Loren V. Geistfeld

The effect of consumer perceptions of store attributes on apparel store preference

Consumer perceptions of retail store attributes for a set of particular stores were examined to determine their effect on store preference. Respondents rated 13 stores. Four variables were found to affect store preference using forward stepwise logistic regression: type of clothing desired in stock, outside store appearance, shopping hours, and advertising. Significance of the effect of store attributes on store preference varied by store type. In addition, associations between customer perception of store attributes, education and age were observed. Implications for researchers and practitioners are discussed.

Cultural differences between Korean and American apparel web sites

Purpose – The purpose of this paper is to examine whether cultural differences could explain differences between Korean and American apparel web sites.Design/methodology/approach – The contents of American and Korean apparel web sites are compared. The chi‐square test of independence is used to determine significant differences between the contents of the two countries apparel web sites.Findings – The paper finds that American web sites provide specific information related to products and online purchase of products, while Korean web sites provide information related to consumers relationships to the larger community. This difference could be due to cultural differences: the Korean culture tends to reflect collectivism while the American culture tends to reflect individualism.Research limitations/implications – The fundamental limitation of this research is that it is descriptive.Practical implications – This research suggests that transcultural web sites may not be appropriate and that e‐tailers need to...

Consumers' Restaurant Choice Behavior and the Impact of Socio-Economic and Demographic Factors

ABSTRACT This study investigates economic and socio-demographic factors influencing food facility choice for an evening meal. Multinomial logistic regression analysis was conducted using data from the 1994-1996 Continuing Survey of Food Intakes by Individuals (CSFII) and the Diet and Health Knowledge Survey (DHKS). Results indicate that income, age, household size, household composition (presence of a young child), urbanization, day of the week, and season of the year affect the choice of a particular foodservice facility for an evening meal. The demand for evening meals at full-service restaurants is likely to increase due to the aging of “baby boomers,” increasing household income, and decreasing household size. Quick-service restaurants, as they strive to maintain and grow market share, might consider focusing on the needs of households with young children.

Research methods in foodservice industry: binary logit analysis.

Abstract This paper discusses and presents a binary logit model used to identify factors affecting the decision to dine out. The purpose of this paper is to convey an understanding of the logit model and to facilitate use of the model for research related to the foodservice industry. Data used in the binary logit application come from the 1994-1996 Continuing Survey of Food Intakes by Individuals (CSFII) and the Diet and Health Knowledge Survey (DHKS). The results of the empirical study shows that income had a positive effect on the probability of dining out, and those who were employed full time, part time, or temporarily unemployedwere more likely to dine out than unemployed respondents. Household size and age of the respondents had a negative effect on the probability of dining out. Education and gender did not affect the probability of dining out, while race of the household manager had a significant effect on the probability. White household managers were more likely to dine out than non-white household managers. The effects of urbanization and region were not significant.