<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Investigation of the Influence of Personality Traits on Cialdini's Persuasive Strategies</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Kiemute Oyibo</string-name>
          <email>kiemute.oyibo@usask.ca</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Rita Orji</string-name>
          <email>rita.orji@uwaterloo.ca</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Julita Vassileva</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>University of Saskatchewan</institution>
          ,
          <addr-line>Saskatoon</addr-line>
          ,
          <country country="CA">Canada</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>University of Waterloo</institution>
          ,
          <addr-line>Waterloo</addr-line>
          ,
          <country country="CA">Canada</country>
        </aff>
      </contrib-group>
      <fpage>8</fpage>
      <lpage>20</lpage>
      <abstract>
        <p>For persuasive strategies to be effective, research has shown, there is need for personalization. However, little has been done in persuasive technology research to investigate the influence of personality on persuasive strategies. In this paper, using a sample of 216 Canadians, we model the influence of the Big Five personality traits on Cialdini's six persuasive principles. Our results reveal that individuals: 1) high in Conscientiousness are more susceptible to Commitment and Reciprocity, but less susceptible to Liking; 2) high in Agreeableness are more susceptible to Authority, Commitment and Liking; 3) low in Openness are more susceptible to Authority, Consensus and Liking; and 4) high in Neuroticism are more susceptible to Consensus. These findings provide designers with insight into how persuasive apps can be tailored to different personality traits based on the Big Five model.</p>
      </abstract>
      <kwd-group>
        <kwd>persuasive strategies</kwd>
        <kwd>Cialdini's principles</kwd>
        <kwd>personality</kwd>
        <kwd>Big Five</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>
        Persuasive apps are becoming increasingly popular, with researchers and practitioners
making more efforts to find effective ways to persuade people to act in beneficial ways.
In the e-commerce domain, for example, vendors like Amazon and eBay are looking
for better ways to persuade online shoppers to buy more of their products and services.
In the health domain, e.g., physical activity, eating, smoking, etc., designers of
interventions are looking for better ways to help people adopt a healthier lifestyle [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]. In
recent years, research has shown that personalizing products and services can lead to
higher persuasion and user satisfaction [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]. Further, as cited in [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ], research in the field
of psychology has shown that two apparently similar individuals, who share similar
characteristics, such as gender, age, culture, etc., may behave differently in the same
situation due to differences in personality [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. However, in the persuasive technology
domain, a field which is still growing, limited studies have investigated the
relationships between personality traits and influence strategies [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ] for the purpose of designing
more effective behavior change apps. Alkış and Temizel [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ], who have worked on this
previously, focused on Turkish population only. This may not generalize to other
countries or cultures. This makes it important for further research to be conducted. In this
paper, we investigate the influence of personality traits on Cialdini’s six principles of
persuasion [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ], focusing on the Canadian population. We conducted an online survey
among 216 Canadian participants to determine the links between the Big Five
personality traits [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ] and Cialdini’s persuasive strategies [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]. We chose Cialdini’s principles
because they are universally established persuasive strategies, which have found wide
acceptance in persuasive technology research [
        <xref ref-type="bibr" rid="ref7 ref8 ref9">7–9</xref>
        ] and wide application in the fields
of advertising and marketing [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ] owing to their strong theoretical underpinning. On
the other hand, we chose the Big Five due to its wide acceptance, application and
empirical validity [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]. The Big Five is known as a comprehensive model, which is
applicable across individuals and cultures [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ]. Our results reveal that Conscientiousness,
Agreeableness and Openness are the most consistent predictors of Cialdini’s persuasive
strategies. Our findings provides designers better insight in designing more effective
persuasive apps for behavior change.
2
      </p>
    </sec>
    <sec id="sec-2">
      <title>Background</title>
      <p>This section provides an overview of Cialdini’s persuasion principles and the Big Five.
2.1</p>
      <sec id="sec-2-1">
        <title>Cialdini’s Principles of Persuasion</title>
        <p>
          The six principles of persuasion by Cialdini [
          <xref ref-type="bibr" rid="ref10">10</xref>
          ] have been widely used in the field of
marketing and persuasive technology. A brief overview of them is given as follows.
 Authority: People are more likely to listen to and obey those who are in positions
of authority than those who are not.
 Commitment: People are more likely to do something if they commit to doing it by
agreeing verbally or in written form.
 Consensus: People look up to those around them to inform their decision when they
are uncertain with respect to a certain course of action to take.
 Liking: People are more likely to agree with or do things when asked by the people
they like.
 Reciprocity: People have a tendency to pay back favors done to them.
 Scarcity: The rarer a product is, the more people want it. This means people are
more likely to desire or demand a product if they are told it is hard to get.
2.2
        </p>
      </sec>
      <sec id="sec-2-2">
        <title>The Big Five Personality Traits</title>
        <p>
          The Big Five personality traits have been shown by research to affect the level of
susceptibility of individuals to Cialdini’s principles of persuasion [
          <xref ref-type="bibr" rid="ref4">4</xref>
          ]. We provide a brief
overview of the five personality traits in this subsection.
 Openness: The tendency to be imaginative and creative. Those high in this trait tend
to be curious, adventurous and open to new experiences [
          <xref ref-type="bibr" rid="ref12">12</xref>
          ].
 Conscientiousness: The tendency of a person to be self-disciplined, well-organized
and goal-oriented. Those high in this trait tend to follow norms and rules and
prioritize tasks [
          <xref ref-type="bibr" rid="ref13">13</xref>
          ].
 Extraversion: The tendency of a person to associate with others. Those high in this
trait tend to be warm, assertive, and seek excitement and positive emotions [
          <xref ref-type="bibr" rid="ref12">12</xref>
          ].
 Agreeableness: The tendency of a person to be kind, altruistic and compliant. Those
high in this trait tend to be very compassionate, modest and friendly to others in
addition to being less competitive and outspoken [
          <xref ref-type="bibr" rid="ref2">2</xref>
          ].
 Neuroticism: The tendency of a person to be sad and nervous. Those high in this
trait tend to be anxious, emotionally unstable, unconfident and insecure. The
opposite of Neuroticism is known as Emotional Stability [
          <xref ref-type="bibr" rid="ref14 ref2">2, 14</xref>
          ].
3
        </p>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>Related Work</title>
      <p>
        Limited research has shown the link between personality and Cialdini’s persuasive
strategies [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. Halko and Kientz [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ] conducted a study in the health domain in this
area. Using correlation analysis, they found that: 1) the more conscientious a person is,
the less likely s/he is to use social applications which employ Cooperation and
Competition strategies; 2) the more agreeable a person is the more effective would
Reinforcement strategy be; and 3) the more open a person is to experience, the more likely for
him or her to welcome Extrinsic, Intrinsic and Negative Reinforcement strategies. With
respect to personality and Cialdini’s principles of persuasion, to the best of our
knowledge, only two prior studies (Alkış and Temizel [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ] and Sofia et al. [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ]) have
been conducted. Alkış and Temizel found that Agreeableness, Conscientiousness and
Openness are the strongest predictors of Cialdini’s six principles of persuasion. Sofia
et al. [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ] also found the same personality traits, including Neuroticism, as the strongest
predictors of the six persuasive principles. However, both studies focused on
collectivist cultures (Greece and Turkey) and used convenience samples. Our study differs from
these prior studies in three ways. First, our focus is on an individualist culture (Canada),
which is independent and concerned about personal goals and aspirations, as opposed
to the collectivist culture which is group-dependent and concerned about collective
goals and aspirations [
        <xref ref-type="bibr" rid="ref16">16</xref>
        ]. Second, our demographic is more heterogeneous, as we used
Amazon Mechanical Turk (AMT), in addition to email and the University of
Saskatchewan website, for the recruitment of participants, unlike the previous studies, which
recruited students only from their respective universities. Third, we aim to investigate
the generalizability of the prior findings by Alkış and Temizel [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]—whose study is
more similar to ours—from one demographic to another. Specifically, we investigate
whether the results based on the Turkish population can be replicated among the
Canadian population as well as the differences that exist between both demographics.
      </p>
    </sec>
    <sec id="sec-4">
      <title>Method</title>
      <p>In this section, we present our research question and hypotheses, the measurement
instruments, and the demographics of the survey participants.
4.1</p>
      <sec id="sec-4-1">
        <title>Research Question</title>
        <p>The aim of our study is to answer the research question: “How do the Big Five
personality traits influence the persuasiveness of Cialdini’s persuasive strategies among the
Canadian population?” Our hypotheses (see Fig. 1) are as follows:</p>
        <p>H1: Agreeableness and Conscientiousness positively influence Authority, while</p>
        <p>Openness and Neuroticism negatively influence Authority.</p>
        <p>H2: Agreeableness, Conscientiousness and Openness positively influence
Commitment.</p>
        <p>H3: Agreeableness and Neuroticism positively influence Consensus, while
Conscientiousness and Openness negatively influence Consensus.</p>
        <p>H4: Agreeableness and Extraversion positively influence Liking, while
Conscientiousness and Openness negatively influence Liking.</p>
        <p>H5: Agreeableness, Conscientiousness, Extraversion and Neuroticism positively
influence Reciprocation.</p>
        <p>
          H6: Conscientiousness, Extraversion and Neuroticism positively influence
Scarcity.
The above hypotheses are based mostly on the prior findings by Alkış and Temizel [
          <xref ref-type="bibr" rid="ref4">4</xref>
          ].
Those based on the findings of these authors are shown as regular lines in Fig. 1, while
the new ones we formulated are shown as bold lines. The solid and dashed arrows
represent positive and negative relationships respectively. The new relationships (bold
arrows) are briefly discussed. In H3, based on the findings by Lane and Manner [
          <xref ref-type="bibr" rid="ref17">17</xref>
          ] and
Moore and McElroy [
          <xref ref-type="bibr" rid="ref18">18</xref>
          ], we hypothesized that people high in Neuroticism and low in
Conscientiousness will be more responsive to Consensus. Regarding Neuroticism, Lane
and Manner [
          <xref ref-type="bibr" rid="ref17">17</xref>
          ] found that neurotic people are more likely to follow the crowd, e.g.,
getting addicted to texting and using the mobile phone, both of which have become the
norm in the age of mobile communication. Regarding Conscientiousness, Moore and
McElroy [
          <xref ref-type="bibr" rid="ref18">18</xref>
          ] found that highly conscientious people are less likely to post pictures on
their Facebook wall: an activity which has become the norm in the age of social
networks. Further, we hypothesized that people low in Neuroticism will be more
susceptible to Authority (see H1) because Karim et al. [
          <xref ref-type="bibr" rid="ref19">19</xref>
          ] found that students, who are high in
Neuroticism, are more likely to break university’s laws against unethical behaviors,
such as plagiarism (a defiance of authority). Finally, we hypothesized that people high
in Conscientiousness will be more responsive to Scarcity (see H6) because Sofia et al.
[
          <xref ref-type="bibr" rid="ref15">15</xref>
          ] found that Conscientiousness positively influences Scarcity.
4.2
        </p>
      </sec>
      <sec id="sec-4-2">
        <title>Measurement Instruments</title>
        <p>
          Prior validated scales were used to measure Cialdini’s persuasion principles and the
Big Five personality traits. The 27 validated items in Kaptein et al.’s [
          <xref ref-type="bibr" rid="ref7">7</xref>
          ] 32-item
Susceptibility to Persuasive Strategies (STPS) scale were used; the other five items, which
were not validated during the scale’s development process, were dropped. They include
Authority (4 items), Commitment (6 items), Consensus (4 items), Liking (3 items),
Reciprocity (6 items) and Scarcity (4 items). The STPS is a 7-point Likert scale, ranging
from Completely Disagree (1) to Completely Agree (7). It measures how susceptible
people are to Cialdini’s principles. Regarding personality, Gosling et al.’s Ten-Item
Personality Inventory (TIPI) scale was used to measure the Big Five, with two items
measuring each trait [
          <xref ref-type="bibr" rid="ref6">6</xref>
          ]. The TIPI uses a Likert scale, ranging from Disagree Strongly
(1) to Agree Strongly (7). All of the 27 items in the STPS scale were randomly presented
to participants at the beginning of the survey. Similarly, the TIPI scale items were
randomly presented to participants after responding to the STPS questions.
4.3
        </p>
      </sec>
      <sec id="sec-4-3">
        <title>Participants</title>
        <p>The survey was approved by the University of Saskatchewan (UofS) Research Ethics
Board. Participants were recruited by email, on the UofS website, Facebook and AMT.
Those on AMT were paid $0.8 each, while those on other platforms were given a chance
to win a C$50 gift card. About 310 subjects participated in the study. After cleaning,
we were left with 216 participants, whose country of origin is Canada for analysis. We
did this to have a monocultural population, which could be compared with the Turkish
population. Table 1 shows the participants’ demographics: 31.5% males and 65.3%
females. 32.9% were between the age of 18 and 24, while the other 77.1% were above.
About 35.2% were students at the time of the survey, while the other 64.8% were not.</p>
      </sec>
    </sec>
    <sec id="sec-5">
      <title>Results</title>
      <sec id="sec-5-1">
        <title>Measurement Model</title>
        <p>
          We began our analyses by assessing the indicator reliability, internal consistency
reliability, convergent validity and discriminant validity of the constructs in our
measurement models. A Partial Least Square Structural Equation Model (PLS-SEM) was built
using SmartPLS [
          <xref ref-type="bibr" rid="ref20">20</xref>
          ] for each persuasive strategy, with the personality traits being the
exogenous constructs. SmartPLS is a software tool for building path models. Indicator
Reliability: Indicators with an outer loading greater than 0.5 were retained; otherwise,
they were dropped. For Authority model, one item each was dropped from Openness,
Neuroticism and Authority; for Commitment model, one item each was dropped from
Openness and Extraversion; for Liking model, one item each was dropped from
Extraversion, Neuroticism and Liking; for Reciprocity model, one item each was dropped
from Openness, Agreeableness and Extraversion; and for Scarcity model, one item each
was dropped from Openness, Conscientiousness, Agreeableness and Scarcity. Internal
Consistency Reliability, for each construct, was evaluated using the composite
reliability criterion, which was greater than 0.7. Convergent Validity was evaluated using the
Average Variance Extracted, which was greater than 0.5 for each construct.
Discriminant Validity was evaluated using the crossloading criterion. No indicator loaded higher
on other constructs than the one it was meant to measure [
          <xref ref-type="bibr" rid="ref20">20</xref>
          ].
5.2
        </p>
      </sec>
      <sec id="sec-5-2">
        <title>Data-driven Partial Least Square Structural Equation Model</title>
        <p>
          For easy visualization of supported hypotheses and comparison of the significant
relationships across the persuasive strategies (see Fig. 2), we tabulated the path coefficients
from the PLS-SEM models (see Table 2). Overall 45% of our hypotheses (see the
grayed cells) are supported, while 55% of them are not supported (as indicated by
“NS”). The amount of variance of each strategy explained by its model (symbolized by
R2) ranges from 3% (Scarcity) to 15% (Liking). We found Conscientiousness,
Agreeableness and Openness are the most consistent predictors of Cialdini’s persuasive
strategies. For example, Conscientiousness is a predictor of three strategies: Commitment
(β = 0.17, p &lt; 0.05), Liking (β = -0.36, p &lt; 0.001) and Reciprocity (β = 0.25, p &lt; 0.001).
These path coefficients (ranging from 0.17 to 0.36) are relatively higher than the others.
This indicates Conscientiousness is the strongest predictor of Cialdini’s persuasive
strategies among the Canadians, followed by Agreeableness (a predictor of Authority,
Commitment and Liking) and Openness (a predictor of Authority, Consensus and
Liking). Lastly, Neuroticism turns out to be the least predictor of the persuasive strategies,
as it only predicts Consensus. It is noteworthy that none of the personality traits predicts
Scarcity among the Canadians. Though Conscientiousness and Neuroticism have
relatively high path coefficients (0.11 and 0.13 respectively), they are not significant.
We have shown that personality traits influence Cialdini’s persuasive strategies.
Overall, our results reveal that Conscientiousness, Agreeableness and Openness are the most
consistent predictors of Cialdini’s persuasive strategies, with Conscientiousness being
the strongest. As shown in Table 2, 45% of our hypotheses (10 out of 22 relationships)
were validated. Our first hypothesis (H1) is partially validated. We found that people
high in Agreeableness and low in Openness are more responsive to Authority.
However, our hypothesis that Conscientiousness and Neuroticism positively and negatively,
respectively, influence Authority are not supported. Our second hypothesis (H2) was
also partially supported. We found that people high in Agreeableness and
Conscientiousness are more responsive to Commitment. However, we could not find any
relationship between Openness and Commitment among the Canadian population.
Regarding our third hypothesis (H3), two of the four relationships were supported but one was
not, indicating H3 is partially supported. Specifically, we found that Canadians low in
Openness and high in Neuroticism are more susceptible to Consensus. However, we
did not find any relationship between Conscientiousness and Agreeableness, on one
hand, and Consensus, on the other hand. Further, three of the relationships in our fourth
hypothesis were supported, but one was not supported. We found that Canadians low
in Openness and Conscientiousness are more susceptible to Liking but we could not
validate that Extraversion influences Liking. Regarding our fifth hypothesis, only one
of the four relationships are validated: Canadians high in Conscientiousness are more
responsive to Reciprocity. Finally, our sixth hypothesis was completely invalidated.
We found no relationship between the personality traits Conscientiousness,
Extraversion and Neuroticism and the persuasive strategy Scarcity. This indicates it is more
difficult to predict Scarcity compared to other persuasive strategies among the
Canadian population. This is similar to the findings by Alkış and Temizel [
          <xref ref-type="bibr" rid="ref4">4</xref>
          ], where Scarcity
also turns out to be one of the least predictable in terms of the number of influencers
(two in number) and its amount of variance explained by its predictors. We discuss in
details the validated relationships in the next subsections.
6.1
        </p>
      </sec>
      <sec id="sec-5-3">
        <title>Influence of Openness on Authority, Consensus and Liking</title>
        <p>
          Our results reveal individuals low in Openness (LO) are more likely to be susceptible
to Authority and Consensus. In contrast, individuals high in Openness (HO) are less
likely to be susceptible to Authority because they are more independent-minded and
daring [
          <xref ref-type="bibr" rid="ref21">21</xref>
          ]; thus, they are more likely to challenge or disobey authority. Also, they are
less susceptible to Consensus because they are more creative, imaginative and more of
initiators than imitators [
          <xref ref-type="bibr" rid="ref22">22</xref>
          ]. They tend to do novel things rather than copy others or
follow the status quo. Palmer [
          <xref ref-type="bibr" rid="ref23">23</xref>
          ] classified the LO and HO individuals as adaptors
and innovators respectively. According to Palmar [
          <xref ref-type="bibr" rid="ref23">23</xref>
          ], adaptors are concerned about
“doing things better,” while innovators are concerned about “doing things differently.”
For example, with regard to information seeking, as cited in Heinström [
          <xref ref-type="bibr" rid="ref14">14</xref>
          ], given their
openness to new experiences, innovators tend to seek information more widely and
enthusiastically by using multiple sources. On the other hand, adaptors, given their
closeness, doubt their abilities and thus are more prone to conformity and vulnerable to
social pressure and authority. Regarding Liking, LO individuals are more likely to be
susceptible. As explained by Alkış and Temizel [
          <xref ref-type="bibr" rid="ref4">4</xref>
          ], closed individuals feel more
comfortable with familiar situations and experiences. As a result, in unfamiliar situations,
they are likely to seek the opinion of and trust those they like. In a nutshell, all three
findings (Openness negatively influencing Authority, Consensus and Liking) replicate
those of Alkış and Temizel [
          <xref ref-type="bibr" rid="ref4">4</xref>
          ], discussed in subsection 6.5.
        </p>
      </sec>
      <sec id="sec-5-4">
        <title>Influence of Conscientiousness on Commitment, Reciprocity and Liking</title>
        <p>
          Our results show that individuals who are high in Conscientiousness (HC) are more
likely to be susceptible to Commitment and Reciprocity, but are less susceptible to
Liking. Regarding Commitment and Reciprocity, HC individuals are more self-disciplined,
dependable and responsible [
          <xref ref-type="bibr" rid="ref24">24</xref>
          ]. As such, they have higher inclination to keep their
commitment and return favor [
          <xref ref-type="bibr" rid="ref4">4</xref>
          ]. For example, in organizations, Conscientiousness has
been shown to be one of the most consistent predictors of job performance (which is
highly correlated with organizational commitment) [
          <xref ref-type="bibr" rid="ref24">24</xref>
          ]. One possible explanation for
Conscientiousness negatively influencing Liking is that, given that individuals high in
Conscientiousness (HC) are more thoughtful, they are less likely to agree with or say
“yes” to a person just because they like the person. Thus, they may have more
“comprehensive” or “deeper” reasons for agreeing with or saying “yes” to a person than by
the “superficial” appearance or the “mere” liking of a person.
6.3
        </p>
      </sec>
      <sec id="sec-5-5">
        <title>Influence of Agreeableness on Authority, Commitment and Liking</title>
        <p>
          Agreeable people are known to be more compliant, straightforward and altruistic (i.e.,
sympathetic and willing to help others) [
          <xref ref-type="bibr" rid="ref21">21</xref>
          ]. Thus, as we found, they are more willing
to listen to superiors (Authority), do as they promise (Commitment) and agree with or
say “yes” to those they like (Liking). These were also found by Alkış and Temizel [
          <xref ref-type="bibr" rid="ref4">4</xref>
          ].
6.4
        </p>
      </sec>
      <sec id="sec-5-6">
        <title>Influence of Neuroticism on Consensus</title>
        <p>
          Individuals high in Neuroticism (HN) are more likely to be more susceptible to
Consensus given their anxiety, as they may not want to do things wrong. Just like LO
individuals, they may neither like to initiate new ventures nor embark on undertakings in
unexplored territories characterized by uncertainties, so they seek social proof. This
finding is similar to that of Lane and Manner [
          <xref ref-type="bibr" rid="ref17">17</xref>
          ], who investigated individuals’ most
used apps and found and a link between the use of travel apps and neurotic people.
They explained that neurotic people may use travel apps mostly “to overcome their fear
of being lost or of not being prepared for changing weather conditions” (p. 259) [
          <xref ref-type="bibr" rid="ref17">17</xref>
          ].
6.5
        </p>
      </sec>
      <sec id="sec-5-7">
        <title>Comparison of Relationships between Canadian and Turkish Populations</title>
        <p>
          We compare our findings based on Canadian participants (Can) with those based on the
Turkish participants (Tur) by Alkış and Temizel’s [
          <xref ref-type="bibr" rid="ref4">4</xref>
          ] (see Table 3). The grayed out
cells indicate the Turkish findings (relationships) we are able to replicate. As one can
see, our results replicate to a large extent the prior findings by Alkış and Temizel [
          <xref ref-type="bibr" rid="ref4">4</xref>
          ].
In their study, just as in our study, they found that Agreeableness, Conscientiousness
and Openness were the most consistent predictors of the persuasive strategies. In their
study, at least, two of these traits are co-predictors of five persuasive strategies,
excluding Scarcity. In our study, they are co-predictors of three persuasive strategies
(Authority, Commitment and Liking). Further, just as in our study, Neuroticism was the least
predictor of the persuasive strategies.
In total, we replicated nine of the eighteen significant relationships (i.e., 50%) found by
Alkış and Temizel [
          <xref ref-type="bibr" rid="ref4">4</xref>
          ]. For Authority, irrespective of nationality, the results show that
people who are low in Openness (β = -0.14 for Can and -0.2 for Tur) and high in
Agreeableness (β = 0.25 for both groups) are more suspecible to Authority. However, there
is a difference between the two populations: Conscientiousness is only a predictor of
Authority for the Turkish population. This indicates that, while those high in
Conscientiousness in the Turkish population are more responsive to Authority, this may not
be the case with the Canadian population. One possible explanation may be the inherent
cultural differences. Turkey, for example, is a collectivist culture [
          <xref ref-type="bibr" rid="ref16">16</xref>
          ], in which those
in position of authority are highly respected because of the wide power distance
between the leaders and followers. So, the more conscientious a person, the more
ressponsible s/he may be to authority [
          <xref ref-type="bibr" rid="ref19">19</xref>
          ]. Another possible explanation is that the Turkish
group is more homogeneous than the Canadian group, as it comprises only students
from the university, where conscientiousness and authority (e.g., professors, scholars,
etc.) play a vital role in learning and academic success [
          <xref ref-type="bibr" rid="ref25">25</xref>
          ]. Thus, there is a higher
chance of predictability of Authority by Conscientiousness among the Turkish student
population. For Commitment, irrespective of nationality, the results show that people
who are high in Conscientiousness (β = -0.17 for Can and -0.31 for Tur) and high in
Agreeableness (β = -0.18 for Can and -0.15 for Tur) are more suspecible to
Commitment. However, there is a difference between the two populations: Openness is only a
predictor of Commitment for the Turkish population. This indicates while those high
in Openness in the Turkish population are more responsive to Commitment, this may
not apply to the Canadian population. For Consensus, irrespective of nationality, the
results show that people who are low in Openness (β = -0.18 for Can and -0.22 for Tur)
are more suspecible to Consensus. However, there is a difference between the two
populations: while Neuroticism is only a predictor of Consensus among the Canadian
population, Agreeableness is only a predictor of Consensus among the Turkish population.
Putting it all together, individuals high in Neuroticism and low in Openess are more
responsive to Consensus among the Canadian group, while individuals high in
Agreeableness and low in Openess are more responsive to Consensus among the Turkish
group.
        </p>
        <p>Further, for Liking, irrespective of nationality, the results show that people who are
low in Openness (β = -0.17 for Can and -0.12 for Tur), low in Conscientiousness (β =
-0.36 for Can and -0.12 for Tur) and high in Agreeableness (β = 0.19 for Can and 0.29
for Tur) are more susceptible to Liking. While the influence of Conscientiousness on
Liking is stronger among the Canadian group, the influence of Agreeableness on Liking
is stronger among the Turkish group. However, there is a difference between the two
populations: Extraversion is only a predictor of Liking for the Turkish population (β =
0.12), with those high in this trait being more responsive to Liking. For Reciprocity,
irrespective of nationality, the results show that people who are high in
Conscientiousness (β = 0.25 for Can and 0.14 for Tur) are more susceptible to Reciprocity. However,
Extraversion and Agreeableness only influence Reciprocity among the Turkish group,
with people high in these traits being more susceptible to Reciprocity. Finally, for
Scarcity, Extraversion and Neuroticism only influence Reciprocity among the Turkish
group, with people high in these traits being more susceptible to Scarcity. To wrap up,
one possible explanation why more personality traits are involved in predicting the
persuasive strategies (e.g., Reciprocity) in the Turkish study than the Canadian study is
that the demographic of the former (all students) is more homogeneous than the mixed
demographic of the latter (see Table 1).
6.6</p>
      </sec>
      <sec id="sec-5-8">
        <title>Implications and Contribution</title>
        <p>
          Though prior research has shown that Commitment is the strongest Cialdini’s
persuasive strategy, followed by Reciprocity and Liking [
          <xref ref-type="bibr" rid="ref9">9</xref>
          ], it reveals that personality has a
role to play as well in terms of which of the persuasive strategies may be more effective
for certain individuals. For example, in the e-commerce domain, McElroy et al. [
          <xref ref-type="bibr" rid="ref26">26</xref>
          ]
submit that “firms that can understand their customers’ personality and buying
behavior will have a competitive advantage in the marketplace” (p. 818) [
          <xref ref-type="bibr" rid="ref26">26</xref>
          ]. Thus, it
becomes important for research findings on this subject to be presented to provide
designers of persuasive apps a broader body of knowledge to draw from when making
decisions about persuasive strategies to apply to their users, who are characteristically
different. In this regard, our contributions are as follows: By using a different culture, we
have shown and replicated the findings of Alkış and Temizel [
          <xref ref-type="bibr" rid="ref4">4</xref>
          ] that
Conscientiousness, Agreeableness and Openness are the strongest and most consistent predictors of
Cialdini’s principles of persuasion, which designers can leverage in tailoring persuasive
strategies for users in persuasive apps. We have also shown that some relationships
between persuasive strategies and the Big Five may not generalize to all cultures. They
may vary depending on the studied population.
6.7
        </p>
      </sec>
      <sec id="sec-5-9">
        <title>Limitation</title>
        <p>
          The first limitation of our study is the use of self-report and the shorter version of the
Big Five scale to measure personality. However, we believe, to a large extent, our result
reflects that of the longer version, as research has shown short scales can be as reliable
as long scales [
          <xref ref-type="bibr" rid="ref27">27</xref>
          ]. A second limitation is the comparison of our findings to those of a
prior study [
          <xref ref-type="bibr" rid="ref4">4</xref>
          ], e.g., the usage of different measurement instruments in both studies and
the time difference between the conduction of both studies, which may have impacted
our results. However, our study, with respect to the similarities in both studies, provides
insight into how personality traits influence persuasive strategies irrespective of culture.
        </p>
      </sec>
    </sec>
    <sec id="sec-6">
      <title>Conclusion and Future Work</title>
      <p>
        We have presented the effects of the Big Five personality traits [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ] on Cialdini’s six
persuasion strategies [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ] among the Canadian population (n = 216). We showed that
people: 1) high in Conscientiousness are more susceptible to Commitment and
Reciprocity, but less susceptible to Liking; 2) high in Agreeableness are more susceptible
to Authority, Commitment and Liking; 3) low in Openness are more susceptible to
Authority, Consensus and Liking; and 4) high in Neuroticism are more susceptible to
Consensus. These findings will help designers create more effective persuasive apps by
considering personality. In future work, we intend to extend our study to other
individualist and collectivist cultures in order to broaden the generalizability of our findings.
      </p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          1.
          <string-name>
            <surname>Chatterjee</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Price</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          :
          <article-title>Healthy Living with Persuasive Technologies: Framework, Issues, and Challenges</article-title>
          .
          <source>Journal of the American Medical Informatics Association</source>
          .
          <volume>16</volume>
          ,
          <fpage>171</fpage>
          -
          <lpage>178</lpage>
          (
          <year>2009</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          2. de Oliveira, R. De, Cherubini,
          <string-name>
            <given-names>M.</given-names>
            ,
            <surname>Oliver</surname>
          </string-name>
          , N.:
          <article-title>Influence of personality on satisfaction with mobile phone services</article-title>
          .
          <source>ACM Trans. Comput.-Hum. Interact</source>
          .
          <volume>20</volume>
          ,
          <issue>10</issue>
          :
          <fpage>1</fpage>
          -
          <lpage>10</lpage>
          :
          <fpage>23</fpage>
          (
          <year>2013</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          3.
          <string-name>
            <surname>Paunonen</surname>
            ,
            <given-names>S. V.</given-names>
          </string-name>
          :
          <article-title>Big Five factors of personality and replicated predictions of behavior</article-title>
          .
          <source>Journal of Personality and Social Psychology</source>
          .
          <volume>84</volume>
          ,
          <fpage>411</fpage>
          -
          <lpage>424</lpage>
          (
          <year>2003</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          4.
          <string-name>
            <surname>Alkış</surname>
            ,
            <given-names>N.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Temizel</surname>
          </string-name>
          , T.T.:
          <article-title>The impact of individual differences on influence strategies</article-title>
          .
          <source>Personality and Individual Differences</source>
          .
          <volume>87</volume>
          ,
          <fpage>147</fpage>
          -
          <lpage>152</lpage>
          (
          <year>2015</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          5.
          <string-name>
            <surname>Cialdini</surname>
          </string-name>
          , R.B.:
          <article-title>Influence: The Psychology of Persuasion</article-title>
          .
          <source>HarperCollins</source>
          (
          <year>2006</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          6.
          <string-name>
            <surname>Gosling</surname>
            ,
            <given-names>S.D.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Rentfrow</surname>
            ,
            <given-names>P.J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Jr.</surname>
          </string-name>
          , W. b. S.:
          <article-title>A very brief measure of the Big-Five personlity domains</article-title>
          .
          <source>Journal of Research in Personality. 37</source>
          ,
          <fpage>504</fpage>
          -
          <lpage>528</lpage>
          (
          <year>2003</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          7.
          <string-name>
            <surname>Kaptein</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>De Ruyter</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Markopoulos</surname>
            ,
            <given-names>P.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Aarts</surname>
            ,
            <given-names>E.</given-names>
          </string-name>
          :
          <article-title>Adaptive Persuasive Systems: A Study of Tailored Persuasive Text Messages to Reduce Snacking</article-title>
          .
          <source>ACM Transactions on Interactive Intelligent Systems. 2</source>
          ,
          <fpage>1</fpage>
          -
          <lpage>25</lpage>
          (
          <year>2012</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          8.
          <string-name>
            <surname>Kaptein</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Markopoulos</surname>
            ,
            <given-names>P.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>De Ruyter</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Aarts</surname>
          </string-name>
          , E.:
          <article-title>Can you be persuaded? Individual differences in susceptibility to persuasion</article-title>
          .
          <source>Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)</source>
          .
          <source>5726 LNCS</source>
          ,
          <fpage>115</fpage>
          -
          <lpage>118</lpage>
          (
          <year>2009</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          9.
          <string-name>
            <surname>Orji</surname>
          </string-name>
          , R.:
          <article-title>Persuasion and Culture: Individualism-Collectivism and Susceptibility to Influence Strategies</article-title>
          . Workshop on Personalization in
          <source>Persuasive Technology (PPT'16)</source>
          . (
          <year>2016</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          10.
          <string-name>
            <surname>Cialdini</surname>
            ,
            <given-names>R.B.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Rhoads</surname>
            ,
            <given-names>K.V.L.</given-names>
          </string-name>
          :
          <article-title>Human behavior and the marketplace</article-title>
          .
          <source>Marketing Research</source>
          .
          <volume>13</volume>
          ,
          <fpage>8</fpage>
          -
          <lpage>13</lpage>
          (
          <year>2001</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          11.
          <string-name>
            <surname>McCrae</surname>
            ,
            <given-names>R.R.</given-names>
          </string-name>
          , John,
          <string-name>
            <surname>O.</surname>
          </string-name>
          :
          <article-title>An introduction to the five-factor model and its applications</article-title>
          .
          <source>Journal of Personality</source>
          .
          <volume>60</volume>
          ,
          <fpage>175</fpage>
          -
          <lpage>215</lpage>
          (
          <year>1992</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          12.
          <string-name>
            <surname>Butt</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Phillips</surname>
          </string-name>
          , J.:
          <article-title>Personality and self reported mobile phone use</article-title>
          .
          <source>Computers in Human Behavior</source>
          .
          <volume>24</volume>
          ,
          <fpage>346</fpage>
          -
          <lpage>360</lpage>
          (
          <year>2008</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref13">
        <mixed-citation>
          13.
          <string-name>
            <surname>Halko</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kientz</surname>
            ,
            <given-names>J.A.</given-names>
          </string-name>
          :
          <article-title>Personality and persuasive technology: an exploratory study on health-promoting mobile applications</article-title>
          . In: International Conference on Persuasive Technology. pp.
          <fpage>150</fpage>
          -
          <lpage>161</lpage>
          . Springer, Berlin Heidelberg (
          <year>2010</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref14">
        <mixed-citation>
          14.
          <string-name>
            <surname>Heinstrom</surname>
          </string-name>
          , J.:
          <article-title>Five personality dimensions and their influence on information behaviour</article-title>
          .
          <source>Information Research</source>
          .
          <volume>9</volume>
          ,
          <fpage>1</fpage>
          -
          <lpage>23</lpage>
          (
          <year>2003</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref15">
        <mixed-citation>
          15. Sofia, G.:
          <article-title>Investigating the Role of Personality Traits and Influence Strategies on the Persuasive Effect of Personalized Recommendations</article-title>
          .
          <source>In: 4th Workshop on Emotions and Personality in Personalized Systems (EMPIRE)</source>
          . p.
          <volume>9</volume>
          (
          <year>2016</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref16">
        <mixed-citation>
          16.
          <string-name>
            <surname>Hofstede</surname>
          </string-name>
          , G.:
          <article-title>Dimensionalizing Cultures : The Hofstede Model in Context</article-title>
          .
          <source>Online Readings in Psychology and Culture. 2</source>
          ,
          <fpage>1</fpage>
          -
          <lpage>26</lpage>
          (
          <year>2011</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref17">
        <mixed-citation>
          17.
          <string-name>
            <surname>Lane</surname>
            ,
            <given-names>W.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Manner</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          :
          <article-title>The Influence of Personality Traits on Mobile Phone Application Preferences</article-title>
          .
          <source>Journal of Economics and Behavioral Studies</source>
          .
          <volume>4</volume>
          ,
          <fpage>252</fpage>
          -
          <lpage>260</lpage>
          (
          <year>2012</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref18">
        <mixed-citation>
          18.
          <string-name>
            <surname>Moore</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>McElroy</surname>
            ,
            <given-names>J.C.</given-names>
          </string-name>
          :
          <article-title>The influence of Personality On Facebook Usage</article-title>
          .
          <source>Computers in Human Behavior</source>
          .
          <volume>28</volume>
          ,
          <fpage>267</fpage>
          -
          <lpage>274</lpage>
          (
          <year>2012</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref19">
        <mixed-citation>
          19.
          <string-name>
            <surname>Karim</surname>
            ,
            <given-names>N.S.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Zamzuri</surname>
            ,
            <given-names>N.H.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Nor</surname>
            ,
            <given-names>Y.M.</given-names>
          </string-name>
          :
          <article-title>Exploring the relationship between Internet ethics in university students and the big five model of personality</article-title>
          .
          <source>Computers and Education</source>
          .
          <volume>53</volume>
          ,
          <fpage>86</fpage>
          -
          <lpage>93</lpage>
          (
          <year>2009</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref20">
        <mixed-citation>
          20.
          <string-name>
            <surname>Wong</surname>
            ,
            <given-names>K.K.</given-names>
          </string-name>
          :
          <article-title>Partial Least Squares Structural Equation Modeling (PLS-SEM) Techniques Using SmartPLS</article-title>
          .
          <source>Marketing Bulletin</source>
          .
          <volume>24</volume>
          ,
          <fpage>1</fpage>
          -
          <lpage>32</lpage>
          (
          <year>2013</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref21">
        <mixed-citation>
          21.
          <string-name>
            <surname>McCrae</surname>
            ,
            <given-names>R.R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Costa</surname>
          </string-name>
          , P.T.:
          <article-title>Validation of the five -factor model of personality across instruments and observers</article-title>
          .
          <source>Journal of pe. 52</source>
          ,
          <fpage>81</fpage>
          -
          <lpage>90</lpage>
          (
          <year>1987</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref22">
        <mixed-citation>
          22.
          <string-name>
            <surname>Clark</surname>
            ,
            <given-names>W.R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kemp</surname>
            ,
            <given-names>J.K.</given-names>
          </string-name>
          :
          <article-title>Using the six principles of influence to increase student involvement in professional organizations: A relationship marketing approach</article-title>
          .
          <source>Journal for Advancement of Marketing Education</source>
          .
          <volume>12</volume>
          ,
          <fpage>43</fpage>
          -
          <lpage>52</lpage>
          (
          <year>2008</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref23">
        <mixed-citation>
          23.
          <string-name>
            <surname>Palmer</surname>
          </string-name>
          , J.:
          <article-title>Scientists and information: II. Personal factors in information behaviour</article-title>
          .
          <source>Journal of Documentation</source>
          .
          <volume>47</volume>
          ,
          <fpage>254</fpage>
          -
          <lpage>275</lpage>
          (
          <year>1991</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref24">
        <mixed-citation>
          24.
          <string-name>
            <surname>Barrick</surname>
            ,
            <given-names>M.R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Mount</surname>
            ,
            <given-names>M.K.</given-names>
          </string-name>
          :
          <article-title>The Big Five Personality Dimensions and Job Performance: A Meta-Analysis</article-title>
          .
          <source>Personal Psychology</source>
          .
          <volume>44</volume>
          ,
          <fpage>1</fpage>
          -
          <lpage>26</lpage>
          (
          <year>1991</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref25">
        <mixed-citation>
          25.
          <string-name>
            <surname>Conrad</surname>
            ,
            <given-names>N.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Patry</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          :
          <article-title>Conscientiousness and academic performance: a mediational analysis</article-title>
          .
          <source>International Journal for the Scholarship of Teaching and Learning</source>
          .
          <volume>6</volume>
          ,
          <fpage>1</fpage>
          -
          <lpage>14</lpage>
          (
          <year>2012</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref26">
        <mixed-citation>
          26.
          <string-name>
            <surname>McElroy</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Hendrickson</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Townsend</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          :
          <article-title>Dispositional Factors in Internet Use: Personality versus Cognitive Style</article-title>
          .
          <source>MIS Quarterly</source>
          .
          <volume>31</volume>
          ,
          <fpage>809</fpage>
          -
          <lpage>820</lpage>
          (
          <year>2007</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref27">
        <mixed-citation>
          27.
          <string-name>
            <surname>Burisch</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          :
          <article-title>You don't always get what you pay for: Measuring depression with short and simple versus long and sophisticated scales</article-title>
          .
          <source>Journal of Research in Personality. 18</source>
          ,
          <fpage>81</fpage>
          -
          <lpage>98</lpage>
          (
          <year>1984</year>
          ).
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>