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This paper explores how consumers perceive retailer ethics. Based on a review of the marketing and consumer research literature, we conceptualize consumer perceptions of the ethics of retailers (CPER) as a multidimensional construct and propose that its effects on consumer purchase behavior and word-of-mouth communication are more salient when consumers have strong rather than weak ethical beliefs. The model was validated using a random sample of 399 respondents in a collectivist society. The results of structural equation modeling confirmed that CPER is a second-order construct comprising product fairness, price fairness, non-deception, fair trade, and green products. CPER positively predicted consumer purchase behavior and word-of-mouth communication. Moreover, ethical beliefs moderated the positive relationship between CPER and the word-of-mouth communication of consumers with strong ethical beliefs but did not moderate the relationship between CPER and purchase behavior. The implications of the findings are discussed.

We study the problem of information sharing in a supply chain with two competing manufacturers selling substitutable products through a common retailer. Our analysis shows that the retailer's incentive to share information strongly depends on nonlinear production cost, competition intensity, and whether the retailer can offer a contract to charge a payment for the information. Without information contracting, the retailer has an incentive to share information for free when production economy is large but has no incentive to do so when there is production diseconomy. With information contracting, the retailer has an incentive to share information when either production diseconomy/economy is large or competition is intense. We characterize the conditions under which the retailer shares information with none, one, or both of the manufacturers. We also show that the retailer prefers to sell information sequentially rather than concurrently to the manufacturers, whereas the manufacturers' preferences are reversed.

Many retailers have recently started to offer customers the option to buy online and pick up in store (BOPS). We study the impact of the BOPS initiative on store operations. We build a stylized model where a retailer operates both online and offline channels. Customers strategically make channel choices. The BOPS option affects customer choice in two ways: by providing real-time information about inventory availability and by reducing the hassle cost of shopping. We obtain three findings. First, not all products are well suited for in-store pickup; specifically, it may not be profitable to implement BOPS on products that sell well in stores. Second, BOPS enables retailers to reach new customers, but for existing customers, the shift from online fulfillment to store fulfillment may decrease profit margins when the latter is less cost effective. Finally, in a decentralized retail system where store and online channels are managed separately, BOPS revenue can be shared across channels to alleviate incentive conflicts; it is rarely efficient to allocate all the revenue to a single channel. This paper was accepted by Vishal Gaur, operations management .

Retailer equity is becoming a very important factor in determining discriminatory competitive advantage under rapidly changing conditions of distribution. This study conceptualizes various retailer equity aspects considered in the retail industry and proposes a measurement scale for retailer equity based on empirical research. Our study aims to reveal how retailer equity sub-dimensions influence customer perception and evaluation of retailers. The primary objective of this research was to develop a measurement scale to facilitate assessments of consumer-based retailer equity. Resulting theoretical and managerial implications of this study are also discussed in detail.

In recent years, online retailers (also called e-tailers) have started allowing manufacturers direct access to their customers while charging a fee for providing this access, a format commonly referred to as agency selling. In this paper, we use a stylized theoretical model to answer a key question that e-tailers are facing: When should they use an agency selling format instead of using the more conventional reselling format? We find that agency selling is more efficient than reselling and leads to lower retail prices; however, the e-tailers end up giving control over retail prices to the manufacturer. Therefore, the reaction by the manufacturer, who makes electronic channel pricing decisions based on their impact on demand in the traditional channel (brick-and-mortar retailing), is an important factor for e-tailers to consider. We find that when sales in the electronic channel lead to a negative effect on demand in the traditional channel, e-tailers prefer agency selling, whereas when sales in the electronic channel lead to substantial stimulation of demand in the traditional channel, e-tailers prefer reselling. This preference is mediated by competition between e-tailers—as competition between them increases, e-tailers prefer to use agency selling. We also find that when e-tailers benefit from positive externalities from the sales of the focal product (such as additional profits from sales of associated products), retail prices may be lower under reselling than under agency selling, and the e-tailers prefer reselling under some conditions for which they would prefer agency selling without the positive externalities. This paper was accepted by Chris Forman, information systems.

[Display omitted] •Emerging market retailers need to achieve customer-centric performance metrics.•Insights from relevant analytics are required to attain these performance metrics.•Strategy matrix identifies relevant analytics to achieve these performance metrics.•Firm-specific and macro-level conditions influence retailers’ analytics adoption.•The analytics adoption journey varies across emerging market retail formats. In an environment with digital disruptions, retailers must adopt a customer-centric approach to survive and compete effectively. Retailers need to be agile and forward-looking in adopting the relevant analytics and performance metrics to bring a customer-centric approach across upstream and downstream activities in the retail value chain. However, retailers in emerging markets (EMs) need clarity on the specific analytics and performance metrics in the value chain that will enable them to transition from their current product-centric state to the desired customer-centric state. Employing a triangulation approach (i.e., literature review, marketplace evidence, and managerial interviews) in the fragmented retail landscape of EMs, this study provides an organizing framework that explains: (i) the need for a customer-centric approach across the retail value chain, (ii) the specific performance metrics that need to be adopted across upstream and downstream activities in the retail value chain to enable EM retailers to achieve their desired customer-centric state, and (iii) the role of analytics in providing insights to achieve these performance metrics and improving monetary and non-monetary firm performance outcomes. We also provide firm-specific and macro-level conditions that can influence the EM retailers’ adoption of relevant analytics and explain the different paths retail formats can follow to adopt analytics. We present a strategy matrix that enables retail managers to identify the appropriate analytics to be adopted at different retail value chain stages to achieve desired performance metrics. We also highlight future research opportunities in retailing in EMs.

As an integrated part of a supply contract, trade credit has intrinsic connections with supply chain coordination and inventory management. Using a model that explicitly captures the interaction of firms’ operations decisions, financial constraints, and multiple financing channels (bank loans and trade credit), this paper attempts to better understand the risk-sharing role of trade credit—that is, how trade credit enhances supply chain efficiency by allowing the retailer to partially share the demand risk with the supplier. Within this role, in equilibrium, trade credit is an indispensable external source for inventory financing, even when the supplier is at a disadvantageous position in managing default relative to a bank. Specifically, the equilibrium trade credit contract is net terms when the retailer’s financial status is relatively strong. Accordingly, trade credit is the only external source that the retailer uses to finance inventory. By contrast, if the retailer’s cash level is low, the supplier offers two-part terms, inducing the retailer to finance inventory with a portfolio of trade credit and bank loans. Further, a deeper early-payment discount is offered when the supplier is relatively less efficient in recovering defaulted trade credit, or the retailer has stronger market power. Trade credit allows the supplier to take advantage of the retailer’s financial weakness, yet it may also benefit both parties when the retailer’s cash is reasonably high. Finally, using a sample of firm-level data on retailers, we empirically observe the inventory financing pattern that is consistent with what our model predicts. This paper was accepted by Vishal Gaur, operations management.

We study the pricing and return policy decisions of an omnichannel retailer serving customers who differ in how they realize their uncertain valuation for a product—by inspecting in store before purchase or by purchasing online and possibly returning misfit products. Customers may return misfit products either to stores for a full refund or online as per the firm’s return policy. We model prices to be identical across channels, allow crosschannel returns, and endogenize customers’ purchase and return decisions, capturing typical features of an omnichannel setting. Our analysis helps explain why some omnichannel firms choose full refunds, whereas others charge a fee for online returns. We find that omnichannel firms with good salvage partners for online returns (e.g., Nordstrom) as well as those with more store-based customers (e.g., Macy’s) should offer full refunds. Similarly, firms are incentivized to offer full refunds for products that customers are more likely to inspect in store (e.g., Express for footwear). In contrast, firms with a significant store network and better in-store salvage opportunities (e.g., J.C. Penney) might be better off charging a fee for online returns in order to nudge customers to return in store. Finally, an omnichannel firm should be cautious both in making the return process more convenient and in improving accessibility to its stores, because these seemingly beneficial policies, if combined with a partial-refund policy, could undermine the firm’s overall profit. This paper was accepted by Vishal Gaur, operations management .

Background Fish is a possible source of foodborne infections with Salmonella and Escherichia coli. This study was conducted to identify Salmonella and E. coli along the fish value chain in Bahir Dar City, Ethiopia. Methods A cross‐sectional study was undertaken with purposive sampling. A total of 121 specimens comprising fresh fish, retailing fish, filleted and cooked fish, swabs, and water samples were collected. Both culture based and molecular methods were used for detection. Results E. coli isolated from 41 (33.88%) and Salmonella from 6 (4.96%) specimen. The highest E. coli isolation rate was from retailing fish 16 (80%), whereas the highest Salmonella isolation rate from filleted tissue 2 (20%). At restaurants, 12 (30%) samples were positive for E. coli and 3 (7.50%) for Salmonella. All 41 E. coli isolates were resistant to amoxicillin/clavulanate, whereas no resistance was shown for gentamicin and amikacin. Two thirds of Salmonella isolate and 95.12% of E. coli were detected as they develop multidrug resistance. The highest rate of resistance was recorded for ceftazidime against all (n = 6) isolates of Salmonella species. From a total of 10 E. coli isolates tested by PCR, 4 were positive for hemolysin A1 and/or eae virulence genes. Conclusions The study detects the potential biological hazards along the value chain. Hygiene of fish handlers and their working environment and proper fish cooking are highly valuable. One health campaign should be carried out on drug resistance, contamination of the lake, and fish safety. A cross‐sectional study was undertaken to identify Salmonella and Escherichia coli along the stages of the fish value chain. There was a serious hygienic issue from the producer to the consumer level, with a special concern at the site of retailer.