisions on innovativeness and variety of product languages are therefore interrelated; counterintuitively companies should carefully analyze these decisions jointly.