Capturing Geographically Localized Misspecification Error in Retail Store Choice Models

1995 ◽  
Vol 32 (1) ◽  
pp. 103 ◽  
Author(s):  
Roland T. Rust ◽  
Naveen Donthu
Keyword(s):  
Choice Models ◽  
Retail Store ◽  
Store Choice ◽  
Misspecification Error

Does the Brand Equity of a Retail Store Mediate the Relationship between Store Choice and Store Loyalty?

GIS Business ◽  
2020 ◽  
Vol 14 (6) ◽  
pp. 1050-1061
Author(s):  
Sathish, ◽  
Rajendra Kumbharjuvenkar
Keyword(s):  
Brand Equity ◽  
Developing Nations ◽  
Retail Store ◽  
Consumption Patterns ◽  
Disposable Income ◽  
Retail Industry ◽  
Store Loyalty ◽  
Store Choice ◽  
Retail Organizations ◽  
The Relationship

The retail industry is changing worldwide, especially in developing nations. This retail transformation is a result of changing lifestyles, increased disposable income, growing brand consciousness and changing consumption patterns of consumers. In the process of meeting these growing expectations of consumers, there are noteworthy initiatives adopted by retail organizations. Brand equity of a retail store is seen as a major factor influencing buying decisions and repurchases intent of consumers’ world over.

scholarly journals A Regression Analysis of Generation Y Female Students' Perceptions on Social Risk, Buying Behaviour and Apparel Store Choice

2017 ◽  
Vol 9 (1(J)) ◽  
pp. 157-165
Author(s):  
Bakae Aubrey Mokoena ◽  
Eugine Tafadzwa Maziriri
Keyword(s):  
Regression Analysis ◽  
Generation Y ◽  
Retail Store ◽  
Female Students ◽  
Future Research ◽  
Social Risk ◽  
Buying Behavior ◽  
Cross Sectional Survey ◽  
Store Choice ◽  
Cross Sectional

In the present post-modern era, Generation Y female students are faced with a discerning process of selecting the optimum apparel retail store to be loyal to and from which to buy clothing products. Therefore, the active store choice decision is conceptualized as the difficulty of determining someplace and when and where to shop. The main objective of the study was to examine the relationship between social risk, buying behavior and store choice within the apparel retail industry. The study is positioned within a post-positivism quantitative paradigm and adopts a cross-sectional survey approach collecting data from 400 conveniently selected university students. Scale purification was done through pre-testing and pilot testing. Through multiple regression analysis, the results show that social risk and buying behavior significantly influences retail store choice in an apparel retail setting. The findings indicated that there is a positive and significant association between perceived social risk, buying behavior and retail store choice. Based on the outcomes of the study, recommendations were suggested to retail managers to develop retailing strategies that charm the female Generation Y consumers. In addition, limitations and future research directions are referred to.

Unobserved Heterogeneity in Store Choice Models

Compstat ◽  
2002 ◽  
pp. 611-616
Author(s):  
Ignacio Rodríguez-del-Bosque ◽  
Ana Suárez-Vázquez ◽  
Ignacio Moral-Arce ◽  
Juan Rodríguez-Poo
Keyword(s):  
Unobserved Heterogeneity ◽  
Choice Models ◽  
Store Choice

scholarly journals A Regression Analysis of Generation Y Female Students’ Perceptions on Social Risk, Buying Behaviour and Apparel Store Choice

2017 ◽  
Vol 9 (1) ◽  
pp. 157 ◽  
Author(s):  
Bakae Aubrey Mokoena ◽  
Eugine Tafadzwa Maziriri
Keyword(s):  
Regression Analysis ◽  
Generation Y ◽  
Retail Store ◽  
Female Students ◽  
Future Research ◽  
Social Risk ◽  
Buying Behavior ◽  
Cross Sectional Survey ◽  
Store Choice ◽  
Cross Sectional

In the present post-modern era, Generation Y female students are faced with a discerning process of selecting the optimum apparel retail store to be loyal to and from which to buy clothing products. Therefore, the active store choice decision is conceptualized as the difficulty of determining someplace and when and where to shop. The main objective of the study was to examine the relationship between social risk, buying behavior and store choice within the apparel retail industry. The study is positioned within a post-positivism quantitative paradigm and adopts a cross-sectional survey approach collecting data from 400 conveniently selected university students. Scale purification was done through pre-testing and pilot testing. Through multiple regression analysis, the results show that social risk and buying behavior significantly influences retail store choice in an apparel retail setting. The findings indicated that there is a positive and significant association between perceived social risk, buying behavior and retail store choice. Based on the outcomes of the study, recommendations were suggested to retail managers to develop retailing strategies that charm the female Generation Y consumers. In addition, limitations and future research directions are referred to.

scholarly journals Spatial Shopping Behavior in a Multi-Channel Environment: A Discrete Choice Model Approach

REGION ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 1-27
Author(s):  
Thomas Wieland
Keyword(s):  
Transaction Costs ◽  
Travel Time ◽  
Online Shopping ◽  
Location Theory ◽  
Choice Models ◽  
Previous Literature ◽  
Shopping Behavior ◽  
Store Choice ◽  
Retail Location ◽  
The Impact

Spatial impacts of online shopping are discussed frequently in retail geography. Here, online shopping is mostly regarded as a central driver of competition for physical retailing and its locations, such as town centers or malls. Due to its high popularity, cross-channel shopping is sometimes considered to be a support for physical retailing. However, traditional retail location theory does not consider shopping channels other than in-store shopping. Furthermore, although online shopping is far too important to be neglected in examining consumer spatial shopping behavior, there is an obvious lack in the previous literature towards incorporating multi- and cross-channel shopping into store choice models. The present study aims to identify the main drivers of store choice on the basis that both in-store and online shopping alternatives are available, as well as the opportunity for cross-channel shopping. Taking into account previous literature on both physical store choice and multi-channel shopping, hypotheses on the impact of different shopping transaction costs (such as travel time, delivery charges, or uncertainty with respect to the stores' assortment) were derived. Based on a representative consumer survey, real past shopping decisions in three retail sectors (groceries, consumer electronics [CE], and furniture) were collected. The econometric analysis of empirical store choices was performed using a nested logit model which includes both physical and online stores. The results confirm several assumptions of classical retail location theory as well as previous findings from single-firm studies and stated choice experiments on multi-channel shopping behavior. Travel time to physical stores reduces consumer utility and store choice probability, respectively. Consumer sensitivity towards travel time decreases with decreasing purchase frequency of the desired goods. Delivery charges also decrease the likelihood of choosing a store. The impact of cross-channel integration on store choice (assuming the reduction of consumer transaction costs) is considerably lower than expected and differs between retail sectors. While furniture retailers profit from enabling cross-channel shopping, there is no such competitive advantage found for grocery and CE retailers. The positive effect of assortment on condition of diminishing marginal utility is confirmed for grocery stores and CE stores, but not for furniture stores. From a theoretical perspective, this study shows that multi- and cross-channel shopping behavior does not contradict the main thoughts of classical retail location theory. From a practical perspective, the study is a contribution as store choice models play a significant role in both business location planning and governmental land use planning.

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