Enhancing New Product Development Performance: An Organizational Learning Perspective

Several years ago, an editorial in a software industry journal asked readers, “Why aren’t they using all those marvelous methods?” The focus of the editorial was on software engineering methods, but the question also applies to the broader realm of new product development (NPD). Proven tools exist for gathering, disseminating, and using market information. But despite widespread recognition of the important role that market knowledge plays in NPD, most firms fail to employ these tools in a consistent manner.Marjorie E. Adams, George S. Day, and Deborah Dougherty contend that the tools for successful NPD cannot be implemented successfully until we understand the barriers that hinder an organization’s capabilities for learning about markets. To foster that understanding, they describe the results of a study that explores the organizational barriers to learning about markets for new products. The study examines 40 NPD efforts in 15 large firms, and it has the following goals: identifying the processes through which organizational barriers impede market learning, developing specific ideas for how NPD professionals can cope more effectively with these barriers, and offering suggestions for improving market tools and techniques to help overcome these barriers.The study identifies three organizational learning barriers: avoiding ambiguity, compartmentalized thinking, and inertia. For the participants in this study, these barriers persistently act in specific ways to inhibit market learning. In acquiring market information, people typically focus on less ambiguous, more easily understood technologies and business truisms. Dissemination of market information is hindered because people focus on their own goals, which are often defined within their department’s role instead of the overall goals of the project. Inertia acts as a barrier to the effective use of market information. That is, people tend to proceed as they always have, maintaining the status quo rather than adjusting actions to capitalize on market learning.By encouraging broad functional participation in the acquisition and interpretation of data, NPD organizations can reduce the perceived ambiguity of market information. However, cross-functional approaches are only one step in overcoming organizational barriers. Managers must enable teams to develop rich, vivid market data, help people extend established routines into new practices, and promote trust. Specific market research tools and methods that promote market learning are also suggested.     

Organizational Learning and New Product Introductions

Organizational learning widely is believed to be important to competitive performance of companies. The purpose of this article is to examine how organizations learn from their experiences in new product introductions. Theory suggests that organizations will display a “competency trap” that reduces their ability to learn from organizational experience. Often initial success can cause a firm to rely on a single or a few experiences to develop routines, discounting later experiences. Therefore it is expected that organizations will have trouble learning from experience. The theory was tested by examining all new product introductions in the U.S. shampoo industry from 1974–1987. The dynamic nature of the business—the average brand survives about two years—made this an attractive research venue. Using the econometric technique of survival time modeling, a model was fitted of survival of brands as a function of organizational experience and organizational experience squared. The model also included controls for financial resources available to the firm and the level of first year's advertising. The model confirmed the general hypothesis that firms' brands are less successful the more experience they have. This study interprets this as evidence of a competency trap in new product introductions. The results broadly are supportive of the hypothesis that organizations find it harder to learn from experience as experience grows. Untangling the source of this problem is a goal of further research. For practice, the article suggests caution to brand managers in experienced companies. There is no guarantee that firms grow in their ability to build brands; results here suggest the opposite. Formal reviews of the new product, its process, and its performance by senior managers for lessons learned is desirable. Management of individuals and organizations may facilitate learning from experience. For managing individuals, often product success brings about a reassignment of successful personnel; care should be taken to insure that individuals' learning is captured by the new product organization before reassignment. On the organizational level, formal brand management may be a highly effective method for managing an ongoing stable of long‐lived brands but may be a poor choice in a dynamic market like shampoo. Companies may explore new organizational structures and departments to conceive and to develop new products since the skills required for managing ongoing brands may be different from creating new ones.     

Learning to Reduce Interorganizational Learning: An Analysis of Architectural Product Innovation in Strategic Alliances*

There is wide agreement in analyses of strategic alliances that, regardless of the purpose of the alliance, members of the partner organizations should engage in intensive mutual learning to make the alliance a success. In contrast to this view, the present article shows that in strategic alliances aimed at product innovations by recombining partners' extant technologies, learning between specialists can be reduced considerably without jeopardizing success. This is made possible through four interconnected mechanisms integrated into the concept of transactive organizational learning (TOL): (1) modularization, which allows specialists of different domains to develop modules to a large extent independently of each other and to concentrate communication between themselves on the design of interfaces between modules; (2) storing of knowledge in artifacts instead of in organizational members' memories; (3) localization of knowledge not present in the project team but for which a need has arisen through transactive memory; and (4) knowledge integration by prototyping (i.e., by repeated testing of modules and of interactions between modules until a satisfactorily working end product is achieved). Although these four mechanisms reduce the need for cross‐learning between specialists of different domains, some common knowledge and some cross‐learning between the partners' specialists is still required. Case studies on four of SAP's strategic alliances for product innovation with different partners lend empirical support to this study's concept. The article concludes with implications for practice: Companies should find out whether the TOL mechanisms that reduce time to market are present, to what extent their potential is exploited, and how well they work together.     

Enhancing the Creative Performance of New Product Teams: An Organizational Configurational Approach

Innovation is crucial to managing ever‐increasing environmental complexity. Creativity is the first stage of the innovation process and is particularly relevant in modern new product development (NPD) projects. In response to a call for further empirical research on collective creative performance combining individual and team levels in a comprehensive framework, this paper offers useful evidence for the design of NPD teams to foster creative performance. The results suggest that different sets of individual traits and collective processes combine and interact, enabling a similar level of creative performance from different configurations of individual and team “ingredients.” There are no consistently good‐quality or poor‐quality NPD teams or processes. However, equifinal configurations—based on team composition, and interpersonal, coordination, control, and diversity management processes—can be effective in producing creative products. Through a large‐scale study of 119 teams of students involved in an NPD activity, this paper contributes by expanding creativity and NPD team design literature, providing the basis for a “first right” approach to real‐world, in‐company research. It first proposes and tests the adoption of the configurational equifinality approach in the NPD team design domain, introducing the concept of complementarities among different types of “team ingredients,” both at the individual and team level. Second, it introduces different multidimensional measures of team creative performance, relevant to generalizing and comparing the research results. Third, it offers several guidelines for designing real‐world NPD teams through the combination of diversity and interpersonal management, as well as coordination and control processes, which have not been studied to any great extent but are at times controversial in creativity literature.     

Does Market Orientation Facilitate Balanced Innovation Programs? An Organizational Learning Perspective

There appears to be widespread agreement that optimal new product development programs require a balance between customer-led and lead-the-customer innovation practices. The former is associated with adaptive learning inspired incremental innovation, whereas the latter is associated with generative-learning-inspired radical innovation. There is debate, however, as to whether a strong market orientation can facilitate this balance. Some believe that a strong market orientation causes firms to overemphasize customer-led incremental innovations. Others believe that a strong market orientation can facilitate this balance but assert that traditional measures of market orientation only capture the types of behaviors associated with customer-led incremental innovations. This latter concern has led some to abandon the single-construct operationalization of market orientation and to introduce two constructs—responsive and proactive market orientation—into the literature. The purpose of this research is to address these developments. The study makes use of a national sample of marketing executives and employs a cross-sectional survey design. Measures used are market orientation, radical and incremental innovation priority, generative and adaptive learning priority, and new product success. Confirmatory factor analyses and structural equations models are employed to develop measures and to test hypotheses. The study's results reaffirm the position that a strong market orientation helps facilitate a balance between incremental and radical innovation by shifting firms' innovation priority more toward radical innovation activities. It also suggests that the abandonment of traditional conceptualizations and measures of market orientation are premature.     

Organizational Attributes,Market Growth,and Product Innovation

Extensive research has shown that organizational attributes affect product innovation. Extending this literature, this article delimits two general categories of organizational attributes and relates them to product innovation. Organizational attributes can be either control oriented or flexibility oriented. Control‐oriented organizational attributes strive to realize organizational activities as intended, while flexibility‐oriented attributes allow organizational activities to emerge in a directed way. The classical institutional theory suggests that organizational attributes, no matter whether they are control oriented or flexibility oriented, serve two major functions: a constraining function and an enabling function. Recognizing the dual functions of organizational attributes, this article argues that both types of organizational attributes are indispensable for the functioning of innovative organizations and that the impacts of control‐oriented organizational attributes on product innovation decrease with market growth, while the impacts of flexibility‐oriented organizational attributes on product innovation increase with market growth. Empirical results largely support these hypotheses. Strategic planning, as a control‐oriented organizational attribute, is positively associated with product innovativeness, regardless of the market growth rate. The effectiveness of other organizational attributes, including formalization and organizational redundancy, varies with market conditions. As the rate of market growth increases, formalization becomes less effective for, but never becomes detrimental to, product innovativeness. Conversely, as the rate of market growth increases, organizational redundancy becomes more effective for product innovativeness. Overall, the results show that both control‐oriented and flexibility‐oriented elements are indispensable for the design of innovative organizations.     

Facilitating Global Organizational Learning in Product Development at Whirlpool Corporation

The challenges of leveraging learning about product development in a global company are complex. Whirlpool Corporation is addressing these challenges, using a multidimensional strategy that couples work in advanced products and product development with organization development and training. Deborah Durate and Nancy Snyder describe how Whirlpool has implemented training, best practices conferences, and programs focused on enhancing the performance of product development teams to facilitate learning after product development efforts and to leverage that learning on a global basis. Programs and processes are described, and lessons learned as well as guidelines for development are offered.     

Organizational Learning Ambidexterity,Strategic Flexibility,and New Product Development

Although organizational ambidexterity has gained momentum in recent innovation research, previous literature still offers a confusing and partial picture about how to leverage ambidexterity for new product development because of two limitations. First, previous research mainly focuses on static resource endowment and thus offers little insight about how firms should dynamically reconfigure resource portfolios to leverage organizational ambidexterity. Second, conceptual confusion on the notion of the balance dimension of organization ambidexterity still exists. This study seeks to explore how firms should dynamically reconfigure resource portfolios to leverage organizational ambidexterity for new product development and to bring greater conceptual clarity to the notion of balance. By extending the static resource assumption, which is central to the extant debate in organizational ambidexterity literature, this research unpacks ambidexterity into a relative exploratory dimension and an interactive dimension. We further investigated the moderating effect of resource flexibility and coordination flexibility on the impacts of the two dimensions on new product development performance. Based on the dynamic resource management view and organizational learning theory, we proposed six hypotheses and collected data from 213 firms through a survey to examine the hypotheses. Our results indicate that relative exploratory dimension and interactive dimension have different effects on new product development. Specifically, the relative exploratory dimension has an inverse U‐shaped effect on new product development while the interactive dimension has a positive effect. Furthermore, we find that resource flexibility and coordination flexibility have positive moderating effects on the relationships between the two dimensions of ambidexterity and new product development performance. Our study contributes to the ambidexterity research in three ways. First, from a dynamic resource management view, this study extends previous ambidexterity research from a static view to a dynamic view by exploring the moderating effects of resource flexibility and coordination flexibility. Second, we extend the understanding on ambidexterity by bringing greater conceptual clarity to the notion of balance. Third, this research provides new evidence on the effects of ambidextrous learning on new product development performance in transition economy such as China, where ambidextrous learning is crucial for firms to adapt to a dynamic environment.     

Strategic Orientation and Product Innovation: Exploring a Decompositional Approach

While a considerable body of research examines the strategic orientation–innovation relationship, findings in that literature have been mixed. This article calls attention to an underinvestigated problem: the composite, multidimensional conceptualization and measurement of most strategic orientations, which likely contribute to the mixed findings in the literature. To address this issue, the researchers explore a decompositional approach to the strategic orientation–product innovation relationship. The authors utilize the stimulus‐organism‐response framework to select, decompose, and recast a set of strategic orientation components previously identified to be essential to product innovation. To produce more nuanced insights, the authors also decompose product innovation outcomes into breakthrough versus incremental. Furthermore, the sample is decomposed by product type to assess the generalizability of the conceptual model across manufactured goods and services firms. The authors test the conceptual model with a sample of 222 executives of services and manufacturing firms in Germany and Switzerland using partial least squares. By decomposing the strategic orientation effects into direct, indirect, total, and specific components, the detailed empirical analysis yields several new insights. Overall, the results suggest that the relationship between strategic orientation and product innovation is more complex than previously identified in the literature. For example, the results demonstrate that technology orientation works to augment innovation differently in services versus manufacturing firms. More specifically, a focus on technology boosts only breakthrough innovation in manufacturing firms, and only indirectly by enhancing an organization's open‐mindedness. In contrast, services firms extract additional benefits from investing in technology directly (and for both incremental and breakthrough innovation), as well as indirectly by increasing open‐mindedness. The authors also identify complementary as well as suppressing effects on product innovation outcomes from different strategic orientation components. Based on the findings in this study, future research avenues are identified, and managers are advised to consider each component of alternative strategic orientations individually and evaluate the capabilities aligned with components to assess their interdependencies.     

Product Development Strategy and Organizational Learning: A Tale of Two PC Makers

The personal computer (PC) marketplace in the US presents a dizzying array of component suppliers and products. No single firm dominates the industry with a complete package of hardware and software components. Although one company's operating systems and general-purpose applications are installed on most PCs in the US, the other system components—processors, memory, storage devices, display adapters, monitors, specialized applications, and so on—come from any number of sources. David T. Methe, Ryoko Toyama, and Junichiro Miyabe point out that the PC industry in Japan also exhibits this decentralized nature. However, they also note that despite the decentralized network structure of the Japanese PC industry, one company—NEC—was able to achieve a dominant market share. To provide insight into the key issues involved in the management of complex technology, they contrast NEC's strategic approach to product development and organizational learning with the approaches taken by Fujitsu—the firm that placed a distant second in this market. Despite matching NEC in terms of technological capabilities, financial resources, and managerial talent, Fujitsu never managed to threaten NEC's dominance of the PC market in Japan. Fujitsu continually emphasized technological leadership, even at the expense of protecting its installed base. Poor coordination of resources and product development efforts resulted in incompatibilities among Fujitsu's various products, and the company failed to foster close relationships with suppliers of such key technologies as software and peripherals. NEC's PCs did not enjoy the advantages of first-to-market status or technological leadership. Instead, NEC achieved market dominance by finding the combination of product technologies that met the needs of the greatest number of consumers. Throughout almost 20 years of competition in the PC industry, NEC successfully maintained consistency and backward compatibility across its product lines. NEC also recognized the importance of third-party software developers, and carefully cultivated relations with these firms as a source of competitive advantage. In other words, NEC struck the right balance between three key factors: technological innovation, motivation of third-party developers of software and peripherals, and service to its installed base of customers.     

Strategic Mutual Learning Between Producing and Buying Firms During Product Innovation

The product innovation activities and strategies employed by successful innovators often differ from those used by firms having more mature products. Marketing strategies for innovating firms can vary along two dimensions of knowledge: technological development (stable and evolving) and market needs (known and emerging). In addition, producers often commit to forms of strategic relationships with their buyers because of the difficulties encountered when buying firms adopt and implement technological innovations. Starting with these two orienting constructs from the literature, Patricia Meyers and Gerard Athaide describe the kinds of learning that develop between producers and buyers when markets for a technological innovation are forming.     

An Approach for Determining Optimal Product Sampling for the Diffusion of a New Product

Free samples are an effective means for introducing and promoting a new product. However, product sampling is also expensive. As a result, careful consideration must be given to the question of how many samples should be distributed. To encourage product adoption in any target market, a company needs to determine the “right” amount of sampling. In other words, a firm needs to determine the optimal number of samples that must be available for trial by the innovators, early adopters, and other key consumers who influence the adoption rate of the new product. With too few samples, the product might not reach enough of these key consumers to generate the word-of-mouth recommendations necessary for market success. On the other hand, offering too many free samples is a waste of a company's resources. Dipak Jain, Vijay Mahajan, and Eitan Muller propose a framework for determining the optimal levels of product sampling. In addition to identifying the upper bounds for the sampling levels of both durable and nondurable products, their model identifies the optimal size of product sampling based on such parameters as the coefficients of innovation and imitation, market potential, discount rate, and gross margin. Several observations are made regarding the relationships between the optimal sampling level and the various parameters used in the model. For example, a high sampling level is not appropriate for a product with a high coefficient of innovation. On the other hand, if a product has a high coefficient of imitation, the sampling level should be high because a significant number of trials are necessary for word of mouth to be effective. High sampling levels are also indicated by a high discount rate or gross margin. For durable goods, the optimal level of neutral sampling (i.e., sampling that does not specifically target innovators and early adopters) rarely exceeds 5%, and the maximum level is 7%. The optimal target sampling level is always higher than the corresponding neutral case, but, in most cases, only marginally so. For the parameter ranges chosen in this article, the maximum level for target sampling is approximately 9%. However, it is important to note that the theoretical upper bounds are no more than benchmarks for the maximum possible level of sampling. In practical situations, the optimal level may be considerably lower than these upper bounds. In such cases, the actual values will depend on the values for the various parameters used in the model.     

A Consumer-Based Approach to Designing Product Line Extensions

A high proportion of new product introductions entail line extensions (e.g., new flavors, sizes, convenience packs, features) rather than totally new products. An attendant problem with line extending involves the possibility of cannibalization of the firm's current products. Paul Green and Abba Krieger describe an approach for designing line extensions that employs consumer tradeoff data and a variety of search heuristics to find "optimal" extensions that explicitly consider the cannibalization of current offerings. The methodology is applied to a case in which an agricultural chemicals firm is introducing a new soybean herbicide.     

A Multi-Attribute Product Life-Cycle Approach to Replacement Decisions: An Application of Saaty's System-With-Feedback Method

The lack of investment in new manufacturing technology compromises the long-range competitiveness of a manufacturing company. The choice of appropriate manufacturing equipment is an extremely important management decision. This paper presents a multi-attribute approach to equipment replacement decisions based on the product life-cycle. The problem is formulated using the System-With-Feedback (SWF) model developed by Saaty [10]. Saaty's model is particularly suitable tor the modeling of time-dynamic and tnieraciive elements of such replacement situations.     

Organizational Obstacles to Innovation: A Formulation of the Problem

A large corporation is a complex social system that seems to take on a life of its own quite apart from the purpose for which it is intended. When one of the purposes of the organization is innovation, the social system can produce obstacles that are not easy to overcome. In this article, Professor Volney Stefflre provides a refreshing look at the problems of keeping an organization innovative enough so that it can survive and thrive in a changing environment. Professor Stefflre's view is an unusual and creative one. It comes partly from his many years of working with a variety of manufacturers as they attempted to adapt to their changing environments through innovation. It also comes from his background in psycho-linguistics—the area, he says, where psychology and anthropology meet. It may not be surprising then that his article includes a brief look at empires and civilizations as part of the support for his thesis. This article is adapted from one of the chapters of Professor Stefflre's new book: Developing and Implementing Marketing Strategies . New York: Praeger Publishers Inc., 1985.     

外部网络化与企业组织创新

网络是各种行为主体之间在交换资源、传递资源活动过程中发生联系而建立的各种关系的总和。网络化则是指构建网络这种组织结构的动态过程。网络中的各个主体之间不仅仅是一种交易 ,还应在比较高的信任度基础上进行相互学习和协作。网络中成员间的高度信任能够使交易过程中的谈判成本、监督成本降低 ,机会主义行为减少。网络比市场机制的协调能力更强 ,又比科层组织决策更灵活。外部环境的复杂性和不确定性要求企业能够迅速准确地把握市场需求 ,外部网络化这种组织创新形式 ,为那些以迅速革新为特征的企业提供了强有力的组织支持     

Organizational Innovation in the Apparel Industry

The traditional mass production process in apparel manufacturing is contrasted with innovative techniques based on teamwork and greater employee participation. Although economic forces have encouraged the spread of innovative work organization, so far, these techniques have been implemented only within traditional human resource strategies that maintain sharp distinctions between production workers, on the one hand, and managers, supervisors, and engineers, on the other.