How customer engagement in the live-streaming affects purchase intention and customer acquisition,E-tailer's perspective

In the emerging retail market, e-tailers operating in developing economies have to cope with the rapid use of the Internet, new electronic purchasing methods and online selling platforms. However, e-tailers do not understand the effect patterns in which customer engagement on purchase intention and customer acquisition. From e-tailers’ perspective, this study explores how customer engagement behaviors are related to both purchase intention and customer acquisition. We obtained live streaming data in the mature e-tail live streaming market environment and found empirical evidence supporting the conceptual framework through regression model analysis. The analysis results show that the specific indicators of the customer engagement are not all positively related to customer purchase intention and customer acquisition, and it is worth noting that the influence of “like” behavior on customer acquisition is no statistical significance. This is expected to encourage e-tailers to rethink their focus on customer acquisition and sales enhancement digital strategies as they operate in emerging markets.     

When the customer has left the store: An examination of the potential for satisfaction rub-off effects and purchase versus no purchase implications

Two lacunae in the relationship marketing literature are examined in this paper: (1) effects of satisfaction stemming from one particular store visit on the customer׳s relation to other stores (the existing literature typically focuses on the customer׳s relation to one satisfaction-creating store), and (2) the extent to which the impact of customer satisfaction on future intentions is moderated by what happens during the satisfaction-creating visit in terms of purchase versus no purchase (the existing literature typically assumes that the customer subject to satisfaction has purchased something, despite the fact that the reality of retailing consists of many customers leaving stores without purchases).     

Supermarket self-checkout service quality,customer satisfaction,and loyalty: Empirical evidence from an emerging market

Supermarket shoppers around the world are increasingly encountering and using self-service technologies (SSTs) during their shopping process. The SSTs are mainly offered to reduce retailer costs and enhance customer's experience. Among the many different SSTs available, self-checkout systems (SCS) have become an extremely popular choice of supermarkets around the world. Although some of the main motivations of the supermarkets for offering SCSs are cost cutting, speed, and convenience, supermarkets are also assuming that these services would enhance customer experience, satisfaction, and ultimately loyalty. However, empirical evidence is needed to better understand customer expectations of SCS service quality and how technology based service quality impacts retail patronage. Therefore, the purpose of this research is to examine the service quality of supermarket/grocery store SCSs and its impact on customer satisfaction and loyalty in an emerging market, namely Turkey. Using the SSTQUAL scale (Lin and Hsieh, 2011), data (n=275) for the study is collected from shoppers who had just completed going through the self-checkout counter in a large supermarket chain. The results of this study show that SCS service quality positively influences loyalty through the customer satisfaction path. Managerial and research implications of the findings are discussed.     

Influencer marketing: Homophily,customer value co-creation behaviour and purchase intention

Given the rise in influencer marketing on social media, this paper explores how homophily between influencers and their audiences affects customer value co-creation behaviour, resulting in increased expected brand value and purchase intention. A sample of 910 respondents from the United States completed an online investigation. The results indicate that homophily positively influences customer value co-creation behaviour as well as positively correlates with expected brand value and purchase intention. Customer value co-creation behaviour plays a multi-mediating role. Para-social relationship moderates the relationship between homophily and customer participation behaviour. Overall, this study encourages further research on value co-creation in influencer marketing and can constitute a valuable reference for marketing practitioners and influencers.     

The demand for and the supply of distribution services: A basis for the analysis of customer satisfaction in retailing

This paper brings together two bodies of literature. One of them is a literature on the special role of the consumer in retailing. The other one is the literature on customer satisfaction. This joining of literatures is accomplished by identifying distribution services as outputs of retail firms and fixed inputs into the production functions of consumers and relaxing the standard assumption that the demand for these services is always equal to the supply of these services. The result is a new conceptual framework for the analysis of customer satisfaction in retailing. This framework extends the basic ideas on customer satisfaction developed for manufacturing in a homogeneous single product setting to the heterogeneous multi-product setting relevant for many retailers. The paper illustrates one approach to the implementation of this framework with data for a set of supermarkets in Pamplona, Spain, that measure distribution services by asking consumers questions explicitly identifying these services. The five main categories of distribution services identified by the conceptual framework and measured in the data are economically important and statistically robust determinants of customer satisfaction with supermarkets. These results are obtained controlling for other variables typical of the customer satisfaction literature and measuring customer satisfaction in a manner consistent with that literature. The results are robust to corrections for sample selection and alternative estimation methods. Perhaps our most interesting novel result is that the effect of the determinants of customer satisfaction on future purchase intentions in the supermarket case is different when measured directly in a one stage process than when measured indirectly in a two stage process through the attributes/satisfaction/ purchase intentions chain.

RFM-based repurchase behavior for customer classification and segmentation

Customer behavior modeling and classification are well-studied areas for applications in retail. Past studies implemented the purchase behavior modeling based on the physical behavior of a subject. In this research, we apply the recency, frequency, and monetary (RFM) model and data modeling techniques to detect behavior patterns for a customer. Each transaction attributed to a customer is part of one's behavior, and an instance of the feature vector, it is modeled on a set of transactions to constitute repurchase behavior. The proposed scheme is validated by simulating a publicly accessible real-world data set with a need-tailored multi-layer perceptron (MLP) and also support vector machine (SVM) and decision tree classification (DTC) methods. The experiments yield a high customer classification rate of more than 97% for the different numbers of the customers. Empirical analysis shows that eight transactions are sufficient to classify a customer with high accuracy.     

Does managing customer accounts receivable impact customer relationships,and sales performance? An empirical investigation

The impact of accounts receivables on the performance of salespersons is largely ignored in sales literature. However, in many sales contexts, managing customers' accounts receivables is directly managed by the salespeople, and therefore substantially impacts their sales performance. Towards such sales contexts, in this empirical study, we study the effect of customer account receivables and salespersons' customer orientation on their relationship orientation and customer-related performance. We further analyse the direct impact of relationship orientation on customer-related performance. Using survey-based data from 224 salespersons based out of India, we empirically test the proposed model using partial least squares structural equation modelling. Our findings suggest that accounts receivables from customers and salespersons ‘customer orientation strongly impact relationship building and also improves customer-related performance. The salespersons’ relationship orientation also partially mediates the relationship between customer account receivables and customer-related performance. Therefore, this study provides much-required evidence to establish the salience of salesforce appropriately managing customers' account receivables so that its impact on their sales performance customer relationships are not adversely affected.     

A multi-category customer base analysis

Customer base analysis is an essential tool to measure and develop relationships with customers. While various models have been proposed in a noncontractual setting, they focus primarily on analyzing transactional patterns associated with a single product category or a firm-level activity, such as the times at which purchases are made at a particular retailer. This research proposes a modeling framework for customer base analysis in a multi-category context. Specifically, we model the time between a customer's purchases at the firm and the product categories that comprise her shopping basket arising from multi-category choice decisions. The proposed model uses a latent space approach that parsimoniously captures the dynamics of multi-category shopping behavior due to the interplay between purchase timing and shopping basket composition. We also account for interdependence among multiple categories, temporal dependence across category choices, and latent customer attrition. Using category-level transaction data, we show that the proposed model offers excellent fit and performance in predicting customer purchase patterns across multiple categories. The forecasts and inferences afforded by our model can assist managers in tailoring marketing efforts across categories.     

Increasing customer purchase intention through product return policies: The pivotal impacts of retailer brand familiarity and product categories

This study gauges customer perspectives to investigate how return policy generosity (the degree to which a retailer imposes minimal restrictions on returns) influences customer-perceived value and customer purchase intention. It also examines two moderators, retailer brand familiarity (the extent to which the retailer brand is well-known) and product categories (the difference between products with respect to the magnitude of effort required to make a return). An experiment with a 2 × 2 × 2 factorial design was conducted. The results show that return policy generosity increases customer purchase intention by enhancing the perceived value of the policy. Lesser-known retailers benefit more from generous return policies than their well-known competitors, particularly when a product requires significant return effort. Well-known retailers benefit from offering generous return policies only for product categories that involve low levels of return effort. The findings of this study suggest that if a retailer formulates a return policy without considering the moderating effects of retailer brand familiarity and product category, then it will tend to over-invest if the return policy is generous.     

Enhancing value for Chinese shoppers: The contribution of store and customer characteristics

This study tested the relationships between store and customer characteristics with perceived value and customer loyalty in retailing in China. Survey data were collected from shoppers in department stores (n=200) and supermarkets (n=200) in the tier 2 coastal city of Tianjin. Data for each type of store were analysed separately using structural models. In supermarkets, value was predicted by quality and price, but for department stores, only the customer orientation of the store was significant, suggesting that customers seek different shopping experiences in each context. In each case, value mediated the links to loyalty and, for supermarkets, choice of merchandise and consumer time pressure demonstrated direct links to loyalty. The paper discusses the implications of the findings, and concludes with possible future research.     

How to create a realistic customer journey map

Although many articles discuss customer journey mapping (CJM), both academics and practitioners still question the best ways to model the consumer decision journey. We contend that most customer journey maps are critically flawed. They assume all customers of a particular organization experience the same organizational touchpoints and view these touchpoints as equally important. Furthermore, management lacks an understanding of how to use CJM as a cross-functional, strategic tool that promotes service innovation. This article proposes a solution to the unwieldy complexity of CJM by linking customer research to the CJM process and by showing managers how to develop a customer journey map that improves a customer's experience at each touchpoint. Using the case of an actual retail mall, we show that common CJM assumptions about the equal importance of all touchpoints are fundamentally wrong, and how easy it is for retail managers and strategic planners to make incorrect judgements about customer experience. This article demonstrates through a case study how customer research helped a mall's strategic management team understand which touchpoints were more or less critical to customer experience. It also shows key strategic initiatives at each touchpoint, resulting in cross-functional input aimed to advance service innovation at the mall.     

The effect of shipping fees on customer acquisition, customer retention, and purchase quantities

The growth of the e-commerce sector has highlighted the importance of shipping fees. We empirically study the effects of shipping fees and marketing activities on customer acquisition, customer retention, and average expenditures using data from an online grocer. We find that shipping fees greatly influence order incidence rates and graduated shipping fees significantly affect average expenditures. The analysis indicates that customer acquisition is more sensitive to order size incentives while retention is more influenced by base shipping fee levels. Furthermore, a profitability analysis suggests that shipping policies that provide incentives for larger order sizes may outperform free shipping promotions and standard increasing fees structures.     

Timing customer reactivation initiatives

Firms operating in non-contractual settings apply customer reactivation initiatives such as email messages to stimulate customers who have become inactive temporarily or permanently to resume their transaction activities. Thus, firms need to know which customers are inactive, and when a customer becomes inactive. Existing approaches struggle to distinguish active from inactive customers and do not provide time-scale estimates of when to send reactivation mails. To address these shortcomings, we develop an approach to target and time the sending of reactivation mails. Building on control chart methods, we introduce a gamma–gamma control chart, modelling the average customer interpurchase time and the variation therein to determine activity boundaries. Crossing these boundaries signals a potential change in a customer’s purchasing activity, providing a signal to initiate customer reactivation. A field experiment in the greetings and gifts industry, supported by several additional analyses, illustrates the improved performance of our approach when it comes to signaling customer activity against a wide range of competing models. The improved performance of our method occurs particularly in settings where customers vary strongly in purchase and inactivity patterns.     

The impact of customer experience on consumer purchase intention in cross-border E-commerce——Taking network structural embeddedness as mediator variable

This study investigates the mediator effect of network structural embeddedness between customer experience and consumer purchase intention in the context of cross-border e-commerce. 321 copies of online questionnaires unfold cross-border online shopping experience. The structural equation model is built to analyze the mediator effect of network structural embeddedness. Network density, Network centrality separately plays a mediating role between website ease of use, website relationship service and consumer purchase intention. In contrast, both of them play a mediating role between customer cost and consumer purchase intention. The research suggests developing the relationship between consumers and e-commerce websites for cross-border e-commerce platforms from a network standpoint, but not only marketing.     

Quality of channel integration and customer loyalty in omnichannel retailing: The mediating role of customer engagement and relationship program receptiveness

The aim of this study was to understand how omnichannel integration quality affects customer loyalty through customer engagement and relationship program receptiveness and to verify the relationship between customer engagement and relationship program receptiveness in omnichannel retailing. Data was collected through a questionnaire with 378 available respondents. PLS-SEM was exerted to examine the model. The results disclosed the positive influence of omnichannel integration quality on customer engagement and relationship program receptiveness, which consequently impacted customer loyalty. Also, the positive influence of customer engagement on relationship program receptiveness was proved. Further, the role as mediators of customer engagement and relationship program receptiveness was explored. This study contributed to the omnichannel literature by confirming that psychological and behavioral customer engagement plays a vital role in omnichannel retailing. This study also helped omnichannel retailers understand that providing a seamless, consistent and reassuring environment can facilitate customer engagement and thereby gain customer loyalty.     

Employee encouragement of self-disclosure in the service encounter and its impact on customer satisfaction

In the service encounter, the employee must often encourage customer self-disclosure (i.e., revealing of personal information) to be able to match the customer's needs with what the firm has to offer. This study uses an experimental approach to manipulate employee encouragement of self-disclosure (low vs. high) to explore its impact on the customer. It was found that encouraging self-disclosure enhanced customer perceptions of customization, employee effort, own effort, privacy concerns, and employee humanness, and that these responses influenced customer satisfaction. In addition, because many firms are beginning to replace human employees with various forms of virtual agents (and it has been argued that we humans may find it less threatening to self-disclose to such agents), the identity of the employee (virtual agent vs. human employee) was manipulated, too. The identity factor, however, did not influence customers' responses.     

Examining the relationship between customer bonding,customer participation,and customer satisfaction

This study empirically analyzes the relationship between customer bonding, customer participation, and customer satisfaction. It uses data from 804 VIP customers of South Korea's commercial banks. The hypotheses are tested using the structural equations modeling technique. The results show that social and structural bonding are the main antecedents of customer participation. Additionally, customer participation positively impacts customer participation value and worth. The findings also show that customer participation, customer participation value, and customer participation worth strongly and positively affect customer satisfaction. Furthermore, it finds that customer participation value and worth are essential mediators between customer participation and satisfaction.     

Effects of augmented reality technology characteristics on customer citizenship behavior

In recent years, augmented reality (AR) technology has received considerable attention from academics and practitioners. Although AR technology has a bright side, its dark side has been relatively overlooked. Therefore, this study aimed to investigate the effects of AR technology characteristics on customer citizenship behavior via two conflicting mechanisms: customer immersion and customer fatigue. The study also explored the boundary conditions of customer experience. A total of 247 questionnaires were collected from customers who had prior experience of using IKEA's AR mobile shopping application. A structured model was analyzed using SmartPLS 3 and PROCESS Macro for mediation and moderated mediation effects. The study enriches the current knowledge on AR technology by demonstrating that AR technology can lead to customer citizenship behavior in relation to a brand's AR technology. Interestingly, customer immersion was found to positively mediate the relationship, but customer fatigue was found to negatively mediate it. Furthermore, customer experience was found to strengthen the positive mediation effect of customer immersion and weaken the negative mediation effect of customer fatigue.     

Share of wallet in retailing: the effects of customer satisfaction, loyalty cards and shopper characteristics

In retailing, consumers typically patronize multiple outlets. Thus, an important issue is why consumers vary in how they divide their purchases across outlets and how outlets can get a greater share of consumer expenditures. Two potential avenues for increasing customer share are to raise customer satisfaction, and increase repeat purchase through loyalty cards. This study examines the effects of customer satisfaction and loyalty cards as well as consumer characteristics on customer share spent on the primary grocery store. The findings suggest that customer satisfaction has a positive, albeit modest, effect on share while consumer economic shopping orientation has a negative direct effect on share. The economic orientation of shoppers, their felt importance of a personal relationship with store personnel, and the level of their aggregate purchase volume moderate the effect of satisfaction on customer share. Finally, the results provide mixed support for the impact of loyalty cards on customer behavior.     

Making customer relationship decisions: Analytics v rules of thumb

This article explores how customer management decisions are made in the leading Nordic retail banks and whether these decisions are driven by mainstream analytical approaches to customer lifetime value available through the banks' CRM systems, or by rule of thumb heuristics. The results indicate that the use of managerial heuristics is surprisingly widespread and, counter-intuitively, that rule of thumb heuristic-based decision making frequently outweighs measures such as customer lifetime value with regard to customer management decisions. The implications are considerable because if successful banks are making widespread use of heuristics, managers and academics would benefit from understanding the conditions under which heuristic decision making can be more successful than an analytic approach. This understanding, in turn, may highlight a limitation of CRM systems and point to a more flexible approach to customer management decisions in which experience-based managerial heuristics modify data from formal CRM systems.