A Simulation Model Of Multi‐Echelon Retail Inventory With Cross‐Channel Product Returns

This study explores the relationship between a retailer's product returns processing structure and Multi‐Echelon inventory system performance under cross‐channel and same‐channel product returns policies with nonstationary demand. Our research contributes to the growing body of reverse logistics literature, offering insight into how a retailer's logistical returns management strategy can impact inventory effectiveness in cross‐channel retail environments. Adopting a contingency framework, we develop research hypotheses which we test through experimentation on a Multi‐Echelon retail inventory system within a discrete‐event simulation. Model parameters are derived from data collected from a large U.S. retailer of consumer durable and nondurable goods. We find an amplifying effect of a cross‐channel returns policy on the positive relationship between a decentralized returns processing structure and inventory effectiveness. Further, through our analysis of nonstationarity in demand and resulting returns, we uncover strong main and interaction effects that seasonal demand variation can have on inventory outcomes, even under only moderate levels of seasonality. Our results highlight the need for firms to align logistical structures for returns processing with the returns policy and the external environment, while also lending credence to calls within the logistics literature for improved modeling of nonstationary demand in inventory management research.     

Timing of the Effects: A Dynamic Analysis of Pack‐Size Variety,Demand, and Cost

As an importation logistics factor, pack‐size variety (the number of different pack sizes, such as packs of 6 units and 12 units of products) is involved in a dynamic system. This system includes the forward impacts of the present pack‐size variety on the present demand and the present cost, as well as the reverse influences of past demand and past cost on present pack‐size variety decisions. Any static analysis of a segment of this system misses an important factor of these effects: the timing. In this study, I unveil the timing of these dynamic relationships among pack‐size variety, demand, and cost. The findings suggest that the effect of past demand on present pack‐size variety follows a short‐delayed and long‐lasting pattern, while the effect of past cost on present pack‐size variety follows a long‐delayed and short‐lasting pattern. These findings offer important implications for pack‐size variety decisions in industrial practices.     

PRODUCT FULFILLMENT IN SUPPLY CHAINS SUPPORTING INTERNET‐RETAILING OPERATIONS

Customer service, based on economical logistics operations across the supply chain, is key to the realization of sustainable levels of profitability in Internet retailing. Concentrating on inventory and product‐release operations, an empirical simulation model suggests that inventory centralization and market demand growth positively affect the level of cost‐effective service received by online shoppers. The results also show that under increasing demand levels, Internet retailers can provide optimal service to consumers by fulfilling orders through inventories located at their own facilities and avoid relying on inventories held elsewhere in the supply chain.     

Retailers’ Price Positioning and the Motivational Profiling of Store‐Brand Shoppers: The Case of Spain

In recent years, retailers have worked to advance store‐brand strategies, leading to greater success and higher congruence with the retailer's positioning. In this new competitive context, this research aims to characterize store‐brand shoppers in terms of motivation and benefits sought, as well as analyze, on the basis of congruence theory, the moderating role of a retailer's price positioning on store‐brand shopper characterizations. The empirical study combines survey and household panel information related to leading retailers in Spain; the findings reveal that store‐brand shoppers are motivated by their price sensitivity, whereas they are less sensitive to service quality and name brands. However, the retailer's price positioning exerts a moderating effect on shopper profiles: In less price‐oriented retail chains, store‐brand purchases seem motivated less by price and more by quality, brand awareness, and brand reputation.     

Cooperative game analysis of coordination mechanisms under fairness concerns of a green retailer

This study discusses how a green retailer's fairness concerns affect product greenness and profit and explores how to distribute surplus profits under the fairness concerns using cooperative game theory. Research findings indicate that cooperation contributes to increasing channel profits and improving product greenness, but the fairness concerns are detrimental to them. The three proposed coordination mechanisms (SVM, NSM, and TVM) are feasible to ensure coalition stability, but their beneficiaries differ. NSM benefits a manufacturer, while SVM benefits retailers. Additionally, the green retailer's fairness concerns serve as distribution tools to narrow profit gaps between the manufacturer and the green retailer.     

Interplays between manufacturer advertising and retailer store brand introduction: Agency vs. wholesale contracts

In retail supply chains, manufacturers' advertising for national brands and retailers' store brand introduction may relate to each other, and two types of contracts, i.e., agency contract and wholesale contract, are widely used. This paper uses game-theoretic models to investigate the strategic interaction between a manufacturer's advertising strategy and a retailer's store brand introduction strategy. We derive the equilibrium outcomes, including wholesale price, retail price, market demand, retailer's and manufacturer's profits under different contract forms. We find that when the product cost is small relative to the perceived value of the store brand, the introduction of a store brand will benefit the retailer. The retailer is more likely to introduce store brands under the wholesale contract than under the agency contract. In addition, compared with the wholesale contract, the agency contract may increase both the manufacturer's and the retailer's profits and lead to Pareto improvement for them.     

Digital coupon promotion and platform selection in the presence of delivery effort

In recent years, physical retailers have started selling products to consumers through either third-party or self-operated online platforms. Doing so, they face demand which depends on digital coupon promotions, delivery effort by the platform (i.e., deliver products from retailers to consumers), and channel preference. In this paper, we develop a game-theoretic model to examine the interactions between the physical retailer's distribution channel choices and coupon promotions. In normal operation, retailers prefer to pay lower fees to the third-party platform, but we find, counterintuitively, that when carrying on a digital coupon promotion, the retailer can be better off paying a higher participation fee to the third-party platform. We also identify the conditions under which the retailer prefers the third-party platform over the self-operated platform with and without coupon promotions. Furthermore, we show that digital coupon promotions and delivery effort boost the retailer's profits by price discriminating among consumers with differing purchase utilities.     

The Retailer's Perspective on the Link Between Logistical Resources and Perceived Customer Loyalty to Manufacturer Brands

The objective of this study was to investigate the relationships between logistics and brand‐related resources, and assess their impact on the retailer's perceptions of customer loyalty to manufacturer brands. On the basis of theoretical underpinnings of the resource‐based view, this study explores the relationships among four main variables: (1) variety of collaborative logistics technologies shared between retailers and manufacturers, (2) manufacturer's logistics operations quality provided to retailers, (3) retailer's brand differentiation orientation, and (4) retailer's perceptions of customers loyalty to manufacturer brands. An online survey was conducted on 313 senior marketing and supply chain managers from retailer firms. The results of the structural equation analysis support a mediated relationship between logistical resources and perceived loyalty to manufacturer brands. The retailers believe that shared logistics technologies enable manufacturers and retailers to offer higher levels of availability and visibility of preferred brands to their end‐user customers. In turn, the end‐users become more confident with their decisions to repurchase the same brand offerings.     

CATALOG RETAILER IN‐STOCK PERFORMANCE: AN ASSESSMENT OF CUSTOMER SERVICE LEVELS

The purpose of this article is to study the level of “in‐stock” customer service performance being offered in the catalog channel of distribution. The article provides benchmark information for the catalog industry. More importantly, the article serves as one test of the effectiveness of the modern supply chain, where the expectation is for near perfect orders. Customer service levels are studied by using an empirical observation methodology in which catalog retailer's in‐stock performance was measured. Comparisons are made across item type, season, retailer type, and days from catalog receipt. Overall, items were out‐of‐stock during 15.9% of all checkpoints, compared to an 11.8% stock‐out rate in an earlier study of bricks and mortar retailers.     

Acquiring customers through online marketplaces? The effect of marketplace sales on sales in a retailer's own channels

Online retailers are increasingly using third-party online marketplaces (e.g., Amazon, Taobao) as an alternative sales channel to their website. While cross-channel sales elasticities have been established for many sales channel combinations (e.g., adding bricks to clicks), we lack an understanding of whether the use of third-party marketplaces grows or cannibalizes a retailer's sales. Practitioners argue that firms can build their e-commerce business through acquiring customers by selling on the marketplace. Indeed, a marketplace could complement a retailer's offering (e.g., acquiring new customer segments), although inventory effects might mitigate this complementarity. Alternatively, cannibalization might occur from losing customers from one's website to the online marketplace. The present research investigates which of the two opposing forces prevails using a time series of category sales data from one of the largest global marketplace sellers. The authors use vector autoregressive modeling to show that marketplace sales increase sales on a retailer's website (0.014% for every 1% in marketplace sales). This effect is strongest for categories with large choice and low product prices. Acquiring customers through the marketplace might be cheaper than through other sources (estimated at 24% of initial sales). However, online retailers should be aware that this strategy strengthens the marketplace and may have potential negative long-term consequences (e.g., through marketplace control of the customer relationship).     

An empirical analysis of demand variations and markdown policies for fashion retailers

In this paper, using data from a leading specialty apparel retailer, we empirically examine the determinants of a retailer's dynamic pricing policy and investigate consumer response to price changes (markdowns) throughout a fashion product's selling season using a product diffusion setting. In order to do that, we first develop and estimate a markdown pricing model and a consumer demand model that capture the important characteristics of the fashion apparel market. Next, we use the estimates from these two models to design and simulate four alternative markdown pricing policies to investigate the impact of these different policies on consumer demand and retailer revenues. Our results, in line with the previous literature, show that markdowns implemented early in the season but small in magnitude generate the highest retailer revenues. Our paper not only provides a comprehensive empirical framework for fashion apparel retailers that is easy to implement, but also shows that using this framework will lead to timely decision making and will improve sale and revenue outcomes in the fast paced fashion world.     

Attribution Effects of Time Pressure in Retail Supply Chain Relationships: Moving From “What” to “Why”

Retail supply chains must be responsive to consumer demand and flexible in adapting to changing consumer preferences. As a result, suppliers are often expected to deal with time pressure demands from retailers. While previous research demonstrates that time pressure can have longer term relational costs that reduce collaborative behaviors and overall relationship quality, this mixed‐methods study goes further by accounting for attribution effects to explain why the time pressure occurs. Specifically, supplier perceptions for the reason of time pressure being within or beyond a retailer's control, rather than time pressure itself, appear to have a stronger effect on relational outcomes. By investigating time pressure through the lens of attribution theory, this research opens a new inquiry of research that moves away from examination of outcomes themselves (the “what”), to examining “why” the outcome occurred.     

Integrated planning for product selection,shelf-space allocation,and replenishment decision with elasticity and positioning effects

As the retail industry is growing larger and more diversified, retailers' decisions about product selection, shelf-space-allocation, and replenishment become more important and challenging. This paper is to present a model for shelf-space allocation with product selection and replenishment decisions to maximize the retailer's profit. The model is based on a two-dimensional display space in which all shelves and products have widths and heights and includes factors that influence demand for each product, such as space and cross-space elasticities and positioning effects. The integrated model presented is mixed-integer non-linear programming (MINLP) because the demand function is non-convex. This research proposes two heuristic algorithms (tabu search and genetic) to solve the MINLP problem. The results show the effectiveness and efficiency of these algorithms by comparing the outputs to the MINLP optimal solution for small data sets and comparing the algorithm performances for large data sets. The solution methodologies expect to support a simultaneous decision-making process for retailers to maximize their revenue.     

Assessing the Dimensions of Product Variety on Performance: The Value of Product Line and Pack Size

This article studies the impacts of product variety along two dimensions: product‐line variety and pack‐size variety. Previous research has often found that increased product variety is associated with increased sales. Interestingly, we find that this is not always the case, once the negative impact of product variety on fill rates is introduced. Specifically, product‐line variety has a positive total effect on sales, but pack‐size variety has a negative total effect on sales. We also investigate potential nonlinear impacts (with decreasing marginal effects) of product‐line and pack‐size variety, and find the result to be one of diminishing returns.     

Optimal Returns Policy under Demand Uncertainty

Multiple categories of retail products suffer limited shelf life, demand uncertainty, and, in some cases, long lead times. To provide retailers with an incentive to increase the stocking quantity of such products, manufacturers may offer an option to return unsold items at wholesale or less than wholesale prices. This article extends the additive price-dependent demand model in three ways. First, partial returns are optimal for the manufacturer but do not induce higher stocking quantities compared with when the manufacturer offers no returns. Second, in terms of the effect of investment in demand-enhancing activities, when retailers invest, they set higher resale prices, but an optimal partial returns policy still does not induce higher stocking quantity, whereas when manufacturers invest, the optimal returns policy induces higher stocking quantity. Third, when the manufacturer and retailer have different expectations of demand uncertainty, the retailer's estimate influences the expected profits for both, whereas the manufacturer's estimate has a major impact on its profits only.     

Just‐in‐Time Retail Distribution: A Systems Perspective on Cross‐Docking

Cross‐docking is a just‐in‐time strategy for distribution logistics. It is aimed at reducing inventory levels and distribution lead times by creating a seamless flow of products from suppliers to customers. Prior supply chain literature has argued that creating such a seamless product flows requires a holistic view on cross‐docking management, aimed at synchronizing cross‐docking operations at the distribution center with its inbound and outbound network logistics. This paper provides an in‐depth case study illustrating how cross‐docking operations can be managed more holistically in a retail distribution context. A discrete event simulation model has been developed to understand and improve the cross‐docking operations of a large grocery retailer in the Netherlands. The model is used to quantitatively evaluate two proposed changes that exploit opportunities in the design and control of the retailer's distribution network. An extensive real‐world data set is used as input to the model. Overall, the case and simulation results show that a holistic cross‐docking management approach can indeed improve system‐wide performance, which further stresses the importance of making cross‐dock operational decisions making and network decisions together.     

The retailer's brand promotion strategy under competition: The impact of supply uncertainty

While retailers are committed to promoting product brands to increase sales quantity and brand visibility, retailers are exposed to supply uncertainty. Therefore, we explore the brand promotion strategies of retailers in a competitive model. We then investigate the decision model under three different brand strategies and explore the equilibrium outcomes of stakeholders under supply uncertainty. In addition, we analyze and discuss social welfare under different scenarios. The results show that when the promotion cost is high (i.e., the cost effect dominates the market expansion effect), neither retailer promotes the product brand. When the promotion cost is low (i.e., the market expansion effect dominates the cost effect), both retailers tend to promote the product brands. When the promotion cost and market expansion match each other, only one retailer promotes the product brand becomes the equilibrium strategy. It is worth noting that when both retailers promote the product brand, the retailer falls into a prisoner's dilemma. In addition, we find that the supply uncertainty level diminishes the cost affordability and the motivation of retailers to promote the product brands. Interestingly, the supply uncertainty level reduces the possibility of retailers being in a prisoner's dilemma. Besides, market expansion (supply uncertainty) contributes to improving (diminishing) social welfare.     

RISK METRICS AND FINE TUNING OF HIGH‐FREQUENCY TRADING STRATEGIES

We propose risk metrics to assess the performance of high‐frequency (HF) trading strategies that seek to maximize profits from making the realized spread where the holding period is extremely short (fractions of a second, seconds, or at most minutes). The HF trader maximizes expected terminal wealth and is constrained by both capital and the amount of inventory that she can hold at any time. The risk metrics enable the HF trader to fine tune her strategies by trading off different metrics of inventory risk, which also proxy for capital risk, against expected profits. The dynamics of the midprice of the asset are driven by information flows which are impounded in the midprice by market participants who update their quotes in the limit order book. Furthermore, the midprice also exhibits stochastic jumps as a consequence of the arrival of market orders that have an impact on prices which can give rise to market momentum (expected prices to trend up or down). The HF trader's optimal strategy incorporates a buffer to cover adverse selection costs and manages inventories to maximize the expected gains from market momentum.     

Interfirm strategic integration in retailer buying groups: antecedents and consequences on the retailer's economic satisfaction

Abstract

Independent small retailers have shown a growing trend toward joining buying groups as a means to compete against large distribution chains. The retailer's strategic integration of the relationship with the buying group (RSI), i.e., the retailer's recognition of this relationship as a strategic asset, is the focal theoretical construct of this study. With a sample of retailers of home appliances that are integrated in a buying group, the empirical test of two alternative models about the antecedents and consequences of RSI has confirmed that the concept plays an important and significant mediational role in explaining the effects of environment and relational characteristics on the retailer's satisfaction with the buying group. The author discusses the theoretical implications of the results obtained and explores consequences for decision makers.