Collapsing New Product Development Times: Six Case Studies

Today's customers are sophisticated. They demand product variety, functionality and performance. To survive in this arena, successful companies in a global economy must rapidly introduce new products (new product lines or improvements to existing lines) by collapsing their product development times. Vincent Mabert, John Muth and Roger Schmenner report results from a comparative case study of six new product introduction projects at six different firms, identifying those elements that are important to product introduction lead time and how they are influenced by customer and organizational and technical factors. They note that the new product innovation process is very complex, sensitive to external forces like customer demands or expectations and to internal issues like how team leadership is defined for the development team. The article describes the participating companies and analyzes the six projects with particular attention to four structural elements: motivation, workings of teams, external vendor's cooperation with the teams and project control. The authors conclude by identifying the top priority factors influencing new product introduction time.     

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.     

Do Firms Need a Custom-Designed New Product Screening Model?

Organizations have traditionally taken a variety of approaches to screening new product ideas. The use of a formal evaluation process to support screening decisions can reduce the costs and risks associated with product development. Although making good new product choices is vital, many managers have not applied analytical screening models because these models have not been customized to reflect the particular character of their firm and industry. In a study of how managers from different types of companies screen new product proposals, Ulrike de Brentani finds that the essential criteria determining new product selection do not differ radically among firms. This indicates that managers can potentially benefit from applying an existing formal evaluation model that encompasses the critical factors generally applied when making new product evaluation decisions, even if that model has not been customized for their specific application.     

Major New Products: What Distinguishes the Winners in the Chemical Industry?

What makes a new product a winner? This empirical study looks at success factors in product development in the chemical industry of four countries. The 103 projects studied in both North America and Europe were substantial ones and all were undertaken by large firms; about two-thirds of these projects succeeded. Robert Cooper and Elko Kleinschmidt identified the key project success factors by comparing the winners to the losers. Product differentiation was the most importance influence on success. Synergies had only moderate influence on project outcomes, as did order of enter (innovator versus follower) and stage of product life cycle. Surprisingly, important aspects of the external environment, including both market attractiveness and competitive situation, were not strong determinants of success. Although focused on one industry, the results of this study likely have broader applicability to wide variety of industries.     

An Empirical Study of Platform and Derivative Product Development Projects

Many firms now realize the importance of planning product families and product platforms. However, little research addresses planning and execution of different types of projects within a product family platform series. This study investigates project characteristics, development challenges, typical outcomes, and success factors for product development projects at different locations in the product family spectrum. “Platform” projects result in products that initiate a new product family platform for a company. “Derivative” projects result in products consisting of extensions to an existing product family platform. Data on 108 new product development projects from a variety of assembled products industries were collected via a detailed survey and analyzed. Findings indicate that: (1) platform and derivative projects differ in project task characteristics (including the amount of new technology development undertaken and project complexity) and market newness; (2) platform and derivative projects generally do not differ in terms of project success (achievement of project objectives, level of company satisfaction, and perceived customer satisfaction) or smoothness of project execution; (3) both platform and derivative projects generally are executed in similar ways; (4) certain managerial approaches (including contingency planning, project-based evaluation of personnel, and overlap of design and manufacturing engineering) are associated with higher project execution success for both platform and derivative projects; and (5) use of interdependent technologies and novel project objectives are associated with project execution failure for platform projects. The results suggest that firms can continue to employ a single product development management process for both platform and derivative projects, as long as modest customization of the process is made for the given project type. Completely different management processes are not required. In all, the results presented in this article suggest specific managerial actions companies can take to significantly improve product development success. © 1999 Elsevier Science Inc.     

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.     

Metrics for Measuring Product Development Cycle Time

As global competitive pressure increases and product life cycles compress, many companies are trying to shorten their product development cycles. Firms are implementing a wide variety of different techniques, management processes and development strategies in their quest for shorter development cycles. We read anecdotal accounts of some efforts that herald great success stories but seldom hear about any failures. Unfortunately, some of the companies changing their development processes do so without any a priori basis for determining whether the process change will have helped or hindered them. The firm implements the new process without having a cycle time performance baseline against which to compare results from the new process. In this article, Abbie Griffin presents a method for obtaining product development cycle time performance baselines. She also demonstrates how to use them to either forecast expected project duration, given that you have not changed your development process, or determine whether a process change has actually decreased development cycle times.     

The drivers of success in new-product development

Why are some new products so successful and some companies outstanding performers in new-product development? The article identifies success factors from numerous research studies into NPD (new-product development) performance in industry. Three categories of success drivers have been defined. First, success drivers, that explain the success of individual new-product projects, are more tactical: They capture the characteristics of new product projects, such as certain executional best practices (building in voice-of-customer; doing the front-end homework; and adopting a global orientation for the project), and well as the nature of the product itself (a compelling value proposition, for example). A second category is drivers of success at the business level: They include organizational and strategic factors, such as the business's innovation strategy and how the firm makes its R&D investment decisions; how it organizes for NPD; climate and culture; and leadership The third category of success divers identified is the systems and methods the firm has in place for managing NPD, for example gating systems, Agile development approaches, and ideation methods. The details of each of these 20 success drivers, along with their managerial implications, are outlined in the article.     

Analyses of U.S. and Japanese Management Processes Associated with New Product Success and Failure in High and Low Familiarity Markets

As detailed in the pages of JPIM and other publications, considerable research effort has been devoted to identifying the preconditions for new product success. Studies of Japanese and U.S. new product development (NPD) practices have shown that such factors as sales and marketing expertise, technical expertise, decentralized decision making, R&D/marketing integration, project manager competency, and support from senior management can play key roles in influencing new product success. As William Souder and X. Michael Song point out, however, previous studies have not examined Japanese management practices across a range of environments. They also suggest that the similarities and differences between U.S. and Japanese NPD practices require more in-depth exploration. To help address these issues, they describe the results of a study involving 15 U.S. firms and 15 Japanese firms. Each participating firm provided information about two successful products and two unsuccessful products. Their conceptual model groups the various factors that influence new product success into three general classes: NPD climate, expertise, and management functions. In this model, a firm's level of familiarity with its target market moderates these influences. For example, greater expertise may be necessary to succeed in an unfamiliar market. Each participating firm in the study provided information about one successful product and one failure targeted for high familiarity markets; the other two products from each firm were targeted for low familiarity markets. The U.S. and Japanese models developed in this study exhibit some marked differences from one another. In a familiar market, the U.S. model emphasizes sales and marketing expertise and competent project managers. Under conditions of low market familiarity, this basic model is supplemented with high degrees of R&D/marketing integration, senior management involvement, and decentralization. In this way, the U.S. models reflect a degree of flexibility in adapting the approach to match the prevailing market conditions. In contrast, the two Japanese models of new product success (under low and high familiarity) point to a more invariant system. In other words, the findings from this study reinforce the notion that successful management of NPD requires careful consideration of the firm's environment. Practices that have been proven successful in a particular culture and market environment may not be directly transferable to another setting.     

Commercial Innovations from Consulting Engineering Firms: An Empirical Exploration of a Novel Source of New Product Ideas

Industrial firms interact with many outside organizations such as the customers, suppliers, competitors, and universities to obtain input for their new product development (NPD) programs. The importance of interfirm interactions is reflected in a large number of interdisciplinary studies reported in a wide variety of literature bases. As a result, several sources of new product ideas have been investigated in the extant literature. Yet given the growing complexity and risks in new product development, there seems to be a need for managers to obtain input from new and unutilized sources. Apparently, one source that industry has not tapped adequately for its NPD efforts is the consulting engineering firms (CEFs). To fill the aforementioned gap in the literature, this article explores the roles and suitability of CEFs in new product development by conducting a rigorous in‐depth case research of new product idea generation in a large Australian firm manufacturing a variety of industrial products. To generate ideas for the sponsoring firm, longitudinal field interviews with 64 managers and engineers from 32 large CEFs were conducted over a one‐and‐one‐half year period. The findings of the field interviews were combined with the documentary evidences and the archival data. This longitudinal data collection enabled the author to generate new product ideas over real time and to gain access to the information that otherwise might have been difficult to obtain. The results suggest that CEFs are a rich source of new product ideas of potential commercial value. However, industry is making little use of CEFs, which underscores the need for industrial firms to collaborate and to establish an effective idea transfer relationship with them. Moreover, the services of CEFs are not restricted to idea generation but can stretch across the entire NPD process. These findings of the study encourage product managers to conceptualize NPD as a highly synergistic mutually interdependent process between CEFs and industrial firms rather than simply an arm's‐length consulting transactions. Given the dearth of research on idea generation with CEFs, this study highlights the findings that are novel and that go beyond the techniques of new product idea generation established in the extant literature.     

The Role of Market Information in New Product Success/Failure

Although no single variable holds the key to new product performance, many of the widely recognized success factors share a common thread: the processing of market information. Understanding customer wants and needs ultimately comes down to a company's capabilities for gathering and using market information. And another well-acknowledged success factor the integration of marketing, R&D, and manufacturing focuses on the sharing of information. In other words, a firm's effectiveness in market information processing—the gathering, sharing, and use of market information—plays a pivotal role in determining the success or failure of its new products. Brian D. Ottum and William L. Moore describe the results of a study that examines the relationship between market information processing and new product success. They also explore the organizational factors that facilitate successful processing of market information, and thus offer ideas for better managing the development of new products. The respondents—marketing, R&D, and manufacturing managers from Utah-based computer and medical device manufacturers—provided information about 58 new products, including equal numbers of successes and failures. The survey responses reveal strong relationships between product success and market information processing, with success most closely linked to information use. In other words, the gathering and sharing of information are important, but only if the information is used effectively. In 80 percent of the product successes studied, the respondents ultimately possessed and used a greater than average amount of market information. And in 75 percent of the failures, the respondents knew less than average about the market at project inception, and gathered or used less than the average amount of market information during the project. For the projects in this study, the integration of marketing, R&D, and manufacturing contributed not only to the sharing and use of information, but also to overall project success. However, the results of the study suggest that the way in which a project is organized plays only an indirect role in determining new product success—most likely by improving the processing of market information. From a managerial perspective, the most important variables identified in the study are market information shared, market information used, and financial success.     

Satellite broadcasting to homes: Service options,policy issues and costs

Comsat's proposal to launch a direct-to-home broadcast satellite (DBS) service has stimulated a vigorous policy debate on a wide range of issues. The authors examine briefly the economic and technological factors that seem to favour new DBS services, suggest a panoply of services that could be provided via DBS, and relate the policy issues to specific potential services. They also present a financial analysis of a hypothetical firm's DBS pay-TV service, enabling them to suggest the possible shape of a new DBS industry.     

Product Development for the BoP: Insights on Concept and Prototype Development from University‐Based Student Projects in India

In recent years, market‐based approaches have been proposed for the base of the pyramid (BoP). However, the literature offers little theoretical or practical guidelines for innovative product development for what are radically new market contexts for most businesses in advanced economies. Considering that product development is a fundamental activity in a market economy, and that much BoP consumer welfare potentially arises from innovative and affordable goods and services that can solve critical life needs, this is a substantial gap in knowledge. This paper attempts to address this gap by using an analysis of 13 year‐long university projects on BoP‐focused concept and prototype development conducted between 2006 and 2010. An inventory of research propositions is developed that identifies factors necessary for effective product development for BoP markets. Implications for new product development research and practice are discussed.     

Innovation Aesthetics: The Relationship between Category Cues,Categorization Certainty,and Newness Perceptions

Recent research notes a disconnect between what marketers deem new and innovative versus what consumers actually perceive. Many factors may contribute to this; however, the factor that has significant potential to first attract a consumer to a new product, visual aesthetic design, is investigated in this research. Findings from four studies indicate that if a consumer cannot affix a category label to a new product with certainty, as can happen with innovative aesthetics, a product's newness will be underappreciated and product evaluations will suffer. By utilizing a categorization framework and specifically accounting for the role of categorization certainty, insight into the effects of innovative visual aesthetics and why newness perceptions are inherently subjective, and therefore, potentially hazardous to new product adoption, is provided.     

Managing Seller–Buyer Relationships during New Product Development*

Ineffective relationship management with potential buyers during new product development (NPD) can be an important contributor to new product failure in technology‐based, industrial markets. However, empirical research on managing these relationships remains underdeveloped. This study addresses this deficiency by developing an empirically based taxonomy of relationship approaches used by sellers to develop technology‐based, industrial innovations, identifying situational characteristics that correlate with the choice of a particular relationship approach, and evaluating sellers' satisfaction with their relationship approach. The study's conceptual model is rooted in transaction cost analysis (TCA) and draws from extant literature on seller–buyer relationships during NPD. It was tested with data from 334 small to mid‐sized firms in a variety of technology‐based industrial markets. The results indicate that sellers use three basic relationship approaches during NPD: a bilateral approach, a buyer‐guided approach, and a seller‐guided approach. While the bilateral approach relies on a mutual exchange of information, the buyer‐guided and seller‐guided approaches do not. Juxtaposed with the high levels of satisfaction experienced by sellers in the sample, the study suggests that no one relationship approach is universally desirable. Therefore, managers may need to engage in a portfolio of relationship approaches with buyers during NPD; further, these approaches should correlate with buyer‐related (i.e., perceived buyer knowledge and prior relationship history) and innovation‐related (i.e., product customization and technological uncertainty) characteristics. Collectively, these results can help sellers optimize their relationships with buyers during NPD.     

A master production scheduling procedure for stochastic demand and rolling planning horizons

The problem of interest is a one product, uncapacitated master production schedule (MPS) in which decisions are made under rolling planning horizons. Demand is stochastic and time varying, and effectiveness is measured by inventory holding, production setup, and backorder costs.Typically, in both the research literature and the business practice the stochastic nature of the problem is modeled in an ad hoc fashion. The stochastic MPS problem is usually solved by adding safety stock to production quantities obtained from a deterministic lot-sizing algorithm. Here, the stochastic nature of the problem is explicitly considered, as an optimal algorithm for solving the static probabilistic dynamic lot-sizing problem is adapted to rolling planning horizons. The resulting algorithm is found to dominate traditional approaches over a wide variety of experimental factors, reducing total costs by an average of 16% over traditional methods.     

It’s in the Mix: How Firms Configure Resource Mobilization for New Product Success

This paper aims to deepen the understanding about when and how the mobilization of resources through strong and weak ties in a focal firm’s network can affect new product success. It addresses two significant gaps in the literature. While prior research has advanced the understanding of how factors around tie strength, resource mobilization, and environmental characteristics relate to new product development, it has yet to offer a more holistic understanding of the interconnected structures and the interplay among these factors. Furthermore, limited insights exist about how firms could utilize resource mobilization approaches in different environmental contexts to enhance new product success. Building on resource dependence theory, this paper contributes to prior work by adopting configuration theoretical considerations and performing an empirical investigation to identify necessary and sufficient conditions for new product success. Based on data from a survey of 354 managers from manufacturing and services firms in the United Kingdom, the study conducts a configurational comparative study based on fuzzy‐set Qualitative Comparative Analysis to examine configurations of strong‐tie and weak‐tie resource mobilization approaches within particular environmental contexts for new product success. The findings reveal alternative, equifinal configurations for new product success, and add to the existing body of work by connecting the notions of network ties, resource mobilization, and context dependence, as well as by developing an integrative framework to explain the interplay of remote and proximate conditions for new product success. For management practice, this study offers guidance in describing and diagnosing business contexts that enhance new product success, and in identifying resource mobilization action repertoires to capitalize on these contexts.     

Applying Hedonic Pricing Models and Factorial Surveys at Parker Pen to Enhance New Product Success

Walking the path from new product concept to successful commercialization is a tightrope act. Product developers must carefully balance a variety of factors, including predictions of consumer price sensitivity as well as which combination of product attributes will be most valued by the intended market. A well-chosen mix of analytical tools can enhance a firm's chances of accurately predicting market demand. Chuck Tomkovick and Kathryn E. Dobie describe how the integration of two product attribute assessment techniques–hedonic pricing models and factorial surveys–allows product designers to more accurately gauge price sensitivity and market receptivity to new product designs. They also describe how these analytical tools were used to improve decision-making in product development at the Parker Pen Company, and they discuss the role these tools can play in facilitating the transition from concept to commercialization. Hedonic price analysis is an econometric method for determining the value purchasers place on attributes of existing products. In product development, factorial surveys are used to identify the value members of the target market place on new product concepts and prototypes. When used in combination with identified hedonic prices, the responses to a factorial survey allow product developers to predict consumer willingness-to-pay for various combinations of new product attributes. Following development of prototypes for two new product lines, product developers at the Parker Pen Company used hedonic pricing models and factorial surveys as a means for reducing demand uncertainty and for clarifying what consumers were willing to pay for various combinations of product attributes that were under consideration. The integration and use of these techniques involved a five-step process of target market identification, product attribute identification, hedonic price estimation, administering of the factorial survey, and determination of consumer willingness-to-pay. The results of these analyses allowed Parker Pen to better focus product development efforts on those design elements for which test market customers indicated both demand and willingness-to-pay. The Parker Pen Company found hedonic pricing and factorial surveys useful for predicting both the rate and the degree of change in consumers' marginal utility for specific product attributes. The usefulness of these techniques also extends beyond the early stages of new product conception. These techniques are helpful in the development and implementation of dynamic new product marketing mix strategies, including such elements as product design, pricing, channel selection, and promotion.     

A Taxonomy of Relationship Approaches During Product Development in Technology-Based, Industrial Markets

Effective relationship management during new product development (NPD) is an important determinant of new product success in technology-based, industrial markets. This article investigates whether different relationship approaches are used by sellers of high-tech innovations during the NPD process. The results of our empirical study reveal that sellers are resorting to two approaches during NPD: bilateral versus unilateral product development relationships. Furthermore, the approach used in a particular dyad is aligned with the seller's marketing strategy for the innovation, particularly aspects related to targeting (buyer knowledge and prior relationship history) and product strategy (the extent of product customization).