DYNAMICS OF CONSUMERISM AND CREDIT CARD DEBT
UNDER THE INFLUENCE OF ADVERTISING
Ozem Turan, Dolunay Ugur and Yaman Barlas
Bogazici University
Industrial Engineering Department
34342 Bebek Istanbul Turkey
+90 212 359 73 43
ozlem.turan@ boun.edu.tr, dolunay.ugur@ boun.edu.tr and ybarlas@ boun.edu.tr
Abstract
Consumerism and persistent personal debts as a result of extensive use of credit cards under
the influence of advertising is addressed in this paper. A system dynamics simulation model
related to consumption behavior of middle-income people in Turkey under the influence of
advertising is constructed. Debt, excessive spending, and ‘consumption satisfaction’ dynamics
are investigated via policy and scenario analysis. The results show that restricted maximum
credit card limit can be an effective policy to prevent high debts but, in the long run, the
policy may result in more ‘unsatisfied’ people. In order to provide considerable decrease in
debt and increase in satisfaction, average advertising frequency should be reduced
substantially. A hybrid scenario combining maximum credit card limit policy and reduced
advertising frequency scenario is shown to be beneficial for individuals, lowering debts,
without sacrificing consumption satisfaction.
Keywords: advertising, consumerism, comparison tendency, reference group, credit card debt
1, INTRODUCTION
Consumerism is a phenomenon that happiness and well-being of individuals strongly depends
on the level of personal consumption, especially consumption of material goods (Wright &
Rogers, 2009). In a consumerist society, consumption activity is more about interpreting
meaning of gratification in the lives of individuals than about satisfying a limited set of wants
(Leiss, Kline, & Sut, 1986). Some economists and policy makers argue that spending of
people in the market is substantial for the strength of capitalist economy (Wright & Rogers,
2009). They claim that consumerism helps economic growth, and contributes the profitability
of firms. In addition, spending may help to raise the life standard of an individual. On the
other hand, in the long run, it has some undesirable consequences like damaged interpersonal
relationships, envy, dissatisfaction, excessive debt (K iron, 1996; Richins, 1995), parent-child
conflict (Pollay, 1986) and the like. Moreover, overconsumption paves the way for
destruction of limited natural resources, and environment (K iron, 1996; Lears, 1994; Pollay,
1986; Richins, 1995). Furthermore, when people cannot reach their materialistic goals, they
1
feel dissatisfaction and contribute to disturbances in social system, which can be exemplified
as personal bankruptcy rates, crime rates, intolerance to people (Richins, 1995).
Advertising is one of the most powerful means to create a link between the happiness and
consumerism since it causes people to think that possessions are substantial and especially,
material possessions bring people some qualities like happiness, success, and beauty (Buijzen
& Valkenburg, 2003). Advertising encourages people to believe availability of strong relation
between consumption and self- development (K ubey & Csikszentmihalyi, 1990), happiness,
adequacy (Kiron, 1996), and feeling about status, roles (Leiss et al., 1986). Images of a good
life given by advertising to the subconscious of individuals make people more luxurious and
comfortable lifestyles oriented. Unlimited desire is satisfied by goods for a short term (K iron,
1996). Advertising is an effective tool in order to increase demand for products whether they
are necessary or not, or affordable or not (MacDonald, 1990). Advertising raises awareness
level of people about their sense of dissatisfactions. It also presents consumption as a solution
for dealing with these negative feelings by promoting buying behavior (Pollay, 1986).
People are exposed to a great number of advertising, which gives them an idealized version of
life. These idealized life images make people compare themselves with others that may lead
dissatisfaction of consumers (Richins, 1995). Thus, comparison tendency !of people is
increased through advertising. This comparison especially occurs with reference group, which
has a broad research area in social psychology. According to Wright & Rogers, “reference
group is the category of people to which one refers when trying to figure out how well one is
doing or how one should behave” (2009). Reference group may affect individuals in different
ways: It may influence people’s behaviors, evaluations, opinions (Park & Lessig, 1977). In
this study, however, taking the model boundary into consideration, reference group will be
regarded only as “consumption reference group”. It is basically the group of people with
whom, individuals compares themselves, just considering consumption standards (Wright &
Rogers, 2009). Besides, reference groups influence product and brand preferences of people.
Thus, this concept is an effective tool of marketers for changing consumers’ decisions and
convincing them to purchase specific products and brands (Bearden & Etzel, 1982).
As stated above, the exposure of the perfect happiness and idealized life idea through
advertising images encourages people to purchase more possessions to realize this delusive
life desires (Richins, 1995). Since people may not afford these excessive wants with their
current income, credit cards can be seen as the bridging tool for reducing the discrepancy
between excessive spending and payment capacity (Mathews & Slocum, 1969). In addition to
being a secured instant payment mean, credit cards also provide consumers different payment
opportunities such as installments, delayed payment and the like. As a result, credit cards have
been widely used in the recent years (Chien & Devaney, 2001). Also, credit card is even
perceived as an optional form of income (Bird, Hagstrom, & Wild, 1997; Norton, 1993), and
a tool for borrowing. Using credit cards as a borrowing tool instead of as a payment tool leads
to widespread personal debts due to accumulating interest debts. K iron says that “Personal
1For general explanation, see Leon Festinger, “A Theory of Social Comparison Processes,” Human Relations 7:
117 (1954).
debt would not have become as easy and appealing as it is today without the development of
the credit card. And the rise of the consumer society, in particular, would not have been
possible without a widespread willingness to take on personal debt” (1996). Even though
demographic, and economic factors, and personal attitudes together affect the credit card
usage (Chien & Devaney, 2001), income as an economic factor will be focused on in this
research.”
Generating a reference group and conducting a comparison about consumption standards that
are stimulated through advertising, and credit cards that enable individuals to buy things
immediately, of course, are not the only causes of consumerism. Another key process
bringing about consumerism is the very nature of “profit maximizing competition in a
capitalist economy” (Wright & Rogers, 2009). An increase in productivity causes more goods
and services, in turn, more consumption. “Decline in public goods and abandonment of public
consumption by the private one” and “increasing inequality that ratchets up consumption
demands” can be seen aS major processes that drive individuals into consumerism trap
(Wright & Rogers, 2009). In the knowledge that people’s buying decisions result in through
different mechanisms, this paper focuses on advertising as an influential mechanism and
credit cards as a motivation for instant spending and overconsumption.
The aim of this study is to investigate the fundamental dynamics of consumerism and credit
card debts of people with middle income in Turkey under the influence of advertising and in
the presence of extensive use of credit cards. A system dynamics model is built to provide a
better understanding of credit card debts and its link to the advertising that has a social
psychological effect on spending behavior. The reason why middle-income people are chosen
is that this income group constitutes high percentage of population. Besides, people who have
credit card debt, generally, belong to middle-income in Turkey. The paper organized as
follows: Firstly, in the model description, a simplified version of stock-flow diagram will be
introduced and the structure of the system will be explained through sub- sections. A fterwards,
in the policy and scenario analyses, a policy about credit card limits and a scenario regarding
advertising frequency will be analyzed. Lastly, conclusion and further research section will
end our discussion.
2. MODEL DESCRIPTION
In this part of the study, firstly main components of model are described. A fter that, parameter
estimation and critical assumptions are given.
2.1. Main Components of M odel
In Figure 2.1.1, simplified stock flow diagram is given. Moreover, major loops are entitled on
the figure. The complete stock- flow diagram can be found in the Appendix.
?In their research, Chien and Devaney (2001) take into account age, household size, ethnicity, marital status,
professional status, education, home ownership, liquid assets and different attitudes towards credit card. But,
these are beyond the scope of this study and also beyond the model boundary.
os +
4, Comparison —— |
Tendé ier tion Di Desired Credit
rendency ‘onsumption Discrepancy __ . paren
+ Thatis Desired to Reduce
Less Comparison Tendency Salisfaction Ratio Ai
More Satisfaction + *:
Increasing Credit
+ Card Limit Total Credit Card
& 4a) Intended Ex: Available a
cessive ¥%
+ Consumption penis ae
discrepancy with RG . Tae
Consumption of tee 7
| Reference Group 4) Less Discrepancy @
i
Situmulation of Spending end
Advertising by Reference Group
Frequency
+ ot Tyettecas |
# Total Credit <)
Total Consumption ___> Excessive Spending Card Debt Payment Rate
Pilinterest Rate
Figure 2.1.1. Simplified Stock-Flow Diagram
2.1.1, Comparison Tendency
Festinger (1954), perhaps best known for his social comparison theory, states that every
person evaluates their abilities by comparison with the abilities of others when non-social
means are not available. Not only abilities but also states such as beauty, intelligence, and
fatness can be compared. In this model, this comparison by human beings’ very nature called
as “natural comparison tendency”. Comparison tendency of people can become higher than
natural tendency due to some exogenous factors (Festinger, 1954). In this study, advertising
both stimulates people to compare themselves with others who called as reference group and
compare with them more by increasing their comparison tendency. As well as content,
number of advertising influences perception of people (Richins, 1995). In the model, it is
assumed that comparison tendency is varied only through advertising frequency. However,
consistent stimuli of advertising are needed in order to change expectation level of people
(Richins, 1995). In other words, increases in advertising lead to increased comparison
tendency after a delay. That is because expectation and attitude of people do not change just
after an exposure to advertising.
2.1.2. Reference Group Consumption
Generally, discrepancy with comparison groups can be regarding any subject such as success,
wealth level, or opinion. In this model, it is assumed that discrepancy with reference group is
defined as only consumption discrepancy. In the case of comparing consumption standards,
there is a “unidirectional drive upward” (Festinger, 1954). That is why, in the model, people
with middle income consider only people with upper income level as reference group.
Likewise, in the model, people with upper income do not compare themselves with middle-
income people since the drive is unidirectional. If consumption of reference group increases
via advertising, ceteris paribus, this means that actual consumption discrepancy between
middle-income people and their reference group will be increased. In the model, there is a
delay for consumption perception of people with middle income to perceive consumption
4
discrepancy. That is because in many instances, it is not possible to assess one’s spending and
consumption discrepancy immediately (Festinger, 1954).
Since the existence of a discrepancy results in a pressure to reduce the discrepancy (Festinger,
1954), increases in perceived consumption discrepancy with reference group lead to
increased consumption discrepancy that is desired to reduce. Also, higher comparison
tendency has a positive effect on the consumption discrepancy that is desired to reduce. In the
model, it is assumed that if comparison tendency of people at the maximum level, they desire
to reduce the whole discrepancy they perceived.
Another worthy of notice point is that the study focuses on people with middle income, not
middle class. Since members of the middle class do not have to be in the middle of a society’s
income distribution, this distinction should be clearly stated. 3 Moreover, social class
membership has a richer dimension (Martineau, 1958) like occupations, skills, educational
levels and gratifications in favor of goals (Slocum & Mathews, 1970) and it is very hard to
capture them with a few variables. In this research, considering only income level as an
indicator of consumer behavior toward credit card use has an important reason: In the middle
class, the patterns of attitudes toward credit card fundamentally change with income level
(Slocum & Mathews, 1970).
2.1.3. Credit Card Limit
Available credit card limit is equal to difference of total credit card limit and current credit
card debt. Decreases in available credit card limit can result in dissatisfaction by people if
they cannot afford spending as much as they desire. When individual’s actual consumption
level does not meet expectations of him/her, disappointment is inevitable for him/her (K iron,
1996). Therefore, concern of not meeting expectations causes people to take an action against
restricted spending. O ne of the ways for continuing spending is to increase credit card limit.
In the model, there is a satisfaction ratio, which equals to available credit card limit over
consumption discrepancy that is desired to reduce. If the ratio is less than 1, after a decision
delay people decide to increase their credit card limit because people, generally, do not try to
increase their credit card limit immediately after they feel dissatisfaction. In the model,
desired credit card limit, which is defined as total credit card limit which consumer want to
have, is increased for the aim of resuming spending.
2.1.4, Payment and Saving
Main stock of our model is total credit card debt stock. Total credit card debt is filled by
excessive spending and interest rate, and drained by payment rate. Interest rate, simply, is
3a mong behavioral ts there is a debate regarding “which is a better indicator of consumer behavior and
credit card usage: ial class or income level?” As variables influencing consumerism, social class and income
virtually always used in consumer behavior models (Howard, 1963; Kotler, 1965; Mathews & Slocum, 1969;
Nicosia, 1966). While Martineau (1958) claims that social class is often more important than income in affecting
purchasing behavior (Martineau, 1958), Mathews and Slocum (1970) showed that income and social class
provide an equal understanding of consumer attitudes toward purchasing goods with credit card (Slocum &
Mathews, 1970).
multiplication of total credit card debt and interest fraction. Excessive spending is a
multiplication of intended excessive spending and effect of available credit card limit on
excessive spending. More precisely, there is a fuzzy-min function, which restricts the
excessive spending with available credit card limit as a capacity.
Installment as a payment way is one of the opportunities of credit card system. However,
because of the macro level perspective of the social-psychological-economic system of
concern, it is assumed that people pay their debts without installment if they can afford. In the
model, if current credit card debt is less than sum of payment capacity and supporting for
payment, then payment rate becomes equal to total credit card debt. Otherwise, payment rate
becomes equal to sum of payment capacity and supporting for payment. In the model,
payment capacity is determined as remaining money after meeting all necessary expenses.
Moreover, if people can afford to pay their debt, there becomes the opportunity for saving
their money and use it when they cannot afford to pay credit card debt with their current
payment capacity. Therefore, another stock is total savings stock. It is accumulated by saving
rate and is drained by supporting for payment. If difference of payment capacity and total
credit card debt is positive, then saving rate equals to difference of payment capacity and
total credit card debt. If total credit card debt is less than payment capacity, then there is no
need for supporting for payment, so it becomes equal to zero. Otherwise, it becomes equal to
minimum of all savings and difference of total credit card debt and payment capacity.
2.1.5, Excessive Spending
It is assumed that excessive spending is mediated only by using credit card. Excessive
spending, which is determined as money spent by average of people with middle income after
they meet necessaries of their life, is a multiplication of intended excessive spending and
effect of available credit card limit on excessive spending.
Intended excessive spending: One of the ways for consumers to diminish consumption
discrepancy is to increase their own excessive spending. On the other hand, debt concern
causes people to limit their spending. Therefore, intended excessive spending of people is
influenced by both consumption discrepancy that is desired to reduce and total debt. Total
debt has a negative effect on intended spending because more debt means higher concern.
Then, consumer begins to decrease his/her own spending.
Effect of available credit card limit on excessive spending: Consumer tries to realize his/her
intended excessive spending. However, available credit card limit may restrict this spending
behavior. Thus, excessive spending becomes equal to minimum value of intended excessive
spending and available credit card limit. Nevertheless, minimum functions may cause sharp
discontinuity, which may seem unrealistic. Hence, it is assumed that while excessive spending
reaches the available credit card limit, people decrease their spending even if they have
intended spending that is not met. In other words, instead of a min function, a fuzzy- min
function is used via effect of available credit card limit on excessive spending.
2.1.6. Advertising Frequency
Average consumption of people with middle income and their reference group has an effect
on advertising frequency because main goal of advertising is to increase sales by informing
people about products. Thus, total consumption is equal to average consumption of people
with middle income and their reference group. Increases in total consumption lead to a
decreased advertising frequency since there is no necessity for high amount of advertising.
However, the model is constructed considering that the aim of advertising is not only
informing people but also providing brand awareness, protecting brand image. Thus, effect of
total consumption on advertising frequency is formulated such that even total consumption is
too high, advertising becomes less but never goes zero.
2.2. Parameter Estimation and Critical Assumption
In this part, how key parameters are estimated will be explained briefly. It will be followed by
critical assumptions that are necessary to appreciate the model.
2.2.1. Parameter Estimation
Reference advertising frequency, which is determined as 7500 advertising/month, is number
of advertising that a person is exposed to on a monthly basis. According to Consumer Report
published by Consumers Union, average American is exposed to 247 advertising every day
(Consumer Union, 2001). There has been no similar data for Turkey; it is assumed that
average Turkish is exposed to 250 advertising every day.
According to Card Monitor Report of Interbank Card Center in Turkey, average credit card
number and limit per people are 2 and 2500 TL, respectively (Interbank Card Center, 2008).
Thus, average credit card limit is assumed as sum of two credit card limit that is equal to 5000
TL in the model. Besides, in Turkey, there have been more than 12 banks, which provide
credit cards to costumers. Therefore, highest value of credit card limit, which is estimated as
multiplication of 2500 TL and 12, becomes equal to 30.000. In the study, each credit card
limit is not represented separately. Credit card limit means total limit of whole credit cards.
Interest fraction, which is different but nearly same in every bank, is accepted 0.0283 as an
average value in the study.
As stated in model description, people tend to compare themselves with others inherently
which is captured in the model as natural comparison tendency. Value of natural comparison
tendency is determined as 0.1. As for comparison tendency, this value change between 0.1
and 1. These values are estimated qualitatively.
2.2.2. Critical Assumptions
Even though variables, interactions, and influences in the model sound like they are created
just for an individual, they are formed considering the average of all middle-income people in
Turkey. In the model, individuals are assumed to pay their necessary spending by cash, and
then all excessive spending is paid by credit card. Subsistence spending of people with middle
income includes housing, eating, transportation spending. However, it should not be confused
with minimum wage. Lastly, although credit card payments occur discretely in real life, from
our macro perspective, which is necessary to build sucha model, payments are assumed to be
continuous.
3. POLICY AND SCENARIO ANALYSES
After constructing, verifying, and validating model, a policy, and a scenario are tried out and
analyzed. Both policy and scenario are studied in isolation from each other to evaluate them
correctly. Both policy and scenario are activated for five years, which seems enough to
observe dynamic behaviors.
To have a benchmark, first, a base scenario will be presented. Then, Maximum Credit Card
Limit Policy will be analyzed. After that, Restricted Advertising Frequency will be studied.
Lastly, this followed by a hybrid scenario analyses.
3.1.BASE SCENARIO
Credit card part of the base scenario is constructed considering old credit card limit policy of
Turkey that had lasted until 2012 Debt Loyalty Law. According to old credit card limit policy,
individuals had a possibility for taking credit card from any bank without regarding debt
because there was no platform for banks to share costumer information like debt, or credit
card limit. Moreover, limit of each credit card were being determined independently. Thus, if
individual had debt to any bank, other banks could not know this information.
In the view of the above information, the model described in Figure 2.1.1 is run to obtain a
benchmark. The observed behaviors are presented in Figure 3.1.1 and Figure 3.1.2. As it can
be seen in Figure 3.1.1, total credit card debt (TCCD) depicts an S-shaped growth and
increases until it reaches 30.000 TL, which is the maximum credit card limit. In the base run,
after a while excessive spending goes almost zero and interest rate approximates payment
capacity. Thus, payment capacity becomes only sufficient to pay interests. In other words, it
becomes impossible to pay the actual debt. Moreover, as it can be seen in Figure 3.1.2,
intended excessive spending (IES), initially, is equal to consumption discrepancy that is
desired to reduce (CDDR); but, after 3 months, is lower than it. Because, the negative effect
of total debt on intended spending increases while debt increases. Although, excessive
spending (ES) is mostly equal to intended excessive spending, it becomes lower due to
available credit card limit, which restricts spending.
Total Credit Card Debt Desired / Intended / Excessive Spending
30,000 8,000
22,500 Lert 6,000 Lert
15,000 ' 4,000 aii
7,500 2,000 AN
0 0
6 12 18 2 30 36 42 ABS 6 12 18 24 30 36 42 48 St 60
‘Time (Month) Time (Month)
Consumption Discrepancy That is Desired to Reduce : Base Run. ——
Intended ding : Bas
Total Credit Card Debt : Base Run. ———— B pending : Base Run
Figure 3.1.1. TCCD under base run Figure 3.1.2. CDDR, IES, ES underbase mn
3.2. Maximum C redit Card Limit Policy
This policy is as follows: In 2012, law about credit card limit has changed and been regulated
in Turkey. This new law requires that credit card users have a single and total credit card
limit (TCCL). In other words, each individual can have one or more credit cards; but there is a
maximum credit card limit, which is the sum of limits of all credit cards. In addition, this
maximum credit card limit of individuals are determined by Debt Loyalty Law, which
compares debt and payment rate (Banking Regulation and Supervision A gency, 2012). Thus,
even individuals desire to increase total credit card limits, it is restricted by maximum limits
due to Debt Loyalty Law. Figure 3.2.1 shows the related part of causal loop diagram.
Activating this policy leads to behavior presented in Figure 3.2.2. As it is seen, total credit
card debt in policy, which exhibits damping oscillation, is notably lower than total credit card
debt in base run. That is because total credit card limit in policy is significantly lower
compared to base run due to Debt Loyalty Law (Figure 3.2.3). On the other hand, satisfaction
ratio’ decreases until stabilizing around 0.14. This means that even people cannot spend
excessively owing to new policy, they are still unsatisfied due to not achieving their intended
spending. It can be seen from Figure 3.2.4 that people with middle income resume their
excessive spending around some lower levels compared to their payment capacity. In other
words, new regulations prevent people to get into debt with the cost of dissatisfied
individuals.
4 Even though “satisfaction” has a broad meaning, in this paper, it is defined for individuals that feel gratification
when they can reduce the consumption discrepancy that is desired.
(Satisfaction ratio = Available credit card limit / Consumption discrepancy that is desired to reduce)
+ Available credit 4
card limit
Excessive se
si
ted ‘Tolal Credit Card
@ ime
fg +
No Debt Loyalty
Total Credit Cait y%
ney No Limit
Ste aaa Maximum Credit
+ Card Limit
£
a
Debt
Loyalty
Figure 3.2.1.Related Causal Loop Diagram of Maximum Credit Card Limit Policy
Total Credit Card Debt
Total Credit Card Limit
30,000 TL
3000 TL 30,000: TL/Month
4.000 ‘TL/Month
| f
15,000 TL APN HALL
15,000. "TL/Month
1,500 TL | NS CDRRREEEEER >| 2,000 TL/Month
|
0 TL 0 TL/Morth
OTL 0 TL/Month
6 2 8 4 30 3 4 4 of 6 2 18 2 90 3 4 48 of
‘Time (Month) “Time (Month)
Total Credit Card Debt : Base Run. ——————__— Total Credit Card Limit : Base Run
Total Credit Card Debt : Maximum Limit Policy Total Credit Card Limit : Maximum Limit Policy
Figure 3.2.2.TCCD under Maximum Credit Figure 3.2.3.TCCL under Maximum Credit Card
Limit Policy vs TCCD under Base run Card Limit Policy vs TCCD under Base run
Excessive Spending
3,000
2,250
H
= 1,500
e
750 Lede | tt
0
6 2 i 4 30 36 42 48 54
‘Time (Month)
Excessive Spending : Base Run
Excessive Spending : Maximum Limit Policy
Figure 3.2.4. ES under Maximum Credit Card Limit Policy vs ES under Base run
10
3.3.Restricted A dvertising Frequency Scenario
Some countries like Belgium, Greece, and Norway implemented regulatory policies, or
restrictions on advertisement (Buijzen & Valkenburg, 2003). Inspired by these examples, in
this scenario, it is supposed that Turkish government decides to limit advertising frequency.
To realize that, frequency is reduced for different percentages. After having extensive
experiments, it is found that reductions less than 50% in advertising frequency do not affect
debt behavior dramatically. Thus, advertising frequency is diminished nearly 50% of base run
version. The results can be seen in Figure 3.3.1.
When total credit card debt is analyzed in Figure 3.3.1, it seems that debt, which initially
oscillates then becomes nearly equal to 750 TL, is significantly lower than base scenario
version. Besides, looking satisfaction ratio (SR), it is seen in Figure 3.3.2 that satisfaction
ratio of this scenario is higher than base run because lower advertising frequency results in
lower comparison tendency. Decreases in comparison tendency lead to a decreased
consumption discrepancy that is desired to reduce. Therefore, meeting expectations becomes
easier; and, ultimately satisfaction ratio becomes higher.
Total Credit Card Debt Satisfaction Ratio
30,000 TL (7) z
1,000 TL \\
|| os HAY
15,000 TL \ oe a5 | NaaE
500 TL | \ Bae Pi jf j}j}i{}i 4}
0.75 ne
om
om ° “Thal
0 6 2 1 2 30 3 42 48 54 GO 6 2 B 4M 3 36 42 4B OM
Time (Month) Tine (Month)
Total Cet Cand Debt: Base Run —————————___"_ Satisfaction Ratio : Base Run
Total Credit Cand Debt: Restictad Advetsing Soaaio. Satisfaction Ratio : Restricted Advertising Scenario
Figure 3.3.1.T CCD under Restricted A dvertising Figure 3.3.2.SR under Restricted A dvertising
Frequency Scenario vs TCCD under Base run Frequency Scenario vs SR under Base mun
3.4. A Hybrid Policy
As discussed above, in Turkey, new regulations about credit card limit result in dissatisfied
individuals even though it prevents people from getting into debt. That is because advertising
resumes to promote the “cycle of dissatisfaction- satisfaction” (Kiron, 1996). Dissatisfaction
of middle-income people, which constitute a significant percentage of Turkey population, is
not a hopeful indicator for the society. In other words, it can be said that new law is beneficial
concerning economy, but not regarding social psychology.
A new hybrid policy is proposed for improving the deficient side of Debt Loyalty Law. In this
policy, the two beneficial parts of Maximum Credit Card Limit Policy and Restricted
Advertising Frequency Scenario are combined. It is supposed that government also decides to
11
a limit for advertising frequency and it is reduced nearly 35% of base run version®.When total
credit card debt and excessive spending are compared for this policy and Maximum Credit
Card Limit Policy, it is observed that the convergence levels for these variables in this policy
are slightly lower. However, the more important result is that the behaviors for both total
credit card debt (Figure 3.4.1) and excessive spending (Figure 3.4.2) are less oscillatory than
the behaviors in Maximum Credit Card Limit Policy. Furthermore, it can be seen from the
Figure 3.4.3 satisfaction ratio is greater than 1, and the convergence point is also observed as
1.09.
Total Credit Card Debt Excessive Spending
6 2 1B 2 48 Sf 6 2 1 2M 30 3% 4 4 Bf
2 30 86
Time (Month) ‘Time (Month)
Total Credit Card Debt : Hybrid Policy
Excessive Spending : Hybrid Policy
Total Credit Card Debt : Maximum Limit Policy — Excessive Spending : Maximum Limit Policy
Figure 3.4.1.T CCD under Hybrid Policy vs Figure 3.4.2. ES under Hybrid Policy vs
SR under Maximum Limit Policy SR under Maximum Limit Policy
Satisfaction Ratio
mw 30 86S
‘Time (Month)
Satisfaction Ratio : Hybrid Policy ———————
Satisfaction Ratio : Maximum Limit Policy ———
Figure 3.4.3. SR under Hybrid Policy vs SR under Maximum Limit Policy
5The level of advertising frequency is equal each other in Maximum Credit Card Limit Policy and Base Run.
12
4, CONCLUSION& FURTHER RESEARCH
The aim of this study is to investigate the fundamental dynamics of consumerism and credit
card debts under the influence of advertising in the presence of extensive use of credit cards.
To realize this aim, system dynamics methodology is utilized. Afterwards, excessive spending
behavior of people with middle income in Turkey is investigated via a dynamic simulation
model.
It is observed that advertising frequency has substantial effect on excessive spending.
Moreover, some credit card systems may pave the way for huge amount of debt for middle-
income consumers. It is seen that although advertising influences people to buy things,
excessive spending, which may result in debt, can be inhibited through Debt Loyalty Law.
However, limited spending causes people not meeting their expectations that ultimately result
in dissatisfaction. Furthermore, it is observed that if advertising frequency is constrained and
is reduced almost 50% by regulations, comparison tendency of people becomes significantly
lower. This causes both lower debt and higher satisfaction. Lastly, a hybrid policy provides
improvement for new regulations about credit card limit by sustaining less oscillatory
spending behaviors, and higher and consistent satisfaction level.
The research described in the paper can be broadened and deepened. Presented model can
serve as infrastructures to more sophisticated models. Distinct from advertising, media effect,
which influences subconscious of consumers via different ways, can be included in the model.
This may provide a more extensive and a more realistic model though, in the cost of
increasing complexity and hence, possibly, less explanatory power.
Another alternative is to include installment system in the model. Installment system provides
consumers to buy possessions easily with the delusive impact of longer payment period
(Kiron,1996). This system is widespread for some other countries than Turkey, too. Thus,
including installment may make model more realistic for those cases.
13
REFERENCES
Banking Regulation and Supervision Agency Banka Kartlar1 ve Kredi Kartlar1 Kanunu
(2012). Retrieved from
http://www.bddk.org. tr/websitesi/turkce/Mevzuat/Banka_Kartlari_Kredi_Kartlari_ Kanun
w15375464_degisiklikler_islenmis_6327_s.k._9.7.pdf
Bearden, W., & Etzel, M. J. (1982). and Purchase Influence on Product Decisions. Journal of
Consumer Research, 9(2), 183-194.
Bird, J. E., Hagstrom, P. A., & Wild, R. (1997). Credit Cards and the Poor. Retrieved from
http://onlinelibrary.wiley.com/doi/10.1002/cbdv.200490137/abstract
Buijzen, M., & Valkenburg, P. (2003). The effects of television advertising on materialism,
parent-child conflict, and unhappiness: A review of research. Journal of Applied
Developmental Psychology, 24(4), 437-456. doi:10.1016/S0193-3973(03)00072-8
Chien, Y.-W., & Devaney, S. A. (2001). The Effects of Credit Attitude and Socioeconomic
Factors on Credit Card and Installment Debt. The J ournal of Consumer Affairs, 162-179.
Consumer Union. (2001). 21st century consumer. Consumer Report, 66(1), 8.
Festinger, L. (1954). A Theory of Social Comparison Processes. Human Relations, 7(2), 117—
140. doi:10.1177/001872675400700202
Howard, J. A. (1963). Marketing Management: Analysis and Planning. R.D. Irwin.
Interbank Card Center. (2008). Kart Monitor. Retrieved from http://www.bkm.com.tr/bkm-
en/index.aspx
Kiron, D. (1996). Perpetuating Consumer C ulture: Media, Advertising, and W ants Creation.
The consumer society (pp. 229-236). Island Press: Island Press.
Kotler, P. (1965). Behavioral model for analyzing buyers. Journal of Marketing, 29, 37-45.
Kubey, M., & Csikszentmihalyi, R. (1990). Television and the Structuring of Experience.
Television and the Quality of Life: How Viewing Shapes Everyday Experience (pp. 181—
222). New Jersey and London: Lawrence Erlbaum Associates.
Lears, T. J. J. (1994). Introduction to Fables of Abundance. Fables of Abundance: A Cultural
History of Advertising in America (pp. 1-13). New Y ork: Basic Books.
Leiss, W., Kline, S., & Sut, J. (1986). Goods as Satisfiers. Social Communication in
Advertising (pp. 237-258). London: Methuen.
MacDonald, J. F. (1990). The Emergence of A merican Television: The Formative Y ears and
Toward a New Video Order: The 1980s. One Nation Under Television: The Rise and
Decline of Network Television (pp. 3-62 and 221-287). New Y ork and Toronto: Random
House.
14
Martineau, P. (1958). Social classes and spending behavior. the Journal of Marketing, 23(2),
121-130. Retrieved from http://www. jstor.org/stable/10.2307/1247828
Mathews, H. L., & Slocum, J. W. J. (1969). Social C lass and Commercial Bank Credit Card
Usage. J ournal of Marketing, 33(1), 71-78.
Nicosia, F. (1966). Consumer Decision. Nre J erser: Prentice Hall.
Norton, C. M. (1993). The Social Psychology of Credit. Credit World, 82.
Park, C. W., & Lessig, V. P. (1977). Students Group and Housewives : Differences in
Susceptibility to Reference Influence. J ournal of Consumer Research, 4(2), 102-110.
Pollay, R. (1986). The Distorted Mirror: Reflections on the Unintended Consequences of
Advertising. Journal of Marketing, 50, 18-36.
Richins, M. L. (1995). Social Comparison, Advertising, and Consumer Discontent. American
Behavioral Scientist, 38(4), 593-607. doi:10.1177/0002764295038004009
Slocum, J. W.J., & Mathews, H. (1970). Social class and income as indicators of consumer
credit behavior. The Journal of Marketing, 34(2), 69-74. Retrieved from
http://www jstor.org/stable/10.2307/1250840
Wright, E. O., & Rogers, J. (2009). Consumerism. American Society: how it actually works
(pp. 1-20).
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APPENDIX
Advertising Average Advertising Graph for Effect of Total
Perception Delay Frequency Effect of Total Consumption on Advertising aving Rate Supporting for Payment
Paneved | AYvertising“~ Consumptionon 4 — Frequency aving
Graph for effect of Advertsng | Fi eae Advertising Frequency
Advertisement frequency on Perceived Advertsing) Fremency | 2 + —$§_ Reference
Comparison tendency Adjustment : Consumption
Graph for Effect of Reference A dvertising aR
Advertising Frequency on F
a Effect: ste Rebroce Crom pe Estimation Time
requngy on Congarson
Minimum A dvettising ————™ Tend vam | “Ne Reference Consumption ra
Frequency Effect of Advertising of Reference Gro Expected Total
Consumption Frequency on Ref Consumption
aa Consumption Discrepancy with co i
Comparison Reference Group ba ae
Tetley Consumption of ___- Total Consumption
sumption Achal Consumption | __—Reeference Group
Natural Comparison pen —_ Discrepancy with
Tend Reference Group Excessive
my Spending
Intended Excessive “a — Reference Debt for
Spending Graph for Effect of Total =e of Total Debt on Debt Concem
Debton Tae Excessive intended Excessive
Consumption Discrepancy Spending Klnterest Rate
That is Desired to Reduce Average Credit
Graph for Effect of Available Available Credit Card Limit .
CreditCard Limiton __seBifectof Avalable Cre _ Card Limit Qo Interest Fraction
Excessive Spending Spend PENS. iN
Instant Total Credit <-———Dessred Credit
Satisfaction Ratio Monthy Debt Card Limit Cont Lie
Reference Fraction
Satisfaction Ratio
Decision Effect of Satisfaction Ratio
Formation Delay Expectation |_____——» on Desi Cr Credit Card Graph for Effect of
‘Adjustment ~— satisfaction Ratio on Desired
Credit Card Limit
16
