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.     

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.     

shopper taxonomy for retail strategy development

Segmentation of shoppers has been explored by many academic researchers and business practitioners seeking to understand shopping behaviour or to develop marketing strategies for particular customer groups. Market segmentation holds the key to successful marketing strategy as it encourages understanding of the key variables that differentiate specific segments.

The shopper taxonomy determined through this study is based on a set of variables that is relevant and appropriate for shopper segmentation and reflects the key aspects important to shoppers in motivating shopping behaviour towards a specific retail location. This taxonomy extends the proposed motivational taxonomy of Westbrook and Black (1985), derived from Tauber's (1972) earlier research. Westbrook and Black defined this taxonomy through shopping motives, and identified categories of product-oriented, experiential and a combination of product and experiential shoppers. Their research findings, however, pointed to a six-cluster typology, defining department stone shopping around seven motivations aligned with evaluating options and acquiring the products, engaging in the sales process and gaining stimulation and affiliation through the retail environment.

The “apathetic”, “shopping-processed involved” and “choice optimisation” shopper segments described by Westbrook and Black align with the “have to” “experiential” and “practical” “segments found in this study in terms of their focus on the shopping activity itself and the affiliation and stimulation motives associated with the shopping activity. Other associations between shopper segments across the two studies are less clear, and may be explained through the differing purposes for which the studies were undertaken and resulting variation in the measures used to define the motivational constructs.     

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.     

Shopper-Facing Retail Technology: A Retailer Adoption Decision Framework Incorporating Shopper Attitudes and Privacy Concerns

Continual innovation and new technology are critical in helping retailers’ create a sustainable competitive advantage. In particular, shopper-facing technology plays an important role in increasing revenues and decreasing costs. In this article, we briefly discuss some of the salient retail technologies over the recent past as well as technologies that are only beginning to gain traction. Additionally, we present a shopper-centric decision calculus that retailers can use when considering a new shopper-facing technology. We argue that new technologies provide value by either increasing revenue through (a) attracting new shoppers, (b) increasing share of volume from existing shoppers, or (c) extracting greater consumer surplus, or decreasing costs through offloading labor to shoppers. Importantly, our framework incorporates shoppers by considering their perceptions of the new technology and their resulting behavioral reactions. Specifically, we argue that shoppers update their perceptions of fairness, value, satisfaction, trust, commitment, and attitudinal loyalty and evaluate the potential intrusiveness of the technology on their personal privacy. These perceptions then mediate the effect of the technology on shopper behavioral reactions such as retail patronage intentions and WOM communication. We present preliminary support for our framework by examining consumers’ perceptions of several new retail technologies, as well as their behavioral intentions. The findings support our thesis that shopper perceptions of the retailer are affected by new shopper-facing technologies and that these reactions mediate behavioral intentions, which in turn drives the ROI of the new technology.     

Validating Bluetooth logging as metric for shopper behaviour studies

The ability to track shoppers as they move through retail environments using signals emitted by their communication devices kindles the interest of practitioners and researchers. This data collection method is cheap and has the ability to supply big data for shopper insights. However, this non-probabilistic sampling method can possibly under- or over-represent certain groups of the shopper population. This study assesses the validity of the data describing the length of shopping trips and representativeness of the sample of shoppers carrying Bluetooth-enabled devices. The authors track unique Bluetooth logs in-store and compare to simultaneously collected data from a manual, systematic sample of 324 shoppers observed and interviewed in the same supermarket. A comparison of the results obtained from the two samples (auto-logging and manual systematic) drawn from the same population indicates automated Bluetooth tracking produces very similar (r=.92, p<.001) trip lengths to that observed manually. Basket size, spend and occupation of Bluetooth trackable shoppers are similar to those with no Bluetooth-enabled devices. These findings present compelling evidence that the Bluetooth auto-logging method holds great potential for retail practice and research. An expected under-representation of the oldest demographic (66 y.o. and over) in the Bluetooth discoverable sample calls for complementary methods of data collection to minimise representation bias in real-time tracking technologies for shopper research. The benefits of using auto-logging data describing shopping trip length for retail practitioners and researchers are discussed.     

The interaction of retail density and music tempo: Effects on shopper responses

Research examining the effects of store environment on shoppers has found that a number of atmospheric cues have significant effects on shoppers' cognitive, affective, and behavioral responses. To date, retail atmospheric cues have been studied in isolation, instead of simultaneously, like they occur in the retail setting. This study examines the interactive effects of two atmospheric cues—retail density and music tempo—and their impact on shopper responses within a real shopping environment. Based on the schema incongruity model, it is found that shopper hedonic and utilitarian evaluations of the shopping experience are highest under conditions of slow music/high density and fast music/low density. Significant main effects of music tempo are found for behavioral responses such as approach/avoidance tendency and extent of browsing behavior. The results underscore the need to examine interactive effects of atmospheric cues to better understand the impact of the store environment on shoppers. © 2005 Wiley Periodicals, Inc.     

Shoppers' Reactions to Supermarket Price Scanning and Shopper Price Marking

Supermarkets are starting to adopt price scanning checkouts. Other supermarkets, both scanner equipped and non-scanner equipped, are removing individual item prices. Although much has been written, especially in the retail trade press, about the advantages to retailers of scanner check-outs little attention has been paid to shopper reactions. This study sought to determine the attitudes and behavior of shoppers at scanner equiped supermarkets. Some user reactions to self-price marking of purchases was also determined.     

Profiling shoppers’ coping behaviours during a pandemic crisis: A regulatory focus perspective

Using the regulatory-focus theory (i.e. promotion- and prevention-focused concepts), the research investigates shoppers' positive/negative coping behaviours and segmentation linked to COVID-19. Supported by an online survey with 213 shoppers conducted after the first national lockdown (March 2020), factor analysis identified a set of four shopping factors meaningful to profile shoppers’ coping behaviours and segmentation. Positive coping is represented by quality-, price- and brand-focused shopping factors, whereas negative coping is represented by store-focused. The resultant three shopper segments are known as the mindful shopper (positive and negative coping), and the indulgent and the optimal shoppers (more positive coping).     

Why shopping pals make malls different?

The present study examines the effects of the specific type of ompanion a shopper shops with (i.e., friend versus family member) on the emotional attachment to malls. The study aims to explain this influence through two potential mediators, that is, shopping arousal, and shopping apprehension, the relevance of which has been shown in the extant reviewed psychosocial literature. The emotional attachment of shoppers to their mall depends on whom they are shopping with: shopping with friends affects both shoppers' arousal and apprehension. Only arousal mediates the relationship between shopping pal and mall attachment. Our findings provide new insight on the psychological processes explaining the relation shoppers develop with their shopping environment and give retail managers guidelines for increasing shoppers' attachment to their malls.     

Understanding the older shopper: A behavioural typology

With regard to the contemporary retail environment, to date, the older shopper has been afforded limited academic attention, which is somewhat surprising given the growth of this population in the UK. Consequently, this study presents an empirically derived typology of older grocery shoppers through the application of salient retail attributes and store image dimensions developed through extensive qualitative research techniques. The findings provide an important contribution towards better understanding differences in shopping behaviour amongst older consumers. The identification of six distinct shopper types, including three new distinct groups, contributes to theory, whilst a number of potential implications for retail managers are explored in light of the findings.     

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.     

Satisfaction,loyalty and repatronage intentions: Role of hedonic shopping values

Today the Indian traditional retail shopper visiting various hypermarkets formats for purchasing and enjoying their valuable time with their family members and friends, as these formats offer hedonic shopping values. Therefore, this research paper focused on hypermarket shoppers of central India and the main objective of this study is to identify the role of hedonic shopping values on creation of satisfaction, loyalty and repatronage intentions with the help of proposed research framework based on 329 responses. Confirmatory factor analysis and structural equation modeling (SEM) is use to analyze and validate the proposed research framework. The result supports the relationship between hedonic shopping values with customer satisfaction, loyalty and repatronage intentions. The study also demonstrate the moderating role of gender on these relationship, which shows that both male and female consumer have different level of shopping behavior when it comes to see the influence of hedonic shopping values. Therefore, this research paper would help hypermarket retailers to design their retail store environment more attractively to maintain the optimum customer satisfaction level that enhance the loyalty and repatronage intentions in the customer in this current competitive retail scenario.     

‘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.     

In-store music and aroma influences on shopper behavior and satisfaction

Retail markets are increasingly competitive and retailers continuously look to differentiate their retail offering. One way to differentiate is by providing a pleasant and exciting shopping ambience. This paper experimentally tests the effects of music (volume high or low) and aroma (vanilla scent present/absent) on young fashion shoppers in a real retail setting. Results show that volume of music and the presence of a vanilla aroma both have a significant impact on shoppers' emotions and satisfaction levels. Additional analysis reveals that the arousal induced by music and aroma results in increased pleasure levels, which in turn positively influences shopper behaviors, including time and money spend, approach behavior, and satisfaction with the shopping experience. Direct effects of arousal on behaviors as well as an interaction effect between music and aroma on pleasure and time spent in the store are also present. The paper contributes to the better understanding of shoppers' emotions and shopper behaviors in response to in-store atmospherics and offers retailers practical insights into how to create competitive advantage by customizing the atmosphere in their stores.     

Buying Groceries in Brick and Click Stores: Category Allocation Decisions and the Moderating Effect of Online Buying Experience

The large majority of online grocery shoppers are multichannel shoppers who keep visiting offline grocery stores to combine convenience advantages of online shopping with self-service advantages of offline stores. An important retail management question, therefore, is how these consumers divide grocery purchases across the retailer's online and offline channel. We provide a comprehensive analysis of the impact of category characteristics on the allocation pattern of multichannel grocery shoppers and find that category allocation decisions are affected not only by marketing mix differences between the online and offline channel, but also by intrinsic category characteristics like perceived purchase risk and shopping convenience. In addition, we examine the effect of online buying experience. In line with expectations, we find that it can affect allocation patterns in different ways: (i) it attenuates the perceived risk of buying sensory categories online, thereby reducing differences in online category share, (ii) it reinforces marketing mix (assortment) effects, thereby making online category share differences more pronounced, and (iii) it has no effect for factors such as promotions that are easy to evaluate without experience, thereby leaving the online category share stable. In addition to different experience effects across allocation factors, we also observe variations in experience effects across consumer segments.     

Guest Editorial

Abstract

While some Internet-only retailers survive and prosper, for most, multichannel retailing provides a sustainable and attractive blend of new and existing retail formats. The complementary roles of stores and Internet are frequently noted, yet the renewed significance of catalogues is often ignored. This paper is based upon a survey of 2,341 shoppers across three product sectors and three shopping scenarios, identifying their relative utilization of, and attitudes towards, stores, catalogues and the Internet.

Principal component analysis and multi-attribute analysis (MAA) scores summarize attitudes across the three channels, sectors and motivational scenarios. Four major components in channel choice emerge consistently: risk reduction, product value, ease of shopping and experiential. K-Means clustering on preference and behavioural variables identifies the truly multichannel shopper segment. Key characteristics of these shoppers are summarized, demonstrating that the multichannel shopper comprises a large and mainstream segment. Implications are identified for retailers and researchers.     

Mobile Shopper Marketing: Key Issues,Current Insights,and Future Research Avenues

The intersection of mobile marketing and shopper marketing, known as mobile shopper marketing, is a rapidly evolving area. We formally define mobile shopper marketing as the planning and execution of all mobile-based marketing activities that influence a shopper along and beyond the path-to-purchase: from the initial shopping trigger, to the purchase, consumption, repurchase, and recommendation stages. However, not much is known about mobile shopper marketing. We plug this gap by first discussing mobile shopper marketing and its scope in depth and then presenting a process model that connects the mobile shopping journey with four key entities, i.e., shopper, employee, organization, and mobile technology. For each of these themes, we identify the challenges that offer future research opportunities.     

Retailer Marketing Communications in the Digital Age: Getting the Right Message to the Right Shopper at the Right Time

The evolving retail landscape in the digital age has resulted in opportunities and novel capabilities for retailers. This paper identifies four key challenges facing retailers based on insights from practitioners and academics using the customer journey framework as a guide. It then considers evidence from both practice and theory on how contemporary retailers might best innovate in the face of these challenges, to get “the right message to the right shopper at the right time.” Historically, retail was largely constrained to focus on individual touchpoints as manufacturers drove the majority of communication decisions. More recently, with the ability of e-commerce to capture the shopper decision journey more comprehensively, retailers are better able to understand what the right message would be as well as where, when, and how to deliver it to reach the most responsive shoppers to achieve the retailer’s strategic objectives in each phase of the journey. It is within this context that this paper considers the following key challenges: 1) When is the right time to communicate with a given shopper?, 2) What is the right way to communicate with a given shopper?, 3) What is the right way to leverage in-store collateral?, and 4) How do we cultivate the right long-term relationship with a shopper?     

Multichannel shopping: The effect of decision making style on shopper journey configuration and satisfaction

Prior research demonstrates links between the maximizing tendency in decision making and online shopping behaviour, with maximizers spending considerable time on their online shopping yet being somewhat dissatisfied with their shopping decisions. Our research extends prior knowledge to the multichannel shopping context. Multichannel shopper journeys are an important form of shopping, whereby the activities comprising a shopping event occur in more than one channel. Our quantitative study examines relationships between two dimensions of maximizing, maximization as a strategy and maximization as a goal, multichannel shopper journey configuration and subsequent affect. Maximization as a strategy directly and positively relates to the numbers of channel switches and of pauses in a shopper journey and to the use of product and retailer reviews. It is indirectly associated with increased counterfactual thinking and regret, and with decreased satisfaction. Maximization as a goal has no effect on multichannel shopper journey configuration or on affect. Our findings have managerial relevance for multichannel retailers. We demonstrate that product and retailer reviews are of particular importance to those employing maximization as a shopping strategy, as they mitigate against their increased tendency to engage in counterfactual thinking. As counterfactual thinking leads maximizers to increased regret and decreased satisfaction, multichannel retailers can improve shopper satisfaction by actively directing their customers to reviews. Shoppers using maximization as a strategy could be helped to configure their shopper journeys with fewer channel switches and fewer pauses, as these provide maximizers with opportunities to doubt their decisions.