Linking Order Fulfillment Performance to Referrals in Online Retailing: An Empirical Analysis

Referral management for online retailers is a strategically important activity, as referrals offer a highly cost‐effective method of customer acquisition. In fact, online customers mention referrals as the second‐most common reason for choosing to shop at a particular retailer, second only to search engine suggestions. However, while online retailers are able to improve their visibility on search engines through focused keyword insertions, they are often unable to pinpoint the drivers of referral behavior among their customers. The current research examines the relationship between two key dimensions of online retailing: order fulfillment cycle times and referral behavior. Employing a theory of customer appraisal and empirically testing the ensuing model using structural equation modeling, we find that excellent order fulfillment is instrumental in generating referrals for the online retailer, even after factoring in product quality.     

E-retail factors for customer activation and retention: An empirical study from Indian e-commerce customers

Customer satisfaction has emerged as one of the most important factors that guarantee the success of online store; it has been posited as a key stimulant of purchase, repurchase intentions and customer loyalty. A comprehensive review of the literature, theories and models have been carried out to propose the models for customer activation and customer retention. Five major factors that contributed to the success of an e-commerce store have been identified as: service quality, system quality, information quality, trust and net benefit. The research furthermore investigated the factors that influence the online customers repeat purchase intention on the basis of the Means End Chain theory (MEC) and Prospect theory. By hypothesising that a combination of both utilitarian value and hedonistic values are needed to affect the repeat purchase intention (loyalty) positively, Structural equation model has been presented on the primary data collected from the Indian online shoppers. Results indicate the e-retail success factors, which are very much critical for customer satisfaction. By increasing the utilitarian value and hedonistic values derived by the customers, customer satisfaction and hence the customers repeat purchase intention can be increased significantly.     

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.     

How to retain customers in omnichannel retailing: Considering the roles of brand experience and purchase behavior

The opportunities and challenges of omnichannel in retail industry have been widely discussed, yet despite these benefits, the key elements that constitute an effective omnichannel and how customers respond to omnichannel retailing strategies remain unclear. This research conducted online surveys to test the effects of omnichannel elements on various brand experiences and customer retention, considering the moderating role of purchase behavior. The results indicate that omnichannel elements (integration, individualization, and interaction) are generally helpful in retaining customers, through omnichannel elements influence brand experiences differently. In addition, these omnichannel elements have different influences on customer retention due to different purchase behaviors. The findings suggest that retailers can use different omnichannel strategies to attract customers’ purchases and provide insights for practitioners who want to use omnichannel strategies to deliver superior experiences for customers.     

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.     

eTailQ: dimensionalizing, measuring and predicting etail quality

Quality is related to customer satisfaction, retention and loyalty in both product and services settings. Thus, quality is expected to be a determinant of online retailer success as well. Based on online and offline focus groups, a sorting task, and an online survey of a customer panel, the authors establish the dimensions of the etail experience, and develop a reliable and valid scale for the measurement of etail quality. The analysis suggests that four factors—website design, fulfillment/reliability, privacy/security and customer service—are strongly predictive of customer judgments of quality and satisfaction, customer loyalty and attitudes toward the website.     

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.     

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。     

One firm,one product,two prices: Channel-based price differentiation and customer retention

Every multichannel retailer must decide whether and how to apply channel-based price differentiation. This study identifies channel-related price differentiation instruments and considers their effects on customer retention. It empirically tests hypotheses using a laboratory experiment and analytically investigates feasibility conditions. Results show that channel-based price differentiation positively affects customers through perceived value but harms retention through price unfairness and limited self-determination. The mobile communications retailer in this study would require 5.1% lower operating costs online to ensure its profitability. These results indicate that multichannel retailers with channel-based price differentiation should carefully select their price instruments and meet the feasibility conditions.     

“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.     

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.     

What factors determine e-satisfaction and consumer spending in e-commerce retailing?

Evidently, the Internet has resulted in a fundamental shift in retailing practice, creating a shift in both consumer and business behavior, which has been compared to that of the Industrial Revolution. The purpose of this paper is to analyze customer satisfaction in e-commerce market. In particular, we determine the factors that affect customer e-satisfaction and the relationship between customer satisfaction and consumer spending in e-commerce retailing. We focus on how American based e-commerce firms are impacted by these developments and how marketing practices have reflected the developing e-commerce situation. The results show that customer satisfaction does have an impact on consumer spending in American based e-commerce retailers. Further, the relationship between customer satisfaction and consumer spending is positive, where higher e-satisfaction results in more spending in e-commerce. The results also show that there is a direct relationship among e-service quality, e- satisfaction and e-loyalty in terms of online spending by consumers. However, the analysis shows that e-commerce still faces challenges compared with traditional offline retailers since customers cannot feel and try the products, and may end up choosing the products that they do not want.     

Spoiled Rotten: How and When Discontinuation of Repetitive and Regular Delight Offers Increases Customer Desire for Revenge

Retailers often delight their customers with surprise offers. Common wisdom would suggest that this practice is fruitful because customer delight elicits customer reciprocation and increases customer satisfaction. This research examines the negative consequences of offering such delight offers. Across five studies, customers receiving delight offers repetitively and on a regular basis develop a sense of entitlement. Once retailers decide to discontinue those offers, feelings of entitlement prompt customers to seek revenge against the retailer (e.g., filing complaints, switching to competitors, spreading negative word of mouth). Furthermore, customer expectation has been ruled out as an alternative process explanation. Even though customer entitlement and customer expectation are often confounded in the literature, our research offers conceptual and empirical evidence to illustrate the fundamental differences between these two concepts. Our results indicate that retailers could avoid elevating customer entitlement by designing delight offers as one-time offers or by delivering multiple offers following a random pattern. Additionally, we show that retailers can also limit the effect of customer entitlement on customers’ desire for revenge by providing offers of small monetary value and by explicitly communicating that the offer recipients are selected at random.     

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 relationship marketing enhance customer retention and cross-buying?

One characteristic of online consumer behavior is the low cost of searching for alternatives. Therefore, customer loyalty is more difficult to achieve in the online context than in the offline one. Although studies have discussed the effectiveness of relationship marketing, nearly all studies examining such constructs have been in the context of ‘offline’ consumer behavior. With regard to the ‘online’ context, the integration of Internet technology with the customer loyalty concept is rarely discussed in the relationship marketing literature. Furthermore, empirical research that integrates the actual purchase behavior of customer retention and cross-buying is relatively sparse. In response to this, the current study develops and empirically tests a model that examines the relations among relationship-bonding tactics, perceived relationship investment, perceived relationship quality, customer loyalty, customer retention, and cross-buying. Using survey data from 766 online customers of a securities corporation, the results demonstrate the effectiveness of relationship marketing as it positively influences online customers' perception, then their loyalty, and ultimately, their actual purchase behavior.     

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.     

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.     

Online retail experience and customer satisfaction: the mediating role of last mile delivery

ABSTRACT

For various industries worldwide, recent years have been defined by the remarkable growth of e-commerce. Enabled by the Internet, retailers can reach more customers, spread much further in the distribution chain, and optimize their resources. In the new market environment, customer experience has become a source of competitive advantage. This study investigates the role of last mile delivery in the customer’s e-retail experience. A quantitative methodology was used, which incorporated a survey that was conducted in Sweden and measured participants’ most recent e-retail experience. The results indicate that the last mile delivery experience mediates the relationship between the customer’s perception of the online shopping experience and customer satisfaction. These conclusions provide ground for further thorough investigations of the role of last mile delivery in the e-retail context and support e-retailers in increasing their customers’ satisfaction.     

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.