The income effect in personal shopping value, consumer self-confidence, and information sharing (word of mouth communication) research.
Paridon, Terrence J. ; Carraher, Shawn ; Carraher, Sarah C. 等
ABSTRACT
Theory predicts that income should influence a complex set of
relationships involving personal shopping values, consumer
self-confidence, and word of mouth communication. Nevertheless,
irrespective of income level, findings indicate that social
self-confidence mediates the effects of hedonic experiences upon word of
mouth communication. Similarly, the direct effects of utilitarian value
upon personal self-confidence are also invariant across income groups.
Findings involving the effects of personal confidence upon word of mouth
communication are inconclusive. However, income does influence the
nature of the relationships between hedonic experiences and social
self-confidence as well as the significance of the effects involving
utilitarian value and social self-confidence. The implications for these
findings are discussed from the perspectives of retail management, site
location decisions, and the direction of future research efforts.
THE INCOME EFFECT IN PERSONAL SHOPPING VALUE, CONSUMER
SELF-CONFIDENCE AND INFORMATION SHARING RESEARCH
The marketing discipline's sustained stream of research into
the nature of hedonic and utilitarian constructs has produced a
significant body of literature that has enhanced knowledge about
effective marketing practices. For example, Kozinets et al. (2002)
emphasized that retail environments should incorporate hedonic and
epistemic (utilitarian) designs (cf. Titus & Everett, 1995) when
formulating retail themes. Such recommendations rested on solid
empirical grounds. To be more specific, research indicates that the
level of the shopping environment's hedonic value contributed
significantly to explaining differences in shopper's reactions to
mall and store atmospheres (Babin, Darden & Griffin, 1994; Michon,
Chebalt & Turley, 2005; Wakefield & Baker, 1998). Similarly,
findings indicate that utilitarian value is a factor in clarifying the
nature of purchasing behavior (Babin & Attaway, 2000; Babin, Darden
& Griffin, 1994).
The effects of hedonic and utilitarian experiences upon
shopper's responses to marketing activities extend beyond immediate
reactions to the shopping milieu. That is, hedonic experiences and
utilitarian outcomes have been researched as antecedent variables in
word of mouth communication. A significant causal relationship between
hedonic atmosphere and patronage intentions included the shopper's
willingness to recommend the store to a friend (Grewal, Baker, Levy,
&Voss, 2003). Other research (Paridon, 2005a, 2005b) suggests the
viability of a model in which utilitarian value directly affects
personal outcomes confidence while hedonic value influences social
outcomes confidence. However, only social outcomes confidence has been
found to mediate the effects of hedonic value upon information sharing.
The aforementioned contributions to the discipline's
understanding of interpersonal influence notwithstanding, research
suggest the possibility of extending the significance of those initial
results involving word of mouth communication. To be more specific,
interest in the potential for demographics to moderate findings in the
area of consumption and interpersonal influence is not unknown. For
example, Holbrook and Hirschman (1982) postulated an income effect and
an income difference was expected but not confirmed in research on
hedonic shopping motivations (Arnold & Reynolds, 2003). Other
research has hypothesized and confirmed the interaction effects of
hedonic/functional usage, social/personal consumption context, and
income upon purchasing behavior (Wakefield & Inman, 2003). Since
purchasing behavior frequently precedes word of mouth, this study
examines income as a possible moderator in research involving personal
shopping value, consumer self-confidence, and word of mouth
communication.
CONCEPTUAL DEVELOPMENT
Building upon a number of studies about the availability of product
information, merchandising practices, and store design, Titus and
Everett (1995) proposed the consumer retail search process model. It
postulates that the search for product information may be guided by
epistemic and hedonic constructual systems. The epistemic system,
representing the shopper's system of logic, gives rise to a need
for the design of in-store information displays and merchandising
practices, the sine qua non of the epistemic system. In other words,
such displays and practices enable the shopper to focus upon utilitarian
needs. In turn, fulfillment of these task oriented needs leads to a
satisfactory utilitarian experience, an experience that has been defined
as the " ... work ... " (Babin, Darden, and Griffin, 1994, p.
646) associated with shopping. The emotionally laden hedonic system is
the sensate orientation that accompanies the shopping experience. This
sensate orientation enables the shopper to experience hedonic value,
which is defined as the emotional response attributable to the "
... potential entertainment and emotional worth ... " of the
shopping event (Babin, Darden, and Griffin, 1994, p. 646). The retail
search model suggests that the individual and the combined effects of
these two constructual systems may lead to an efficient, pleasurable,
and satisfying shopping experience.
Mall and store research supports the aforementioned hedonic and
epistemic (utilitarian) postulates of the model. In a mall study, a
sensate environmental factor was causally related to the excitement
associated with the shopping trip and a desire to continue shopping
(Wakefield & Baker, 1998). Similarly, olfactory impressions
generated a favorable response to the mall environment as well as
product related effects (Mattila & Wirtz, 2001; Michon, Chebat &
Turley, 2005). In store research, a positive emotional state explained
one's satisfaction with the shopping experience (Babin &
Darden, 1996). In other store research, shopper's hedonic reaction
to, and utilitarian orientation towards, the shopping experience were
associated with their overall satisfaction with the marketplace
offerings (Babin, Darden & Griffin, 1994; Griffin, Babin, &
Modianos, 2000). In other mall research, Shim and Eastlick (1998) report
a composite measure of knowledge about the attributes of one's most
frequently shopped mall, arguably utilitarian based. Emotional variables
contributed to one's overall frequency of shopping and average
monthly mall expenditures. Knowledge based and emotional variables
contributed also to an increase in the amount of time and money spent in
shopping (Babin, Griffin & Boles, 1997).
Efficient, pleasurable, and satisfying shopping experiences are
thought also to contribute to the consumer's personal and social
confidence in making decisions (Bearden, Hardesty & Rose, 2001).
According to the authors, consumer self-confidence is the " ...
extent to which an individual feels capable and assured with respect to
his or her marketplace decisions and behaviors" (p. 122). Since the
decision to shop involves explicit marketplace behaviors, one's
hedonic and utilitarian shopping experiences should influence the
consumer's personal and social self-confidence. Stated somewhat
differently, a shopper who feels capable and assured in her shopping
experiences will experience a minimal level of doubt about her
consumption related social and personal self-confidence (cf. Folkes
& Kiesler, 1991). Thus, the first research hypothesis is:
H1: Hedonic and utilitarian shopping experiences will positively
influence personal and social self-confidence.
Consumer Self-Confidence
When consumers interact successfully with shopping environments,
their acquisition of personal and social information is grounded in
their hedonic experiences and their utilitarian outcomes. In turn, this
information, in the form of word of mouth communication (Feick, Price
& Higie, 1986; Paridon, 2005a; Reynolds & Darden, 1971; Summers,
1970), is passed along to their friends and acquaintances (Titus &
Everett, 1995; see also Higie, Feick & Price, 1987). Nevertheless,
this transmission should not be thought of as automatic. That is, since
the personal and social nature of the shopping experience (Tauber, 1972)
leads to the acquisition of information that will influence one's
personal outcomes and social outcomes self-confidence (Bearden et al.,
2001), and since self-confidence influences word of mouth communication
(Reynolds & Darden, 1971; Summers, 1970), one's personal
outcomes and social outcomes self-confidence should influence one's
word of mouth communication. Accordingly, the following research
hypotheses appear tenable:
H2: Word of mouth communication will be positively influenced by
consumer social outcomes and personal outcomes confidence.
H3: Hedonic value and utilitarian value operating through social
outcomes confidence and personal outcomes confidence will positively
effect word of mouth communication.
Income Effect
Theorists and researchers have postulated a differential income
effect involving hedonic and functional consumption and usage. For
example, Holbrook and Hirschman (1982) recognized the possibility that
income might contribute to explaining differences in hedonic
consumption. Similarly, in discussing hedonic consumption situations,
Caldwell (2001) and Richards (1999) emphasize the potential for an
income effect. Support for this effect exists. To be more specific,
Blanchflower and Oswald (2004) report that income influences one's
happiness in life, with happiness generally considered one indicator of
an orientation towards hedonic consumption (Batra & Ahtola, 1990;
Voss, Spangenberg, and Grohmann, 2003).
The relationship between income and utilitarian orientation is not
so straightforward. For example, in discussing the complex nature of
relationships between income and experiential as well as utilitarian
orientations, Okada (2005, p. 50) states, " ... it might be
predicted that financial constraints will increase the need for
justification of choice and therefore amplify the magnitude of the
reversal in relative preferences between hedonic and utilitarian
alternatives." Specifically, any effect of income upon hedonic and
utilitarian choices might be subject to the purchase consumption
situation. Direct evidence for such a relationship exists. Wakefield and
Inman (2003) hypothesized a hedonic/functional usage, a consumption
related social and personal self-confidence, and an income effect upon
purchasing behavior. In discussing their findings, the authors report
that the social/personal consumption context, the intended
usage--hedonic or functional, one's income, and the quantity
purchased interact in contributing to understanding differences in the
price's shopper's pay. An income effect was associated with
one's intended usage--hedonic/functional--as well as the social
personal context of the consumption situation. When income was taken
into consideration, the causal nature of the findings was altered.
While the preceding research involving an income effect is
conceptually significant, the findings do not enable the formulation of
specific income effect hypotheses in this study. Nevertheless, the
research indicates that income has the potential to contribute to
understanding shopping behavior. This potential to contribute appears to
be related to income's role as a moderator or " ... a
qualitative (e.g. sex, race, class) or quantitative (e.g. level of
reward) variable that affects the direction and/or the strength of the
relation between an independent or predictor variable and a dependent or
criterion variable" (Baron & Kenny, 1986, p. 1174).
Accordingly, the final research hypothesis is:
H4: Income will moderate the effects of personal shopping value and
consumer self-confidence in word of mouth communication research.
METHODOLOGY
Data Collection
Marketing students enrolled in an advanced marketing course at a
southwestern regional university were trained and given instructions in
personal interviewing procedures and techniques. Since female shoppers
account for approximately 80 % of total retail expenditures, women were
the subjects in the study. In two surveys spaced approximately six
months apart, students contacted their adult non-student female friends
and acquaintances and asked them to complete a self-administered
structured questionnaire about their department store shopping
behaviors. Respondents were asked also to provide a first name and
telephone number for verification purposes. Students were instructed to
remain content neutral and answer only questions about the instructions
for completing the questionnaire.
For each survey, a quota-sampling plan was adopted in an attempt to
obtain a representative demographic cross section of respondents (cf.
Bearden, Hardesty, & Rose, 2001). An analysis of the demographic
data for the 458 respondents, 258 from the first study and 200 from the
second study, revealed that the typical respondent is white, has at
least one child, is employed at least part time, and is thirty-nine
years old. She resides in a household with an annual average income of
$40,000.00 dollars and has attained at least a partial college
education. A convenience sample of 60 respondents, two per student
interviewer, was contacted by telephone and asked to verify their
participation. All interviewees responded that they had completed the
questionnaire.
Testing for an income effect required partitioning the sample of
458 into two or more groups. Since structural equation modeling was the
preferred mode of analyzing the data, statistical considerations
associated with the technique influenced the partition decision. When
the general rule of thumb for a sample of size 200 for structural
equation modeling is considered along with research suggesting that the
minimum acceptable size to evaluate SEM fit statistics is 150 (Hu and
Bentler, 1998), the respondent base of 458 could be partitioned into
either two or three groups. Since three groups would involve a partition
of approximately 150 per group, the bare minimum to assess the fit
statistics, the decision was made to split the respondents into two
groups.
A review of Census Bureau statistics for the MSA indicates that
approximately fifty percent of the households reported an annual
household income of less than thirty five thousand. Accordingly, this
value was used as the partitioning point. The partitioned database
consisted of 222 respondents with income less than thirty five thousand,
and 236 with income equal to or greater than thirty five thousand.
Scale Indicators
Recent research in measuring latent constructs has documented
acceptable values of reliability and validity coefficients for unipolar scales (Bearden et al., 2001; Clark & Goldsmith, 2005; Dabholkar,
Thorpe & Rentz, 1996; Darden & Babin, 1994; Feick & Price,
1987; Kim & Jin, 2001). Preliminary research involving the
measurement of information sharing was consistent with those findings:
unipolar construct measurement generated comparable internal consistency and construct reliability values. Similarly, initial research into the
viability of the proposed model indicated that improvements in construct
reliability could be attained by using shortened unipolar measures
(Paridon, 2005a; 2005b). The original sets of construct indicators for
the model were modified accordingly. The first change was the deletion of the "gift giving," and the "agonizing over
purchasing" measures from the original personal and social
self-confidence scales, respectively (Bearden et al., 2001). Responses
to the remaining four indicators for each self-confidence construct were
obtained by asking interviewees to indicate on a seven point Likert-type
scale the extent to which they agreed that the statement characterized
them.
Similar issues involving reliability resulted in selecting four
hedonic orientations, and four utilitarian value indicators (Babin et
al., 1994; Griffin et al., 2000) that demonstrated, by their
standardized factor loading, an acceptable level of construct validity.
However, previous research by Paridon (2005a; 2005b) suggested that
deletion of a negatively worded hedonic construct indicator would result
in improved reliability and variance extracted values. Further research
into utilitarian measurement (Voss, Spangenberg & Grohmann, 2003)
suggested an improvement in the original four indicator utilitarian
scale might be realized by incorporating satisfaction as a new measure.
The decision to include satisfaction was guided in part by findings
indicating that satisfaction was significantly and positively related to
utilitarian value (Babin, Darden, & Griffin 1994). Other research
suggests that satisfaction may also be a viable indicator when measuring
market place experiences. Bagozzi, Gopinath, and Nyer (1999) state (p.
201), "We suspect that previous studies finding discriminant
validity for measures of satisfaction can be explained by the way the
items were presented on the questionnaire (e.g. separation of measures
of satisfaction from measures of other positive emotions) or the lack of
a sufficient number of positive emotions." A context effect (cf.
Podsakoff, MacKenzie, & Lee, 2003) can be expected when using
satisfaction as an indicator, and the findings of Babin, Darden, and
Griffin (1994) confirm the potential for such an effect, thereby
suggesting the viability of satisfaction as an indicator for utilitarian
measurement.
One additional change was incorporated into the set of indicators
used to measure utilitarian value. Research involving retail information
sharing (Paridon 2005a; 2005b) indicated that deleting the negatively
worded utilitarian statement "I couldn't buy what I really
needed," a product related measure, could lead to improved
measurement statistics. Thus, utilitarian value was assessed using two
original utilitarian value indicators and two substitute measures of
satisfaction and usefulness. For these eight personal shopping value
measures, using a conventional seven point Likert type format,
respondents were asked to indicate the extent to which they agreed with
the item.
The final set of construct measures emerged from research in retail
information sharing (Paridon, 2004), and word of mouth communication
(Feick et al., 1986; Higie et al., 1987). Three of the ten indicators
from the retail information sharing scale were adopted and supplemented
with one item that explicitly addressed the altruistic nature of word of
mouth communication (Feick et al., 1986; Higie et al., 1987; Paridon,
2006). For each of the four indicators, participants were asked to rate
the extent to which they agreed, on a seven point Likert type scale,
with the statement.
Although not developed as a conceptual complement to or as a
theoretical foundation in this study, the questionnaire also contained,
for comparison purposes, the complete market maven scale (Feick &
Price, 1987), an accepted measure of one's propensity to engage in
general marketplace conversations. In addition to the previously
discussed, standard semantic anchors, the indicators for all five
constructs and the market maven measures contained numeric anchors with
one representing the least favorable interpretation of the statement and
seven indicating the most favorable interpretation of the statement.
Standard demographic measures--gender, age, marital status, employment
status, annual household income, education, and ethnicity--were included
also.
ANALYSIS AND RESULTS
As an initial analysis for evaluating multiple indicator scales,
Hair, Anderson, Tatham, and Black (1998) recommend using the Bartlett
test of sphericity and the Kaiser-Meyer-Olkin (KMO) measure of sampling
adequacy. For each of the five constructs in both income groups, the
significance level for the Bartlett test was less than .01. In the lower
income (upper) group, the KMOs were as follows: hedonic orientation, .82
(.83); utilitarian value, .81 (.84); information sharing, .79 (.80);
social confidence, .80 (.73); personal confidence, .75 (.69).
(Comparable statistics characterize the original two data sets.) Sets of
indicators whose KMO value is .80 or greater are characterized as
meritorious while KMO values that exceed .70 are considered adequate.
For both income groups, the significance levels for the Bartlett
tests for the market maven scale were less than .01. The KMO values were
.82 and .83, lower income group and upper income group, respectively.
Accordingly, an initial statistical comparison of the five constructs
and the market maven scale made use of Pearson product moment
correlations. The resulting pattern of coefficients, summarized in Table
1, suggests an acceptable level of agreement between the market mavenism
and the constructs of interest in this study. One would expect that
shoppers who share information about their shopping experiences; exhibit
social confidence; enjoy shopping; and shop for what they want would
also score high on the market maven scale. Furthermore, the correlation
between personal confidence and market mavenism is in partial agreement
with expectations: the negatively worded personal confidence should
correlate negatively with market mavenism. This pattern holds for the
lower income group but not the higher income group. The remaining
correlations of Table 1 are offered as descriptive measures of the
relationships between the five constructs of interest in this study.
Structural Equation Model Analysis
Non-nested model testing is appropriate for comparing covariance structure models across groups (Joreskog & Sorbom, 2001; Rust, Lee,
& Valente, 1994). Accordingly, the conceptual model depicted in
Figure 1 was subjected to LISREL 8 (Joreskog & Sorbom, 2001) group
analyses.
[FIGURE 1 OMITTED]
Prior to testing the hypotheses, a SEM analysis focused upon
comparing the two original data sets using the group analysis procedures
advocated by Joreskog and Sorbom (2001). The analysis involved freely
estimating the structural equation coefficients for each group. It
generated an overall minimum fit function chi square of 918.32 with 326
degrees of freedom, p < .01, indicating a lack of exact fit. The
goodness of fit statistics for this analysis were: a comparative fit
index (CFI) .94; a root mean square error of approximation (RMSEA) of
.09; and a standardized root mean square residual (SRMR) of .07.
Comparing the observed CFI and SRMR values with findings that reasonable
true (nonzero factor covariance), simple (indicators loading only on one
factor), and robust (measured variables not multivariate normally
distributed) models of sample sized 150 to 5,000 (True, simple, and
robust characterizes all models and data sets used in this study.),
should generate CFI values of .90 to .96 and SRMR values of .06 to .11
(Hu & Bentler 1999, p. 16), leads to accepting the model as
reasonable. This conclusion is buttressed by Hu and Bentler's
finding that RMSEAs and SRMRs of .09 and .07 for true, simple, and
robust models lead to acceptable Type 1 error rates (1999, p. 26).
Accordingly, each structural equation coefficient was examined for
invariance across the two survey groups. The procedure required a series
of LISREL 8 SEM analyses that constrain each structural equation
coefficient to be equal across the two groups (cf. Babin and Darden,
1995). The chi square value of the freely estimated analysis is then
subtracted from the chi square value of the constrained analysis. If
this chi square value with one degree of freedom is statistically
significant, the groups differ with respect to the constrained
coefficient. (Acceptable values of CFIs, RMSEAs, and SRMRs should also
characterize the constrained analyses. As expected, each of the six
analyses involved in this modeling generated CFIs, RMSEAs, and SRMRs of
approximately .94, .09, and .07.) The chi square difference values are
summarized in Table 3. It should be noted that the survey groups differ
with respect to the effects of social confidence upon information
sharing, and utilitarian value upon social confidence. Since no major
changes in the macro environment occurred during the six month interval
between administering the surveys, these differences are most likely
attributable to variation between the two survey groups.
The modeling procedures for testing the hypotheses were similar. In
the first LISREL 8 analysis of the income group data, the structural
equation coefficients for both income groups were constrained to be
equal. The minimum fit function chi square was 829.13 with 332 df, p
< .01. In the second income group analysis, the six structural
equation coefficients for both groups were freely estimated. This
analysis produced a chi square value of 805.68 with 326 df, p < .01,
with a CFI of .95, a RMSEA of .08, and a SRMR of .07. The chi square
difference of 23.45 with 6 degrees of freedom is significant beyond .01.
Since this chi square difference test indicated that income effects the
magnitude of the structural equation coefficients, six additional
structural equation models were analyzed in order to identify the
invariant structural relationships.
As before, the analysis for income effects requires testing of chi
square difference values derived from the constrained and the freely
estimated structural models. However, since the measurement properties
of the indicator variables influences the confidence that may be placed
in a SEM analysis, an evaluation of these measurement properties prior
to structural analysis appears warranted. The standardized factor
structures and loadings of the freely estimated baseline model contained
in Table 2 were used to evaluate the reliability and discriminant
validity of the constructs. Using the commonly accepted standard that
factor loadings of an indicator serve as a measure of its construct
validity, an evaluation of the loadings in Table 2 suggests each
indicator attains an acceptable (greater than or equal to .50) level of
construct validity. Construct reliability estimates were calculated
using standardized factor loadings (Fornell & Larcker, 1981). The
reliability estimates (coefficient alpha in parentheses) for the
lower/upper income groups are: hedonic shopping orientation, .86/87
(.85/.87); utilitarian value, .88/.91 (.88/.90); social outcome
confidence, .86/.83 (.86/.82); personal outcome confidence, .90/.84
(.90/.85); and information sharing, .81/85 (.81/.84). For both income
groups, the more conservative average variance extracted values of the
five constructs exceeded the commonly accepted value of .50. The
specific lower/upper income values are: hedonic shopping orientation,
.60/.62; utilitarian value, .65/.71; social outcome confidence, .60/.55;
personal outcome confidence, .69/.58; and information sharing, .52/.58.
The average variance extracted values were used to evaluate the
discriminant validity of the constructs. The structural equation model
test for discriminant validity requires the square of the construct
correlations to be less than both variance extracted values (Fornell
& Larcker, 1981). For each income group, the results of this
comparison test indicated the existence of discriminant validity for all
ten pairwise comparisons.
Structural Equation Effects
Hypotheses one and two require consideration of direct structural
equation effects, while hypothesis three requires indirect hypothesis
testing. These three hypotheses were tested by using the structural
equation coefficient values generated by the freely estimated LISREL 8
income group analysis or the baseline model. Hypothesis four involved
the aforementioned chi-square difference test for moderation. Testing
the latter hypothesis required the use of the baseline model as well as
six additional LISREL 8 models.
The direct standardized structural equation coefficients and the
statistical significance of the LISREL 8 estimates obtained from the
separate income groups in the aforementioned freely estimated baseline
analysis are contained in Figure 1. Numerous similarities and
differences across the income groups are evident. First, a hedonic
orientation effect upon both social confidence and personal confidence
characterizes the upper income group while the lower income group
exhibits significant hedonic orientation and utilitarian value effects
upon social confidence. Both income groups are characterized by a
significant relationship between utilitarian value and personal outcomes
confidence. The negative sign between the utilitarian and the personal
outcomes constructs is consistent with the wording conventions of both
constructs. Thus, research hypothesis one is supported in part.
Hypothesis two is supported in part also. The effects of social
confidence upon information sharing are strong and significant for both
income groups. However, the nonsignificant lower income effect of
personal confidence upon information sharing does not support hypothesis
two. For the upper income group, the magnitude of the effect of personal
value upon information sharing, while statistically significant with a
value of .10, may not contribute to the managerial importance of this
specific relationship.
For research hypothesis three, only the indirect social confidence
effects were confirmed. For the lower income group, the indirect effects
of utilitarian value and hedonic orientation operating through social
confidence upon information sharing behavior, based upon the direct
maximum likelihood LISREL estimates and calculated in accordance with
Bollen's (1987) guidelines, were .25 and .13 respectively,
attaining statistically significant Sobel (1982, 1986) test statistics
of 4.04 and 2.90, respectively (p < .01). For the upper income group,
the indirect effect of one's hedonic orientation operating through
social confidence upon information sharing, magnitude .24 and a Sobel
statistic of 4.84, attained a similar level of significance.
Finally, for research hypothesis four, the results of the
chi-square difference tests appear in Table 3. For each reported chi
square difference statistic, the baseline model chi square value of
805.68 with 326 degrees of freedom was subtracted from the chi square
value obtained when testing for equality of the specific structural
equation coefficient. Each of the latter chi squares possessed 327
degrees of freedom and generated CFIs, RMSEAs, and SRMRs that did not
differ by more than .01 from the baseline values of .95, .08, and .07,
respectively. Although each model qualifies as a reasonable model (Hu
& Bentler, 1998) the analysis indicates that income acts as a
moderator for the effects of utilitarian value upon social confidence,
and for the effects of hedonic value upon social confidence. All other
tests for income as a moderator are not significant.
DISCUSSION
In addition to similarities across the income groups, the results
confirm the existence of a differential income effect that influences or
at the very least accompanies one's orientation towards shopping.
The observed similarities and differences possess the potential to
further the discipline's understanding of shopper's
experiences.
The results indicate that both the lower and the upper income
groups gain personal self-confidence when they are able to purchase the
functional items they require. Both groups engage also in favorable word
of mouth communication as a result of a positive hedonic experience that
is mediated by one's favorable social self-confidence. In other
words, irrespective of one's level of income, one's confidence
in their ability to elicit favorable responses from their friends
depends upon their enjoyment of the shopping event, and the effects of
this pleasure induced social confidence will translate into an increase
in information sharing behavior.
Despite these similarities, the income groups differ when
considering the magnitude of the effects of hedonic orientation upon
social confidence and utilitarian value upon social confidence. When
compared to the lower income group, the upper income group's social
confidence exhibits the effect of being influenced more by hedonic
shopping experiences. On the other hand, when compared to the upper
income group, the lower income group's social confidence is
influenced by utilitarian value. The upper income group shows no such
effect. This latter dependency in the lower income group involving
social confidence and utilitarian value contributes to the emergence of
word of mouth communication. Thus, in the lower income group, social
self-confidence mediates the effects of hedonic and utilitarian shopping
experiences upon word of mouth communication. For the upper income
group, social confidence mediates the effect of hedonic experiences only
upon word of mouth communication.
When customers' shopping and confidence profiles match the
profiles of the shoppers in this study, managers should plan
merchandising efforts in order to foster specific positive outcomes.
First, managers should focus upon the utility needs of the shopper. This
practice should lead to an increase in the personal outcomes confidence
associated with shopping decisions for both income groups. In addition,
when lower income group shoppers believe that their utility needs are
met, their consumption related social confidence will increase and lead
to an increase in favorable word of mouth communication. Second, when
retailers manage shopping environments, they should focus also upon
creating enjoyable shopping atmospheres. The pleasurable experiences
associated with such environments will influence the social confidence
of both groups and differentially influence the social confidence of the
upper income group. Thus social confidence will mediate the effects of
hedonic experiences upon word of mouth communication with the upper
income group being more receptive to enhanced hedonic experiences.
The theory and findings apply also to site location decisions. For
example, spatial competition is a conceptual foundation of site location
decision making (Karande & Lombard, 2005) with two strategies
predominating. A proximity strategy is one in which the site is selected
in order to capitalize on the principal of cumulative attraction. The
result is that when stores are concentrated, with higher store density
one outcome of the proximity strategy, higher income shoppers are
presumed to be more likely to engage in price comparison shopping.
However, they are unwilling to engage in price comparison shopping at
the expense of their shopping enjoyment (Marmorstein, Grewal, and Fishe,
1992). Since the findings of this study do not negate the latter
findings, it is suggested that developers and designers should insure
that merchandise price comparisons are possible for higher income
shoppers but not ignore shopping enjoyment.
On the other hand, a distancing strategy geographically disperses
stores in an attempt to gain a differential advantage (Karande &
Lombard, 2005). The latter emphasizes accessibility and time spent
shopping, correlates of a utilitarian shopping orientation (cf. Babin
& Attaway, 2000). When this strategy targets lower income shoppers,
the the utilitarian value generated by the shopping experience will
influence social confidence and lead to word of mouth communication.
However, since hedonic experiences also influence the social confidence
of lower income shoppers, providing them with a "favorable"
hedonic experience will also lead to increased social confidence and
word of mouth communication. Developers should recognize these
relationships and include the appropriate level of hedonic experience
when planning and designing stores.
The preceding findings and recommendations notwithstanding, studies
should continue into extraneous variable effects upon personal shopping
value, consumer self-confidence, and word of mouth communication. One
possible extension could involve large sample studies designed to study
the potential moderating effects of social class on word of mouth
communication. These additional studies should focus also on identifying
and clarifying specific hedonic conditions (e.g. Turley & Milliman,
2000) and other antecedent variable relationships. Future research could
investigate the effects of scents, lighting, layouts, and merchandising
practices upon hedonic experiences and utilitarian behaviors. Continued
study of these cause and effect relationships should further the
discipline's understanding of the theoretical and the managerial
significance of designing and managing shopping environments because the
economically competitive advantages generated by optimal shopping
environments can be substantial.
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Table 1. Product Moment Correlations.
Market Information Social
Maven Sharing Confidence
Market 31.6/31.5
maven (6.51)/(6.52)
Information 65 (a)/.70 (a) 23.3/27.6
sharing (3.87)/(5.02)
Social 62 (a)/.62 (a) 54 (a)/.72 (a) 20.8/20.2
confidence (4.44)/(4.32)
Personal -.21 (a)/-.01 -.18 (a)/.07 -.23 (a)/.01
confidence
Hedonic .36 (a)/.40 (a) .31 (a)/.44 (a) .40 (a)/.40 (a)
orientation
Utilitarian .40 (a)/.27 (a) 49 (a)/.20 (a) .44 (a)/.21 (a)
value
Personal Hedonic Utilitarian
Confidence Orientation Value
Market
maven
Information
sharing
Social
confidence
Personal 12.8/11.3
confidence (6.26)/(5.36)
Hedonic -.05/.04 20.7/19.8
orientation (5.48)/(5.54)
Utilitarian -.34 (a)/-.26 (a) .47 (a)/.41 (a) 22.8/23.0
value (4.32)/(4.56)
Note: Main diagonal values are means with standard deviations in
parentheses. Income less than 35k/income equal to or greater than 35k
(a) p < .01, two tail test.
Table 2. Factor Structure and Standardized Loadings.
Factor Personal Outcomes Factor
Hedonic Orientation Loading Confidence Loading
The shopping trip was .83/.84 I never seem to buy the .95/.59
truly a joy. right thing for me.
The shopping trip truly .80/.80 Too often the things I .90/.61
felt like an escape. buy are not
satisfying.
I had a good time .78/.76 I often wonder if I've .72/.91
because I was able to made the right
act on the spur of the purchase selection.
moment.
I enjoyed the shopping .67/.74 I often have doubts .72/.87
trip for its own sake, about the purchase
not just for the items decisions I make.
I may have purchased
Utilitarian Value Information Sharing
The shopping trip was .87/.88 When my friends give me .78/.78
useful. shopping advice I can
use, I usually act on
it.
I was satisfied with the .87/.83 When I help a friend by .73/.69
items I purchased. telling her about my
shopping experiences,
I feel good about
myself
I accomplished just what .76/.85 My friends and I enjoy .70/.75
I wanted to on the talking about the
shopping trip. styles and fashions we
see on shopping trips.
While shopping, I found .70/.82 When we find quality .68/.83
just the item(s) I was service in a store, my
looking for. friends and I let each
other know
Social Outcomes Confidence
I impress people with .83/.85
the purchases I make.
I get compliments from .81/.66
others on my
purchasing decisions.
My friends are impressed .79/.87
with my ability to
make satisfying
purchases.
My neighbors admire my .67/.56
decorating ability.
Note: Income less than 35k values/income equal to or greater than 35k
values.
Table 3: [chi square] Difference Tests for Survey Group and Moderating
Effects
Invariant Original Groups Income groups
[chi square] sig. [chi square] sig.
Path Difference level Difference level
Hedonic [right arrow] 1.31 ns 4.39 .05
Social
Hedonic [right arrow] .18 ns .92 ns
Personal
Utilitarian [right arrow] 4.34 .05 15.38 .01
Social
Utilitarian [right arrow] 2.90 ns .93 ns
Personal
Social [right arrow] 4.63 .05 .06 ns
Sharing
Personal [right arrow] 2.63 ns 2.97 ns
Sharing
Terrence J. Paridon, Cameron University Shawn Carraher Cameron
University Sarah C. Carraher Consolidation Enterprises