Journal of Business Management, 2015, No.9
ISSN 1691-5348
MENTAL ACCOUNTING AND RELATED CATEGORIZATIONS IN THE
CONTEXT OF SELF-REGULATION
Andrijana Musura
Zagreb school of economics and management, Jordanovac 110, 10 000 Zagreb, Croatia
e-mail: amusura@zsem.hr
Kristina Petrovecki
High school Zabok, Ivana i Cvijete Huis 2, 49200 Zabok, Croatia
e-mail: kristinapetrovecki@gmail.com
ABSTRACT
Purpose: The concept of mental accounting is part of a new scientific discipline that integrates insights psychology into
the area of economic decision-making – behavioral economics. The problem of this research evolves around questions
whether mental accounting is kind of universal process as well as around question whether the tendency for mental
accounting serves as a function of different mind-sets – deliberative and implemental. The notion of different mind-sets
comes from self-regulation theory of action phases and that in relation to goal setting and pre and post decision phase.
Design: All research questions are addressed in the experimental design, conducted on 200 participants. The tendency
for mental accounting is measured using five hypothetical situations within context of different mind-sets.
Findings: The research showed that mental accounting is robust phenomenon, which might play a self-regulatory role
in the context of saving decision making but not in the condition of experimentally induced manipulation but in the real
world decision making.
Originality/Value: The usage of experimental design in analysis of mental accounting and related categorizations;
Approach to mental accounting in the context of self-regulation theories
Keywords: mental accounting, framing, self-regulation, deliberative mind set, implemental intentions
1.INTRODUCTION
Mental accounting is as a way of categorization of money within different situational contexts where
situations serve as frames that direct economic decisions. Using mental accounting, individuals help
themselves to facilitate judging about economic decisions. Nevertheless, some situations lead to activation of
different mental accounts and thus different judgments, although these differences are not accounted by
economic theory of rational decision-making. Judgment under influence of framing is not supported by
mainstream economic theory, which posits that rational behavior is guided by narrow economic rules, among
which of them is the context independence of choice.
Openness for various information as well as unbiased and objective valuation of information characterizes
rational reasoning, if under “rational” we assume symmetric information. Individual, who reasons, takes into
account all available information in the process of reaching a rational decision. According to self-regulation
theory of action phases, when a decision is made, individual “closes” himself to available information
selectively processing information compatible with his goal. Selective perception includes susceptibility to
using heuristics in addition with specific mind-set that encompasses this phase of self-regulation. Different
mind-sets – deliberative and implemental, are properties of the pre-decision and after-decision phase.
Research done with different modes of thinking has shown that inducing individuals into certain mind set,
frames their way of thinking, making them pay more attention to information congruent with the elicited
mind set. Induced to deliberative mind set, individual objectively perceives information about goal
feasibility, while in implemental mind set individual is biased towards overestimating this feasibility and
thus protecting himself from the distractions found out of the goal focus.
Considering all this, it gives us right to assume that subjects induced to deliberative mind set will be less
prone to heuristics like mental accounting and related categorizations, compared to the subjects induced to
implemental mind set who might show greater susceptibility to heuristical reasoning. In the latter, subject is
encouraged to make implemental intentions which help him protect his goal and be more focused to
achieving the goal. In the following research, we shall propose that mental accounting existing phenomenon.
In addition, in the case of implemental mind set, we assume subjects will be more susceptible to mental
accounting as a tool supporting the appointed goal - in our case "saving". In the economic sense,
implemental mind set will lead to less rational behavior.
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2. THEORETICAL FRAMEWORK
2.1 BEHAVIORAL ECONOMICS
The 1979 paper by Daniel Kahneman and Amos Tversky titled “ Prospect theory: An analysis of decision
making under risk”, published in most popular economic journal at the time - Econometrica, went on to
become the most cited paper in social sciences (Kahneman & Tversky, 1979). One could argue that
Kahneman and Tversky have provided the most important contributions to the growth of behavioral
economics – a scientific discipline that aims at improving economics explanatory and predictive power by
providing it with reliable psychological foundations (Camerer & Loewenstein, 2002), as a separate scientific
discipline. The main contribution of behavioral economics to mainstream classic (neoclassic) economics is
the provision of empirically tested understandings of individual behavior that deviates greatly from the
rational assumptions held by orthodox economics found in majority of economic textbooks. At the onset of
their careers Kahneman & Tversky were studying intuitive beliefs and choices and limited rationality and
their prime goal was to advance the field of decision making in psychology (Kahneman, 2003).
2.1.1 FRAMING AND PROSPECT THEORY
One of the central findings of Kahneman & Tversky is applied to the susceptibility of people to be
influenced by the way a situation or choice is presented. The authors equate the term “frame” with a
“reference point”, and in the function of that reference point, people change their preferences. According to
Kahneman and Tversky (1981), decision-making “frame” involves personal view of the possible options,
their outcomes, and the probability of linking options with their outcomes or consequences. The frame may
have external or internal source whereby it could be provided by formulation of a problem or it could arise
from personal characteristics such as beliefs, attitudes, or habits.
The focal point of Prospect theory is that gains and losses are perceived very differently, meaning, they
have different psychological value to an individual. The same amount of loss or gain does not have the same
absolute consequences in terms of value. Losses actually hurt more than do gains feel good. Thus, in the
prospect of loss, a person becomes loss averse. Further assumptions derived from the Prospect theory include
directions on how to frame certain financial outcomes, assumptions that later led Richar Thaler (1990, 1999)
to develop the theory of mental accounting.
2.1.2 MENTAL ACCOUNTING AND RELATED CATEGORIZATIONS
Kahneman & Tversky in their work also studied psychological accounting as a way of framing decisions.
Subsequently, Thaler (1999) classified it as mental accounting and defined it as a set of cognitive operations
used by individuals or households to organize, evaluate, and track their financial activities. Mental
accounting is based on the assumption that people make “irrational” economic decisions because of the way
they designed their schemes related to money and consumption. Mental accounting is a phenomenon, which
examines the existence and the use of “mental accounts” through a set of cognitive operations that
individuals use in order to organize, evaluate and monitor financial activities, specifically gains and losses
(Brendl et al., 1998). In this context, they use mental categories that serve to group expenses and transactions
associated with a particular event or option. The notion of mental accounting distorts the economic concept
of fungibility that assumes the absolute amount of money is equally perceived regardless of the form (e.g.
cheque, cash, or card) (Brendl et al., 1998; Thaler, 1999; Chatterjee & Rose, 2012; Chatterjee et al., 2000).
Fungibility assumes that individuals are equally inclined to spend money regardless of the form as long as
the absolute value of the form of money is equivalent. Due to different mental accounts, studies have shown
that consumption associated with each account is perceived differently i.e. it is common for the same amount
of money to have a different perceived value through different mental accounts.
Frisch (1993) distinguishes between several framing categories (situations): with different reference
points such as gain/loss, relative/absolute value, nominally different mental accounts (the theatre ticket
situation, later in the text) and the situation of irreversible costs as a separate framing category.
The method of hypothetical choices in the form of “imagine” is often referred to as the “thought
experiment” and it is assumed that the choices in that context are at least a reasonable approximation of
behavior that would happen in the “same” real context. Prospect theory by Kahneman and Tversky as well as
Thaler’s work on mental accounting is based on thought experiments. Angner and Loewenstein (2007)
commented that Thaler’s hypothetical situations are so real that they excuse themselves from criticism. In
most cases in the study of mental accounting, experimental designs comprised of hypothetical situations are
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used. The most common form of such an experimental design involves a minimum of two experimental
groups that receive different manipulative instructions or are simply placed in two different framing
situations. Every situation has two variants where mental accounting is proved by a statistically significant
difference in the results between these two situations.
In the context of the elaboration of Prospect theory (Kahneman & Tversky, 1981) conducted a study in
the situation of going to the theatre. They examined the likelihood of purchasing a ticket in the situation
where there has been a loss of a previously purchased ticket as well as in the situation of previously lost sum
of money equivalent to the price of the ticket. In the former scenario, after losing the purchased ticket, only
46% of participants were willing to buy a new ticket. This is significantly less than the 88% of participants
who were willing to buy a ticket after losing $10 from their wallet. Mental or psychological accounting
demonstrates that the “account” in a situation of losing a ticket has significantly negative balance and
therefore influences the decision about not buying a new ticket. Buying new tickets in this scenario falls
within the scope of an existing account where the first ticket was already purchased. Losing money is more
abstract and it does not belong to any particular topical account thereby making it “easier” for people to give
the new $10 for a ticket (Brendl et al., 1998).
The literature on mental accounting also mentions sunk cost fallacy which refers to the tendency of
continuing efforts to an activity after investing money, time or effort (Arkes and Blumer, 1983). In the
context of social psychology it refers to justifying the effort that is closely related to the notion of cognitive
dissonance (Festinger, 1957). Sunk cost leads to further investment in projects and events despite new
adverse conditions that reduce the effectiveness of the project as well as the attractiveness of further pursuing
the same activity. Arkes and Blumer (1985) and Thaler (1980) suggest that another interesting example in
which investing into something leads to the sunk cost effect and commitment to a situation in which they
invest despite the adverse conditions. The authors are discussing the phenomenon of increased willingness of
going to a concert for which the tickets have been bought in times of adverse financial conditions, compared
to participants who received the same ticket. Participants were less likely to close the account in which they
have a negative balance (they paid for the ticket) with the loss and to a greater extent, decided to go for the
concert. Because money not spent on the ticket is still not part of any account, losing it did not result in any
negatively affected mental account. Money per se is quite abstract notion and is hard to be perceived in
absolute terms (Ariely, 2009).
When faced with a choice between purchasing a jacket ($125) and a pocket calculator ($15). In each
frame there is an offer with an additional saving option in the form of a 20 minute walk to a nearby store
where the same product costs $ 5 less ($120 jacket and $10 calculator). The results are indicating that the
participants would rather choose walking in the situation of buying the pocket calculator (Tversky &
Kahneman, 1981). The study showed that participants were again influenced by topical account. Greater
perceived saving in the case of a pocket calculator had a greater impact on the final decision whereby 68% of
the participants stated they would prefer to walk for a $5 saving in the case of a pocket calculator in contrast
to 29% for the identical saving in the case of jacket (Kahneman & Tversky, 1983). The example also shows
that people take into account the context and instead of absolute value, they perceive relative value of the
outcome. As a result, they value money less, which encourages higher expenditure and the value of a small
discount is decreased.
The effect of windfall gain is related to the house money fallacy. This fallacy is defined by different
categorization and a different propensity to spend the money an individual finds not his own but received by
prior gambling (Thaler & Johnoson, 1990, Milkman et al, 2009). In classical study conducted by Thaler &
Johnson (1990), participants were exposed to two situations: 1) possibility to gamble after receiving $30
where by further gambling there is a 50% chance to gain $9 and a 50% chance to lose $ 9, and 2) possibility
of gambling where there is a 50% chance of winning $ 39 and 50% chance of winning $ 21. Participants
were willing to gamble in the first situation (77% vs. 44%), which the authors called the two step
process since in the first step subject "gets money" and in the second step subject is presented with the
gamble "at once". As an explanation of this phenomenon Thaler & Johnson (1990) state that after winning,
gambling preference depends on the amount of potential loss. Small loss and higher income become
integrated, which reduces the impact of risk aversion and risk seeking increases. According to Thaler and
Johnson (1990), the second situation does not give the sense that participants were "ahead" of the potential
losses in that case the assumption which stands arises from Prospect theory - the loss potentiates risk seeking
According to Chatterjee et al. (2009), mental accounting is one of the most relevant theories of decision
making in the last 50 years. It is a rich and descriptive theory about the way humans make economic
decisions and the way schemes about money and spending are set up. If we perceive mental accounting as a
way of categorizing or grouping, it does not lead to suboptimal economic decisions but provides us with
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facilitated approach to information relevant to our goal (Henderson and Peterson, 1992). In this context,
mental accounting rather facilitates than undermines reasoning aligned with the goals. Furthermore, mental
accounting can be a very useful strategy to organize knowledge. Given that we organize our knowledge in
the form of goals, mental categories are becoming goals that include relevant information related to
individual goals, their achievement, and reference points for comparison to external factors and contexts
(Brendl et al., 1998). Following the logic of mental accounting as way of self-regulation and taking into
account the goal of the study where we will try to connect two fields, which are dealing with mental
processes and behavioral regulation it is necessary to make an introduction to the theory of self-regulation.
2.2 THE THEORY OF ACTION PHASES
Gollwitzer and Bargh (1996) in their theory of action phases breaks down the process of self-regulation
on: 1) Predecision action phase, 2) Making a decision and preaction phase, 3) Action initiation and the action
phase and 4) Goal achievement and the post action phase. Mind-set is based on cognitive processes that
encourage task solving that is activated precisely with that mind-set. With regard to deliberative and
implemental mind set, mode of thinking refers to cognitive process related to the way a person chooses
between different options or how a person plans an action to reach desired goal. In the end, theory of action
phases has its anchor in numerous empirical studies, experimental as well as applied (e.g. HRM) (Gollwitzer
& Bargh, 1996; Heckhausen & Heckhausen, 2008).
In pre-decision phase, deliberative mind set is activated while in preaction and action phase volitional
implemental mind set is implied. In the last phase, we return to the motivational process, this time evaluative.
Pre-decision and post-action phase imply motivational, while pre-action and action phase imply volitional
process – the mere core of self-regulation process. Since motivational and volitional processes activate
different mind-sets, there is a strong distinction between mental account assigned to pre-decision deliberation
and mental account activated to forming intentions. Different cognitive orientations are adaptive inasmuch as
the context of decision making and available cognitive resources. When motivational process is activated, a
person is cognitively oriented to deliberation. Individual is thinking about his need and wants to choose the
ones which are desired and achievable. The focus is set on reasoning about positive and negative information
concerning the goals one is deliberating about. It is shown that experimental induction to deliberative mind
set leads to greater openness for information, objective evaluation of the options, cognitive priming to
information relevant for goal desirability and lesser susceptibility to self-serving (Gollwitzer et al, 1990,
Gollwitzer and Kinney, 1989, Armor and Taylor, 2003; Brandstaetter et al, 2001, Gollwitzer and Oettingen,
1998).
In a phase where a decision about the goal is reached, the individual is planning the action and is focused
on information supporting his goal. This includes committing to the favourable opportunities for action and
creating implementation intentions. Implemental mind set is characterized by focusing to goal achievement,
to questions such as “when”, “where” and “how” to initiate, attain and finish behaviors directed to achieving
the goal. Focusing himself to the implementations, individual creates positive illusions and heightens his
expectations related to the goal achievability (Taylor i Gollwitzer, 1995). By doing this, a person is assuring
itself with an active goal approach.
The key concept in the context of volitional process is making implementation intentions, which in
comparison to just deliberating about the goal, have greater influence on the volition toward reaching the
goal (Gollwitzer i Bargh, 1996). Implementation intentions are subordinated to goal intention and can be
found in the form of “If situation X happens, then I’ll do Y”. This form is relevant in the case that a problem
of volition in reaching the goal arises. In their classical study, Gollwitzer and Brandstatter (1997) were
looking at the degree in which two groups of students will fulfil their assignment on time. Participants were
induced to two different mind-sets and the task included writing a report about their holiday times. The
deadline was 48 hours. The research showed that two thirds of participants that planned details on how and
when to write the report really submitted the report due to the deadline. On the other hand, only one third of
participants who did not write their implementation intentions submitted the task on time.
Taking all into account, the main research question of this paper is to explore if there is a mental
accounting effect, or in other words, do the differently framed hypothetical situations elicit different
responses and if activating different mind-sets leads to greater susceptibility to mental accounting. We expect
that the framing effect exist to acknowledge the construct of mental accounts. Furthermore, we expect to find
that by inducing subjects to deliberative mind set will lead to less mental accounting. In the situation of
implemental mind set, subjects will be more susceptible to mental accounting since some frames of the
situations will be more compatible with their goal than this will be the case in the deliberative condition. The
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goal about which our subjects will deliberate or plan action is saving. Activities that people are not at ease
with usually involve short-term costs and only long-term benefits and therefore require an intensive selfregulation of behavior and commitment (Gollwitzer and Oettingen, 1998). Saving is just one of those
activities. It requires a high degree of self-control and commitment, and assumes that the behavior towards
people is neither inherent nor easily conducted (Laibson et al., 1998). If we manage to confirm the
assumption about the existence of mental accounting in relation to implemental mind set, it could mean that
mental accounting indeed serves as a way of self-regulating behavior. In this line of thought, these findings
could be helpful in creating policies that help direct people to certain economic goals that benefit their
financial well-being.
The main goal of this research is to verify the existence of mental accounting phenomena and their
relation to different self-regulatory mind-sets. Research objectives are:
1. To test the existence of mental accounting and related categorizations by using hypothetical decision
scenarios with different situation frames
2. To analyse whether susceptibility to mental accounting can be related to different self-regulatory mindsets induced by experimental manipulation
3. RESEARCH METHODOLOGY
3.1. RESEARCH DESIGN
Experimental research design consists of two independent measures. Independent variable refers to
different mind-sets and has two levels or conditions (IV):
1) Deliberative mind-set that is induced by using questionnaire instructions to deliberate about reasons
against and for the goal of saving (IV1)
2) Implemental mind set induced by using questionnaire instructions to make implemental intentions about
the goal of saving (IV2)
Dependent variable represents mental accounting scenarios measured by using hypothetical decisionmaking situations, all of which are related to some kind of money transaction. To provide evidence for the
existence of mental accounting there need to be two versions of the situation, and consequently two
questionnaire versions. Two different versions of the situations differ in the frame of situation, meaning that
situations are economically equivalent but not in the sense of context they describe. The difference in
participants’ answers indicates that frames elicit different types of mental environment and thus different
judgment and response. Participants respond in the range from 0 to 100% of probability of required action.
Since there are two levels of independent variable and every situation requires two versions of the frame, we
used four versions of questionnaire. Therefore, we had four independent measures or groups.
3.2. SAMPLING
Research was conducted during 2013. Participants were selected using no probabilistic method. Main
criteria for the participant selection were permanent employment or retirement. This criteria is selected
because of the assumption that people who have experience with money also have more developed money
schemes, therefore, being more appropriate as participants in a research that analyses mental accounting.
Two hundred participants (N=200) participated in this research. Each experimental group consisted of
hundred participants (N=100). Age ranged from 21 to 80 years, with a mean of 34 (M=33,80, SD=9,46).
There were 57% of males and 43% of females. Majority of participants had some kind of college degree
(54%), about one third had master or doctoral degree (31%) while 15% had only high school degree.
Average personal income was 7776 kunas (equivalent of 1140 USD) per month. Participants mostly save
(72%)
3.3. PROCEDURE
To participants who agreed to take part in this research, the purpose of the research was explained with
the notion that their response to it was anonymous. Participants filled out the questionnaires individually and
delivered them sealed in provided envelopes. All participants were randomly assigned to the experimental
conditions. They had a chance to select the envelope they wanted. Duration for filling the questionnaire was
estimated to be 10 minutes.
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3.4. INSTRUMENT
Instrument for this research had four versions. Each questionnaire version had different manipulative
instruction that was responsible to induce different mind-sets. The instructions were created by modifying
the instructions used in original studies conducted by Gollwitzer and his colleagues.
Deliberative mind set (IV11): “Imagine you are thinking about saving. Take your time and think of two
reasons of why say YES to saving and two reasons of why NOT to save. Write down your reasons in the
lines below” (same instruction to QV1 and QV2). Implemental mind set (IV12): „Imagine that you have
decided to save. Take your time and think of at least four key steps or actions you are willing to take so you
can stick to your decision about saving. Write down your answers in the form of “In situation …, I’ll try to
...” or “I’ll put effort to…” (Same instruction to QV1 and QV2). The control question with regards to
inducement of different mind-sets was: “How committed do you feel to behave accordingly to the goal of
saving in certain situations?” Participants answered using probabilities in range from 0 to 100%.
After manipulative instructions and control question, participants responded to 5 hypothetical situations
using probabilities (0 to 100%) while giving answers to these situations. Every mental accounting situation
implies to specific mental accounting phenomena and represents nominal category. Different frames are
needed to help demonstrate existence of mental accounting and the effect of these frames. All situations are
taken from original studies and/or are in certain degree adjusted or/and changed (Appendix)
4. RESULTS
4.1. TEST OF INITIAL COMPARABILITY OF EXPERIMENTAL GROUPS
When using experimental research design it is necessary to assure random assignment in experimental
conditions or groups. This precondition is necessary to ensure that the groups are comparable according to
relevant traits so the effects of known and unknown variables are equally distributed to all experimental
conditions. Participants in all 4 experimental situations are comparable to all tested demographic
characteristics. The test of comparability of experimental groups in relation to gender (χ²=2,693, p>0,01),
education (χ²=4,972, p>0,01) and saving (χ²=4,275, p>0,01) are conducted and revealed that all groups do
not statistically differ in terms of these variables. (More detailed data can be requested from the authors).
4.2. TESTING THE EXISTENCE OF MENTAL ACCOUNTING AND RELATED
CATEGORIZATIONS
In Table 1, for every situation there is an indication of the direction of framed answer. Since participants
answered these situations using the level of probability of certain action, sign “less” or “more” indicates the
direction of answer in relation to mean average of the group. In the case of sign “less” (<), framed answer is
the one that in this version has smaller (absolute) value.1
Table 1
Direction of answers within situational frames
QV 1
Frame
1
QV 2
Theatre
Loss of ticket
Response
direction
<
Frame
Loss of money
Response
direction
>
Concert
Received ticket
<
Bought ticket
>
Walk
Greater relative saving
>
Smaller relative saving
<
Gambling
Prior gain
>
Prior loss
<
Coin
House money
>
No house money
<
For clearer picture please read full situation descriptions and its frames in Appendix
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Table 2
Descriptive statistics and ANOVA for effects of frames of all situations of mental accounting
QV 1
M
SD
QV 2
M
Theatre
61,97
36,8
93
Concert
28,09
29,4
Walk
91,64
15,73
Gambling
32,37
Coin
27,19
SD
SD
F
p
13,85
59,613
0,000
61,5
35,85
50,805
0,000
82,77
27,37
7,282
0,008
34,71
10,05
16,26
31,923
0,000
36,41
15,11
24,22
7,289
0,008
The data in Table 2 is showing that in all situations of mental accounting we found statistically significant
difference in average situation frame means. These results indicate that different frames result in difference
in responses and, respectively, indicate the existence of mental accounting. Participants are, in general, more
inclined to buy theatre ticket after losing amount of money equivalent to the price of ticket rather than after
losing already purchased ticket (F=59,613, p<0,05), more apt to go to the concert during a thunderstorm
when they have bought their ticket rather than after receiving it for free (F=50,805, p<0,05), more ready to
walk for relatively larger amount of savings while buying a smaller product (F=7,282, p<0,05), more willing
to gamble after prior gain instead of prior loss (F=31,923, p<0,05) and more prone to gamble in the situation
of gambling with house money instead of their own (F=7,289, p<0,05). Greatest difference in responses
between different frames was found in the case of concert situation, where the difference in values between
two frames amounts 33%, following theatre situation, where the difference between frame response values
equals 31%. Frames in these situations result in most significant mental accounting where judgment is
influenced by decision context and where deciding in present moment depends heavily on past events. In the
Concert situation ones answer is influenced by sunk cost and in the Theatre situation ones answer is
influenced by different perception of money presented in different forms. The smallest difference in
responses is found in two versions of Walk situation where high mean average value indicates great
readiness to walk additionally for additional saving in both frames. Rather low mean averages are found in
situations that include some kind of gambling – Coin and Gambling situation. In general, participants are
more risk averse, especially in the frame of gambling after prior loss and when gambling with own money.
In addition, it is interesting to notice the values of standard deviations. High standard deviations in one of the
version inside one hypothetical situation might indicate that those frames elicit intensive mental accounts.
4.3. TESTING THE MAIN EFFECT OF MINDSET TO SUSCEPTIBILITY TO MENTAL
ACCOUNTING AND INTERACTION EFFECT OF MINDSET AND DIFFERENT SITUATION
FRAMES
One of the basic assumptions in this research is that participants induced to implemental mind set and
thus more oriented to the goal of saving will be more prone to be influenced by certain situation frames. That
is, we anticipate interaction effects between different modes of thinking (mind-sets) and different versions of
situations.
Table 3
Test of main effect of mind set on goal commitment (control question)
Mind-set
M
SD
N
Deliberative
60,24
31,6
100
Implemental
69,40
23,2
100
df
1
F
5,233
p
0,023
Related to our theoretical assumptions, manipulative instructions led to statistically significant difference
in the level of commitment to saving, following the assumption that different mind-sets will lead to different
level of susceptibility to mental accounting. Participants induced to implemental mind set and thinking about
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the decision to save show statistically higher level of commitment to saving (M=69%) compared to
participants induced to deliberate about saving (M=60%) (F=5,233, p<0,05 (Table 3). Although this
difference in mean averages is significant, it is important to notice that on average, most participant estimate
relatively high level of commitment to saving irrespective of manipulative induction (around 65%).
The effect of different mind-sets on susceptibility to mental accounting appeared to be insignificant,
meaning that different mind-sets have no relation to susceptivity to mental accounting (Table 4). From
looking at the significance of interaction effects, we conclude that in each situation of mental accounting
there is no difference in mean averages in different mindset conditions. Frames, equally in deliberative and
implemental mindset condition, influence participants.
Table 4
Test of main and interaction effects for different mind-sets across different versions of mental
accounting situations
Theatre
Concert
Walk
Gamble
Coin
Mindset
QV
M
SD
M
SD
M
SD
M
SD
M
SD
Deliberative
1
2
28,16
19,13
38,42
26,81
28,47
66,74
30,64
34,85
89,57
84,85
17,38
23,55
32,30
11,49
38,15
18,05
28,16
19,13
38,42
26,81
Total
23,78
33,45
47,80
37,91
87,18
20,75
22,22
31,75
23,78
33,45
1
26,22
34,65
27,70
28,38
93,82
13,66
32,44
31,28
26,22
34,64
2
10,82
20,54
56,26
36,42
80,60
30,98
8,62
14,28
10,82
20,54
Total
19,01
29,78
42,42
35,62
87,13
24,80
20,90
27,21
19,01
29,78
Implemental
F
p
Theatre
Mindset
QV*Mindset
0,219
0,008
0,64
0,927
Concert
Mindset
1,439
0,232
QV*Mindset
1,073
0,302
Mindset
0
1
QV*Mindset
1,638
0,202
Mindset
0,12
0,73
QV*Mindset
0,145
0,703
Mindset
1,283
0,259
QV*Mindset
0,459
0,482
Walk
Gambling
Coin
Since the attempt of inducing participants to different levels of commitment to saving had its effect, there
is still possibility that this result is influenced by the fact that some participants save a priori. Therefore, we
could assume that the act of saving in real life might interfere with our manipulative instructions and/or
influence participants in their susceptibility to frames and mental accounts. Therewith, if we control for the
variable of saving we might miss out the difference found in the level of commitment between different
mindset conditions. Test of this assumption can be found in Tables 5 and 6.
Table 5
Descriptive statistics for the level of dedication to the goal of saving for respondents who save and
those who do not save
M
SD
N
Don't save
49,49
30,425
51
Save
69,2
25,209
134
Total
63,77
28,087
185
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Table 6
ANCOVA for mind-sets and the level of dedication while controlling for saving
Source
df
Mean Square
F
Sig.
Mindset
1
2522,129
3,578
0,06
Saving
1
12800,81
18,161
0,00
We ran ANCOVA while controlling for variable of mindset induction and obtained the result that
participants who save have higher level of goal commitment independent of manipulative priming
(F=18,161, p<0,05). Participants who save feel more committed to saving (M=70%) compared to ones who
are not saving (M=50%). In this analysis, difference in the commitment level between participants in
different mindset condition is not statistical significant any more (p>0,05). This result indicates that the
manipulation effect is mediated by the saving in real life. Furthermore, we assumed that participants who
save in real life will, consequently, in certain mental accounting situations show more susceptibility to
mental accounts (Table 7).
Table 7
Test of main and interaction effects for different versions of mental accounting situations and different
saving behavior
Theatre
Concert
Walk
Gamble
Coin
QV
Saving
M
SD
M
SD
M
SD
M
SD
M
SD
1
No
57,62
37,93
41,50
32,04
84,71
18,83
27,62
29,94
25,38
35,56
Yes
61,96
36,78
24,37
28,46
92,47
15,39
36,39
36,22
29,39
37,26
Total
60,94
36,89
28,26
30,00
90,84
16,36
34,36
34,91
28,46
36,72
No
89,43
16,38
64,16
35,19
90,43
20,41
10,65
16,57
19,66
26,82
Yes
95,38
12,15
60,25
36,35
79,06
29,61
9,76
16,22
12,98
22,82
Total
93,46
13,85
61,50
35,85
82,77
27,37
10,05
16,26
15,11
24,22
2
Theatre
Concert
Walk
Gambling
Coin
F
p
QV
49,691
0,000
Saving
1,235
0,268
QV*Saving
0,03
0,862
QV
Saving
QV*Saving
28,39
3,667
1,449
0,000
0,057
0,230
QV
0,933
0,335
Saving
0,206
0,651
QV*Saving
5,795
0,017
QV
23,509
0,000
Saving
QV*Saving
0,769
1,152
0,382
0,285
QV
4,478
0,036
Saving
QV*Saving
0,065
1,042
0,799
0,309
Considering all the data from Tables 7 and 8, we can conclude that the assumption about the effect of
saving on responses in different framing situations is not wholly justified. Nevertheless, there is interesting
result in the Concert situation where participants who save show greater sensitivity to the context since there
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is an average of 24% probability of going to concert after buying the ticket and an average of 60%
probability of going to concert in the frame of receiving the ticket. In the case of participants who don’t save,
we found that, on average, there is 42% probability of going to concert in the former condition and average
of 64% of probability of going to concert in the later condition (F=3,667, p<0,06). In addition, a difference in
susceptiveness to context is significantly greater for participants who save when it comes to version of Walk
situation. We found significant interaction effect between saving and frames of this situation (F=5,795,
p<0,05). Participants who save are more prone to walking for additional discount when it is perceived as
larger relative to original price (M=36%) compared to participants who don’t save (M=28%). This difference
is not found in the other frame of this situation where the amount saved after walking is the same but its
relative share in original price is smaller (M=10% vs. M=11%). In the rest of the situation frames we found
no significant results.
5. DISCUSSION AND CONCLUSIONS
In the first analysis, we have focused on answering to our first research goal - the test of mental
accounting and related categorizations. Hereby, we have tested the effect of frames used in each hypothetical
situation. Since there was a statistically significant framing effect in every pair of situation versions, different
frames elicited the existence of mental accounting, which has proved to be a quite robust and constant
phenomenon. Theatre situation (that is referred to as reference point situation) resulted in strongest framing
effect. The other scenarios, reflecting the phenomena of the house money effect, sunk cost fallacy and loss
aversion, were proven to exist since the framing effect resulted in statistically significant differences in
participants' responses. By providing different answers to the frames, we can hypothesize that frames
activated different mental contexts, influencing, thus, the direction of participants' responses. Within every
mental accounting situation used in this research, we have a frame that elicits strong mental frame or context.
From looking at the mean averages, we can notice that participants show indicative level of loss aversion and
“spending” aversion. More disruptive frames include lost theatre ticket, bought concert ticket, walking for
higher relative saving, gambling after prior loss and tossing a coin while not using house money. Situations
that have economically equivalent values from the economic standpoint are assumed to elicit responses
independent of the frames and context of a certain economic problem. These rational assumptions deviate
greatly from the real life behavior of economic agents.
Concerning our second research goal, the test of the main effects of different mindset effect resulted in
the absence of any significant result, suggesting that either directing participants think openly or more
economically focused does not result in different susceptibility to mental accounting. Nevertheless, dividing
participants to the ones who save and the ones that don’t and looking at their sensitivity to mental
accounting, we found some interesting data that slightly lead to a premise that saving could be related to
certain uses of mental accounting. This result indicates that our manipulative instruction interacted with the
saving that participants encounter in their real life. The statistically significant effectiveness of manipulative
instruction has led to a greater sense of commitment to saving in the condition of implemental mindset
compared to the level of commitment in the deliberative mindset condition. This result went above the range
of acceptable significance level when we controlled for the variable of saving. There is a moderately high
level of commitment to saving among all the participants, which can be discussed in the light of current
economic situation in Croatia where people save more than before economic crisis. Our manipulative
instructions only contributed slightly to already present commitment to saving. Because we found that in
some situations participants more focused to save are more sensitive to mental accounting, we could argue
that mental accounting can be seen as a self-regulatory strategy. Saving, in an economic context, is rational
behavior since its purpose is to assure a better quality of life in the future. Therefore, the right question about
the state of mental accounting is not whether it is rational or not, but whether it is useful or not. From that
perspective, mental accounting is very reasonable to use if one wants to protect its goals.
In this research, we confirmed numerous violations of rational decision theory that assumes consistency
of preferences independent of the way situation is presented. It seems that only one word can influence
mental context and lead to different perception of situation and consequently different response. This result
is in line with all the research that accentuates the contextuality of people's decision-making process.
Accepting the fact that people do not make decisions in vacuum but in the real-life and very subjective
context means that by creating this decision context we can influence the direction of decisions. Applications
of this finding show great potential in the arena of public policy. For example, if we make salient the
information about saving to people or remind them of their own saving, we could direct them to make
choices that are more rational. Choice architecture that takes into account effects of situational framing can
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be the tool to "push" people into making decisions that serve in their better interest. Moreover, the finding
that instructing people to make implementation intentions to save actually made them feel more committed
to saving, could also serve as a great tool to motivate people to be more aligned with the behavior that leads
to their goals. The main problem with goal accomplishment is the lack of intentions and actual steps of
actions that help achieve the set goals. There is a need to design real-life experimental research that tests
these assumptions. One major contribution of this research is its greater real-life validity and experimental
design used on people who earn and save their own money. Majority of the research done in the field of
decision-making is conducted mostly on students.
Methodological limitations of this research are several. Firstly, making hypothetical implementation
intentions is not as strong as making them in real life. Although there is stronger correlation between
intention and behavior rather than between attitude and behavior, we still hold on to situations that are only
present in mental context. The reason we did not confirmed the main effect of different mind-sets on mental
accounting could be assigned to this methodological remark. Likewise, the measure of response might also
affect the end results since we used the level of intention expressed in percentages. In most of original
studies, authors used categorical responses like “yes” and “no”. We decided to use the scale so we could
perform parametric statistics. The way a question is asked can also lead to different answers. In the future, it
is advisable to expand the analysis to individual characteristics like personality, cognitive style and similar.
In addition, it is commendable to use situations that are more hypothetical or categorize them and develop
more situations that represent one type of mental accounting. It would be interesting, also, to develop
instrument to measure susceptibility to mental accounting.
REFERENCES
1. Angner, E., & Loewenstein, G. (2007), "Behavioral Economics", In: D. Gabbay, P. Thagard & J. Woods (Ed.),
Handbook of the philosophy of science (641-690). Amsterdam: Elsevier.
2. Ariely, D. (2009), Predictably Irrational: The Hidden Forces That Shape Our Decisions, London: Harper.
3. Arkes, H., & Blumer, C. (1985), "The Psychology of Sunk Cost", Organizational Behavior and Human Decision
Process, 35, 124–140.
4. Arkes, H. R., Joyner, C. A., & Pezzo, M. V. (1994), "The psychology of windfall gains", Organizational behavior
and human decision making processes, 59, 331–347.
5. Armor, D. A., & Taylor, S. E. (2003), "The effects of mindset on behavior: Self-regulation in deliberative and
implemental frames of mind", Personality and social psychology bulletin, 29, 86-95.
6. Baron, J. (2004), "Normative models of judgment and decision making", In: D. J. Koehler & N. Harvey (Ed.),
Blackwell handbook of judgment and decision making (19-36), London: Blackwell.
7. Brandstaetter, V., Lengfelder, A., & Gollwitzer, P. M. (2001), "Implementation intentions and efficient action
initiation", Journal of personality and social psychology, 81, 946-960.
8. Brendl, C. M., Markman, A., & Higgins, T. E. (1998), "Mental accounting as self-regulation: Representativeness to
goal-derived categories", Sonderheft Konsumentenpsychologie, 29, 89-104.
9. Camerer, C. & Loewenstein, G. (2004), "Behavioral economics: Past, present and future" in Camerer, C.,
Loewenstein, G. and Rabin, M. (Ed.). Advances in behavioral economics, Princeton: Princeton University Press.
10. Chatterjee, P., & Rose, R. L. (2012), "Do Payment Mechanisms Change the Way Consumers Perceive Products?
Journal of consumer research", 38, 1129-1139.
11. Chatterjee, S, Heath, T. B., Milberg, S. J., & France, K. R. (2000), "The differential processing of prices in gains
and losses: the effects of frame and need for cognition", Journal of behavioral decision making, 13, 61-75.
12. Chatterjee, S., Heath, T., & Min, J. (2009), "The Susceptibility of Mental Accounting Principles to Evaluation Mode
Effects", Journal of behavioral decision making, 22, 120-137.
13. Festinger, L. (1957), A theory of cognitive dissonance, Evanston: Row & Peterson.
14. Fiske, S. T. (2004), Social beings: A core motives approach to social psychology, New York: Wiley
15. Frisch, D. (1993), "Reasons for framing effects", Organizational behavior and human decision processes, 54, 399429.
16. Gigerenzer, G. (2005), "I think , therefore & err", Social Research, 72 (1), 1-24.
17. Gigerenzer, G. (2008), Gut feelings, Zagreb: Algoritam.
18. Gilboa, I. (2009), Rational choice, Cambridge: MIT Press.
19. Gilboa, I. (2010), "Questions in Decision Theory", Annual Review of Economics, 2 (1), 1-19.
20. Gilboa, I., Postlewaite, A., & Schmeidler, D. (2009), "Is It Always Rational to Satisfy Savage’s
Axioms?" Economics and Philosophy, 25, 285-296.
21. Gollwitzer, P. M. (1990), "Action phases and mind-sets", In: E. T. Higgins & R. M. Sorrentino (Ed.), The handbook
of motivation and cognition: Foundations of social behavior, 2 (53-92), New York: Guilford Press.
22. Gollwitzer, P. M., & Bargh, J. A. (1996), The psychology of action: Linking cognition and motivation to behavior,
New York: Guilford Press.
23. Gollwitzer, P. M., & Brandstatter, V. (1997), "Implementation intentions and effective goal pursuit", Journal of
personality and social psychology, 73 (1), 186-199.
44
Journal of Business Management, 2015, No.9
ISSN 1691-5348
24. Gollwitzer, P. M., & Kinney, R. F. (1989), "Effects of deliberative and implemental mind-sets on the illusion of
control", Journal of personality and social psychology, 56, 531-542.
25. Gollwitzer, P. M., & Oettingen, G. (1998), "The emergence and implementation of health goals", Psychology &
Health, 13, 687-715.
26. Gollwitzer, P. M., Heckhausen, H., & Steller, B. (1990), "Deliberative vs. implemental mind-sets: Cognitive tuning
toward congruous thoughts and information", Journal of personality and social psychology, 59, 1119-1127.
27. Harvey, J. T., & Garnett, R. F. Jr. (2008), Future directions for heterodox economists, Michigan: The University of
Michigan Press.
28. Hastie, R., & Dawes, R. M. (2001), Rational Choice in an Uncertain World: The Psychology of Judgment and
Decision Making, Thousand Oaks: Sage Publications.
29. Heath, C., & Soll, J. B. (1996), "Mental budgeting and consumer decisions", Journal of consumer research, 23, 40–
52.
30. Heckhausen, J., & Heckhausen, H. (2008), Motivation and action, Cambridge: Cambridge University Press.
31. Henderson, P. W., & Peterson, R. A. (1992), "Mental Accounting and Categorization", Organizational Behavior
and Human Decision Processes, 51, 92-117.
32. Kahneman, D. (2000), "A psychological point of view: Violations of rational rules as a diagnostic of mental
processes", Behavioral and Brain Sciences, 23 ,681 –683.
33. Kahneman, D. (2003), "Maps of Bounded Rationality: Psychology for Behavioral Economics", American Economic
Review, 93 (5), 1449-1475.
34. Kahneman, D. & Frederick, S. (2005), "A model of heuristic judgment", In: K. J. Holyoak & R. G. Morrison
(Ed.), The Cambridge handbook of thinking and reasoning (267-293). New York: Cambridge University Press.
35. Kahneman, D., & Tversky, A. (1972), "Subjective probability: A judgment of representativeness", Cognitive
Psychology, 3 (3), 430–454.
36. Kahneman, D., & Tversky, A. (1974), "Judgement under uncertainty: Heuristics and biases", Science, 185, 11241131.
37. Kahneman, D. & Tversky, A. (1979), "Prospect theory: An analysis of decisions under risk", Econometrica, 47 (2),
263–291.
38. Kahneman, D., & Tversky, A. (1984), "Choices, values and frames", American Psychologist 39 (4), 341–350.
39. Kahneman, D., & Tversky, A. (2000), Choices, values and frames, New York: Cambridge University.
40. Kahneman, D., Slovic, P., & Tversky, A. (1982), Judgment under Uncertainty: Heuristics and Biases, Cambridge:
Cambridge University Press.
41. Klein, P. A. (2006), Economics confront the economy, Cheltenham: Edward Elgar Publishing Limited.
42. Kunda, Z. (2002), Social cognition: making sense of people, London: The MIT Press.
43. Milkman, K. L. Beshears, J., Rogers, T. & Bazerman, M. H. (2009), "Mental Accounting and Small Windfalls:
Evidence from an Online Grocer" (Working paper). Harvard Business School. Available at:
http://hbswk.hbs.edu/item/5792.html (accesed: 20 February 2015).
44. Miller, G. A. (2003). "The cognitive revolution: A historical perspective", Trends in cognitive sciences, 7, 141-144.
45. Moskowitz, G. B. (2005), Social cognition, New York: Guilford Press.
46. Prelec, D., & Loewenstein, G. (1998), "The Red and the Black: Mental Accounting of Savings and Debt",
Marketing Science, 17, 4–28.
47. Samson, A., & and Voyer, B. G. (2012), "Two minds, three ways: dual system and dual process models in
consumer psychology", AMS review, 2 (2-4), 48-71.
48. Savage, L. J. (1954), The Foundations of Statistics, New York: John Wiley.
49. Stanovich, K. (1999), Who Is Rational: Studies of Individual Differences in Reasoning. Mahwah: Lawrence
Erlbaum Associates, Inc.
50. Stanovich, K. E. (2011), Rationality and the reflective mind, New York: Oxford University Press.
51. Stanovich, K. E., & West, R. F. (2000), "Individual differences in reasoning: Implications for the rationality
debate", Behavioral & Brain Sciences, 23, 645-665.
52. Stanovich, K. E., & West, R. F. (2002), "Individual differences in reasoning: Implications for the rationality
debate?," In: T. Gilovich, D. Griffin, D. Kahneman (Ed.), Heuristics and Biases, the Psychology on Intuitive
Judgment (421-440), Cambridge: Cambridge University Press.
53. Stanovich, K. E., & West, R. F. (2003), "Evolutionary versus instrumental goals: How evolutionary psychology
misconceives human rationality", In: D. E. Over (Ed.), Evolution and the psychology of thinking: The debate (171230). Hove (England): Psychology Press.
54. Stanovich, K. E., & West, R. F. (1999), "Discrepancies between normative and descriptive models of decision
making and the understanding/acceptance principle", Cognitive psychology, 38, 349-385.
55. Sternberg, R. (2004), Cognitive psychology, Jastrebarsko: Naklada Slap.
56. Taylor, S. E., & Gollwitzer, P. M. (1995), "Effects of mindset on positive illusions", Journal of Personality and
Social Psychology, 69, 213-226.
57. Thaler, R. H. (1980), "Towards a positive theory of consumer choice", Journal of Economic Behavior and
Organization, 1, 39-60.
58. Thaler, R. H. (1999), "Mental accounting matters", Journal of Behavioral Decision Making, 12, 183-206.
45
Journal of Business Management, 2015, No.9
ISSN 1691-5348
59. Thaler, R. H., & Johnson, E. J. (1990), "Gambling with the House Money and Trying to Break Even: The Effects of
Prior Outcomes on Risky Choice" Management Science, 36 (6), 643-660.
60. Tversky, A., & Kahneman, D. (1974), "Judgment under uncertainty: Heuristics and biases", Science, 185 (4157),
1124–1131.
61. Tversky, A., & Kahneman, D. (1981), "The framing of decisions and the psychology of
choice" Science, 211 (4481), 453–458.
62. Tversky, A., & Kahneman, D. (1973), "Availability: A heuristic for judging frequency and probability", Cognitive
Psychology, 5 (2). 207–232.
63. Tversky, A., & Kahneman, D. (1983), "Extensional versus Intuitive Reasoning: The Conjunction Fallacy in
Probability Judgment", Psychological Review, 90, 293-315.
64. Tversky, A., & Kahneman, D. (1986), "Rational Choice and the Framing of Decisions", The Journal of Business, 59
(4), 251-278.
65. Von Neumann, J., & Morgenstern, O. (1953), Theory of Games and Economic Behaviour, Princeton: Princeton
University Press.
46