Store Preferences Research Articles

THE IMPACT OF CONSUMERS' VIEWS ON CLEAR AND AMBIGUOUS STATEMENTS REGARDING DISCOUNTS ON ONLINE STORE PREFERENCE

During the sales-enhancing offer process, businesses can use vague (unclear) expressions such as a discount of up to 70% or 30%, or clear expressions such as a net discount of 70% or 30%. It is thought that the clear and ambiguous expressions used for the discount significantly affect the store preference. The effect of clear statements and ambiguous statements about discounts on consumer preference for online stores was determined as the aim of the research. The questionnaire, which was created in accordance with the purpose of the research, was applied to 421 people determined instantly using the convenience sampling technique, taking into account time, ease of use and cost factors. Least squares path analysis (PLS-SEM) method was used to analyse the research model. According to the beta values calculated in the analyses, it is seen that the dimensions of discount-related statements are ranked as clear statements and ambiguous statements according to the effect size value on the online store preference variable. In this direction, it can be said that clear statements are more effective in online store preference.

MCI모형을 이용한 중국 옌타이시 대형소매점 매출예측 및 상권영향분석

Recent research on GIS analysis, spatial interaction models, and site selection for large retail stores is actively underway in China both domestically and internationally. However, most studies tend to rely on secondary data provided by government agencies, neglecting research based on actual consumer survey data. Therefore, this study aimed to improve methods for analyzing commercial areas of large-scale retail stores in China by proposing the use of consumer data to enhance existing spatial interaction models. Specifically, by conducting surveys among consumers who actually visit large-scale retail stores, basic data such as store visit rates and visitor travel distances were collected to construct the MCI model. Through this approach, the study estimated the visit probability and market share of large-scale retail stores, and analyzed the impact of market environmental changes on commercial areas. Firstly, based on address data from 279 Chinese consumers, the study area was divided into 44 regions. These regions were combined with information on consumer shopping patterns and store details to construct a matrix of interactions between regions and large-scale retail stores. Secondly, important parameters in the MCI model, such as store attractiveness index and distance sensitivity, were estimated through OLS regression analysis. Findings revealed that the store type (regional large-scale retail, urban large-scale retail) did not significantly impact on consumers’ store preferences. Instead, customer visits exhibited an inverse relationship with distance and a direct relationship with store size. These estimated results were consistent with the theoretical perspectives of spatial interaction models. Thirdly, to examine how changes in the retail environment may affect retail businesses within commercial areas, the study focused on changes in sales and market share of surrounding retail businesses when a specific store expanded its area or entered a new region. The results showed that both expanding store area and entering new regions had negative impacts on other existing stores.

National retailing after the Second World War: structural changes, differences and the impact of the socialist model on the Czech and Slovak Republics (1953–1989)

ABSTRACT Changes in retail structures, processes, and culture in post-war Europe were strongly affected by the post-war economic boom, the origin of a mass consumer society, and the adaptation of innovations from the United States. Retail structures and the culture of consumption remained different in the Czech and Slovak parts of the former Czechoslovakia after the Second World War, which influenced the development of retail trade in both countries. After the rise to power of the communists, retail was nationalised, leading to centralising trends in the Czech Republic and decentralisation trends in Slovakia. As a result, the retail structure differed in the two countries. While the Czech Republic showed a preference for larger stores, Slovakia focused more on smaller stores, particularly in rural areas. Although the post-war period brought positive changes, such as the growth of retail trade and the restoration of the population’s purchasing power, the socialist economic model, which was controlled by state-owned enterprises, led to insufficient development and investment in retail and a lack of innovation and efficiency. The post-war period represented a key era for the transformation of European retail; the development trends in post-socialist countries, however, differed from other, capitalist countries.

An Assessment of the Factors Associated with Grocery Shopping Frequency for Georgia SNAP-Ed Participants

The current research examined participants’ self-reported data from the SNAP-Ed program in 2018 and 2019 in eight target counties in northern Georgia. Store proximity clusters were explicitly described using the k-means clustering method. OLS regression models identified the relationship between shopping frequency and store proximity, preferred retailers, and car usage. There is a significant association between store preference and both the number of stores used and shopping frequency. However, the store proximity clusters, and car use were not significantly associated with the number of shopping trips. This study suggests that factors beyond proximity shape food access and shopping behavior.

Analysis of the Influence of Product Completeness, Service and Price on Consumer Repeat Purchase Decisions

This study aims to determine the effect of product completeness, service, and price on consumer purchasing decisions at Sumber Sehat Departemen Store, Singaraja - Bali. The variables studied were product completeness (X1), service (X2), price (X3) and customer purchasing decision (Y). Product completeness variable has 4 (four) indicators, which are the diversity of products sold, the variety of products sold, the availability of products sold, and the availability of various brands. Service variable have 5 (five) indicators, which are physical facilities, reliability, certainty, responsiveness, empathy. Price variable has 3 (three) indicators, which are price affordability, price competitiveness and price benefits suitablility. Purchasing decision variable has 5 (five) indicators, which are product preference, brand preference, store preference, time preference and quantity preference. The analytical tool used is multiple linear regression with the help of SPSS software. The population in this study is the total consumers of Sumber Sehat Convenience Store in 2021, namely as many as 531 consumers and the sampling method used is Slovin formula with a tolerated margin of error of 5%, so that a sample of 228 respondents is obtained. The results of this study indicate that the variable product completeness, service and price have a positive and significant effect on the consumer purchasing decision variable. Furthermore, the variables of product completeness, services and prices simultaneously have a positive and significant effect on the consumer purchasing decision variable.

Understanding the Impact of Situational Factors on Green Purchase Intention in Retailing: A Study of Young Consumers

Much research has been devoted to understanding sustainable consumption using factors from the theory of planned behaviour. However, very few researchers have studied the role of situational factors in this context. The present study is aimed to analyse the impact of preference of retail store and transportation mode on green purchase intention, which in turn affects sustainable consumption behaviour among retail consumers. A survey by questionnaire method was used to collect data from young Indian consumers from Mumbai, Kolkata, Bengaluru and Delhi. Due to the Covid-19 outbreak, data was collected through online mode from 280 respondents by adopting quota sampling. Linear regression analysis was performed to test the proposed hypotheses. The findings of the study reveal that the preference for retail stores have a significant positive effect on green purchase intention while transportation mode has a significant negative impact on green purchase intention. The two situational factors explain more than 27% of the variance in consumers' intention to purchase green products. The study also reported a significant positive impact of green purchase intention on sustainable consumption among young retail consumers. Finally, green purchase intention explained a 63% variance in sustainable consumption.

Türkiye’nin Samsun Ilindeki Suriyeli ve Iraklı Sığınmacıların Gıda Satın Alma Noktalarını Etkileyen Faktörler

The aim of this study was to investigate the factors influencing the food purchase points of Syrian and Iraqi refugees in the urban districts of Samsun province of Turkey. The primary data of the study were collected through a questionnaire from 252 household representatives of Syrian and Iraqi refugees. Factor analysis (FA) technique, descriptive analysis, Person’s correlation (r), t-test, and ANOVA tests were used to address the objective of the study. The result showed that the refugees chose the local markets for fresh vegetables and fruit, supermarkets for meat and dairy products, and markets for cereal products. The price of the product and hygiene conditions were influential factors in-store selection for the refugees. However, nationality, gender, marital status, age, and district among the socio-demographic variables, the number of workers and income level among the economic variable, and, payment method among the behavioral variables had influences on the store preferences of refugees for at least for two type food categories. Furthermore, the store choices of the refugees were also affected by store attributes, consumer characteristics, and food categories.

A Study on Consumers' Online Stores Preferences: Comparison between Shopee and Lazada in Malaysia

Nowadays, online stores are widespread all over the world. It is a website or an application where people can easily purchase goods and services over the internet. Online stores are known to be active in growing their businesses, especially since the Covid-19 outbreak, which urges people to think that online shopping is more convenient and safer than visiting the physical stores to buy their needs and wants. This research paper attempts to study the factors influencing the consumers’ online store preferences between Shopee and Lazada. The research was conducted through the distribution of a questionnaire to collect data on the consumers’ online store preferences. A total of 100 respondents have answered the questionnaire survey. The results indicate that factors including customer satisfaction, information quality, and performance expectancy can influence the consumers’ online stores preferences as well as impact the businesses of Shopee and Lazada. The findings also provide some feedback to assist these two organizations for better future business performance.

Impact of Grocery Store Proximity on Store Preference Among Atlanta SNAP-Ed Participants

ObjectiveTo assess the association between grocery store proximities and the individual's grocery store preferences among Supplemental Nutrition Assistance Program Education participants in Atlanta. MethodsUniversity of Georgia Supplemental Nutrition Assistance Program Education participants (n = 615, response rate is 36%) in 3 counties provided their preferred grocery store chains. The association between store proximity (both network distance and driving time) and store preference was measured through logistic regression controlling for age, sex, and race. ResultsDescriptive statistics showed participants had widely varying proximities to grocery stores. Model results were significant for all smaller chains (Aldi, Big Bear, Wayfield, Food Depot, and Save-A-Lot), Kroger (P < 0.01), as well as for Walmart (time only, P = 0.002). Conclusions and ImplicationsFuture studies might identify whether local groceries are more willing to partner on interventions or are more effective at reaching local residents. Surveys or techniques such as sketch mapping could also show whether individuals shop in neighborhoods close to work or friends and family.

"패션 브랜드에서 자기 이미지 일치성이 브랜드, 제품 및 점포 선호에 미치는 영향 -브랜드, 제품 및 점포 선호의 관계를 포함하여-"

본 연구의 목적은 동일한 패션 브랜드를 대상으로 하여 브랜드와 제품 및 점포 이미지와의 자기 이미지 일치성이 브랜드와 제품 및 점포의 선호 각각에 미치는 영향을 분석하고, 제품과 점포에 대한 선호와 브랜드에 대한 자기 이미지 일치성이 브랜드 선호에 미치는 영향력을 규명하는 것이다. 연구방법은 이론적 배경 고찰과 실증조사 및 분석이다. 조사대상은 20～30대 여성으로 온라인 서베이를 통해 총 456부의 응답 자료를 수집한 후, 이에 대해 IBM SPSS Statistics 25로 기술통계와 신뢰도 분석, 회귀분석, 요인분석 등을 실시하였다. 분석 결과는 다음과 같다. 자기 이미지 일치성은 브랜드와 제품 및 점포의 선호 각각에 유의한 정적 영향을 미쳤으며, 그 영향력은 제품 선호에서 가장 크고 점포 선호에서 가장 작은 것으로 나타났다. 응답자들이 가장 추구하는 이미지 요인은 깔끔한 이미지였으며, 브랜드와 제품 및 점포에 대한 선호 모두에서 깔끔한 이미지에서의 자기 이미지 일치성이 가장 큰 영향을 미쳤다. 브랜드 선호에 미치는 영향을 분석한 결과 자기 이미지와의 일치성이 가장 중요하게 작용했으며, 점포 선호는 브랜드 선호에 영향을 주는 것으로 확인되었으나 제품 선호가 브랜드 선호에 미치는 영향력은 확인하지 못하였다. 본 연구의 성과는 자기 이미지 일치성과 브랜드와 제품 및 점포에 대한 긍정적 관계를 동일 브랜드를 대상으로, 동일 소비자 집단을 통해 확인함으로써 패션 브랜드에서의 자기 이미지 일치성과 선호의 이론을 정립하는 데 기여한 점이다. 또한 자기 이미지 일치성의 영향력이 제품에 대한 선호에서 가장 크게 나타나고 점포에 대한 선호에서 가장 낮게 나타났다는 결과를 통해 대상에 따른 차이의 비교 연구 필요성을 제시하였으며, 자기 이미지 일치성을 요인별로 측정하고 분석에 활용하는 연구의 방향을 제안하였다.

Factors That Influence Retail Store Preference and Impact of in-Store Digitization

This paper tries to understand various in-store digitization techniques being adopted by retailers around the world and to determine whether these instore digitisation techniques have an influence towards retail store selection along with a study to understand various factors that influence the retail store preference of consumers. The study was conducted by preparing a questionnaire and taking survey from a sample of 117 people. The data was analyzed and findings were documented accordingly.The various factors that influence the store preference were identified and reduced into 5 factors which are named store ambience, services, convenience, merchandise options and sales promotion. Store ambience was found to be the most important factor that influences store preference.The study also revealed that convenience, degree of modernization and use of virtual Reality in stores would have a significant impact towards store preference and selection.

Do Beautiful Stores improve Product Evaluation?

Retail designers often emphasize the importance of creating stores that consumers will find attractive. This paper challenges that commonly held view, presenting empirical results from a field experiment showing that a positive rating of a store interior does not affect the product rating to the degree expected. This paper proposes a method for measuring spillover effects, which ordinarily take place without conscious attention. The method was applied in an experiment where 50 shoppers were asked to rate six fashion products in three differently designed stores. Respondents were asked to rate stores and products from within the stores. Any discrepancy between the in-store ratings can be interpreted as the influence of the store design. Results indicate measurable spillover effects from store design to product preference. Surprisingly, however, only one of the three stores showed a significant correlation between the respondents’ highest product rating and store preference.

Less is More Expensive: Bulk Buying and Inequality

Quantity discounts are an effective way for households to save money. I explore how large these quantity discounts are, how bulk buying differs by income, and how other factors affect the bulk buying decision. Using Nielsen’s granular store- and household-level data, I establish two empirical facts. First, quantity discounts are large for a wide range of products. Second, low-income households are less likely to buy in bulk than high-income households. I estimate that low-income households could reduce their grocery expenditures by 5%, saving an aggregate of $5.4 billion annually, if they bought in bulk to the same extent as high-income households. I augment Nielsen data with new data that I collected on state-level unit-price regulations and on warehouse club entry. I find that a combination of cognitive costs, store preferences, budget constraints,and storage costs discourage low-income households from realizing these savings. I then estimate a discrete choice model of household purchasing behavior to quantify how bulk buying changes when cognitive costs and storage costs are reduced. Counterfactual simulations show that mandating the display of unit prices, which has only been adopted by nine states, would reduce the difference in how often the highest- and lowest-income households buy in bulk by 26%.

What influences Chinese fashion retail? Shopping motivations, demographics and spending

PurposeThe purpose of this paper is to establish the influence of shopping motivations on Chinese fashion retail engagement relative to demographics, monthly spend on fashion items and high street/electronic commerce (e-commerce) preference. This is to determine how international fashion retailers should design more effective retails channels, expanding upon established theory in Hedonic and utilitarian motivations. While earlier research suggests shopping motivations associate with demographics while influencing retail channel preference and consumer spending, much of this exploration is Western focused, with all variables being influential. However, the degree to which these apply to China, and the unique fingerprint of influential motivations remains unknown. This paper answers these questions to allow international retailers to develop more efficient marketing strategies and design more effective retail channels.Design/methodology/approachIn all, 403 Chinese consumers generalisable to the broader population were surveyed on their hedonic and utilitarian motivations to shop for fashion apparel in high street and e-commerce environments. Statistical analysis was commenced through direct logistic regression and MANOVA.FindingsDemographics have limited association with shopping motivations, with gender and age only producing small effect sizes, while occupation, income and education has no significance. High street store preference is influenced by adventure and social shopping and e-commerce preference only by idea shopping. Spending over ¥1k per month on fashion apparel is influenced by gratification and idea shopping, and regular spending habits inspired by value shopping.Originality/valueThis empirical paper characterises the fingerprint of shopping motivations’ influence as singular to China while proving their limitation and need for a wider plethora of influential factors to be recognised.

What drives consumers to certain retailers for organic food purchase: The role of fit for consumers’ retail store preference

Consumers’ responses to organic foods have been widely researched. However, despite increasing competition among retail chains selling organic foods, little is known about how consumers choose stores for organic food buying. This study fills this important research gap by examining the role of perceived fit between retailers and organic food in US consumers’ choice of retail store for organic food buying. We also investigate antecedents of fit perception and how age-driven differences (younger vs. older consumers) interplay with the role of fit. The data were collected from both younger and older consumers through web-based surveys employing a realistic context of organic food purchases at a retail chain, Walmart. Social desirability bias was incorporated. The results evidence significant moderating roles of retailer-organic food fit in two specific attitudes: attitude toward organic food and attitude toward a retail chain. Store quality is a significant antecedent of fit between retail chain and organic food, but price perceptions and consumer beliefs about corporate social responsibility-corporate ability are not. The moderating role of retail chain-organic food fit is different for younger vs. older consumers. This study provides insights into the significance of matching the image between retailers and organic products (i.e., fit). Also, the proposed model can be applicable to the contexts of fit between retailer and other specialty products. The findings provide insights into how to more effectively attract consumers for organic food purchases through matching brand/product image.

Exploring consumers’ skincare retail patronage

The purpose of this study was to examine concurrently the effects of retail environment and self-image congruence on Gen Y consumers’ retail shopping experiences and patronage behaviors for skincare products. First, a series of in-depth interviews with Gen Y consumers sought to garner attitudinal and behavioral dimensions associated with their skincare shopping experience and retail patronage decision choice. The qualitative research reinforced industry findings that these consumers – often dubbed the Internet Generation – have a higher propensity for omnichannel shopping and lower reliance on face-to-face interface with retail beauty consultants. Based on the extant literature, an empirical analysis grounded in self-construal theory was conducted. Data were collected through an online survey from 336 Gen Y consumers. Structural Equation Modeling (SEM) was used to test the hypothesized relationships between self-image congruence, functional congruence, retail shopping experience, and retail patronage behavior. The findings indicate that both self-image and functional congruence are related positively to Gen Y consumers’ intentions to spread positive WOM about products and store preferences. In addition, functional, but not self-image congruence, is related positively to purchase intentions. Importantly, shopping experience, including satisfaction and pleasure, mediates the relationships between self-image, functional congruence, and retail patronage. This study contributes to the literature by (1) confirming the role of self-image and functional congruence on retail shopping experience and patronage behavior, and (2) identifying conditions in which the relative strength of the relationships differ.

Customer segmentation based on store equity: What explains customer store preference?

Extant literature on brand equity in the context of the retail store is limited. This paper responds to calls for more research in this area by examining, though a quantitative design, shoppers’ perceptions of store equity, loyalty and satisfaction. Responses from 300 Spanish shoppers, in three retail contexts, were captured. Findings of CHAID analysis identify three distinct segments of shoppers. This research contributes to identifying perceived value and store image as the most relevant factors for differentiating retail customers in terms of their store equity perceptions. For theorists, this study presents a better explanation of store choice by segmenting shoppers based on perceived store equity. Management implications include the need to develop economic, functional, emotional and symbolic value propositions in view of the influence of perceived value and image on store equity creation and, ultimately, satisfaction and loyalty.

Supplier wholesale pricing for a retail chain: Analysis of identical market price functions

In a recent study, Konur and Geunes (2016) analyzed a supplier’s pricing decisions for a retail chain that owns and can control a set of retail stores. They assumed that each retail store’s market price function is individually defined and discussed variational inequality formulations and numerical approximations for determining optimal decisions at the retail and supply stages, respectively. In this communication, we revisit the model of Konur and Geunes (2016) for the case with identical market price functions. This special case is relevant in several practical settings, such as when retail stores compete for sales of the same product within a market in which customers do not have strong store preferences (i.e., stores’ market base is the same), when the retail stores offer price matching guarantees, and when the retail chain adopts uniform pricing for its stores. Here, we provide exact methods (rather than a variational inequality formulation approach) for the retail stage and an explicit characterization (rather than a numerical approximation approach) for the supply stage under the special case. The additional analysis leads to new insights about the dynamics between the stages in the channel.

Iconic art infusion in luxury retail strategies: Unveiling the potential

ABSTRACTThis research investigates art infusion, a phenomenon in which artistic elements contribute to enhance the perceived value of consumer goods, in the retailing sector. An experiment conducted with 188 consumers suggests that individuals with high dispositional greed are more interested in shopping in luxury stores that promote products through artworks representative of an artist’s iconic, that is, most recognizable, style. Results show that greed determines consumers’ store preference through an externalized luxury tendency, that is a tendency to purchase luxury goods to show off social status. Such an effect proved to be stronger for extroverted than for introverted consumers.

Brand competition, peer influence, and purchase intentions towards fashion apparel in Mexico

This study examines the effectiveness of different fashion marketing strategies and analyses of the consumer behaviour in a cross-section of demographic settings in reference to fashion apparel retailing. The study discusses the determinants of consumer behaviour and their impact on purchase intentions towards fashion apparel in reference to brand image, promotions, and external-market knowledge. The constructs of the study were measured using reflective indicators showing effects on the product related, economic, and cognitive variables. All variables were chosen following a focus group analysis of the potential respondents. The confirmatory factor analysis, scale reliability, and regression method were used to analyse the data. Data was collected from 217 respondents within the age group of 18-45 in reference to 35 variables on 11 fashion apparel brands in Mexico. The results reveal that socio-cultural and personality related factors induce the purchase intentions among consumers. One of the contributions that this research extends is the debate about the converging economic, cognitive and brand related factors to induce purchase intentions. Fashion loving consumers typically patronage multi-channel retail outlets, designer brands, and invest time and cost towards an advantageous product search. The results of the study show a positive effect of store and brand preferences on developing purchase intentions for fashion apparel among consumers.