Fundamental basket size patterns and their relation to retailer performance

This study uses a sample of approximately 60,000 US households to document fundamental shopping basket size patterns across a range of retail types, and examines them in relation to retailer performance metrics (unit sales and dollar revenue). Specifically, this research addresses two main questions: 1) how do shopping basket metrics (mean and median number of items, the distribution of one, two, three … n items) differ by retail type, and 2) how does the Pareto ratio (sales generated by the heaviest 20%, and lightest 80% of buyers) apply to shopping baskets. The results show that basket size patterns in retailers are predictable. Shoppers purchase more items on average in retailers that offer a greater variety of items, and the distribution of basket sizes follows the Poisson lognormal model. The results also show that the largest 20% of shopping baskets on average generate 50% of unit sales, and 40% of dollar revenue. These results set additional benchmarks of the patterns that can be expected when looking at data on a basket-level. This research offers implications to practitioners by showing the importance of small and large baskets for retailer revenue and growth, which can guide more informed decision making to better manage their stores and brands.     

Consumer product search and purchase behaviour using various retail channels: the role of perceived retail usefulness

The purpose of this study was to examine the influences of consumers' perceptions of retail usefulness for product information search and their previous purchase satisfaction on their frequencies of product information search and product purchase behaviours for apparel products. These relationships were investigated in five retail settings – Internet shopping, catalogue shopping, television shopping, local retail shopping, and non‐local retail shopping. One hundred seventy‐six students in a US Midwestern university provided usable responses. The results of causal model analyses showed that the proposed model fits the data well for all five retail channels. Consumers who perceived a certain retail channel more useful for product information search searched for product information more frequently via that retail channel, and purchased products more often via that retail channel. Consumers who were more satisfied with apparel purchases from a retail channel purchased the products more frequently via that retail channel. Theoretical and managerial implications are discussed.     

Search,purchase, and satisfaction in a multiple-channel environment: How have mobile devices changed consumer behaviors?

The rapid adoption of smartphones and increasing reliance on the mobile Internet is influencing consumers’ shopping behavior with traditional Internet devices (e.g., desktop and laptop computers) and in stores. This research examines the effects of consumer perceptions of channels (i.e., mobile devices, computers, and offline stores) on their choices of search channels, purchase channel, and satisfaction level with the purchase channel. Using survey data from a sample of U.S. consumers, we find supplemental effects of mobile devices on computers do not alter the traditional substitution relationship between computers and stores during the search. The cross-channel effects indicate that perceived purchase benefits and costs of stores affect the purchase channel selection of mobile devices and computers, respectively. Satisfaction levels were highest when purchases were made on mobile devices. The insights from this study can help managers increase the effectiveness of advertising in different media and target distinct segments of consumers who rely on multiple channels for search and purchase.     

A Next Generation Multimedia Call Center for Internet Commerce: IMC

Human assistance, as well as automated service, is necessary for providing more convenient services to customers on the Internet-based commerce system. Call centers have been typically human-based service systems. However, the services of existing public switched telephone network-based call centers are not enough to meet the needs of customers on the Internet. Most of them have been designed without considering the interaction involved in shopping on the Internet. In our research, we design a call center named IMC (Internet-based multimedia call center) that can be integrated with an Internet shopping mall. It contains 2 parts: an Internet multimedia dialogue system and a human agent assisting system. The Internet multimedia dialogue system is an Internet and multimedia version of the interactive voice response service of computer telephony integration-based call centers because it provides access to the multimedia Web page along with the recorded voice explanation through the Internet. The human agent assisting system aims to select the most appropriate human agents in the call center and support them in providing high-quality individualized information for each customer. IMC is a real-time, human-embedded system that can provide high-quality services cost-effectively for Internet commerce.     

Channels for search and purchase: Does mobile Internet matter?

Recent industry reports indicate that consumers own four digital devices on an average, and switching devices during shopping is the “new normal.” The addition of mobile Internet as a new channel of search and purchase has spurred the adoption of the digital medium, and easy accessibility of the Internet on multiple devices is influencing shopping patterns. A consumer may prefer some channels for search and others for purchase or use a combination of channels to search and purchase simultaneously. As a new channel, it is unclear 1) whether mobile Internet offers greater search or purchase benefits and 2) what type of products are more suitable for mobile Internet search and purchase. In this study, we develop a framework that describes the factors that drive the use of mobile Internet in a multi-channel environment. We test the framework using survey data from a sample of U.S consumers. The main findings from our study indicate that 1) the choice of channel combinations that include mobile relative to other channel combinations increases with an increase in perceived search convenience of mobile channel. 2) in the digital channel, mobile and desktop differ in their utility along search dimensions. The probability of choosing channel combinations that include mobile increases due to search convenience whereas desktop is attractive due to perceived gains of price comparison search; and 3) mobile Internet search increases for consumers searching for utilitarian products. The insights from this study deepen our understanding of how digital media is used in the search-purchase process and have important managerial implications.     

Omnichannel marketing: Are cross-channel effects symmetric?

The rapid growth in omnichannel (e.g., Web, call center, sales agent, store) shopping and the need to effectively allocate resources across channels are prompting managers and researchers to better understand cross-channel effects, that is, the effects of marketing efforts in one distribution channel on shopping outcomes in other channels. We develop a broad set of hypotheses about cross-channel effects based on channel richness and influence roles (informative, persuasive). To test the hypotheses, we model the effects (own and cross) of channel marketing efforts on shopping outcomes in different channels through a simultaneous equation system. We estimate these models using data from the auto insurance industry that comprises the exclusive agent, the independent agent, the Web, and the call center channels. Our results offer novel insights. They show that cross-channel effects and elasticities are significant and asymmetric. While the effect of marketing efforts in a channel on shopping outcomes in a dissimilar (with a different primary influence role) channel is positive (e.g., exclusive agent, the Web, and the call center channels are complementary), the magnitudes of the cross-channel effects are asymmetric. Similarly, while the effect of marketing efforts in a channel on shopping outcomes in a similar (with the same primary influence role) channel is negative (e.g., independent agent and exclusive agent channels are substitutional), they are also asymmetric. Exclusive agent efforts have a greater negative effect on the outcomes of independent agent efforts than vice versa. Based on the results, we develop a channel influence vs. influenceability analysis tool for managers to better plan their channel efforts. We also illustrate a resource allocation model that shows substantial incremental profits from the reallocation of marketing efforts based on our model with cross-channel effects relative to a model without cross-channel effects.     

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.     

Retail Market Power in a Shopping Basket Model of Supermarket Competition

Supermarket retailers typically operate with relatively low margins, suggesting a highly competitive retail environment. However, despite the fact that consumers purchase an entire shopping basket at a time from supermarkets, this evidence is largely based on models of retail competition with single-category purchases. In this paper, we develop and test an empirical model of retail price competition that explicitly accounts for the effect of demand complementarity among items in consumer shopping baskets. Relative to the case where consumers purchase products with independent demands, we demonstrate that equilibrium prices are higher for all items when retailers take demand-complementarity into account. Our findings indicate that non-price strategies intended to encourage complementarity, such as co-merchandising, strategic shelf-positioning, or featuring complementary goods tend to soften price competition, and lead to higher equilibrium prices.     

Analyzing channel choice: Direct and indirect e-Tourism distribution

ABSTRACT

An increasing number of tourism service providers are involved in multichannel operations, combining online direct and indirect channels. Service providers and intermediaries need to know what drivers lead consumers to purchase on both channels in order to discover their own potential for differentiation and develop appropriate strategies. This research presents and tests a distribution channel choice model applied to data obtained by a survey aimed at online tourism purchasers. Not surprisingly, the results find that the Internet mitigates the differences between direct and indirect online channels from the demand perspective. Only one variable, information provided, has a positive effect on the choice of the direct channel, while two variables, assortment and basket size, have a positive effect on the choice of the indirect channel.     

Consumers’ channel choice for university-licensed products: Exploring factors of consumer acceptance with social identification

This research investigated a modified-technology acceptance model (TAM) with two added antecedents (e.g., information search motivation and perceived risk) to examine whether online shopping channels would be adopted by college students, the main target market of university-licensed products (ULP). Moreover, this study tried to adopt the social identity theory to fit a modified TAM model to explain the role of identification with a university on the attitude toward shopping for collegiate products. This research surveyed college students from two large Midwestern universities and utilized structural equation modeling (SEM) to test the hypotheses in a conceptual framework. As expected from previous TAM research, two specific behavioral attributes explained students’ adoption of online channels. Moreover, the results showed that both information search motivation and perceived risk have significant positive effects on attitude toward shopping via online channels. Specifically, the students who have strong information search motivation from concerns about online shopping had a higher level of online channel purchase intention. In addition, the attitude toward ULP online shopping formed by the antecedents gave a different level of purchase intention about the multiple distribution channels. The results suggest that retailers in the ULP industry should build efficient multi-channel strategies by adopting online channels.     

Integrating Bricks with Clicks: Retailer-Level and Channel-Level Outcomes of Online–Offline Channel Integration

This research examines the impact of online–offline channel integration (OI), defined as integrating access to and knowledge about the offline channel into an online channel. Although channel integration has been acknowledged as a promising strategy for retailers, its effects on customer reactions toward retailers and across different channels remain unclear. Drawing on technology adoption research and diffusion theory, the authors conceptualize a theoretical model where perceived service quality and perceived risk of the Internet store mediate the impact of OI while the Internet shopping experience of customers moderates the impact of OI. The authors then test for the indirect, conditional effects of OI on search intentions, purchase intentions and willingness to pay. Importantly, they differentiate between retailer-level and channel-level effects, thereby controlling for interdependencies between different channels. The results of three studies provide converging evidence and show that OI leads to a competitive advantage and channel synergies rather than channel cannibalization. These findings have direct implications for marketers and retailers interested in understanding whether and how integrating different channels affects customer outcomes.     

Adoption and usage of online shopping: An empirical analysis of the characteristics of “buyers” “browsers” and “non-internet shoppers”

We empirically study and model how socio-demographic variables, attitudes and beliefs towards Internet shopping affect both the adoption decision and usage of the online shopping channel. Previous research on online shopping focuses on whether to adopt online shopping. This paper extends this research by delineating non-adopting individuals into non-browsing and browsing. Our results demonstrate that there is a fundamental behavioural difference between three forms of behaviour: that is, those that purchase online, those that browse online but then purchase in-store and those that do not shop online at all.     

The role of the Internet on free-riding: An exploratory study of the wallpaper industry

This study discusses the role of the Internet on possible free-riding activities for product categories where retail services are a critical part of the completed consumer purchase transaction. The study investigates free-riding in terms of consumer pre-purchase activities during the information search stage (how they process shopping information) and actual purchase decisions with a literature review. The study's empirical findings indicate that full-service retailers’ beliefs about online consumers’ choice of purchase outlet are predominantly influenced by online retailer prices rather than availability of a variety of products (place) on the Internet. This, in turn, indicates the possibility of strong free-riding opportunities in the sample wallpaper market. The study, in this context, proposes strategies and policies to eliminate many of the destructive effects of the opportunities for free-riding provided by the Internet for long-lasting channel and market effectiveness and efficiency.     

Linking multi-channel customer behavior with shopping motives: An empirical investigation of a German retailer

Operating multiple channels, in store as well as non-store, allows a retailer to cater to the different shopping motives of its customers. This research into the buying behavior of 525 customers of a multi-channel retailer that operates five channels in Germany shows that most customers use only one channel within a buying process, selecting the channel that best satisfies their shopping motives in each situation. Based on exploratory qualitative and quantitative research, this study identifies five shopping motives: “recreational orientation”, “convenience orientation”, “independence orientation”, “delivery-related risk aversion” and “product- and payment-related risk aversion”. In the majority of the store channels examined in this study (chain stores and bakeries), single-channel users primarily look to satisfy emotional and social needs. Single-channel users of non-store channels (catalogue and online-shop) look for convenience and strive for independence. Multi-channel users, who obtain their information from the online-shop and then make their purchase in the chain store, are combining the independence of online-shop information with the reduction of risks associated with buying products in the chain store. These findings can be used to develop recommendations for managing the individual channels.     

How Do Customers Alter Their Basket Composition When They Perceive the Retail Store to Be Crowded? An Empirical Study

Using data from a large-scale field study, we show that (perceptions of) crowding change(s) the composition of a consumer's shopping basket. Specifically, as shoppers experience more crowding, their shopping basket contains (a) relatively more affect-rich (“hedonic”) products, and (b) relatively more national brands. We offer a plausible dual-process explanation for this phenomenon: Crowding induced distraction limits cognitive capacity, increasing the relative impact of affective responses in purchase decisions. As we are the first to show that level of crowding relates to what shoppers buy (at both product and brand level), the implications of these effects for retailers are discussed.     

Apparel acquisition via single vs. multiple channels: College students’ perspectives in the US and China

Drawing on both the diffusion of innovation and market channel literature, this study compared college students from China and the US regarding predictors of channel choice. Moreover, the research identified barriers impeding use of non-store channels. Logistic regression analyses indicated that intention to use multiple channels is positively related to convenience orientation and Internet connectivity in the Chinese sample, and negatively related to age in the US sample. Content analysis revealed the primary barrier to catalog shopping was that respondents could not see how clothing looked in three dimensions; for Internet shopping, it was the difficulty in assessing clothing quality.     

The Influence of Consumers’ Cognitive and Psychographic Traits on Perceived Deception: A Comparison Between Online and Offline Retailing Contexts

In this article, we examine the role of several consumers’ cognitive and psychographic traits in their perceptions of retailers’ deceptive practices (perceived deception) and the different effects on perceived deception associated with online vis-à-vis in-store shopping. Building on theoretical models of persuasion in consumer behavior, we hypothesize that the antecedents of perceived deception in traditional settings are the same as those on the Internet, while the intensity of the impact of these antecedents differs between the online and the offline environment. Results suggest that the effects of individual’s cognitive traits (Internet-based information search and perceived Internet usefulness) and risk aversion on perceived deception are more relevant when consumers shop online than when they purchase from traditional stores. Conversely, psychographic traits (shopping enjoyment and materialism) play a more important role in explaining perceived deception in the traditional shopping context as compared to the online channel. Several theoretical and managerial implications are derived from these findings.     

Billion Dollar Baby: Local Foods and U.S. Grocery

This study reviews consumer purchasing of locally produced foods in retail grocery stores. A U.S. sample of 590 consumers was drawn via an online survey, with structural equation modeling used to assess hypothesized relationships of attitude, subjective norms, perceived behavioral control, intention to purchase, extent of purchase, and the moderating effects of shopping channel type. Results from structural model testing suggested that all hypothesized relationships except that of purchase intention and extent of purchase were found to be significant, with group differences existing between supercenters/warehouses and farmers’ market shopping channels. Implications and future research directions are provided.