The moderating role of shopping trip type in store satisfaction formation

Consumers may weigh store attributes differently depending on the type of shopping trip. For example, fill-in shoppers likely value convenience, due to the ad-hoc nature and urgency of such trips. However, no study has yet explored the effects of shopping trip types on satisfaction formation. This study investigates how three types of shopping trips — major, regular fill-in, and special fill-in — affect satisfaction formation. Using data for all Dutch grocery chains from 2009–2014, we show that service, price, and convenience are important drivers of satisfaction. We also find that the effects of these drivers on store satisfaction depend on the shopping trip type. Major shoppers, for instance, treat service factors as less important to their satisfaction than other shoppers do. Convenience is a more important driver of satisfaction for regular fill-in shoppers. Price is a more important determinant of satisfaction on fill-in trips related to special occasions like birthdays and family dinners.     

Studying patterns of consumer's grocery shopping trip

Previous research on (grocery) shopping trips has focused on studying the relationship between shopping frequency and shopper's demographic characteristics. Recognizing that shoppers are heterogeneous in terms of their shopping trip regularity as well as shopping frequency, we propose a mixture model of the exponential and the Erlang-2 distribution with heterogeneous frequency for shopping trip intervals. Applied to IRI (Information Resources, inc.) shopping trip data, we found that 70 percent of shoppers visit grocery stores with random intervals and 30 percent with relatively fixed intervals. We also found clear differences between these “random” and “routine” shoppers in terms of several demographic and purchase behavioral characteristics. The “routine” shoppers are identified to have higher opportunity costs which make it difficult for them to visit grocery stores more often and/ or to switch stores. However, they spend more dollars for a given shopping trip. Finally, we discuss managerial iniplications of segmenting shoppers by their shopping trip regularity.     

Text mining approach to explore determinants of grocery mobile app satisfaction using online customer reviews

In recent years, there has been proliferation of grocery mobile apps as grocery shopping on mobile has found increasing acceptance among customers accelerated by multiple factors. Maintaining high level of customer satisfaction is important for grocery mobile apps in the highly competitive app market. Online reviews have been a rich source of information to analyze customer satisfaction with a product or service. This paper explores the determinants of customer satisfaction for grocery mobile apps using online reviews. Latent Dirichlet Analysis (LDA), which is a text mining technique, is used to analyze online customer reviews of 27,337 customers to identify determinants of customer satisfaction. The determinants identified were further analyzed using a series of analysis to understand the importance of each determinant. Dominance analysis examined the relative importance of the determinants of customer satisfaction based on the overall rating. Correspondence analysis identified determinants which cause satisfaction separately from the determinants which cause dissatisfaction. The results from this study will provide insights to business managers of grocery mobile apps for decision-making on customer satisfaction management.     

Comparing the effectiveness of rewards and individually targeted coupons in loyalty programs

Loyalty programs (LP) and rewards are ubiquitous in retailing, designed to increase customer expenditures and retention, gather abundant customer-level data, and design individually targeted coupons. Although studies have analyzed the individual impacts of LP rewards and targeted coupons on shopping trip incidence and expenditures, they have not compared the two instruments. By investigating the LP of a leading German grocery retailer that uses both LP rewards (points to redeem for free products) and individually targeted coupons, the current study establishes a comparison of their profitability and relative contributions to increasing shopping trips and expenditures. The investigated LP also relies on in-store kiosks to interact with customers, so they can decide when to redeem LP points and request coupons. By jointly modeling the effects of LP point redemptions and coupons on shopping trip incidence and expenditures, using their decision to access the kiosk as a dependent variable and rich data that span thousands of customers over 60 weeks, this study reveals that both instruments increase shopping trip incidence, kiosk access, and expenditures. The LP point redemptions have a stronger effect on shopping trip incidence; coupons have a stronger effect on kiosk access. Although a single redemption of LP points leads to a greater increase in expenditures than a single coupon redemption (€1.46 vs. €0.48), coupons yield three times greater expenditures after controlling for usage frequency; lower discounts also contribute to coupons’ higher profitability. Therefore, LP point redemptions and individually targeted coupons are complementary tools for retailers. This empirical study provides practical insights and pertinent managerial implications regarding the management and design of modern LPs.     

Drivers of customer satisfaction in the grocery retail industry: A longitudinal analysis across store formats

The design of satisfactory shopping experiences remains one of the main challenges for building long-term profitability in modern retailing. Therefore, companies are interested in identifying the key drivers of the service execution that shape customer shopping satisfaction. In this study, we developed a standardized questionnaire for evaluating the shopping experience, and conducted a large study in several grocery stores across different formats during a time span of five years. The resulting rich dataset enabled us to uncover interesting patterns using both individual and store-level analyses. Our results indicate that larger store formats are associated with greater satisfaction levels. When looking at the marginal effects of the various elements of customer service, we found that some specific elements of service execution present significant differences across store formats. In addition, we identified loss aversion on shopping experience, since poor performance impacts more on customer satisfaction than superior performance. Finally, our store-level analysis sheds light on how changes in the service performance determine changes in the shopping experience in the same store. These implied results may guide store and chain managers to evaluate the role of the store execution elements better, and to design the customer shopping experience successfully.     

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.     

The impact of the introduction and use of an informational website on offline customer buying behavior

Do customers increase or decrease their spending in response to the introduction of an informational website? To answer this question, this study considers the effects of the introduction and use of an informational website by a large national retailer on offline customer buying behavior. More specifically, we study a website's effects on the number of shopping trips and the amount spent per category per shopping trip. The model is calibrated through the estimation of a Poisson model (shopping trips) and a type-II tobit model (the amount spent per category per shopping trip), with effect parameters that vary across customers. For the focal retailer, an informational website creates more bad than good news; most website visitors engage in fewer shopping trips and spend less in all product categories. The authors also compare the characteristics of shoppers who exhibit negative website effects with those few shoppers who show positive effects and thus derive key implications for research and practice.     

Satisfaction of mall shoppers: A study on perceived utilitarian and hedonic shopping values

Declining consumer footfall and diminishing sales in Indian metro cities have guided the expansion of malls in cities of central India. Shoppers of these cities are unfamiliar with the mall concept and have limited exposure of shopping values in the past. The present research focused on the influence of utilitarian and hedonic shopping values on satisfaction of mall shoppers of central India Bhopal by establishing a proposed research framework based on 288 responses from two shopping malls, using utilitarian and hedonic dimensions of shopping values. Confirmatory factor analysis and structural equation modeling (SEM) are used to analyze and validate the proposed research framework. The result supports the relationship between shopping values and customer satisfaction, where both the shopping values show positive significant influences on customer satisfaction. Therefore this research paper would help mall owners to focus on these shopping values effectively and efficiently while planning malls in central India for gaining competitive advantage, attracting new customer and hold their profitable customers by enhancing customer satisfaction with shopping values in the current retail scenario.     

The effect of multi-purpose shopping on pricing and location strategy for grocery stores

Though it is a well-accepted fact that consumers indulge in multi-purpose shopping, most previous models of store choice assume that grocery shopping trips are single-purpose trips. This paper provides the first empirical analysis of multi-purpose shopping using data on actual shopping trips. A latent class factor analytic logit model is proposed, which provides a representation of the market structure of grocery store competition, while integrating; multi-purpose shopping, retail pricing format and location strategy. We conclude that incorporating multi-purpose shopping trips provides a better understanding of the competitive market structure, and discuss the managerial implications for the selection of marketing strategies.     

Effects of time pressure,type of shopping,and store attributes on consumers’ satisfaction with grocery shopping

The aim of this study is to investigate whether satisfaction with grocery stores is affected by type of grocery shopping in conjunction with time pressure, and which attributes are important for satisfaction. Fictitious grocery stores are constructed according to a fractional factorial design by varying access, price level, supply quality/range, and service quality. In an Internet survey, 1023 Swedish consumers rated satisfaction with major vs. fill-in shopping imagining they were under high or low time pressure. The results showed that satisfaction is higher for fill-in shopping than major shopping, that time pressure has no effect on satisfaction, and that price level, service quality, and product quality/range are more important for satisfaction with major shopping, whereas access is more important for satisfaction with fill-in shopping. It is also found that the importance of attributes for satisfaction depends on type of shopping more than on individual characteristics.     

A Model of Household Grocery Shopping Behavior

The shopping trip to the grocery store is one of the most basic elements of consumer behavior. The authors seek to provide an understanding of the factors that account for variations in shopping behavior across households. They present a model of shopping behavior that assumes that households seek to minimize the travel cost associated with shopping and the cost of holding goods in inventory. As in the classic EOQ model, observed shopping behavior reflects the manner in which households balance these costs while meeting their consumption needs. A number of propositions derived from the model are tested using data on shopping trips made by households over a one-year period. The results support the model and indicate that the relationship between household characteristics and shopping behavior can be fairly complex: for some households shopping may have a recreational aspect while for others it may compete directly with wage-earning activity.     

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.     

A Comparative Analysis of the Relative Importance of Service Quality for Two UK Grocery Retailers

This article identifies the relative importance of service quality across two grocery store formats. Research to date, indicates that within the grocery sector, customers expect value for money in terms of product quality, nutritional value and service quality. If these attributes are met in relation to the customers' perceived risk, it is more likely that customer satisfaction and retention will occur. In difficult competitive, social and economic circumstances, some sources indicate that there will be a trading down in customer shopping habits, with more customers expecting higher levels of service provision across a wider range of store formats, including the discounters. This study examines the relative importance of service quality for a quality-led retailer, compared to a discounter. Quantitative and qualitative research was carried out to obtain both a demand and supply–side perspective. Research findings demonstrate that despite the fact that consumer expectations are rising in relation to the overall shopping experience, distinctions in relation to customers' expectations between the levels of service provided across quality-led stores, compared to discounters, is still evident.     

Share of wallet in retailing: the effects of customer satisfaction, loyalty cards and shopper characteristics

In retailing, consumers typically patronize multiple outlets. Thus, an important issue is why consumers vary in how they divide their purchases across outlets and how outlets can get a greater share of consumer expenditures. Two potential avenues for increasing customer share are to raise customer satisfaction, and increase repeat purchase through loyalty cards. This study examines the effects of customer satisfaction and loyalty cards as well as consumer characteristics on customer share spent on the primary grocery store. The findings suggest that customer satisfaction has a positive, albeit modest, effect on share while consumer economic shopping orientation has a negative direct effect on share. The economic orientation of shoppers, their felt importance of a personal relationship with store personnel, and the level of their aggregate purchase volume moderate the effect of satisfaction on customer share. Finally, the results provide mixed support for the impact of loyalty cards on customer behavior.     

Save or (over-)spend? The impact of hard-discounter shopping on consumers' grocery outlay

An increasing number of consumers have come to patronize a hard discounter (HD) to save on their grocery budget. Given the HDs' rock-bottom prices, a complete switch from the traditional supermarket (TS) to the HD format would, indeed, substantially reduce grocery spending. However, consumers typically visit the HD on top of a TS, leading to a more complex purchase allocation and decision process. In addition to limiting the potential savings to part of the basket, these multiple store shopping patterns may therefore result in depletion of self-control resources and to self-licensing, consumers using realized savings to justify additional indulgent purchases. In this study, we explain and empirically analyze the effect of HD patronage on consumer spending, taking the selected shopping pattern (single versus multiple stores, visited on separate versus combined shopping trips) into account. To this end, we use scanner panel data on households' actual weekly purchase behavior. We also examine household differences in these effects, and relate them to household characteristics.Our results show that shifting the entire basket to the HD entails substantial savings. Yet, for the majority of consumers, adding a HD to the store set does not reduce grocery outlay: visiting the HD and TS on separate shopping trips leads to a “status quo”, and visiting them on combined shopping trips even enhances weekly spending. While consumers pay less per unit bought at the HD, this is (more than) offset by the purchase of larger quantities across a broad range of product categories, and of more expensive items at the TS. Especially older consumers or larger households, and consumers who shop more frequently or are easily enticed by promotions, are bound to overspend.     

The relevance of shopper logistics for consumers of store-based retail formats

This paper discusses and empirically evaluates the relevance of shopping-related logistics for consumers of store-based retail formats. Based on a literature review a conceptual model was developed and subsequently tested using a survey of more than six hundred consumers in the grocery retail sector. Respondents were those primarily responsible for grocery shopping in their households located in a highly concentrated European urban retail market. Variance based structural equation modelling reveals that shopper logistics has a major impact on the convenience of store-based shopping and partly influence consumers' perceptions of shopping related costs. Nevertheless, shopper logistics does not affect consumer behaviour in terms of the share of visits of a store. These results are moderated by age, hedonic shopping orientation, shopping frequency, average spending per trip and store format preference. We conclude that shopper logistics is relevant for consumers of grocery stores but its relevance varies between different shopper groups.     

Supermarket self-checkout service quality,customer satisfaction,and loyalty: Empirical evidence from an emerging market

Supermarket shoppers around the world are increasingly encountering and using self-service technologies (SSTs) during their shopping process. The SSTs are mainly offered to reduce retailer costs and enhance customer's experience. Among the many different SSTs available, self-checkout systems (SCS) have become an extremely popular choice of supermarkets around the world. Although some of the main motivations of the supermarkets for offering SCSs are cost cutting, speed, and convenience, supermarkets are also assuming that these services would enhance customer experience, satisfaction, and ultimately loyalty. However, empirical evidence is needed to better understand customer expectations of SCS service quality and how technology based service quality impacts retail patronage. Therefore, the purpose of this research is to examine the service quality of supermarket/grocery store SCSs and its impact on customer satisfaction and loyalty in an emerging market, namely Turkey. Using the SSTQUAL scale (Lin and Hsieh, 2011), data (n=275) for the study is collected from shoppers who had just completed going through the self-checkout counter in a large supermarket chain. The results of this study show that SCS service quality positively influences loyalty through the customer satisfaction path. Managerial and research implications of the findings are discussed.     

Investigating the consumer–environment interaction through image modelling technologies

Abstract

This study uses an innovative research tool to evaluate the hypothesis of a consumer–environment interaction. A new computer graphics methodology keeps track of the time spent and the number of purchases made during shopping, together with several other behavioural measures. A laboratory experiment uncovered an interaction effect in dwell time and number of purchases between the type of shopping trip (fill-in trip vs. major trip) and the consumers' layout preference. Shoppers taking major trips were more prone to shop in a free-form layout, whereas those taking fill-in trips tended to prefer a grid layout. The article discusses implications for research and practice, identifying areas for future research.     

Income and time pressure: a person-situation grocery retail typology

A person-situation segmentation framework is proposed. The demographic variable 'income' and the situational variable 'time pressure' were integrated and applied to grocery retail shopping. Using a combination of individual scanning data and a mail survey, we divided a sample of moderate to frequent grocery shoppers in a large Belgian retail organization into four grocery-shopping segments - 'money-poor, time-rich', 'money-poor, time-poor', 'money-rich, time-rich' and 'money-rich, time-poor'. Significant differences existed between these segments in several demographic, behavioural and attitudinal characteristics, including: demographic - age, composition and size of household, number of children at home, marital status, location, education and occupation; behavioural - amount spent in the store, buying pattern for different product categories and different task definitions; attitudinal - overall attitude towards grocery shopping and different grocery-shopping attribute saliences.     

The impact of search costs on consumer behavior: A dynamic approach

Prices for grocery items differ across stores and time because of promotion periods. Consumers therefore have an incentive to search for the lowest prices. However, when a product is purchased infrequently, the effort to check the price every shopping trip might outweigh the benefit of spending less. I propose a structural model for storable goods that takes into account inventory holdings and search. The model is estimated using data on laundry detergent purchases. I find search costs play a large role in explaining purchase behavior, with consumers unaware of the price of detergent on 70 % of their shopping trips. Therefore, from the retailer’s point of view raising awareness of a promotion through advertising and displays is important. I also find a promotion for a particular product increases the consumer’s incentive to search. This change in incentives leads to an increase in category traffic, which from the store manager’s perspective is a desirable side effect of the promotion.