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The purpose of this paper is to measure the extent to which selected contextual variables have an impact on the adoption of strategic pricing by industrial service firms, and determine the effect of the adoption of strategic pricing on company performance.

Data were collected from 154 industrial service firms operating in four different service sectors through a mail survey. Moreover, qualitative research through 20 in-depth interviews was carried out.

The study’s main findings indicate that market orientation along with a leading position in the market and market growth boost the development of strategic pricing. On the other hand, technological and market turbulence hinder this development, while the overall impact of turbulence is reduced in market-oriented firms. Finally, a positive impact of strategic pricing on company performance was found.

The adoption of strategic pricing requires attention to a variety of factors, while this adoption can improve both qualitative and quantitative aspects of the company’s performance. The significance of these findings notwithstanding, the context of the study does limit generalization of its findings to other industrial service sectors and national contexts.

The current study represents one of the first attempts to empirically examine the aforementioned topics in an industrial service context.

The purpose of this research paper is to examine the impact of a number of variables on the adoption of strategic pricing by industrial service firms, and the effect of this adoption on company performance.

Data were collected from 301 industrial service firms operating in seven different service sectors through a mail survey. Moreover, qualitative research through 35 in-depth interviews was conducted.

The findings reveal that market orientation and market growth boost the development of strategic pricing. On the other hand, technological and market turbulence hinder this development, while the overall impact of turbulence is reduced in market-oriented firms. Finally, strategic pricing has a positive impact on company performance in both quantitative and qualitative terms.

The adoption of strategic pricing requires attention to a variety of company- and market-related factors, while this adoption can improve various aspects of company performance. The addition of other moderating and mediating effects could certainly provide additional insights.

The current study represents one of the first attempts to empirically examine the above topics in an industrial service context.

Harsh economic conditions have put pricing higher on the agenda but responses to pricing challenges have frequently been tactical. The intent is to build on basic pricing principles to emphasize a strategic perspective on pricing built around opportunities to deliver superior customer value.

Our logic is drawn from the observation of company pricing practices and interesting moves from conventional to innovative pricing strategies.

Our observations underline the need for executives to adopt a more strategic view of price and to examine the scope for raising prices, especially in a post‐recession economic scenario.

Our action agenda addresses: why there is an urgent need to make pricing decisions strategically, particularly as economic recovery occurs, with important insights coming from innovative pricing models designed to deliver superior customer value; the role of price in strategic positioning – key management considerations are whether price is to play an active or passive role in marketing the product or service, and whether price is high or low compared to alternatives; the challenges of raising prices in recession and recovery conditions, where analysis underlines the importance of considering product differentiation from a customer perspective and comparing this with how strongly the customer needs the product; and the need to design a value‐based pricing strategy which integrates the conclusions reached about the strategic role of price.

Viewing pricing as a “quick fix” and the only route to maintaining sales or protecting market share underplays the strategic importance of pricing and its long‐term strategic implications. We propose a management action agenda for making pricing decisions strategically.

Using information systems via data mining and cluster analysis technologies, consumers' strategic behaviour can be measured, and their patience levels can be accurately described. This paper investigates the retailer's pricing and ordering policies when facing strategic consumers with different levels of patience and discusses the impacts of consumers' patience levels and proportions on retailers' maximum expected profits.

By cluster analysing transaction data on the number of websites visited, browsing time and purchase decision time, consumers' patience levels can be obtained. The authors formulate a newsvendor model considering customers' different patience levels. Three scenarios are investigated: two segments of consumers with two different levels of patience (Scenario I), multiple segments of consumers with different levels of patience (Scenario II) and a continuum of consumers whose levels of patience follow a continuous distribution (Scenario III). Then, general formulas are deduced for retailers' optimal prices, ordering quantities and profits.

Under Scenario I, if the proportion of less patient consumers is greater (less) than a threshold, the retailer's optimal price is equal to the less (more) patient consumers' reserve price. Under Scenario II, once the proportion of fully strategic consumers exceeds a certain threshold, the retailers' optimal price is equal to the fully strategic consumers' reserve price regardless of consumers' patience levels and proportions. Under Scenario III, the retailer's pricing and ordering policies depend on the distribution of their patience level.

Few studies have considered consumers' different levels of patience when making retailer pricing and ordering decisions. In this paper, strategic consumer behaviour is measured, and consumers' patience levels and proportions are obtained by cluster analysing consumer transaction data recorded by an information system. Three scenarios in which strategic consumers may be heterogeneous and have different patience levels are investigated. The results can guide retailer decision-making.

The purpose of this paper is to discuss the role of reference effect on newsvendor’s decision behavior in a market with strategic customers and work out the newsvendor’s optimal pricing policy and ordering quantity.

This study utilizes the prospect theory and strategic customer framework to analyze the decision-making behavior on the newsvendor’s optimal pricing policy and ordering quantity. The paper further presents an extension of newsvendor model and provides the model’s properties. The paper finally analyzes the results with various parameters on the model and reports on the insights generated by the model.

The paper indicates that the ordering quantity is not altered with the changing proportion of strategic customers and myopic customers, but the ordering quantity and the pricing strategy are influenced in terms of newsvendor’s reference effect, loss aversion, product cost, and salvage price.

The research findings have important implications for decision makers. Previous researches have studied the incomplete rationality newsvendor’s decision-making behavior mainly by analyzing the vendor’s risk preferences or loss aversion, but the effect of reference point also plays an important role in analyzing the decision-maker’s behavior. The paper provides the optimal pricing policy and ordering quantity with the reference effect considering the strategic customers behavior. This model is also a valid complementarity to behavioral operations management research area.

The paper examines the role of reference effect in newsvendor problem with the strategic customers and analyzes the impact of parameters such as loss aversion on the newsvendor’s decision behavior.

This paper first attempts to analyze the issue of brand proliferation by a monopolist allowing transfer pricing as a channel to bridge headquarters and brand divisions, and then to view how the headquarters uses transfer pricing as a strategic device to encounter intra‐brand competition, inter‐brand competition and cross‐border profit‐shifting under an oligopolistic market.

This paper models cross‐country interactions in a Cournot‐Nash framework, and characterizes equilibrium that involves both transfer pricing and output decision. MNE's behavior is based on a two‐stage process in which the centralized headquarters' prior action on setting transfer pricing is to backup the decentralized subsidiaries in their output decision‐making.

It is demonstrated that MNEs have the incentive to manipulate their transfer prices in order to shift profit cross‐border. Higher transfer pricing enables brand divisions to collude easier in the intra‐brand competition model, and the level of transfer price hinges upon the strength of intra‐brand competition and inter‐brand competition. In addition, transfer pricing is affected by tax differences between two countries.

This paper provides the theoretical underpinning to see how headquarters may use transfer pricing as a strategic device to face intra‐ and inter‐brand competition that is visibly evident in many diverse industries.

Discusses pricing decision making, one of the oldest marketing topics, including several pricing methods. Presents a strategic pricing framework, developed from pricing literature. Presents rules for evaluating strategic pricing alternatives. Offers a model for marketers to explain and improve pricing decision‐making.

Differentiated pricing for every customer is a nifty strategy, but will it fly? Airlines divide the business folks from the tourists (the criteria being a reservation with a weekend day stay), and then price each seat accordingly.

Despite its increased adoption by small, medium and large firms, pricing continues to be ignored in the C-suite. C-suite executives have minimal understanding of what pricing can do and how it impacts a firm’s performance. After two years in the COVID-19 pandemic and the resulting economic crisis, consultants agree that the next wave of strategies and business models will require the development of strategic pricing capabilities, including analytics and software.

The authors conducted 49 interviews with CXOs, VPs of pricing and CEOs of pricing software vendors to understand how the best-performing companies use pricing to drive profits and select pricing technologies. Then, supported by the Professional Pricing Society, the world’s largest organization dedicated to pricing, the authors conducted a 2020 survey of 540 pricing professionals to understand the perceptions of pricing in the C-suite and how top executives prioritize pricing investments. The authors complemented their own research with analysis of publicly available data, analyst presentations and public comments by CEOs on pricing.

The authors propose a portfolio of 15 activities to include in the CEO’s strategic agenda and 10 actions to get started with in the short term. The next normal will not be based on business-as-usual. For the next three to five years, developing strategic pricing capabilities will give firms a competitive advantage over those who continue to neglect this hidden gem.

In the context of the accelerating economic recovery, the authors address one of the most pressing priority for the C-suite. The authors focus on a series of actions and activities that the C-suite can take to accelerate recovery and focus on profitable growth.

A significant amount of research in pricing has focused on price as a unidimensional construct – one consisting of a single number (e.g. $1.99). However, the evolving marketing environment, combined with notable growth in services and goods categories that require the communication of complex price information, has led to the use of multi‐dimensional prices. Multi‐dimensional prices consist of multiple numbers (e.g. $199 a month for 36 months) and as a result require the consumer to carry out specific mental computations to determine the cost of the offer. In this paper, empirical evidence on consumer difficulty in evaluating multi‐dimensional prices is examined. Then the strategic impact of such difficulties for pricing managers as well as regulators is examined. The paper concludes with a discussion of the implications of multi‐dimensional pricing on past research findings, and reflects on existing understanding of consumer response to price.