Studien visar att det finns ett flertal olika faktorer som ligger till grund för kundens butiksval samtidigt som det finns ett flertal attribut som påverkar en butiks konkurrenskraft. För att förstå hur en butik kan vara konkurrenskraftig innefattar därför att förstå vad en kund förväntar och värderar i en butik. För att skapa en djupare insikt i hur en matbutik kan vara konkurrenskraftig i mindre samhällen valde vi att genomföra en fallstudie. Fallet som undersöktes var ICA Nära Löttorpshallen som ligger på norra Öland. Vi intervjuade totalt åtta nyckelpersoner samt genomförde en fokusgrupp. Samtliga informanter och respondenter ligger till grund för studiens resultat. Av resultatet framgick att det som kunder i ett mindre samhälle värdesätter mest är ett brett sortiment och ett trevligt bemötande ifrån butikens personal. Butikens prisnivå var anmärkningsvärd men inte av någon större betydelse för butiksvalet. / The study shows that there are several factors underlying the customer's store choice and there are several attributes that affect a store's competitiveness. To understand how a store can be competitive includes understanding what a customer expects and values in a store. In order to create a deeper understanding of how a grocery store can be competitive in smaller communities, we chose to conduct a case study. The case that we investigated was ICA Nära Löttorphallen, located on northern Öland. We interviewed a total of eight key individuals and conducted a focus group. All informants and respondents is the basis for the study's results. The result showed that customers in smaller communities value a wide range of products and a friendly and helpful staff. The store's price level was noteworthy but not of any great importance for the customers store choice.

For the last couple of decades consumer decision-making has been of increasing interest for retail as well as for consumer behaviour research. Food shopping constitutes a unique type of shopping behaviour. In comparison to other types of shopping, food is essential to life, and not often are there as many choices to be made in a short period of time as when shopping groceries. The purpose of this dissertation was to advance the knowledge of what influences consumers’ choices of grocery stores. More specifically, the main focus has been on how different situations (e.g., type of shopping) influence choices of grocery stores. Five papers, which build on three surveys on how consumers choose grocery stores in Sweden, are included in this dissertation. In the first paper a comprehensive set of ten aggregated attributes that determine store choices were developed. The second paper brought forward five consumer segments (Planning Suburbans, Social Shoppers, Pedestrians, City Dwellers, and Flexibles) based on where and how they shop. In the third paper it was shown that accessibility attributes (e.g., accessibility by car, availability) and attractiveness attributes (e.g., price, service) have different impacts on satisfaction, depending on consumer characteristics and shopping behaviour in supermarkets compared to convenience stores. In the fourth paper the result showed that satisfaction is affected by type of grocery shopping (major versus fill-in shopping) in conjunction with time pressure and which store attributes that are important for satisfaction. It was also shown that the effect of time pressure and type of shopping on satisfaction varied in different consumer segments. In the final paper it was shown that a store has to be more attractive in terms of attributes for a consumer to switch from the grocery store they usually patronage, even if the new store is situated right beside or closer than the consumer’s regular grocery store. The view of a “good location” is further developed in this dissertation, arguing that consumers’ mental distance to a store – their cognitive proximity – is much more important than the physical place of the store. In sum, this dissertation revealed that the situation is more important than previous research has shown. Depending on the situation, consumers will face different outcomes (different stores) and value different store attributes. Hence, stores need to manage different store attributes depending on which consumer groups the stores want to attract and what situation the consumers are facing. Therefore, consumers’ choices of grocery stores are situation-based choices. / I ett par decennier har intresset för konsumenters beslutsfattande ökat för både detaljhandeln och forskningen kring konsumentbeteende. Matinköp utgör en unik typ av köp-beteende då det i jämförelse med andra typer av handlande är livsnödvändiga samt att det sällan finns så många val som ska göras under kort tid som vid matinköp. Syftet med denna avhandling är att främja kunskap om vad som påverkar konsumenternas val av livsmedelsbutik. Mer specifikt har fokus varit på hur olika situationer (t.ex. typ av handlande) påverkar valet av butik. Fem artiklar, som bygger på tre olika undersökningar om hur konsumenter väljer livsmedelsbutiker i Sverige ingår i denna avhandling. I den första artikeln utvecklades en omfattande uppsättning av tio aggregerade attribut (baserade på 34 attribut) som bestämmer konsumenters val av livsmedelsbutiker. I den andra artikeln presenterades fem konsumentsegment (Planerande förortsbor, Sociala shoppare, Fotgängare, Stadsbor och Flexibla) som baserades på var och hur de handlar. Den tredje artikeln visade att tillgänglighetsattribut (t.ex. tillgängligheten med bil och öppettider) och attraktivitetsattribut (t.ex. pris och service) har olika effekter på konsumenters nöjdhet. Denna nöjdhet varierade även beroende på konsumentens bakgrundsfaktorer samt huruvida konsumenten handlade i stormarknader eller i närbutiker. I den fjärde artikeln visade resultaten att nöjdhet påverkas av typ av matinköp (storhandlande kontra kompletteringshandlande) i samband med tidspress och de attribut som är viktiga för konsumenternas nöjdhet med butiken. Det visade sig även att effekterna av tidspress och typ av handlande på konsumenternas nöjdhet med butiker varierade i olika konsumentgrupper. Det femte konferenspapperet visade att en butik måste vara mer attraktiv när det gäller attribut för att konsumenter skall byta från den livsmedelsbutik som de brukar handla i, även om den nya butiken skulle öppna precis bredvid eller närmre än den vanliga livsmedelsbutiken. Synen på vad som är ett ”bra läge” utvecklas därför ytterligare i denna avhandling, med argumentet att konsumenternas mentala avstånd till en butik - deras kognitiva närhet - är mycket viktigare än den fysiska platsen för butiken. Sammanfattningsvis visade denna avhandling att effekten av olika situationer är viktigare än vad tidigare forskning har visat. Beroende på situation kommer konsumenter att möta olika utfall (välja olika butiker) och de kommer även att värdera olika butikers attribut olika. Således behöver butiken hantera olika butiksattribut beroende på vilken konsumentgrupp butiken vill attrahera och vilken situation de konsumenterna står inför. Därför kan val av livsmedelsbutiker ses som situationsbaserade val.

Thesis advisor: Julie H. Mortimer / This dissertation consists of two independent chapters on pricing and consumer demand in the retail sector. In chapter 1 develop an empirical model of Consumer Supermarket Choice that enables identification of heterogeneous consumer travel costs and is suitable for a wide range of policy experiments and the study of local competition. Chapter 2 is a theoretical investigation on pricing patterns in multi-product retail markets, when boundedly rational consumers' choice of a store is based on the price and valuation of a subset of goods. Estimation of demand systems in spatially differentiated retail markets is fundamental for understanding local competition and the impact of policy changes. It is also challenging, because shopping decisions consist of multiple dimensions: when to shop, where to shop and what to buy. In chapter 1 I develop an empirically tractable model of store choice in the supermarket industry and provide a way to identify consumers' heterogeneous travel costs without imposing restrictions on bundle choice. Using micro level data on a small market in New England, I estimate demand for stores using both a moment inequality approach and standard discrete choice techniques. I specify utility as a function of both store and bundle characteristics, and control for the endogeneity of expenditure on the bundle. I use the estimates of the discrete choice model to evaluate the welfare impact of 1) the closing of each individual store in the market and 2) the relocation of one of the stores. I find that travel costs are heterogeneous and marginally decreasing; that people like to shop at stores that are close, but also like to shop at multiple stores. Furthermore, people value stores differently (across consumers and shopping occasion) and trade off additional travel time for better store characteristics; utility differentials in preference for stores correspond to a distance ranging between zero and up to 3.3 miles. Variation in demand and substitution patterns across stores are explained by differences in store characteristics and by the shopping habits and geographic distribution of heterogenous consumers. Changes in market structure, like store entry and exit can have significant impact on consumer welfare. For example, removal on one of the stores results in a loss in CS that ranges between 8% and 44%. The assumption of rationality in retail shopping decisions appears very problematic when stores sell thousands of products and frequently vary their assortments and prices. Consumers are typically uncertain about prices at different stores and for a consumer to consider the entire distribution of bundles and prices might be a far too complex decision process. Furthermore, models with rational consumers are incapable of fully explaining important features of retail markets such as price dispersion, advertising and leader pric- ing. In chapter 2 I attempt to characterize optimal pricing by multi-product retailers when imperfectly informed consumers buy more than one product. The distinctive feature of the model is that there are two relevant moments to all purchase decisions. First, the choice of a store to visit, and second, the choice of the items to purchase. While consumers might rationally choose a store to best meet their specific needs and desires, the choice of the items to purchase is made only once in a store. Whether guided by impulse, contingent and unforeseen needs or in-store learning about a product, consumers often end up buying additional products which can generate higher profits for the stores. To examine the implications on retail pricing of this kind of behavior, I depart from a standard rational setup and introduce the concept of attractor goods. Using an an approach similar to that found in Osborne and Rubinstein (1998) and Spiegler (2006) I consider boundedly rational con- sumers whose choice between stores is based solely and entirely on the price and valuation of a subset of goods, the attractors. I show that retailer's pricing decisions have to take into account not only the direct effect of prices on a product's demand but also the effect on the demand for the other products sold in the store. The optimal pricing schedule will be a decreasing function of the goods' attractiveness, and pricing below marginal cost might be optimal for some goods. The model provides a rationale for the strategy of loss leader pricing and offers an intuitive explanation to countercyclical markups. / Thesis (PhD) — Boston College, 2013. / Submitted to: Boston College. Graduate School of Arts and Sciences. / Discipline: Economics.

Buying the same product at the neighborhood store or at a shopping mall implies different carbon emissions. This paper quantifies carbon impacts of consumer choices of retail channel and shop location (where to buy), extending footprint assessments of product choices (what to buy). Carbon emissions of shopping situations are shown in the current situation, in a business-as-usual projection in 2020, and in policy scenarios with changed market shares of shopping situations. The analysis covers the product categories: groceries, clothing, and electronics & computers, from the shopping situations: neighborhood store, town center, discount store, shopping mall, and mail order/online selling. Stages of the product life cycle which differ between shopping situations are examined: freight transport, warehousing, store operation, and the last mile of the consumers' trip to the store. Carbon emissions of shopping situations amount to 2.7% of overall Austrian emissions in the base year. Dominant car use on the last mile substantially contributes to the overall footprint. In the business-as-usual scenario, carbon emissions from shopping situations increase by +33% until 2020, corresponding to 4.2% of the overall Austrian emissions target for 2020. Restricting shopping malls or supporting neighborhood stores could limit this increase to +25% and +20%, respectively. Facilitating online selling achieves no notable effects. The study underlines that an absolute reduction in private demand for household goods is necessary, as available policy instruments aiming at shopping situations fail to compensate the steady growth in private consumption.

South African clothing retailers are currently struggling to obtain and retain market share as a result of the challenging economic climate, new international market entrants and changes in consumer behaviour (MarketLine, 2018). In particular, consumer behaviour relating to men’s clothing is changing and for the first time in decades, menswear is dominating the South African clothing retail industry (MarketLine, 2018; Hastreiter & Marchetti, 2016). A lucrative market segment is the Millennial generation, born between 1980 and 2000 (Cham, Ng, Lim & Cheng, 2018; Cho, 2017). Consequently, knowledge on the clothing consumer behaviour of specifically Millennial men is crucial and the topic is still under explored, resulting in a research gap, which inspired this study. The store image perceived by the consumer has a direct influence on store choice and is important for retailer success. Since personal values ultimately drive consumer decision-making, an understanding of the personal values that motivate store choice may assist clothing retailers with their positioning (store image) to obtain customer loyalty and a sustainable competitive advantage. Gutman (1982) means-end chain (MEC) theory explains that consumers make choices based on the product/store attributes that they perceive as ultimately assisting them in reaching the desirable end-state (personal value). An MEC is a hierarchical structure that consists of three main interconnected levels, namely, attributes (means), consequences and personal values (ends), which are organised according to the level of abstraction. This study applied the MEC as a theoretical framework for exploring and understanding the role of Millennial men’s personal values in their perception of store image and their store choice. Laddering is a probing technique that is used specifically in MEC studies to uncover underlying motivations for behaviour. This technique can be used in qualitative studies (where it is referred to as soft laddering) and also in quantitative studies (where it is referred to as hard laddering). This exploratory mixed-method study started with an initial qualitative phase and the findings were subsequently used to develop the measuring instrument for the second quantitative phase. The second quantitative phase specifically used the Association Pattern Technique (APT), a hard laddering technique developed by Ter Hofstede, Audenaert, Steenkamp and Wedel (1998). Using a series of matrices, the APT reveals how consumers link desirable attributes, sought-after consequences and personal values. Using non-probability sampling methods (i.e. convenience-, snowball and quota sampling), 25 participants were recruited in the first phase and 408 workable questionnaires were obtained during the second phase. The personal in-depth interviews conducted during phase 1 used soft laddering and elicited the attributes and consequences that are pivotal in clothing store choice. Together with these attributes and consequences, the ten basic personal values of Schwartz (1992) and colleagues (2001; 2014) were used to develop the matrices for the measuring instrument used in phase 2. During this phase, data was collected using a self-administered questionnaire that was completed online. The findings of this study indicate that hedonism ultimately motivates store image and store choice. Although the personal values of “self-direction”, “achievement” and “power” were also indicated as motivational drivers within different demographic subsets and different types of clothing retailers, “hedonism” unequivocally was found to be the most relevant personal value. It is therefore hedonism that influences Millennial men’s clothing store image and store choice. From this study it is recommended that clothing retailers in South Africa, targeting the Millennial male, pay specific attention to hedonism in terms of the design and implementation of their marketing strategies to give credit to consumers’ need to associate with a store image that projects a pleasurable experience. Clothing retailers that can successfully position themselves accordingly, will most likely be favoured. / Thesis (PhD)--University of Pretoria, 2019. / Consumer Science / PhD / Unrestricted

M.. Tech. (Business Administration, Faculty of Management Sciences), Vaal University of Technology / Store choice has become an area of concern for a retailer, with no clear verdict as to what drives customers in the selection of a store. Shopping at the right store with the right social reputation may be essential for many customers. Therefore, the dynamic store choice decision can be conceptualised as a problem of deciding where and when to shop. The primary objective of this study was to determine the influence of perceived social risk and buying behaviour on apparel retail store choice among Generation Y female students within the Sedibeng district. This study focused on perceived social risk, as the literature shows that publically consumed products are the ones with a high level of social risk and the consumer’s need for social acceptance with regards to brand and store choices. This study also looked at the buying behaviour of apparel by Generation Y female students within the Sedibeng district because in today’s increasingly complex retail environment, an understanding of consumers’ buying behaviour and their knowledge of products and services is critical for high quality business decisions. In addition, an understanding of consumers’ buying behaviour will assist retailers to segment their client base and target specific customer groups with strategies designed to meet their retail needs. A quantitative research approach was used for this study and a non-probability convenience sampling procedure was adopted in this study. A structured questionnaire was utilised to survey 400 students from the two universities in the Sedibeng district. The target population for this study was restricted to Generation Y female students within the two universities, namely Vaal University of Technology (VUT) and North West University (NWU). Pre-testing and a pilot study preceded the main survey and reliabilities were measured using the Cronbach alpha coefficients. Out of 400 questionnaires sent to the participants, a total of 370 responses were received and this resulted in a return rate of 92.5 percent for the main study. The statistical analysis of the collected data included descriptive statistical analysis, correlation analysis, exploratory factor analysis, confirmatory factor analysis and structural equation modelling to test the posited hypothesis. The analysis results of the factor analysis showed that based on the Kaiser-Guttman rule, for each of the constructs (perceived social risk, buying behaviour and retail store choice) only two factors that have intrinsic value greater than one were extracted. For the perceived social risk construct, two factors, which were labelled anxiousness and significant others were extracted and for the buying behaviour construct two factors, which were labelled acceptance and reaction were extracted. Lastly, for the retail store choice construct, two factors, which were labelled word of mouth as well as convenience and physical characteristics of the store were extracted through the exploratory factor analysis technique. According to the results of the structural equation modelling analysis, the tested relationships produced satisfactory results consistent with how they were hypothesised. Specifically, it appeared that there is a direct relationship between perceived social risk and buying behaviour. Buying behaviour also has a positive effect on retail store choice and finally, perceived social risk has a good impact, but there is no significant influence on retail store choice as indicated by the findings. Insights gained from this study will assist marketers of apparel products to increase the patronage levels in their stores by expediting the factors identified in this study. Moreover, these findings may enable apparel retail store managers to comprehensively understand how perceived social risk influences a consumer’s retail store choice and to predict as well as develop a current view of the buying behaviour of female Generation Y consumers, thereby facilitating the evelopment and implementation of more effective marketing strategies in their stores. Implications of the findings are discussed and limitations and future research directions are alluded to.

The issue of customer loyalty is a main concern for grocery retailers. Retailers need to know how loyal customers are to their grocery stores; if some customers are more loyal than others; and, why that would be so. Is customer loyalty due only to how well a store manages to satisfy its customers, or are consumers inherently loyal to a greater or lesser degree? At the root of this issue is the basic question of what "store loyalty" implies. Although the concept "loyalty" is widely used within marketing, there is no consistent interpretation of the term. Rather, "loyalty" is used for describing related, but different, phenomena, and thus a choice has to be made of which of these phenomena to cover in a specific study. In grocery shopping, households have been shown to use several stores; hence a question of great consequence for retailers is to understand how and why households divide their purchases across stores. To contribute to the understanding of this phenomenon, this thesis focuses on the degree of behavioral loyalty and its causes. The thesis is based on an empirical study of household grocery shopping that uses a purchase diary, a questionnaire, and in-depth interviews as data collection methods. One of the main findings of the research is that the degree of behavioral loyalty is affected by shoppers' evaluations of stores, that is, a factor a store manager can influence, but also by shopper characteristics such as the degree of price orientation and interest in personal contact with store personnel. An extension of the findings from the quantitative part of the study is provided by the in-depth interviews that explore how households manage the entire task of grocery shopping. / Diss. Stockholm : Handelshögsk., 1999

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Magister Commercii - MCom / This study aimed to shed insight on how store image influences customer perception. Everything customers see, hear and experience is linked together and forms their overall perception of a store. The first objective of the study was to analyze whether a relationship exists between the store choice and customers biographical details. The second objective is to identify components of store image that shoppers may consider important in store selection process; how the case company can use this knowledge and develop the business and customer service even further. Eight dimensions of shopping enjoyment are proposed and a 47-item measure was developed to measure 155 consumer perceptions from various malls in the geographical area of Cape Town. Findings indicate that there are no statistically significant relations between store image and consumers demographic factors such as age, gender, level of education, marital status, occupation and income. Furthermore, respondents rated physical characteristics of the store which included factors such as the neatness and cleanliness of the store, its decor, the wideness of the aisles, air-conditioning and lighting as the most important element when making a store choice. The implications of these results are discussed, together with practical and theoretical implications, study limitations, and future research directions.