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Just‐in‐time manufacturing is one of the most important management developments of the last decade and a half. Articles on the subject have virtually flooded the business periodical literature. Yet despite the proliferation of this literature, there are indications that the fundamental implications of this concept as an effective competitive strategy have not been fully grasped by U.S. manufacturers. This article attempts to integrate the manufacturing strategy of just‐in‐time with an important element of the firm's marketing strategy—the price element of the marketing mix. Given the competitive pressures on many U.S. firms, price becomes an increasingly important competitive weapon. Only when the benefits deriving from just‐in‐time show up in a firm's marketing strategy will U.S. firms demonstrate an ability to translate an effective manufacturing strategy into a significant competitive edge.

For two-sided platforms, the utility of users on one side of the platform depends in part on the number of users on the other side of the platform, a phenomenon called indirect network externalities. With the rapid development of two-sided platform and the popularity of platform membership, more and more two-sided platforms have launched joint membership through horizontal cooperation in order to take advantage of indirect network externalities to increase platform profits.

Our study explores the optimal bundling strategy for platform memberships under horizontal cooperation considering indirect network externalities. The main purpose of our study is to obtain the optimal pricing under different strategies (pure component, pure bundling, and mixed bundling) and contrast different strategies under different indirect network externalities.

Results suggest that the platform's optimal pricing for consumers and sellers depends on the indirect network externalities. Interestingly, the higher the indirect network externalities from consumers, the higher the price of the platform charges to sellers, and the platform might even subsidize sellers. Besides, when there are equal proportions of different types of consumers in the market, indirect network externalities that are too high, too low, or heavily lopsided may discourage the platforms from bundling their memberships. When the composition of consumers changes, the optimal strategy will also change. Our results can be employed in practical applications of bundling, which can help the platform increase profits.

Advances in technology, operations research, and data driven pricing and marketing are leading pricing strategy into new and untested waters – toward dynamic pricing, and variable pricing strategies, which ultimately require changes in how we view pricing strategy. The dominant view of pricing strategy is that pricing goals, objectives, and strategies should be formulated a priori, and should be consistent with marketing and corporate strategies – deliberate pricing strategy. This chapter argues that firms need to develop new strategic pricing skills that lead to more improvisational, innovative, or adaptive pricing strategies. I call this type of price strategy-making emergent pricing strategy. Innovative pricing strategies that the organization judges, or senses to be effective, are repeated, shared, expanded, and refined into successful pricing patterns that, over time and across situations, become pricing strategy. Thus, rather than specifically designing pricing strategy to achieve a goal, here the organization acts upon a price innovation that seems to make sense for this customer, this market segment, this setting, and this situation, then interprets the outcomes, signals, and reactions that seem to flow from the pricing action, and shares and encourages adoption and adaption by others in the organization. Emergent pricing strategy is particularly useful in unstable, turbulent, and complex product and market environments in which price-sensitive buyers wield significant power and influence.

The purpose of this study is to investigate the pricing strategies for knowledge payment products, taking into account the quality level of pirated knowledge products, in the context of platform copyright supervision.

This study abstracts the knowledge payment transaction process and aims to maximize producer's revenue by constructing a pricing model for knowledge payment products. It discusses pricing strategies for knowledge payment products under two scenarios: traditional supervision and blockchain supervision. The analysis explores the impact of pirated knowledge products quality level and blockchain technology on pricing strategies and consumer surplus, while providing threshold conditions for effective strategies.

Deploying blockchain technology in platform operations can significantly reduce costs and increase efficiency. In both scenarios, knowledge producer needs to balance factors such as the quality of pirated knowledge products, the supervision level of platform, and consumer surplus to dynamically adjust pricing strategies in order to maximize his own revenue.

This study enriches the literature on the pricing models of knowledge payment products and has practical significance in guiding knowledge producer to develop effective pricing strategies under copyright supervision.

Different external supply scenarios faced by the retailers will affect their choice of strategy when supply is disrupted and becomes far less than demand, urgently. This study focuses on analyzing both demand and supply side response strategies to meet customer demand and reduce the impact of the shortage during supply disruptions.

According to the quantity of products that the external market can provide, the external supply scenarios were divided into sufficient-type external supply and learning-type external supply. A two-echelon perishable goods supply chain was analyzed, and three kinds of contingency strategy models for downstream retailers were investigated. First, in the sufficient external supply scenario, the optimal price and transshipment quantity to maximize retailer's profits is discussed. Second, in the scenario of learning-type external supply, this study analyzes the optimal decision in three mechanisms of the hybrid strategy and their application: price priority mechanism, quantity priority mechanism and price–quantity balance mechanism. Furthermore, the influence of penalty cost and supply on the priority orders of different mechanisms was studied.

Results show that comparing the two pure strategies (pricing strategy and transshipment strategy)it was noted that the hybrid strategy produces the best results in sufficient-type external supply scenario. In the learning-type external supply scenario, a numerical study has shown the existence of three areas in case of penalty cost and supplier's capacity, and each areas has different priority orders of the three mechanisms. Under the situation of learning external supply, the retailer's optimal strategy is affected by parameters such as penalty cost and supply volume.

The main innovation of the work lies in the following: First; the external supply situation was divided into sufficiency type and learning type, which improves the external situation faced by retailers after the outbreak of emergencies, helps retailers understand the external situation, conforms to the actual situation and has certain practical application value. Second; in the context of learning external supply, there are three coping strategies for retailers, including: Price priority mechanism, Quantity priority mechanism and Pricing and transshipment balance mechanism. This will help retailers make strategic choices, make more scientific management decisions and improve the supply chain emergency management theory. Third; the demand side response was managed through the change of external supply during supply side recovery period and supply disruption. The proposed model enables managing and analyzing supply disruption efficiently and effectively via handling uncertainty by considering all aspects of decision-making process. The proposed model can be applied in various fields such as vegetable and fruit, fresh food, etc.

This paper aims to address the following problems: What are the firms’ optimal pricing and quality policies under three scenarios (no bundling, pure bundling and mixed bundling)? In what condition will one bundling strategy dominate the others? How does the degree of complementarity affect the firms’ decision?

Using the game theory, this study first establishes three models of bundling strategies: no bundling, pure bundling and mixed bundling and then obtains the optimal prices and quality decisions. This study uses numerical analysis to explore the relationships between the prices (demands and profits) and some key parameters and to obtain some valuable management complications.

Some interesting and valuable management implications are established: regardless of the degree of complementarity, adopting a pure bundling or mixed bundling strategy is better than separately selling an individual product; a high degree of complementarity leads to reduced profit in the no bundling and mixed bundling scenarios, whereas the condition in the pure bundling strategy is the opposite; and when the degree of complementarity is adequately large, choosing pure bundling strategy is more profitable.

On the one hand, this study does not calculate the profit sharing ratio, and hence, the equilibrium profit sharing ratio can be explored in future work. On the other hand, marketing efforts (e.g. advertising and promotion) can be included in the study.

This study derives the necessary conditions for the most effective bundling strategy that maximizes firm’s profits, and these conclusions can provide a decision reference to the bundling decisions of firms.

First, the optimal bundling strategies in a horizontal supply chain consisting of two firms is considered. Under the pure and mixed bundling strategies, the two firms sell the bundled product by building a cooperative program. Second, both the pricing policies and quality decisions of supply chain members under the different bundling strategies are studied.

The aim of this paper is to investigate competitive pricing strategies of apparel brands and retailers.

The paper begins with a broad discussion of competition by examining Porter's five forces model, and narrows by examining price competition within price tiers in the retail apparel industry according to store format and brands. Included are case studies of apparel retailers and brands incorporating concepts of pricing strategies, brand positioning, and price competition, with a focus on retail channel relationships. The paper analyzes the impact of price competition on apparel retailers and brands, and further examines price tiers as a competitive strategy.

The study reveals that the concept of price tiers is applicable to apparel retailers and brands. Price tiering is a vehicle for market positioning for the retail apparel industry. Retailers are enacting a price tier strategy by branding their retail store formats or engaging store brands as a vehicle of differentiation for a tier. Retailers and brands can be successful with a price tier strategy, unless they fail to differentiate between tiers on factors other than on price alone.

The lack of relevant price competition literature, relating to the retailer apparel industry, forced the exploration of price competition literature from grocery and automotive sectors.

The paper provides useful information on the impact of price competition on apparel retailers and brands, and also price tiers as a competitive strategy.

In this, the second edition, the experience of actually running a marketing planning process in organisations further updates and revises the highly practical emphasis. The need for vision, how to enunciate it, and the interface between various levels of managers are integrated specifically into the process. Further analysis using the SWOT technique is provided together with enhanced insight into maintaining competitive advantage. Essentially a practical manual on running a planning process, the worksheet method has been well tried and tested. The experience of managers who have implemented the process using the first edition is included to enhance the technique′s dynamism and effectiveness.

This study aims to explore optimal pricing strategies for innovations with direct network externalities – the effect that the number of adopters of an innovation has on the utility of the innovation to other potential adopters. Examples of such innovations are fax machines, e‐mail, cellular phones, and software programs such as word processors. The success of these innovations requires a minimum number of adopters.

The paper uses agent‐based modeling and simulation.

The relationship between price and net present value (NPV) of revenue resembles an asymmetric inverse U‐shape. A low‐pricing strategy outperforms high‐pricing, while a moderate‐pricing strategy outperforms both low‐ and high‐pricing strategies. Moreover, heterogeneity of consumer price sensitivity positively affects the NPV of sales.

Pricing durable new products with network externalities is more challenging than other types of innovations. The results indicate that firms can maximize their NPV by adopting a moderate pricing strategy. Moreover, firms must consider heterogeneity of consumer price sensitivity along with the market price elasticity when making pricing decisions. Detailed strategic implications and recommendations are discussed.

Several recent studies have called for examining pricing strategies for new products with network externalities. The study findings challenge the common wisdom that a penetration pricing strategy is an optimal approach for durable products with network externalities. Moreover, while other studies have highlighted the importance of market price elasticity, extensive simulation experiments conducted in this study show that heterogeneity of consumer price sensitivity is an important factor that must be considered. Finally, the study presents an agent‐based modeling approach for exploring optimal pricing of innovations with network externalities.

The purpose of this paper is to examine the interaction of pricing strategies with other aspects of launch, in particular, timing, logistics/inventory strategy, and coordination with support organizations, and the effect on profit and competitive performance.

The paper presents an empirical study of 215 recent new product launches, focusing on pricing and other strategic and tactical launch decisions and the resulting profitability and competitive performance. Clusters of new product launches are identified and the profitability and competitiveness of each cluster are discussed.

The paper finds that some clusters are related to greater success than others. The most profitable and competitively successful cluster contained launches supported by solid market research and marked by good timing decisions. By contrast, the least profitable/successful cluster were higher price launches unsupported by adequate research.

The study is limited by the fact that the sampling frame is made up of members of a professional association of product development and management, and may therefore be more representative of “best practice” in new product development (NPD) than of NPD in general. The authors believe the use of the key informant method is justified in this study, however this method has been criticized in the past.

The pricing decision for a new product is sometimes oversimplified as a “high‐low” or “skimming versus penetration” choice. The study finds that the actual effect of pricing on ultimate success is much more complex, and that one must consider not only price level, but also the timing of the launch, the logistics and inventory strategy, the extent of market research, testing, and planning, and so forth.