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.     

When the going gets tough,do the tough go shopping?

This study examines the impacts of consumer confidence on stockpiling behavior and, subsequently, retail inventory management. We show how stockpiling behavior evolved during the “Great Recession” of 2008–2009 as consumer confidence waned and demonstrate the impact of this development on inventory management. Drawing on the two-segment household inventory theory consisting of nonstockpiling and stockpiling segments, we use a panel dataset (2005–2015) to calibrate household inventory holdings. This dataset then serves as input for a retailer-level case study. Our empirical analysis reveals significant impacts from changing stockpiling behavior. When consumer confidence is low, both stockpiling and nonstockpiling segments respond by reducing weekly consumption rates; however, the stockpiling segment also significantly lengthens the time between shopping trips, and ultimately increases the duration of inventory holdings. These changes to consumption and stockpiling add complexity to inventory planning, requiring retailers to carefully adjust inventory levels to maintain service levels.     

Looking at Gen Y shopping preferences and intentions: exploring the role of experience and apparel involvement

Apparel retailers need more information to reach and increase patronage from Generation Y with $150 billion purchasing power. Experiential retailing, involving one or more of the five senses, helps create utilitarian and hedonic benefits for brick‐and‐mortar apparel shoppers. However, little is known about how Generation Y responds to experiential strategies. This study of Generation Y brick‐and‐mortar apparel shoppers, using a cohort approach, seeks to determine which dimensions of a shopping experience, as well as shopping involvement level and demographics, are associated with store preference and patronage intent.     

The strategic drivers of drop-shipping and retail store sales for seasonal products

Retailers that sell seasonal products face significant challenges when planning inventory assortment. The incorporation of drop-shipping into their operations, wherein suppliers own and ship products directly to consumers at retailers’ requests, has only complicated these challenges. This study investigates multichannel assortment planning of retailers that sell seasonal products. We first capture structural properties of multichannel retailing of seasonal products through a simple and parsimonious analytical model. The analytical model uncovers key seasonal product attributes that make it more attractive for retailers to allocate a product for sale in the drop-shipping channel than in the store channel. We then empirically assess the findings of the analytical model. Using a rich and unique dataset from the fashion retail industry, we test relationships between product attributes and retailers’ channel choice. The application of a generalized linear latent and mixed model controls for selection bias by jointly estimating retailers’ likelihood of allocating a product’s inventory to the drop-shipping channel and the allocated volume in each channel according to the product’s characteristics. The empirical findings suggest that retailers are less likely to drop-ship products that are colored, irregularly sized, and offered in more style variants. They also unveil cross-channel effects in terms of inventory amounts allocated for sale in each channel according to those characteristics. Our analytical and empirical assessments jointly demonstrate the complementary roles played by drop-shipping and store channels for seasonal products and offer important academic and practical implications.     

CONSUMER DIRECT FULFILLMENT PERFORMANCE IN INTERNET RETAILING: EMERGENCY TRANSSHIPMENTS AND DEMAND DISPERSION

The collaborative fulfillment of consumer orders by Internet retailers and wholesalers has proven important in the realization of sustainable levels of online profitability. Concentrating on consumer direct fulfillment (or drop shipping), an empirical simulation model evaluates avenues for improving logistical performance. The empirical simulation model centers on the online music CD retailing industry. It evaluates the effects of emergency transshipments and demand dispersion on inventory and product‐release performance, as well as on transportation costs, in consumer direct fulfillment operations. Results show that emergency transshipments improve inventory and product‐release performance in these operations. Furthermore, the inventory‐performance improvements are maximized when inventory facilities fulfill demand that is uniformly balanced across markets primarily assigned to each facility. Finally, gains in inventory and release performance obtained from emergency transshipments outweigh additional transportation costs incurred from a greater reliance on emergency transshipments for consumer direct fulfillment.     

Consistency and Recovery in Retail Supply Chains

Practitioners and researchers describe inventory service level with metrics that communicate the likelihood of demand fulfillment without considering the ongoing capabilities of the supplier, for example, in‐stock and fill rate. We develop a method for measuring inventory service level that incorporates such supplier capabilities, namely consistency (the ability of a supplier to fulfill orders repeatedly) and recovery (the ability of a supplier to fulfill orders after a lapse in service). Using data from two retail supply chains, we illustrate our approach. To demonstrate the impact of consistency and recovery on supply chain performance, we model a retailer purchasing from competing suppliers with different levels of consistency and recovery. The model incorporates the retailer's uncertainty about demand and the retailer's uncertainty about its suppliers' service levels. We characterize how the retailer's orders and profitability change with a supplier's delivery performance through numerical experiments calibrated with field data. We find notable differences in market share across suppliers with similar traditional inventory service level metrics but differences in consistency and recovery. Further, we observe that a retailer can increase its profitability by determining orders via consistency and recovery in lieu of common metrics like in‐stock. Given the influence of consistency and recovery on supply chain outcomes, we discuss implications for practice and future research.     

Crafting Integrated Multichannel Retailing Strategies

Multichannel retailing is the set of activities involved in selling merchandise or services to consumers through more than one channel. Multichannel retailers dominate today's retail landscape. While there are many benefits of operating multiple channels, these retailers also face many challenges. In this article, we discuss the key issues concerning multichannel retailing, including the motivations and constraints of going multichannel, the challenges of crafting multichannel retailing strategies and opportunities for creating synergies across channels, key retail mix decisions facing multichannel retailers, and the dynamics of multichannel retailing. We synthesize current knowledge drawn from the academic literature and industry practice, and discuss potential directions for future research.     

Asymmetric volatility of basis and the theory of storage

The theory of storage states that the marginal convenience yield on inventory falls at a decreasing rate as inventory increases. Previous literature has tested this hypothesis using the so‐called “direct test” approach, which employs a direct measurement of inventory levels, or the “indirect test” approach, which examines the relative variation of spot and futures prices and the relative variation of negative basis to positive basis as alternative proxies for inventory levels. The rationale behind the indirect test is based on the hypothesis that futures prices are less variable than spot prices when inventory is low, and have similar variability when inventory is high. The authors propose a “unified test” of the theory of storage that incorporates aspects of both direct and indirect tests in an ARMAX‐asymmetric GARCH model framework. © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:399–418, 2005     

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.     

Cross channel effects of search engine advertising on brick & mortar retail sales: Meta analysis of large scale field experiments on Google.com

We investigate the cross channel effects of search engine advertising on Google.com on sales in brick and mortar retail stores. Obtaining causal and actionable estimates in this context is challenging: Brick and mortar store sales vary widely on a weekly basis; offline media dominate the marketing budget; search advertising and demand are contemporaneously correlated; and estimates have to be credible to overcome agency issues between the online and offline marketing groups. We report on a meta-analysis of a population of 15 independent field experiments, in which 13 well-known U.S. multi-channel retailers spent over $4 Million in incremental search advertising. In test markets category keywords were maintained in positions 1-3 for 76 product categories with no search advertising on these keywords in the control markets. Outcomes measured include sales in the advertised categories, total store sales and Return on Ad Spending. We estimate the average effect of each outcome for this population of experiments using a Hierarchical Bayesian (HB) model. The estimates from the HB model provide causal evidence that increasing search engine advertising on broad keywords on Google.com had a positive effect on sales in brick and mortar stores for the advertised categories for this population of retailers. There also was a positive effect on total store sales. Hence the increase in sales in the advertised categories was incremental to the retailer net of any sales borrowed from non-advertised categories. The total store sales increase was a meaningful improvement compared to the baseline sales growth rates. The average Return on Ad Spend (ROAS) is positive, but does not breakeven on average although several retailers achieved or exceeded break-even based only on brick and mortar sales. We examine the robustness of our findings to alternative assumptions about the data specific to this set of experiments. Our estimates suggest online and offline are linked markets, that media planners should account for the offline effects in the planning and execution of search advertising campaigns, and that these effects should be adjusted by category and retailer. Extensive replication and a unique research protocol ensure that our results are general and credible.     

INTERNET RETAILING INTERMEDIATION: A MULTILEVEL ANALYSIS OF INVENTORY LIQUIDITY AND FULFILLMENT GUARANTEES

Internet retailers intermediate online markets by setting prices, matching wholesalers' supply with consumers' demand, affording inventory liquidity, and meeting fulfillment guarantees to consumers. Little attention has been given to studying the two latter intermediation functions. To fill this research gap, this study examined a sample of 25 mainstream online retailers in some 704 transactions with consumers. The study evaluates the inventory liquidity and the fulfillment guarantees these Internet retailers provide to consumers. Furthermore, it presents a path‐analysis model, which suggests that retailers coordinate their actual and promised inventory‐liquidity and delivery performance to satisfy the fulfillment guarantees made to consumers. Moreover, the results show that key transactional attributes (i.e., the net price and the number of items fulfilled) commonly present in Internet markets and visible to all market participants impact both the levels of inventory liquidity and the delivery performance of the transactions between consumers and Internet retailers.     

A Negotiation Model for Inducing Higher Service in a Distribution Channel

This paper analyzes, in the context of negotiation, the problem of coordination and conflict resolution between the manufacturer (Seller) and the retailers (Buyers) for a two-tier inventory system. The retailers capture demand (from customers) and therefore are responsible for the level of service offered by the system. The larger the inventory that a retailer has of a particular product, the lower the probability of running out of stock and therefore, avoid the possibility of a lost sale for the manufacturer. A conflict arises (and therefore the negotiation process starts) when the manufacturer wants the retailer to increase the level of service while retailers are satisfied with the status quo. Using the Nash bargaining solution, we develop a theoretical framework that incorporates behavioral dimensions and predicts the outcome of “sharing” the profit. The results indicate the advantage of developing long term relationships among the members of the distribution channel to minimize the uncertainty and therefore the source of conflict.     

Improving Order Fulfillment Performance through Integrated Inventory Management in a Multi-Item Finished Goods System

Effective inventory management is fundamental to order fulfillment excellence and supply chain success. In this paper, we develop a strategic inventory management decision tool that integrates inventory classification and inventory control policy decisions for maximizing order fulfillment performance, while accounting for a constraint on inventory budget and the profit expectation of a firm. This inventory solution tool provides critical enhancements to current inventory planning software, which is developed upon the traditional inventory classification scheme and where practitioners have to balance service levels and safety stock decisions through trial-and-error. The model allows firms to assess whether the current inventory performance is Pareto optimal, quantify the trade-offs between various performance measures, and identify the right inventory level according to the firms' strategic goals. In computational results, we demonstrate the trade-off and positive relationships between key item- and order-based inventory performance measures and short-term profitability under different levels of inventory budget in a multi-item finished goods inventory system.     

On the “Invisible Inventory Conundrum” in RFID‐Equipped Supply Chains: A Data Science Approach to Assessing Tag Performance

Recent trade reports suggest that RFID implementation continues to lag lofty projections. A primary concern is that, despite the high cost of implementing RFID systems, realized read‐rates fall short of expectations. This results in the invisible inventory conundrum whereby tagged merchandise may still not be accurately represented in inventory records. Drawing from data science to address this issue, we ask: How can directed data mining models be used to identify laboratory test performance criteria for RFID tags that operate reliably across the idiosyncratic facilities (i.e., unique DCs, warehouses, and stores) that comprise apparel retailers’ supply chains? We investigate this question by advancing a methodology that integrates laboratory test performance data, field tests of RFID tags fixed to apparel items and scanned under normal operating conditions, and the application of five directed data mining models to the integrated data set of laboratory and field test results. Our analyses of 45,416 observations show that two directed data mining models may identify—with near‐100% accuracy—laboratory test criteria that discriminate tags having 99% or greater read‐rates in the field. Accordingly, our study validates a generalizable methodology for identifying technical performance standards for tags that operate reliably within apparel retailers’ supply chains.     

Foreign Direct Investment Spillovers: Evidence from the British Retail Sector

This paper discusses the impact of foreign‐ownership presence on the productivity performance of British‐owned domestic retailers. In particular, we analyse the existence of productivity spillovers, in the form of knowledge transfer, by using establishment‐level data from the Annual Respondents Database over the period 1997–2003. The results confirm the presence of such spillovers and highlight their positive and significant impact on the productivity of domestic firms, although these spillovers are mostly confined to the region in which foreign subsidiaries locate. There is also evidence that the productivity benefit from regional foreign direct investment spillovers increases with the absorptive capacity of domestic retailers.     

Supply Chain Networks With Multiple Retailers: A Test of the Emerging Theory on Inventories,Stockouts, and Bullwhips

While various approaches to mitigating the bullwhip effect have been proposed, the composition of the underlying supply chain is often taken for granted. This article develops a set of simulation models to investigate changes to the supply chain itself and their impact on the bullwhip effect, on‐hand inventory, and stockouts. It is shown that particular supply chain networks have an impact on the bullwhip effect. Furthermore, the impact of supply chain networks on the bullwhip effect is moderated by the demand forecasting technique used. Finally, supply chain networks, forecasting techniques, and their interactions are found to influence on‐hand inventory levels and stockout rates for firms within the supply chain. Results also suggest that no one particular type of supply chain network dominates in terms of dampening the bullwhip effect, lowering on‐hand inventory levels, or reducing stockout rates. The optimal network depends on the forecasting technique used and other supply chain factors.     

Impact of customers' assessment of website attributes on e-relationship in the securities brokerage industry: A multichannel perspective

The paper focuses on the comparison between pure e-retailers and multichannel retailers' customers and how they differ in their evaluations of functional and relational attributes of the website, as well as how these attributes impact online relationships. An online survey among online securities investors was conducted. Subjects were self-selected from blogs and forums dedicated to personal finance. A total of 326 questionnaires formed the final sample of this study. By using a series of univariate analyses of variance, structural equation modeling, and multi-group analysis, this research empirically demonstrates that the e-service quality evaluation and determinants of online relationship are different in multichannel contexts versus pure online ones. Results show that customers of multichannel retailers are not more loyal than those of pure online retailers. However, multichannel retailers exceed pure online retailers at achieving a higher level of online trust and a higher assessment of website features. The paper concludes with managerial implications that may be useful in multichannel retailing.     

Implementation of a System Approach for Enhanced Supply Chain Continuity and Resiliency: A Longitudinal Study

Researchers and practitioners frequently point to inventory as a necessary component of an effective supply chain strategy. However, an undisciplined or ineffective approach to inventory can have a detrimental impact on an organization and its entire supply chain. When making inventory decisions, firms must ensure that the selected approach “fits” the overall supply chain strategy. While such an assertion seems intuitive, there is a need for empirical validation. We seek to contribute to this important body of research by investigating the impact of improved strategic alignment of inventory on resiliency and continuity. More specifically, we investigate the impact of improved strategic fit by comparing two distinct approaches to inventory management within a service parts environment. We hypothesize that a well‐aligned approach to inventory management can enhance continuity and resiliency. We test these hypotheses via a longitudinal field study involving 10 United States Air Force (USAF) locations and two years of data (approximately 650,000 inventory transactions). Results from nine test locations and one control location suggest that a well‐aligned approach to inventory management is indeed effective in improving continuity and resiliency, thus enhancing service‐based strategies—in this case, the USAF's ability to be mission‐capable. While the results of the study are derived from the USAF, we believe the implications provide broader insight into the use of inventory as a means of realizing a strategic fit.     

COVID-19 and retail: The catalyst for e-commerce in Belgium?

Since the turn of the century especially small, local retailers struggle with the advent of e-commerce. It is hence no surprise that the retail sector is one of the hardest-hit sectors in the current pandemic. To understand the short- and longer-term impacts of COVID-19 on retail, we conducted two surveys to understand ongoing changes in the sector. By contrasting changing consumer behavior with the actions taken by local retailers, we assess whether the current pandemic is potentially a catalyst for e-commerce in Belgium. We do this based on a newly constructed framework of e-retail accessibility, as the differences between online and physical retail require a revision of the traditional economic geographical perspective on retail performance as introduced by Christaller (1933). We conclude that the COVID-19 pandemic holds ample opportunities for an increase in the three components of e-retail accessibility, but that a lack of professionalism might prevent traditional local retailers to retain a share of the expanded online market. This could well mean the final blow for local brick and mortar shops if, as is predicted, the share of online shopping in total retail expenditure remains high after the pandemic.     

Using the Pack‐and‐a‐Half Rule to Eliminate Backroom Inventories in Retail Operations

In the retail industry, backroom inventories are typically associated with higher labor costs and greater operational complexity. Thus, retailers look for ways to eliminate backroom inventories. A heuristic used for this purpose is the pack‐and‐a‐half rule which suggests that the shelf space allocated for a product should be at least 50% larger than the case pack quantity in which the product is delivered. Despite its popularity among retailers, the pack‐and‐a‐half rule has been ignored in the academic literature. We introduce the pack‐and‐a‐half rule, assess its impact on a retailer's profits, identify cost, demand, and product characteristics driving this impact, and propose a modification. Based on an analysis of data obtained from a retailer on 1,986 SKUs in 20 categories, we find that the pack‐and‐a‐half rule decreases a retailer's profits, on average, by 10% when applied uniformly across all SKUs. Further, this decrease is significantly affected by product depth, product width, demand elasticity, case pack quantity, and inventory carrying cost. Finally, we develop a set of modifications based on these variables where the pack‐and‐a‐half rule is applied selectively and in a stepwise fashion. These modifications limit the decrease in a retailer's profits to a range between 6% and 7%.