The Consumer Costs of Food Certification: A Pilot Study and Research Opportunities

Certification labels have become a ubiquitous feature on food products across grocery store shelves. Although it is widely acknowledged that certified products often garner higher prices than their noncertified competition, less is known regarding what those price differences are based on, and what the personal, political, or ethical implications are for consumers. This research note argues for greater attention to the implications of certified food prices—which we conceptualize as the “consumer costs” of food certification. The paper discusses the theoretical linkages between food certifications and prices, and outlines the resulting consumer costs of which we are concerned. Through a pilot study in Salt Lake City, Utah, we investigate prices found on certified grocery store rice, and consider the causes and implications of the consumer costs of food certification.     

Price Knowledge During Grocery Shopping: What We Learn and What We Forget

Past research on consumer price knowledge has varied considerably partly due to differences in how and when price knowledge is measured. This paper applies a multi-point, multi-measure approach to reconcile differences in past price knowledge research by examining systematic relationships between time of measurement and type of measures applied. Examination of consumer price knowledge before, during, and after store visit sheds light on what is measured at the individual points in time: episodic price knowledge and/or reference prices? With a between-subjects design interviewing 1,204 respondents, the authors investigate three price knowledge measures (price recall, price recognition, and deal spotting) demonstrating that these are hierarchically related. Results suggest that reference prices dominate before store visit, but also that episodic price knowledge, surprisingly, is still accessible at the store exit. These findings enable the authors to reconcile diverging results from past research, showing how consumer price knowledge evolves and suggesting that the vast majority of consumers learn about prices, whether consciously or unconsciously, during grocery shopping. Thus, when applying a multi-point, multi-measure approach, consumers appear to know more about prices than suggested by past research. Determinants of price knowledge are also examined and the results indicate that price knowledge builds up not only because of active search but also due to accidental exposure to prices and with low degrees of conscious processing. Implications for managers are discussed.     

Price recall: Brand and store type differences

Price is among the most important choice criteria for customers, whose price knowledge is often surprisingly inaccurate. This study aims at providing new insights into differences in price recall across brands and store types, and their potential effect on marketing efficiency and customers’ store choice. Towards this aim, we analyze the price recall of consumers for 51 food items by a random-effects panel estimation employing a survey with 715 participants. Our results show that customers recall national brand prices better than private labels, almost irrespectively of the store type; consumers overestimate store brand prices in both store types; the effect, however, is much higher for the convenience store. These outcomes have consequences for the marketing strategy: despite a price-matching guarantee for the store brands in the convenience store, the price image is still in favor of the discounter. This result raises doubts on the effectiveness of the price-matching guarantee, at least in this context. The everyday low price strategy of the discounter seems to pay off in terms of the price image. Though both stores charge the exact same prices for their store brands, prices at the discounter are on average perceived to be significantly lower.     

Cost Analysis of Calcium in Store Brand versus National Brand Grocery Products

Objective: This study was to determine if calcium fortification yields a higher price per serving in grocery store products. Researchers compared store brand to national brand grocery products in relation to cost in order to examine if calcium values were similar between store brand and national brand products. Methods: A total of 112 store brand and 211 national brand grocery products were collected from three low (national chain store), middle and high priced (Virginia and North Carolina regional store) grocery venues. Products were compared using price and calcium percentage per serving. ANOVA was used to determine between store brand and national brand for price per serving and calcium content, and between grocery venues. Results: National brand fortified products had a significantly lower mean price per serving when compared to national brand non-fortified products (p = 0.0002). There was no statistical difference between store brand fortified and non-fortified products (p = 0.9256). Low priced store brand products had the lowest mean price per serving ($0.34 ±0.24). Conclusions: This study found store brand products have similar calcium content as national brand products. Product cost was lower at low priced store compared to middle and high priced stores.     

MEASUREMENT OF GROCERY PRICES: SOME METHODOLOGICAL CONSIDERATIONS AND EMPIRICAL RESULTS

This paper examines some methodological issues in the design and execution of food price surveys, and presents findings from a recent survey of fifty-eight grocery stores in the Cardiffarea. The methodology discussed includes the design of samples of goods to be surveyed (the ‘shopping basket’), of shops in which grocery prices are to be measured, and derivation of the shop-price matrices to be used in analyses of grocery pricing strategies. The empirical results show, as expected, significantly cheaper prices in multiple and co-operative stores compared with independent and affiliated. No significant difference is found between the latter categories of store. There is limited support for the hypothesis that the larger the store the lower the prices. Prices measured in the Cardiff area are also compared with average ‘shopping basket’prices derived from a national survey carried out concurrently by the Consumers' Association. Finally, the value to the researcher of ‘one-off’ price surveys is assessed.     

Supermarket consumers and gender differences relating to their perceived importance levels of store characteristics

Family grocery shopping is the accepted domain of women; however, modern social and demographic movements challenge traditional gender roles within the family structure. Men now engage in grocery shopping more freely and frequently, yet the essence of male shopping behaviour and beliefs present an opportunity for examination. This research identifies specific store characteristics, investigates the perceived importance of those characteristics and explores gender, age and income differences that may exist. A random sample collection methodology involving 280 male and female grocery shoppers was selected. Results indicated significant statistical differences between genders based on perceptions of importance of most store characteristics. Overall, male grocery shoppers considered supermarket store characteristics less important than female shoppers. Income did not affect shoppers' level of associated importance; however respondents' age, education and occupation influenced perceptions of price, promotions and cleanliness.     

The influence of need for closure and perceived time pressure on search effort for price and promotional information in a grocery shopping context

Need for closure (NFC) is introduced as a variable of individual difference that shows promise to help the understanding of a consumers' effort to search for price and promotional information in the context of retail grocery shopping. Results showed that NFC and perceived time pressure (PTP) are important determinants of search effort for price and promotional information (e.g., searching for coupons, looking for in‐store promotions, switching stores to find lowest prices, and comparing unit prices). Moreover, an interaction effect was found between NFC and PTP. Future research and theoretical and practical implications are discussed. © 2005 Wiley Periodicals, Inc.     

RETAIL GROCERY PRICE VARIATIONS: A CONSIDERATION OF THE STRUCTURAL AND LOCATIONAL CHARACTERISTICS OF STORES

This paper identifies statistically significant variations in retail grocery prices and relates these primarily to differences in store organizational structure.     

Consumer price knowledge before and after the euro changeover

This article examines how the price knowledge of Finnish consumers has changed since the adoption of the euro. Our study measures price knowledge by comparing consumers’ price estimations with actual market prices at two points in time: before (October 2001) and after (March 2002) the changeover to the euro. Furthermore, we study potential differences between three different age groups. We approach the issue using four determinants, namely (1) response percentage (the percentage of respondents who were able to give a price estimate); (2) the difference between the median of the market prices and the median of the price evaluations; (3) the difference between the average of the market prices and the average of the price evaluations; and (4) the average of the absolute deviations between the average of product prices and consumer price evaluations. Our results indicate that, on average, consumers know the prices of grocery products quite well despite the prevailing dispersion of actual prices in the market. Price knowledge was found to be rather good both before and after the introduction of the euro. Nevertheless, the good price knowledge after the changeover was probably because consumers remembered the prices asked in the old currency and converted them to euros. The majority of respondents were able to give price estimates that were within the range of actual price dispersion in stores. The results also show some deterioration in price knowledge after the advent of the euro. There was variation between different age groups, and it seems that the introduction of the euro has affected various groups differently. Consumers aged 30–50 years knew prices best both before and after the euro, whereas the ability to estimate prices had declined most among consumers above 50 years after the euro changeover.     

Memory-Based Store Price Judgments: The Role of Knowledge and Shopping Experience

This paper investigates the processes underlying consumers’ memory-based store price judgments. The numerosity heuristic implies that the greater the number of relatively lower priced products at a store that consumers can recall, the lower will be their overall price image of the store. That is, people use the number of recalled low-price products to judge the overall store price image. We show that this expectation holds only for knowledgeable consumers. Instead, less knowledgeable consumers use the ease with which low-price products are recalled (i.e., the availability heuristic) as a cue to make store price judgments. Therefore, the fewer low-price products they recall, the easier their recall task, and the lower their price perceptions of the store.Field studies using different manipulations tested and confirmed these predictions. Managerial implications for retailers are offered. Theoretical implications for behavioral price perceptions, memory-based judgments, and the use of heuristic cues are also discussed.     

The Impact of Item Price Removal in Scanner Supermarkets: A Survey Study of Los Angeles Shoppers

The practice of removing item prices in scanner-equipped grocery stores has raised an important public policy issue relating to the ability of individual consumers to engage in effective shopping with less available price information at the point of purchase. This study investigated the likely impact of item price removal in scanner-equipped grocery stores as a function of consumers' use of price information, general consumer predispositions, and consumers' experience with scanner technology. Particular emphasis was placed on the likely effects of item price removal on disadvantaged consumers. The implications of the study for public policy are discussed.     

Prices Paid in Grocery Markets: Searching Across Stores and Brands

Using a large sample of prices paid for 21 homogeneous grocery products available in several brands in each of 16 markets, we simulate the search behavior of a consumer following different shopping strategies using as many as four supermarkets. We find that price search can lead to substantial savings. Brand switching can generate savings at least as large as visiting multiple stores to find the lowest price for a single brand. Buying a private label is usually a better way to save than any amount of search for low prices on national brands. A case study in a small metropolitan area grocery market yields results substantially the same as the simulation results.     

Investigating the impact of Internet of Things services from a smartphone app on grocery shopping

This study investigates the impact of Internet of Things (IoT) services from a smartphone app in a retail grocery shopping situation. It examines four variables, namely price, expiry date, quality indicators and offers. All four variables were examined in relation to two levels; traditional information and IoT services. A scenario was arranged whereby 226 participants were to purchase, among other products, fresh salmon in a grocery store using the store's smartphone app. Findings from a conjoint study show that the following IoT services; “updated expiry date”, “aggregated national customer experience index”, and “personalized offer based on product in the basket” evoked the approach and abated avoidance tendencies to explore the smartphone app, while simultaneously increasing the likelihood of buying based on information from the app. The IoT service “Real-time price” had a varied impact on participant approach-avoidance tendencies to interact with the app. Scenario simulation analysis shows that some IoT services can be a deal-breaker in a competitive grocery market. Consequently, analyzing the impact of IoT services through the lenses of approach-avoidance distinction and choice indication can help retail grocery managers develop more effective marketing strategies that deliver convenience to the consumers.     

Consumers’ multifaceted deal knowledge in a grocery retail setting

Despite its relevance to retailers, studies of consumers’ deal knowledge have been few. This study explores consumers’ deal knowledge before, during, and after the store visit applying a between-subjects field-study design with 1204 respondents. In particular, the authors investigate perception of deal price status, typical deal price knowledge, and deal-spotting ability. Results show reasonably stable knowledge of typical deal prices, while knowledge of deal price status and deal-spotting ability improves significantly during grocery shopping. Surprisingly, consumers’ deal knowledge is not conditional on purchasing a special thus indicating that most consumers, consciously or unconsciously, scan for promotion signals when shopping groceries. In addition, the results suggest consumers are not easily fooled, as the vast majority is able to spot ‘good’ and ‘bad’ deals, while also possessing typical deal price knowledge. Furthermore, the findings suggest that consumers store internal reference deal prices. Retailers are therefore well advised to consider mixed depth and creative discount patterns to prevent ‘perfect’ perceptions of typical deal prices.     

Recording discrepancies in Nielsen Homescan data: Are they present and do they matter?

We report results from a validation study of the Nielsen Homescan consumer panel data. We use data from a large grocery retailer to match transactions that were recorded by the retailer (at the store) and by the Homescan panelist (at home). The matched data allow us to identify and document discrepancies between the two data sets in reported shopping trips, products, prices, and quantities. We find that the discrepancies are largest for the price variable, and show that they are due to two effects: the first seems like standard recording errors (by Nielsen or the panelists), while the second is likely due to the way Nielsen imputes prices. We present two simple applications to illustrate the impact of recording differences, and we use one of the applications to illustrate how the validation study can be used to adjust estimates obtained from Nielsen Homescan data. The results suggest that while recording discrepancies are clearly present and potentially impact results, corrections, like the one we employ, can be adopted by users of Homescan to investigate the robustness of their results to such potential recording differences.     

Managing price expectations through product overlap

How should a retailer think about the decision to carry, price, and promote products that overlap with another store when such overlap is predicted to intensify price competition and drive down product prices? The existing research suggests that retailers should look to carry an ever-increasing percentage of unique or non-overlapping products [J. Marketing 61 (1997) 38; Marketing Sci. 19 (2000) 83], thereby eliminating the ability to compare prices across stores.We challenge this recommendation, arguing that overlapping products allow one type of retailer—the higher end retailer—to signal the fairness of its prices and foster a more favorable price image than might otherwise exist. In a laboratory study, we show that, for higher end stores, the existence of overlapping products can significantly increase perceptions of pricing fairness and subsequent store choice, even when those overlapping products are no cheaper in the focal store than in a competing store.     

Consumer price awareness in food shopping: the case of quantity surcharges

Quantity surcharges, higher unit prices on larger sizes than smaller sizes, are often found among grocery items. In this study we consider the question of why consumers buy surcharged goods. We hypothesize that it is the consequence of a failure to price search, and that some buyers purchase larger sizes in the belief they are cheaper, thus avoiding the need for price comparisons. In the analysis we examine canned tuna, using 1990 data from 54 grocery regions on sales, prices, and consumer demographics. Results support the hypothesis. We find evidence that buyers of surcharged items are mainly those with high time and information costs.     

How Do Price Perceptions of Different Brand Types Affect Shopping Value and Store Loyalty?

This research investigates the relationships among price perceptions for different brand types (national brands, standard store brands, regional store brands, organic store brands), shopping value dimensions (quality, price, social, and emotion value), and store loyalty (retention and word of mouth (WOM)). A comprehensive model depicts determinants of customer store loyalty. Using structural equation modeling, the model test includes 671 consumers intercepted during shopping trips. The data analysis yields several surprising results. In particular, low product price perceptions do not necessarily signal negative store quality evaluations. Shopping value dimensions influence store retention loyalty and WOM behavior differently. Furthermore, different brand types exert distinct effects on the value creation process. Favorable prices for national and standard store brands have comparable positive effects on store price value and emotional value creation; appealing prices of regional store brands instead reduce the emotional value of the store, and low prices for organic store brand products significantly increase social value creation.     

Investigating the unobserved heterogeneity in consumers’ sensitivity to the price of gasoline

We empirically examined how gasoline prices impact consumers’ shopping behaviors. Using individual panel data on gasoline transactions, we found that gasoline prices generally have a statistically and economically significant impact. However, our disaggregate analysis indicated that, across consumers, considerable heterogeneity was present in the underlying sensitivity to the price of gasoline and in the income effect, resulting from fluctuating gasoline prices. More interestingly, the significant effect of gasoline prices was largely driven by the consumers with large purchase volume, and consumers with the highest level of gasoline consumption remained almost perfectly insensitive to the price of gasoline. Such heterogeneity is also present in the effect of gasoline prices on grocery expenditures, and notably, consumers with the largest purchase volume were not associated with statistically significant changes in grocery expenditures. Theoretical background suggests that the financial constraints of consumers and primary vehicle use may explain about the differences in responses to gasoline prices. Results based on individual-level data allowed for a comprehensive understanding of how and how much gasoline prices affect consumer behaviors and showed that inelastic gasoline demand and the considerable income effect due to gasoline prices may not best describe the effect of gasoline prices.     

Assessment of business potential at retail sites: empirical findings from a US supermarket chain

We address the problem of estimating retail business potential at alternative sites, with concern for assessing performance relative to potential in existing markets and for identifying the best sites for expansion into new markets. At question is the utility of information typically used in formal retail patronage models, in comparison with additional information considered important by retail executives. Relevant data are gathered from secondary sources and intensive in-store surveys are conducted to produce a portfolio of information about neighbourhood demographics, store ambience, variety and quality of products and services, relative prices of selected products, etc. for stores in a retail grocery chain and competitive stores in the chain's markets. We experiment with alternative statistical models for store performance to determine the consequence of restricting the types of data available when constructing the models. Our findings suggest that while information about store location and surrounding areas, store characteristics and competitive position are all required to obtain the best assessment for business potential at a site, a few key variables on each dimension offer the bulk of explanatory power. Further, the spatial-locational variables affect all measures of store performance in intuitive directions, whereas the effects of other variables differ according to performance measure and reflect the store's market position.