The Influence of Temporal Distance on Consumer Preferences for Technology‐Based Innovations*

Rapid technological developments in the computer and the telecommunications industries have spurred the introduction of technology‐based products. An important feature of these products is that they can be characterized based on improvements in the functionality and the interface. When consumers evaluate a technology‐based product, they face a trade‐off: How should they choose between a product that offers a superior functionality and another product that offers a superior interface? The present research focuses on how temporal distance (i.e., time) from the purchase or use occasion of a technology‐based innovation influences consumers' evaluations of the new product. Specifically, the present study examines how temporal distance affects the trade‐offs consumers make between improvements in the interface and improvements in the functionality of a new product. This research demonstrates that the weight consumers place on the functionality and the interface of a new product is a function of the temporal distance. Specifically, the functionality of the product is valued more in distant future events. In contrast, the interface of the product is more important in the near future. This research has direct implications for various aspects of the new product development process such as customer‐product research methods used, communication strategies, and product preannouncements.     

Design Inertia: Designing for Life‐Cycle Flexibility in Internet‐Based Services*

Managing innovation in rapidly moving environments, such as Internet‐based services, is a major challenge in theory and in practice. Most of the existing literature focuses on the development process as the main area in which innovation takes place. However, in environments where the pace of change of technology and market needs is extremely high, managing service innovations means not only being able to design a good service but also, more importantly, continuously redesigning and adapting the service in order to deal with frequent exogenous changes and opportunities. A high number of innovations therefore must be introduced throughout the entire life cycle of a service. This capability of introducing incremental and radical innovations during the service life cycle (i.e., to adapt a service to contextual changes and opportunities after it has been first released onto the market) at low costs and in the shortest possible time is what is defined here as service life‐cycle flexibility. This process of service adaptation and upgrading implies significant challenges that can be traced back to when a service is first conceived and designed. In fact, many decisions made during the first design process (i.e., the choice of a given database environment) involve a low reversibility rate and may reduce the possibility of taking advantage of future unpredictable opportunities, creating what is called inertia toward innovation. In other words, service life‐cycle flexibility largely depends on how a service has been first designed. This article analyzes two in‐depth case studies of Italian online newspapers and identifies five possible inertia factors that may influence service life‐cycle flexibility, namely (1) technological inertia; (2) internal organizational inertia; (3) external organizational inertia; (4) customer inertia toward changes in the service package; and (5) customer inertia toward changes in the service interaction design. These inertia factors are traced back to the service development process in order to suggest design practices that may increase the service life‐cycle flexibility.     

Exploring Portfolio Decision‐Making Processes*

Portfolio management is the set of activities that allows a firm to select, develop, and commercialize a pipeline of new products aligned with the firm's strategy that will enable it to continue to grow profitably over the long term. To appropriately manage the firm's new product portfolio, decisions must be made about which projects to fund, to what levels, at what point in time. Previous research has investigated portfolio management decisions as individually discrete decisions. Significant streams of research have investigated both project selection and project termination decisions. This research project shows, however, that portfolio decision making may be better understood if it is considered as an integrated system of processes that considers these decisions simultaneously, along with other decisions such as those to continue a project with reduced funding. Using in‐depth data from four diverse case studies, we use a grounded theory approach to develop a general model of how firms make new product portfolio decisions. According to the findings from these cases, effective portfolio decision‐making processes produce a portfolio mindset, focus effort on the right projects, and allow agile decision making across the portfolio's set of projects. Effective portfolio decision making is the result of the interaction between three types of decision‐making processes that managers use in making decisions: evidence‐, power‐, and opinion‐based. Being able to use each of these types of processes to make decisions depends upon having the data inputs that they require. Three domain‐based decision input‐generating processes (i.e., cross‐functional collaboration, practices of critical thinking, and practices of market immersion) are associated with making evidence‐based portfolio decisions. In addition, organizational politics produces the inputs that are associated with power‐based portfolio decision making, while managerial intuition is associated with opinion‐based portfolio decision making. Firm cultural factors, including trust, collective ambition, and leadership style, are associated with how these evidence‐, power‐ and opinion‐based processes are combined into an overall portfolio decision making process, and whether the firm's processes are more rational and objectively made, or more politically and intuitively made. The article presents propositions for how the decision‐making processes interact in their associations with decision‐making effectiveness.     

The Determinants of Seller‐Buyer Interactions during New Product Development in Technology‐Based Industrial Markets

A growing body of literature indicates that the new product development (NPD) process in technology‐based, industrial markets is characterized by collaborative seller‐buyer relationships. Unfortunately, the extant literature is deficient in some significant ways. For example, there is no theoretical framework that explicates the content of these relationships. Also, there is little empirical research on the antecedents or consequences of these relationships. Therefore, managers seeking guidance on how to manage their NPD relationships have lacked appropriate insights. Not surprisingly, ineffective relationship management is a major contributor to new product failure in such settings. Against this background, this study develops and tests a model of seller‐buyer interactions during NPD. The model is based on the relationship marketing literature and is rooted in Transaction Cost Analysis (TCA). It was tested using data from 296 small to mid‐sized firms in a variety of technology‐based, industrial markets. It specifies product co‐development, education, and post‐installation product knowledge generation as three key behavioral dimensions that characterize seller‐buyer interactions during NPD. Our results indicate that the intensity with which these dimensions are undertaken vary with buyer‐related (i.e., perceived buyer knowledge and prior relationship history) and innovation‐related (i.e., product customization and innovation discontinuity) characteristics. For example, perceived buyer knowledge has a positive impact on product co‐development while innovation discontinuity has a positive impact on education. Further, we find that a seller's satisfaction with undertaking these behaviors is moderated by the technological uncertainty in the seller's industry. As a case in point, satisfaction with undertaking product co‐development is reduced when technological uncertainty is high. Collectively, the overall support we find for our model can help NPD managers optimize their relationships with buyers during NPD.     

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.     

The Innovation Value Chain in New Technology‐Based Firms: Evidence from the U.K.

Innovation is central to the survival and growth of firms, and ultimately to the health of the economies of which they are part. A clear understanding both of the processes by which firms perform innovation and the benefits which flow from innovation in terms of productivity and growth is therefore essential. This paper demonstrates the use of a conceptual framework and modeling tool, the innovation value chain (IVC), and shows how the IVC approach helps to highlight strengths and weaknesses in the innovation performance of a key group of firms—new technology‐based firms. The value of the IVC is demonstrated in showing the key interrelationships in the whole process of innovation from sourcing knowledge through product and process innovation to performance in terms of the growth and productivity outcomes of different types of innovation. The use of the IVC highlights key complementarities, such as that between internal R&D, external R&D, and other external sources of knowledge. Other important relationships are also highlighted. Skill resources matter throughout the IVC, being positively associated with external knowledge linkages and innovation success, and also having a direct influence on growth independent of the effect on innovation. A key benefit of the IVC approach is therefore its ability to highlight the roles of different factors at various stages of the knowledge–innovation–performance nexus, and to show their indirect as well as direct impact. This in turn permits both managerial and policy implications to be drawn.     

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     

Technology‐push,market‐demand and the missing safety‐pull: a case study of American Airlines Flight 587

Through a critical case study of the crash of American Airlines Flight 587, this paper draws upon ‘the Social Shaping of Technology’ (SST) approach to offer a reconceptualisation of the technology‐push and market‐demand model for High‐Reliably Organisations (HROs), providing support for a third factor, called here a ‘safety‐pull’. A safety‐pull is defined as organisationally supported reflexivity in which technology innovators and frontline operators collaborate to consider the potential implications of adopting new technologies in HROs and the complex ways this change may impact human operators' work performance, often in risky and unanticipated ways. In contrast to accidents occurring solely as the result of individual operator error, analysing the safety‐pull provides a way to tease out the wide range of factors that can contribute to HRO failures and offers a new SST perspective through which to examine high‐risk operations.     

Creating University Spin‐Offs: A Science‐Based Design Perspective*

Academic entrepreneurship by means of university spin‐offs commercializes technological breakthroughs, which may otherwise remain unexploited. However, many universities face difficulties in creating spin‐offs. This article adopts a science‐based design approach to connect scholarly research with the pragmatics of effectively creating university spin‐offs. This approach serves to link the practice of university spin‐off creation, via design principles, to the scholarly knowledge in this area. As such, science‐based design promotes the interplay between emergent and deliberate design processes. This framework is used to develop a set of design principles that are practice based as well as grounded in the existing body of research on university spin‐offs. A case‐study of spin‐off creation at a Dutch university illustrates the interplay between initial processes characterized by emergent design and the subsequent process that was more deliberate in nature. This case study also suggests there are two fundamentally different phases in building capacity for university spin‐off creation. First, an infrastructure for spin‐off creation (including a collaborative network of investors, managers and advisors) is developed that then enables support activities to individual spin‐off ventures. This study concludes that to build and increase capacity for creating spin‐offs, universities should do the following: (1) create university‐wide awareness of entrepreneurship opportunities, stimulate the development of entrepreneurial ideas, and subsequently screen entrepreneurs and ideas by programs targeted at students and academic staff; (2) support start‐up teams in composing and learning the right mix of venturing skills and knowledge by providing access to advice, coaching, and training; (3) help starters in obtaining access to resources and developing their social capital by creating a collaborative network organization of investors, managers, and advisors; (4) set clear and supportive rules and procedures that regulate the university spin‐off process, enhance fair treatment of involved parties, and separate spin‐off processes from academic research and teaching; and (5) shape a university culture that reinforces academic entrepreneurship by creating norms and exemplars that motivate entrepreneurial behavior. These and other results of this study illustrate how science‐based design can connect scholarly research to the pragmatics of actually creating spin‐offs in academic institutions.     

Determinants of the Level of Knowledge Application: A Knowledge‐Based and Information‐Processing Perspective*

Knowledge application is of key importance in the development of successful new products. Knowledge application refers to an organization's timely response to technological change by utilizing the knowledge and technology generated into new products and processes. This study uses the knowledge‐based theory of the firm and considers its roots in the information‐processing approach to organization theory to identify and structure potential antecedents of knowledge application. This study develops four hypotheses concerning antecedents of knowledge application. The hypotheses are tested using data collected from 277 high‐technology firms. Empirical results indicate that a long‐term orientation supported by a research and development (R&D) budget, formal rewards, and information technology directly increases the level of knowledge application, while R&D co‐location indirectly increases the level of knowledge application. It is surprising to find that an increase in the level of organizational redundancy reduces the level of knowledge application. The findings also suggest that information technologies, lead‐user, and supplier networks do not appear to significantly influence organizational redundancy.     

Exploring the Relationships Between Product Development and Environmental Turbulence: The Case of Mobile TLC Services*

Managing innovation in turbulent environments (e.g., in environments with extreme uncertainty and complexity in market needs and technological opportunities) is a major challenge. A recent stream of studies in the management literature has suggested that when facing turbulent environments, firms should deploy more flexible development processes. This paper approaches this issue by looking at the Italian mobile telecommunications (TLC) industry. Nine in‐depth case studies were conducted in five different companies. Data analysis showed some important results. First of all environmental turbulence should be considered to be project specific rather than company or industry specific. Moreover, it can come from both shift in the market needs and in the technology. Nevertheless, it seems clear that having rapid changes is not enough to have environmental turbulence. If rapid changes can be somehow foreseen, there is no turbulence at all. Hence, when approaching projects in potentially turbulent environments, managers should assess both rapidity and unpredictability of the environment. Finally, looking at the in‐depth cases, the paper points out what of the main practices to increase flexibility that are described in literature are actually adopted by companies. In case of turbulence (both in the market and/or in the technology) companies delay concept freezing point. Moreover, in the case of technological turbulence, they also leverage on rapid project iterations, whereas in case of market turbulence they more likely adopt early experiments involving customers, formal and cross‐functional project teams, and flat organizational structures.     

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.     

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.     

The Role of Value‐Informed Pricing in Market‐Oriented Product Innovation Management*

Although the positive effect of a market orientation on new product success is widely accepted and the market orientation literature has increased its understanding of how a market orientation leads to performance, the extant literature has overlooked the role of value‐informed pricing in the relationship. Value‐informed pricing is a pricing practice in which the decision makers base the price of the new product on the customers' perceptions of the benefits that the product offers and how these benefits are traded by customers against the price (that has yet to be determined). Considering that pricing mistakes may hit hard on the profitability of product innovations, it is important to firms to have a good understanding of its role. This study develops a framework in which value‐informed pricing is integrated in the relationship between market orientation and new product performance. A distinction is made between customer and competitor orientations, and relative product advantage is also included in the conceptual model. The model is tested on data obtained from managers based on a cross sectional sample of 144 firms. The respondents were involved in a decision‐making process of the pricing of a new product. The model is tested using structural equations modeling. The results show that value‐informed pricing has a strong effect on new product performance. It also reveals that each component of a market orientation fulfills a specific role in a market‐oriented organization. Value‐informed pricing is found to have important mediating effects in the market orientation–new product performance relationship. Results show that firms with a strong customer orientation engage in value‐informed pricing and develop superior benefits to customers in an advantageous product. In turn, both value‐informed pricing and relative product advantage positively affect new product market performance. However, no significant effect of competitor orientation on value‐informed pricing is found. Combined with the finding that competitor orientation negatively affects relative product advantage, this suggests that competitor orientation may hurt new product performance when this orientation is not balanced with a strong customer orientation. The results also portray that value‐informed pricing leads to higher product advantage. Interestingly, this relation is contingent on the degree of interfunctional coordination within the firm. This suggests that the relationship between market orientation and new product performance is strongest if firms integrate value‐informed pricing in the new product development process. In this sense, a market‐oriented firm mirrors the customer value perception that makes a trade‐off between benefits and price.     

The Complementary Roles of Applied and Basic Research: A Knowledge‐Based Perspective*

While a great deal of scholastic effort has gone into discovering the multifaceted relationships between applied research initiatives and subsequent performance, relatively little empirical research addresses the performance impact from firm investments in basic research initiatives. Even less addresses the interactive roles of both types of research. The authors conceptualize and empirically evaluate the interactive relationship between applied and basic research initiatives and firm performance. Applied and basic research projects are knowledge creation activities in a product development domain, and both initiatives enhance the stored knowledge of a firm. Stored knowledge is the fuel that drives the product development engine. Applied research initiatives assimilate and exploit stored knowledge to develop new products. Basic research initiatives contribute to and enhance the stock of knowledge from which the applied initiatives are drawn. This expanded base of stored knowledge has positive ramifications for subsequent applied research initiatives. Results indicate that firms that engage in moderate or higher levels of applied research will see enhanced performance returns from additional investments in basic research. Conversely, firms that engage in relatively lower levels of applied research see no performance enhancement at any level of investment in basic research. Firms that rely on a flow of product innovations to provide a continued income stream must certainly invest in applied research initiatives. However, additional investment in directed basic research initiatives will augment future applied projects and could become the source of sustainable competitive advantage.     

Climbing the Ladder: Gender‐Specific Career Advancement in Financial Services and the Influence of Flexible Work‐Time Arrangements

The aim of this study is to gain insight into the gender‐specific career advancement of about 10,000 middle‐ and top‐level managers in a Dutch financial services company. Our results indicate that women earn less, work at lower job levels, but show slightly higher career mobility than men. However, working a compressed four‐day nine‐hours‐a‐day workweek turns out to be favourable for women who are ‘rewarded’ for working full time, whereas men are ‘penalized’ for not working five days a week. Introducing this form of flexibility into a predominantly masculine organizational culture offers new opportunities for career advancement, albeit solely for women.     

An International Investigation of Problem‐Solving Performance in the Semiconductor Industry*

Using a unique survey of engineers in major semiconductor companies located in Japan, South Korea, and the United States, this article analyzes how a firm's human resource (HR) system (i.e., practices that structure work, develop skills, and reward performance) and knowledge system (i.e., information access, sharing and control) are related to the problem‐solving performance of engineers. Because of the short product market life cycles in the semiconductor industry, expeditious problem solving is an important performance goal. Therefore, this article examines the performance of engineers in terms of the time it takes them to solve problems in the context of their firms' HR and knowledge systems. It was anticipated during this study that externally oriented organizational systems, which support individual career performance and mobility (an externally oriented HR system) and the use of private knowledge sources (an externally oriented knowledge system), would be associated with superior performance in terms of problem‐solving speed. The findings support this hypothesis and demonstrate the importance of externally oriented HR systems and at the same time suggest the surprising insignificance of the orientation of the knowledge systems. These findings are applicable to engineers in the sample from the United States, whereas the findings for the Korean and Japanese engineers are inconclusive. International variation is found where the U.S. engineers work under the most externally oriented and the Japanese engineers under the least externally oriented systems, and the Korean engineers fall in between. The findings of this article suggest that when constructing a work environment for new product development, managers should take into account how the underlying components of their organizational systems contribute to an internal or external focus, and how this orientation may influence performance.     

A Conjoint‐Hazard Model of the Timing of Buyers' Upgrading to Improved Versions of High‐Technology Products*

Understanding consumers' upgrading behavior is essential to product planning. Product managers would like to know what fraction of customers would upgrade to new and improved versions, and how fast. This paper presents a method to forecast the sales path of an improved version of a high‐technology product defined in terms of its price path and multiattribute product specification. The approach is potentially useful to managers to answer what‐if questions on the effects of alternative price paths and product specifications of the upgrade on when and what fraction of customers will upgrade. By doing such analysis for several product options under consideration, managers can choose the best feature specification and price path for the upgrade. The proposed approach integrates an individual‐level conjoint utility model with a hazard function specification. The first stage of estimation (i.e., conjoint analysis) measures individual‐level multiattribute utility functions, and the second stage (i.e., duration analysis) calibrates the coefficients of predictor variables of the time to upgrade via maximum likelihood. An illustrative application in the personal digital assistant (PDA) category confirms the predictive validity and potential usefulness of the proposed approach. Among the empirical findings are that higher upgrade costs and expectation of faster product improvement tend to delay buyers' upgrading decisions. The roles of other predictor variables such as product category characteristics, consumer characteristics, and peer pressure were also confirmed.     

An Illustration of Potential Sources of Concept‐Test Error*

A critical step in prelaunch market analysis needing improvement is concept testing. This article reviews the literature on the three basic design decisions inherent to concept testing: (1) stimuli design; (2) respondent selection; and (3) response measurement. By incorporating findings from diffusion theory, the current review identifies a number of potential sources of concept‐test error (e.g., failing to account for adoption orientation could unintentionally mask the response of earlier adopters). Through an exploratory study that replicates in many ways a typical concept test, the present study illustrates how results of conventional concept testing can be sensitive to respondents' adoption orientation and the response measure used. This study offers implications for NPD practice that include accounting for the adoption orientation of respondents, using appropriate response measures such as affective questions for later adopters, and incorporating more product‐related information and repeat exposure for later adopters.