Re-examining online customer experience to include purchase frequency and perceived risk

This research examines the important emerging area of online customer experience (OCE) using data collected from an online survey of frequent and infrequent online shoppers. The study examines a model of antecedents for cognitive and affective experiential states and their influence on outcomes, such as online shopping satisfaction and repurchase intentions. The model also examines the relationships between perceived risk, trust, satisfaction and repurchase intentions. Theoretically, the study provides a broader understanding of OCE, through insights into two shopper segments identified as being important in e-retailing. For managers, the study highlights areas of OCE and their implications for ongoing management of the online channel.     

Online grocery shopping: the impact of shopping frequency on perceived risk

Online grocery shopping has enjoyed strong growth and it is predicted this channel will continue to grow exponentially in the coming years. While online shopping has attracted an abundance of research interest, examinations of online grocery shopping behaviour are only now emerging. Shopping online for groceries differs considerably from general online shopping due to the perishability and variability of the product, and frequency of the shopping activity. Two salient gaps underpin this research into online grocery shopping. This study responds to calls to investigate the online shoppers’ experience in the context of online purchasing frequency. Second, this study examines the mediating effect of perceived risk between trust and online repurchase intention of groceries. An online survey was employed to collect data from shoppers who were recruited from a multi-channel grocery e-retailer’s database. The online survey, comprising 16 reflective validated scale items, was sent to 555 frequent and infrequent online grocery shoppers. Results find that while customer satisfaction predicts trust for both infrequent and frequent online grocery shoppers, perceived risk fully mediates the effect of trust on repurchase intentions for infrequent online grocery shoppers. Furthermore, path analysis reveals that the developed behavioural model is variant across both groups of shoppers. Theoretically, we provide a deeper understanding of the online customer experience, while gaining insight into two shopper segments identified as being important to grocery e-retailers. For managers, this study tests an online customer behavioural model with actual purchasing behaviour and identifies the continued presence of perceived risk in grocery e-retailing, regardless of purchase frequency or experience.     

Customer experience in social commerce: A systematic literature review and research agenda

Social commerce (SC) is an upcoming trend that has changed the online shopping experience by allowing e-retailers to develop long-term relationships with customers and increase sales. Empowered by Web 3.0, SC offers many-to-many interactions, enhancing the quality and quantity of social interaction related to the seller–customer, information searches, and product/service delivery. The customer experience (CEX) has been well developed both in the online and offline contexts. However, limited attention has been paid to examining CEX in the SC setting. This study aims to conduct a systematic review of the literature to develop a conceptual framework exploring both the antecedents and consequences of CEX in the SC setting. In the process, we make three significant contributions to academia and practice. First, the study contributes to our understanding of CEX in the context of SC. Second, it proposes a conceptual framework by identifying antecedents of CEX and potential consequences using the consumer culture theory. Finally, it highlights a subject relevant to academia and practice while proposing recommendations for further research.     

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.     

Negative and positive customer shopping experience in an online context

Underpinned by the Bagozzi and Dholakia (1999) goal setting and striving framework this research firstly develops a negative online customer experience model after which regulatory focus theory is used to compare this model with a positive online customer experience model. Analysis of responses from 201 respondents in the first study shows service failure causes negative affective and cognitive experience and has an impact on dissatisfaction and negative word of mouth in the online retailing context. Moreover, results of a second study among 200 respondents indicates that while customer priority in a successful shopping context is affective experience, in a service failure the customer priority moves from an affective to a cognitive experience. Similarly, compared to cognitive experience, affective experience has a higher impact on customer satisfaction and positive word of mouth in a successful shopping context, while in an unsuccessful shopping context cognitive experience has higher impact on dissatisfaction and negative word of mouth. The findings of this study contribute to customer experience management in both successful and unsuccessful shopping situations.     

Customer Experience in Online Shopping: A Structural Modeling Approach

Online retail's rapid growth in India has triggered both untapped growth opportunities and challenges to maintain consumer “stickiness” to retailer websites. In this context, online customer experience (OCE) has emerged as a strategic differentiator for sustainable competitive edge. However, there is a paucity of empirical research in this field. Therefore, drawing on extant literature and qualitative research of online shoppers, this study proposes an integrated model of OCE with antecedents, components, and outcome variables. Data for this study were collected from Indian online shoppers; the data are empirically tested along with the moderating effect of time availability on OCE. Results of the study largely support the model and contribute to knowledge creation on OCE in the Indian context and to strategy development for online retailers.     

“I just like this e-Retailer”: Understanding online consumers repurchase intention from relationship quality perspective

In an increasingly competitive market, retaining customers is essential for both e-retailers and online shopping platforms. This study focuses on relationship quality as it pertains to repurchase intentions in Ghana. The mediating role of price level is addressed. The results show that customer trust, customer commitment, and customer satisfaction affect price level. Customer trust and satisfaction affect repurchase intention, but customer commitment does not affect repurchase intention. Also, price level mediates the relationship between relationship quality and repurchase intention. Implications of these findings are discussed.     

The new wave of AI-powered luxury brands online shopping experience: The role of digital multisensory cues and customers’ engagement

Academic literature retains a dearth of empirical evidence of the cutting-edge aspect of artificial intelligence (AI)-powered digital assistance and digital multisensory cues, despite the prospect of these factors on real-life customers' luxury brand online shopping experience. Thus, the aim of this study is to examine the significant pathway and effects of AI-powered digital assistance toward customers’ luxury brand online shopping experience. Drawing on S–O-R (Stimulus, organism, and response) and TRAM (Technology Readiness and Acceptance Model) paradigm, a multi-method research design was deployed to investigate constructs. Firstly, semi-structured interviews were utilized to explore customers' online behavior under the luxury brands and information technology aspect. Secondly, survey data were collected and analyzed by using partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA). The PLS-based analysis of quantitative data confirmed the exploratory insights of qualitative findings, establishing the connections of AI-powered digital assistance, customer engagement, and customers' luxury brand online shopping experience. Research findings also suggest that customer engagement plays a mediation role in the relationship between AI-powered digital assistance and customers' luxury brand online shopping experience. Besides, digital multisensory cues moderate the relationship between AI-powered digital assistance and customer engagement. Further, fsQCA complements the findings of PLS-SEM that reveal the significant combination of factors that lead to the perceptions of customers' luxury brand online shopping experience.     

Seamless experience in the context of omnichannel shopping： scale development and empirical validation

In recent years, delivering a superior seamless experience (SE) for customers has become one of the most crucial aspects of omnichannel marketing for omnichannel retailers. However, research lacks a common understanding of what the SE is and how customers evaluate the SE throughout their omnichannel shopping journeys, and the effects of the SE on important customer behaviors remain unexplored. Drawing on omnichannel customer experience research, following the scale development process, this research conceptualize and develop a scale to measure the SE construct. Building on the customer experience quality framework, this research further examines the effects of customers’ prior SE on repurchase intention, word of mouth (WOM), and customer influence behavior in the omnichannel shopping context. The SE scale is developed and validated by performing 15 semi-structured interviews, 62 open-ended questionnaires, and three online surveys with 884 useable respondents in total. The effects of SE are then validated via partial least squares modeling with 307 useable respondents. The findings confirm that the SE construct is a formative second-order construct composed of six reflective first-order dimensions. Our empirical findings indicate that the overall SE has a direct and significant impact on the foregoing three customer behaviors. Managers can use the SE scale as an effective omnichannel approach to design a seamless shopping journey and maintain long-term relationships with customers.     

Customer Satisfaction with E-Retailers: The Role of Product Type in the Relative Importance of Attributes

It is of strategic importance for e-retailers to allocate their resources to various service attributes according to their relative importance. How does one determine the relative importance of different service attributes? Does the relative importance of different service attributes remain the same across different product categories? These questions must be addressed by researchers and e-retailers. Since customer ratings for service attributes are highly correlated, modeling methods other than traditional regression models should be used to analyze the relative importance of service attributes to overall customer satisfaction. As such, this article utilizes neural networks in order to study the relative importance of e-retailer service attributes. Importantly, this article shows that the relative importance of e-retailer service attributes varies across different product categories (i.e., convenience, shopping, and specialty goods).     

Towards rebuilding the highstreet: Learning from customers’ town centre shopping journeys

Patronage in town centres has been fluctuating over the past few years, indicating that consumers are buying elsewhere in pursuit of better and more fulfilling shopping experiences. This is concerning as patronage is considered an indicator of high streets vitality and viability. To help understand the changing patterns of patronage, especially related to the growth in online retail spending, this study sheds light on key touchpoints that influence the town centre shopping experience. Using the customer journey framework and drawing insights from datasets of two central UK regions, we provide new contribution to town centre research by capturing significant and specific physical and digital touchpoints in the town centre shopping journey, thus developing our understanding of the determinants of the town centre shopping experience. Consequently, this work provides recommendations for town centre management to help improve town centre patronage by developing customers’ experience with shopping-specific touchpoints.     

The investigation on dimensions of e-satisfaction for online shoes retailing

Purpose—Online retailing has become a standard component in companies' multi-channel structure. This trend also involves an increasing number of experience attribute dominated products, which traditionally rely on brick-and-mortar retailers. These manufacturers have started to open their own online retail stores. This study identifies the key determinants of e-satisfaction at different stages of shoes online shopping process.Design/methodology/approach—We collect consumers' reviews about their online shopping experiences from online review websites. We use both qualitative and quantitative approaches to analyze the dataset, and investigate the complete process of consumers' e-tailing experiences.Findings—this research identifies the two key factors driving e-satisfaction of purchasing experience attribute dominated products online: product selection and customer service. In particular, our findings show that product selection is critical for e-satisfaction in the pre-purchase stage, and that customer service is more important in the post-purchase stage. Lastly, the study finds that manufacturers' websites often receive more negative reviews because of their poor service recovery strategies in the post-purchase period.Research limitations/implications—This study emphasizes the importance of adopting a dynamic approach by considering various stages of the consumer's online shopping experience. This study focuses on one specific experience good; the shoe industry.Practical implications—The results of this study are invaluable to firms interested in providing experience attribute dominated products online. Our findings indicate that product selection and especially post-purchase service are critical for a successful e-tailing.Originality/value—This paper emphasizes the importance of taking a dynamic view to investigate consumer's e-tailing experience. We adopt both qualitative and quantitative approaches in our study.     

Website evaluation criteria among US college student consumers with different shopping orientations and Internet channel usage

The purpose of this study was to compare the website evaluation criteria among college student consumers in the US with different shopping orientations and Internet channel usage (i.e. online information searchers, online purchasers). The sample for this research was 414 college students, non‐married and aged 18–22 who have experience in visiting websites selling apparel products. Five apparel website evaluation criteria were identified by factor analysis (i.e. product information, customer service, privacy/security, navigation, auditory experience/comparison shopping). Based on shopping orientation factors, cluster analysis revealed three shopping orientation clusters (i.e. Hesitant In‐home Shoppers, Practical Clothing Shoppers, Involved Clothing Shoppers). Factorial manova showed that website evaluation criteria were significantly different among college student consumers with different shopping orientations and between online information searchers and online purchasers. Implications and limitations of the study are discussed.     

面向网上零售商的交叉销售识别研究

有效利用网络消费者的信息,了解和预测他们的需求和偏好,从而实现客户满意和交叉销售,提高自己的竞争力,已经成为发展网上零售的一个重要切入点。本文根据网络消费者的基本信息、网上购买信息和网上行为信息等,建立了相应的交叉销售识别指标体系,希望对网上零售的发展有一定的借鉴意义。     

Combining channels to make smart purchases: The role of webrooming and showrooming

In this study, the authors analyse the influence of specific combinations of online and physical channels (webrooming and showrooming) on the customer experience, specifically, on smart shopping perceptions and feelings. Taking into account that cross-channel consumers are driven by different motivations, the influence of shopping motivations is controlled. The results of an experiment in the fashion industry show that webroomers have greater perceptions of time/effort savings and of making the right purchase, and greater smart shopping feelings, than showroomers. Furthermore, webrooming leads to higher personal attribution than showrooming, meaning that consumers feel responsible and in control of their purchase outcomes. Personal attribution then mediates the impact of webrooming on smart shopping feelings. Although companies may have difficulties in tracking consumers’ use of online and offline channels, their enhanced control over the process may improve their experience through smart shopping perceptions and feelings.     

网购认知与顾客抱怨行为的关系研究

在网络购物过程中,顾客会因各种产品质量问题而感到不满意,从而产生抱怨行为。基于此,文章在网络购物背景下,分析顾客抱怨行为的影响因素,通过层级回归方法,重点探讨网购认知与顾客抱怨行为的关系。研究发现网购认知与顾客抱怨行为倾向之间存在正向关系,网购认知越高,顾客抱怨行为倾向越高。并且网购认知对向卖方抱怨、私下抱怨以及向第三方机构抱怨等三类抱怨行为均存在较大影响。因此电子商务企业应加强顾客抱怨管理,提升顾客满意度。     

Social perspectives of e-contact center for loyalty building

Recently, e-contact centers have gained popularity among online companies as a preferred channel to communicate with their customers. E-contact centers are respected among e-retailers and online customers because they provide customers value within a social construct. This research suggests that an e-contact center serves as an effective marketing vehicle, which can be used for establishing and maintaining desired relationships with customers. E-contact centers enhance the relationship between e-retailers and online customers by providing social values and quality interpersonal service to customers. Despite the strategic importance of e-contact centers in relation to customer loyalty, little attention has been given to the topic. To remedy this, the primary objective of this study is to assess the impacts of social elements (i.e. perceived social value and interpersonal service quality) delivered by e-contact centers on customers' loyalty formation processes. Loyalty formation process is parsimoniously explained by an integrative model, which incorporates interpersonal service quality, social value, retailer satisfaction, and e-contact center satisfaction constructs.     

Managing customer experiences in online product communities

Many companies have established online product communities or forums as a vehicle to extend product support services to their customers. Customers' interactions in such online forums with peer customers and vendor representatives resolve their product-related queries as well as inform on their product purchase decisions. Despite the significance of such interactions, there has been limited theoretical attention so far on how companies can manage customer experiences in online product communities. Drawing on theories and concepts from diverse areas including computer-mediated communication, consumer psychology, and online communities, this study proposes a four dimensional construct - Online Community Experience (OCE) - to capture customer experiences in such online product communities, and examines its impact on customer attitudes regarding the product, the company, and the quality of service. Data collected from customers in online product forums offered by four companies is used to test the study hypotheses. Implications for research on online consumer behavior and marketing are discussed.     

Understanding the impact of online customers’ shopping experience on online impulsive buying: A study on two leading E-commerce platforms

Research offers some indication that the online customers' shopping experience (OCSE) can be a strong predictor of online impulsive buying behavior, but there is not much empirical support available to form a holistic understanding; whether, and indeed how, the effects of the OCSE on online impulsive buying behavior are affected by customers' attitudinal loyalty and self-control are not well understood areas of research. In this study, we examine how functional and psychological dimensions of the OCSE influence online impulsive buying within e-commerce platforms. We will investigate customers' attitudinal loyalty as a mediator between the OCSE and online impulsive buying behavior, and the customers' self-control as a moderator between customers' attitudinal loyalty and online impulsive buying. To analyze these relationships we will conduct an online survey (n = 1489) with customers of two leading Chinese e-commerce platforms: Jindong and Taobao. The findings from structural equation modeling indicate a positive relationship between the tested dimensions of the OCSE and customers' online impulsive buying. We also find a mediating role of customers' attitudinal loyalty and negative moderation of customers’ self-control. Theoretically, the findings contribute to the literature regarding online impulsive buying and the online customer experience. For managers, the findings stress the importance of ethical management with regard to the online shopping experiences.     

Exploring online customer experience: A systematic literature review and research agenda

This review aims to examine the latest research on online customer experience (OCE), which can be defined as consumer's cognitive, emotional, and behavioral response to interactions between customer and company occurring through digital channels (e.g., websites, social media, mobile apps). To achieve this, we utilized a hybrid review approach that incorporates quantitative bibliometric analysis and qualitative systematic literature review techniques. We identified publication trends, prominent authors and outlets, and the evolution of research themes based on 141 articles published since the last systematic review 11 years ago. Our framework-based review identified frequently studied antecedents, dimensions, and outcomes of OCE, and identified new themes related to m-commerce and augmented/virtual reality. We also identified gaps in the current literature and proposed 14 areas of future research using the TCM framework.