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Previous literature suggests that changing the physical store environment will affect cognitive, emotional and
behavioral reactions of customers (Donovan, Rossiter, Marcoolyn, & Nesdale, 1994; Eroglu & Machleit,1990;
Machleit & Eroglu, 2000; McGoldrick, Betts, & Keeling, 1999; Potter, 1984) and the environmental
conditions are likely to have a detrimental effect on the nature of service interactions (Bellizzi & Hite, 1992;
Bitner, 1992; Prus,1986). The media has widely documented aggressive consumer behaviors in the Black
Friday environment (Barbaro, 2006; Cline, 2005; Jones, 2006; Rozhon, 2004). The Frustration Aggression
Theory developed by Dollard, Miller, Doob, Mowrer, and Sears (1939) served as the conceptual framework
for this study. These researchers proposed that frustration and aggression have a cause and effect relationship,
as frustration causes aggression and results from frustration. Frustration is a feeling of tension that occurs
when efforts to reach certain goals are blocked. When this occurs, various aggressive behaviors can result.
Black Friday shopping is a phenomenon where aggressive human behavior may surface as customers are
frustrated by long lines, crowded stores, and limited product availability of sale items. Previous Black Friday
research has focused on sales reports, however, the reports are not academically based and have hav not been
published in the academic literature. The current study used observational methodology to analyze the
shopping behavior of Black Friday consumers, providing a unique contribution to the literature. Observing
shoppers’ behavior on Black Friday allowed the researchers to measure actual behavior, as opposed to relying
on self-reports from the media. In addition, observers recorded consumers’ comments, which afforded some
insight into the shoppers’ state of mind.
2. Methodology
2.1 Design
A categorical instrument developed by the researchers was divided into three sections: in-line observations
prior to the store opening, store entry observations, and individual customer observations. Each instrument
also provided an open-ended item for observers to record general consumer comments heard in-line and in the
store. Operational definitions were developed by the researchers by adapting previous research by Ekman
(1992), Gottman, et al. (1995), and Lee and Dubinsky (2003). After receiving university approval for the
instrument, a pilot test was conducted. Nine items were developed for the in-line observation and measured
the approximate number of customers waiting for the doors to open, the overall emotions and behaviors
exhibited by the customers, the presence and absence of shopping companions, and customer demographics.
Cronbach’s alpha, a coefficient of reliability, was computed for the in-line section items. Results revealed an
alpha coefficient of .81, indicating that the section had good reliability.
Seventeen individual items measured the emotions and behaviors of customers as a group upon store entry.
Observers circled the approximate percentage of customers that exhibited each behavior under question (e.g.,
courteous, punching, tripping, cart bumping). Percentages were presented to the observers as categories; each
category represented 10% of the consumers (e.g., 0-10%, 11-20%, 21-30%). Other items in the “store entry”
section of the instrument assessed the number of customers who fell down or were injured, the length of time
the chaos upon store opening lasted, and the products sought by customers once inside the store. Products
sought by consumers were measured in the same manner that behaviors were, that is, using categories of
percentages. Cronbach’s alpha was .73 for the store entry observations section. Individual consumer behavior
instrument items included gender, age, and the emotions and behaviors exhibited by the individual shopper.
Observers circled emotions and behaviors that individual shoppers displayed from a list of 15 potential
emotions and 20 potential behaviors. Cronbach’s alpha was .70 for the individual customer behavior items.
Undergraduate and graduate students serving on the observation team attended two three-hour training
sessions. Each observer selected her or his own retail store as an observation site. Upon arrival at the store,
observers documented in-line customer behavior. When the doors to the retail store were opened, observers
documented the emotions and behavior of consumers upon store entry. After the “rush” during store entry,
the observers selected one consumer and documented her or his emotions and behavior. Observers continued
recording until ten observations of individual consumer emotions and behavior were completed.
3. Results and Discussion
Overall, 22 observers completed 222 individual observations. Chronbach’s alpha coefficient was computed to
establish the reliability of the instrument. Cronbach’s alpha coefficient values range from 0 to 1, with higher
numbers indicating stronger reliability. Results revealed an alpha of .40, indicating low, but acceptable,
reliability. The dimensionality of the individual behavior item measure was analyzed using an exploratory
factor analysis with an orthogonal rotated factor solution (i.e., varimax) to maximize the variances of the
factors. Findings indicated that the items accounted for 65% of the total variance within in-line behaviors and
revealed 11 factors with eigen values greater than one.