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The purpose of this paper is to evaluate the interaction between inventory availability (scarcity) and pricing levels (price-leadership (PL)), and its effect on product returns in the internet retail supply chain. Specifically, this paper investigates how supply chain managers can use inventory (seller-induced scarcity) and pricing (PL) levers to control product returns.

Empirical data of sales and product returns from an internet retailer is analyzed to identify the scale of the effect that product scarcity and PL has on product returns. These factors are considered in developing a sales-return process model which is used with empirical data in a simulation study. The study evaluates changes in product returns for different policy settings related to PL and inventory levels. Findings of the simulation study are validated using statistical analysis of empirical data.

PL and seller-induced product scarcity affect the rate of product returns; however, the scale of this effect depends on inventory and pricing decisions. The results identify an inflection boundary based on scarcity and PL levels which reverses this effect. This reversal is explained by underlying principles at play regarding buyers’ valuation of the sale and corresponding product attributes.

Supply chain managers in internet retail can leverage lower inventory under the seller-induced scarcity approach to improve revenues. However, reducing inventory levels beyond a threshold is counterproductive, due to an associated increase in product returns. Similarly, setting market competitive prices (PL) can help reduce product returns. Under the seller-induced scarcity condition, this effect is reversed for inventory levels below a threshold. Retailers can implement the methodology developed in this paper to identify the inventory-price threshold that can help increase revenues while keeping the rate of product returns at a manageable level.

This research extends prior work regarding the role of product scarcity and pricing on product returns and develops a deeper understanding of how these factors can be managed to control product returns in the internet retail setting.

The purpose of this paper is to capture the dynamic variations in sales of a product based upon the dynamic estimation of the time series data and propose a model that imitates the price discounting and promotion strategy for a product category in a retail organization.

Time series data relating to sales has been used to model the sales estimates using moving average and proportional and derivative control; thereafter a sales forecast is generated to estimate the sales of a particular product category. This provides valuable inputs for taking lot sizing decisions regarding procurement of the products and selection of suppliers. A hybrid model has been proposed and explained with a hypothetical case, which considerably impacts the sales promotion and intelligent pricing decisions.

A conceptual framework is developed for modeling the dynamic price discounting strategy in retail using fuzzy logic. The model imitates sales promotion and price discounting strategy. This has helped minimize the inventory cost thereby keeping the profitability of the retail organization intact.

There is no appropriate empirical data to verify the models. In light of the research approach (modeling based upon historical time series data of a particular product category) that was undertaken, there is a possibility that the research results may be valid for the product category that was selected. Therefore, the researchers are advised to test the proposed propositions further for other product categories.

The study provides valuable insight on how to use the real-time sales data for designing a dynamic automated model for product sales promotion and price discounting strategy using fuzzy logic for a retail organization.

Draws from various theoretical bases and empirical research to offer managerial recommendations concerning the communication of sale price information in advertisements. Addresses the manner in which the manipulation of price cues, semantic cues and product cues in an advertisement can enhanceperceptions of utility via increases in the internal reference price, the perceived value implied by the offering price, and perceptions of product quality.

The paper attempts to discuss the optimal pricing decisions under the decentralized and centralized decision and analyze the influence of online reviews and in-sale service on dual-channel supply chain. Finally, the authors design a two-part tariff coordination mechanism.

To deal with this pricing conflict problems of dual-channel supply chain consisting of dominant manufacturer and a retailer, considering the fact that online reviews and in-sale service are important factors on consumers’ purchase decisions, the authors establish some basic models and exploit them to discuss the optimal pricing decisions under the decentralized and centralized decision and analyze the influence of online reviews and in-sale service on dual-channel supply chain. Finally, the authors design a profit-sharing coordination mechanism.

The results show that the optimal online direct selling price is positively correlated with product perceived quality obtained from online reviews and negatively correlated with the in-sale service. The traditional retail price is positively correlated with the in-sale service and weakly correlated with online reviews. For the manufacturer and retailer, whether decentralized decision or coordination contract, their profits increase with the increase of the in-sale service in a certain range and quality perceived from spontaneous online reviews. Online reviews and in-sale service are important factors on consumers’ purchase decisions. Positive in-sale services and online reviews can provide consumers with a better shopping experience, thereby promoting their enthusiasm for shopping and improving their quality of life. The two-part tariff coordination mechanism improves the profits of the manufacturer and the traditional retailer, respectively, through the transfer fee.

The proposed approach can well analyze the channel conflicts and pricing problems between retailers and manufacturers with respect to product offline price and online price. The analysis and results can inform decision-making for manufacturers and retailers.

The article seeks to discuss how and why it is possible to motivate a sales force to follow the guidelines of a consistent pricing policy that promotes profitability and increases margin, and which is beneficial to both providers and consumers of products and services.

Theories and examples stemming from the authors' research and experience with the subject matter are stated. The sales incentive theory in particular is supported by a specific formula that determines the sales credit someone would earn for making a sale based on profit contribution rather than price.

While employing flexible pricing policies in competitive markets is enticing for suppliers, it can ultimately lead to price erosion and falling margins. A sound pricing policy lets customers know that the price they are paying is related to the value they receive, and keeps salespeople from dealing with long, complicated negotiation processes. While many managers worry that their sales force won't accept such a change, most salespeople will adopt it if the new policy is implemented well. The key is to recompense salespeople for driving profitability instead of just revenue and sales volume.

This article addresses an ongoing problem that many companies face as they try to win and maintain business using flexible pricing policies to cut customer‐specific deals. It discusses how and why it is possible to change this behavior using sales incentives that reward profitable sales rather than just sales volume.

Research has shown that when the original and the sale prices were displayed in a horizontal direction, with the sale price to the right (“Original price of $349.99/Sale price $239.99”), consumers are more likely to initiate a subtraction task to calculate the amount of the discount; and this subtraction effect would lead to better consumer value perception than if the sale price was to the left. However, fewer scholars have questioned whether the subtraction effect would still operate if the reference-price ads line up in a vertical direction? The aim of this research is to understand how different formations of reference-price ads may affect consumers' price perception and buying intention. Interestingly, positive effects on buying intention and value perceptions disappeared when buyers were shown a dollars-saved cue, rather than the lineup of original and sale prices.

Three experiments were conducted to test the hypotheses.

The results of the experiments demonstrate that when the sale price is displayed above the original price, consumers' price perception and buying intention are higher than what is placed below it.

When written horizontally, Mandarin and Japanese language text are almost always written left-to-right, with multiple rows progressing downward, as in standard English text. Notably, the right-to-left written form for Mandarin and Japanese language only happens by writing in a vertically and multiple-columned context. In particular, the format of reference-price ads in our research is considered to be a generally single column text only. Therefore, its writing system has almost no difference from the English one. However, our hypothesis does not apply to the Arabic world due to the right-to-left nature of the Arabic writing system.

Our results may inform consumers whether their cognition, which influences them not to make irrational decisions, is in turn influenced by sale price display location. Consumers should be reminded that next time they see the smaller number (sale price) they should not be too excited and forget to properly consider the original price. They should think more and consider the distance to the shop or the quality of the product before buying anything. If a product is sold in two different shops and the farther one displays the sale price above the original price but the nearer one displays the sale price below the original price, prolonging the decision time enables consumers to decrease their buying costs, such as the cost of fuel.

This is one of the first studies to discuss the influence of the price location in a vertical direction on price perception and buying intention.

The study develops a mathematical model of the firm to derive theoretical foundations for the balanced scorecard concept (BSC). The model is based on several parts which are integrated into a company model. This model includes the demand function, the production function and the objective function of the firm which are depicted by traditional microeconomic concepts. Demand is presented as a function of price and customer relationship management (CRM) costs. Production is assumed to depend on labor, capital, and development and learning (D&L) costs. Simple dynamics is included both in the demand and production function. The strategy of the firm is depicted by the objective function based on profit and net sales. The output variables of the model are classified as the four perspectives of BSC. The effects of the objectives (strategies) on the importance (shadow prices) of the constraints are analysed. It is shown that a change in the objectives may alter the order of their importance. Thus, a change in the strategy should be accompanied with a change in the focus of BSC. Furthermore, non‐financial and financial performance ratios may change in opposite directions, when the strategy is shifted towards revenue maximization. Thus, inconsistencies with the interpretation of cause and effects may emerge, when the strategy is shifted. Numerical examples are presented to demonstrate the results.

In this paper, we examine dynamic relationships among three housing market variables and a stock market index in a multivariate vector autoregressive error correction (VAREC) model. It is first found that, in the USA, sales and the median sales price of the existing single‐family homes and the 30‐year mortgage rate have unit roots, while the New York Stock Exchange (NYSE) value‐weighted portfolio returns appear random. Moreover, it is found that not only are three real estate variables cointegrated with one another but that they are also cointegrated with the stock index returns. After controlling for the unit root problem and cointegration, a multivariate VAREC model is further developed to examine dynamic relationships among the four variables using Johansen’s approach. It is found that the price, mortgage rate, and stock returns affect sales. It is found that the mortgage rate and stock returns affect the price. The 30‐year mortgage rate is affected by sales and the stock returns. Except for the mortgage rate which is negatively correlated with the stock returns, significant evidence is not found that sales and the median sales price affect the stock returns directly.

This paper attempts to analyze the relationship between the complementarity degrees of imperfect complementary products and sales strategies and give appropriate sales strategies for a two-stage supply chain.

With respect to two-stage supply chain consisting of two manufacturers who produce imperfect complementary products and one retailer who sells the products, aiming at bundling sales strategy, the authors define complementarity elasticity of products and use it to measure the degree of complementary between two products. Based on Stackelberg game and cooperation, the authors analyze the relationship between the complementarity degrees of imperfect complementary products and appropriate sales strategies.

As the impact of complementarity degree on sales strategy decision-making is better, the authors can pinpoint out which sales decision-making is optimal and which bundling sales strategy is the best for a two-stage supply chain. Considering that the degree of complementarity has a significant impact on the product sales strategy, the authors can point out which sales decision-making is optimal, that is, which bundled sales strategy is the optimal in the secondary supply chain of selling complementary products.

An innovative bundling can expand the sales of existing products and new products. It helps a retailer transcend and defeat competitors by reducing marketing expenses while increasing profits. Proper use of bundling can improve consumers utility and create an overall positive effect for both the enterprises and consumer.

The research can help some retailers to make many appropriate bundling sales strategies.

The purpose of this paper is to examine the widespread of property sellers choosing to sell by themselves or through an estate agent, what characterises them and the reason for their choice. In addition the paper contains comparisons of the gap between sales price and asking price between the sales methods and satisfaction with the sales process. This study is the first study of these phenomena carried out in Norway.

The data used for this study was obtained from a national survey including 1,649 house sellers. A logistic regression analysis is used to analyse the impact of household’s characteristics on the sales method.

The main findings of this study are that 83 per cent of the house sellers used an estate agent through the whole sales process and differences in the choices are related to urbanisation, age and education. The most important reason for preferring a real estate broker is that doing the sale on your own is considered too much work. Conversely, the most important reason for doing the sale on your own is that estate agents are too expensive. Those selling without an estate agent were more satisfied and the gap between sales price and asking price was smaller than for those selling through a real estate broker.

Issues concerning competition within the market for estate agents should be central topics for property management. Property sellers selling their property by themselves are an important contribution to increase the competition in the market for estate agents. This issue has not been on the agenda in Norway, or in Europe, in the same way as in the USA. This is probably due to the complexity in the legislation and strict laws within property sales in Central and Southern Europe. However, in Norway, UK and in the Nordic countries, the legal system is not complicated. It is rather the lockout of private individuals from the housing web sites and the fact that the property sellers are not familiar with this kind of transaction that has prevented property sellers to sell their house by themselves. Today Norway is one of few countries with a booming housing market, which also has increased the commission for estate agents. From 2010 private individuals got access to advertise their house on the housing web sites in Norway. These have influenced the focus on alternative sales methods.