The impact of telework on emotional experience: When, and for whom, does telework improve daily affective well-being?

Abstract

Teleworking has become increasingly popular in organizations around the world. Despite this trend towards working outside of the traditional office setting, research has not yet examined how people feel (i.e., their affective experiences) on days when working at home versus in the office. Using a sample of 102 employees from a large US government agency, we employed a within-person design to test hypotheses about the relationship between teleworking and affective well-being. We also examined four individual differences (openness to experience, rumination, sensation seeking, and social connectedness outside of work) as cross-level moderators. Results show that employees experience more job-related positive affective well-being (PAWB) and less job-related negative affective well-being (NAWB) on days when they were teleworking compared to days they were working in the office. Findings show that several of the individual differences moderated the relationships. Discussion focuses on the need to consider the affective consequences of telework and the characteristics that determine who will benefit more or less from working at home.

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The impact of telework on emotional experience:
When, and for whom, does telework improve daily
affective well-being?
Amanda J. Andersona, Seth A. Kaplana & Ronald P. Vegaa
a Department of Psychology, George Mason University, Fairfax, VA, USA
Published online: 13 Oct 2014.
To cite this article: Amanda J. Anderson, Seth A. Kaplan & Ronald P. Vega (2014): The impact of telework on emotional
experience: When, and for whom, does telework improve daily affective well-being?, European Journal of Work and
Organizational Psychology, DOI: 10.1080/1359432X.2014.966086
To link to this article: http://dx.doi.org/10.1080/1359432X.2014.966086
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The impact of telework on emotional experience: When, and for whom,
does telework improve daily affective well-being?
Amanda J. Anderson, Seth A. Kaplan, and Ronald P. Vega
Department of Psychology, George Mason University, Fairfax, VA, USA
Teleworking has become increasingly popular in organizations around the world. Despite this trend towards working outside of
the traditional office setting, research has not yet examined how people feel (i.e., their affective experiences) on days when
working at home versus in the office. Using a sample of 102 employees from a large US government agency, we employed a
within-person design to test hypotheses about the relationship between teleworking and affective well-being. We also examined
four individual differences (openness to experience, rumination, sensation seeking, and social connectedness outside of work)
as cross-level moderators. Results show that employees experience more job-related positive affective well-being (PAWB) and
less job-related negative affective well-being (NAWB) on days when they were teleworking compared to days they were
working in the office. Findings show that several of the individual differences moderated the relationships. Discussion focuses
on the need to consider the affective consequences of telework and the characteristics that determine who will benefit more or
less from working at home.
Keywords: Telework; Personality; Negative affect; Positive affect.
Teleworking is now a common global practice.
Approximately one-fourth (24%) of the Americans report
working from home some hours each week (United States
Bureau of Labor Statistics, 2011), and many European
countries have similarly high teleworking rates (e.g., 24%
in the Sweden, 29% in Finland; Flexibility.co.uk Limited,
2012). Although not uniformly positive, telework poten-
tially can produce various individual and organizational
benefits such as increased job satisfaction, lower work–
family conflict, decreased turnover and absenteeism, and
reduced costs for office space use and maintenance
(Daniels, Lamond, & Standen, 2000; Gajendran &
Harrision, 2007; Reason Foundation, 2005). Also, the
view that telework is a cost-efficient alternative to the
traditional work environment has led government agen-
cies and other organizations to implement policies to
allow and encourage telework (e.g., Telework
Enhancement Act, 2010).
Although there has been increasingly widespread imple-
mentation of telework programs in both governmental and
private sector organizations (Matevka, Rapino, Landivar,
2012), research has not kept pace with the questions raised
by practice. Here, we address a set of seemingly significant,
yet largely neglected, issues. First, we examine the emo-
tional experience of working at home versus in the office.
To date, relevant work on telework and well-being has
primarily focused on attitudinal variables as the main
well-being outcomes of interest (e.g., job satisfaction,
Gajendran & Harrison, 2007; Vega, Anderson, & Kaplan,
2014). However, affective experiences on a given work day
are clearly discrepant from one-time overall evaluations
about one’s job or circumstances. Indeed, Weiss (2002)
describes how job satisfaction represents a broad evalua-
tion of one’s job (an attitude), whereas affect encompasses
a variety of feelings (i.e., joy, anxiety) that may fluctuate
during the work day. Affect and satisfaction are concep-
tually distinct, and thus, we extend the literature by con-
sidering the relationship between telework and affective
experiences. To do so, we use a within-person methodol-
ogy to best capture these fluctuations in affect.
Second, there is almost no work on individual differ-
ences, like personality traits, that may moderate the
Correspondence should be addressed to Amanda J. Anderson, Department of Psychology, George Mason University, 4400 University Drive MSN
3F5, Fairfax, VA 22030-4444, USA. E-mail: aander10@gmu.edu
We thank the government agency representatives who partnered with us and facilitated the data collection process. In addition, we thank the
associate editor and two anonymous reviewers who helped shape this article to its current form.
European Journal of Work and Organizational Psychology, 2014
http://dx.doi.org/10.1080/1359432X.2014.966086
© 2014 Taylor & Francis
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potential benefits of telework. Although research has con-
sidered contextual factors (e.g., supervisor support, tech-
nical support; Haines, St-Onge, & Archambault, 2002)
that influence telework outcomes, researchers have not
yet examined the relationship between employee traits
and telework outcomes (for an exception, see O’Neill,
Hambley, & Bercovich, 2014). As such, we do not
know who would benefit more or less from working out-
side the traditional office environment. Exploring the
impact of telework on emotional experience and who
benefits most from telework can provide insight for
employees as to whether teleworking would be beneficial
as well as for organizations when implementing telework
programs and determining which employees may be best
suited to work outside of the office.
In this paper, we attempt to begin redressing these
voids by providing insights into (1) the relationship
between telework and affective well-being and (2) the
individual differences that may moderate this relation-
ship. To these ends, the remainder of the paper unfolds
as follows. First, we present a theoretical rationale for the
relationship between teleworking and positive and nega-
tive affective well-being (PAWB and NAWB). We then
provide theoretical explanations for four individual dif-
ference variables predicted to moderate the telework–
affective well-being relationships. Using a sample of
employees from a large government agency, we test
our hypotheses with a within-person design. We con-
clude with a synthesis of our findings as well as a
discussion of the implications of our findings for
research and telework in practice.
TELEWORK AND AFFECTIVE WELL-BEING
Given the significant proportion of workers who are now
teleworking, it is essential to consider their affective
well-being. Affective well-being has been linked to a
variety of business outcomes including increased profit-
ability, productivity, and lower rates of turnover (Harter,
Schmidt, & Keyes, 2003) and positive individual out-
comes such as job performance and physical health
(Lyubomirsky, King, & Diener, 2005). As such, deter-
mining the extent to which work location influences
employee affective well-being can provide insight into
a potential mechanism (telework) through which organi-
zations could impact employee well-being (and therefore
business outcomes).
We focus on two aspects of job-related affective well-
being—positive and negative affect. Higher positive affect
is associated with states such as enthusiasm, alertness, and
happiness, whereas higher negative affect includes nega-
tive feelings such as fear, anxiety, and guilt (Watson,
Clark, McIntyre, & Hamaker, 1992). A large body of
research suggests that positive and negative affect are
two separate dimensions that are largely independent of
each other (e.g., Burke, Brief, & George, 1993) and that
occur through different biological and psychological
mechanisms (Watson, 2000). In addition, positive and
negative affect are largely associated with different ante-
cedents and outcomes (e.g., Watson & Pennebaker, 1989).
Given these findings, we examine positive and negative
affect as two separate outcomes of telework.
We base our hypotheses on affective events theory
(AET; Weiss & Cropanzano, 1996). AET proposes that
experiencing different work events can impact
employees’affective states (and subsequent attitudes
and behaviours). AET focuses on the role of everyday
happenings on the job as opposed to the stable fea-
tures of the job and work context. Everyday events
can include both minor (e.g., accomplishing a small
task, everyday social interactions) and major events
(e.g., receiving a promotion). Research has supported
AET’s propositions, indicating that experiences of
positive or negative events are related to positive or
negative moods, respectively (e.g., Miner, Glomb, &
Hulin, 2005;Zohar,1999).
Here, we apply and extend AET to consider the emo-
tional impact of events occurring both at and beyond
one’s physical workplace (i.e., “the office”). We expect
that, on average, employees will encounter different
events when working at home versus in the office.
Further, we expect that personality will impact the experi-
ence of these events—through differential exposure, per-
ception, or reactions to them. Our model, based on AET,
is presented in Figure 1. Next, we provide an overview of
the rationale for why we expect that individuals working
from home will experience more positive affect.
Positive affective well-being
According to AET, employees who experience positive
events will experience positive emotions. There are sev-
eral aspects of the telework environment that may lead to
increased frequency of positive events and therefore
result in more positive emotions. Researchers have
established that teleworkers experience perceived auton-
omy (Gajendran & Harrision, 2007) because they have
greater choice in the location and scheduling of their
work tasks (e.g., DuBrin, 1991; Standen, Daniels, &
Lamond, 1999). Teleworking has also been shown to
be associated with higher feelings of control and flex-
ibility (Huws, Korte, & Robinson, 1990; Maruyama &
Tietze, 2012; Standen et al., 1999; Tremblay, 2003)
which have been associated with mental health and
well-being (Thompson & Prottas, 2006; Warr, 2007).
Further, teleworkers experience less interruptions
(Bailey & Kurland, 2002; Duxbury, Higgins, &
Neufeld, 1998; Haddad, Lyons, & Chatterjee, 2009)
which can lead to more goal progress, a commonly
cited source of positive emotions (e.g., Brunstein,
1993). In sum, overall characteristics of the telework
environment (increased autonomy, control, schedule
flexibility, decreased interruptions, and increased ability
to accomplish goals) suggest that teleworking should be
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associated with increased experiences of positive
events.
1
Thus, we expect that:
Hypothesis 1: When teleworking, employees will
experience more job-related PAWB compared to
when they are working at the office.
Negative affective well-being
In addition to the reasons why we would expect increased
positive affect, we propose several additional reasons why
we expect that employees will experience less negative
affect while teleworking. AET indicates that employees
will experience negative emotions after negative events.
In general, survey research indicates that teleworkers
experience less stress than office workers (World at
Work, 2011). There are several reasons why working at
home may result in a reduced number of negative events
and less stress during the work day. First, working at home
can lead to reduced interruptions (Bailey & Kurland,
2002; Duxbury et al., 1998; Haddad et al., 2009), a com-
monly cited source of stress and negative workplace affect
(Jett & George, 2003). Second, telework reduces/elimi-
nates commuting time (e.g., Peters, Tijdens, & Wetzels,
2004; Tremblay, 2003). Commuting is among the daily
activities associated with the highest levels of negative
affect (Kahneman, Krueger, Schkade, Schwarz, & Stone,
2004). Reduced commuting time could reduce negative
affect in several ways such as by providing the opportu-
nity for more sleep and/or exercise which are both asso-
ciated with less negative emotions (Guszkowska, 2004;
Motomura et al., 2013) and by reducing the amount of
hassles and costs associated with transportation. In sum,
we expect that the combination of reduced commuting
time, less work-related interruptions, more autonomy, and
more control will result in employees experiencing less
negative affect when teleworking compared to working in
the traditional office setting. Formally, we expect that:
Hypothesis 2: When teleworking, employees will
experience less job-related NAWB compared to
when they are working at the office.
Work Environment Features (i.e.,
working in the office or at home)
Daily Work Events (e.g.,
autonomy,
flexibility/control of
schedule, and commute
required)
Affective Reactions
Positive affect•
•Negative affect
Individual Differences
•Rumination
•Sensation seeking
•Openness to experience
•Social connections outside
of the workplace
Figure 1. Our proposed model, based on affective events theory (Weiss & Cropanzano, 1996). Solid lines indicate that the constructs are measured in
the current study and dashed lines indicate that the constructs are not measured in the current study.
1
Worth noting is that, instead of enhancing well-being, telework
may, in some instances, decrease positive well-being. For example,
research shows teleworkers perceive a reduction in visibility and
decreased career development opportunities (Duxbury et al., 1998;
Shamir & Salomon, 1985). However, here, we are focusing on affective
experiences among individuals who telework regularly but not exclu-
sively (a set amount of days per pay period), so we believe that these
employees will experience more of the positive benefits of teleworking
due to the fact that the negative aspects of telework tend to manifest
their effects over longer periods of time among exclusive teleworkers
(i.e., reduced face time resulting in stifled career advancement).
TELEWORK AND AFFECT 3
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INDIVIDUAL DIFFERENCES AS
MODERATORS OF THE TELEWORK–
AFFECTIVE WELL-BEING RELATIONSHIPS
Although we expect telework to generally produce salu-
brious affective consequences, these effects may not be
uniform. According to the AET framework, the emo-
tional impact of work events varies as a function of
theoretically relevant individual differences (see Weiss
& Cropanzano, 1996). Supportive of this notion, sub-
stantial research documents that individual differences
are key drivers of the ultimate affective outcomes result-
ing from workplace features and events (e.g., Judge,
Erez, & Thoresen, 2000). These dispositional factors
operate through several mechanisms, including influen-
cing exposure to, perceptions of, and reactions to rele-
vant events and contextual factors (Barsky, Thoresen,
Warren, & Kaplan, 2004). Borrowing from these find-
ings, we propose that the generally favourable effects of
working from home will also vary as a function of key
traits.
To date, the relevant literature is relatively mute on
the potential role of individual differences in telework.
Although a few studies have examined how individual
differences such as personality traits relate to attitudes
towards telework (Clark, Karau, & Michalisin, 2012;
Gainey & Clenney, 2006), there is almost no research
focusing on the relationship between these variables and
outcomes of telework. To our knowledge, the only such
study is a recent cross-sectional investigation of the
relationships among several personality characteristics
(conscientiousness, agreeableness, honesty, and neuroti-
cism) and cyber slacking among employees who work
remotely at least once a month (O’Neill et al., 2014).
Here, we seek to expand the literature on this topic by
broadening the scope of individual differences being
researched, as well as considering how these individual
differences affect the relationship between telework and
affective well-being.
Although there are various potential characteristics
that may moderate the effects of teleworking on affective
well-being, consideration of the relationships proposed
earlier led us to focus on four specific characteristics. We
selected these traits based on theoretical considerations
suggesting their role in impacting the day-to-day affec-
tive experience of working at home versus in the office.
Based on the nature of events discussed earlier, we
determined that resultant psychological states such as
feelings of social disconnectedness, boredom, freedom
and uncertainty about working in an environment with
less structure, and increased time for self-reflective
thoughts may largely differentiate the experience of
working at home versus from the office. Working back-
wards, we then chose to focus on personal characteristics
that should influence the amount and nature of these
potential resultant reactions. The hypothesized impact
of these four individual differences is discussed later.
Openness to experience
The first individual difference variable we chose to
examine was openness to experience. Individuals who
are high on openness to experience tend to be creative,
broad-minded, curious, grasp new ideas quickly, and
desire variety (Barrick & Mount, 1991; McCrae &
Costa, 2003). Teleworking requires employees to adapt
to a new work setting and structure, as well as to incor-
porate new technologies in the way that they perform
their jobs (e.g., videoconferencing; Haines et al., 2002).
A certain degree of openness to new experience seems
beneficial in helping employees adapt to telework. In
addition, the flexibility of telework in terms of schedul-
ing work tasks and work hours should be particularly
beneficial to individuals who are high in openness.
Indeed, research has demonstrated that there is a positive
relationship between openness and positive perceptions
of telework programs (Gainey & Clenney, 2006), espe-
cially with the flexibility aspect of telework (Clark et al.,
2012). Luse, McElroy, Townsend, and DeMarie (2013)
found that openness to experience was the only one of
the Big Five personality traits that significantly related to
preference for virtual team work over face-to-face work.
Given these reasons, we expect that openness to experi-
ence will moderate the relationship between teleworking
and affective well-being. Specifically, we expect:
Hypothesis 3a: Individual levels of openness to
experience will moderate the relationship between
teleworking and positive affect such that the rela-
tionship becomes more positive as openness
increases.
Hypothesis 3b: Individual levels of openness to
experience will moderate the relationship between
teleworking and negative affect such that the rela-
tionship becomes more negative as openness
increases.
Rumination
A second potential moderating variable we examined
was trait rumination. Rumination is a way of coping
with negative emotions that involves repetitive and pas-
sive attention on one’s negative emotion and the mean-
ing of one’s negative feelings (Nolen-Hoeksema, 1991,
2000; Nolen-Hoeksema, Larson, & Grayson, 1999).
Although rumination can vary across situations, it is
often conceptualized as an individual difference variable
(Kuo et al., 2012; Treynor, Gonzalez, & Nolen-
Hoeksema, 2003) that represents an individual’s propen-
sity to engage in ruminative thinking. Individuals who
ruminate are often attempting to develop a better under-
standing of the cause of negative moods with the goal of
ultimately feeling better. However, rumination instead
actually tends to intensify negative mood by increasing
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attention to the negative mood (Lyubomirsky & Nolen-
Hoeksema, 1995). Indeed, rumination has been linked to
various negative outcomes such as increased severity of
negative affect and depression (Nolen-Hoeksema, 1991).
We see two reasons why higher levels of rumination
may attenuate the potential affective benefits of telework.
First, rumination may exacerbate the effects of dimin-
ished social contact associated with telework (Golden,
Veiga, & Dino, 2008). Research shows that employees
tend to have more ruminative thoughts when they are
alone compared to when they are around others (Cropley
& Purvis, 2003). As such, those predisposed to ruminate
may be at especially great risk to engage in such thinking
while teleworking. Second, insofar as telework can
represent a psychological “break”from some of the
stressors of the workplace (see earlier), those lower in
rumination may be more likely to benefit from that
break. In contrast, those predisposed to telework may
instead fail to reap the potential affective benefits of
working at home, instead spending those days dwelling
on work-related stress. We base this prediction on
research showing that rumination is associated with
work-related fatigue and an inability to psychologically
detach from work-related problems (Querstret &
Cropley, 2012). Given these two explanations, we offer
the following hypotheses.
Hypothesis 4a: Individual levels of rumination will
moderate the relationship between teleworking and
positive affect such that the relationship becomes
more negative as rumination increases.
Hypothesis 4b: Individual levels of rumination will
moderate the relationship between teleworking and
negative affect such that the relationship becomes
less negative as rumination increases.
Sensation seeking
Third, we considered sensation seeking. Sensation seek-
ing is considered a propensity to “seek novel and intense
sensations and experiences”(Zuckerman & Como, 1983,
p. 381). Individuals who are high in sensation seeking
tend to need higher levels of stimulation to reach their
optimal level of arousal and experience unpleasantness
when they do not reach this level of arousal (Larsen &
Buss, 2008). Research on sensation seeking in the man-
agement domain primarily has focused on occupational
choice among sensation seekers (Roberti, 2004) and
shown that sensation seekers tend to enjoy occupational
environments that involve stimulating surroundings
(Kish & Donnenwerth, 1969; Roberti, 2004). Research
suggests that individuals working at the office experi-
ence greater physiological arousal (e.g., blood pressure)
compared to teleworking individuals and also that the
number and variety of social interactions are greater
among workers at the office (Lundberg & Lindfors,
2002). As such, we would expect sensation seekers to
enjoy working in such an environment more so than
working from home where they have less access to
such interaction.
Hypothesis 5a: Individual levels of sensation seek-
ing will moderate the relationship between tele-
working and positive affect such that the
relationship becomes more negative as sensation
seeking increases.
Hypothesis 5b: Individual levels of sensation seek-
ing will moderate the relationship between tele-
working and negative affect such that the
relationship becomes less negative as sensation
seeking increases.
Social connectedness
The last moderating variable we included was social
connectedness outside of the workplace. Social connect-
edness outside of the workplace involves feeling in-
touch and emotionally connected to individuals outside
of one’s job (Hawthorne, 2006). Social connectedness
and social affiliation are strong predictors of well-being
as they relate to meeting the basic psychological need of
relatedness (Deci & Ryan, 1985; Diener, Suh, Lucas, &
Smith, 1999). Previous studies have shown a positive
relationship between social contact and affect at the
between- and within-person level, and these studies indi-
cate that maintaining social connectedness is key to
maintaining well-being on a daily basis (Reis, Sheldon,
Gable, Roscoe, & Ryan, 2000; Watson et al., 1992).
With respect to work location, research documents
that working is associated with greater social interaction
(e.g., more meetings and discussions) compared to tele-
working (Lundberg & Lindfors, 2002). Working in a
separate location from one’s co-workers has the potential
to cause feelings of isolation due to this lowered amount
of interaction. However, if employees meet their need for
connection through social interactions outside of work
(e.g., through interactions with family, friends, volunteer,
or community activities), then this may compensate or
buffer against any feelings of disconnectedness that are
experienced during the telework day. We expect that:
Hypothesis 6a: Individual levels of social connect-
edness outside of work will moderate the relation-
ship between teleworking and positive affect such
that the relationship becomes more positive as
social connectedness outside of work increases.
Hypothesis 6b: Individual levels of social con-
nectedness outside of work will moderate the
relationship between teleworking and negative
affect such that the relationship becomes more
negative as social connectedness outside of
work increases.
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In sum, we expect that, overall, individuals will
experience more PAWB and less NAWB while telework-
ing compared to while at the office due to increased
experiences of positive and negative events. In addition,
we predict that individuals who are higher in openness to
experience and who have higher levels of social con-
nectedness outside of the office will benefit most (experi-
ence higher positive affect and lower negative affect)
while teleworking. We expect that employees who are
higher in sensation seeking and rumination will not
benefit relatively as much (experience lower positive
affect and higher negative affect) from the telework
environment. Next, we describe our within-person meth-
odology used to test these hypotheses.
METHOD
Participants
We invited 702 employees from a large US federal
agency to participate in the study. These individuals
had previously signed telework agreements, indicating
that they telework at least once per pay period. From this
initial pool, 102 employees agreed to participate and
provided data during at least one of the 4 days. These
102 individuals comprised the final sample. On average,
respondents teleworked 2.88 days per week and had an
average of approximately 3 years of experience tele-
working (36.36 months). The following proportions of
the respondents were teleworking on each day of the
survey: 59.80% on day 1, 69.23% on day 2, 71.76%
on day 3, and 72.97% on day 4. Respondents were 50%
female, and the sample represented a range of age
groups, with 3.65% less than 25, 25.61% between 26
and 35, 19.51% between 36 and 45, 28.05% between 46
and 55, and 20.73% between 56 and 65 years old.
2
The
participants’exact job titles varied but generally
involved business operations management and contract
support.
Procedure
Data were collected from a sample of employees from a
large US government organization. Participants who
usually telework at least 1 day per pay period were
invited to participate in the survey at four time points
over a period of 2 weeks. Surveys were sent on Monday
and Wednesday of week 1 and Tuesday and Thursday of
week 2. Given that employees at the organization have
varied teleworking schedules, we collected data on four
different days of the week in order to capture the days of
the week when individuals would likely be teleworking.
Many individuals from the organization do not work on
Fridays due to compressed work schedules; hence, this
day was not included.
Participants were asked to complete the survey each
of the 4 days and to make at least one of those four
responses on a day they were teleworking. On those
4 days, participants received an e-mail that contained a
link to the secure survey website at 2:00 p.m. and were
asked to complete the measure before the end of the
workday.
In order to track respondents across the four surveys/
days while still protecting the anonymity of the employ-
ees, a series of three questions were asked in order to
create a unique identifier for each respondent. These
three items asked respondents to report their high school
mascot, the name of their first pet, and their shoe size.
The three items were presented at the beginning of each
of the four surveys. In this way, the same individual’s
responses can be tracked and compared across days.
Measures
Telework status
At the beginning of each survey, participants reported
whether they were working from home or at the office
that day.
Job-related affective well-being
At each time point, participants were asked to com-
plete 10 items from the Job-Related Affective Well-
Being Scale (JAWS; Van Katwyk, Fox, Spector, &
Kelloway, 2000). This is a widely used scale of job-
related affect (see http://shell.cas.usf.edu/~pspector/
scales/jawspage.html). Five items measured PAWB (at
ease, grateful, enthusiastic, happy, and proud) and five
items measured NAWB (bored, frustrated, angry,
anxious, and fatigued). Due to practical constraints, we
were only able to include 10 items from the full 30 item
JAWS, and we selected the items that we expected
would be most commonly experienced at work (e.g.,
we did not include “disgusted,”“frightened,”or
“ecstatic”). We also included a mixture of “high”and
“low”arousal items from each of the positive and nega-
tive scales. The stem question was rephrased to put
emphasis on the particular day the survey was taken
(as opposed to the original JAWS which references the
past 30 days). The stem read, “Below are a number of
statements that describe different emotions that a job can
make a person feel. Please indicate the amount to which
any part of your job (e.g., the work, coworkers, super-
visor, clients, pay) has made you feel that emotion
TODAY.”The items read “My job made me feel….”
The response scale ranged from strongly disagree (1) to
strongly agree (5). Exploratory factor analyses at each of
the four time points support a two-factor solution, and
2
Given that the non-respondents did not provide any data, we
were not able to compare the respondents versus non-respondents on
demographic or study variables. This said, we could not think of factors
that would have led the current sample to be non-representative of the
teleworkers in this agency. In addition, the sample demonstrated var-
iance on key variables such as telework frequency, age, gender, super-
visor status, and tenure.
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across the four time points, the internal consistency
reliability (α) for PAWB ranged from .87 to .93 and for
NAWB from .79 to .88.
Individual difference measures
During the first survey administration, participants
were asked to complete measures of openness to experi-
ence, sensation seeking, trait rumination, and social con-
nectedness outside of the workplace. Participants were
also asked to respond to several demographic items
(gender, experience teleworking, number of days tele-
worked per week on average, and age).
Openness to experience. The measure of openness to
experience included 10 items (Goldberg, 1999).
Participants were asked to report the extent to which
they agreed or disagreed with the statements on a 1–5
scale (strongly disagree to strongly agree). The scale had
sufficient internal consistency reliability (α= .83). A
sample item is “I have a vivid imagination.”
Trait rumination. The trait rumination scale was
adapted from Treynor et al. (2003) and included five
items. The question stem read, “We all feel sad, blue,
and down sometimes. People think and do many differ-
ent things when feeling this way. Please indicate how
frequently you do each of the following when feeling sad
or down. Please indicate what you generally do, not what
you think you should do.”The response scale ranged
from 1 to 5, where 1 = never and 5 = always. The scale
had satisfactory internal consistency reliability (α= .75).
Sensation seeking. Afive-item scale was adapted from
an existing survey (Zuckerman, Kolin, Price, & Zoob,
1964) to measure sensation seeking. Participants were
asked to report the extent to which they agree or disagree
on a 1–5 scale. Initial internal consistency reliability was
α= .48. After observing that the reliability was so low,
we conducted an exploratory factor analysis (using
Principle Axis Factoring and Promax rotation) to deter-
mine whether there were multiple dimensions. We found
that one of the five items (“Ifind certain pleasure in
routine kinds of work”) did not load on the same factor
as the other four items. This item was removed from the
scale, and the resulting internal consistency reliability
increased to α= .66.
Social connectedness outside of the workplace. The
measure of social connectedness outside of the workplace
included a stem question with five items measured on a 1–
5 scale (strongly disagree to strongly agree) (adapted from
Hawthorne, 2006). The stem read, “Please answer the
following questions about yourself outside of the work-
place. During the past four weeks…” and a sample item is,
“It has been easy to relate to others.”The scale had
adequate internal consistency reliability (α= .73).
The mean, standard deviations, and an observation-level
correlation matrix for these variables are provided in
Tab l e 1 . The observation-level means indicate that respon-
dents generally had fairly high levels of positive affect
(M=3.74,SD = .81) and low negative affect (M=2
.33,
SD = .95) when averaging across the 4 days. Positive and
negative affect were moderately negatively correlated at the
observation level (r=−.49, p< .01). Only two of the
individual difference variables were significantly correlated
(social connectedness and rumination, r=.36,p<.01).
Employees had average levels of sensation seeking
(M=2.88,SD = .57), openness to experience (M=3.38,
SD = .29), and social connectedness outside of the work-
place (M=3.35,SD = .40), and somewhat low levels of
trait rumination (M=2.07,SD = .58). Please refer to the
Appendix for the full list of items in the measures.
RESULTS
Main effects
We used random coefficient modeling (RCM) to analyse
the data since the observations are nested (time points
nested within person). We employed Full Information
Maximum Likelihood (FIML) estimation as our missing
data treatment for all analyses. Our first two hypotheses
focused on the main effect of telework on job-related
PAWB and NAWB. Hypothesis 1 predicted that
TABLE 1
Observation level correlation matrix
Mean SD 12 3456
1. Telework status .67 .47
2. Positive affect 3.74 .81 −.07
3. Negative affect 2.33 .95 −.04 −.49**
4. Sensation seeking 2.88 .57 −.01 −.21** .07
5. Rumination 2.07 .58 .02 −.11 .18* .11
6. Openness 3.38 .29 .01 .06 −.13 −.05 −.01
7. Social connectedness outside of the workplace 3.35 .40 .18 −.12 .06 .00 .36** .08
Telework status was coded 0 and 1, where 1 indicates the employee was teleworking on that day. Positive and negative affect
represent means across the four time points.
*p< .05, **p< .01.
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employees would experience more PAWB while tele-
working compared to when working at the office. The
telework variable was coded as 1 for teleworking and 0
for working at the office. The analysis shows a positive
coefficient for telework in predicting positive affect
which supports Hypothesis 1 (γ= .15, p< .05). We
also hypothesized that employees would experience
less negative affect while teleworking (Hypothesis 2),
and this was also supported by the analysis as indicated
by a significant negative coefficient (γ=−.23, p< .05).
Thus, employees reported experiencing greater positive
affect and less negative affect when working at home
versus in the office.
Cross-level moderation effects
We assessed the four moderators by entering them as
level-2 variables in the main effects models. The results
from these analyses appear in Table 2.Hypotheses3aand
3b predicted that openness would moderate the relation-
ship between teleworking and positive affect such that the
relationship becomes more positive as openness increased.
The results show support for Hypothesis 3a (γ=.74,
p< .05), indicating that openness is a cross-level mod-
erator of the telework and positive affect relationship; the
relationship becomes more positive as openness to experi-
ence increases. In contrast, we did not find support for
Hypothesis 3b, indicating that openness does not influ-
ence the telework–negative affect relationship.
Next, we tested rumination as a cross-level moderator.
Results support Hypotheses 4a, showing that the tele-
work–positive affect relationship becomes more negative
as trait rumination increases (γ=−.38, p< .01).
However, the results do not support Hypothesis 4b;
rumination does not moderate the telework–negative
affect relationship. Turning to sensation seeking, we
expected that, as sensation seeking increases, both the
telework–positive affect and the telework–negative affect
relationships would become more negative. However,
our analyses did not support either of these hypotheses
(Hypotheses 5a and 5b). Finally, we tested our
hypotheses about individuals’social connectedness out-
side of the workplace. We found support for Hypothesis
6a, revealing that the relationship between telework and
positive affect is moderated by one’s social connected-
ness outside of the workplace such that the relationship
becomes more positive as social connectedness increases
(γ= .75, p< .001). The results also support Hypothesis
6b, showing that social connectedness outside of work
moderates the relationship between telework and nega-
tive affect such that the relationship becomes more nega-
tive as social connectedness increases (individuals
experience less negative affect while teleworking as
social connectedness increases; γ=−.73, p< .01).
In sum, the results regarding the individual differ-
ences revealed that the relationship between telework
and positive affect was more strongly positive for indi-
viduals higher in openness to experience, lower in trait
rumination, and with greater social connectedness. Those
with higher levels of social connectedness had a more
strongly negative relationship between telework and
NAWB. The other cross-level moderation effects were
not significant. The significant interactions are plotted in
Figures 2–5.
DISCUSSION
The purpose of this research was to explore whether
work location influences employees’emotional well-
being and if it does, for whom? In the following para-
graphs we summarize the relevant study findings and
discuss implications and potential extensions of these
findings. We then note some limitations of the study,
mention additional directions for future scholarly work,
and describe the practical implications.
The first major topic we sought to address was
whether working at home, versus in the office, influences
day-to-day affective experience. The results revealed that
working at home was generally associated with both
greater positive affect and lower negative affect, in sup-
port of our hypotheses based on AET. We see these
findings as having two major implications. A first
TABLE 2
Random coefficient modeling results
Positive affect Negative affect
γSE t-Value γSE t-Value
Telework .15* .06 t(173) = 2.30 −.23* .09 t(173) = −2.49
Telework × Rumination −.38** .13 t(66) = −2.84 .37 .19 t(66) = 2.00
Telework × SenSeek −.12 .12 t(66) = −.95 .00 .22 t(66) = .01
Telework × Openness .74* .31 t(66) = 2.43 −.06 .49 t(66) = −.13
Telework × SocConn .75** .21 t(66) = 3.54 −.73** .27 t(66) = −2.70
The main effects of individual differences on positive and negative affect were included in the analyses. We did not hypothesize any main effects
and all main effects were non-significant (p> .10) with the exception of the main effect of social connectedness on positive affect (γ=−.75, SE = .28,
t(66) = 2.68, p< .001).
*p< .05, **p< .01.
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notable implication of these results is that the location
one works on a given day actually impacts one’s phe-
nomenological emotional experience. To date, the
dominant paradigm in the telework literature entails
assessing attitudinal and/or performance outcomes,
along with proposed mediators, either once (comparing
4.03.93.83.73.63.5
0.0 0.2 0.4 0.6 0.8
Telework status
Positive affect
1 SD below mean of rumination
Mean of rumination
1 SD above mean of rumination
1.0
Figure 3. Cross-level interaction of rumination and telework predicting positive affect. Plotted at one standard deviation below the mean, the mean,
and one standard deviation above the mean of rumination.
4.03.53.02.5
0.0 0.2 0.4 0.6 0.8 1.0
Telework status
Positive affect
1 SD below mean of openness to experience
Mean of openness to experience
1 SD above mean of openness to experience
Figure 2. Cross-level interaction of openness and telework predicting positive affect. Plotted at one standard deviation below the mean, the mean,
and one standard deviation above the mean of openness.
TELEWORK AND AFFECT 9
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teleworkers to non-teleworkers) or at multiple points,
separated by several months (see Gajendran &
Harrision, 2007). The current results show that working
at home does not just lead to different broad evaluative
judgments but that it actually feels differently from
working in the office.
4.03.53.02.52.0
0.0 0.2 0.4 0.6 0.8 1.0
Telework status
1 SD below mean of social connectedness
Mean of social connectedness
1 SD above mean of social connectedness
Negative affect
Figure 5. Cross-level interaction of social connectedness outside of the workplace and telework predicting negative affect. Plotted at one standard
deviation below the mean, the mean, and one standard deviation above the mean of social connectedness.
3.53.02.52.0
0.0 0.2 0.4 0.6 0.8 1.0
1 SD below mean of social connectedness
Mean of social connectedness
1 SD above mean of social connectedness
Positive affect
Telework status
Figure 4. Cross-level interaction of social connectedness outside of the workplace and telework predicting positive affect. Plotted at one standard
deviation below the mean, the mean, and one standard deviation above the mean of social connectedness.
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A second point regarding the affect findings is that
telework impacted both negative and positive affect—
decreasing and increasing them, respectively. To the
extent that the telework literature has incorporated
affect—in the form of role stress and work–family
conflict—the focus has been on negative forms of emo-
tion. In addition to more explicitly documenting that
telework can reduce the experience of emotions like
stress and anxiety, the present results reveal that it can
also increase positive emotions like happiness, joy, and
the like.
Of importance, though, the effect sizes for work loca-
tion were actually rather modest. Much more interesting
and significant in our view than these main effects are
the current findings documenting that the affective con-
sequences of telework seem to vary dramatically as a
function of individual differences. Surprisingly, despite
the intuitive notion that flexible work arrangements may
be differentially beneficial for certain types of indivi-
duals, there is almost no research on personality and
virtual work (see Luse et al., 2013 for an exception).
Collectively, our results indeed demonstrate that several
factors moderate the affective consequences of telework;
it seems that the positive emotional effects of telework
are not unconditional.
Turning first to rumination, the findings revealed that
the typical boost in positive affect that telework can
generate appears to be less strong for those who tend
to ruminate. This result supported our hypothesis, sug-
gesting that physically working alone may be associated
with increased ruminative thoughts which lead to less
positive emotion. However, our findings are discrepant
with previous research on rumination and negative
affect, which suggest that working alone may also lead
to experiencing greater negative emotion (Cropley &
Purvis, 2003).
Although we can only conjecture about this latter
finding, one possibility has to do with the type of rumi-
nation under investigation here. Much of the research on
rumination focus on thoughts about stressful, and often-
times traumatic, events and circumstances (e.g., Ehring,
Frank, & Ehlers, 2008). Given that most employees in
the current sample likely were not experiencing trau-
matic scenarios, the content of ruminative thought
while working generally may not have reflected or
induced extreme levels of negative affect. Instead,
given the lack of social contact and stimulation in this
environment, teleworkers instead may ruminate about
things like their (lack of) social relationships, their
family circumstances, and/or the types of existential
considerations associated with a lack of arousal
(Barbalet, 1999). Those types of ruminations would
seem more closely aligned with a lack of positive affect
rather than with higher negative affect such as anxiety,
anger, etc. (Watson, 2000). This said, future research
should consider measuring the amount and content of
ruminative thoughts that individuals experience while
working in different environments to directly capture
the underlying theoretical mechanisms.
In terms of openness to experience, we found that the
telework–positive affect relationship becomes more posi-
tive as openness increases. Notably, in one of the few
existing relevant studies on individual differences and
alternative work arrangements, Luse and colleagues
(2013) found that openness was the Big Five factor
most strongly associated with a preference for virtual,
versus face-to-face, teamwork. Future studies might try
to dig deeper into the causes of this relationship. In
particular, investigations may address whether those
higher in openness prefer virtual working arrangements
due to the flexibility such arrangements might provide
(e.g., in constructing one’s workspace at home in crea-
tive ways) and/or to the variability they provide (i.e.,
sometimes working face-to-face and other times in a
virtual context).
In contrast to the relationship involving positive
affect, our hypothesis about openness moderating the
relationship between telework and negative affect was
not supported. Thus, openness appears to boost positive
affect among teleworkers but does not decrease negative
affect. We can only conjecture on this finding, but one
possibility is that the greater leeway and room for
expression that telework provides (Gajendran &
Harrision, 2007) is more closely linked to positive affect
than it is to feelings like anxiety, guilt, and other aspects
of negative affect.
Our findings regarding social connectedness outside
the work place indicate that being engaged in social
relationships outside of work can further enhance the
relationship between telework and well-being.
Individuals who were highly connected outside of work
experienced even higher levels of positive affect and
lower levels of negative affect. These findings support
our hypotheses that meeting one’s need for social affilia-
tion outside of work can be beneficial among individuals
who telework. Going forward, we would also suggest
researchers examine this relationship among employees
who work exclusively, or almost exclusively, from home.
Plausibly, the current finding could either be stronger
among those extreme teleworkers, given their greater
isolation (Golden et al., 2008) or weaker, due to their
potentially categorically different lifestyle (e.g., restruc-
turing their time and social lives differently than partial
teleworkers).
Finally, we did not find support for our hypotheses
regarding the moderating effects of sensation seeking.
One potential explanation for these findings is that we
may have had a restricted range for the sensation seeking
variable. Studies show that individuals who are high in
sensation seeking tend to select highly stimulating pro-
fessions such as firefighting, race car driving, and moun-
tain climbing (Zaleski, 1984). Our sample consisted of
federal government employees who worked primarily on
finance and acquisition related tasks; thus, it is likely that
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employees in our sample did not represent the full range
of sensation seeking. Another explanation could be that
this variable does not moderate the relationship between
telework and well-being because individuals who are
high in sensation seeking may seek out excitement
regardless of the location and thus their affect is not
impacted by location.
In closing this section, we emphasize that that the
present results suggest that different individual differ-
ences matter for different outcomes (positive or negative
affect here) and, likely through impacting perceptions of,
and reactions to, different types of events. Work location
is obviously not an event per se, but it instead represents
a context making the experience of different types of
events, and resultant reactions, more or less likely. Here,
we used these events and their potential reactions as the
“jumping off point”in identifying theoretically plausible
individual differences. The diversity of events (e.g.,
being bored versus feeling socially disconnected) led to
an arguably diverse set of individual differences. As
such, the present analysis and results did not derive
from, and do not speak directly to, a given theoretical
framework of individual differences.
This all said, these findings do provide some tentative
clues as to what kind of framework might be useful to
guide future similar investigations. Specifically, these
four traits and the set of findings point to the possibility
that working from home is associated with less exter-
nally generated stimulation and that this difference is a
key driver of the current results. Whether deriving from
less social interaction, less ambient noise, or other con-
textual factors, working from home is, or at least can be,
a less stimulating than working in most offices. Research
indicates that having less external stimulation can either
decrease or increase internal stimulation (see Loukidou,
Loan-Clarke, & Daniels, 2009). Very possibly, the effect
depends on one’s internal level of arousal, as those with
greater pre-existing internal arousal need, and desire, less
external stimulation than those with lower internal levels
(e.g., Furnham & Allass, 1999; Larsen & Buss, 2008).
Seen in this light, the present findings tentatively suggest
that arousal, in some form (e.g., cognitive, physical,
physiological), and optimal levels of it, is the key deter-
minant of whether, or to what degree, working at home
is emotionally beneficial. As such, we would also call for
investigations of a trait like boredom proneness and for
experience sampling studies incorporating measures of
real-time arousal in different working contexts.
Limitations and future directions
Our study was not without some limitations. One limita-
tion was that the sample only included individuals from
a single, governmental organization. Upper management
in this organization held a very favourable view of tele-
working and, accordingly, instituted a liberal teleworking
policy. Also, we were not able to compare participants
and non-respondents on key variables. Given these con-
siderations, we cannot be completely certain that the
current findings would generalize to other employees or
to employees in other, less supportive organizations.
Regarding the latter consideration, employees who
choose to telework in organizations where telework is
not viewed as favourably may not enjoy the same ben-
efits in emotional well-being when working from home
as did the current sample.
More generally, the motives and consequences of
telework may certainly vary significantly across organi-
zations, due to varying organizational cultures and atti-
tudes towards telework. Thus, our results provide initial
insight into the phenomenon studied, but these results
may or may not generalize to other organizations. Future
studies should attempt to corroborate the present findings
in other organizations as well as across other types of
occupations. In addition, our sample was composed of
employees who teleworked a set number of times per
pay period. Future research exploring the generalizability
of these findings to samples containing teleworkers with
a variety of arrangements (e.g., occasional teleworkers,
exclusive teleworkers, those who are forced to telework
certain days) would be informative.
Another limitation of our study was that employees
were not randomly assigned to telework, which limits
our ability to draw inferences of causality. Given the
practical constraints and the agency’s existing telework
policy, it was not possible to randomly assign employees
to conditions. Although our within-person design pro-
vides more convincing evidence than cross-sectional
designs, we recognize that several factors, such as per-
sonality or job attitudes, may have impacted self-selec-
tion into telework arrangements (a challenge also faced
by other researchers; Bockerman, Bryson, &
Ilmakunnas, 2012). Thus, our sample may have a
restricted range on some of these characteristics. Worth
noting is that such a restriction in range would have
made it more difficult to find significant results. So,
arguably, this limitation could actually suggest that the
current results underestimate the true effects of telework
on affect. This said, without knowledge regarding which
individual differences impacted selection into telework
programs, we cannot definitively know whether or not
these impacted our estimates or in what direction. Future
researchers may seek to randomly assign respondents to
telework or no telework conditions to remove any varia-
bility due to personality or work attitude differences. In
addition, future studies should measure work attitudes to
determine the relationship between attitudes, affect, and
physical work location.
Also, as alluded to above, future studies should con-
sider mediating mechanisms through which telework
influences affect. As proposed by the AET, work envir-
onments may impact employee affect via work events.
We were not able to measure work events in the present
investigation, but research would benefit from studies
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measuring specific events that employees experience on
days when they are working in the office versus day
when they are teleworking (e.g., a diary study). In addi-
tion, although future research could examine established
between-person mediators between telework and attitu-
dinal outcomes (e.g., autonomy; Gajendran & Harrision,
2007), there may be other, more novel, potential media-
tors at the within-person level. For instance, working at
home may allow for greater physical activity or working
while listening to music, factors associated with affective
outcomes (e.g., Berger & Motl, 2000). In addition, tele-
work may increase positive affect by fostering percep-
tions of competence. Studies have shown that
teleworkers report higher levels of productivity com-
pared to employees who work in the office (e.g.,
Gajendran & Harrision, 2007; Hill, Ferris, &
Martinson, 2003; Hill, Miller, Weiner, & Colihan,
1998), and fulfilling the psychological need of compe-
tence (Deci & Ryan, 1991) may increase positive affect.
Finally, the mediator of commuting time could be an
area for future research. As mentioned in the introduc-
tion, commuting-related hassles are one of the largest
contributors to negative affect (Kahneman et al., 2004)
and thus could certainly be a mechanism through which
telework reduces negative emotions. Ideas such as these
seem ripe for investigation.
Finally, studies investigating other individual differ-
ences and the effects of individual differences on other
outcomes would seem very useful. The current findings
suggest that, at least in terms of affective gains, telework
is more beneficial for some employees than others. We
chose traits based on theoretical considerations but,
obviously, no study can capture all potentially relevant
characteristics. Intuitively, traits like boredom proneness
(as noted earlier) and conscientiousness would also seem
like candidates moderating the effects of working at
home. Related to this notion, studies addressing the
role of traits with respect to other outcomes also seem
necessary. From an organizational perspective, outcomes
like affective well-being presumably are not paramount;
consequences like performance and productivity are.
Notably, reviews of the relevant literature suggest that
telework can, but does not always, lead to gains in
performance and productivity (de Menezes & Kelliher,
2011; Gajendran & Harrision, 2007). Although various
contextual factors likely moderate this effect (e.g., avail-
ability of rich media for communication, supervisory
support for telework), individual differences also likely
play a significant role and very well may interact with
those situational features.
CONCLUSIONS AND PRACTICAL
IMPLICATIONS
The present findings are the first of which we are aware
to document the fluctuations in affect that result from
working at home versus in the office. Also, they
represent an initial exploration into the role of individual
differences as moderators of those effects. The impor-
tance of individual differences in adapting to various
work environments has been suggested by previous
research, but we have extended these findings to the
telework environment.
With respect to practical implications, these results
would seem to have relevance for the implementation
of telework policies and the management of teleworkers.
Our findings suggest that allowing employees to tele-
work can act as a simple intervention boost well-being
among some employees. Managers and organizations
must consider the individual differences of employees
before assuming that telework will be beneficial for all.
In general, managers should encourage teleworking
employees to develop and maintain social connections
outside of the workplace in order to increase well-being
and to buffer against negative affect. In addition, the
telework experiences of employees who are high in
trait rumination and low in openness should be moni-
tored by managers to determine whether telework is a
worthwhile arrangement for them. In addition, organiza-
tions with telework programs may consider administer-
ing personality assessments to be used for employee self-
awareness or monitoring of current teleworking employ-
ees. These personality assessments could also be used by
career planning or development professionals to help
clients determine whether jobs that involve teleworking
would suit their personality. Taken together, our findings
suggest that the relationship between work environment,
individual differences, and well-being is complex and
warrants careful consideration by organizational execu-
tives and scholars.
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First published online October 2014
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APPENDIX
MEASURES
Affective well-being
Below are a number of statements that describe
different emotions that a job can make a person
feel. Please indicate the amount to which any part
of your job (e.g., the work, co-workers, supervisor,
clients, and pay) has made you feel that emotion
TODAY.
Positive affective well-being
(1) My job made me feel at ease.
(2) My job made me feel grateful.
(3) My job made me feel enthusiastic.
(4) My job made me feel happy.
(5) My job made me feel proud.
Negative affective well-being
(1) My job made me feel frustrated.
(2) My job made me feel angry.
(3) My job made me feel anxious.
(4) My job made me feel fatigued.
(5) My job made me feel bored.
Openness
Please indicate the extent to which you agree or
disagree with the following statements (strongly
disagree to strongly agree).
(1) I have a rich vocabulary.
(2) I have a vivid imagination.
(3) I have excellent ideas.
(4) I am quick to understand things.
(5) I use difficult words.
(6) I spend time reflecting on things.
(7) I am full of ideas.
(8) I have difficulty understanding abstract ideas. (−)
(9) I am not interested in abstract ideas. (−)
(10) I do not have a good imagination. (−)
Social connectedness outside of the
workplace
Please answer the following questions about
yourself outside of the workplace. During the
past 4 weeks…(strongly disagree to strongly
agree).
(1) It has been easy to relate to others.
(2) I felt isolated from other people. (−)
(3) I had someone to share my feelings with.
(4) I found it easy to get in touch with others when I
needed to.
(5) When with other people, I felt separate from
them. (−)
Rumination
Please rate the extent to which you agree or dis-
agree with the following statements (strongly dis-
agree to strongly agree).
(1) I think “Why do I have problems other people
don’t have?”
(2) I think about how I don’t feel up to anything.
(3) I think “What am I doing to deserve this?”
(4) I think about a recent situation, wishing it had
gone better.
(5) I analyse my personality and try to understand
why I am depressed.
Sensation seeking
Please rate the extent to which you agree or dis-
agree with the following statements (strongly dis-
agree to strongly agree).
(1) I get bored sometimes seeing the same old
faces.
(2) I sometimes like to drive very fast because I find
it exciting.
(3) I prefer friends who are excitingly unpredictable.
(4) I like doing things just for the thrill of it.
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