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.     

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.     

Electronic Commerce Encourages Differentiation

Abstract

This paper explores why and how ecommerce firms differentiate their products and services. Consumers who shop online are able to do quick and easy comparison shopping, including shopping in an active market for used goods. Since online product search and price comparisons are faster, easier, and involve fewer shopping costs, firms who sell online must differentiate their products and services to a greater extent than those who do not sell online. These product and service differentiations may be certified and rated by host shopping sites and by outside ratings companies.     

Online shoppers' response to price comparison sites

Customers' perceptions of price differ in the online environment due to the presence of price comparison sites. The purpose of this study is to examine how price comparison sites affect price and value perceptions of online shoppers across different product types and price consciousness levels of online shoppers. The results of the study indicate that the price information provided by an online price comparison site influences online shoppers' perceptions of internal reference prices. However, the influence of a price comparison site on value perception differs according to product type. As evidenced by the significant interaction effect between product type and price comparison site information, the presence of price comparison sites increases both transaction and acquisition value perceptions for the non-look-and-feel product category (e.g., notebook computers), but not for the look-and-feel product category (e.g., jeans). Contrary to the expectation, online shoppers' price consciousness influences their price and value perceptions independently of price comparison site information.     

Comparing online and non‐online shoppers

A web‐based survey was completed by 130 faculty and staff from a university located in the south‐eastern United States. The purposes of this study were to investigate: (a) consumer characteristics related to online shopping; (b) benefits of online shopping as perceived by online shoppers; and (c) concerns about online shopping as perceived by non‐online shoppers. Responses were analysed using SPSS for tests of chi‐square. Findings suggest that the differences between online shoppers and non‐online shoppers correspond with Rogers’ 1 categories of adopters, and that the educational needs of consumers also differ based on their previous experience with online shopping.     

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.     

‘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.     

Online Shopper Reviews: Ramifications for Promotion and Website Utility

Today's consumers are empowered with online shopper reviews which are mostly written and posted by buyers, customers, users, or visitors at a website. Shopper reviews will become more popular and ubiquitous in e-tailing in the near future. However, the marketing literature is still limited when it comes to knowledge of how shoppers perceive and use online reviews in their purchase decisions. Hence, this study explored shoppers’ predispositions toward positive or negative reviews and examined the impact of consumers’ attitudes and usage patterns on their perceived helpfulness and credibility of online shopper/peer reviews. One interesting finding from our study of 342 online shoppers was that consumers who would pay greater attention to positive reviews gave reviews more credible and usefulness ratings than their counterparts who would focus on the negative reviews.     

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.     

Role of Shopping Values and Web Atmospherics in E-Satisfaction and Repurchase Intention

Expected to touch US$55 billion in 2016, the e-commerce market in India presents an unprecedented growth opportunity for retailers. Existing studies have identified factors influencing shoppers’ online behaviour pertaining to the developed economies. Hence, it becomes pertinent to validate these antecedents for the economies like India. The article addresses this gap by examining the role of shopping values and web atmospherics, on e-satisfaction of Indian shoppers. Using multiple regression analysis, it also examines the influence of e-satisfaction on repurchase intention. The findings suggest that effectiveness of information content has the most significant impact on e-satisfaction. Web entertainment, utilitarian values and web informativeness are the other influencing factors. Contrary to the earlier studies, this study didn’t find any influence of hedonic shopping values on shoppers’ satisfaction. Also, e-satisfaction was found to have a positive influence on repurchase intention of e-shoppers. The article suggests select strategies that can be adopted by e-retailers.     

Consumer Acceptance of Item Price Removal: A Survey Study of Milwaukee Shoppers

A survey was conducted of 193 Milwaukee food shoppers to determine their experiences and opinions relating to item price removal (IPR) in supermarkets. The principal findings were that opinions of IPR were related to experiences with shopping in IPR environments, extent of price comparison behaviors, and certain demographic variables. Most of the respondents thought retailers should supply a price-marking instrument to shoppers. A majority of the respondents who had not shopped in an IPR store said they would switch stores if their current store removed prices. However, only one-quarter of the respondents who had shopped in an IPR store changed stores and price removal was of secondary importance in this decision. Overall, respondents were evenly split on the need for legal controls in IPR, but respondents who had not shopped in an IPR store and who were from disadvantaged households (with regard to age, income and/or education) were more likely to see a need for legal controls. The findings of this study and ones conducted in other cities suggest that the primary public policy issue is not whether or not item prices should be removed. Rather, the issue is what is the best method of providing shoppers with price comparison information.     

Online Price Search: Impact of Price Comparison Sites on Offline Price Evaluations

Consumers increasingly rely on Internet price comparison sites (PCS) to gain knowledge about the market. The prices generated by a PCS search can act as contextual reference prices and influence the attractiveness of prices encountered later as consumers shop offline at local stores. This paper demonstrates that both PCS retailer ratings and the shape of the PCS price distribution influence the impact of PCS search results on later price evaluations. A favorable PCS retailer rating increases the perceived validity of the price associated with that retailer, enhancing the impact of that PCS price on offline price evaluations (Study 1). The shape of the PCS price distribution can also influence later price evaluations, however this effect depends on the information provided by the PCS retailer ratings. When PCS retailer ratings are similar, implying similar validity for the associated prices, low PCS prices and those appearing more frequently in the PCS price distribution have more impact (Studies 2 and 3). When PCS retailer ratings are variable (some high and some low), the PCS price distribution effect occurs only when the PCS retailer ratings provide congruent information about price validity — that is, the most frequent price is offered by retailers with more favorable ratings. Study 3 shows that price validity inferences do mediate this result. Finally, we depart from the offline shopping context to show that when consumers choose a retailer directly from the PCS search results, the effect of PCS retailer ratings is stronger for high-priced retailers and for consumers who rely less on the retailer price as a heuristic to infer retailer service level. Based on our findings we offer insights for online and offline retailers when considering strategic responses, such as price matching guarantees.     

Consumer Decision Making on the Web: A Theoretical Analysis and Research Guidelines

Recent empirical data on online shopping suggests that consumers have the potential to make better quality decisions while shopping on the web. But whether such potential is being realized by most consumers is an unresolved matter. Hence, the purpose of this research is to understand how (1) certain features of electronic environments have a favorable effect on the abilities of consumers to make better decisions, and (2) identify information‐processing strategies that would enable consumers to make better quality decisions while shopping online. A cross‐disciplinary theoretical analysis based on constructs drawn from economics (e.g., time costs), computing (e.g., recommendation agents), and psychology (e.g., decision strategies) is conducted to identify factors that potentially influence decision quality in electronic environments. The research is important from a theoretical standpoint because it examines an important aspect of online consumer decision making, namely, the impact of the electronic environment on the capabilities of consumers. It is important from both a managerial and public policy standpoint because the ability of shoppers to make better quality decisions while shopping online is directly related to improving market efficiency and enhancing consumer welfare in electronic markets.     

Segmenting consumer decision-making styles (CDMS) toward marketing practice: A partial least squares (PLS) path modeling approach

The way consumers make decisions across online and offline channels according to their perceptions of retailers׳ marketing practices is not well understood in the current literature. A few empirical studies have examined consumer decision-making styles (CDMS) and marketing practice among online and shopping mall consumers. This research endeavors to understand CDMS as market segments on the perception of marketing practice across retail channels. A total of 315 online and paper–pencil-questionnaires were collected to conduct the statistical analysis for the measurement and structural model using the partial least squares (PLS) path modeling approach, a structural equation modeling (SEM) technique. Six consumers׳ characteristics–perfectionist, brand consciousness, price conscious, fashion conscious, recreational and impulsive shoppers–were assessed in respect of retail products, price, advertising and retailing across-channels. The study contributes to retailing management by enabling it to implement effective retail segmentation and cross-channel strategy according to CDMS. The study limitations and implications are discussed.     

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.     

The intention to click on sponsored ads—A study of the role of prior knowledge and of consumer profile

The activity of e-tailers relies entirely on their ability to attract potential consumers to their websites. This research addresses online consumer reactions toward today’s major online advertising tool that is sponsored ads. It examines the moderating role of prior knowledge. An online survey is conducted on 272 actual Internet users. The results support the moderating role of prior knowledge and suggest that when Internet users are knowledgeable of sponsored links and hold a favorable attitude toward them, the positive impact on click intention is reinforced. The profile of favorable surfers is very close to the one of online shoppers.     

Christmas on the Web: 1998 vs. 1999

The 1998 Christmas season established the Internet as a viable consumer sales channel; a year later, the holiday season brought increasing numbers of shoppers to the Web. By relating the insights of the Diffusion of Innovation model and of Expectancy-Disconfirmation theory to the results of a number of surveys of Web shoppers, the present paper considers why 1999 online shoppers may have been harder to satisfy than were their cyber counterparts in 1998. The paper also discusses the efforts e-tailers made to deal with the more mainstream consumers of 1999, and how the appearance of the sites evolved during the period between the two holidays.     

Consumer perceptions of online shopping environments: A gestalt approach

Although Web pages and sites consist of a multitude of individual cues, this paper argues that marketers need a gestalt approach to understand how consumers perceive online shopping environments. Following a systematic review of the literature on categorizations of online shopping environments, this paper develops and tests a gestalt model of consumer perceptions of online shopping environments. The model shows that consumers perceive online shopping environments in terms of their sense‐making and exploratory potential. It encompasses perceptions at the level of both individual pages and the experience consisting of the navigation through a succession of pages accessed during one visit. It also accounts for the informational needs all shoppers possess, reflected in the central role of information in online shopping environments. The model confirms the importance of the three main categories investigated in the literature (ease of understanding, informativeness, and involving qualities), but provides a theoretically grounded explanation of how consumers perceive online shopping environments holistically. It can form a basis from which to envisage organismic and behavioral responses. ©2010 Wiley Periodicals, Inc.     

Which little piggy goes to market? Characteristics of US farmers' market shoppers

The growth in farmers' markets in the US has raised questions about whether they are a niche market or appeal to a broader population. Using a simple, random sample of US food shoppers, this study uses a test of means to examine whether there are differences in characteristics between those who shop at farmers' markets and those who do not. A key finding was that there was no significant difference in the level of food expenditures between shoppers and non‐shoppers. In addition, a probit model was used to examine the marginal effects of attitudinal, behavioural and demographic variables on the probability of shopping at a farmers' market. The probability was significantly increased by the following: enjoyment and frequency of cooking, being female and the presence of another adult in the household. Income did not significantly influence the probability of shopping at a farmers' market. However, the probability of shopping at a farmers' market was significantly reduced if respondents perceived that cost was the most important characteristic of food. These characteristics imply limited appeal of farmers' markets currently to convenience‐oriented, single‐person, and single‐parent households.