Identifying industrial new product success: Project NewProd

What is the key to success in industrial product innovation? This question is frequently posed, and many authors and managers have speculated as to which critical factors or variables decide the fate of new industrial products. What is missing in the debate is evidence based on actual new product successes and failures. Project NewProd is an investigation that was designed to fill this void. In this article we report the results of a study into a large number of successful and unsuccessful new products, project NewProd, whose goal was to identify the determinants of commercial success in industrial product innovation.     

The components of risk in new product development: Project New Prod

Although new product development is one of the riskiest activities of a modern corporation, relatively little account is taken of risk measurement in the R & D project selection literature. The existing consensus is that risk is measured by some combination of the total amounts at stake and the uncertainties of the situation. The paper describes a project aimed at more exactly identifying and defining the components of risk as perceived by a decision-maker within a firm undertaking new product ventures. The project is based on data from a study of the behaviour of 103 firms and 197 ventures.
The results show broadly that managers perceive risk to be highest when the product shows least synergy with the firm's current business. In contrast, the possibility of reducing uncertainty components of risk through information-seeking seems to be of little account in risk perception. The author concludes from this that decision-makers are much more influenced by factors that control the amounts at stake (in general, the less the synergy the greater the resources needed to back a new product entry) than by uncertainty as to the outcome. The latter must constitute an important element of risk in reality. Its neglect may be because managers find they can deal conceptually more easily with concrete matters like the amount at stake than with the intangibles of uncertainty reduction. This may explain why many firms fail to integrate information into their new product development process.     

Keys to new product success and failure

This article reports the findings of a 1985–1986 study of success and failure determinants for new industrial products that had recently reached commercialization. In particular, the paper seeks to identify underlying factors for success and to test whether perceived success and failure factors vary with new product “experience” levels and/or with the degree of innovation in the company's new product program. The paper concludes that companies with more innovative and/or hightech new product programs have significantly different success and failure factors at work than their less innovative and/or lower technology counterparts, and that across a sample of companies from many industries, wide variety of situation- specific success and failure variables need to be addressed by industrial marketers.     

The effect of new product development techniques on new product success in Spanish firms

The rate of market and technological changes has accelerated in the last years. This turbulent environment requires new methods and techniques to bring successful new products to the marketplace. Much attention has focused on new development techniques, but little empirical research has been conducted to validate these techniques. In this study, the relationship between popular new development techniques and new product success is examined. Our findings suggest that only a subset of these popular techniques is significantly related with new product success in Spanish firms. The study also identifies the main contributors to new product development (NPD) effectiveness in Spanish firms.     

Learning process in new product development teams and effects on product success: A socio-cognitive perspective

The study purports to develop and empirically test a model of team learning process and its effects on team performance in new product development teams. Using the socio-cognitive theory of learning in groups and organizations, several hypotheses were tested to show that the primer components of social cognition (that is, information acquisition, information dissemination, information implementation, unlearning, thinking, intelligence, improvisation, sense-making, and memory) form an interactive process model of the team learning phenomenon. By studying 165 new product development projects, it was shown: (i) that the eight primer socio-cognitive factors of information acquisition, information dissemination, information implementation, memory, thinking, improvisation, unlearning, and sense-making constitute interrelated sub-components of a higher-order team information-processing construct; (ii) that team intelligence is positively related to components of team information-processing; and (iii) that information-processing facilitates new product success primarily through the positive effects of superior information implementation. Theoretical and managerial implications of the study findings are discussed.     

The fuzzy front end of Japanese new product development projects: impact on success and differences between incremental and radical projects

This study of Japanese New Product Development (NPD) projects explores the fuzzy front end of innovation. The goal of the paper is twofold: First, we analyse the impact of the fuzzy front end on the success of all the NPD projects. We develop a conceptual model based on the information-processing approach. A structural equation model was fitted to data from 497 NPD projects in Japanese manufacturing firms to test the proposed model. The empirical analysis suggests that an early reduction of market and technical uncertainty as well as an initial planning before development have a positive impact on NPD project success. The model accounts for 17% of the variance of the efficiency and 24% of the variance of the effectiveness-dependent variable. Thus, the front end phase is an important driver of NPD project success. Second, we compare the fuzzy front end of incremental to radical NPD projects. Although these projects differ in many aspects of newness, we found only a few differences with regard to the fuzzy front end. For instance, it was more difficult to estimate the market size and price sensitivity of the customers during the fuzzy front end of the radical NPD projects compared with the incremental projects. Implications of the empirical results and limitations of the study are discussed.     

Ambidexterity's mediating impact on product development proficiency and new product performance

This study examines the mediating impact of ambidexterity on the relationship between product development proficiency and new product performance. Using survey data from 253 Taiwanese firms, the results indicate that the significance of the direct effect of marketing proficiency and technical proficiency on new product performance is reduced when the indirect effect of marketing proficiency and technical proficiency through ambidexterity is included in the model. Consequently, ambidexterity reflecting the interaction between exploitation and exploration plays a mediating role explaining the positive relationship between product development proficiency and new product performance. Managerial implications and future research directions are discussed.     

Divergent thinking and market visioning competence: An early front-end radical innovation success typology

Achieving superior and longer-term rewards associated with the pursuit of radical innovation requires that firms have a market vision (MV), or a clear and specific image of a desired and important product-market for a new technology, and are able to attract human and investment capital (AAC) in order to carry out and finance these risky ventures. To achieve these outcomes, firms need to build a market visioning competence (MVC)—that is, an ability to link advanced technologies to market opportunities of the future. Developing an MVC entails the efforts of both the individuals who are part of the innovation process and the organization itself. Four components comprise the MVC equation: the individual-level capabilities of “networking” and “idea-driving,” and the organization-level capabilities of “market learning tools” and “proactive market orientation.” In this article, we focus on the conditions within the firm that need to be created and fostered to ensure an effective MVC. The antecedents of interest involve the capacity for divergent thinking—that is, the ability to go beyond the boundaries of established thought—and include four individual- and two organization-level constructs. Individual divergent thinking skills include (1) attitude of openness to new ideas; (2) ability to create, combine and help others to generate new ideas; (3) ability to move efficiently from divergent to convergent thinking; and (4) a passion for cognitive challenges. Two organization-level antecedents include: an innovation culture of (5) encouragement of idea freedom and (6) encouragement of diversity. Based on a survey of 198 high-tech firms in the North American nanotechnology sector, cluster analysis was used to develop a typology of scenarios that provides a holistic view of what distinguishes firms in terms of MVC, their ability to create and manage individual- and organization-level divergent thinking approaches, as well as the outcomes of MV and AAC. Three distinct profiles emerge. The “balanced MVC profile” rates high on all factors—components, antecedents and outcomes—and provides a “model” for managers concerned with developing an effective MVC. Cluster #2, labeled “need MVC system/culture,” while having the most important element in place—the individuals who think in dynamic ways and connect firms with totally new opportunities—require both market learning systems and a more proactive market orientation, and in particular, an organization culture where management encourages divergent thinking. Cluster #3 (“lack MVC basics”) firms have invested in MVC-related infrastructure, but this provides an anemic context when the key elements of individual innovativeness in terms of the ability to think in radically new ways and an organization culture that encourages this are lacking. Based on the MVC concepts, relationships discussed and the empirical evidence, this article offers insights for researchers in terms of theory and scale development, and for managers charged with radical innovation in terms of the actions needed to enhance MVC and, ultimately, NPD performance.     

Mapping managers' market orientations regarding new product success

Research shows that managers' cognitive structures influence their decisions and firm outcomes, and that managers' shared understanding is critical to new product success. Yet, little is known about the content and structure of managers' knowledge regarding their business's market orientation (MO) and how such orientation relates to new product development. By drawing from research on managerial cognition, we suggest that an examination of managers' cognitive maps of their business's MO can provide valuable insights. First, cognitive maps provide information regarding the relative ranking of concepts that managers consider important to new product success. Second, they offer insights about the relationship among concepts by illustrating the causal logic flow, centrality, and strength of the association between concepts. Finally, cognitive maps reveal a gestalt or pattern of managers' understandings. This pattern provides an overall view of their perceptions of their firms' MO. Accordingly, the purpose of this article is to begin developing theory to explain the nature and extent of the sharing of managers' understanding of their business's MO across a company within the context of new product development. We develop several theoretical propositions using established research on market orientation and an exploratory investigation of the cognitive maps of a stratified sample of thirty managers of a highly successful frozen food division of a multinational company. We argue that managers of innovative companies with a history of successful new products in moderately dynamic industries will have established market orientations, as reflected in cognitive maps, which emphasize customer orientations more than competitor or technological orientations. Moreover, we suggest that managers will consistently recognize the importance of interfunctional coordination because it influences the firm's orientations towards customers, competitors, and technology by facilitating sharing of important market information necessary for successful new product development. Furthermore, we propose that the division of labor and functional specialization in a company will result in predictable differences across cognitive maps of managers in different functions and levels of the organization. For example, senior managers are likely to have a more balanced and integrated MO than junior managers, due to their knowledge of organization wide issues. The article also proposes an agenda for scholars interested in investigating the relationship between managers' cognitive maps of their company's market orientation and new product success. We note the importance of studying managers' cognitive structures in different types of industries over time, and how managers' cognitive structures may relate to their company's ability to learn. Managers could use cognitive mapping to recognize and evaluate beliefs that inhibit the sharing and interpretation of information between managers, departments, and levels and could design appropriate interventions.     

Measuring new product success: an empirical investigation of Australian SMEs

New product development (NPD) has long been recognised as one of the corporate core functions. However, measuring new product success has remained elusive. This paper attempts to examine several conceptual issues underlining the measurement of new product success and the measurement practice adopted in Australian small and medium enterprises (SMEs). The sample included 276 SMEs from two most innovative industries: chemical and machinery industries. Results have indicated that four factors underline the commonly used success measurement: financial performance, objective market acceptance, subjective market acceptance, and product-level measures. These four factors are related to each other and can be used to well predict the overall measurement. The most frequently used specific measures in Australian SMEs are customer acceptance, customer satisfaction, product performance, and quality.     

Predicting new product success with prediction markets in online communities

The prediction of new product success is still a challenging task. Traditional market research tools are expensive, time consuming, and error prone. Prediction markets have been introduced as a viable alternative. Utilizing inputs from various participants in game‐like environments, they have been shown to produce accurate results by combining dispersed knowledge via market‐based aggregation mechanisms. While most previous studies use employees or experts as a sample, we test whether online consumer communities can be used to predict the sale of new skis via prediction markets. Sixty‐two users took part in the study. The prediction market was open for 12 days before the main skiing season 2010/2011 began. The outcomes of the prediction markets were compared with the actual sales numbers provided by the ski producers. The mean average errors were between 2.74% and 9.09% in the four markets. Overall, it can be concluded that the prediction markets based on consumer communities produce accurate results.     

Building and leveraging competence exploitation and exploration for firm new product success

We theorize that industry conditions of collaboration intensity and innovation intensity drive the development of competence exploitation and exploration in manufacturer-manufacturer collaborations, and that such competencies can be leveraged to increase firm-level new product sales and market share, contingent on the firm's establishment of non-proprietary knowledge transfer capability. We test our model using a survey of 224 manufacturer-manufacturer collaborations. Our findings indicate that collaboration intensity drives firms to build both competence exploration and exploitation while innovation intensity drives neither. We also find that while non-proprietary knowledge capability enhances the influence of competence exploration on a firm's new product sales and market share, it dampens the firm's ability to leverage competence exploitation for firm-level new product success.     

The effects of crowdsourcing contribution type and temporal consistency on new product development success

Extant literature suggests that individuals contribute to crowdsourcing programs in various ways but offers few insights about whether participants' creative contributions (original new product submissions) or their evaluative contributions (scoring or commenting on others' submissions) have a greater impact on their ability to create commercializable new products. Using a large-scale data set obtained from the crowdsourcing website Threadless.com, our study examines the relative impact of participants' creative and evaluative contributions and the effects of different types of evaluative contributions on submission success (i.e., a participant's ability to generate a commercializable new product). Our findings reveal that submission success is enhanced when participants generate both creative and evaluative contributions. In addition, we find that submission success depends not only on the volume of the creative contributions that a participant makes but also on the temporal consistency with which said contributions are made (i.e., adopting a consistent vs. a sporadic submission pattern). Specifically, our findings show that a participant's creative contribution consistency enhances their submission success, especially when creative contribution volume is high. This research extends the existing crowdsourcing literature by offering new insights about how contribution type and contribution consistency in a crowdsourcing program impact submission success.     

Technical risk and new product success: An empirical test in high technology business markets

Following a methodology similar to the one used in Cooper's NewProd studies, this study examines the impact of technical risk on the ability to predict new product success in high technology business markets. Cooper's original 48 new product characteristics along with 10 new items measuring technical risk are used in examining 406 actual industrial new product success and failures. The findings show the importance of the addition of technical risk assessment in predicting the potential success or failure of new high technology industrial products.     

The joint impact of quality and innovativeness on short-term new product performance

In the last decade a number of conceptualizations of product quality and innovativeness have been suggested, and academics as well as managers have begun to understand that the relationships between quality, innovativeness and new product performance are more complicated than they may initially seem to be. While an innovation-oriented strategy depends on the exploration of new possibilities through search, risk-taking and experimentation, a high quality strategy requires the exploitation of existing certainties through efficiency, standardization and control. In this research, we demonstrate that the interaction effects of quality (objective and subjective) and innovativeness (for the firm and for the customer) on new product performance are different than the isolated impact of these variables. In addition, by focusing on the main and joint impact of these variables on short-term new product performance, we provide valuable recommendations for new product launch decisions.“The pure and simple truth is rarely pure and never simple.”—Oscar Wilde     

Understanding market agility for new product success with big data analytics

The complexity that characterises the dynamic nature of the various environmental factors makes it very compelling for firms to be capable of addressing the changing customers' needs. The current study examines the role of big data in new product success. We develop a qualitative research with case study approach to look at this. Specifically, we look at multiple cases to get in-depth understanding of customer agility for new product success with big data analytics. The findings of the study provide insight into the role of customer agility in new product success. This study unpacks the interconnectedness of the effective use of data aggregation tools, the effectiveness of data analysis tools and customer agility. It also explores the link between all of these factors and new product success. The study is reasonably telling in that it shows that the effective use of data aggregation and data analysis tools results in customer agility which in itself explains how an organisation senses and responds speedily to opportunities for innovation in the competitive marketing environment. The current study provides significant theoretical contributions by providing evidence for the role of big data analytics, big data aggregation tools, customer agility, organisational slack and environmental turbulence in new product success.     

Leveraging internal resources and external business networks for new product success: A dynamic capabilities perspective

Internal resources such as technological and human capital, together with a firm's business network, are vital sources of knowledge for new product development. Previous studies largely assume that a firm's internal resources and its external resources embedded in a business network are complementary in new product development. This study draws on the dynamic capabilities perspective to take the existing literature one step further. Our hypotheses were tested using a sample of 130 Chinese manufacturing firms in high-technology industries. Interestingly, the findings reveal a more complex picture of resource interplay between internal resources and external resources embedded in a firm's business network. More specifically, the findings show that a firm's power in its business network influences the effect of its internal resources on its ability to sense and seize opportunities, a vital dynamic capability. More importantly, the findings suggest that such dynamic capability plays a pivotal role in translating the benefits of resource-interplay into new product success.     

Product competence exploitation and exploration strategies: The impact on new product performance through quality and innovativeness

The ability to manage existing assets and capabilities (exploitation) and the development of new capabilities (exploration) are arguably among the most relevant new product success factors. However, while exploitation-related capabilities are based on certainties regarding the efficiency of a company, exploration-related capabilities require the analysis of new technologies and processes. In existing literature, there is a gap concerning the trade-off between the exploitation and exploration of competences. Based on the theoretical background of Resource Based Theory, Dynamic Capabilities Theory and Discovery and Creation Theory, a model is proposed to analyze this gap. In this study, which examines 197 manufacturing organizations, we build on the dualities of the two types of competences and their impact on speed-to-market and market performance. The findings indicate that the choice between exploitation and exploration depends on the goals of new product development. While exploitation increases product objective quality, exploration enhances product innovativeness to the firm. Furthermore, we found that both exploitation and exploration constitute important success factors when it comes to launching new products. Finally, moderate effects of competitive intensity and market turbulence are also examined. High levels of market turbulence improve the results of exploitation, while low levels of competitiveness may encourage exploration.     

Identifying and prioritizing critical success factors for conflict management in collaborative new product development

Conflict management is crucial to the success of client-supplier collaborative new product development (NPD). This paper examines the critical success factors of conflict management in collaborative NPD. Using the Analytic Hierarchy Process (AHP), the importance of 4 categories of success factors, namely relationship management, conflict handling system, new product development process management and communication, totally 13 factors, are prioritized. The results show that communication management, trust and commitment to the collaboration are the most important factors. Based on the factors identified, a hierarchy model of conflict management is proposed, with which clients and suppliers can formulate action plans for better conflict management.