Online Shopper Motivations, and e-Store Attributes: An Examination of Online Patronage Behavior and Shopper Typologies

e-Stores and online shopping have become important aspects of a retailer's strategy. Previous research suggests that online shoppers are fundamentally different from traditional offline shoppers. However, based on the Big Middle Theory (Levy et al. 2005), the authors believe that there are segments of online shoppers that are very similar to regular shopper groups. To determine this, online shopping motivations and e-store attribute importance measures are separately used as the basis to develop online shopper typologies. Results reveal that there are more similarities than differences among traditional and online store shoppers. However, there are a few unique shopper types present at online stores, attracted by the distinctive characteristics and attributes of the online retail environment. The findings offer interesting implications for online retail strategy.     

The Impact of the Multi-channel Retail Mix on Online Store Choice: Does Online Experience Matter?

More and more grocery retailers are becoming multi-channel retailers, as they are opening an online alternative next to their traditional offline supermarkets. While the number of multi-channel grocery shoppers is also expanding at a fast growth rate, there are still large differences in online shopping frequency, and as a result, in the levels of experience with buying in the online grocery channel. This study wants to (i) identify the underlying drivers of online store choice and (ii) explore if and how these drivers change when multi-channel shoppers gain online grocery shopping experience. We investigate this question with an online store choice model using purchase data of an extensive UK household panel over a two-year period, covering all multi-channel retailers in the grocery market. Our results show that multi-channel shoppers, at the start of online grocery shopping, tend to select the online store belonging to the same chain as their preferred offline store, especially when the online store is strongly integrated with the offline store in terms of assortment. When online grocery shopping experience increases, multi-channel shoppers’ focus shifts from a comparison within a chain across channels to a comparison across chains within the online channel, resulting in an increasing importance of online assortment attractiveness and online loyalty when choosing an online store.     

Online Purchase Paths and Conversion Dynamics across Multiple Websites

Low transportation costs online allow shoppers to visit multiple e-commerce sites for a purchase decision. This research investigates online shoppers’ visit and purchase behaviors across competing websites. To consider that shoppers’ longitudinal cross-site visit data may consist of several unobserved shopping episodes, we propose a modeling approach to probabilistically clustering and relating online visits to latent shopping episodes, based on the temporal patterns of the visit events. The inferences are then used to examine shoppers’ visit-to-purchase behavior across websites. Using Internet clickstream data on individual-level browsing and transaction records at major air travel sites, we find that online shoppers’ cross-site visit patterns tend to be clustered and the purchase propensity is significantly higher at later visits within a visit cluster, compared to earlier visits. As our results suggest the possibility that visit clusters can serve as a reasonable proxy for shopping episodes, we look further into shoppers’ website choice and purchase behaviors within a cluster. We discuss how the cluster-based analysis can help managers tailor online marketing and advertising strategies based on shoppers’ cross-site visit and purchase patterns.     

Low-carbon decision-making model of online shopping supply chain considering the O2O model

A demand function of online shopping supply chain based on online-to-offline (O2O) fusion degree is proposed by considering the low-carbon awareness of online shoppers in view of the low-carbon decision making of supply chain in combination with the O2O operation background. On this basis, a low-carbon decision-making model based on online stores and their suppliers is established, and the application of the model is analyzed. Results show that the promotion of low-carbon operation is efficient when the consistency of online and offline operations of online stores and their suppliers is high. In addition, the decision making considering the cost of carbon information release is highly conducive to improving the low-carbon awareness of online shoppers if the low-carbon level of online shopping goods is lower than the low-carbon standard. Accordingly, the low-carbon operation of online shopping supply chain will be promoted.     

基于消费者体验的在线购物价值研究

伴随着在线零售的迅速发展,在线购物体验及其衍生的购物体验价值日益受到学术界和实务人士的重视。基于消费者体验视角,本文考察了在线购物体验的四个维度,即感官体验、实用体验、认知体验与关系体验,识别出在线购物体验价值的四种类型,包括经济性价值、社会性价值、享乐性价值以及利他性价值——本研究证实的一种新的购物体验价值,发现消费者感知的在线购物体验会正向影响购物体验价值,后者又会对在线购物意向产生正向影响。研究还发现,性别、互联网经验、网购年龄及网购频率会影响消费者的在线购物体验及体验价值感知。     

E-lifestyles of Indian online shoppers: A scale validation

Online shopping in India is growing at a dramatic rate and marketers are still working on understanding the lifestyles of online shoppers for purpose of segmentation, targeting and promotions. The scales for such requirements developed in other countries may not be apt for use in India. Hence there is a need to develop appropriate scales applicable in the Indian context. By way of review of the previous literature as well as exploratory study through interviews and focus group with online shoppers and experts in the field, the authors develop a pool of items relating to electronic lifestyles, henceforth called e-lifestyles of Indian online shoppers. Further using exploratory as well as confirmatory factor analysis, reliability and validity of the scale is confirmed and a six factor scale consisting of e-enjoyment, e-distrust, e-self-inefficacy, e-logistic concerns, e-negative beliefs and e-offers is developed. The study is a first step towards identifying a more holistic picture of factors that influence Indian online shopper lifestyles or e-lifestyles. The findings of this study can be integrated into marketing and promotional strategies of the web retailers.     

Drivers of E-store Patronage Intentions: Choice Overload,Internet Shopping Anxiety,and Impulse Purchase Tendency

The dotcom era has infused a rapid increase in the usage of e-commerce in India, making online shopping the new way of retailing. This study investigates online consumers’ e-store patronage intentions, specifically modeling the ties from broad dispositional traits including choice overload, Internet shopping anxiety, and impulse purchase tendency among online shoppers. Based on the responses of 243 online shoppers, the findings suggest that consumers’ e-store patronage has a positive relationship with choice overload such that availability of larger assortments online results in a higher possibility of consumers’ patronage toward such e-tailers. Choice overload in the online context was also found to positively influence consumers’ impulse purchase tendency and showed a positive effect on Internet shopping anxiety. Furthermore, results indicate that the impulse purchase tendency of online shoppers had a significant positive effect on e-store patronage intentions, while Internet shopping anxiety was found to negatively affect the patronage intentions of shoppers.     

上海地区大学生网购行为调查与分析

本文研究上海地区大学生网购行为的实证问题。通过调查问卷对上海地区大学生网购行为调查,来分析了解上海地区大学生网购的现状。其次分析购物群体特征和购物行为特征,对上海地区大学生网购行为中的选择商品类型、网站偏好、支配金额意愿、上网时间、网购频率、网购安全认识及网购动机进行调查。最后运用SWOT模型分析上海地区大学生网购行为,从而对上海地区大学生合理的网购提出一些建议。     

Exploring the choice between in-store versus online grocery shopping through an application of Semi-Compensatory Independent Availability Logit (SCIAL) model with latent variables

This paper examines individuals' choice of in-store and online grocery shopping channels using stated preference (SP) choice experiments. The study uses 1,391 records from a stated preference choice experiment in the Greater Toronto Area (GTA), Canada. It applies a Semi-Compensatory Independent Availability Logit (SCIAL) Model with latent variables. The methodology accounts for semi-compensatory choice behaviour through probabilistic choice set formation considering effects from socioeconomic and psychological variables. This study demonstrates the advantage of considering probabilistic choice set formation and semi-compensatory behaviour in modelling the adoption of innovative products. Empirical results reveal that shoppers demonstrated similar myopic behaviours once they firmly considered in-store grocery and subscribed free delivery services in their choice sets. They are equally likely to choose both channels without careful comparison to alternative channels once they firmly consider both channels in the choice set. However, considering the latter in choice sets is much costlier than in-store shopping. Therefore, in-store grocery shopping will still dominate the grocery shopping channel unless all home delivery services become free. Moreover, grocery shoppers value same-day delivery service. For typical delivery services charged between $4 and $20 in the GTA, Canada, grocery shoppers are willing to pay between $3.91 and $8.44 for same-day delivery. The latent variable describing shoppers’ perceived pandemic fear significantly contributes to the choice set inclusion probability of in-store grocery pick-up services, but the effect is not significant for other home delivery channels. This highlights heterogeneity in grocery shoppers' choice behaviour within 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.     

Creating Retail Web Sites for Different Consumer Shopping Orientations

Abstract

As the number of Web sites continues to expand and consumers increase their use of the Internet, companies must find ways to convert visitors to buyers and boost return visits to their sites. Most sources that offer guidelines for developing Web sites assume that all Internet shoppers are the same. An examination of customers' shopping orientations would, however, indicate that this is unlikely to be the case. To develop a more effective Web site, it is important to consider the shopping orientations of the target market. This article describes five different shopping orientations and offers ways to address these differences when creating a Web site.     

An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter?

Motivated by the lack of knowledge of what factors deterring Internet users from adopting the Internet shopping in developing cultures, this investigation is therefore intended to underline the possible factors responsible for their deterrence. To achieve this objective, a model was proposed by involving factors established in literature as key potential drivers for predicating individuals' behavioral intention to adopt new technologies. The proposed factors were drawn from popular IS/IT adoption theories, namely perceived ease-of-use, perceived usefulness, perceived compatibility, social influence, trust, perceived risk, privacy, security, Internet shopping anxiety, Internet self-efficacy and price. Gender moderating influence was investigated in the conceptualized relationships between proposed factors and behavioral intention.This study was implemented by collecting data through a self-administered questionnaire from a broad diversity of Jordanian Internet users. Analyzing the data which consists of 261 valid datasets was accomplished by using WarpPLS 4.0. The results provide significant statistical evidence in support of all the factors hypothesized to influence behavioral intention to adopt with the exception of three factors: perceived risk, privacy and security. Furthermore, the gender was found to moderate the relationships between five of the proposed factors (perceived ease-of-use, social influence, trust, perceived risk, privacy) and behavioral intention. This study has also revealed some differences between online shoppers (based on prior literature and results) and non-shoppers. Interestingly, the proposed model explains 58% of the total variance in intention to adopt Internet shopping. Findings and limitations are discussed, theoretical contributions and practical implications are outlined, and future research directions are suggested.     

Consumer Shopping Styles and Online Shopping: An Empirical Study of Indian Consumers

ABSTRACT

The generalizability and applicability of the Consumer Shopping Inventory (CSI) scale on Indian sample in predicting online shopping behavior was examined. CSI scale has been adapted by researchers to validate its applicability in different countries. Results revealed new factors and different segments of consumers were identified by factor analysis. The findings posit that the original U.S. eight-factor model could not be confirmed completely on Indian sample. However, the study found support for five factors: quality-conscious shopper, fashion-conscious shopper, uninterested shopper, impulsive shopper, and brand-conscious shopper. Online shopping behavior was categorized under convenience, information availability, and cost factors. Demographic factors do not influence consumers' decision to shop online. Consumers shopping online frequently and Impulsive shoppers are likely to look at convenience factor of online shopping. Information availability was important for fashion-conscious shoppers, consumers frequently shopping online, and impulsive shoppers. Brand-conscious shoppers and quality-conscious shoppers were not likely to purchase online.     

Consumer orientations of secondhand fashion shoppers: The role of shopping frequency and store type

As demand for secondhand fashion grows, the objective of this study is to examine consumer orientations of secondhand shoppers to determine whether they differ by shopping frequency, and store type. Hypotheses were developed for orientations of frugality, ecological-consciousness, materialism, nostalgia-proneness, style-consciousness and fashion-consciousness. A quantitative online survey of female-identifying participants (N = 515) was administered. All consumer orientations, except materialism, varied according to secondhand shopping frequency and store type. Orientations generally increased with shopping frequency. Nostalgia-proneness was associated with shopping at thrift stores, ecological-consciousness was associated with consignment stores and markets, and style-consciousness was consistent across shoppers for all store types.     

Fast-Expanding “Online” Markets in South Korea and China: Are They Worth Pursuing?

The online shopping craze in South Korea has been ongoing for more than a decade, but in China, online shopping is experiencing tremendous growth, with 64 million additional shoppers per year. Consumers in Asia are among the world's most prolific online shoppers. This study compares the evolution, cycle, and stages of the online shopping markets in South Korea and China. Using the fast-expanding market model as an initial analytical framework and multiple case approach, we find that Chinese online shopping corresponds to the take-off stage of a successful cluster, in which significant opportunities are still present in Chinese Tier 3 and Tier 4 cities. Conversely, the South Korean online market is nearing saturation, though major foreign players are still entering this perceived lucrative marketplace. © 2016 Wiley Periodicals, Inc.     

我国网络购物乱象的经济学分析

网络购物产业在我国发展迅猛,具有广阔的市场前景。但同时网络购物乱象丛生,诸如商品质量、诚信缺失等问题损害了消费者权益,也成为抑制网络购物产业快速健康发展的桎梏,引发社会普遍关注。本文运用经济学理论分析网络购物乱象背后的经济原因,并据此提出化解网络购物乱象、促进产业健康发展的政策建议。     

‘Online Omnivores’ or ‘Willing but struggling’? Identifying online grocery shopping behavior segments using attitude theory

The landscape of grocery shopping is changing fast. Online retailing via home delivery or ‘click and collect’, convenience stores and various hybrid shopping channels are gaining popularity with some consumers, but not with others. The central premise of this paper is that focusing on the ‘average grocery shopper’ is not very helpful if the objective is to understand recent and future changes in grocery shopping. There are few recent studies that have identified groups of individuals using online and multi-channel shopping by considering both observable behavior and associated attitudes – feelings, beliefs, opinions and behavioral dispositions – and by drawing explicitly on attitude theories from social psychology. The current paper thus aims to identify and describe groups of grocery shoppers using a psychographic segmentation approach that is explicitly grounded in the Theory of Planned Behavior (TPB) (Ajzen, 1991) and its close cousin, the Technology Acceptance Model (TAM) (Davis et al., 1989). Primary data were collected through a self-completion questionnaire that produced a largely representative study sample of 2032 grocery shoppers across the United Kingdom, Europe's largest market for online grocery shopping. A principal component and two stage cluster analysis methodology was implemented to identify five well-defined and highly interpretable segments according to their attitudes, norms, perceptions and beliefs, then profiled by their socio-economic and grocery shopping characteristics. The segments reveal a range of different grocery shopping preference levels, from those ‘super-shoppers’ (Flynn and Goldsmith, 2016) who are clearly attracted to the online experience and want more (‘Intensive Urbanites’, ‘Online Omnivores’) to those who appear resistant and socially responsible towards the adoption of online shopping services (‘Resisting and Responsible’). The key distinguishing features of these segments suggest that shoppers might be attracted to or repelled from online shopping for reasons of convenience, perceived benefits, costs and risks, technology affect, time pressures and fit into daily schedules (perceived behavioral control), as well as social and environmental dimensions of personal norms and beliefs.     

The role of fashionability in second-hand shopping motivations

Second-hand consumption has been quietly undergoing a makeover in recent years. As part of this shift, the concept of shopping for second-hand goods has been redefined. In today's retail marketplace, a mix of thrift stores, high-end stores, and online retailers are recognising the value of second-hand and hosting flea markets or launching their own vintage product collections. However, limited research attention has been paid to role of ‘fashionability’ as a motivation for consumers to shop for second-hand goods. In this study, we explore modern consumer second-hand shopping behaviour and motivations, inclusive of fashionability. Through a segmentation of second-hand store shoppers, we identify four distinct segments. While we find a polarisation of fashionability motivations, the vast majority (83%) of second-hand shoppers are driven by fashion when shopping in second-hand stores. The findings present several implications for second-hand retailers, including new ways to expand their customer base by tapping into elements of fashionability.     

U.S. online shopping: Facts,fiction, hopes and dreams

Much online shopping research has been viewed from the seller׳s side, i.e., volume, timing and the like. This paper looks at online shopping/buying from the buyer׳s view. Based on 285,000+ individual responses from an online U.S. panel, the questionnaires, gathered between 2006 and 2013, form the analytical base. Findings include an increase in online shopping volume among a declining customer base. Consumer reported details such as leading online retailers (Amazon.com), online product preferences, comparisons of online and fixed location research and buying scenarios, buying influences and the like are discussed. Managerial implications and suggestions for future research are included.     

Drivers of consumer adoption of e-Commerce: A meta-analysis

E-commerce has significantly reshaped consumers’ shopping processes and habits. The need to understand the key drivers of online shopping has received keen attention and fueled a rich strand of studies. To help managers and researchers synthesize this growing body of evidence, we conducted a comprehensive meta-analysis to unearth the factors that influence consumers’ online shopping. Our main takeaways reveal that the most important drivers of online shopping (a) conform to the TAM and TPB theories, in addition to (b) website characteristics and past experience. In particular, the multiple predictors are strongly related to online purchase intentions and purchase behavior, where attitude and convenience show the strongest impact. Furthermore, moderator analyses indicate that cultural traits have specific moderating effects on the links between purchase intention and some of its drivers. For instance, power distance and uncertainty avoidance have a positive effect, while individualism, indulgence and masculinity have a negative one. Finally, we apply meta-analytic structural equation modeling to test a conceptual framework including four groups of drivers (consumer–channel interactions, website characteristics, social influence, and consumer characteristics) and different aspects of online shopping. The findings provide valuable insights for online shopping research and practice.