Using System Dynamics to assess the impact of RFID technology on retail operations

The application of item-level radio frequency identification (RFID) technology in retail supply chains creates cost savings and promises large potential benefits from revenue growth. However, the economic assessment of the impact on improved store operations, labor utilization, and increased sales is still not fully explored. We propose to use System Dynamics as a structural modeling and simulation approach to integrate conventional return on investment evaluations. Building on previous research about RFID technology in retail supply chains, we developed a model based on the case exploration of a leading Italian apparel retailer. Simulations show that RFID implementations are profitable whenever they contribute to increase sales, especially when a fashion retailer is focused on clerk-assisted sales strategies. Sales growth results from the dynamic and integrated impacts of RFID technology on better inventory control, faster inventory turnover, and longer time available for store personnel to assist consumers as an effect of more efficient backroom operations.     

ASSESSING THE IMPACT OF RETAILER STORE BRAND PRESENCE ON MANUFACTURER BRANDS IN AN EQUILIBRIUM FRAMEWORK*

This article assesses the impact of retailer store brand products on manufacturer brand prices, profitability and consumer welfare in Boston's white fluid milk market. Estimates from a random coefficients logit demand model are used to specify and test a set of pricing games. Under the selected model, milk manufacturers are Stackelberg leaders to retailers, and store brand milks are procured by retailers at cost. The model is used to investigate counterfactual markets without retailer store brand milks. Counterfactual Simulation results indicate that store brands increase channel profits, retailer profits and consumer welfare, while having mixed effects on equilibrium retail prices.     

Consumer Decision-making at an Internet Shopbot: Brand Still Matters

Internet shopbots compare prices and service levels at competing retailers, creating a laboratory for analysing consumer choice. We analyse 20,268 shopbot consumers who select various books from 33 retailers over 69 days. Although each retailer offers a homogeneous product, we find that brand is an important determinant of consumer choice. The three most heavily branded retailers hold a $1.72 price advantage over more generic retailers in head-to-head price comparisons. In particular, we find that consumers use brand as a proxy for retailer credibility in non-contractible aspects of the product and service bundle, such as shipping reliability.     

Comparison of benefits of radio frequency identification: Implications for business strategic performance in the U.S. and Korean retailers

This study explores a model to compare the benefits of RFID technology on supply chain management by focusing on retail industry. A path model was estimated to examine structural relationships among technological infrastructure, RFID benefits, and business strategic performance in the U.S. (n = 70) and Korean samples (n = 87). Result showed that technological infrastructure was required to more improve inventory management, store operation and demand management, leading to business strategic performance. Especially, data system automation was perceived as a prerequisite for improving inventory management for both countries. Hardware/software application was significantly related to the RFID benefit of inventory management for U.S. retailers, whereas, it was related to the benefits of efficient store operation and demand management for Korean retailers. Business strategic performance was significantly determined by RFID benefit factors (e.g., inventory management and demand management) for U.S. retailers and Korean retailers. The managerial implication for business to business strategic performance in the U.S. and Korean retail industries was discussed from a retailer's perspective.     

Seeking the Ideal Level of Design Newness: Consumer Response to Radical and Incremental Product Design

To develop successful new products, new product development managers need to have a thorough understanding of the consumer adoption process, specifically in how consumers evaluate new products. This research examines the value of product design for consumers' evaluation of radical and incremental innovations. The primary goal was to empirically test how design newness affects consumer response to product innovations. Design newness (also referred to as novelty or atypicality) is defined as the deviation in a product design from the current design state of a certain product category. Although prior research has suggested that higher levels of design newness may have a positive effect on consumers' evaluations of new products, higher levels of design newness may also have negative consequences for consumer response to radical innovations. An experimental context (n = 130) using systematically designed products for three product categories was used to test how consumers respond to high and low levels of design newness for both radical and incremental innovations. The findings show that for radical innovations, embodying the product in a design with a low (versus high) level of design newness led to more positive evaluations and less learning‐cost inferences. Because the functional attributes of a radical innovation are incongruent to existing products, consumers find it difficult to access the relevant product category schema in order to transfer knowledge to the new product. Because of this poor knowledge transfer, consumers may feel that they lack the ability to make effective use of the radical innovation, resulting in greater learning costs. In this case, a product design with a low level of design newness can provide consumers with a frame of reference for understanding the radical innovation. Contrasting this result, no difference was found between a low and a high level of design newness for incremental innovations. For incremental innovations, by definition the functional attributes characteristic to the innovation are highly comparable with those products that are already stored in consumers' memory. Thus, there is no need for an additional reconfirmation of the preexisting schema through product design, and consumers are able to access the relevant schema regardless of the level of design newness inherent in the product. These findings are integrated into a discussion of the managerial implications and the potential avenues for future research.     

Being Innovative While Being Green: An Experimental Inquiry into How Consumers Respond to Eco‐Innovative Product Designs

Eco‐innovations are an effective way for companies to strategically align themselves with customers’ growing environmental concerns. Despite their crucial role, scant research has focused on eco‐innovative product designs. Drawing from the sustainability and innovation literature, this article proposes that in the design of an eco‐innovation, its degree of innovativeness, level of eco‐friendliness, and detachability significantly affect consumers' adoption intentions. This article develops various conceptual models tested through three independent online experiments with U.S. consumers. The findings support the hypotheses and provide useful insights into the underlying mechanisms of how and why consumers respond to eco‐innovative product designs across various high‐tech product categories. Specifically, the results show (1) a positive effect of innovativeness degrees of eco‐innovative attributes on consumers' perceptions of product eco‐friendliness and on their adoption intentions as well as a significant moderating role of consumers' need for cognition (Study 1); (2) a positive influence of eco‐friendliness levels of eco‐innovative attributes on consumer adoption intentions in the case of high‐complexity products but not for low‐complexity products, emphasizing the need to adopt different approaches when developing eco‐innovations to ensure favorable consumer reactions (Study 2); and (3) a significant impact of the detachability of eco‐innovative attributes on consumers' perceptions of trade‐offs between environmental benefits and product functionality and on their intentions to adopt eco‐innovations (Study 3). These findings add to existing theoretical knowledge, provide actionable managerial implications, and identify fruitful avenues for future research.     

Trade promotion mode choice and information sharing in fashion retail supply chains

Trade promotion has a significant impact on the retail business, particularly in the fashion sectors. Manufacturers have traditionally been concerned with the inefficiency of trade promotion due to the low pass-through rate of the trade deals from retailers to customers. The scan-back (SB) trade deal, which monitors a retailer's sales via an IT system, benefits the manufacturer, but may or may not benefit the retailer. We provide insight into when a retailer in a two-stage supply chain has incentive to accept the SB trade deal. We show that (1) the manufacturer and the entire supply chain can always benefit from the SB trade deal while the retailer benefits only under some conditions, and that (2) both the retailer and the manufacturer can benefit from the SB trade deal if the SB deal is accompanied by a buyback (BB) contract. We examine the effect of a retailer's confidential pass-through rate on both the retailer's and the manufacturer's incentives to use the SB trade deal.     

Innovation in business networks: The role of leveraging resources

This study investigates how companies innovate in their business networks. We examine the role of leveraging resources in the context of retail brand paints within the do-it-yourself (DIY) paint industry, where the role of innovation is pertinent to achieve differentiation and create value. The study investigates innovation as a process of leveraging resources within business relationships. Research findings demonstrate that manufacturers and retailers jointly leverage resources to develop and launch innovative retail brands. Companies need to carefully address these resource-leveraging processes and assess their options in developing innovations that enable sustainable growth.     

Multiproduct Firms' Pricing Behaviour in the Italian Grocery Trade

This paper investigates the determinants of price dispersion between different goods in grocery retailing, as the result of pricing decisions of multiproduct retailers. Demand parameters are generated using the LES system. These are then used to test theoretical predictions about the nature of supermarkets' pricing and consumers' shopping behaviour using disaggregated data from the Italian grocery trade. The empirical results concerning the supply function provide evidence for the existence, in all types of retail organisation, of a monopolistic form of price discrimination. The results are consistent with discrimination due to the exploitation of customers' switching costs.     

Dynamic supply chain coordination under consignment and vendor-managed inventory in retailer-centric B2B electronic markets

This study examines the dynamic performance of vertically decentralized two-echelon channel coordination for deteriorating goods under consignment and vendor-managed inventory (VMI) contracts with revenue sharing from retailer-centric business-to-business transactions in both traditional markets and electronic markets (EMs). The research presents the profit-maximization problem and devises a method for making cross-enterprise dynamic joint decisions by combining calculus with dynamic programming for a retailer-led Stackelberg supply chain under cooperative and non-cooperative game settings over a multi-period planning horizon. The applicability of the proposed model is assessed using a case study involving a highly perishable product, sliced raw fish, in a supply chain comprising a regional seafood supplier and a local store belonging to a large national retail chain. The analytical results show that, in a cooperative setting, the EM with a consigned revenue-sharing VMI contract tends to achieve lower retail prices, larger stock quantity, improved channel efficiency, and increases in both retailer and supplier profits through an additional one-part tariff. Additionally, consumers benefit from lower retail prices and society benefits from increased overall channel profits in the cooperative channel and EM.     

The impact of competition and cooperation on the performance of a retail agglomeration and its stores

Stores in retail and other service agglomerations, such as high streets and shopping malls, compete with each other for customers. Yet they may also cooperate with each other in relation to operational and marketing matters within the agglomeration in which they are located. The aim of this paper is to investigate the impact of both competition and cooperation, i.e. coopetition, on agglomeration and store performance. Drawing on the network debate, this paper develops a conceptual model and tests it in three distinctive agglomerations, each in an urban setting, namely first- and second-order high streets as well as an inner-city retail and service cluster. A total of 277 store managers served as key informants in our survey. Variance-based structural equation modelling reveals that both competition and cooperation improve agglomeration performance directly. Despite competition having a negative direct effect on stores' performance, the overall effect is insignificant. Cooperation affects store performance positively but only indirectly. The contribution of this paper is to reveal and substantiate the complex nature and benefits of the effects of the coopetition of stores located within agglomerations. More widely it underlines the importance of managers of agglomerations understanding the differing effects of competition and cooperation and using this understanding in their management decision making.     

分散决策下的双渠道供应链补偿策略——基于消费者渠道选择行为

为了有效解决由于对消费者的争夺从而引发的渠道之间关于定价、服务水平、利润等方面的冲突,基于消费者渠道选择行为,构建了网络直销市场与传统零售市场需求模型和双渠道供应链利润模型,运用Stackelberg模型,在制造商与零售商实施分决策时,通过制造商对零售商实施补偿激励前后的对比,分析了消费者渠道选择行为对网络直销渠道和传统零售渠道定价、制造商与零售商利润以及供应链总利润的影响,并求得最优定价及制造商的最优补偿额度和零售商的最优销售努力水平,进行了不同情况下的双渠道供应链利润的比较分析。结果表明,无论制造商是否实施补偿激励,都应随着网络消费者比例的增加而增加其网络直销价格;零售商的零售渠道价格应根据网络消费者比例的增加先降低到一定水平后再提升。当更多的消费者选择网络直销渠道时,制造商的补偿激励水平和零售商的销售努力程度均会下降。制造商应提高其补偿水平,进而激发零售商提高销售的努力水平,并使双方利润及供应链总利润最大化。研究结果为基于消费者选择行为的供应链补偿研究提供了新方法,对双渠道的供应链补偿研究有借鉴意义。     

服装店铺服务属性层级体系的研究

作为零售终端的服装店铺,其优质健全的顾客服务对每一个服装公司来说都至关重要。建立完善的服装店铺服务属性层级体系,有助于研究哪些服装店铺服务属性对服装消费决策影响较大,帮助企业赢得顾客并获得更多利润。从"服务"的定义出发,在回顾相关文献的基础上,通过实地考察对店铺服务属性进行补充,并结合专家访谈法和问卷调研法,提出服装店铺服务属性的层级体系。研究还发现,不管是男性消费者还是女性消费者,最关注的前两位店铺服务属性都是店员服务态度和店内服务设施,男性消费者比女性消费者更加关注售后服务和店员补救能力,女性消费者则更看重店员沟通能力和商品陈列。     

Intermediating technologies and multi-group adoption: A comparison of consumer and merchant adoption intentions toward a new electronic payment system

Traditional technology adoption research has assumed a single adopting group. However, there are many settings in which multiple groups must jointly adopt an innovation in order for it to succeed. This is particularly true for new information technology innovations that mediate the relationship between two groups. For example, online exchanges (e.g., Freemarkets, GoFish) must attract both suppliers and buyers in order to be successful. The same is true for providers of hardware/software solutions for electronic data interchange and supply chain management. This article describes the phenomenon of multigroup adoption with a particular focus on applications within the financial services and retailing industries. Empirically, the article reports findings from a study that illustrates the importance of evaluating and managing multigroup technology adoption in the specific context of an in‐market trial of a new smart card‐based electronic payment system. Two distinct groups critical to the smart card's success are studied: consumers (who must decide to use the new card) and retailers (who must agree to adopt and use new technology needed to process smart card transactions). The study identifies which characteristics of the smart card innovation are most closely linked to intention to adopt for each group, and examines how these key characteristics differ by group. Perceptual data were collected via a mail survey from consumers and merchants living in the city where a one‐year market trial of the new card was taking place. Four separate sampling frames were established for both consumers and merchants who were participating in the trial as well as both consumers and merchants who were not participating in the trial. Random samples were then drawn from these frames. More than 350 consumers and over 250 merchants completed and returned the survey. Responses were analyzed separately for each of the four groups sampled. The most important characteristic leading to adoption identified by all four groups was relative advantage—the smart card had to demonstrate a clear competitive advantage over what they currently used. Compatibility (i.e., the degree to which the smart card fit with their current preferences) was also noted as important to all but the nonparticipating merchant group. Beyond this, the key drivers of adoption differed considerably by group. Participating consumers and participating merchants appeared to possess different perspectives when assessing their decision to adopt the smart card technology. Consumers seemed to value the notion that the adoption decision is under their control, whereas merchants seemed to place more value on the antecedents that had the potential to add to their bottom line. This suggests that it is necessary to institute different marketing tactics to attract the early adopting groups. In addition, significant differences in the importance of antecedents between participating and nonparticipating consumers and participating and nonparticipating merchants suggest that, over time, it may also be necessary to develop and use different marketing tactics for later adopters.     

Lump-Sum Payments and Retail Services: A Relational Contracting Perspective*

How should manufacturers motivate their retailers to provide customer services? The vertical restraints literature tells us that retail competition distorts service incentives in the short run. We consider how repeated interaction mitigates this problem, and particularly how a manufacturer can provide service incentives with discretionary lump-sum payments. We find that these payments may allow the manufacturer to sustain optimal service levels even if retailers are very impatient. We also show that banning reverse lump-sum payments may deprive consumers of the chance to enjoy high-quality services, and thereby reduce their welfare.     

Evaluation of mobile services and substantial adoption factors with Analytic Hierarchy Process (AHP)

Emergence of new technological innovations in networks, platforms, and applications has enabled service providers to gain back their massive investment in their infrastructures. However, due to lagging adoption, many service innovations have failed to generate profit. The adoption of different mobile service categories depends on several factors. The current explorative study aims to use Analytic Hierarchy Process (AHP) to identify the most relevant mobile services for consumers and the factors driving the adoption. The results of the AHP analyses indicate that functionality of services is of utmost important for the majority of respondents. The results reveal that basic mobile communication services are the most preferred ones, although several services within different categories are available. The results have important implications for mobile network operators, service and application providers on how to develop and implement specific mobile services. The current study also offers new insights for researchers by showing that AHP is applicable to analyze consumers' preferences.     

Introduction to design and analysis of production systems

In a two-party VMI channel, the vendor operates the basic stocking and delivery functions and makes inventory replenishment decisions while the retailer is responsible for customer acquisition and in-store services. This paper focuses on such retail channel and proposes an analytical model for the partners in supply channel to determine the inventory policy with the objective of optimizing system net profit. The model explicitly incorporates issues from both the vendor and the retailer in order to derive a policy for mutual benefits. To illustrate and obtain insights from the proposed solution procedure, we devise a set of numerical analyses based on various scenarios. Factors such as shelf-space-dependent demand, shelf-space capacity, demand pattern, logistics characteristics, and disparity between holding costs of the warehouse and the retail store are also investigated.     

Using Product Bundling to Facilitate the Adoption Process of Radical Innovations*

Generally, radical innovations are not easily adopted in the market. Potential adopters experience difficulties to comprehend and evaluate radical innovations due to their newness in terms of technology and benefits offered. Consequently, adoption intentions may remain low. This paper proposes bundling as an instrument to address these problems. More specifically, this paper examines how consumer comprehension, evaluation, and adoption intention of radical innovations may be enhanced by bundling such products with existing products. In addition, it is argued that the proposed effects are contingent upon the level of fit perceived to exist between the radical innovation and the product that accompanies it in the bundle. Furthermore, consumers' prior knowledge may affect the influence of bundling on the innovation adoption process as the interpretation of the meaning of new products may be strongly related to prior knowledge. This study therefore investigates whether consumer prior knowledge has such a moderating effect. Hypotheses are tested by means of an experimental study with three different radical innovations and distinguishing among offering the radical innovation separately, offering the radical innovation in a bundle with moderate perceived fit between the products, and offering the radical innovation in a bundle with high perceived fit between the products. Results show that product bundling enhances the new product's evaluation and adoption intention, although it does not increase comprehension of the radical innovation. Moreover, the results show that comprehension, evaluation and adoption intention of the innovation significantly decrease when consumers perceive a moderate fit between the products in a bundle. Taken together, these findings contribute to the bundling literature by showing not only that product bundling may indeed be an effective instrument to introduce a radical innovation but also that product bundling may be counterproductive when ignoring the critical role of perceived product fit as core characteristic of a product bundle. In addition, the notion that product bundling helps to enhance the evaluation and purchase intention of new and relatively complex products suggests a suitable strategy for new product managers to enhance benefits and reduce learning costs for radical innovations. Moreover, the effects of bundling on consumer appraisals of radical innovations are also shown to depend on the level of knowledge respondents possess regarding the product category of the radical innovation. More specifically, if bundled with a familiar product, novices tend to evaluate the innovative product more positively, but for experts no such effect can be detected. As such, these results provide additional specific implications for managers when introducing radical innovations in the market. Offering a radical innovation in a product bundle could be a fruitful strategy for companies that target customers with little or no prior knowledge in the product domain.     

考虑质押物损耗的存货质押融资决策模型

质押物的完整性是关系存货质押融资业务能否顺利开展的重要问题,质押物损耗长期困扰各参与方,阻碍了存货质押融资业务的顺利开展。考虑质押物损耗和第三方物流企业对质押物监管所带来的损耗节约的基础上,研究了存货质押融资最优决策。研究表明:当零售商的初始现金余额很低时,零售商的最优订购数量随着初始现金余额的增加而减少,之后零售商最优订货量保持不变,直到初始现金余额大于某一水平时,零售商的最优订货量开始增加;在零售商贷款且不存在破产风险时,银行的收益随着零售商初始现金余额增加而减少;当风险估值是需求的增函数时,零售商的最优订货量随利率减少。     

Estimating store choices with endogenous shopping bundles and price uncertainty

We develop a structural model of retail store choices for which household shopping plans and price beliefs are endogenously determined. In our model individual households make their store choices based on their expected basket costs, which are determined by their shopping plans and price beliefs. Previous studies use realized purchases as a proxy for unobserved shopping lists and also assume homogenous price expectation across all households over the entire sample period. Our approach improves the measures of expected basket costs by estimating intended shopping lists of households using a duration model and also by constructing household-, time-, store-, and goods-specific price expectations. In our empirical application using a scanner data set, we find that the store choices become significantly more elastic to prices when the correction is applied.