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Given the cryptocurrency market boom in recent years, this study aims to identify the factors influencing cryptocurrency pricing and the major gaps for future research.

A systematic literature review was undertaken. Three databases, Scopus, Web of Science and EBSCOhost, were used for this review. The final analysis comprised 88 articles that met the eligibility criteria.

The influential factors were identified and categorized as supply and demand, technology, economics, market volatility, investors’ attributes and social media. This review provides a comprehensive and consolidated view of cryptocurrency pricing and maps the significant influential factors.

This paper is the first to systematically and comprehensively review the relevant literature on cryptocurrency to identify the factors of pricing fluctuation. This research contributes to cryptocurrency research as well as to consumer behaviors and marketing discipline in broad.

Digitalization and marketing technologies have made it possible to overcome some barriers to pricing – a multidisciplinary field between marketing, finance and IT – and have set the stage for a paradigm shift in the pricing profession. Value creation, the pricing process, and price communication have been transformed by innovative business models and advanced algorithmic and human–machine solutions. This chapter synthesizes the literature to date and provides a comprehensive framework for an all-encompassing 360° pricing approach that broadens the understanding of pricing in the context of digital business across all steps of the price management process. Starting from product attributes and motivational beliefs in consumers' value assessment and adoption of (technological or digital) products or services, new business models and pricing models emerge in the digital economy, human–machine solutions for price implementation and repricing are increasingly applied, and price search and communication take place through a variety of digital communication channels. Each stage of this framework discusses concrete examples, highlighting the freemium strategy, the subscription model, price tracking and repricing tools, and digital price information channels such as e-commerce, marketplace, or price comparison platforms. The implications for price management in a digital, technology-driven landscape are discussed from the executive level to the analyst level.

The learning outcomes of this study are as follows:

1. the benefits of differential pricing over uniform pricing;

2. the differences between second- and third-degree price discrimination;

3. the rationale for charging different prices for segments having different willingness to pay; and

4. how different prices for the same product can lead to perceptions of unfairness and how companies might manage such an issue.

This case outlines the decisions that Adar Poonawalla, the CEO of Serum Institute of India (Serum), had to make in late April 2021 concerning its pricing for the COVID-19 (Covid) vaccine. Serum was the world’s largest manufacturer of vaccines, and its Covishield vaccine had received regulatory approval, but faced an unusual challenge and opportunity. In most countries, governments had procured Covid vaccines from manufacturers and then delivered the vaccines to consumers free of cost. But in India, there was a three-tier pricing system. While the Government of India had committed to free vaccines in government-run public hospitals, it also allowed vaccine makers to directly sell vaccines to state governments, as well as private hospitals, who were at liberty to charge consumers for the vaccines. This created an interesting pricing dilemma for Serum: as different customers had different willingness to pay, should Serum use differential pricing? Would such a tiered pricing system be considered fair? How many different price points should Serum maintain? By exploring these and related decisions that Poonawalla had to make, the case is intended to teach price discrimination.

The case is intended for graduate-level courses in marketing, pricing and economics. This case illustrates the principles of differential pricing/price discrimination. More specifically, it highlights pricing strategies motivated by second- and third-degree price discrimination in an emerging market’s health-care context. From the information in the case, the student can learn to apply the concepts of second- and third-degree price discrimination in marketing. After working through the case and assignment questions, instructors will be able to help students understand the following concepts:

Teaching objective 1: the benefits of differential pricing over uniform pricing.

Teaching objective 2: the differences between second- and third-degree price discrimination.

Teaching objective 3: the rationale for charging different prices for segments having different willingness to pay.

Teaching objective 4: how different prices for the same product can lead to perceptions of unfairness and how companies might manage such an issue.

Teaching notes are available for educators only.

CSS 8: Marketing

This study aims to examine consumer perception during COVID-19 and identifies cruise industry marketing strategies to fill a gap in crisis management and product pricing literature.

This study developed and validated two-factor measurement scales (vaccine perception and protective behavior), which predicted cruise intents well. This study revealed how geo-regional factors affect consumer psychology through spatial analysis.

This study recommended pricing 7-day cruises at $1,464 (the most preferred length). The results also showed that future price hikes would not affect demand and that coastal marketing would help retain customers.

This study contributed to the business, hospitality and tourism literature by identifying two new and unique factors (vaccine perception and protective behaviors), which were found to affect consumers’ intention to travel by cruise significantly. The result provided a better understanding of cruise tourists’ pricing preferences and the methods utilized could easily be applied to other cruise markets or tourism entities.

The major objective of the study is to investigate the effect of selected customer retention strategies (fair pricing, online marketing and frequent communication) on perceived service quality and organisational performance within the retail sector in Zimbabwe. Also, the study sought to understand the moderating role of ICT on the effect of customer retention strategies on perceived service quality and organisational performance.

A cross-sectional survey of 280 employees within Zimbabwe's retail sector was adopted and respondents were selected using simple random sampling method. A structured questionnaire with Likert type questions was used to gather data.

The study findings indicate that the performance of organisations within the retail sector is influenced by superior service quality, selected customer retention strategies and also moderated by the use of ICT.

The study contributes to the business management body of knowledge by assessing the effect of selected customer retention strategies (fair pricing, online marketing and frequent communication) on perceived service quality and organisational performance within the retail industry of an emerging economy. The study is also unique in that it used ICT to moderate the effect of selected customer retention strategies on perceived service quality and organisational performance.

The purpose of this study is to understand the profit implications of analytics-driven centralized discriminatory pricing at the headquarter level compared with sales force price delegation in the purchase of an aftermarket good through an indirect retail channel with symmetric information.

Using individual-level loan application and approval data from a North American financial institution and segment-level customer risk as the price discrimination criterion for the firm, the authors develop a three-stage model that accounts for the salesperson’s price decision within the limits of the latitude provided by the firm; the firm’s decision to approve or not approve a sales application; and the customer’s decision to accept or reject a sales offer conditional on the firm’s approval. Next, the authors compare the profitability of this sales force price delegation model to that of a segment-level centralized pricing model where agent incentives and consumer prices are simultaneously optimized using a quasi-Newton nonlinear optimization algorithm (i.e. Broyden–Fletcher–Goldfarb–Shanno algorithm).

The results suggest that implementation of analytics-driven centralized discriminatory pricing and optimal sales force incentives leads to double-digit lifts in firm profits. Moreover, the authors find that the high-risk customer segment is less price-sensitive and firms, upon leveraging this segment’s willingness to pay, not only improve their bottom-line but also allow these marginalized customers with traditionally low approval rates access to loans. This points out the important customer welfare implications of the findings.

Substantively, to the best of the authors’ knowledge, this paper is the first to empirically investigate the profitability of analytics-driven segment-level (i.e. discriminatory) centralized pricing compared with sales force price delegation in indirect retail channels (i.e. where agents are external to the firm and have access to competitor products), taking into account the decisions of the three key stakeholders of the process, namely, the consumer, the salesperson and the firm and simultaneously optimizing sales commission and centralized consumer price.

A secondary research method was used to collect data for this case. The authors have made use of newspaper articles and published articles written by journalists and experts, which are available in the public domain.

This case discusses the hurdles faced by Netflix in India. Netflix experienced rapid growth ever since its entry into the Indian over-the-top (OTT) sector. The aggressive pricing strategies by OTT competitors put Netflix in a defensive position in India. Netflix introduced the low-priced mobile-only plan to attract price-sensitive Indian consumers. However, this was not sufficient. Netflix was forced to reduce the price of all its plans in December 2021. The dilemma faced by Reed Hastings (Founder and Co-CEO, Netflix) was whether the revised price was low enough to hold on to existing subscribers and attract new subscribers in India. Netflix was caught between the rock and the hard place in its pursuit to achieve its target of achieving 100 million subscribers from India versus continuing its skimming-pricing strategy. This case highlights the compound challenges of low household income in India and high-income inequality resulting in a lower available market for multinational service providers such as Netflix. The pricing plans and features of OTT competitors in India have also been discussed in sufficient depth to facilitate analysis and classroom discussion by the target audience.

Undergraduate students studying marketing management and basic marketing courses in business management and commerce streams can use this case. This case can also be used for marketing specialization courses at the undergraduate level.

This study aims to present a conceptual framework for understanding the dual orientations of market-based organizational learning (MBOL), namely, market orientation (MO) and learning orientation (LO), in the development of pricing capability (PC) with the goal of improving business performance (BP). This framework further explores the moderating effects of coordination mechanism (CM) and environmental dynamism (ED) on the PC–BP link and the mediating role of PC on the relationship between MBOL and BP.

This study applied the partial least squares structural equation modeling on survey data from 298 Indian small- and medium-sized enterprises (SMEs) operating in manufacturing and service sectors.

The findings indicate that MBOL significantly contributes to PC development, which in turn improves BP. Interestingly, PC acts as a partial mediator in the MO–BP link, as well as LO–BP link. Moreover, CM and ED strengthen the effect of PC on BP. Finally, MO and LO have substantial and distinct effects on PC and BP.

This study examines only one market-related capability, i.e. PC, considers multi-industry SMEs rather than specific large industries and uses cross-sectional instead of longitudinal data.

These findings are crucial from managerial standpoints because SMEs need to understand the MBOL dimensions, including MO and LO, and their significance in improving PC and BP.

Understanding how MBOL adoption contributes to superior performance is critical, but research in the SMEs context is still lacking. This study addresses a research gap by examining the impact of MBOL on BP, both directly and indirectly, through PC in the context of SMEs.

The purpose of this paper is to provide a theoretically rigorous and practically relevant summary of research findings that enables managers to drive sustainable profits improvements via pricing. It showcases multiple case studies that demonstrate how companies can achieve higher-than-average profitability by implementing intelligent pricing strategies and tactics.

Over the past 20 years, this writer has conducted dozens of academic surveys with managers exploring the antecedents, moderators and consequences of pricing practices for existing and new products. The writer has analyzed all pricing research published in leading academic journals over the past decades. Finally, as equity partner of Hinterhuber & Partners, a pricing consultancy (www.hinterhuber.com), this writer – through collaborations with companies and workshops conducted with practicing managers – has collected data and insights on best practices in managing pricing as a strategic activity.

Pricing is the most powerful driver of superior profits, yet managers view pricing as relevant only in the context of innovation. This narrow view prevents companies from realizing their full potential. Best practice examples of pricing as well as rigorous academic research suggest that pricing based on solid scientific principles helps average companies to achieve above-average results. This paper presents a review of recent research and summarizes the fundamental principles that managers must master so that pricing becomes an enabler of lasting superior performance.

Academic research in pricing surpasses managerial practice. Managers often rely on outdated concepts when it comes to pricing strategy and tactics.

The paper presents a framework that allows managers to implement pricing strategies that improve performance.

Effective pricing strategies benefit companies, customers and other stakeholders.

The paper provides a comprehensive overview of the latest research on pricing and thus documents that pricing based on solid, scientific principles is an enable of lasting, above-average profitability.

This study aims to examine the market structure and the factors influencing the price of fuelwood in the Dormaa Municipal in the Bono region of Ghana.

A total of 200 fuelwood harvesters, 20 wholesalers and 20 retailers were sampled by using probability and non-probability sampling methods. Gini coefficient was used to analyse the market structure, whereas quantile regression was used to analyse the factors influencing the pricing of fuelwood.

The study results indicated that the fuelwood harvesters’ market is less concentrated, with a Gini coefficient of 0.22, likewise the fuelwood intermediaries’ market, with Gini coefficients of 0.22 and 0.32 for wholesalers and retailers, respectively. The price of fuelwood decreased when sold through the retailer and wholesaler outlets, but the price increased when sold via the end-user outlet. Less smoky fuelwood species attracted higher prices, whereas easy-to-light fuelwood species were sold at lower prices. Furthermore, fuelwood from Perpewa (Celtis zenkeri) and Acacia (Senna siamea) species received the highest prices in the market. It is recommended that fuelwood harvesters establish woodlots with acacia (Senna siamea), especially and Perpewa (Celtis zenkeri), both of which emit less smoke and have high calorific value with fast rotation period. This will ensure fuelwood availability and offer better prices to the harvesters, as such species command high prices in the market.

There is paucity or near unavailability of literature on the market structure and the influence of the hedonic attributes on different quartile prices of fuelwood; the result of this study provides the foundational springboard for future studies on fuelwood marketing.