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Posits that, as the pace of change has accelerated rapidly and created unprecedented uncertainty in the markets of this decade, many companies have needed to dispense with existing, once reliable, practices in order to remain competitive. Suggests that the efficacy of one particular marketing tool, the product life cycle model, has been questioned, by various writers in the academic and business press, with regard to the general applicability and validity of its assertions and the claim it makes to be able to predict the marketing strategies that should be applied at different stages of a product’s life. Explores the arguments for and against the validity of the product life cycle model as a marketing tool in this present, dynamic environment.

The essential investments in new product development (NPD) made by industrial companies entail effective management of NPD activities. In this context, performance measurement is one of the means that can be employed in the pursuit of effectiveness.

This paper aims to empirically analyze how adaptive collaboration in supply chain management impacts demand forecast accuracy in short life-cycle products, depending on collaboration intensity, product life-cycle stage, retailer type and product category.

The authors assembled a data set of forecasts and sales of 169 still-camera models, made by the same manufacturer and sold by three different retailers in France over five years. Collaboration intensity, coded by collaborative planning forecasting and replenishment level, was used to analyze the main effects and specific interaction effects of all variables using ANOVA and ordered feature evaluation analysis (OFEA).

The findings lend empirical support to the long-standing assumption that supply chain collaboration intensity increases demand forecast accuracy and that product maturation also increases forecast accuracy even in short life-cycle products. Furthermore, the findings show that it is particularly the lack of collaboration that causes negative effects on forecast accuracy, while positive interaction effects are only found for life cycle stage and product category.

Investment in adaptive supply chain collaboration is shown to increase demand forecast accuracy. However, the choice of collaboration intensity should account for life cycle stage, retailer type and product category.

This paper provides empirical support for the adaptive collaboration concept, exploring not only the actual benefits but also the way it is achieved in the context of innovative products with short life cycles. The authors used a real-world data set and pushed its statistical analysis to a new level of detail using OFEA.

This paper aims to investigate the alignment between the information‐processing needs and capabilities during interorganizational relationships through the lenses of both the product and the business relationships life cycle concepts, and the types of information exchanged.

This paper follows up on a previous empirical study conducted in the automotive sector, investigating the electronic collaboration within the supply chain of a large European Automotive Supplier (EAS). Out of the 61 respondents from this previous study, four illustrative cases are selected to further investigate their information alignment, where each case involves one specific relationship between EAS and its business partners based on the supply chain collaboration classification provided by the German Association of the Automotive Industry (VDA).

The conclusion is that the phenomenon is bimodal and requires that the different information‐processing needs and capabilities associated with each stage of both the product and the business relationships life cycles should be considered.

The small number of illustrative cases and the specificity of the chosen sector limit the generalizability of the results. Without considering the various types of information‐processing needs and capabilities as well as the stage of both product and business relationships life cycles, a biased conclusion could lead to inappropriate information and communication technology investments and business decisions.

The richness of the cases and the genuine integration of the life cycle concepts and the type of information with the notion of alignment help to identify some key aspects of interorganizational relationships.

The purpose of this paper is to discuss life cycle cost management and highlight the practical challenges related to collecting adequate data and practicing long‐term cost management in an uncertain environment.

The paper reports a case study conducted in the Finnish Defence Forces. As part of the case study, a life cycle cost model for a case product was developed.

Activity‐based life cycle cost modeling can provide relevant information for varying product management needs at different stages in the life of a product. Quantification of uncertainty is one of the elements in the modeling that can improve the feasibility of LCC both for cost estimation and tracking purposes.

Only a few empirical studies on life cycle costing have been reported which focus on the defence sector. The paper contributes to our understanding of how LCC can be used in a continuous manner and depicts how LCC can produce a sharpened cost image of a particular product.

Reviews product life cycle theory and examines empirical evidence. Reports on empirical research carried out to determine the applicability of the theory to popular record products. Proposes a framework of the relationship between the producer life cycle and the marketing mix.

Studies have suggested that attributes are dynamic and a life cycle of product and service attributes exists. When an innovative feature is introduced, the feature might attract and delight customers. However, with the passage of time the state of the attractiveness of this feature may change, for better or for worse. The purpose of this paper is to provide a detailed model that shows the factors and related sub-factors that affect the life cycle of a feature and thereby explain the changes that may happen to a feature over time.

This model provide detailed explanations of the direct and indirect factors that affect the states of a feature, the ones that affect the rate of adoption, and the ones that trigger the changes between states. The model uses a current-market product’s feature to discuss the effects of these factors on the life cycle of this feature in detail.

This paper extends the theory of attractive quality attributes by identified seven states of the feature in its life cycle. These states are as follows: unknown/unimportant state, honey pot state, racing state, required state, standard state, core state, and dead state. This paper also identified eight major factors that affect the transition of the feature from one state to another. These factors include demographic, socioeconomic, behavioural, psychological, geographical, environmental, organisational, and technological factors.

The findings of this paper provide additional evidence that product and service attributes are dynamic. This paper also increases the validity of the attractive quality attributes theory and the factors that affect the state of the feature in its life cycle. The understanding of the state of the feature in its life cycle, and the factors that influence this change, helps not only in the introduction of completely new features but also in knowing when to remove obsolescent ones.

To provide an overview of research published in the management accounting literature on methods for cost management in new product development, such as a target costing, life cycle costing, component commonality, and modular design.

The structured literature search covered papers about 15 different cost management methods published in 40 journals in the period 1990–2013.

The search yielded a sample of 113 different papers. Many contained information about more than one method, and this yielded 149 references to specific methods. The number of references varied strongly per cost management method and per journal. Target costing has received by far the most attention in the publications in our sample; modular design, component commonality, and life cycle costing were ranked second and joint third. Most references were published in Management Science; Management Accounting Research; and Accounting, Organizations and Society. The results were strongly influenced by Management Science and Decision Science, because cost management methods with an engineering background were published above average in these two journals (design for manufacturing, component commonality, modular design, and product platforms) while other topics were published below average in these two journals.

The scope of this review is accounting research. Future work could review the research on cost management methods in new product development published outside accounting.

The paper centers on methods for cost management, which complements reviews that focused on theoretical constructs of management accounting information and its use.

The use of a life‐cycle framework is explored as a means of describing the evolution of partnership relationships between industrial buyers and sellers. Based on case studies of eight manufacturing firms, industrial buyer‐seller partnerships evolve through four stages: development, commitment, integration and dissolution. In addition to exploring a “traditional” life‐cycle pattern, case studies are used to illustrate and support examples of variations on the traditional partnership life‐cycle pattern. The life‐cycle analogy is useful to both practitioners and theorists in developing, understanding and influencing the patterns which industrial buyer‐seller partnerships may follow.