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Transcript of Apocalypse Now March 2014
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Apocalypse Now:
When and Why Fear Increases Consumer Choice
ANDREW EDWARD WHITE
ANDREA C. MORALES
PATTI WILLIAMS
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Author Note
Andrew Edward White ([email protected]) is a PhD candidate in the Department
of Psychology at Arizona State University, 950 S. McAllister, Room 237, Tempe, AZ 85287-
1104. Andrea C. Morales ([email protected]) is $% &'(()*+ , -('./ 0% 1)**'233 4256+)3'26
7*28/992* 28 1)*:/3'6; at Arizona State University, PO Box 874106 Tempe, AZ 85287-4106.
Patti Williams ([email protected]) is Ira A. Lipman Associate Professor of Marketing,
University of Pennsylvania, 3730 Walnut Street, 700 JMHH, Philadelphia, PA 19104.
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CONTRIBUTION STATEMENT
In the current investigation, we explore the role of incidental fear in choice deferral.
Considering the potential relationship between fear and deferral from different theoretical
perspectives yields divergent predictions. Both valence-based explanations and the Appraisal-
Tendency Framework predict that fear will increase deferral. By contrast, the functional
approach links fear to negative expectations of unknown events, “tunnel vision,” and readiness
for action. In doing so, the functional approach predicts that fear should increase consumer
choice and reduce deferral. In a series of five experiments, we find clear and consistent support
for the functional perspective.
Overall, these findings demonstrate when and why fear affects the decision to choose or
defer. By focusing on fear, our research adds to recent work regarding the role of discrete
emotions in consumer choice and deferral. Further, in contrast to research showing that general
negativity increases deferral, our results demonstrate that a discrete negative emotion, fear,
actually reduces deferral and increases choice. Through this research, we also extend the
literature on discrete emotions to a novel consumer process—choice deferral. Although much
research has examined how discrete emotions affect consumer choice more generally,
participants in the typical study are rarely given the opportunity to delay or defer choice. Our
results show that when participants are explicitly given the opportunity to defer, incidental fear
actually increases the likelihood of consumers making a choice. Finally, because these findings
were uniquely predicted by the functional perspective, this research highlights the usefulness of
considering the relationship between emotions and consumer behavior from multiple
perspectives.
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ABSTRACT
Past research finds that general negativity increases deferral. Adopting a functional evolutionary
approach, however, we contend that the negative emotion of fear will increase choice. From a
functional perspective, it is risky to defer choice in fear-inducing conditions—the future is
unknown and you may not have the opportunity to make the same choice again. Further,
because fear is often activated in life-threatening circumstances, it compels immediate action to
overcome threats in the present environment. We suggest that fear differentially biases
perceptions of unknown products outside of one’s current choice set and known products within
the choice set. In five experiments, we find incidental fear: (1) increases choice and reduces
deferral, (2) leads to more negative evaluations of deferral options, (3) creates more positive
evalutaions of known options, and (4) these shifiting evaluations mediate the reltionship between
fear and choice. This pattern of results was not predicted by other theoretical frameworks and, as
such, highlights the usefulness of considering consumer behavior from a functional perspective.
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“Even if your foot is in the door or you bring someone into a conference room, you don’t win
the deal unless you actually get them to sign on the dotted line.” — Donald Trump
Closing the sale is the final and one of the most critical components of any consumer
transaction. As such, marketers have long been interested in finding better and more effective
ways to encourage a purchase on any given shopping occasion. Although prior research has
considered a number of actions that firms and sales teams can employ to close the sale (Boles,
Babin, Brashear and Brooks 2001; Hawes, Strong and Winick 1996; Moe and Fader 2004; Oakes
1990), little work has examined situational factors that increase consumer choice and reduce
choice deferral. In the current investigation, we propose that one such situational factor may be
the incidental emotion of fear.
Researchers have demonstrated that fear influences a range of consumer behaviors:
processing of advertisements and messages, the effectiveness of different persuasion tactics,
preferences for diversity and variety, the role of self-control in consumer choice, and the
usefulness of specific health communications (Block 2005; Block and Williams 2002;
Griskevicius et al. 2009; Keller and Block 1995; Keller and Lehmann 2008; Morales, Wu, and
Fitzsimons 2012; Winterich and Hawes 2011; White et al. 2013). In the present research, we
examine how fear might influence a person’s desire to choose now or defer choice until later. To
do so, we adopt a functional framework that links discrete emotions, such as fear, to mechanisms
adapted to help people overcome recurring sets of threats and opportunities (Griskevicius et al.
2009; Kenrick et al. 2010; Kenrick, Saad, and Griskevicius 2013; Lazarus 1991; Saad and Gill
2000; Saad 2007; 2011). Increasingly, researchers have used this functional approach to
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generate and test unique predictions about consumer behavior, and these studies have produced a
series of novel empirical findings (Durante et al. 2011; 2013; Townsend and Shu 2010;
Townsend and Sood 2012; Sundie et al. 2011; White et al. 2013)
According to previous research, general negativity increases choice deferral (Luce 1998).
Using the functional approach, however, we suggest something different—that under some
circumstances the negative emotion of fear may actually increase choice and reduce deferral.
From a functional perspective, it is risky to defer choice in fear-inducing conditions—the future
is unknown and you may not have the opportunity to make the same choice again. Further,
because fear is often activated in life-threatening circumstances, it compels immediate action to
overcome threats and colors perceptions of objects or events in the surrounding environment. In
a series of five experiments, we examine the effect of incidental fear on consumer’s willingness
to choose now or defer until later. In so doing, we compare hypotheses developed from the
functional evolutionary approach to those from the valence-based perspective and Appraisal-
Tendency Framework, and test the predictions generated by each.
FEAR, DECISION MAKING, AND DEFERRAL
The consumer behavior literature has examined a range of factors that can affect choice
among several potential alternatives. In the majority of this research, however, participants are
forced to choose among the alternatives—without an option to defer or delay choice. Because
many decisions involve a tension between making a choice in the present or deferring until some
point in the future, we contend that it is important to understand factors that shape
choice/deferral processes.
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Extant research suggests that deferral is primarily a means of coping with and alleviating
the negativity generated by choice uncertainty and decision-difficulty (Luce 1998). Indeed,
deferral is more common when no single option dominates a choice set and when consumers are
faced with difficult trade-offs (Dhar 1997; Dhar and Simonson 2003; Tversky and Shafir 1992).
More generally, it seems that any factor that affects decision-difficulty also affects the likelihood
of deferral. For example, adding a new product to a choice set can either increase or decrease
deferral, depending on whether it enhances or reduces decision-difficulty (Dhar 1997). When a
new option is similar to existing options, and distinctions between products become less clear,
deferral tends to increase. However, when a new option is inferior to existing options, and
people can easily eliminate it from consideration, deferral tends to decrease. Likewise,
presentation styles that affect decision-difficulty can also affect deferral: using more abstract
attribute ranges, harder to read font, or presenting options with incomplete information each
increases decision-difficulty, and as a consequence, also increases deferral (Dhar and Simonson
2003; Gunasti and Ross Jr. 2008; Novemsky et al. 2007).
Deferral is also influenced by situational factors that have little to do with the actual
products in the choice set. For instance, deferral is more likely, and choice less likely, when
people are asked to consider whether or not each product in a set is acceptable, rather than when
asked to select the best product in the set (Dhar and Nowlis 2004; Parker and Schrift 2011).
Situational time orientation also affects choice by differentially focusing people on the
immediate or future benefits of choice. When under time pressure and focused on the present,
people tend to defer less (Dhar and Nowlis, 1999). Relatedly, when feeling disconnected from
one’s future self, individuals choose today rather than defer consumption for the future (Bartels
and Urminsky 2011).
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As a whole, research on deferral has examined how several factors, from aspects of the
products in a choice set, to presentation style, to unrelated features of the situation, can influence
deferral. Much of this work is grounded in the notion that deferral is a means of coping with and
alleviating the general negativity created by decision-difficulty (Luce 1998). We seek to
advance this work in two important ways. First, previous research on the impact of emotion on
choice has often focused on general negativity, showing that decision difficulty created by the
choice set itself reduces choice. We build on this research by considering when negative
emotions may actually increase the likelihood of making a choice. Second, instead of examining
the relationship between general negative affect and consumer choice, we posit that it may also
be useful to explore how discrete emotions influence choice. Specifically, we contend that there
is an important relationship between incidental fear and choice.
Fear has been shown to influence consumer behavior in a number of ways. For example,
using fear to motivate behavior is a common persuasion technique, and fear appeals have been
used to promote a wide variety of products (e.g., Keller and Block, 1995; Morales, Wu, and
Fitzsimons 2012). Nevertheless, academic research on fear appeals has provided mixed evidence
regarding their effectiveness (e.g., Beck 1984; Hornik et al. 2008; Rogers and Mewborn 1976).
Although the majority of studies find a positive relationship between fear and persuasion (e.g.,
Stainback and Rogers 1983), others suggest that fear can impede message acceptance (e.g.,
Block and Williams, 2002; Janis and Feshbach 1953). Despite inconsistencies, the results of
four independent meta-analyses indicate that, in general, higher levels of fear are associated with
greater persuasion—though this relationship is moderated by a number of factors (Boster and
Mongeau 1984; Mongeau 1998; Sutton 1982; Witte and Allen 2000). For instance, the
persuasiveness of fear appeals can be affected by diverse factors ranging from the perceived
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severity of the threat and perceived response efficacy to self-construal and the message format
(Block 2005; Keller 1999; Rogers 1983; Witte 1992).
In addition to fear appeals, wherein fear is an integral part of the stimulus, several
theoretical perspectives have shown that incidental fear can influence consumer decision-
making. Using a valence-based model of emotion, researchers have found that fear, along with
other negative emotions, leads to more negative evaluations of targets, promotes more complex
thinking, and reduces reliance on mental shortcuts (Gorn, Goldberg, and Basu 1993; Murry and
Dacin 1996; Pham 1998). Researchers adopting the Appraisal-Tendency Framework have linked
incidental fear, through appraisals of uncertainty, to increased risk aversion and systematic
information processing (Lerner and Keltner 2001; Tiedens and Linton 2001). Finally, the
functional evolutionary approach has shown that incidental fear increases the effectiveness of
social proof heuristics, reduces the effectiveness of scarcity heuristics, and alters preferences for
diversification and variety (Griskevicius et al. 2009; White et al. 2013). In the current
investigation, we propose another way in which incidental fear influences consumer decision-
making—by affecting the likelihood of making a choice vs. deferring.
Valence-Based and Appraisal Tendency Perspectives
As described above, a number of distinct theoretical perspectives have been used to study
the relationship between emotion and consumer behavior. Perhaps the most common of these
perspectives is the valence-based approach, which emphasizes the distinction between positive
affect (e.g., "happiness") and negative affect (e.g., "sadness"). This valence-based perspective
predicts that evaluative judgments about a new target will be congruent with one’s current
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affective state, such that the affect creates a “halo” around the judgment—negative feelings
leading to more negative judgments and positive feelings leading to more positive judgments.
Supporting this thinking, consumer research has found affect-congruency effects for a wide
range of products and services (Gardner and Wilhelm 1987; Goldberg and Gorn 1987; Gorn et
al.1993; Murry and Dacin 1996; Pham 1998).
Considering the relationship between fear and choice, this valence-based perspective
predicts that fear will affect choice in the same way as other negative emotions. Further, existing
research finds that the general negativity created by decision difficulty is associated with reduced
choice (Luce 1998). Thus, if the negativity created by decision-difficulty can increase deferral, it
is possible that specific negative emotions, such as fear, will also increase deferral.
Although valence is an important aspect of emotional experience, a vast and growing
body of research suggests that emotions of the same valence can differentially affect consumer
outcomes if they vary along other key dimensions. The Appraisal-Tendency Framework starts
with the presumption that emotions arise from distinct appraisals of the social environment
(Lazarus 1991), and that emotions vary along several key appraisal themes or dimensions, rather
than just valence. These critical dimensions include: certainty, control, attention, and anticipated
effort (Lerner and Keltner 2000; Smith and Ellsworth 1985). The Appraisal-Tendency
Framework emphasizes the motivational carryover effects associated with these dimensions on
subsequent judgments, with research demonstrating that emotions of the same valence can have
substantially different effects on consumer outcomes if they vary on these appraisal dimensions
(Han, Lerner and Keltner 2007). In several studies, researchers have compared emotions that are
negative in valence, but differ in the underlying appraisal of certainty. These studies show that
anger, through appraisals of certainty, facilitates risk-seeking and heuristic processing, but fear,
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through appraisals of uncertainty and situational control, leads people to become risk-averse and
to engage in more systematic processing (Lerner and Keltner 2001; Tiedens and Linton 2001).
Thus, emotions arise because of appraisals of the environment, but importantly those appraisals
have been shown to carryover persistently beyond the eliciting situation, affecting subsequent
judgments and choices in ways that are consistent with the underlying emotion dimensions,
which are referred to as appraisal tendencies (Han, Lerner and Keltner 2007; Lerner and Keltner
2000).
From the Appraisal-Tendency Framework, one possibility is that the relationship between
emotion and choice deferral will be affected by underlying appraisals of certainty/uncertainty.
Past research has found that situational factors that increase uncertainty tend to reduce consumer
choice. Therefore, emotions associated with appraisals of uncertainty, such as fear and hope,
may reduce choice, but emotions that activate appraisals of certainty, such as disgust and pride,
may increase choice.
A Functional Approach to Fear and Choice Deferral
As discussed above, the valence-based perspective and Appraisal-Tendency Framework
generate specific hypotheses about how emotions will affect choice; regardless of the specific
processes at work, however, both predict that fear will ultimately reduce the likelihood of
making a choice. In the current investigation, we consider the relationship between fear and
choice deferral from a functional evolutionary perspective and propose that fear may actually
increase choice and reduce deferral.
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Increasingly, researchers have found it beneficial to study discrete emotions using a
functional evolutionary approach, and this framework has uncovered a number of novel findings
beyond those suggested by the valence-based perspective and Appraisal-Tendency Framework
(e.g., Ekman, 1992; Griskevicius et al., 2009; Griskevicius, Shiota, and Nowlis, 2010; Lazarus
1991; Saad 2011). According to the functional perspective, emotions serve to coordinate
psychological and behavioral responses to recurring sets of threats and opportunities (Ekman,
1992; Griskevicius et al. 2009; Kenrick and Shiota 2008). Thus, to understand the downstream
consequences of discrete emotions, it is important to recognize the specific threats or
opportunities to which those emotions are functionally-tuned. One way to conceptualize this
approach is to think of emotions as responses to a series of adaptive “if !then” statements.
Lazarus (1991) describes these types of universal “if !then” statements as follows: if a person
evaluates his or her relationship to the environment in a particular way, then a specific emotion,
which is tied to that evaluation, always results. From the functional perspective, the “if” part of
these statements refers to frequent threats and opportunities encountered by people across time,
such as the need to protect oneself from others, avoid disease, find a romantic partner, or acquire
status (Kenrick et al. 2010). The “then” portion of these statements refers to historically
successful responses for overcoming and surviving these threats, or for taking advantage of these
opportunities. Together these “if !then” statements allow for functionally-flexible responses to a
range of environmental conditions.
A useful example of this logic is the human disgust response. According to the functional
evolutionary framework, the emotion of disgust is adapted to help people survive disease threats
(Rozin and Fallon 1987). Thus, a functional “if !then” statement related to disgust is— if I
appraise an object in my environment as a disease threat (e.g., a moldy food or sick person), then
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I will respond with disgust. Once activated, the emotion of disgust coordinates cognitive and
behavioral responses adapted to avoid the potential threat (Mortensen et al. 2010; Schaller and
Murray 2008).
Though the evolutionary framework posits that responses to specific evaluations of the
environment are universal, it does not imply that every person will respond to each threat or
opportunity in the same way. Rather, it maintains that both developmental and sociocultural
factors can influence when a certain evaluation is generated (Kenrick et al. 2010; Lazarus 1991).
For instance, the functional perspective suggests that disgust follows from evaluations of
“disease threat,” but what constitutes a disease threat may vary, to some extent, from person to
person. A developmental event, such as getting sick after eating a certain food, may lead one to
evaluate that food as a disease threat, even though others do not. Likewise, norms that relate
certain foods to concepts of uncleanliness or disease may vary from culture to culture. In this
way, the functional perspective highlights both the universality in emotional responses, and also
provides a means of predicting variation in such responses.
Although the Appraisal-Tendency Framework and functional perspectives both consider
the effects of discrete emotions, they differentially characterize the relationship between
emotions and appraisal dimensions. The Appraisal-Tendency Framework emphasizes how
underlying appraisal dimensions differentiate discrete emotions and focuses on the carryover
effects their discrete appraisal tendencies have on subsequent judgments. The functional
approach suggests that while appraisal dimensions do differentiate among emotions, those
dimensions do not fully determine the consequences of activating discrete emotions
(Griskevicius et al, 2009). From the functional perspective, each emotion is linked to a
coordinated set of appraisals, perceptions, cognitions, and behaviors, and it is this coordinated
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suite of responses that helps people overcome specific adaptive problems (Griskevicius et al.
2010). Thus, whereas the Appraisal-Tendency Framework primarily focuses on the relationship
between emotions and appraisal mechanisms, the functional approach considers emotions more
holistically, with appraisals being just one of several important components.
From the functional perspective, fear is an integral component of the threat management
system that helps humans survive life and death circumstances (Bracha 2004; Wilson 1989;
Ohman and Mineka 2001). As described above, the functional perspective predicts that the
emotion of fear activates a coordinated suite of appraisals, perceptions, cognitions, and behaviors
to help the individual survive the immediate threat. Considering each aspect of this coordinated
response, researchers have uncovered a diverse set of responses to fear-inducing circumstances.
For instance, fear seems to generate negatively-biased appraisals for objects or events outside of
one’s immediate circumstances. In particular, people concerned with fear are more likely to
overestimate the likelihood of aversive future events and to perceive future events as risky (Amin
and Lovibond 1997; de Jong et al. 1995; Hermann, Ofer, and Flow 2004; Lerner and Keltner
2001; Li et al. 2012; Pauli, Wiedemann, and Montoya 1998; Tomarken, Mineka, and Cook 1989;
Tomarken, Sutton, and Mineka, 1995). This overestimation of aversive future events has been
documented for a wide range of outcomes, from anticipating how frequently threatening stimuli
will appear on a computer screen (Tomarken et al. 1989) to estimating the likelihood of negative
events occurring over the course of one’s lifetime (Lerner and Keltner 2001).
In addition to biasing appraisals of the future, fear also influences attention and memory
in the present. Temporally, a person concerned with fear becomes focused on overcoming the
present threat, and concerns about the past or future temporarily vanish (Tooby and Cosmides
2008; Langer, Wapner, and Werner 1961). This shift toward the present is also associated with
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“tunnel vision” and situational vigilance, an intense focus on the source of the threat and
situational strategies for escaping the threat (Blanchard et al. 2011, Blanchard and Blanchard
1989; Izard and Youngstrom 1996). Enhanced situational vigilance helps threatened individuals
take into account important characteristics of the threat (e.g., type and location), and the situation
(e.g., presence of an escape route or hiding place), and use these inputs to determine which
defense will be best (Blanchard et al. 2011; Phelps and LeDoux 2005). One consequence of this
tunnel vision is that a person’s subjective sense of time seems to slow down; participants
exposed to pictures of threatening faces overestimate the amount of time the faces were
displayed to them (Gil and Droit-Volet 2012; Tipples 2008). Moreover, owing to the increased
importance of attending to and tracking potential threats, people concerned with fear, relative to
other emotions, show enhanced memory for people or objects in their immediate environment
(Becker 2009; Phelps et al. 2006).
In addition to affecting cognitive processes, fear also has a number of behavioral
consequences. Complementing enhanced situational vigilance, fear activates a “readiness for
reaction” that can be translated into a number of functional actions, such as fight, flight, freeze,
or seeking safety from others, depending on the unique circumstances associated with the current
threat (Blanchard 2011; Griskevicius et al. 2006; Griskevicius et al. 2009; Ohman and Mineka,
2000; Phelps and LeDoux 2005; White, et al. 2012). For instance, threats tend to elicit flight if an
escape route is available, freezing if a threat is ambiguous, or defensive attack as the distance
between threat and victim decreases DBlanchard et al. 2011).
Considering this coordinated suite of appraisals, perceptions, cognitions, and behaviors,
we propose that fear will affect consumer choice and deferral in several ways. First, past
research shows that fear leads people to have negative expectations for the future (Amin and
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Lovibond 1997; de Jong et al. 1995; Hermann et al. 2004; Lerner and Keltner 2001; Pauli et al.
1998; Tomarken et al. 1989; 1995). Thus, we suggest that fear-biased expectations about
negative future events will lead people to expect deferred options, outside of the current choice
set, to be riskier and to evaluate them more negatively. Second, fear activates a sort of “tunnel
vision” that leads people to focus on objects or events in their present environment (Tooby and
Cosmides 2000; Izard and Youngstrom 1996). In the context of consumer choice, that means that
people will increasingly focus on objects in the immediate choice set. Relative to deferred
options (i.e., options outside of the current choice set), these known products should be evaluated
to be safer and, in general, more positively. Further, for those concerned with fear, the chance to
make a choice among products in a current choice set may seem like a limited or scarce
opportunity—the future is unknown and people may not have the opportunity to make the same
choice again in the future. In line with past research, the perception that a product or choice is
limited may increase its attractiveness and desirability (Cialdini 1993). Finally, the increased
need to take action to escape the current threat may promote a desire to take action in the current
consumer context, in the form of selecting a product from the present choice set.
Overall, we suggest that the relationship between fear and choice will be mediated by two
processes. First, we predict that fear will negatively-bias perceptions of options outside of the
current choice set, and that these perceptions will reduce choice deferral. Second, we hypothesize
that fear will simultaneously positively-bias perceptions of known products within the current
choice set, and that such perceptions will also lead to reduced choice deferral. Formally, we
hypothesize:
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H1: Fear increases the likelihood of making a choice and reduces choice
deferral.
H2: The relationship between fear and choice deferral is mediated by (1)
increasingly negative attitudes toward products outside the immediate choice
set and (2) increasingly favorable attitudes toward known products in the
immediate choice set.
It is important to note that the predictions described above were generated when
considering a choice between a known product that is in an immediate choice set and a deferred
product outside of the choice set. Given the functional role of fear, it may be important to
consider how fear would affect choice if none of the products were in the immediate
environment. For instance, when consumers are making decisions for the future, all choice
options lie outside of the immediate environment. According to research outlined above, people
concerned with fear are likely to rate future events as riskier and more aversive (Amin and
Lovibond 1997; de Jong et al. 1995; Hermann et al. 2004; Lerner and Keltner 2001; Pauli et al.
1998; Tomarken et al. 1989; 1995). Likewise, though selecting a product in the current choice
set may satisfy a need to take action in response to threat, selecting a product from a future
choice set may not placate the same need for action. Therefore, when considering future choice
sets, people concerned with fear may evaluate all choice options more negatively. If so, fear
should not increase consumer choice for future choice sets. In fact, if all future choices are
evaluated more negatively, fear may reduce choice. Thus, because fear focuses attention and
increases readiness for action specifically in the current environment, an important boundary
condition on the relationship between fear and deferral is whether the choice involves products in
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the immediate environment or choices of products for the future. More specifically, we
hypothesize:
H3: The relationship between fear and choice deferral will hold for
decisions involving choice between products in the present environment, but
not for decisions involving products in the future.
Summary and Experimental Overview
Considering the potential relationship between fear and choice from different theoretical
perspectives yields different predictions. The valence-based approach suggests that fear, along
with other negative emotions, should reduce choice. The Appraisal-Tendency Framework
predicts that emotions associated with uncertainty appraisals, such as fear and hope, should
reduce choice, but that emotions associated with certainty, such as disgust and pride, should
increase choice. Finally, the functional approach predicts incidental fear should increase
consumer choice and reduce deferral when decisions involve present choice sets.
In a series of five experiments we test this functional approach and consider the
alternative hypotheses suggested by the valence-based perspective and Appraisal-Tendency
Framework. In Experiment 1, we investigate how fear and disgust affect the choice to select a
product now or defer choice. In Experiment 2, we expand our investigation to compare fear with
four other emotions that vary along different appraisal dimensions (disgust, sadness, hope,
pride). In Experiment 3, we explore a boundary condition on the relationship between fear and
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consumer choice by examining choices framed as occurring immediately or in the future.
Finally, in experiments 4a and 4b, we test the proposed mediators of the relationship between
fear and choice—increasingly negative attitudes toward options outside of the immediate choice
set and increasingly positive attitudes toward products within the choice set.
EXPERIMENT 1
In Experiment 1 we sought to test between the competing predictions generated by the
valence-based perspective, Appraisal-Tendency Framework, and functional approaches. To do
so, participants were randomly assigned to one of three emotion conditions (fear, disgust, or a
neutral control) and later made a series of decisions in which they could select among several
products or defer choice. Each perspective generates a different set of hypotheses about how
fear and disgust will influence consumer choice. From a valence-based perspective, both
negative emotions should decrease choice. The Appraisal-Tendency Framework predicts that
fear and disgust will have opposite effects on choice—fear, an emotion associated with
uncertainty, should reduce choice, but disgust, an emotion associated with certainty, should
increase choice. Finally, the functional perspective posits that fear will increase choice because
in threatening circumstances you may not have the opportunity to make the same choice again:
the future is uncertain and the focus is specifically on the present environment in which
immediate action is necessary. The functional approach does not predict that disgust will affect
choice—it is unclear how choosing now or deferring relate to the adaptive functionality of
disgust (to avoid contamination and disease).
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Method
Participants. One hundred twenty-seven participants (44 male, 72 female, 9 not provided;
Mage = 33.03) were recruited from the Amazon Mechanical Turk website and paid a small
monetary compensation to complete the study.
Design and procedure. Participants were told they would participate in two separate
studies. In the first study participants were told that they would read a short story (which served
as our experimental manipulation) and later be asked to recall specific details of the story. The
second study was ostensibly on decision-making (actually our dependent variable).
Emotion Manipulation. In the first part of the study, participants were randomly assigned
to read one of three guided visualization stories. The disgust story described a person
volunteering at a geriatric ward who encountered a number of disgusting events—a sickly person
sneezing on him/her, another sickly person with an open wound, and a hair in his/her lunch. The
fear story described a person, home alone during a stormy night, who realizes there is an intruder
in his/her house. The neutral control story described a person organizing his/her office. These
stories have been used in past research on emotion and decision-making and have been shown to
uniquely activate their intended emotional states (Griskevicius et al. 2009; White et al. 2012;
White, Kenrick, and Neuberg 2013).
Dependent Measure. Following the emotion manipulation, participants were told that
they would complete several decision-making tasks for a separate study. The dependent measure
was a modified version of the choice deferral task created by Gunasti and Ross Jr. (2008).
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Specifically, participants were presented with a series of eight choice sets—each displaying five
products that varied along three evaluation dimensions (see Appendix A). Each choice set
presented a different type of product evaluated along various dimensions. For example, in one
choice set, participants were presented with watches that were evaluated on “precision,”
“physical appearance,” and “durability.” In another, participants were shown toasters evaluated
on “quality,” “manufacturer’s warrantee,” and “physical appearance.” In each choice set, three
of the products (labeled A, B, and C) displayed evaluation information for all three dimensions,
but two of the products (labeled D and E) displayed no evaluation information along any of the
dimensions. Participants could select a product from the choice set, by indicating whether they
preferred product A, B, or C, or select one of two deferred options outside of the choice set, by
either indicating “I would wait to get more information about options D and E,” or “I would go
to a different store—that might have a better selection.” Responses were coded such that
participants received a score of “1” every time they made a choice and a score of “0” each time
they selected one of the deferral options. Responses were aggregated across the eight choice sets
and could range from 0 (always deferred) to 8 (always chose).
Results and Discussion
A one-way ANOVA revealed a significant effect of the emotion condition on choice
( F (2,124) = 5.76, p = .004, partial !2 = .085, see Figure 1). Follow-up analyses showed that
those in the fear condition ( M = 5.67) chose more and deferred less than those in the disgust ( M
= 4.02, F (1,124) = 10.78, p = .001) and control conditions ( M = 4.48, F (1,124) = 5.48, p =
.021). Choice did not differ between the disgust and control conditions (F < 1.0, p > .30).
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##
____________________
Insert Figure 1 about here
____________________
Experiment 1 tested alternative predictions generated by three distinct theoretical
approaches to emotion. The valence-based perspective suggested that both fear and disgust
would decrease choice. The Appraisal-Tendency Framework suggested that fear would decrease
choice, but that disgust would increase choice. Relying upon a functional perspective, we
posited that fear would increase choice, but that disgust would not. As a whole, the findings of
experiment 1 are in line with the predictions generated by the functional perspective.
Participants in the fear condition chose more and deferred less than those in the disgust and
control conditions.
EXPERIMENT 2
Although the findings of Experiment 1 support the predictions generated by the
functional approach, the observed effects may have been driven by some other aspect of fear,
rather than its adaptive functionality. For instance, fear is associated with several different
appraisal dimensions and, according to other theories, one of these underlying dimensions
(uncertainty, situational control, attention, negative valence) could lead to the observed reduction
in deferral. Therefore, in Experiment 2 we compared fear to emotions associated with similar
appraisals of uncertainty (hope, sadness), situational control (sadness), attention (pride), and
valence (disgust, sadness). If the effects observed in the first experiment were caused by one of
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#=
conditions (fear, disgust, sadness, pride, hope, and a neutral control). For example, photos in the
fear condition displayed images of a shark attack, a person clinging to the side of a mountain,
and a man with a gun pointed toward the person viewing the picture.
To ensure that the pictures activated the intended emotions, we conducted a separate pre-
test in which we showed a group of 32 participants (15 male, 17 female; Mage = 35.44) all of the
photos and asked them to rate the extent to which each photo made them feel fear, disgust,
sadness, pride, and hope on a scale from 0 = “not at all” to 8 = “more strongly than ever.”
Results confirmed that each of the photos activated the intended emotions: the fear photos (M fear
= 7.01) elicited more fear than any of the other photos (Mothers range from 1.11 to 3.84; ps <
.001), the disgust photos (Mdisgust = 7.76) elicited more disgust than any of the other photos
(Mothers range from 1.07 to 3.38; ps < .001), the sadness photos (Msadness = 6.68) elicited more
sadness than any of the other photos (Mothers range from 1.18 to 3.69; ps < .001), the pride photos
(M pride = 5.80) elicited more pride than any of the other photos (Mothers range from 1.07 to 4.00;
ps < .001), and the hope photos (Mhope = 6.53) elicited more hope than any of the other photos
(Mothers range from 1.28 to 4.89; ps < .001).
Results and Discussion
A planned-contrast comparing fear to all other emotion conditions revealed a significant
main effect of emotion on choice ( F (1,225) = 10.526, p = .002, partial !2 = .044, see figure 2).
Follow-up analyses showed that participants in the fear condition ( M = 5.86) chose significantly
more and deferred less than those in all other conditions (disgust: M = 4.35, F = 2.42, p = .017;
sadness: M = 4.39, F = 2.32, p = .021; pride: M = 4.25, F = 2.68, p = .008; hope: M = 4.32, F =
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#>
2.45, p = .014; no emotion: M = 4.09, F = 2.78, p = .006). There were no significant differences
between any of the other emotion conditions (Fs < .5, ps > .60).
Experiment 2 extended the findings of the first study in two important ways. First, it
replicated the findings of Experiment 1 using a different experimental manipulation of emotion.
Second, it demonstrated that fear uniquely affects choice deferral. Emotions known to activate
similar appraisals of uncertainty (hope, sadness), situational control (sadness), attention (pride),
and negative valence (disgust, sadness) did not reduce deferral in the same way.
____________________
Insert Figure 2 about here ____________________
EXPERIMENT 3
Experiments 1 and 2 showed that people concerned with fear increasingly choose known
products in the current choice set, rather than deferring choice. In Experiment 3 we consider a
potential boundary condition on the relationship between fear and consumer choice. In our
previous experiments, we suggested that fear increases consumer choice because fear negatively-
biases expectations about options outside of the choice set, and, in life-threatening
circumstances, it may seem risky to defer choice. This thinking fits with past research showing
that fear negatively-biases expectations about unknown events and events that occur in the future
(Amin and Lovibond 1997; de Jong et al. 1995; Hermann et al. 2004; Lerner and Keltner 2001;
Pauli et al. 1998; Tomarken et al. 1989; 1995). Because fear shifts focus to the present
environment and increases the uncertainty associated with unknown events, it seems likely that
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#?
the increased choice observed in Experiments 1 and 2 may not hold if all choices are outside of
the choice set, or if all choices occur in the future—under these conditions, fear should
negatively-bias expectations about all choices. Therefore, one possibility is that the relationship
between fear and choice will hold when people consider choices in the present, but not when
they make choices for the future. To test this possibility, in Experiment 3 we manipulated both
emotion and the decision time frame and assessed consumer choice.
Experiment 3 also builds on our earlier studies by further testing between predictions
generated by the functional approach and the Appraisal-Tendency Framework. Specifically,
rather than activating an emotion associated with uncertainty, Experiment 3 directly activated
appraisals of uncertainty in order to show that uncertainty alone, apart from the other functional
responses associated with fear, does not increase choice. To this end we predicted that fear, but
not general uncertainty, would increase choice and reduce deferral for present choice sets.
Method
Participants. Two hundred fifty-eight participants (111 male, 142 female, 5 not provided
Mage = 34.24) were recruited from the Amazon Mechanical Turk website and paid a small
monetary compensation to complete the study.
Design and procedure. Experiment 3 was a 3 (story: fear, uncertainty, control) X 2 (time
frame: present vs. future) between-subjects ANOVA. Participants were randomly assigned to
read one of three stories—fear, general uncertainty, or control. The fear and control stories were
the same as those used in experiment 1. The general uncertainty story described a person
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#@
searching their house for a lost set of keys. This manipulation has been used in past research and
has been shown to arouse feelings of uncertainty and unpredictability (Griskevicius et al. 2011).
Before answering the choice questions, participants in the future time frame condition were
instructed, “We are also interested in how people make decisions in preparing for the future. As
you are responding to these questions, please imagine yourself facing this decision in 3 months
time.” Each choice question was also framed in terms of the future, “If you were faced with this
choice set in 3 months time, which option would you choose?” Participants in the present time
frame condition were not given instructions about preparing for the future and were simply
asked, “If you were faced with this choice set now, which option would you choose?”
Participants completed a modified version of our previous deferral dependent variable.
In it, participants were presented with a series of three choice sets—each displaying three
products that varied along three evaluation dimensions (see Appendix B). Each choice set
presented a different type of product (health clubs, wireless services, and laptop computers) and
varied the evaluation dimensions that were displayed. For instance, participants viewed three
health clubs that were evaluated on “membership fee,” “variety of exercise machines,” and
“commute time to health club.” To increase the likelihood that participants would defer choice,
some information was missing for each product, so that no product received ratings on all three
dimensions. Participants were asked which product they would select and could indicate a
choice, by selecting a specific product, A, B, or C, or defer choice by selecting “none of these.”
Responses were coded such that participants received a score of “1” each time they made a
choice and a score of “0” each time they deferred choice. Responses were aggregated across the
three choice sets and could range from 0 (always deferred) to 3 (always chose).
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#B
EXPERIMENT 4A
In Experiments 1-3 we observed a relationship between fear and consumer choice. In
Experiments 4A and 4B we sought to understand the psychological mechanism driving this
effect. As described earlier, we believe fear affects choice because people concerned with fear
are (1) increasingly biased to view options outside of the choice set as riskier and to evaluate
them more negatively and (2) by contrast, they are increasingly likely to view known products in
the immediate choice set more positively. To test these predictions, in Experiment 4A we
examined how fear affects ratings of deferred options outside of the immediate choice set; in
Experiment 4B, we investigated how fear influences ratings of products inside the choice set.
Finally, to further demonstrate the unique relationship between fear and choice, in Experiment
4A, we again compared the effects of activating fear to those of activating more general
uncertainty.
Method
Participants. One hundred fifty-three participants (68 male, 71 female, 14 not provided
Mage = 34.87) were recruited form the Amazon Mechanical Turk website and paid a small
monetary compensation to complete the study.
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uncertainty and control conditions were not significantly different from one another (F < 1, p >
.55).
There was also a significant main effect of story manipulation on deferred product ratings
( F (2,150) = 3.16, p = .045, partial !2 = .040). Follow-up analyses showed that those in the fear
condition ( M = 3.46) expected the deferred products to be relatively worse than those in the
general uncertainty ( M = 3.71, F = 2.41, p = .017) and control conditions ( M = 3.65, F = 1.81, p
= .073). The general uncertainty and control conditions were not significantly different from one
another (F < 1.0, p > .55).
____________________
Insert Figure 4 about here ____________________
Mediation. Following Preacher and Hayes (2008), we examined whether changes in
product ratings mediated the relationship between fear and consumer choice. Analyses showed
the same significant pattern of results when conducting these analyses comparing fear to either
the general uncertainty or control conditions. Therefore, in the analyses reported below the
general uncertainty and control conditions were combined and compared to the fear condition.
We estimated the standard deviation of the indirect effect of our fear manipulation on choice for
5,000 bootstrapped samples. In this analysis the indirect effect was estimated to lie between .007
and .086 with 95% confidence (! = 0.040, SE = 0.021), demonstrating significant mediation.
That is, the fear manipulation altered participants’ perception of deferred products outside of the
choice set, which in turn, predicted choice.
EXPERIMENT 4B
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.55).
As predicted, there was also a significant main effect of emotion on likelihood to buy
products ( F (1,119) = 13.25, p < .001, partial !2 = .10). Follow-up analyses showed that those in
the fear condition ( M = 3.81) were significantly more willing to buy products than those in the
disgust condition ( M = 3.05, F = 3.68 p < .001) and control condition ( M = 3.27, F = 2.67, p =
.009). The disgust and control conditions were not significantly different from one another (F =
1.08, p > .25). Importantly, these results held both for the products participants ultimately
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We began this investigation by examining the role of discrete emotions in the decision to
choose now or defer. Considering this relationship from different theoretical perspectives
generated several alternative predicitons. From the valence-based perspective, incidental fear
and other negative emotions should reduce choice and increase deferral. According to the
Appraisal Tendency Framework, emotions associated with uncertainty, such as fear, hope, and
sadness, should increase deferral, but emotions associated with certainty, such as disgust and
pride, should reduce deferral. Finally, the functional evolutionary approach predicted that fear
should increase choice and reduce deferral, and that this relationship should be unique to fear. In
five experiments we found clear and consistent support for unique predictions made by the
functional evolutionary approach.
In Experiment 1, relative to a neutral condition, fear increased choice and reduced choice
deferral; disgust did not affect consumer choice. Experiment 2 replicated this finding, and
showed that emotions matching fear across a number of different appraisal dimensions (sadness,
hope, disgust, and pride) did not affect deferral. Experiment 3 documented an important
boundary condition on the relationship between fear and deferral: fear reduced deferral for
choices in the present, but did not affect deferral for choices occuring in the future. From the
functional perspective, this finding make senses—when facing life threatening conditions,
options outside of the immediate choice set may seem riskier and more uncertain. By contrast,
present choices are likely to be evaluated as safer, and more positive. When all choices exist in
the future, incidental fear may case all choices to be perceived more negatively, and people
should prefer to defer choice. In Experiment 4A we built on this thinking by showing that
increasingly negative evaluations of products outside of the choice set mediated the relationship
between fear and increased choice. In Experiment 4B we found that this relationship was also
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=C
outside of the immediate choice set to be riskier. Nevertheless, we believe it is still possible other
emotions may affect choice and deferral—under more limited and specific circumstances. For
example, in several studies we documented that disgust did not affect deferral. Yet, from a
functional perspective it may make sense for disgust to increase choice under some conditions,
and to reduce choice under others. Because disgust is linked to the motivation to avoid disease
threats, disgust may increase choice among products that would assist in this goal, such as
medicines or cleaning products. Alternatively, disgust may also reduce choice among products
associated with germs and disease, such as laxatives or foods near their expiration date (Morales
and Fitzsimons 2007). Considering these possibilities, we believe it may be beneficial for future
research to more carefully examine the relationship between discrete emotions and choice
deferral among specific product categories.
These findings also have several important managerial implications. As described at the
outset, “closing the sale” is perhaps the most important aspect of any consumer transaction.
Though research has documented a number of actions that firms can employ to close the sale,
less is known about how situational factors might increase choice. Our findings highlight the
role that fear can play in closing the sale. Throughout our studies, we showed that merely
inducing fear, often in circumstances unrelated to the actual consumer choice, can increase the
likelihood of making a choice and reduce deferral. Building on these findings, it is possible that
retailers could increase choice if they present fear-inducing images, such as those used in
Experiment 2, before the consumer has the opportunity to select a product. Indeed, past research
has already shown that subtle fear-inducing images, such as flames in the background of a
website, can influence consumer decision-making (Mandel and Johnson 2002). Relatedly, fear-
inducing marketing material near the checkout aisle (e.g., a magazine cover featuring a
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=!
catastrophic event, national tragedy, or a scary movie) may increase consumers’ willingness to
buy now rather than later. As evidenced in Experiment 3, however, it is important for marketers
to understand that these effects hold for choices in the present, and are less likely to occur for
choices in the future.
CONCLUSION
We began this investigation by questioning the role of affect in consumer choice deferral.
Considering this relationship from three diverse theoretical perspectives generated a series of
alternative hypotheses. Testing among these predictions, we found consistent support for the
functional evolutionary approach. Specifically, we documented that: (1) fear increases choice
and reduces deferral, (2) this relationship holds for choices in the present, but not for choices in
the future, (3) the link between fear and choice is mediated by increasingly negative perceptions
of unknown products, (4) this link is also mediated by increasingly positive evaluations of
known products within the present choice set, and (5) other discrete emotions do not affect
general tendencies to defer in the same way. Taken together, these results show how a fleeting
situational factor, such as the temporary activation of the emotion of fear, can help marketers
increase the likelihood that consumers make a choice and thereby “close the sale.”
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=#
APPENDIX A
EXPERIMENT 1 CHOICE TASK
APPENDIX B
EXPERIMENT 3 CHOICE TASK
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=<
REFERENCES
Amin, Jeffery M. and Peter F. Lovibond (1997), “Dissociations between Covariation Bias and
Expectancy Bias for Fear-relevant Stimuli,” Cognition and Emotion, 11, 3 (August) 273-
289.
Bartels, Daniel M. and Oleg Urminsky (2011), “On Intertemporal Selfishness: How the
Perceived Instability of Identity Underlies Impatient Consumption,” Journal of Consumer
Research, 38 (June) 182-198.
Beck, Kenneth H. (1984), “The Effects of Risk Probability, Outcome Severity, Efficacy of
Protection and Access to Protection on Decision Making: A Further Test of Protection
Motivation Theory,” Social Behavior and Personality, 12 (2), 121–25.
Becker, Mark W. (2009), “Panic Search: Fear Produces Efficient Visual Search for
Nonthreatening Objects,” Psychological Science, 20(4), 435-437.
Blanchard, Robert J. and D. Caroline Blanchard (1989), “Anti-predator defensive behaviors in a
visible burrow system,” Journal of Comparative Psychology, 103, 70–82.
Blanchard, D. Caroline, Guy Griebel, Roger Pobbe, and Robert J. Blanchard (2011), “Risk
assessment as an evolved threat detection and analysis process,” Neuroscience and
Biobehavioral Reviews, 35, 991-998.
Block, Lauren G. (2005), “Self-Referenced Fear and Guilt Appeals: The Moderating Role of
Self-Construal,” Journal of Applied Social Psychology, 35, 11, 2290-2309.
Block, Lauren G. and Patti Williams (2002), “Undoing the effects of seizing and freezing:
Decreasing defensive processing of personally relevant messages,” Journal of Applied
Social Psychology, 32(4), 803-833.
-
8/17/2019 Apocalypse Now March 2014
44/58
==
Boles, James S., Barry J. Babin, Thomas G. Brashear, and Charles Brooks (2001), “An
Examination Of The Relationships Between Retail Work Environments, Salesperson
Selling Orientation-Customer Orientation And Job Performance,” Journal of Marketing
Theory and Practice, 9(3), 1-13.
Boster, Franklin J. and Paul Mongeau (1984), “Fear-Arousing Persuasive Messages,” in
Communication Yearbook, Vol. 8, Robert N. Bostrom and Bruce H. Westley, eds.
Beverly Hills, CA: Sage Publications, 330–75.
Bracha, H. Stefan (2004), “Freeze, Flight, Fight, Fright, Faint: Adaptationist Perspectives on the
Acute Stress Response System,” CNS Spectrums, 9, 9 (September) 679-685.
Cialdini, Robert B. (1993), Influence: Science and Practice, New York: Harper Collins.
de Jong, P. J., H. Merckelbach, and A. Arntz (1995), “Covariation bias in phobic women: The
relationship between a priori expectancy, on-line expectancy, autonomic responding, and
a posteriori contingency judgment.,” Journal of Abnormal Psychology, 104(1), 55–62.
Dhar, Ravi (1997), “Consumer Preference for a No-Choice Option,” Journal of Consumer
Research, 24, 2 (September), 215-231.
Dhar, Ravi and Stephen M. Nowlis (1999), “The Effect of Time Pressure on Consumer Choice
Deferral,” Journal of Consumer Research, 25, 4 (March), 369-384.
Dhar, Ravi and Stephen M. Nowlis (2004), “The Buy or Not to Buy: Response Mode Effects on
Consumer Choice,” Journal of Marketing Research, 41, 4 (November) 423-432.
Dhar, Ravi and Itamar Simonson (2003), “The Effect of Forced Choice on Choice,” Journal of
Marketing Research, 40, 2 (May), 146-160.
Durante, Kristina M., Vladas Griskevicius, Stephanie M. Cantu, and Jeffry A. Simpson (2013),
“Money, Status, and the Ovulatory Cycle”, Journal of Marketing Research, forthcoming.
-
8/17/2019 Apocalypse Now March 2014
45/58
=>
Durante, Kristina M., Vladas Griskevicius, Sarah E. Hill, Carin Perilloux, and Norman P. Li
(2011), “Ovulation, Female Competition, and Product Choice: Hormonal Influences on
Consumer Behavior,” Journal of Consumer Research, 37 (6), 921- 934.
Ekman, Paul (1992), "An Argument for Basic Emotions," Cognition and Emotion, 6, 169-200.
Gardner, Meryl Paula and Frederick O. Wilhelm Jr. (1987). "Consumer Responses to Ads with
Positive vs. Negative Appeals: Some Mediating Effects of Content-Induced Mood and
Congruency between Context and Ad," Current Issues and Research in Advertising, 10
(1), 81-98.
Gil, Sandrine and Sylvie Droit-Volet (2012), “Emotional time distortions: The fundamental role
of arousal,” Cognition & Emotion, 26(5), 847-862.
Goldberg, Marvin E. and Gerald J. Gorn (1987), "Happy and Sad TV Programs: How They
Affect Reactions to Commercials," Journal of Consumer Research, 14 (December), 387-
403.
Gorn, Gerald J., Marvin E. Goldberg, and Kunal Basu (1993), "Mood, Awareness and Product
Evaluation," Journal of Consumer Psychology, 2, 237-56.
Griskevicius, Viadas, Noah J. Goldstein, Chad R. Mortensen, Robert B. Cialdini, and Douglas T.
Kenrick (2006), "Going Along versus Going Alone: When Fundamental Motives
Facilitate Strategic (Non)Conformity," Journal of Personality and Social Psychology, 91,
2i\-94.
Griskevicius, Vladas, Noah J. Goldstein, Chad R. Mortensen, Jill M. Sundie, Robert B. Cialdini,
and Douglas T. Kenrick (2009), “Fear and Loving in Las Vegas: Evolution, Emotion, and
Persuasion,” Journal of Marketing Research, 46 (June), 384-395.
-
8/17/2019 Apocalypse Now March 2014
46/58
=?
Griskevicius, Vladas, Michelle N. Shiota and Stephen M. Nowlis (2010), “The Many Shades of
Rose-Colored Glasses: An Evolutionary Approach to the Influence of Different Positive
Emotions,” Journal of Marketing Research, 37 (August), 238-250.
Griskevicius, Vladas, Joshua M. Tybur, Andrew W. Delton, and Theresa E. Robertson (2011),
“Environmental Contingency in Life History Strategies: Influence of Mortality and
Socioeconomic Status on Risk and Time Preferences,” Journal of Personality and Social
Psychology, 100(2), 241-254.
Gunasti, Kunter and William T. Ross Jr. (2008), “How Inferences about Missing Attributes
Decrease the Tendency to Defer Choice and Increase Purchase Probability,” Journal of
Consumer Research, 35 (February), 823-836.
Han, Seunghee, Jennifer S. Lerner, and Dacher Keltner (2007), “Feelings and Consumer
Decision Making: The Appraisal-Tendency Framework,” Journal of Consumer
Psychology, 17(3), 158-168.
Hawes, Jon M., James T. Strong, and Bernard S. Winick (1996), “Do Closing Techniques
Diminish Prospect Trust?,” Industrial Marketing Management, 25, 349-360.
Hermann, C., J. Ofer, and H. Flow (2004), “Covariation bias for ambiguous social stimuli in
generalized social phobia,” Journal of Abnormal Psychology, 113, 646–653.
Hornik, Robert, Lela Jacobson, Robert Orwin, Andrea Piesse, and Graham Kalton (2008),
“Effects of the National Youth Anti- Drug Media Campaign on Youths,” American
Journal of Public Health, 98 (December), 2229–36.
Izard, Carroll E. and Eric A. Youngstrom (1996), “The Activation and Regulation of Fear and
Anxiety,” in D. A. Hope (Ed), Perspectives on Anxiety, Panic and Fear: The 43rd Annual
Nebraska Symposium on Motivation, Lincoln, NE: University of Nebraska Press.
-
8/17/2019 Apocalypse Now March 2014
47/58
=@
Janis, Irving L. and Seymour Feshbach (1953), “Effects of Fear-Arousing Communications,”
Journal of Abnormal Social Psychology, 48 (1), 78–92.
Keller, Punam A. (1999), “Converting the Unconverted: The Effect of Inclination and
Opportunity to Discount Health- Related Fear Appeals,” Journal of Applied Psychology,
84 (3),
Keller, Punam Anand, and Lauren G. Block (1996), “Increasing the Persuasiveness of Fear
Appeals: The Effect of Arousal and Elaboration,” Journal of Consumer Research, 22
(March), 448-459.
Keller, Punam Anand, and Donald R. Lehmann (2008), “Designing Effective Health
Communications: A Meta-Analysis,” Journal of Public Policy & Marketing , 27(2), 117-
130.
Kenrick, Douglas T., Vladas Griskevicius, Steven L. Neuberg, and Mark Schaller (2010),
“Renovating the Pyramid of Needs: Contemporary Extensions Built Upon Ancient
Foundations,” Perspectives on Psychological Science, 5(3), 292-314.
Kenrick, Douglas T., Gad Saad, and Vladas Griskevicius (2013), “Evolutionary Consumer
Psychology: Ask Not What You Can Do For Biology, But…,” Journal of Consumer
Psychology, 23(3), 404-409.
Kenrick, Douglas T. and Michelle N. Shiota (2008), "Approach and Avoidance Motivation(s):
An Evolutionary Perspective," in Handbook of Approach and Avoidance Motivation, ed.
Andrew J. Elliot, New York: Psychology Press, 271-85.
Langer, Jonas, Seymour Wapner, and Heinz Werner (1961), “The Effect of Danger upon the
Experience of Time,” The American Journal of Psychology, 74 (March), 94-97.
-
8/17/2019 Apocalypse Now March 2014
48/58
=A
Lazarus, Richard S. (1991), “Progress on a Cognitive-Motivational-Relational Theory of
Emotion,” American Psychologist , 46, 8 (August), 819-843.
Lerner, Jennifer S. and Dächer Keltner (2000), "Beyond Valence: Toward a Model of Emotion-
Specific Influences on Judgment and Choice," Cognition and Emotion, 14, 473-93.
Lerner, Jennifer S. and Dacher Keltner (2001), “Fear, Anger, and Risk,” Journal of Personality
and Social Psychology, 81, 1, 146-159.
Li, Yexin Jessica, Douglas T. Kenrick, Vladas Griskevicius, and Steven L. Neuberg, (2012),
“Economic decision biases and fundamental motivations: How mating and self-protection
alter loss aversion,” Journal of Personality and Social Psychology, 102, 550–561.
Luce, Mary Frances (1998), “Coping with Negatively Motion-Laden Consumer Decisions,
Journal of Consumer Research, 24 (March), 409-433.
Mandel, Naomi and Eric J. Johnson (2002), “When Web Pages Influence Choice: Effects of
Visual Primes on Experts and Novices,” Journal of Consumer Research, 29(2), 235-245.
Moe, Wendy W. and Peter S. Fader (2004), “Dynamic Conversion Behavior at E-Commerce
Sites,” Management Science, 50(3), 326-335.
Moe, Wendy W. and Peter S. Fader (2009), “The Role of Price Tiers in Advance Purchasing of
Event Tickets,” Journal of Service Research, 12(1), 73-86.
Mongeau, Paul A. (1998), “Another Look at Fear-Arousing Mes- sages,” in Persuasion:
Advances Through Meta-Analysis, Mike Allen and Raymond W. Preiss, eds. Kresskill,
NJ: Hampton Press, 53–68.
Morales, Andrea C. and Gavan J. Fitzsimons (2007), “Product Contagion: Changing Consumer
Evaluations Through Physical Contact with ‘Disgusting’ Products,” Journal of Marketing
Research, 44(May), pp. 272-283.
-
8/17/2019 Apocalypse Now March 2014
49/58
=B
Morales, Andrea C., Eugenia C. Wu, and Gavan J. Fitzsimons (2012), “How Disgust Enhances
the Effectiveness of Fear Appeals,” Journal of Marketing Research, 49 (June) 383-393.
Mortensen, Chad R., D. Vaughn Becker, Joshua M. Ackerman, Steven L. Neuberg, and Douglas
T. Kenrick (2010), “Infection breeds reticence: The effects of disease salience on self-
perceptions of personality and behavioral avoidance tendencies,” Psychological Science,
21, 440 – 447.
Murry, John P. Jr., and Peter A. Dacin (1996), "Cognitive Moderators of Negative-Emotion
Effects: Implications for Understanding Media Context," Journal of Consumer Research,
22, 439-47.
Novemsky, Nathan, Ravi Dhar, Norbert Schwarz, and Itamar Simonson (2007), “Preference
Fluency in Choice,” Journal of Marketing Research, 44, 3 (August), 347-356.
Oakes, G. (1990), “The Sales Process and the Paradoxes of Trust,” Journal of Business Ethnics,
9(8), 671-679.
Ohman, Arne and Susan Mineka “Fears, Phobias, and Preparedness: Toward an Evolved Module
of Fear and Fear Learning,” Psychological Review, 108, 3, 483-522.
Parker, Jeffrey R. and Rom Y. Schrift (2011), “Rejectable Choice Sets: How Seemingly
Irrelevant No-Choice Options Affect Consumer Decision Processes,” Journal of
Marketing Research, 48 (October) 840-854.
Pauli, Paul, George Wiedemann, and Pedro Montoya (1998), “Conversation Bias in Flight
Phobics,” Journal of Anxiety Disorder , 12, 6, 555-565.
Pham, Michel Tuan (1998), “Representativeness, Relevance, and the Use of Feelings in Decision
Making,” Journal of Consumer Research, 25 (September), 144-59.
-
8/17/2019 Apocalypse Now March 2014
50/58
>C
Phelps, Elizabeth A., and Joseph E. LeDoux (2005), “Contributions of the amygdala to emotion
processing: From animal models to human behavior,” Neuronscience, 48, 175–187.
Phelps, Elizabeth A. S. Ling, and M. Carrasco (2006), “Emotion facilitates perception and
potentiates the perceptual benefits of attention,” Psychological Science, 17, 292–299.
Preacher, Kristopher J. and Andrew F. Hayes (2008), “Contemporary approaches to assessing
mediation in communication research,” In A. F. Hayes, M. D. Slater, & L. B. Snyder
(Eds.), The Sage sourcebook of advanced data analysis methods for communication
research (pp. 13–54). Thousand Oaks, CA: Sage.
Rogers, Ronald W. (1983), “Cognitive and Physiological Processes in Fear Appeals and Attitude
Change: A Revised Theory of Protection Motivation,” in Social Psychophysiology, John
T. Cacioppo and Richard Petty, eds. New York: Guilford Press, 153–76.
Rogers, Ronald W. and C. Ronald Mewborn (1976), “Fear Appeals and Atti- tude Change:
Effects of a Threat’s Noxiousness, Probability of Occurrence, and the Efficacy of the
Coping Responses,” Journal of Personality and Social Psychology, 34, 54-61.
Rozin, Paul and April E. Fallon (1987), “A Perspective on Disgust,” Psychological Review,
94(1), 23-41.
Saad, Gad (2007), The Evolutionary Bases of Consumption. Mahwah, NJ: Lawrence Erlbaum
Associates.
Saad, Gad (2011). The Consuming Instinct: What Juicy Burgers, Ferraris, Pornography, and
Gift Giving Reveal About Human Nature. Amherst, NY: Prometheus Books.
Saad, Gad and Tripat Gill (2000), “Applications of Evolutionary Psychology in Marketing,”
Psychology & Marketing , 17 (12), 1005-1034.
-
8/17/2019 Apocalypse Now March 2014
51/58
>!
Schaller, Mark and Damien R. Murray (2008), “Pathogens, personality, and culture: Disease
prevalence predicts worldwide variability in sociosexuality, extraversion, and openness to
experience,” Journal of Personality and Social Psychology, 95, 212–221.
Smith, Craig A. and Phoebe C. Ellsworth (1985), "Patterns of Cognitive Appraisal in Emotion,"
Journal of Personality and Social Psychology, 48, 813-38.
Stainback, Robert and Ronald W. Rogers (1983), “Identifying Effective Components of Alcohol
Abuse Prevention Programs: Effects of Fear Appeals, Message Style and Source
Expertise,” International Journal of Addictions, 18 (3), 393–405.
Sutton, Stephen R. (1982), “Fear-Arousing Communications: A Critical Examination of Theory
and Research,” in Social Psychology and Behavioral Medicine, J. Richard Eiser, ed.
London: John Wiley & Sons, 303–337.
Sundie, Jill M., Douglas T. Kenrick, Vladas Griskevicius, Joshua M. Tybur, Kathleen D. Vohs,
and Daniel J. Beal (2011), “Peacocks, Porsches, and Thorstein Veblen: Conspicuous
Consumption as a Sexual Signaling System,” Journal of Personality and Social
Psychology, 100(4), 66- 680.
Tiedens, Larissa Z. and Susan Linton (2001), “Judgment under Emotional Certainty and
Uncertainty: The Effects of Specific Emotions on Information Processing,” Journal of
Personality and Social Psychology, 81, 973-88.
Tipples, Jason (2011), “When time stands still: Fear-specific modulation of temporal bias due to
threat,” Emotion, 11, 74-80.
Tooby, John and Leda Cosmides (2008), “The Evolutionary Psychology of the Emotions and
Their Relationship to Internal Regulatory Variables,” In. John M. Lewis and Lisa F.
Barrett (Eds.), Handbook of Emotions, 114-137, NY: Guilford
-
8/17/2019 Apocalypse Now March 2014
52/58
>#
Tomarken, Andrew J., Steven K. Sutton, and Susan Mineka (1995) “Fear-Relevant Illusory
Correlations: What Types of Associations Promote Judgmental Bias?,” Journal of
Abnormal Psychology, 104, 2, 312-326.
Tomarken, Andrew J., Susan Mineka, and Michael Cook (1989), “Fear-Relevant Selective
Associations and Covariation Bias,” Journal of Abnormal Psychology, 98, 4, 381-394.
Townsend C. and Suzanne B. Shu (2010), “When and How Aesthetics Influences Financial
Decisions,” Journal of Consumer Psychology, 20(4), 452-458.
Townsend C. and Sanjay Sood (2012), “Self-Affirmation Through the Choice of Highly
Aesthetic Products,” Journal of Consumer Psychology, 39(2), 415-428.
Tversky, Amos and Eldar Shafir (1992), “Choice Under Conflict: The Dynamics of Deferred
Decision,” Psychological Science, 3(6), 358-361.
White, Andrew Edward, Douglas T. Kenrick, Yexin Jessica Li, Chad R. Mortensen, Steven L.
Neuberg, and Adam B. Cohen (2012), “When Nasty Breeds Nice: Threats of Violence
Amplify Agreeableness at National, Individual, and Situational Levels,” Journal of
Personality and Social Psychology, 103, 622-634.
White, Andrew Edward, Douglas T. Kenrick, and Steven L. Neuberg (2013), “Beauty at the
Ballot Box: Disease Threats Increase Preferences for Physically Attractive Leaders,”
Psychological Science, 24(12) 2429-2436.
White, Andrew Edward, Yexin Jessica Li, Vladas Griskevicius, Douglas T. Kenrick, and Steven
L. Neuberg (2013), “Putting All Your Eggs in One Basket: Life History Strategies, Bet
Hedging, and Economic Diversification,” Psychological Science, 24, 715-722.
Wilson, M. (1989), “Marital conflict and homicide in evolutionary perspective,” In R. W. Bell &
N. J. Bell (Eds.), Sociobiology and the social sciences (pp. 45–62).
-
8/17/2019 Apocalypse Now March 2014
53/58
><
Winterich, Karen P. and Kelly L. Haws (2011), “Helpful hopefulness: The effect of future
positive emotions on consumption,” Journal of Consumer Research, 38(3), 505-524.
Witte, Kim (1992), “Putting the Fear Back into Fear Appeals: The Extended Parallel Process
Model,” Communication Mono- graphs, 59 (December), 329–49.
Witte, Kim and Mike Allen (2000), “A Meta-Analysis of Fear Appeals: Implications for
Effective Public Health Campaigns,” Health Education and Behavior , 27, 5 (October)
591-615.
-
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54/58
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FIGURE 1
EXPERIMENT 1: THE EFFECT OF EMOTION ON NUMBER OF CONSUMER CHOICES
(VERSUS DEFERRAL)
Cell sizes ranged from 40 to 47 in each condition.
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FIGURE 2
EXPERIMENT 2: THE EFFECT OF EMOTION ON NUMBER OF CONSUMER CHOICES
(VERSUS DEFERRAL)
Cell sizes ranged from 36 to 39 in each condition.
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FIGURE 3
EXPERIMENT 3: THE EFFECT OF EMOTION AND TIME ON NUMBER OF CONSUMER
CHOICES (VS. DEFERRAL)
Cell sizes ranged from 43 to 53 in each condition.
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>@
FIGURE 4
EXPERIMENT 4A: THE EFFECT OF EMOTION MANIPULATION ON RATINGS OF
UNKNOWN PRODUCTS
Cell sizes ranged from 48 to 54 in each condition.
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>A
FIGURE 5
EXPERIMENT 4B: THE EFFECT OF EMOTION MANIPULATION ON WILLINGNESS TO
BUY KNOWN PRODUCTS
Cell sizes ranged from 39 to 42 in each condition.