Electronic Logistics Service Quality (e‐LSQ): Its Impact on the Customer’s Purchase Satisfaction and Retention

The Internet retailing industry continues to grow rapidly. Several Internet retailers are, however, struggling to retain customers due to the high level of competition among incumbents. We propose that customer satisfaction with the order fulfillment process is an important determinant of overall customer satisfaction with the retailer, as well as with the extent of customer retention enjoyed by the retailer. This paper offers a new concept for electronic logistics service quality and investigates the relationship between the quality of online fulfillment and the ensuing retention of customers, using archival data on 260 online retailers. The structural equation model results indicate that satisfaction with the physical distribution quality and cost are positively related with customer’s purchase satisfaction and customer retention. Additionally, the results indicate that while purchase satisfaction is a strong indicator of customer retention, underlying drivers of purchase satisfaction do not have nearly the same impact on customer retention directly as they have on purchase satisfaction.     

Creating customer repurchase intention in Internet retailing: The effects of multiple service events and product type

Internet retailing literature shows that customers׳ experience with a retailer׳s website and order fulfillment separately influence repurchase intention. This study examines these two experiences׳ interactive effects on repurchase intention. Our research model includes a product type as a moderator, because the type of product can likewise affect a customer׳s experience with the retailer׳s website and order fulfillment. Results of multiple-group structural equation modeling (SEM) from customer reviews of 306 Internet retailers demonstrate that the interactive effects of a web site experience and order fulfillment are significant. In the interactive mechanism, order fulfillment experience is proven to serve as a proximal cause of repurchase intention. The moderating role of product type is significant as well. This finding suggests that practitioners should have unmatched measures for retailing different types of goods.     

When Ethical Transgressions of Customers Have Beneficial Long-Term Effects in Retailing: An Empirical Investigation

The conventional wisdom, grounded in deontological ethics, is that retailers should extinguish unethical customer behavior. However, there exists an opposing teleological view that unethical behavior may be tolerated if its ultimate consequences are beneficial for all stakeholders. This is supported by a survey of retail managers conducted by the authors that revealed over 80% of the respondents are inclined to tolerate unethical customers whose actions have beneficial effects. The primary goal of this research is to investigate the boundaries of this teleological perspective, that is, whether ethical transgressions that appear to have negative short-term consequences for the retailer and other ethical customers can have beneficial longer-term consequences for all parties. We examine this question empirically with a longitudinal dataset, covering seventy weeks and over 48,000 accounts, from a popular Swiss online retailer. We focus on increased revenues and customer engagement as the benefit for the retailer. Our results show that customers registering multiple accounts in violation of the retailer’s policy comprise fewer than 11.5% of accounts, yet generate more than 27.6% of the retailer’s revenue. Specifically, their behavior leads to higher retailer revenues and greater engagement by other customers in the long-run. We discuss the implications of this insight for retailing managers as well as scholars.     

“If you loved our product”: Do conditional review requests harm retailer loyalty?

Online retailers frequently solicit reviews from customers who have recently purchased their products or services. This research examines how consumers react to conditional requests—wherein a retailer explicitly asks them to consider their experience but to only leave a review if this experience was favorable—versus more neutral unconditional requests. The provision of conditional requests is widespread, presumably because retailers believe that such requests will yield more positive reviews. Irrespective of whether these potential benefits materialize, the present research demonstrates that the consequences of conditional requests on customer loyalty (i.e., retailer engagement and repeat purchase behavior) are uniformly negative and surprisingly expansive. Six experiments with over 3,000 participants reveal that customers who receive conditional (vs. unconditional) requests are subsequently less loyal to the retailer, whom they perceive as manipulative and untrustworthy. This research also shows that easily implementable message modifications can attenuate (although not necessarily eliminate) the adverse effects of conditional requests on customer loyalty. Substantively, this work highlights how the messaging used in a review request affects customers’ inferences as well as their later judgments and behaviors. Managerially, the findings should exhort online retailers to exercise caution before sending conditional review requests given the risk of reputational harm.     

基于KANO模型的网络零售商服务质量评价

以KANO模型为基础,建立网络零售商服务质量评价体系,通过定量分析不同层次的顾客需求,找出顾客和网络零售商的接触点,识别使顾客满意的至关重要的因素,如必须质量、期望质量、魅力质量,提升网络零售商的服务质量和经营业绩。网络零售商只有保持必须质量,提升期望质量,增加魅力质量,才会在激烈的竞争不断的发展和壮大。     

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.     

Relationship intention and relationship quality as predictors of clothing retail customers’ loyalty

Retailers endeavour to establish and maintain strong relationships with customers in order to build customer loyalty. Unfortunately, such endeavours are not always successful as not all retail customers reciprocate retailers’ relationship efforts. Customers’ intentions to engage in relationships with retailers (i.e. relationship intentions) should thus be the starting point in building customer loyalty. Moreover, customers’ perceptions of the strength of their relationship with a retailer (i.e. relationship quality) should also be considered when building customer loyalty. The purpose of this study is to determine whether clothing retail customers’ relationship intentions and relationship quality, individually and in combination, predict their loyalty to clothing retailers. Data were collected from 511 respondents in South Africa’s greater Tshwane metropolitan area. From a hierarchical multiple regression analysis, it was found that clothing retail customers’ relationship intentions and relationship quality are individually, and in combination, predictors of their loyalty to the retailer. Results furthermore indicate that relationship quality mediates the relationship between relationship intention and customer loyalty. The findings highlight the importance of first determining customers’ relationship intentions, and then reinforcing positive perceptions of relationship quality when building customer loyalty.     

What retailers need to understand about website inaccessibility and disabled consumers: Challenges and opportunities

This research uniquely contributes to the marketing policy literature by illuminating the widespread yet seldom studied problem of online inaccessibility of retail websites affecting approximately 30 million disabled Americans. When a website is not designed to be navigated easily or is not compatible with assistive technology such as a screen-reader, these potential customers are not able to independently search for information and conduct transactions. Blind and low vision participants in an empirical study provide their opinions regarding accessibility policy issues and reveal that their frustrations with inaccessible retail websites may result, not only in avoidance of the retailer in its different sales channels but also in antifirm behaviors driven by negative attitudes toward perceived retailer accessibility/disability policy that spur feelings of online marketplace discrimination. Using two different evaluation tools, the top 100 retailers in the United States were evaluated on the accessibility of their websites over the past 4 years (2015–2018). Results show that most websites contain many design errors making navigation very difficult or even impossible for vision impaired consumers. The argument is made that online retailers who proactively address these inaccessibility issues on their websites may significantly increase their customer base and profitability.     

Searching offline and buying online – An analysis of showrooming forms and segments

Showrooming is behavior where customers search for information in brick-and-mortar stores and then purchase products online. While the literature conceptualizes showrooming as a one-dimensional variable, we argue that different forms of showrooming exist. We identify four showrooming segments that differ in retailer loyalty, usage of in-store information, devices, place and time of the online purchase. We show further that loyal vs. competitive showroomers differ in psychographic variables, such as price consciousness, desire for social contact and bad conscience during showrooming. The results have important implications for retailers aiming to keep customers in their own channels.     

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.     

Managing a Global Retail Brand in Different Markets: Meta-Analyses of Customer Responses to Service Encounters

This study investigates how retailers can leverage their brand to shape customers’ satisfaction with service encounters. It develops and tests hypotheses about how brand, store, and consumer factors moderate customer responses to experience clues during retail service encounters. Six meta-regression analyses synthesize and compare results from 842 satisfaction equations describing customers’ encounters with a global retailer operating 400 stores in 32 countries. The results show how customers weigh their perceptions of service encounters differently depending on brand, store, and consumer factors. In markets where customers believe the retailer has high holistic brand quality, they place less weight on experience clues within the store. In markets where customers believe the retailer’s service brand promise, they place more weight on in-store experience clues. In markets where the retailer promises utilitarian value, customers weigh functional experience clues more heavily. In markets with an online purchasing channel, the effect of experience clues common to offline and online store environments is magnified, and unique clues are diminished. In addition, customers heavily weigh experience clues that fit their goals. In general, retail success factors include high brand quality (which makes customers more forgiving), a service brand promise that is mirrored in the store image (which makes customers attend to the experience clues aligned with them), and the careful monitoring and managing of retail touchpoints (to customize experience clues to each market). In this way, retailers can use customer-based strategies to effectively design and manage their global retail brand in different markets.     

How to increase multichannel shopping satisfaction? An adapted Kano based stage-gate approach to select new technologies

Today, brick-and-mortar retailers with integrated online shops have many alternatives to increase their customers’ shopping satisfaction: They could invest in (for the retailers) new physical store technologies (e.g., beacons or magical mirrors if not implemented up to now), new online shop technologies (e.g., visual tagging or webcams), or in new less technology-based improvement options (e.g. events or product testing). We propose an adapted Kano based stage-gate approach to support multichannel retailers confronted with such selection problems. The approach is applied to a major European sporting goods retailer. 37 improvement options are pre-selected and evaluated by current and potential customers. It can be shown that instore returns, instore services, reserve&collect, click&collect, customization, product testing, and magical mirrors are drivers of satisfaction for the current customers and should be implemented in contrast to, e.g., geofencing or beacons. The potential customers are more technology-savvy, but show similar categorizations as a current customer segment and so confirm the selection.     

Does Online Information Drive Offline Revenues?: Only for Specific Products and Consumer Segments!

While many offline retailers have developed informational websites that offer information on products and prices, the key question for such informational websites is whether they can increase revenues via web-to-store shopping. The current paper draws on the information search literature to specify and test hypotheses regarding the offline revenue impact of adding an informational website. Explicitly considering marketing efforts, a latent class model distinguishes consumer segments with different short-term revenue effects, while a Vector Autoregressive model on these segments reveals different long-term marketing response.We find that the offline revenue impact of the informational website critically depends on the product category and customer segment. The lower online search costs are especially beneficial for sensory products and for customers distant from the store. Moreover, offline revenues increase most for customers with high web visit frequency. We find that customers in some segments buy more and more expensive products, suggesting that online search and offline purchases are complements. In contrast, customers in a particular segment reduce their shopping trips, suggesting their online activities partially substitute for experiential shopping in the physical store. Hence, offline retailers should use specific online activities to target specific product categories and customer segments.     

The store-as-a-brand strategy: The effect of store environment on customer responses

Despite their significance within the apparel industry, retailers selling just their own brand of apparel (single-brand apparel retailers) have not been examined for the relationship between their store environment and customer responses. This study explores the effect of store environment on customers’ internal evaluations and behavior toward single-brand apparel retailers. Further, to understand the store-as-a-brand strategy, this study examined whether customers have similar cognitive and affective perceptions toward the store versus merchandise. A mall intercept survey was conducted and a non-recursive structural equation model was employed to test the proposed hypotheses. This study found that social, design, and ambient cues as well as merchandise cues influence internal evaluations and ultimately approach behavior toward single-brand apparel retailers. This study also affirmed that the store-as-a-brand concept is valid for a single-brand apparel retailer.     

A penny saved is a penny earned? Differences in male and female savings and consumption tradeoffs on online retail platforms

Online retailers in Asia are increasingly offering interest paying accounts to their users. Based on temporal discounting theory, however, customers might consider tradeoffs in opportunities to save money (offered yield by the online retailer × the account balance) versus withdrawing money from the account for online purchases. Based on a sample of 1.95 million transactions from 24,591 customers, when short-term savings opportunities (7-day annualized yield × account balance) are greater, customers withdraw less money for purchase. Relative to females, males tend to withdraw less money for purchase from their account when long-term savings opportunities (1-year annualized yield × account balance) are higher. The findings have implications for temporal discounting behavior in online retail saving opportunities versus purchase transactions, and implications for online retailers who may cannibalize online sales by offering higher yields to online customers.     

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.     

Is showrooming really so terrible? start understanding showroomers

The customer journey is more omni-channel than ever. In this scenario, so-called showrooming behavior emerges as a growing trend that is usually considered by retailers as a threat. The purpose of this research is to analyze whether showrooming, when compared with online buying behavior in which the customer does not visit the store prior to the purchase, has a positive effect on the price paid online by the customer. The empirical research is based on the database compiled by GfK, which contains detailed information about the shopping journey of 4067 customers who purchased products from different retail sectors. The results, derived from the estimation of several regression models, reveal that showroomers who use their smartphones in store are more likely to purchase products at a higher price, which explains why these customers can be of special interest to retailers.     

In-Store Referrals on the Internet

In the contemporary e-business, a retailer may display the links to the competing retailers directly (direct referral), or display the referral link provided by a third-party advertising agency (third-party referral), and these referrals may be either one-way or two-way. In this paper, we show that the referrals may align the retailers’ incentives and facilitate implicit collusion, and one-way referral may result in a mutually beneficial situation, thereby providing an economic rationale for these seemingly puzzling phenomena. Using third-party referrals may enhance the retailers’ collusion despite the potential disutility and revenue leakage, and referral services may be detrimental for the consumer welfare.     

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.