The Effect of Concept Formulation on Concept Test Scores

While concept testing is a mainstay of the new product development process, there is little empirical evidence on the variation in consumer responses due to alternative concept formulations, particularly for those tests undertaken early in the product development process. The present study addressed this gap in the literature by using a split sample mail survey to compare stripped, embellished, and visual concept formulations for five heterogeneous product concepts. It was found that respondents' answers to attitude and purchase intention questions showed only minor variation with different formulations of the concept test statement. It also was found that the ranking of the concepts showed no substantial changes across the different formulations. Therefore, the type of concept statement formulation may not be that important, at least for early ranking tasks performed before experiential prototypes are available. Early concept tests therefore may be carried out using stripped concept statements. This may reduce costs, allowing organizations to undertake early concept testing more frequently across a wider range of products.     

Segmenting a market in the making: Industrial market segmentation as construction

This paper takes an empirical starting point in a claim that Biacore, a pioneering Swedish producer of affinity biosensors, was “in the enviable position of creating its own market” (Abelin, 1997). An in-depth case study traces how Biacore undertook segmentation activities while shaping the market for its new product technology, affinity biosensors. This involved stabilising the modes of exchange with customers, the product and the identity of the company. The efforts of Biacore highlight a constructive dimension of market segmentation that hitherto has received little attention. Rather than a process of describing, deciding and taking action, Biacore engaged in the gradual construction of market segments through an interactive and iterative process involving close collaboration with early users. Simultaneously, the market for the new technology gained shaped. Thus, the paper reports a ‘markets from networks’ story illustrating how the practice of segmenting a market may have consequences for that market.     

Enhancing Concept Test Validity by Using Expert Consumers

In standard concept testing practice, consumers may be invited to participate in a test if they use or possess the product. However, merely using or possessing a product is no guarantee that a consumer has the level of product knowledge that is necessary for judging the concept. Conducting a concept test with consumers who lack the necessary product knowledge may jeopardize the validity of the test results. That is, the results of such a concept test may not accurately indicate how consumers will evaluate the real product. To ensure the validity of concept test results, Jan Schoormans, Roland Ortt, and Cees de Bont suggest that consumers who are invited to participate in a concept test should possess a degree of product knowledge. When a consumer is asked to evaluate a concept, their product expertise allows them to understand product information faster, fill in missing information, and learn more easily. Consumers with product expertise are better able to discriminate between important and unimportant aspects of a product. They are also better able to infer benefits from a product's physical attributes. To explore the effects of consumer expertise on the quality of the evaluations provided by concept tests, the authors conducted two experiments, both of which resemble actual concept tests. The first experiment examines the effect of consumer expertise on the results of a concept test for a major innovation, Videotext. This experiment tests the hypothesis that the similarity between the evaluations of a concept and an actual product will be greater for consumers with a high level of product-category expertise than for consumers with low product-category expertise. The results of the experiment clearly support the idea that product-category expertise enhances a respondent's ability to evaluate concepts in a test of major innovations. From this, it is concluded that only respondents with high product-category expertise should be used for concept tests of major innovations. The second experiment explores the effects of product expertise on consumers' evaluations of a minor innovation, a redesigned coffee maker. This experiment tests two hypotheses. First, it is proposed that consumers with high product expertise give more consistent evaluations in a concept test than consumers with low product expertise. Second, it is suggested that consumers with product expertise generate more stable evaluations over time than consumers without product expertise. The results of this experiment clearly indicate that using consumers with moderate to high levels of product expertise is beneficial to the validity of the results from concept tests of minor innovations.     

基于逆营销理念的旅游目的地品牌建设研究

选取了喀纳斯景区作为研究对象,将逆营销理念作为单独的营销管理工具对保护型旅游目的地的品牌建设问题进行了研究。从品牌的定位、传播、忠诚度以及危机管理4个方面研究保护型旅游目的地品牌建设问题。     

Criteria changes across product development stages

This paper analyzes the criteria used at making go/no-go decisions at major points in the product-development process, taking each phase separately. First, the variation in the sets (market, product, and financial) criteria used from one phase to another is studied. Second, the specific criteria deployed are analyzed. The results of the decision-systems interviews conducted show shifts in weights among the three sets of criteria as the development cycle progresses. In terms of criteria, the product-development process can be summarized using the following three questions in this specific order: 1) “Is there a market for the concept?” 2) Can the concept be transformed into a concrete product?” and 3) “Can the concrete product be manufactured and marketed profitably?” The analysis of specific criteria reveals that the use of some criteria is restricted to one particular phase, whereas some are used at every decision-making point. Also, the orientation of the company in question will cause variation among specific criteria use and weighting. Some factors, however, are quite universally applicable.     

The Predictive Power of Internet-Based Product Concept Testing Using Visual Depiction and Animation

One critical step in new product development is selecting from among multiple possible product concepts the one that the firm will carry forward into the marketplace. There is a need for low‐cost, parallel testing of the appeal of new product concepts, the results of which closely mirror ultimate market performance. In this article, the authors first describe an Internet‐based product concept testing method they developed that incorporates virtual prototypes of new product concepts, substituting them for physical prototypes. The method can be used with either static representations of the products or with dynamic representations that demonstrate how the product works through a simulated video clip of its operation. The objective of this method is to allow design teams to select the best of several new concepts within a product category with which to proceed, without having to develop physical prototypes. The authors then provide a rigorous test of both virtual prototype methods against tests using both physical prototypes and attribute‐only (i.e., no visuals), full‐profile conjoint analysis. Nine concepts compete against two actual products in the tests. Market shares from the test using the physical prototypes are defined as the “actual” market shares. Predicted market shares for the attribute‐only, full‐profile conjoint analysis and each of the two virtual prototype methods are compared to those obtained for the physical prototypes. Both static and animated virtual prototype tests produced market shares that closely mirrored those obtained with the physical products, outperforming the set of predictions across the full range of products produced in the attribute‐only conjoint analysis. Interestingly, the attribute‐only conjoint analysis identified the top three products, in correct order. It was unable to differentiate performance below these top three products. Furthermore, it predicted market shares for the top three products to be well below those achieved using physical prototypes. As virtual prototypes cost considerably less to build and test than their physical counterparts, design teams using Internet‐based product concept research may be able to afford to explore a much larger number of concepts. Virtual prototypes and the testing methods associated with them may help reduce the uncertainty and cost of new product introductions by allowing more ideas to be concept tested in parallel with target consumers.     

Time pressure and creativity in industrial design

Creativity is a critical aspect of competitiveness in all trades and professions. In the case of designers, creativity is of the utmost importance. Based on the perspective of industrial design, the relationship between creativity and time pressure was investigated in this study using control and experimental groups. In the first part of the study, fuzzy theory, the Creative Product Analysis Matrix, the Analytic Hierarchy Process, and Consensus Assessment Techniques were integrated to establish a method to evaluate creativity in industrial design. Moreover, the experimental and control groups were compared using three tests: the Torrance Tests of Creative Thinking, the product concept development test, and the product aesthetic development test. Six hypotheses were examined. Based on an analysis of the results, suggestions are offered to improve creativity management. The suggestions can serve as reference for creativity management of individuals, groups and companies in order to make the concept generating process more efficient.     

The virtual customer

Communication and information technologies are adding new capabilities for rapid and inexpensive customer input to all stages of the product development (PD) process. In this article we review six web‐based methods of customer input as examples of the improved Internet capabilities of communication, conceptualization, and computation. For each method we give examples of user‐interfaces, initial applications, and validity tests. We critique the applicability of the methods for use in the various stages of PD and discuss how they complement existing methods. For example, during the fuzzy front end of PD the information pump enables customers to interact with each other in a web‐based game that provides incentives for truth‐telling and thinking hard, thus providing new ways for customers to verbalize the product features that are important to them. Fast polyhedral adaptive conjoint estimation enables PD teams to screen larger numbers of product features inexpensively to identify and measure the importance of the most promising features for further development. Meanwhile, interactive web‐based conjoint analysis interfaces are moving this proven set of methods to the web while exploiting new capabilities to present products, features, product use, and marketing elements in streaming multimedia representations. User design exploits the interactivity of the web to enable users to design their own virtual products thus enabling the PD team to understand complex feature interactions and enabling customers to learn their own preferences for new products. These methods can be valuable for identifying opportunities, improving the design and engineering of products, and testing ideas and concepts much earlier in the process when less time and money is at risk. As products move toward pretesting and testing, virtual concept testing on the web enables PD teams to test concepts without actually building the product. Further, by combining virtual concepts and the ability of customers to interact with one another in a stock‐market‐like game, securities trading of concepts provides a novel way to identify winning concepts. Prototypes of all six methods are available and have been tested with real products and real customers. These tests demonstrate reliability for web‐based conjoint analysis, polyhedral methods, virtual concept testing, and stock‐market‐like trading; external validity for web‐based conjoint analysis and polyhedral methods; and consistency for web‐based conjoint analysis versus user design. We report on these tests, commercial applications, and other evaluations. © 2002 Elsevier Science Inc. All rights reserved.     

The Dimensions of Industrial New Product Success and Failure in State Enterprises in the People's Republic of China

Michael Song and Mark Parry examine the dimensions of new product success and failure in state enterprises in the People's Republic of China by conducting a principal components analysis of 77 statements developed by Cooper that describe possible characteristics of a new product. Their analysis yielded 16 significant components. Next, stepwise discriminant analysis determined which dimensions were significantly correlated with project success and failure. Six dimensions emerged as significant correlates of success in the initial discriminant analysis and in 30 split-half replications. These six dimensions concerned the product selection criteria of market potential, competitive intensity, relative product advantage, and fit with the technical and production capabilities of the enterprise. The findings have implications for enterprise managers, state authorities, and foreign partners in Chinese joint ventures.     

讲述品牌故事 传递奢侈品理念

在物质极大丰富的今天,品牌故事化更能吸引消费者,奢侈品品牌故事通过一些故事要素传达了品牌所代表的一种精神、一种理念。透过奢侈品的品牌故事,企业将知道如何讲述自己的品牌故事。     

Encroachment Patterns of the “Best Products” from the Last Decade*

Based on the examination of 239 “best products” (all those on Business Week's annual lists from the past decade), this article tests and validates a conceptual framework identifying six ways in which new products open new markets and/or encroach on original products. Three of these six scenarios involve high‐end encroachment (the new product first opens a new high‐end market, or enters at the high end of an existing market, and then diffuses down‐market), and three scenarios involve low‐end encroachment (encroachment starts at the low end, followed by diffusion up‐market). As illustrated in a 2 × 3 matrix, high‐end encroachment ensues when the new product enhances performance with regard to the market's core attribute (low‐end encroachment ensues when this performance is diminished). The three high‐end sub‐types and three low‐end sub‐types are determined by the strength of performance along an ancillary attribute dimension. If the ancillary attribute performance is week, then the encroachment of the new product on the old market is immediate (corresponding to immediate high‐end encroachment and immediate low‐end encroachment, respectively). If the ancillary performance is moderate, then the new product expands the market at the high or low end (corresponding to new‐attribute high‐end encroachment and fringe‐market low‐end encroachment, respectively). If the ancillary performance is strong, then the new product first opens an entirely new market at the high or low end (corresponding to new‐market high‐end encroachment and detached‐market low‐end encroachment, respectively). The reliability and comprehensiveness of the encroachment framework is tested by asking a panel of eight judges to categorize each of the 239 products. Results show inter‐judge reliability of 98%, with all products falling within one of the six encroachment categories. Each of the encroachment types has unique implications on product positioning and pricing, as further discussed in the paper. Thus the model helps firms identify and analyze the various possible strategies that they might choose from when introducing new products.     

Detecting Buyer Preferences to Guide Product Development and Advertising

If you could tell which product characteristics consumers would prefer, product development could be targeted sharply and positioning the product competitively could be done with more confidence. This article describes one approach by which a relatively large set of test products is evaluated by consumers in order to identify the most acceptable combination of product attributes. Identification of this combination provides the product developer with guidelines as to which test product should be selected for subsequent introduction. The focus is on the discovery of discernible attributes of a product in a fragmented category to support the advertising claim.     

PDMA Success Measurement Project: Recommended Measures for Product Development Success and Failure

Success is not just elusive; it is also multifaceted and difficult to measure. A firm can assess the success or failure of a development project in any (or all) of many terms, including customer satisfaction, financial return, and technical advantage. To complicate matters, success may be measured not only at the level of the individual project, but also at the program level. With so many variables to consider and so many stakeholders involved, managers face a difficult challenge just deciding which measures are useful for measuring product development success. Recognizing that no single measure suffices for gauging the success of every product development project, Abbie Griffin and Albert L. Page hypothesize that the most appropriate set of measures for assessing project-level success depends on the project strategy. For example, the objectives (and thus, the success criteria) for a new product that creates an entirely new market will differ from those of a project that extends an existing product line. Similarly, they hypothesize that the appropriate measures of a product development program's overall success depend on the firm's innovation strategy. For example, a firm that values being first to market will measure success in different terms from those used by a firm that focuses on maintaining a secure market niche. To test these hypotheses, product development professionals were presented with six project strategy scenarios and four business strategy scenarios. For each project strategy scenario, participants were asked to select the four most useful measures of project success. For each business strategy scenario, participants were asked to choose the set of four measures that would provide the most useful overall assessment of product development success. The responses strongly support the idea that the most appropriate measures of project-level and program-level success depend on the firm's project strategy and business strategy, respectively. For example, customer satisfaction and customer acceptance were among the most useful customer-based measures of success for several project strategies, but market share was cited as the most useful customer-based measure for projects involving new-to-the-company products or line extensions. At the program level, firms with a business strategy that places little emphasis on innovation need to focus on measuring the efficiency of their product development program, while innovative firms need to assess the program's contribution to company growth.     

Psychological Meaning of Products and Product Positioning

New product positioning is an issue increasingly being considered by new products managers. An article on this topic by Crawford appeared in this Journal in 1985. Roberto Friedmann and Parker Lessig employ the concept of psychological meaning of products to discuss why and how Crawford's new product positioning typology affects the consumer. They present arguments to show that the psychological meaning of products and Crawford's typology address product positioning from complementary and converging perspectives. They also argue that psychological meaning of products can be a valuable managerial planning tool.     

The Impact of the Corporate Mind‐set on New Product Launch Strategy and Market Performance

In the last decade, there has been an increasing interest in the link between new product launch strategy and market performance. So far, new product launch research has focused on this performance relationship without giving much attention to background factors that can facilitate or inhibit successful launch strategies. However, investigating such antecedents that set the framework in which different strategic launch decisions enable or prevent the market performance of new products is useful for enhancing the current state of knowledge. Drawing on the concept of a firm's orientation, the present study discusses the influence of the corporate mind‐set on new product launch strategy and market performance. It is hypothesized that the capability to successfully launch new products is based on the interplay between a firm's mind‐set (i.e., an analytical, risk‐taking, and aggressive posture) and its strategic launch decisions on setting launch objectives, selecting target markets, and positioning the new product. A research model with mediating effects is proposed, where the corporate mind‐set determines the launch strategy decisions, which in turn impact market performance. The model is tested with data on 113 industrial new products launched in business‐to‐business markets in Germany using a multiple informant approach. The results support the mediated model as the dimensions of the corporate mind‐set have a significant impact on most strategic launch decisions, which in turn significantly contribute to market performance. It is found that while an analytical posture relates to all three strategic launch decisions, risk taking and an aggressive posture have a significant impact on two, respectively one, launch strategy elements. These findings confirm the importance of investigating antecedents for a successful new product launch, as the corporate mind‐set serves as a background resource that sets the framework for successful new product launch decisions. In the final section implications for research and managerial practice as well as limitations of this research are provided.     

Criteria employed for go/no-go decisions when developing successful highly innovative products

Based on a sample of 77 highly innovative products, this study examines the usage and the relative importance of a set of go/no-go decision criteria at four major gates of the new product development (NPD) process. The findings reveal that go/no-go criteria can be grouped into five dimensions: strategic fit, technical feasibility, customer acceptance, market opportunity, and financial performance. Strategic fit dimension is mainly applied in approving the new product concept. Technical feasibility dimension is crucial in approving the new product concept and the product prototype. The usage of customer acceptance dimension is notably high throughout the entire development process, particularly after product launch. Market opportunity dimension is mostly employed to approve the new product concept and the maintenance of the product on the market. Financial performance dimension stands out near the end of the development process.     

The Role of Objective In Vivo Testing in the Product Development Process

New products managers are continually confronted by the challenge of coordinating flows of complex information during the product development process. Among the issues faced are unique problems in relating technical design of product attributes to customers' reactions, leading to an improvement of the product's benefits. Ronald Drozdenko and Sidney Weinstein describe a variety of tests which help to assess customers' reactions to products, thus providing information to improve the design or to substantiate advertising claims. The term "objective in vivo" is given to a category of tests which is employed to quantify consumers' evaluation of specific product attributes under controlled, simulated use conditions. This helps to bridge the gap between tests which are designed to measure the physical or functional aspects of new products and tests which measure the consumers' self-reported, subjective reactions. A test categorization model, illustrative case studies, and test selection criteria are presented.     

Exploring the differences in performance measurement between research and development: evidence from a multiple case study

Researchers and practitioners have recently paid great attention to research and development (R&D) performance measurement, although it is acknowledged to be a very challenging task because of R&D intrinsic uncertainty and complexity levels. In this paper, the problem of designing a performance measurement system (PMS) for R&D activities is addressed; specifically, we investigate if and how the design of the PMS is influenced by the type of activity it is applied to, namely Basic and Applied Research or new product development (NPD). We first develop a theoretical framework that comprises the main constitutive elements of a PMS for R&D. Then the framework is used for supporting a multiple case study analysis involving eight Italian technology-intensive firms. The research results show that the criteria for designing the constitutive elements of the PMS are radically different in Basic and Applied Research and NPD. The reasons behind the observed dissimilarities in the design criteria are widely discussed in the paper, as well as their implications for R&D managers.     

Customer‐Perceived Positioning Effectiveness: Conceptualization,Operationalization, and Implications for New Product Managers

An extensive body of literature documents that positioning is a central success factor for the launch and overall performance of new products in the marketplace. Under certain circumstances, however, the measurement of positioning success can be problematic. Specifically, the application of attribute‐based measurement methods, which are frequently used in practice for this purpose, is subject to limitations in certain situations. For example, these methods can be problematic in product categories where products are evaluated as a whole or where they even lack attributes that create valuable differentiation. Their application can also be difficult in product markets in which the importance of product attributes is constantly shifting or in a cross‐national context where the importance of various attributes is likely to differ across countries. This paper introduces a new approach for measuring positioning effectiveness that helps overcome some key limitations of extant approaches and serves as a support tool for positioning‐related decisions. Positioning effectiveness is modeled as a customer‐based multidimensional construct capturing conceptually relevant dimensions of positioning success (namely dissimilarity, uniqueness, favorability, and credibility) at the holistic product level rather than the individual attribute level. Altogether seven studies show that the proposed positioning effectiveness measure is reliable, valid, and viable to be used across various types of branded products and distinct product categories. The results of the studies indicate the measure's ability to successfully predict important consumer behavior variables such as overall superiority or purchase intentions and demonstrate superior predictive performance compared with common attribute‐based approaches. The recognition of the relevance of different dimensions of positioning effectiveness should also enable new product managers to detect strengths and weaknesses of a product's current positioning, and thus serve as a tool to develop more effective product strategies. The general nature of the measurement instrument makes it particularly suitable for application in (1) longitudinal product‐tracking studies; (2) cross‐national studies involving comparisons of positioning effectiveness between products in different countries; (3) product categories characterized by technological turbulence (and hence attribute instability); and (4) studies aimed at comparing the positioning effectiveness of different products in a portfolio. Boundary conditions for the application of the measure and potential areas for further study are finally considered.