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.     

Seeking the Ideal Level of Design Newness: Consumer Response to Radical and Incremental Product Design

To develop successful new products, new product development managers need to have a thorough understanding of the consumer adoption process, specifically in how consumers evaluate new products. This research examines the value of product design for consumers' evaluation of radical and incremental innovations. The primary goal was to empirically test how design newness affects consumer response to product innovations. Design newness (also referred to as novelty or atypicality) is defined as the deviation in a product design from the current design state of a certain product category. Although prior research has suggested that higher levels of design newness may have a positive effect on consumers' evaluations of new products, higher levels of design newness may also have negative consequences for consumer response to radical innovations. An experimental context (n = 130) using systematically designed products for three product categories was used to test how consumers respond to high and low levels of design newness for both radical and incremental innovations. The findings show that for radical innovations, embodying the product in a design with a low (versus high) level of design newness led to more positive evaluations and less learning‐cost inferences. Because the functional attributes of a radical innovation are incongruent to existing products, consumers find it difficult to access the relevant product category schema in order to transfer knowledge to the new product. Because of this poor knowledge transfer, consumers may feel that they lack the ability to make effective use of the radical innovation, resulting in greater learning costs. In this case, a product design with a low level of design newness can provide consumers with a frame of reference for understanding the radical innovation. Contrasting this result, no difference was found between a low and a high level of design newness for incremental innovations. For incremental innovations, by definition the functional attributes characteristic to the innovation are highly comparable with those products that are already stored in consumers' memory. Thus, there is no need for an additional reconfirmation of the preexisting schema through product design, and consumers are able to access the relevant schema regardless of the level of design newness inherent in the product. These findings are integrated into a discussion of the managerial implications and the potential avenues for future research.     

Exploring the Contributions of Involving Ordinary Users in Ideation of Technology‐Based Services*

Lead users have long been acknowledged as important contributors to the market success of innovative products and services. The ability of lead users to be such effective innovators has been ascribed to a combination of adequate technological expertise and superior knowledge of the user domain so‐called use experience. Drawing on the apparent success of lead users in innovation, many companies are now attempting to involve other types of users, namely, ordinary users, for ideation at the fuzzy front end (FFE) of new product and service development. However, ordinary users do not usually possess the technological knowledge of lead users, and the existing literature provides little guidance on how to manage such user involvement or its expected contributions. The purpose of the present study is, therefore, to contribute to scholarly knowledge regarding the benefits and management of user involvement during the ideation phase of innovation in technology‐based services. More specifically, the study investigates the contribution made in this respect by “ordinary” users, as opposed to professional developers. The research questions that are addressed are as follows: (1) What contributions do ordinary users make when involved in the FFE for ideation of new technology‐based services; and (2) how is the contribution of the users affected by their knowledge of the underlying technology? The study addresses these questions through a literature review and conceptual analysis of the involvement of users in innovation in mobile telephony, followed by an empirical study using a quasi‐experimental design in which the independent variable is the users' technological knowledge of the underlying mobile telephone system and the dependent variable is the quality of the created idea‐proposals from an innovation perspective. Various scenarios involving guided users, pioneering users, and professionals are investigated. The study finds that the users' knowledge of the underlying technology has an effect on their propensity to contribute with incremental or radical new ideas. The ideas from guided users tend to be more incremental whereas the pioneering users' ideas are more radical. Contrary to the users in the guided user scenarios, the users in the pioneering user scenarios have a propensity to produce ideas that challenge the prevailing dominant logic of the company; these ideas can be used to assist the company to think in new trajectories. The paper proposes that ordinary users should not be expected to contribute ideas that can be directly put into the new product development process; rather, ordinary user involvement should be regarded as a process whereby a company learns about users' needs and is inspired to innovate. The paper concludes that user involvement can actually be a stimulus for review of a company's business strategy.     

Submission quality in open innovation contests - an analysis of individual-level determinants of idea innovativeness

The digital age allows for integration of dispersed groups into the innovation process. These heterogeneous groups of individuals varying in size and knowledge distribution, also referred to as crowds, build the basis for open innovation contests (OIC), one of the most common forms of crowdsourcing innovation. Different from more focused forms of open innovation, at OIC innovation managers often do not identify or evaluate participants ex-ante. Instead, innovation managers often make use of open calls for participation and assume efficient self-selection of participants i.e., that only motivated and qualified participants will volunteer and engage in the innovation contest. This behavior reflects one of the key assumption of crowdsourcing in participatory innovation settings. However, not every self-selected member is in the position to solve the contest task appropriately. Hence, innovation contests often result in large numbers of submissions, covering a wide range of quality levels, causing decision biases and significant workloads for innovation managers to select ideas. This problem is referred to as “crowding”. In order to reduce “crowding”, open innovation researchers are interested in understanding which types of individuals make the “best” contributions and therefore should be preferably encouraged to participate in in OIC. In this paper, we are assessing what characterizes those participants who submit innovative ideas to OIC, in particular those who submit incremental ideas vs. those who have more radical ideas. Drawing on the componential model of creativity and data generated in innovation contest held by chocolate producer Ritter Sport, we analyze the effect of participants‘ creativity, domain knowledge, and several motivational factors on the innovativeness of their contributions. We find all of these factors to affect the innovativeness of an idea. However, regarding generating incremental or radical innovations, some factors have opposing roles. Our findings imply for practice that innovation managers must decide which type of innovations they intend to generate and then design contests to attract participants with the required characteristics, if they want to increase the number of appropriate ideas and reduce the problems of “crowding”.     

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.     

Product Development as Core Competence: How Formal Product Development Practices Differ for Radical,More Innovative,and Incremental Product Innovations

Although universally recognized as an important consideration in building product development (PD) competency, the effect of a firm's ability to vary its PD practices to develop winning products has been given scant attention in large‐scale, multiorganizational, quantitative studies. This research explores differences in formal new PD practices among three project types—incremental, more innovative, and radical. Using a sample of 380 business units, this research investigates how development practices differ across these three classes of innovation with respect to the formal PD process, project organization, PD strategy, organizational culture, and senior management commitment. Our results diverge from several commonly held beliefs about formal PD processes and the management of radical versus incremental innovations. Our results indicate that radical projects are managed less flexibly than incremental projects. Instead of being an offshoot of less strategic planning, radical projects are just as strategically aligned as incremental projects. Instead of being informally introduced entrepreneurial adventures, radical projects are often the result of more formal ideation methods. While these results may be counterintuitive to suppositional models of how to radical innovation happens, it is the central theme of this research to show how radical innovation actually happens. Our findings also provide a foundation for reexamining the role of control in the management of innovation. As the level of innovativeness increased, so too did the amount of controls imposed—e.g., less flexibility in the development process, more professional, full‐time project leadership, centralized executive oversight for new products, and formal financial assessments of expected NP performance.     

Seeking Simplicity in Complexity: The Relative Value of Ease of Use (EOU)‐Based Product Differentiation

Models of category acceptance and diffusion, including Davis's technological acceptance model (TAM), have established that ease of use (EOU) is a significant determinant of technological product adoption. This supports user‐centered design philosophies, where aspects of cognitive attractiveness (e.g., logical to use) and emotional attractiveness (e.g., lack of frustration in use) are essential, and contrasts traditional design practices where physical attractiveness dominates concern. These studies consider the impact of EOU on category (primary) demand. It is unclear whether firms should incorporate EOU into design and positioning strategies to differentiate their products from others in the same category that perform better on functional features. A random utility theory‐based choice model is used to measure the relative value of EOU. In a new product category (DVD recorders; n = 496) and one that is more established (cell phones; n = 202), consumers were found to forgo functional features in preference for products better rated on EOU. With implications for segmentation, those seeking simplicity were older, female, educated, and with less product knowledge, while those already owning a complex phone made replacement decisions with less concern for EOU. The findings support EOU‐based differentiation strategies as a legitimate alternative to other forms of differentiation.     

Learning from leading-edge customers at The Sims: opening up the innovation process using toolkits

Recently, toolkits for user innovation and design have been proposed as a promising means of opening up the innovation process to customers. Using these tools, customers can take on problem-solving tasks and design products to fit their individual needs. To date, arguments in favor of this new concept have been limited to the idea of satisfying each user's needs in a highly efficient and valuable way. The aim of this empirical study is to extend our knowledge of how users deal with 'the invitation to innovate' and how attractive individual user designs might be to other users. In studying the users of toolkits for the immensely popular computer game The Sims , we found that (1) users are not 'one-time shoppers'– in fact, their innovative engagement is rather long-lasting, continuous, evolving, and intense. We also found that (2) leading-edge users do not merely content themselves with the official toolkits provided by the manufacturer. They employ user-created tools to push design possibilities even further. (3) Moreover, individual user designs are not only attractive to the creators themselves; instead, certain innovative solutions are in high demand among other users. Based on our findings, we discuss how toolkits and their users might add to the process of innovation in general. We argue that toolkits could serve as a promising market research tool for guiding a firm's new product development efforts. Furthermore, toolkits may serve as a crèche for interested but inexperienced users who could evolve into leading-edge users over time. These innovative users might then be integrated into more radical product development efforts.     

Innovating the innovation process: an organisational experiment in global pharma pursuing radical innovation

The challenge of managing the fuzzy front end of the innovation process is particularly acute for large, multi‐brand, research and development (R&D)‐intensive firms. Poor performance at generating radical innovations has resulted in many large organisations seeking to innovate how they organise for innovation. This paper presents an inductive, longitudinal study of an organisational experiment that sought to get ‘game‐changing, radical ideas’ into the new product development funnel of a top three pharma. The immediate outcomes of a team‐based internal innovation tournament included 33 new product ideas, 14 of which were radical. The medium term outcome of the experiment was a reorganisation of how the firm now pursues radical innovation activities. We link these outcomes to team leadership, contrasting innovation processes, including decisions about how to incorporate the ‘voice of the consumer’. The inductive, longitudinal study suggests causal interconnections between innovation team leadership, innovation team processes, and innovation outcomes.     

Innovation: A data-driven approach

A newly introduced product or service becomes an innovation after it has been proven in the market. No one likes the fact that market failures of products and services are much more common than commercial successes. A data-driven approach to innovation is proposed. It is a natural extension of the system of customer requirements in terms of their number and type and the ways of collecting and processing them. The ideas introduced in this paper are applicable to the evaluation of the innovativeness of planned introductions of design changes and design of new products and services. In fact, blends of products and services could be the most promising way of bringing innovations to the market. The most important toll gates of innovation are the generation of new ideas and their evaluation. People have limited ability to generate and evaluate a large number of potential innovation alternatives. The proposed approach is intended to evaluate many alternatives from a market perspective.     

Using Product Bundling to Facilitate the Adoption Process of Radical Innovations*

Generally, radical innovations are not easily adopted in the market. Potential adopters experience difficulties to comprehend and evaluate radical innovations due to their newness in terms of technology and benefits offered. Consequently, adoption intentions may remain low. This paper proposes bundling as an instrument to address these problems. More specifically, this paper examines how consumer comprehension, evaluation, and adoption intention of radical innovations may be enhanced by bundling such products with existing products. In addition, it is argued that the proposed effects are contingent upon the level of fit perceived to exist between the radical innovation and the product that accompanies it in the bundle. Furthermore, consumers' prior knowledge may affect the influence of bundling on the innovation adoption process as the interpretation of the meaning of new products may be strongly related to prior knowledge. This study therefore investigates whether consumer prior knowledge has such a moderating effect. Hypotheses are tested by means of an experimental study with three different radical innovations and distinguishing among offering the radical innovation separately, offering the radical innovation in a bundle with moderate perceived fit between the products, and offering the radical innovation in a bundle with high perceived fit between the products. Results show that product bundling enhances the new product's evaluation and adoption intention, although it does not increase comprehension of the radical innovation. Moreover, the results show that comprehension, evaluation and adoption intention of the innovation significantly decrease when consumers perceive a moderate fit between the products in a bundle. Taken together, these findings contribute to the bundling literature by showing not only that product bundling may indeed be an effective instrument to introduce a radical innovation but also that product bundling may be counterproductive when ignoring the critical role of perceived product fit as core characteristic of a product bundle. In addition, the notion that product bundling helps to enhance the evaluation and purchase intention of new and relatively complex products suggests a suitable strategy for new product managers to enhance benefits and reduce learning costs for radical innovations. Moreover, the effects of bundling on consumer appraisals of radical innovations are also shown to depend on the level of knowledge respondents possess regarding the product category of the radical innovation. More specifically, if bundled with a familiar product, novices tend to evaluate the innovative product more positively, but for experts no such effect can be detected. As such, these results provide additional specific implications for managers when introducing radical innovations in the market. Offering a radical innovation in a product bundle could be a fruitful strategy for companies that target customers with little or no prior knowledge in the product domain.     

Innovation and Design in the Age of Artificial Intelligence

At the heart of any innovation process lies a fundamental practice: the way people create ideas and solve problems. This “decision making” side of innovation is what scholars and practitioners refer to as “design.” Decisions in innovation processes have so far been taken by humans. What happens when they can be substituted by machines? Artificial Intelligence (AI) brings data and algorithms to the core of the innovation processes. What are the implications of this diffusion of AI for our understanding of design and innovation? Is AI just another digital technology that, akin to many others, will not significantly question what we know about design? Or will it create transformations in design that current theoretical frameworks cannot capture? This paper proposes a framework for understanding the design and innovation in the age of AI. We discuss the implications for design and innovation theory. Specifically, we observe that, as creative problem-solving is significantly conducted by algorithms, human design increasingly becomes an activity of sensemaking, that is, understanding which problems should or could be addressed. This shift in focus calls for the new theories and brings design closer to leadership, which is, inherently, an activity of sensemaking. Our insights are derived from and illustrated with two cases at the frontier of AI—Netflix and Airbnb (complemented with analyses of Microsoft and Tesla)—which point to two directions for the evolution of design and innovation in firms. First, AI enables an organization to overcome many past limitations of human-intensive design processes, by improving the scalability of the process, broadening its scope across traditional boundaries, and enhancing its ability to learn and adapt on the fly. Second, and maybe more surprising, while removing these limitations, AI also appears to deeply enact several popular design principles. AI thus reinforces the principles of Design Thinking, namely: being people-centered, abductive, and iterative. In fact, AI enables the creation of solutions that are more highly user centered than human-based approaches (i.e., to an extreme level of granularity, designed for every single person); that are potentially more creative; and that are continuously updated through learning iterations across the entire product life cycle. In sum, while AI does not undermine the basic principles of design, it profoundly changes the practice of design. Problem-solving tasks, traditionally carried out by designers, are now automated into learning loops that operate without limitations of volume and speed. The algorithms embedded in these loops think in a radically different way than a designer who handles the complex problems holistically with a systemic perspective. Algorithms instead handle complexity through very simple tasks, which are iterated continuously. This paper discusses the implications of these insights for design and innovation management scholars and practitioners.     

Innovations—Doomed to Fail? Investigating Strategies to Overcome Passive Innovation Resistance

The constant and successful market introduction of new products is of major concern to companies throughout all industries. However, empirical research points to high failure rates of innovations, indicating that most new products fail as they are rejected by consumers due to their resistance to innovation. Several studies have confirmed the importance of passive innovation resistance as a dominant barrier, which has to be overcome before new product adoption can start. However, empirical evidence on how to overcome passive innovation resistance is still lacking. This study intends to address this gap by evaluating the effectiveness of marketing instruments (i.e., mental simulation and benefit comparison) to reduce negative effects of passive innovation resistance on new product adoption. The results of a scenario‐based experiment (n = 679) confirm high effectiveness for both instruments. However, the effectiveness varied with the type of passive innovation resistance present. More specifically, mental simulation was found to be the most effective instrument in the case of cognitive passive resistance, whereas benefit comparison was found to be most effective in the case of situational passive resistance. Thereby, the effect of both marketing instruments was stronger the more radical the new product was perceived. Hence, companies should assess the type of passive innovation resistance that is predominant in their target market, and align their choice of marketing instruments that accompany a new product launch to most effectively overcome passive innovation resistance. Employing such new product launch tactics should decrease initial market resistance and thus help companies in reducing innovation failure rates.     

Organizing for Radical Innovation: Exploring Novel Insights

While radical innovation brings extensive economic rewards to firms, it is an activity fraught with risk. Prior research has shown that such risks mainly stem from organizational arrangements (at the level of individuals, teams, firms, and inter firm collaborations), which are inadequate or inefficient to support radical innovation. The papers in this special issue on “Organizing for Radical Innovation: Exploring Novel Insights” take stock of past work and provide novel insights about how to organize for radical innovation. The overarching idea linking them is that radical innovation hinges on the creation of fundamentally new knowledge and the continuous stimulation of creativity. Thus, organizational arrangements that support such processes play a crucial role in explaining and predicting the successful commercialization of breakthrough ideas, radically new technologies, and solutions. In particular, the field of science, which in essence aims for the systematic production of new knowledge, can be a valid source of inspiration for how individuals, teams, firms, and interfirm collaborations should organize for radical innovation. Moving from these premises, in this introductory paper, we offer an overview of the topic of organizing for radical innovation and highlight possible linkages with the organizing principles. Then, we summarize the main insights from the papers in this special issue and use their core ideas to sketch a novel research agenda for scholars working at the intersection of organization theory, economics of science, and management of innovation.     

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.     

Innovation Performance in New Product Development Teams in China's Technology Ventures: The Role of Behavioral Integration Dimensions and Collective Efficacy

In emerging markets, technology ventures increasingly rely on new product development (NPD) teams to generate creative ideas and to mold these innovative ideas into streams of new products or services. However, little is known about how behavioral integration (a behavioral team process) and collective efficacy (a motivational team process) jointly facilitate or inhibit team innovation performance in emerging markets—especially in China, the world's largest emerging‐market setting with collectivist and high power distance cultures. Drawing on social cognitive theory and behavioral integration research, this article elucidates the relationships between behavioral integration dimensions (i.e., collaborative behavior, information exchange, and joint decision‐making) and innovation performance and also examines how collective efficacy moderates these relationships in China's NPD teams. Results from a sample of 96 NPD teams in China's technology ventures reveal that information exchange is positively associated with innovation performance. Collaborative behavior positively but marginally influences innovation performance, whereas joint decision‐making does not relate to innovation performance. Moreover, collective efficacy demonstrates an important moderating role. Specifically, both collaborative behavior and joint decision‐making are more positively associated with innovation performance when collective efficacy is higher. In contrast, information exchange is less positively associated with innovation performance when collective efficacy is higher. This study makes important theoretical contributions to the literature on team innovation and behavioral integration in emerging markets by offering a better understanding of how behavioral and motivational team processes jointly shape innovation performance in China's NPD teams. This study also extends social cognitive theory by identifying collective efficacy as a boundary condition for the overall effectiveness of behavioral integration dimensions. In particular, this study highlights the condition under which behavioral integration dimensions facilitate or inhibit NPD team innovation performance in China.     

The Effects of Brand Metaphors as Design Innovation: A Test of Congruency Hypotheses

Metaphors are a common tool in brand design, from the original, enticing Apple logo to the classic animalistic hood ornament of a Jaguar automobile. Metaphors are a powerful marketing tool as an efficient way to convey a great deal of meaning to consumers, including expressing product benefits, points of differentiation (e.g., “Iron Mountain's” name and logo, intended to express its superiority in data and document safekeeping), and even brand personality. The perspective taken here is that when applied to products, metaphors also serve as a form of design innovation. This study examines the interactions and effects of various applications of brand metaphor (linguistic, visual, and symbolic) and the forms those metaphors can take (human, animal, or nonmetaphoric) in influencing important outcomes including brand vividness, brand differentiation, and consumer preference. Based on two experiments across multiple product categories with 424 subjects, we find that the consistency of brand metaphor application and the use of animal‐based metaphors in particular have significant influence on key outcomes. Implications for brand management and design innovation through the more effective use of design metaphors are considered, as are implications for theory and future research in the area.     

Managing the search for new product concepts: a strategic approach

Abstract
The authors point out that there is little in the academic literature about the way ideas for new products emerge and how the emergence is managed. They have identified the main top management problem as the strategic one of achieving the right balance between resources put into new product search and those put into current business operations. To obtain more information on good and bad practice in this area they have investigated how a specially selected sample of small to medium-sized Canadian technological companies actually carry out new product search.
The research method was to ascertain how far corporate goals, organization structures and corporate values affected the effectiveness of new product search. Unstructured interviews were conducted with senior staff in the companies, during which information was sought about company goals, innovation strategy, internal relationships and how these impinged on the genesis of 35 projects.
The authors found an important corporate goal spurring innovation was growth (or survival), to be achieved by using new products to dominate their markets. R&D was oriented to achieving a technical edge, though not necessarily a radical breakthrough in market driven ways. Few had effective formal strategic plans for new product search. On the whole, top managements emphasized the importance of individual initiative and commitment to get results and the necessity of open communication throughout the organization.
Overall, this research reveals once more that any organization that wishes to pursue a strategy of product innovation has to build a climate which explicitly favours that strategy. Corporate strategy, itself, has a major influence on that climate. New product search requires resources and a place in the strategic plan but the extent to which it can be formalized is limited. It must be possible for new ideas, wherever generated, to emerge and gather momentum informally.     

Development of Novel Products Through Intraorganizational and Interorganizational Networks

The pendulum appears to be swinging away from the merger mania of the 1980s, with many leaner-and meaner organizations refocusing on their core competencies. However, these more focused organizations often lack the breadth of skills and expertise necessary for developing products and services which cut across traditional technological and marketing boundaries. Complex product systems such as those under development in the home automation industry include elements from such disparate sectors as consumer electronics, telecommunications, construction, and energy. A narrow focus may prevent the novel forms of innovation necessary for successful development of such products. Using the home automation industry as an example, Joe Tidd examines the challenges involved in the development of complex product systems. When products and services cut across traditional marketing and technological boundaries, radical innovation is difficult because different firms and industries are typically responsible for developing the various subsystems and components. Successful development efforts may require novel forms of innovation–for example, architectural innovation and technology fusion. Architectural innovation involves changes in the way the components of a product are linked together, but leaves the core design concepts untouched. Technology fusion creates new products and market opportunities through the blending of diverse technologies from various fields. Two organizational factors affect a firm's ability to develop and commercialize new products based on novel forms of innovation: the internal organization of the firm, and the firm's links with other organizations, including suppliers, customers, and networks of collaborating organizations. Within a firm, the development of complex product systems is likely to require managing across traditional product-division boundaries. The breadth of competencies required may necessitate strong interfirm linkages. Comparing organizational approaches and the networks of alliances for home automation in the United States, Europe, and Japan, it appears that European firms tend to be more narrowly focused then American and Japanese firms. A rigid focus on core competencies may cause these European firms to overlook the potential for new products. Because various technologies and industries are involved, open networks are more effective than closed networks or alliances. European and American firms tend to favor closed strategic alliances, while Japanese firms typically participate in open networks and overlapping consortia. This approach gives Japanese firms an edge in the home automation industry.