Harnessing the Creative Potential among Users*

User involvement in the development of new products may offer a novel approach to improved methods of meeting customer needs. These users are considered to offer possibilities for generating original, valuable, and realizable ideas leading to successful innovation. However, the merit of users' ideas compared to ideas generated by the company itself has not been investigated empirically. In the present study, advanced users, ordinary users, and professional product developers were given the task of creating ideas for future mobile phone services. The main purpose was to examine the benefit of involving users in suggesting new product ideas in an innovation project. An experimental three‐group design was used in order to assess the output in terms of its original, valuable, and realizable merit. The results indicated that ordinary users create significantly more original and valuable ideas than professional developers and advanced users. Professional developers and advanced users created more easily realizable ideas, and ordinary users created the most valuable ideas. The results were discussed from the viewpoint of divergent thinking. It was suggested that divergent thinking was facilitated through the opportunity to combine different information elements that appeared separate at the outset, such as personal needs coupled with the functionality of mobile phone services.     

Extending Lead‐User Theory: Antecedents and Consequences of Consumers' Lead Userness*

Lead users are found to come up with commercially attractive user innovations and have been shown to be a highly promising source of innovation for new product development tasks. According to lead‐user theory, these users are defined as being ahead of an important market trend and experiencing high benefits from innovating. The present article extends lead‐user theory by exploring the antecedents and consequences of consumers' lead userness in the course of three studies on extreme sports communities. Regarding antecedents, it uncovers that field‐related variables (consumer knowledge and use experience) as well as field‐independent personality variables (locus of control and innovativeness) help explain an individual's lead userness. These variables might therefore be used as a proxy to identify the rare species of lead users. With regard to consequences, it uncovers that lead users demonstrate innovative behavior not only by creating new product ideas but also by adopting new commercial products more heavily and faster than ordinary users. This highlights the idea that lead users might not only be valuable to idea‐generation processes for radically new concepts; instead, they might also be relevant to more general issues in the marketing of new products.     

Synergies among Producer Firms,Lead Users,and User Communities: The Case of the LEGO Producer–User Ecosystem

While many firms today proactively involve users in their new product development efforts using a wide variety of methods such as the lead user method, firm‐hosted user communities, or mass customization toolkits, some pioneering firms are experimenting with the creation of sustainable producer–user ecosystems designed for the continuous exploration and exploitation of business opportunities. In this paper, the functioning of such ecosystems is studied with particular emphasis on the synergies they can yield. Based on an explorative and longitudinal multiple case study design, the producer–user ecosystem of the firm LEGO is analyzed, and three main actors in the ecosystem are identified: entrepreneurial lead users who aim to start their own businesses, a vibrant user community, and the LEGO company as the focal producer firm and facilitator for multiple user‐to‐user and user‐to‐producer interactions. Our study reveals three kinds of synergies: (1) reduced risk for entrepreneurial lead users and the focal producer firm, (2) the extension of the design space of the focal producer firm's products, and (3) the creation of buzz within the user community. Finally, the theoretical and managerial implications of our findings for innovation researchers and practitioners are discussed.     

Exploring Users' Appropriateness as a Proxy for Experts When Screening New Product/Service Ideas

Despite the popularity and extensive use of engaging users in crowdvoting, very little research has been conducted into the appropriateness of users as substitutes for experts when judging ideas. Accordingly, the purpose of this paper is to investigate the appropriateness of using users as a proxy for professional experts during the initial idea screening of new product/service ideas. In other words, are users' assessments during idea screening conformant with professional experts' assessments and are they reliable as a proxy for experts during idea screening? In a comparative study, two different approaches to outsourcing the screening of wireless ideas to users are examined, including assessment by two different user panels: (1) technically skilled users and (2) technically naïve users. These two approaches were compared with the assessments made by professional experts. The results showed no conformance between users and experts when comparing their absolute scores. However, during a relative comparison (the ranking of ideas), both user panels were conformant with the professional experts. A test of the user panels' ability to select the same top ideas as the professional experts was successful, indicating good conformance between the user panels and the professional experts. This paper's contribution is knowledge of how conformant external users are compared with professional expert judges during idea screening. The results indicate that companies can employ users during the initial screening process using criteria assessment to select the best ideas for further elaboration, something that would significantly reduce the number of ideas. The paper suggests an alternative design to crowdvoting, whereby the users assess the relevant criteria.     

Leveraging ideas from user innovation communities: using text‐mining and case‐based reasoning

User innovation communities, where end users voluntarily share their ideas about new products or services, have become an important source of innovation. While efforts have been made to extract and develop ideas from these sources, existing studies have largely focused on company‐led efforts to facilitate user participation, rather than on voluntary user discussions within communities themselves. As a remedy, this research proposes to directly target those voluntary ideas from user innovation communities for product/service innovation. Because quantities of textual information within these communities are rather massive, we propose a modified and integrated approach of text‐mining (TM) and case‐based reasoning (CBR). Specifically, by constructing two casebases on ideas and existing products using TM and checking for overlap between the two using CBR, the approach enables the identification of opportunities for innovation and reference products for adaptation. We demonstrate the approach through a case of mobile apps in Apple App Store, and our findings suggest that the approach can help firms and users/developers broaden the source of ideas and leverage them into new product concepts.     

Forecasting the Commercial Attractiveness of User‐Generated Designs Using Online Data: An Empirical Study within the LEGO User Community

Web 2.0 technologies and the rapid emergence of virtual user communities have created new challenges and opportunities for producer firms. The challenges concern the problem of idea overload when a large number of users are empowered to develop their own design creations. At the same time, opportunities arise because firm‐hosted user communities offer a promising source of creativity outside the firms' boundaries. In this paper, we study which data present in firm‐hosted online communities on user‐generated designs and user‐designers can be used to help a focal producer firm to reduce its workload in the selection phase by predicting which user‐generated designs it would most likely perceive as commercially attractive. Prior research emphasizes that among the vast amount of ideas generated in online user communities, it is the lead users' ideas that tend to stick out in terms of commercial attractiveness. Our paper aims to provide the next step by developing a heuristic for filtering commercially attractive ideas that are generated in online user communities. Therefore, prior lead user research is used as a point of reference for our study. This research stream has produced rich insights into the characteristics of users who are capable of developing new products that are commercially attractive from the perspective of a focal producer firm, as well as the characteristics of artifacts that such users tend to develop. Based on prior lead user research, we use theories on problem solving, creativity, and new product adoption to develop hypotheses on the factors that might influence the attractiveness of user‐generated designs from the focal producer firm's perspective in such a setting. Applying multilevel generalized linear modeling, 1799 designs from 116 user‐designers in the LEGO user community are analyzed. Our findings show that three prominent variables, the complexity of a given design, positive feedback from the community on specific designs, and the intensity of design activity by a user‐designer, can be used by a focal producer firm as filtering heuristics for the selection of promising user‐generated designs. We find an inverted U‐shaped relationship between the complexity of a user‐generated design and its perceived commercial attractiveness. Furthermore, we find a positive relationship between the positive feedback received by a given user‐generated design within the peer community and its perceived commercial attractiveness, as well as a U‐shaped relationship between the intensity of a certain user‐designer's activities and the likelihood that a given design by that user will be perceived as commercially attractive. The study is a first step toward a new Web‐based marketing research approach that can enable firms to filter vast numbers of user‐generated designs more effectively and efficiently.     

Finding Commercially Attractive User Innovations: A Test of Lead‐User Theory*

Firms and governments are increasingly interested in learning to exploit the value of lead‐user innovations for commercial advantage. Improvements to lead‐user theory are needed to inform and to guide these efforts. The present study empirically tests and confirms the basic tenets of lead‐user theory. It also uncovers some new refinements and related practical applications. Using a sample of users and user–innovators drawn from the extreme sport of kite surfing, an analysis was made of the relationship between the commercial attractiveness of innovations developed by users and the intensity of the lead‐user characteristics those users display. A first empirical analysis is provided of the independent effects of its two key component variables. In the empirical study of user modifications to kite‐surfing equipment, it was found that both components independently contribute to identifying commercially attractive user innovations. Component 1, the high expected‐benefits dimension, predicts innovation likelihood, and component 2, the ahead of the trend dimension, predicts both the commercial attractiveness of a given set of user‐developed innovations and innovation likelihood due to a newly proposed innovation supply side effect. It was concluded that the component variables in the lead‐user definition are indeed independent dimensions, so neither can be dropped without loss of information—an important matter for lead‐user theory. It also was found that adding measures of users' local resources can improve the ability of the lead‐user construct to identify commercially attractive innovations under some conditions. The findings reported here have practical as well as theoretical import. Product modification and development has been found to be a relatively common user behavior in many fields. Thus, from 10 to nearly 40 percent of users report having modified or developed a product for in‐house use in the case of industrial products or for personal use in the case of consumer products in fields sampled to date. As a practical matter, therefore, it is important to find ways to selectively identify the user innovations that manufacturers will find to be the basis for commercially attractive products in the collectivity of user‐developed innovations. The implications of these findings for theory as well as for practical applications of the lead‐user construct are discussed—that is, how variables used in lead‐user studies can profitably be adapted to fit specific study contexts and purposes.     

The Value of Crowdsourcing: Can Users Really Compete with Professionals in Generating New Product Ideas?

Generating ideas for new products used to be the exclusive domain of marketers, engineers, and/or designers. Users have only recently been recognized as an alternative source of new product ideas. Whereas some have attributed great potential to outsourcing idea generation to the “crowd” of users (“crowdsourcing”), others have clearly been more skeptical. The authors join this debate by presenting a real‐world comparison of ideas actually generated by a firm's professionals with those generated by users in the course of an idea generation contest. Both professionals and users provided ideas to solve an effective and relevant problem in the consumer goods market for baby products. Executives from the underlying company evaluated all ideas (blind to their source) in terms of key quality dimensions including novelty, customer benefit, and feasibility. The study reveals that the crowdsourcing process generated user ideas that score significantly higher in terms of novelty and customer benefit, and somewhat lower in terms of feasibility. However, the average values for feasibility—in sharp contrast to novelty and customer benefit—tended to be relatively high overall, meaning that feasibility did not constitute a narrow bottleneck in this study. Even more interestingly, it is found that user ideas are placed more frequently than expected among the very best in terms of novelty and customer benefit. These findings, which are quite counterintuitive from the perspective of classic new product development (NPD) literature, suggest that, at least under certain conditions, crowdsourcing might constitute a promising method to gather user ideas that can complement those of a firm's professionals at the idea generation stage in NPD.     

Definition of innovation projects in small firms: A Spanish study

Small and medium‐sized enterprises (SMEs) are the main holders of the European economy and innovation projects are essential tools for SMEs to ensure their growth. A high percentage of innovation projects implemented by SMEs lacks planning and initial management, which causes the appearance of important problems for the SMEs survival. The authors have confirmed with a field study of 72 Spanish small firms that a lot of these problems arise from an incomplete project definition, so it is necessary to help SMEs to have a specific methodology that is appropriate to their own characteristics and projects. The statistical analysis shows how the project management knowledge helps to a better project definition, contributing to the project alignment with the company strategy. Also, it reveals other problems related to the project definition as planning, budget, market and financing. Of this analysis, it concludes that the definition phase supports the other phases and is essential in order to achieve project success. This paper presents an ‘integration model of factors’ that helps SMEs in the management of the definition phase of their innovation projects. This model relates the various areas of analysis needed to ensure their integration at the project definition. The relationships between the different model areas have been defined, showing the way to integrate the technical, economic and strategic outlooks of project objectives management in the definition phase of the project. This model has been implemented in 21 new innovation project definitions. The users' valuation has been very positive with a 90.4% of success and all of the model users are interested in implementing the model again in next projects. The main advantages highlighted were user‐friendliness, intuitive model and easy application.     

An inquiry on dimensions of external technology search and their influence on technological innovations: evidence from Chinese firms

A central part of technological innovation for industrial firms involves search for new external knowledge. A well‐established stream of literature on firms' external knowledge search has demonstrated that firms investing in broader search may have a great ability to innovate. In this paper, we explore the influences of technology search on firms' technological innovation performance along three distinctive dimensions: technical, geographic, and temporal dimensions, using a unique panel data set containing information on Chinese firms that were active in technology in‐licensing and patenting during the period 2000–2009. Our findings reveal that Chinese firms' technological innovation performances are related to external technology search in quite different ways from the ones suggested in the extant literature using evidence from developed countries. We find that Chinese firms searching ‘locally’ along the technical dimension have better technological innovation performance than those searching ‘distantly’. However, when a Chinese firm in‐license relatively old (mature) technologies or those from geographically nearby areas, it will be less bounded to searching familiar technical knowledge.     

The Relationship of Individual Capabilities and Environmental Support with Different Facets of Designers' Innovative Behavior

Theoretical perspectives on employee creativity have tended to focus on an individual's capability to generate original and potentially useful ideas, whereas definitions of innovation also include the process of putting those new ideas into practice. This field study therefore set out to test how theoretically distinct types of individual knowledge and skills are related to different aspects of employees' innovative behavior in terms of both their new idea generation and idea implementation. Using a sample of design engineers (n = 169) in a multinational engineering company, measures were taken of different aspects of innovative work behavior (patent submission, real‐time idea submission, idea implementation) and a range of individual capabilities (creativity‐relevant skills, job expertise, operational skills, contextual knowledge, and motivation) and environmental features (job control, departmental support for innovation). Analyses showed that creativity‐relevant skills were positively related to indices of idea generation but not to idea implementation. Instead, employees' job expertise, operational skills, and motivation to innovate demonstrated a stronger role in idea implementation. In terms of environmental factors, job control showed no positive relationship with innovative work behavior while departmental support for innovation was related to employees' idea generation but not idea implementation. The theoretical perspective that correlates of idea generation differ in certain aspects to those for idea implementation are confirmed by the study. Practical implications for organizations wishing to improve their innovativeness are discussed in terms of tailored training, development, motivational, and environmental interventions designed to improve the capabilities of individuals to engage in all parts of the innovation process.     

Design,Meanings, and Radical Innovation: A Metamodel and a Research Agenda*

Recent studies on design management have helped us to better comprehend how companies can apply design to get closer to users and to better understand their needs; this is an approach usually referred to as user‐centered design. Yet analysis of design‐intensive manufacturers such as Alessi, Artemide, and other leading Italian firms shows that their innovation process hardly starts from a close observation of user needs and requirements. Rather, they follow a different strategy called design‐driven innovation in this paper. This strategy aims at radically change the emotional and symbolic content of products (i.e., their meanings and languages) through a deep understanding of broader changes in society, culture, and technology. Rather than being pulled by user requirements, design‐driven innovation is pushed by a firm's vision about possible new product meanings and languages that could diffuse in society. Design‐driven innovation, which plays such a crucial role in the innovation strategy of design intensive firms, has still remained largely unexplored. This paper aims at providing a possible direction to fill this empty spot in innovation management literature. In particular, first it proposes a metamodel for investigating design‐driven innovation in which a manufacturer's ability to understand, anticipate, and influence emergence of new product meanings is built by relying on external interpreters (e.g., designers, firms in other industries, suppliers, schools, artists, the media) that share its same problem: to understand the evolution of sociocultural models and to propose new visions and meanings. Managing design‐driven innovation therefore implies managing the interaction with these interpreters to access, share, and internalize knowledge on product languages and to influence shifts in sociocultural models. Second, the paper proposes a possible direction to scientifically investigate the management of this networked and collective research process. In particular, it shows that the process of creating breakthrough innovations of meanings partially mirrors the process of creating breakthrough technological innovations. Studies of design‐driven innovation may therefore benefit significantly from the existing body of theories in the field of technology management. The analysis of the analogies between these two types of radical innovations (i.e., meanings and technologies) allows a research agenda to be set for exploration of design‐driven innovation, a relevant as well as underinvestigated phenomenon.     

How Ideation Portfolio Management Influences Front‐End Success

The front end of innovation is recognized as an important driver for successful new products and business prosperity. On the one hand, companies must generate a sufficient number and variety of high‐quality ideas to obtain a well‐balanced portfolio of potentially successful innovation projects. On the other hand, companies must strictly select and prioritize promising ideas and concepts because resource constraints do not allow for the pursuit of every idea. Therefore, companies must practice ideation portfolio management to simultaneously support the variety and selection of ideas and concepts before they enter the innovation project portfolio. To date, there is no research on how ideation portfolio management affects the performance of the front end and of the eventual project portfolio. The current study addresses this research gap in an empirical cross‐industry investigation of 175 medium‐sized and large firms in Germany using a double‐informant design. Ideation portfolio management is conceptualized with three elements: ideation strategy, process formalization, and creative encouragement. We find that all three elements independently and significantly contribute to front‐end success. The results also show that front‐end success mediates the relationship between the elements of ideation portfolio management and project portfolio success. More importantly, we find significant interaction effects between creative encouragement and process formalization and between creative encouragement and ideation strategy. The findings suggest that these elements of ideation portfolio management are complementary and should be balanced to maximize the performance of the front end and the eventual innovation project portfolio.     

User Involvement throughout the Innovation Process in High‐Tech Industries

The feedback and input of users have been an important part of product innovation in recent years. User input has been studied from different approaches and is applied through different methods in particular phases of the innovation process. However, these methods are not integrated into the whole innovation process and are used only in particular phases or on an ad hoc basis. New developments in technology, social media, and new ways of working closer with customers have opened up new possibilities for firms to gain user input throughout the whole innovation process. However, the impact that these new developments in technology offer for user input innovation in high‐tech firms is unclear. Therefore, we study how high‐tech firms collect and apply user feedback throughout the whole innovation process. The paper is based on a comparative case study of eight cases in the high‐tech industry, in which qualitative data collection was applied. The key contribution of the paper is a conceptual framework on user data‐driven innovation throughout the innovation cycle. This framework gives insight into user involvement types and approaches to collect and apply user feedback throughout the innovation process.     

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.     

Suppliers versus Lead Users: Examining Their Relative Impact on Product Variety

Collaboration with parties external to the new product development (NPD) process is seen as a means to reduce costs and improve the product offering to customers. On the suppliers' side, collaboration during the NPD process may lead to a faster and more efficient process. On the users' or customers' side, collaboration may provide ideas for entirely new products and/or modifications to existing ones. This paper examines how collaboration with suppliers and a group of users that experience needs unknown to the public, the so‐called lead users, affects the resulting variety of the products offered. The paper focuses on product variety because of its increasing perceived importance in the satisfaction of changing customer needs. Hierarchical regression analysis of survey data collected from 313 U.K. manufacturers revealed a significant positive relationship between collaboration and product variety. The key findings are that increasing the extent of collaboration with lead users and with suppliers during the NPD process will increase the variety of products offered to customers, and that lead users have a higher impact on product variety to suppliers. Previous studies have found that collaboration increases NPD performance, but to the best of the authors' knowledge, this is the first to explicitly explore the link with product variety. The paper concludes by discussing the findings' practical implications, limitations, and recommendations for future studies.     

The Impact of Product Portfolio Strategy on Financial Performance: The Roles of Product Development and Market Entry Decisions

Innovation is one of the most important issues facing business today. The major difficulty in managing innovation is that managers must do so against a constantly shifting backdrop as technologies, competitors, and markets constantly evolve. Managers determine the product portfolio through key decisions about product development and market entry. Key strategic questions are what portfolio strategies provide the greatest reward. The purpose of this study is to understand the relative financial values of each component of a product portfolio. Specifically, the paper examines the short‐term and long‐term financial impacts of product development strategy and market entry strategy. These strategies reflect two critical tensions that must be balanced in product portfolio decision making and essentially determine a firm's product portfolio. In doing so, the paper also investigates how a firm's capabilities drive each component of a product portfolio. From the empirical analyses in the context of the biomedical device industry, the paper found important insights regarding product portfolio strategies. First, a large product portfolio helps a firm's financial performance. In particular, the pioneering new products have strongest impacts on short‐term performances, and nonpioneering mature products do not provide significant contribution. Second, the results indicate a persistent first‐mover advantage. The first‐to‐market new products yield not only an immediate effect, but also persistent long‐term effects, suggesting that it is important to be first in the market even though there may be short‐term losses. Third, the results suggest the need to balance between “mature” and “new” products. Also, firms need to balance “first‐to‐market” and “late‐entered” products. Because a new or pioneering product requires more resource, it may hurt other products in the portfolio. Thus, without support from mature or follower products, new products and pioneering products alone may not increase firm sales or profit. Fourth, from a long‐term perspective, the paper found that the financial market only rewards a firm's overall capability to deliver new products first in the marketplace. Thus, short‐term performance is mainly driven by product‐level innovativeness, whereas firm‐level innovativeness enhances forward‐looking long‐term performance. Fifth, the paper also found that pioneering new products are driven by integrating both primary and complementary technological capabilities. And nonpioneering new products are mainly driven by the capabilities in primary technology domain. These results provide important insight into the relative value and timing of return on investment in radical versus incremental innovation and alternative market entry strategies. By understanding the performance trade‐offs of these different factors in the short and long term, one can develop better guidelines for optimizing innovation strategies, and their dependence on both external and internal environmental conditions.     

When Does Search Openness Really Matter? A Contingency Study of Health‐Care Innovation Projects

Given the growing popularity of the open innovation model, it is increasingly common to source knowledge for new product ideas from a wide range of actors located outside of organizational boundaries. Such open search strategies, however, might not always be superior to their closed counterparts. Indeed, widening the scope of knowledge sourcing at the ideation stage typically comes at a price given the substantial monetary and nonmonetary costs often incurred in the process of identifying, assimilating, and utilizing external knowledge inputs. Considering both the benefits and costs of search openness, the authors develop a project‐level contingency model of open innovation. This model suggests that search openness is curvilinearly (taking an inverted U‐shape) related to new product creativity and success. They hence assume that too little as well as too much search openness at the ideation stage will be detrimental to new product outcomes. Moreover, they argue that the effectiveness of open search strategies is contingent upon the new product development (NPD) project type (typological contingency), the NPD project leader (managerial contingency), and the NPD project environment (contextual contingency). To test these propositions empirically, multi‐informant data from 62 NPD projects initiated in the English National Health Service (NHS) were collected. The econometric analyses conducted provide considerable support for a curvilinear relationship between search openness and NPD outcomes as well as for the hypothesized contingency effects. More specifically, they reveal that explorative NPD projects have more to gain from search openness at the ideation stage than their exploitative counterparts. Moreover, the project‐level payoff from search openness tends to be greater, when the project leader has substantial prior innovation and management experience, and when the immediate work environment actively supports creative endeavors. These findings are valuable for NPD practice, as they demonstrate that effective knowledge sourcing has much to contribute to NPD success. In particular, pursuing an open search strategy might not always be the best choice. Rather, each NPD project is in need of a carefully tailored search strategy, effective leadership, and a supportive climate, if the full value of external knowledge sourcing is to be captured.     

Knowledge,firm boundaries,and innovation: Mitigating the incumbent's curse during radical technological change

We explore the relationship between a firm's organization and its ability to face a radical technological change. We suggest that, during such a change, the presence of both in‐house upstream knowledge and downstream market linkages, within a firm's boundary, has its advantages. We test our predictions in the context of the robotics industry where manufacturers of mechanically controlled “brawny” robots, which were valued mainly for their payload capacity, faced the advent of electrically controlled “brainy” robots that emphasized accuracy and repeatability. We find that “preadapted” firms—the ones with prior relevant technological knowledge and with access to internal users of “brainy” robots—were the innovation leaders in the emerging new technology but were laggards in the old technology. Copyright © 2014 John Wiley & Sons, Ltd.     

How functional involvement affects the transformation of external knowledge into innovation outcomes

This paper aims at investigating organizational mechanisms through which firms involved in open innovation initiatives can acquire external knowledge, integrate it with the existing one residing in the diverse functional areas, and transform it into innovation outcomes. Following the knowledge transformation perspective, we use the notions of early‐stage and late‐stage functional involvement, and explain their mediating effects on a firm's innovation performance. Based on a sample of 131 international firms involved in open innovation projects, we find that high involvement of functions related to the early stage of the innovation process – notably new concept generation, research and development, and design and testing – fully mediates the effect of external knowledge transfer on innovation performance. Similarly, high involvement of functions related to the late stage of the innovation process – notably manufacturing, marketing, distribution, and logistics – has significant indirect effect on innovation performance but lower than that of early‐stage functional involvement. Furthermore, the empirical research reveals that early‐stage functional involvement mediates the positive effect of external knowledge transfer on late‐stage functional involvement. Theoretical and practical implications of our findings are discussed.