Shopping Benefits of Multichannel Assortment Integration and the Moderating Role of Retailer Type

To what extent should multichannel retailers integrate assortments across channels? Previous literature controversially discusses the question of which integration strategy is most successful but arguments are only conceptual, and no empirical assessment exists. This article presents a framework that (a) shows how customers’ perceived shopping benefits of variety, convenience, and reduced risk mediate the impact of multichannel assortment integration (full, asymmetrical, no) on patronage intentions and (b) differentiates the impact for retailer types based on substitutive, complementary, and independent assortment relations. Two large-scale experimental studies empirically investigate whether a dominant integration strategy exists in the context of full and simultaneous information (Study 1) and more uncertain and subsequent information accessibility (Study 2). We consistently find that full integration dominates no integration across assortment relations, but asymmetrical integration—the strategy that is most often realized by multichannel retailers—can have a detrimental impact for substitutive relations compared with no integration. Asymmetrical integration can be more beneficial than full integration for independent relations, while customer outcomes differ less for complementary relations. Researchers and managers can use our findings to understand how shopping benefits of variety, convenience, and reduced risk explain the different customer outcomes of multichannel assortment integration, depending on retailer type.     

The influence of multi-channel pricing strategy on price fairness and customer confusion

ABSTRACT

Multi-channel retailers face the challenge of coordinating marketing variables across their channels. In this respect, one of the main issues arising is whether to differentiate or integrate prices. Our study examines the impact of three multi-channel price differentiation instruments on perceived price fairness, customer confusion, and their consequences. In a scenario-based online experiment, we use a 2 x 2 × 2 between-subjects design and manipulate product price differentiation, online promotion and online shipping fees. The results indicate that price differentiation has an impact on fairness evaluations and customer confusion. Product price differentiation and online promotion are perceived as more unfair and lead to more confusion than price parity. Price fairness perceptions of shipping fees depend on product price differentiation. Customers perceive shipping fees as fairer than no shipping fees when prices are cheaper online but perceive shipping fees as less fair when prices are integrated. These results suggest that customers expect a consistent consideration of channel cost advantages and disadvantages and that shipping fees might serve as a cue for customers to consider the retailer’s channel costs. We further show that price fairness and customer confusion mediate effects of pricing instruments (in particular online promotion) on attitudinal and behavioral consequences.     

What drives retailer loyalty? A meta-analysis of the role of cognitive,affective, and social factors across five decades

Today's retailers face significant competition due to the proliferation of both retail formats and channels. It is crucial for retailers to understand how to develop a loyal customer base for competitive advantage. To this end, we conducted a meta-analysis of 1,908 effect sizes from 319 studies on retailer loyalty over the last 50 years, to examine the impact of cognitive, affective, and social retail experience on customer loyalty toward a retailer. Our analysis shows that affective experience became more important over time and had the highest impact on retailer loyalty, 24% more than that of social drivers and 50% more than cognitive drivers. Affective experience is particularly impactful online and for retailers of hedonic or low-involvement products. Social drivers increased significantly in impact over time too. Its effect was particularly strong on attitudinal loyalty, for studies with a higher proportion of females, and surprisingly, in utilitarian rather than hedonic retail contexts. Taken together, our findings suggest that traditional cognitive differentiators such as price and product assortment are no longer sufficient for maintaining customer loyalty to a retailer. Positive affective and/or social experience represent a more defensible path toward customer loyalty.     

Integrating Bricks with Clicks: Retailer-Level and Channel-Level Outcomes of Online–Offline Channel Integration

This research examines the impact of online–offline channel integration (OI), defined as integrating access to and knowledge about the offline channel into an online channel. Although channel integration has been acknowledged as a promising strategy for retailers, its effects on customer reactions toward retailers and across different channels remain unclear. Drawing on technology adoption research and diffusion theory, the authors conceptualize a theoretical model where perceived service quality and perceived risk of the Internet store mediate the impact of OI while the Internet shopping experience of customers moderates the impact of OI. The authors then test for the indirect, conditional effects of OI on search intentions, purchase intentions and willingness to pay. Importantly, they differentiate between retailer-level and channel-level effects, thereby controlling for interdependencies between different channels. The results of three studies provide converging evidence and show that OI leads to a competitive advantage and channel synergies rather than channel cannibalization. These findings have direct implications for marketers and retailers interested in understanding whether and how integrating different channels affects customer outcomes.     

Assessing customers’ perceived value of the online channel of multichannel retailers: A two country examination

Given the constant and often dramatic technological advancements that facilitate retailing, especially online channel adoption by industry and customers, research focusing on customers perceived value of the online channel of multi-channel retailer’s requires conceptual and empirical elaboration. This study advances understanding of customer perceived online channel value and how customer perceptions of value effect online channel satisfaction and online channel loyalty. Using data from a multi-country study, we provide a deeper understanding for multi-channel retailers of how to balance investments in various value drivers to enhance online channel satisfaction and customer loyalty.     

信息共享下双渠道制造商与零售商协调研究

随着internet的应用越来越广泛,许多制造商不仅使用传统的销售商渠道销售产品,而且通过网上直销的方式进行产品销售,双渠道增加了渠道之间的竞争。零售商为了在渠道竞争中获得优势,可以通过花费一定的成本增加零售产品价值。通过建立博弈模型分析强势制造商在对零售商信息完全、信息不完全情况下的定价策略,分析得出制造商获得零售商信息的价值,以及零售商愿意向制造商分享成本信息时的临界收益,旨在提出参考建议。     

具有服务策略的双渠道供应链定价问题研究

本文研究了零售商提供服务的双渠道供应链,分析了零售商在不同的服务成本下提供服务对于供应商和零售商定价策略的影响。研究发现提供服务对于零售商不仅可以扩大利润,还可以把提供服务当作一种有效策略,应对来自电子商务渠道的利润吞噬,通过利润分享从而延缓渠道之间的冲突;只有服务系数小于一个临界值时,提供服务才能使零售商和供应商同时得到帕累托改进。因此,零售商应不断提高服务效率,为消费者提供更高效的服务。     

The omnichannel continuum: Integrating online and offline channels along the customer journey

This paper provides a framework for conceptualizing omnichannel integration as a continuum, identifies phenomena that determine how firms should position along that continuum, and summarizes empirical research regarding these phenomena. The framework combines the customer journey (search to purchase to aftersales) and channel choice (online vs. offline). This generates a range of omnichannel strategies, anchored by “Unconnected” on one extreme and “Complete” on the other. In between, “Vertical” strategies integrate channels over the customer journey, while “Horizontal” strategies integrate across channels at a given stage in the customer journey. We draw on more than 200 articles to identify 10 consumer and marketing phenomena (“determinants”) that influence where a firm should position along the continuum. This however raises challenges. For example, empirical research surprisingly finds many customers belong to an offline-focused segment. This suggests a Vertical strategy linking offline channels. However, today's turbulent retail environment questions whether the offline-focused segment will endure. Should the retailer cater to offline-focused customers or facilitate their progression to “multichannelism”? Another finding is that consumers strongly prefer consistency across channels. This suggests a Horizontal strategy. However, consistency might create channel cannibalization. How can the retailer avoid this? We discuss these and several other findings regarding the impact of the 10 determinants on omnichannel continuum strategy. We identify issues researchers need to research and managers need to consider when developing omnichannel continuum strategy.     

What drives competitive webrooming? The roles of channel and retailer aspects

ABSTRACT

Competitive webrooming, the phenomenon in which consumers gather product information online but ultimately purchase the product in an offline store of a competing retailer, has gained traction and become a major threat for retailers. To gain a deeper understanding of its drivers, we surveyed 1081 retail customers about their most recent consumer electronic product purchase to examine the impact of channel-related aspects as well as retailer-related aspects – a dual approach that has not been applied previously. A channel’s anticipated after-sales service and price level are the strongest predictors for webrooming. Moreover, retailer aspects determine whether customers simultaneously switch retailer when webrooming. A retailer’s assurance of delivery, including payment modalities, return policies, and product obtainment, as well as competitive product prices motivate consumers to switch retailer when webrooming. These results suggest that customers have a fundamental need for certainty within and after the buying process, which can be satisfied by both channel and retailer. Additionally, this is the first study to empirically test for interactions between channel and retailer aspects, as they are likely to occur in real shopping situations. We identified two interactions: First, a retailer’s assurance of delivery can compensate for an anticipated lack of a channel’s after-sales service, dampening the impact of the latter on competitive webrooming. Second, retailer’s price attractiveness acts in a similar vein. Hence, to steer customers into channels and/or keep them with the company, retailers should emphasize their price attractiveness as well as assurance of delivery.     

Financial consequences of adding bricks to clicks

Many e-commerce retailers are adding “bricks to clicks” – that is, opening an offline channel in addition to their digital sales channel(s). Taking the perspective of such an online pure player, this research assesses the effects of offline channel additions on the financial performance (e.g., sales, profits) and customer behavior (e.g., basket size, return rate) in the extended channel network as well as the initial online channel of the retailer. Across two studies, one at the zip code level and the other at the customer level, we find that the channel addition of a fashion and lifestyle retailer is synergistic in terms of increasing not only overall sales but also profits. At the same time, the new offline channel does not significantly cannibalize the existing online shop, as new customers are attracted through the channel addition. The effects of channel additions, however, are influenced by characteristics of customers gained before the channel addition and of the trade area around the newly opened stores: among existing customers, those who bought more in the online channel do not react as positively to the addition of an offline channel, and trade areas with socioeconomic characteristics that are often viewed as disadvantageous for digital retailing (e.g., an older population, lower average income) show a stronger positive sales effect of a brick-and-mortar addition. The attractiveness of the offline channel for these customer segments highlights that adding bricks to clicks might be most attractive for those customers who were previously unwilling to purchase from an online-only retailer.     

Should retailers harmonize marketing variables across their distribution channels? An investigation of cross-channel effects in multi-channel retailing

Retailers with more than one channel of distribution have to decide whether marketing variables such as conveyed image, price, and assortment should be harmonized across channels. This article presents an integrative model and survey results that shed light on this question; its focus is on stores, online shops, and catalogs. The results show that harmonization of marketing variables has advantages and disadvantages: on the one hand, it correlates positively with overall customer loyalty and cross-channel customer retention, i.e., one channel causes more sales in other channels. On the other hand, it also correlates positively with cannibalization within the distribution system. This suggests that general recommendations strictly favoring or disfavoring harmonization do not account sufficiently for the complexity of the problem and retailer heterogeneity.     

Redesigning after-sales service: Impact on incumbent product distribution channels

With the growth of multi-channel retailing, many firms that have traditionally relied upon third-party service providers to offer after-sales service (AS) have introduced direct AS channel. While there exist a few studies that examine the effects of adding a direct sales channel on the sales revenue of incumbent channels, there are no studies investigating the effects of adding direct AS channel. This study tries to fill this research gap by exploring cross-channel effects of including AS through the firm's direct brand stores on performance (i.e., revenue, assortment width, and extent of upselling) in both direct and indirect channels. A matched difference-in-difference quasi-experimental design was used to compare the sales outcomes of test and control groups using a five-year longitudinal dataset from a large dual-channel consumer durables firm. Results reveal that providing AS through the firm's direct channel has a positive significant effect on the revenue and upselling in the indirect channel, but no significant impact on assortment width in the indirect channel. However, unlike hypothesized, it results in significantly lower revenue, assortment width, and upselling in the direct channel. We interpret these negative effects as arising from customer confusion and perceived retail crowding. Overall, our research highlights that implementation of going direct with AS should be done with utmost care. Our findings would serve as a building block for future studies that are conducted to understand the dynamic cross-channel effects of introducing direct AS, and would be useful for drawing comparisons and contrasts.     

Perceptions of assortment variety: The effects of congruency between consumers’ internal and retailers’ external organization

This research shows that consumers’ perceptions of variety and satisfaction are dependent upon how the assortment is organized, both internally by the consumer and externally by the retailer. The results of three laboratory studies indicate that for familiar categories, congruency between a consumer's internal categorization structure and the external store layout leads to higher perceptions of variety and higher satisfaction with product choices, while for unfamiliar product categories, congruency between shopping goals and external structure leads to lower perceptions of variety but increased satisfaction with the store's assortment. However, if retailers institute external category filters congruent with consumers’ internal shopping goals that allow them to bypass products, consumers have both lower variety perceptions and satisfaction with the assortment offering.     

The effect of exclusive distribution on the sales of ready-made meals in online retail

This study examines the impact of exclusive distribution on sales for online retailers and the moderating effects of product assortment (width and depth) and within-category competitive intensity on this relationship. This study used panel data for 3285 ready-made meal products which are newly introduced from August 2018 to August 2021 at a leading online grocery retailer in Korea. The random-effects panel regression was applied to test the proposed model. The results show that exclusive distribution increases sales, and this effect is intensified with greater product depth and greater within-category competitive intensity. These findings provide useful implications for retailers to increase their likelihood of success when adopting an exclusive distribution strategy. This study also contributes to expanding the scope of the literature on the effect of exclusive distribution on sales in the context of online retail.     

Customer retailer loyalty in the context of multiple channel strategies

With an increasingly competitive retail environment and decreasing customer switching costs, customer retailer loyalty is a critical goal for merchants of all types. We investigate customer retailer loyalty in the context of multiple channel retailing strategies. Results show that multiple channel retail strategies enhance the portfolio of service outputs provided to the customer, thus enhancing customer satisfaction and ultimately customer retailer loyalty. These results suggest that multiple channel retailing can be a useful strategy for building customer retailer loyalty.     

多渠道零售商线上线下营销协同研究——以苏宁为例

结合了实体门店与在线商店的多渠道零售模式已经成为全球零售业发展的趋势,但多渠道零售商线上线下协同效应与稀释效应并存,如何通过营销协同实现渠道整合成为零售领域研究的热点问题。本文以苏宁为研究对象,采用规范的案例研究方法对其营销协同策略、影响决策的关键因素以及营销协同绩效进行了深入分析。在案例研究的基础上,以渠道区隔与融合为基准构建了渠道分离、渠道协同、渠道融合、渠道并行四种类型的营销协同战略导向,并以案例分析得出的六个影响因素（消费者特性、成本因素、生命周期、竞争强度、互补性、规模经济）作为自变量,以企业自身因素与外部环境因素作为调节变量,以营销协同绩效作为因变量,构建了线上线下营销协同的理论框架。最后,文章为多渠道零售商的经营管理提供了可操作性建议。     

Do channel members value the multiple-cooperation strategy?

When the manufacturer distributes his products through online and traditional channels, what type of innovative marketing strategy can be utilized to solve the channel conflict and improve the performances of all channel members? Our research addresses this important question by initiating a triple cooperative strategy for channel members to employ in a manufacturer – retailer dual-channel supply chain. Our results show that when the product is less compatible with online channel than with traditional channel, channel members can utilize a triple cooperative strategy to improve channel coordination and their individual performances effectively and efficiently. First, the manufacturer can utilize supportive retail sales effort as a valuable coordination mechanism to improve the performances of all channel members in the dual-channel distribution. Second, a channel coordinative price strategy can be utilized to further improve the performance of whole channel. Finally, a profit sharing mechanism is needed to create a Pareto result for both the manufacturer and the retailer. Furthermore, we extend our model to study the value of triple cooperative strategy in a manufacturer – two competitive retailers supply chain and derive the optimum marketing strategy.     

互联网对零售企业经营能力的影响

在电商零售发展的背景下,越来越多的实体零售企业增加了电商销售渠道。基于2001-2017年47个零售上市公司的数据,文章运用双重差分模型（DID）,选取了存货收入比与固定资产收入比作为衡量零售企业经营能力的指标,估计了增加电商零售渠道对二者的影响。研究发现：（1）增加电商渠道能够显著降低12%的零售企业库存收入比,提高零售企业的经营能力,该影响具有持续性与递增趋势,且商超类企业改善程度更高;（2）互联网并没有显著影响零售企业的固定资产收入比,说明大型实体零售企业大多采用的是商店与电商渠道共同发展的双渠道策略。研究结果说明互联网有利于零售效率提升,且应该注重电商-商店融合的双渠道新零售业态-构建。     

The impact of risk perceptions on the attitude toward multi-channel technologies

ABSTRACT

Several studies show that retailers experience favorable outcomes if consumers use multiple channels. Thus, retailers aim to encourage consumers to do so in a convenient way by offering multi-channel technologies (MCTs). However, not much is known about what affects a positive attitude toward such technologies. Our study investigates how different risk perceptions influence the attitude toward specific MCTs in comparison (check and reserve, click and collect, availability check). Moreover, we examine whether the customer’s general purchase channel preference moderates these effects. Results show that three risk dimensions have significant impacts on the attitude toward MCTs. These effects are generally worst for click and collect, as the negative effects (product quality and data risk) are highest, while the positive effect (product availability risk) is lowest, compared to the other two MCTs. Additionally, we generally find that the more a customer prefers buying via the online channel, the weaker the effects of the risk dimensions on the attitude are. Our findings provide implications on how to improve consumers’ attitudes toward the selected MCTs by influencing their perceptions of different risk dimensions.     

Why is Price Dispersion Higher Online than Offline? The Impact of Retailer Type and Shopping Risk on Price Dispersion

When physically similar products, of similar quality, are offered by retailers both online and offline, we often observe that the dispersion in prices of these products online is greater than the price dispersion offline. This observation runs counter to early theories that suggested price dispersion online would be smaller than that offline due to the ease of search and information availability online. This paper investigates and provides an explanation for this puzzling phenomenon by examining the impact of two important drivers of price dispersion: retailer type and consumers’ shopping risk. Retailer type refers to whether a retailer is a pure offline, pure online, or dual channel retailer. Shopping risk is defined as the product of consumers’ perceived risk of shopping and the transaction uncertainty related to shopping at different types of retailers.A game-theoretic approach is adopted to model consumers’ price search and product purchase, as well as price competition within and across retailer types in online and offline markets. Equilibrium pricing strategies are derived for different retailer types competing for different consumer segments with different levels of perceived shopping risk. The impact of retailer type and shopping risk on online versus offline price dispersion are quantified, and conditions when price dispersion is greater online than offline are identified.Results indicate that price dispersion is greater online when the number of pure online retailers is sufficiently large and is increasing in the number of pure online retailers. In addition, a reduction in online shopping risk may actually increase online price dispersion. Results further suggest that even without any online sales, dual channel retailers should maintain their online presence for the purpose of information dissemination, which justifies the importance for pure offline retailer to incorporate webrooming strategies, where consumers can search for prices online but purchase offline.