VOLUME 41 NUMBER 3
www.iijpm.com
SPRING 2015
The Voices of Influence | iijournals.com
. The Folly of Blame: Why
Investors Should Care About
Their Managers’ Culture
JASON HSU, JIM WARE, AND CHUCK HEISINGER
JASON HSU
is co-founder and
vice chair of Research
Affiliates, LLC in Newport Beach, CA, and
an adjunct professor of
finance at the UCLA
Anderson School of
Management in Los
Angeles, CA.
hsu@rallc.com
JIM WARE
is the founder of Focus
Consulting Group, Inc.,
in Long Grove, IL.
jware@focuscgroup.com
CHUCK H EISINGER
is a coach at Focus
Consulting Group
in Long Grove, IL.
cheisinger@focuscgroup.com
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JPM-HSU.indd 23
M
any industry observers would
agree with Charles Ellis’s
assertion that, when it comes
to achieving long-term success for an investment organization, culture
and organizational values are “the only truly
enduring factors” (Ellis [2004]). However,
only a handful of managers have emphasized
culture as an important attribute. Investment
consultants do not appear to systematically
assess managers,1 nor do investors appear
to make hiring or firing decisions based on
the managers’ culture. The business school
finance curriculum does not mention culture
as a key organizational attribute deserving
the attention of firm leaders and manager
selection analysts.
These facts suggest that,
by and large, the industry and academia do
not believe culture matters in a useful way.
The investment industry’s lack of
emphasis on culture contrasts interestingly
with developments in other industries.
According to a 2013 survey conducted by
the Katzenbach Center (www.strategyand.
pwc.com), 84% of 2,200 respondents from
various industries report that “culture is
critically important to success,” and 60%
believe that “culture is more important to
success than strategy and business model,”
(Aguirre et al. [2013]). Lyons et al.
[2007]
find that culture meaningfully inf luences
innovation and client service. Kets de Vries
et al. [2009] argue that, even when change is
necessary to a firm’s survival, organizational
renewal is impeded by a dysfunctional culture and a lack of senior level self-awareness.
This contributes to the high failure rate for
change initiatives (Beer and Nohria, [2000])
as well as for mergers involving firms with
conf licting cultures (Camerer and Weber
[2001]).
Killingsworth [2012] maintains
that corporate culture has greater inf luence
than do explicit rules and policies on ethical
behavior and legal compliance.
In this article, we adopt two standard
operational definitions of culture.2 The first
views culture as a manifest pattern of crossindividual behavioral consistency (CIBC), or
the coherent way in which employees perform tasks, solve problems, resolve conf licts,
and treat customers and colleagues. The
second, complementary definition views
culture as a set of informal values, norms,
and beliefs that underlie the observed CIBC.
Both definitions are useful for understanding
the survey responses and the empirical results
of our study.
In our context, a strong corporate culture means a high level of consistency—that
is, most employees can clearly articulate “how
we do things around here.” A good corporate
culture is one in which the members’ values
and behavioral consistency are conducive to
achieving the firm’s stated objectives. For
example, a firm might be deemed to have a
strong culture of blame if most people point
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.
fingers at others and expect colleagues to do the same
when problems occur. This culture of blame would
be deemed “bad” if the firm’s objective is to foster an
environment of shared accountability focused on solving
problems and improving results. In some situations, a
strong culture of blame might be deemed “good” if the
firm’s objective is to screen out thin-skinned individuals
unskilled at assigning blame to others and def lecting it
from themselves.
WHY DID WE CHOOSE TO EXAMINE
“BLAME” IN INVESTMENT
ORGANIZATIONS?
For this study we are specifically interested in
examining blame as a cultural behavior in investment
organizations, exploring the beliefs which drive it, and
identifying the beliefs and behaviors it might induce.
Ultimately, we are most interested in discerning links
to firm-level outcomes, which matter to owners, as well
as to current and prospective employees and clients.
Our findings may additionally encourage investment
consultants to rethink how they evaluate investment
managers.
A number of research efforts preceded ours.
Dethmer et al. [2015] argue that blame, a powerful
human motivator, is often the tool of choice for individuals in a position of power.
This raises the question whether blame, despite its negative connotations,
might actually be an effective tool for creating (shortterm?) success for investment organizations. If not, why
is blame as widely used as our investment industry data
indicate?
In an experimental study, Gurdal et al. [2013]
find that people regularly assign “unjustified” blame
to others for uncontrollable outcomes.
In other words,
they blame others for what amounts to f lipping “tails”
in a game of coin toss. Unjustified blame is particularly
unproductive, because it cannot modify behaviors in a
useful way, but has toxic consequences. This tendency
intensifies when there is a meaningful stake attached
to the random outcome.
In the investment industry,
where short-term performance is largely random, yet
has significant impact on firm profits and compensation
(Goyal and Wahal [2008] and Penfold [2012]), unjustified blame might be particularly prevalent.
For asset owners and their consultants, the pertinent question is whether managers with a strong culture
of blame might be less successful at producing alpha.
Could it be that, although blame is undesirable for rankand-file employees, it is nonetheless an effective device
for generating superior returns for clients and, consequently, profits for the business owners?
The literature on managing knowledge workers
consistently argues for an environment that fosters
personal accountability, creativity, and learning (Pink
[2009]). The psychology literature amply demonstrates
the linkage between blame and fear, on one hand, and
defensiveness, on the other. Neuroscience finds that fear
shuts down the part of the brain responsible for creative
problem solving, while organizational behavior studies
find that defensiveness inhibits high-level learning and
accountability.3 Summarizing 22 prior studies in a metastudy, Tennen and Aff leck [1990] find that “blaming is
ineffective at best, and more likely to be harmful.”
Thus, cross-discipline research indicates that a culture of blame could have a significant negative impact
on the effectiveness of financial analysts and portfolio
managers, leading to poor long-term performance.
Indeed, it appears that the market presupposes that a
culture of blame is linked to firm performance.
In an
event study around earning misses, Lee et al. [2004] find
that companies which owned their mistakes suffered less
stock price punishment than organizations that blamed
external factors.
WHAT DID WE FIND?
THE PUNCHLINE FIRST
We embarked on this research with a prior belief
that blame is harmful for the stakeholders of investment organizations. Using a unique and robust dataset,
we find that blame induces defensiveness and reduces
collaboration, openness, and learning in the culture
of investment organizations.
This then results in poor
operating performance, poor employee engagement, and
poor client experience.
We do not have data allowing us to link blame
directly with long-term alpha production. The firms
in the database do not report excess returns relative
to their managed portfolios’ benchmarks and, because
most of the survey responses are anonymous, we are
unable to extract their investment results from performance databases. However, respondents provide qualitative assessments of their firm’s performance relative to
peers.
Additionally, we have variables that are arguably
THE FOLLY OF BLAME : WHY I NVESTORS SHOULD CARE ABOUT THEIR M ANAGERS’ CULTURE
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. must-have factors for alpha generation, such as employee
loyalty, employee engagement, and the ability to attract
talent. These observations and interviews with seasoned
employees help us establish that blame has a significant
negative effect on expected alpha.
OUR SUGGESTION: CULTURE SHOULD BE
A FACTOR IN INVESTMENT MANAGER
SELECTION
Although identifying top quartile managers
remains difficult, investment consultants have developed
some reliable predictors for poor investment results.
Case studies suggest that deficiencies in talent retention,
investment philosophy, compensation scheme, ownership structure, and succession planning hurt long-term
investment results. Accordingly, some consultants focus
on these attributes when conducting due diligence.
Asset owners and consultants may wish to explore
the culture of investment management firms for additional insights on their alpha prospects. Our findings
demonstrate that the fear of being blamed could drive
counterproductive behaviors that are potentially harmful
to long-term investment results.4 Insofar as a blame culture could be measured during the due diligence process, consultants might be able to help investors win the
“loser’s game” (Ellis [2009]).
DETAILS OF OUR CROSS-SECTIONAL
EMPIRICAL STUDY: DATA, METHODOLOGY,
AND RESULTS
We are not exclusively interested in understanding
whether identifying a culture of blame would be useful
in predicting investment performance directly.
We
are also interested in the implications of a culture of
blame for other dimensions of stakeholder satisfaction.
Profitability has a significant effect on organizational
resourcing and stability, and employee happiness and
client servicing quality also contribute meaningfully
to firm success. Beyond manager selection, the analysis
would also 1) potentially inform owners/shareholders
about how to improve profits and 2) advise current and
prospective employees on career choices.
In our study we use a proprietary database provided
by Focus Consulting Group (FCG), which has been collecting data on investment organizations’ culture and
firm level outcomes for more than a decade. Ref lecting
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JPM-HSU.indd 25
the views of 3,245 respondents, the survey covers 70
investment organizations with assets under management
ranging from U.S.
$200 million to $124 billion, with an
average of $17 billion. We have also been given access to
free-form responses from FCG’s annual culture survey,
as well as opportunities to interview senior executives
at the firms included in the sample.
The database allows us to rigorously gauge the
strength of blame in the corporate culture and then correlate that characteristic with a variety of measurable
firm attributes and outcomes, including self-reported
scores on loyalty to the firm, firm attractiveness to outside talent, and success relative to other firms, among
others. For every firm, the firm-level score is aggregated
from confidential responses of the individual professionals working there.
The response rates are generally around 90%, and we do not detect any obvious
bias in the individuals’ anonymous scoring of their own
firms.5
The raw FCG data items are either objective firm
characteristics such as headcount, number of respondents,
and assets under management, or subjective assessments
provided by the respondents about their employers.
Specifically, there are variables that correspond to firm
attributes and firm outcomes. In this article, we use
“attribute” to describe the firm’s culture, environment,
or character. We use “outcome” to capture a firm’s success (or lack thereof ) along various key dimensions.
Each
employee at a participating investment organization
was asked to select the ten culture attributes that best
describe the firm from a list of 65 options. Some of the
negative attributes include blame, gossip, entitlement,
and manipulation. Positive attributes include collaboration/teamwork, openness to new ideas, passion, and
innovation.
More neutral attributes, such as disciplined,
efficient, and independent, were also included. The top
10 attributes selected, however, are not additionally
ranked. For example, if 60% of all respondents for firm
X select blame as a top 10 attribute, the strength of blame
culture for firm X would be recorded as 0.60, on a range
of 0.0 to 1.0.
Appendix A contains further information
on the FCG data collection methodology and the data
items available.
Many of the attribute options are related in what
they convey. For example, open-minded and curious
both capture associated firm culture attributes. Others
are correlated because they are two sides of the same
coin.
For example, blame and defensiveness generally
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. go hand in hand in any social ecosystem. For a deeper
understanding of the survey responses, we provide a
cross-sectional correlation (Exhibit 1) for the surveyed
firms along six major dimensions. For tractability and
ease of exposition, we cluster similar attributes together
into macro attributes; in total we created six macro
attributes from FCG’s 65 original attributes. They are
Creativity/Innovation, Team/Collaboration, Entrepreneurial/Risk-taking, Excellence, Blame, and Sludge exBlame.
The raw attributes that form the macro attributes
are shown in the text under Exhibit 1. A macro attribute
is considered to have been selected by a respondent if the
respondent selects any of its raw attributes.
Unsurprisingly, firms with high levels of Blame
also have a high level of other negative culture attributes (Sludge ex-Blame), and these very firms tend to
have low levels of Creativity, Team, Entrepreneurial,
and Excellence in their culture.
In addition to voting for the top 10 firm attributes,
employees were asked to grade their employer on a scale
of 1 to N for a number of different firm outcomes. (1 is
the lowest and N is chosen to give appropriate granularity.) For example, performance relative to peers is
graded on a scale of 10, whereas the firm’s ability to
attract talent is graded on a scale of 7.6 The votes for a
given outcome received from all respondents were then
averaged and recorded for that firm.
It is worth noting that there is self-selection in
this dataset.
These investment organizations chose to
participate in the FCG survey, while many others did
not. Many of the participating firms’ senior management
chose to take part in the FCG survey, in order to learn
about their existing culture and its potential inf luences
on firm performance. We are, however, unaware of any
resulting bias that might affect our empirical results.
In addition to the raw FCG data items that we use
as variables in the cross-sectional study, we also construct
proxy variables by combining various data items.
Specifically, we combine firm-level attributes on accountability,
creativity, collaboration, continuous improvement, and
others to form a predictive outcome variable for longterm operational performance. In total we create three
proxy variables to measure 1) the firm’s likely long-term
operational performance, 2) client experience, and 3)
employee engagement. We describe how each proxy
variable is constructed in Appendix B.
In the current study, we examine the cross-sectional relationship between the strength of blame culture
in a firm and the firm’s various attributes and outcomes.
We report the cross-sectional regression in Exhibit 2.
We use the weighted least squares (WLS) approach to
adjust for the difference in the number of respondents for
each firm, but the ordinary least squares (OLS) results
are entirely similar.
Exhibit 2 reports that high blame in an investment
organization is highly correlated with low employee loyalty, low ability to attract talent, low owner mentality
in employees, low long-term operational performance,
EXHIBIT 1
Cross-sectional Correlation of Macro Attributes for Firms
Blame: blame, defensiveness.
Creativity/Innovation: creativity/innovation, curious/open to new ideas, research oriented, open minded, humor/fun, positive.
Team/Collaboration: team/collaborate, appreciation, friendship, dependable, mentorship/development, respect, trust/sincerity.
Entrepreneurial/Risk Taking: entrepreneurial, risk-taking, owner mentality, passion/energy, hands-on/action oriented, proactive.
Excellence: excellence, continual improvement, commitment, discipline, efficiency, being the best, quality/precision.
Sludge ex-Blame: gossip, manipulation, negative, territorial, entitlement, disrespect, politics, reactive, risk averse.
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.
EXHIBIT 2
as a second independent variable alongside “Blame.” We report the results for
Cross-Sectional Regression
these regressions in Exhibit 3. We also
report the univariate WLS with firm
“Success” as the only independent variable in Exhibit 4.
Exhibit 3 shows that firm success does contribute to more positive
employee assessments for every attribute
examined. This is not surprising; success
masks a lot of problems. What is inter*We use the macro attribute of Blame, which includes both blame and defensiveness.
esting, however, is just how little that
seems to matter.
While the t-stat for the
success variable is significant for five of
EXHIBIT 3
the seven regressions, the improvement
Cross-Sectional Regression
in explanatory power (adjusted R 2 ) is
large only for “attracting talent.” Using
adjusted R 2 to compare the univariate
models examined in Exhibit 2 and
Exhibit 4, we find that blame explains
more of the variation in key performance
statistics for investment firms than does
success, except along the dimension of
attracting talent. Comparing Exhibit 4
*We use the macro attribute of Blame, which includes both blame and defensiveness.
and Exhibit 3, we find that t-stat for
success falls noticeably when blame is
added as a second independent variable
EXHIBIT 4
to explain the variation in firm outCross-Sectional Regression
comes. In four of the six regressions, the
t-stat for success declined by more than
40%.
Success becomes statistically insignificant as an explanatory variable along
the dimensions of employee engagement
and client experience (satisfaction).
Exhibit 5 and Exhibit 6 present a
more rigorous comparison of the models.
Exhibit 5 compares model 1 (blame
poor client experience, low employee engagement, and
only) against model 2 (blame + success) and compares
low firm success relative to peers. However, correlation
model 3 (success only) against model 2. The F-test is
is not causality.
A reasonable competing hypothesis is
appropriate here because both model 1 and model 3 nest
that poor firm success is actually the true driver of all
within model 2. From Exhibit 5, we find that model 2 is
ills; blame is just a correlated outcome that, by itself, has
always preferred over model 3 for explaining the crossno effect when controlling for firm success. Arguably, if
section of firm outcomes.
This means the blame always
the firm were doing better (that is, if performance were
adds additional explanatory power for understanding
better, profits higher, and so forth) there would be less
why investment organizations deliver different outcomes
blaming and more employee loyalty, higher ability to
in some of the most critical dimensions. However, model
attract talent, and so on. To address this question, we
2 is not preferred over model 1 for explaining the crossperform a multivariate WLS, introducing firm “Success”
sectional variation in client experience and employee
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.
EXHIBIT 5
Model Comparison Using F-Test
is nearly immaterial in predicting positive
impact on long-term operational performance, employee engagement, and client
experience.
DETAILS OF OUR QUALITATIVE
INTERVIEW STUDY: INTERVIEWS
AND DISCUSSIONS
In addition to the quantitative analysis, we also use in-depth interviews to
qualitatively analyze firms in the data*5% Critical value = 3.99; **the 2-factor model is rejected in favor of the 1-factor model.
base. FCG computes composite scores and
applies a proprietary ranking methodology
to order the firms in its survey database.
EXHIBIT 6
We conducted follow-up interviews with
Model Comparison using AIC and BIC
leaders of a few firms selected from FCG’s
“elite” or “high-performance organizations” (HPOs). Generally, our selected
HPOs have high self-reported scores for
success, relative to other investment firms.
They also have some of the highest scores
in firm attributes that are related to longterm stakeholder success. In this section, we
include synopses of interviews with these
Critical value = 2; **second model is rejected in favor of the first.
firms’ senior leaders, whom we asked about
the linkage between their culture and firm
performance, with a particular emphasis on
engagement, meaning that in two of the six key outcome
the blame element.8
areas, success does not play an important role.
Frank Hart (president, Greystone Managed InvestIn Exhibit 6, we show that we reach identical conments): “The Greystone culture is: recognize your error,
clusions using the AIC (Akaike Information Criterion)
learn from it, and do better next time.
We encourage
and BIC (Bayesian Information Criterion) for model
honesty. We don’t punish people for errors… If people
selection. Additionally, we compare the two non-nested
see others getting blamed when mistakes are made, then
models, model 1 versus model 3, using AIC/BIC.
We
they’ll do the same, and it will become acceptable…
find that model 1 is preferred over model 3 in all situaEverybody makes mistakes. The challenge is, how do
tions, except when explaining the firm’s ability to attract
you avoid making them a second or third time? We
talent. Our results suggest that success doesn’t generate
learn a lot by looking at what went wrong, as opposed
enough organizational endorphin to overcome the toxic
to who did what wrong.
Then we fix the processes so
effect of the blame culture in general.7
it doesn’t happen again.”
Success appears to be potentially effective in offsetMichael Mezei (president, Mawer Investment): “[When
ting the blame culture only when it comes to attracting
examining mistakes], stay away from ‘who’ questions
talent. A highly successful firm is also likely to be able to
and focus on ‘what’ questions. As soon as you go down
offer a larger compensation package, which is still conthe ‘who was involved’ [path], then immediately [you
sidered the most important driver for many job seekers’
are] trying to figure out how many people were involved
employment decisions.
However, current success and
and what percentage to blame for each person. From a
potential financial largess do not seem to have as positive
practical standpoint, if an error has happened, [we are]
an effect for existing employees. Current firm success
very focused on what happened, what steps are taken to
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.
remediate it and what learnings are we going to apply—
what are we going to do differently and what process
are we going to change for next time.”
Fred Martin (president and CIO of Disciplined Growth
Investors): “I think if the head of a firm wants to measure the blame factor, he needs to look in the mirror. If
he’s engaged in blame, then his firm will be engaged in
blame. It starts at the top. The top person has to follow
the suggestions of being open, curious, and accountable… I know my guys are smart.
If I beat them up on
their mistakes—and we don’t win on all our stocks—
they would slowly buy less controversial stocks and it
would hurt our long-term numbers. We actively practice
forgiving mistakes, just letting go. That is something
that really helps us.”
Donna Merchant (head of human resources at American Beacon): “[You have] to negate blame to have that
entrepreneurial spirit to step out on the line in order
to achieve more.
With risk comes reward. We have to
foster a culture where our people are not afraid to think
outside of the box and try something new.”
Paul Gerla (CEO of Kempen Capital): “When you
grow the way we have grown, and you get more complexity, [you really need to] spend the time to be open
and curious, to celebrate successes but also, when failures come, to foster continual improvement rather than
blaming. When we have these moments where we are
very defensive, we say, ‘Hey, listen, I think we should
become open and curious again.’ It really helps to have
this knowledge [on the dynamics between blame and
learning].”
In addition to interviewing leaders of high performing investment firms, we studied the FCG database of interview transcripts, as well as free responses
from the low-performing firms.
The common themes
in blame-oriented cultures are fear and low morale.
We provide a few anonymous quotes from professionals at these blame-oriented firms.9 First, we focus
on responses that touch on leadership and how it contributes to the blame culture. We observe lower selfawareness in the leadership ranks of low-performing
organizations.
Anonymous response #1: “The company’s culture is
in crisis and will require substantial changes. It needs
to begin at the level of the CEO.
[It] is common for the
CEO to argue against research analysts in meetings, often
resulting in somewhat of a public berating. This tends to
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generate animosity, discourage any open dialogue from
occurring, and inherently puts each analyst into defensiveness at meetings. Research analysts have asked about
the CEO’s mood prior to meeting with him in order to
prepare mentally… [Most] individuals in research would
leave if given a reasonable opportunity.”
Anonymous response #2: “As far as the senior team
goes, most are unapproachable and [when they do get
involved as issues arise], they are [blame-oriented].
Instead of building up individuals and teams, there seems
to be a process of knocking them down.
This has been
going on for quite some time. As far as initiative and
risk taking, I believe most employees are happy to just
sit in their cubicles [and duck their heads]… Loyalty,
firm-wide, has deteriorated.
Anonymous response #3: “[The firm has] actually
two cultures: employees and management (mostly portfolio managers). PMs take credit when things go well
and blame analysts when things go wrong.
[As a result],
there is little ‘collaboration’ between PMs and analysts.
PMs used to be f lat-out hostile toward the employees,
but recent defections have caused them to bite their lips.
Very few people are happy here.”
The following responses provide additional insights
on how blame might create disengagement in professionals, as well as other workplace dysfunctions.
Anonymous response #4: “The culture here is very
blame-oriented. And after a while, there is a learned
helplessness that sets in with people. At my prior job—a
hedge fund—the environment was demanding but fair.
I felt like I was performing at about 90% of my effectiveness.
Here I am at 30%, tops. I will leave for another job
as soon as an opportunity arises.”10
Anonymous response #5: “The regular assignment of
blame when things go wrong has led to an environment
where many employees operate in fear of making mistakes. Employees are encouraged to ‘throw each other
under the bus’ in order to make us collectively better
and more efficient, a management style that is effective in some ways but fosters resentment and paranoia.
Employees regularly disparage other employees—even
at the very highest levels.
[This seems to create] a great
deal of territoriality, especially at the highest levels: a
“my group is better/smarter/more important” than your
group mentality… Morale is generally low.”
Anonymous response #6: “There is a lot of gossip
around [the] office and everyone is quick to assign blame
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. instead of pitching in to help each other. It feels like
everyone is always trying to uncover someone else’s
wrongdoing or mistake, instead of just doing their
work. No training or mentoring, [instead wasting time]
tracking why someone was out due to bereavement, and
so forth. […] [It is] hard to stay motivated.”
Anonymous response #7: “I feel the culture at [the
firm] encourages the fear of blame.
I feel that people
are afraid to be found having made a mistake. No one
wants to make a mistake. Instead of using [mistakes] to
improve processes and procedures, they simply are black
marks on a person.
I don’t feel that employees feel secure
in our positions. We feel vulnerable all the time.”
In the following responses, we get a glimpse into
the experience of potentially unjustified blaming for
short-term noise.
Anonymous response #8: “While we claim to stand
for long-term performance, our PMs are constantly
asking about quarterly performance. Sometimes I will
get an email the day before an [earnings announcement] asking what I expect for earnings and whether
we should trade the stock.
If earnings do surprise and
the stock trades up or down, I get blamed for not being
on top of it.”
Anonymous response #9: “This culture is toxic.
When [portfolio managers] have success, it is all due to
their brilliance. When they underperform, we analysts
get blamed. It even extends to not owning the better
stocks.
We [constantly] get drilled in our weekly meetings about why we don’t own a name that is up 20%.”
Anonymous response #10: “We have a culture of
fear and distrust. There lacks genuine respect for the
people and for their intellect. [Instead], the idea that
you are only as good as your last call is prevalent.
The
comp structure, which rewards short-term outcomes
[and ignores long-term contributions], seems to support
an unhealthy competition amongst peers and encourage
bad-mouthing peers. The investment leadership seems
to always be at odds with one another, which makes
decisions contentious [with a lot of second guessing].”
Although anonymity and confidentiality hinder
more substantial discussion regarding firms with highblame cultures, it is nonetheless important to acknowledge that only 12% of the firms in the sample would
be classified as having strong, healthy cultures, while
a significant percentage would be classified as having
meaningful culture dysfunctions, including the strong
presence of blame.
DISCUSSION
We find that blame is strongly associated with a
variety of undesirable firm attributes and can be predictive of poor stakeholder outcomes for investment organizations. What we have learned from leaders of selected
high-performing investment organizations also confirms
that blame inhibits honesty, learning, risk-taking, and
the willingness to improve.
In the data as well as the
interviews, we find that blame increases defensiveness
and fear. Senior managers’ condoning or leading with
blame also spurs imitation under the pretense of organizational accountability. When blame and the associated
culture elements of fear, defensiveness, and righteousness
are dominant, self-reported scores on personal accountability, creativity, and learning in organizations fall substantially below average.
Indeed, one could imagine that in an investment
organization with a strong blame culture, people could
take joy in second-guessing investment decisions after
poor short-term performance.
Whether it is the board
blaming the investment staff at a pension fund or the
client-facing team blaming the portfolio management
group at an asset management firm, the logical selfprotective moves are to def lect blame onto others or to
hide poor results. People are unlikely to display personal
accountability and proactively identify problems where
they play a part. Moreover, anecdotal evidence indicates
that when blame is high, people can be unwilling to
speak out about problems because they don’t want to
get other people in trouble or be viewed as grinding an
axe.
It is hard to imagine long-term investment success
from an organization steeped in blame.
On the other hand, evidence suggests that superior
long-term investment results arise with higher probability from organizations that 1) do not create fear around
identified problems, 2) debate problems with openness
and without blame, 3) emphasize fixing problems, and 4)
focus on learning to avoid similar mistakes in the future.
It then bears asking why a blame culture could persist in
an industry that is based on rational decision-making and
focused on long-term success. Why might organizations
filled with avid learners create a culture that shuts down
learning while encouraging defensiveness?
We do not find evidence that senior leaders set
out to create a culture of blame. What appears to be a
driver of the blame culture, in some instances, is actually a bungled attempt to create more accountability by
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.
defaulting to the age-old formula: find out who messed
up and blame them as quickly as possible. In the words
of one CEO, “A public hanging is a good thing now and
then.” Additionally, highly intelligent and competitive
people often have the greatest need to be right (Ware
et al. [2006] and Argyris [2008]). Organizations that
are plagued with fault-finding probably subconsciously
value being right more than learning.
Indeed, perhaps
we blame others precisely to satisfy the ego’s need to be
right. Debates whose purpose is to prove oneself right
and others wrong reduce the possibility for learning and
improving. People who focus on appearing to have the
truth are implicitly committed to seeing only one side of
the issue and looking only for confirming evidence.
Unjustified blame is particularly counterproductive.
The investment management industry is one where
short-term results provide little or no information on the
true quality of the product. Leaders in this or any other
industry are simply human and therefore driven by typical human tendencies.11 Nonetheless, a culture of blame
in an environment where outcomes are random might
engender perverse behaviors, such as closet indexing
and year-end window-dressing, as well as nonsensical
behaviors such as spending resources on developing coinf lipping skills, rather than a sound grasp of investment
science and statistics. This hardly seems like a recipe for
creating long-term investment success.
CONCLUSION
Our objective in this research article is not to provide a prescription for eliminating blame in the corporate culture.12 Rather, it is to provide quantitative
analyses using a cross-sectional approach (a technique
that is familiar to the finance industry) and qualitative
analyses through in-depth interviews with industry professionals (a technique that is widely used in the social
sciences) to demonstrate that blame is both prevalent
in the investment industry and toxic to the success of
investment organizations.
Whether blame is a failed
attempt at fostering accountability or an ego-validation
exercise, it largely produces fear, defensiveness, and
low morale, among other undesirable firm attributes.
More importantly, blame is highly correlated with variables that predict sub-par long-term firm performance,
poor client satisfaction, and low employee engagement.
Clearly, the presence of a culture of blame should be
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considered a meaningful predictor of poor long-term
investment results for investment organizations.
APPENDIX A
FCG Database Description and Data
Collection Methodology
From 2010 to 2013, FCG surveyed 3,245 individuals
from 70 investment organizations about corporate culture. All individuals at participating firms were invited to
respond. The surveys were standard (i.e., not customized to
the individual firms) and conducted online with complete
anonymity.
Each participant has a unique link, which avoids
multiple entries from the same individual. The recorded
response rate was approximately 90%. We report relevant
firm characteristics.
Range
Median
Average
Firm AUM
$200 MM~$124 B
$4 B
$17 B
Firm
Respondents
4~376
32
49
In this appendix, we describe only questions that are
used for the research presented in this article.
The full FCG
survey is significantly more comprehensive.
The “existing firm attributes” question asks the respondent to identify the top 10 elements that exist in the firm.
Respondents can choose from a list of 65 culture terms,
which are positive (such as ethical, accountable, open to ideas,
candid, collaborative, and so forth), neutral (fast-paced, analytical, cost conscious, long-hours, and so forth), or negative
(manipulative, blame, defensiveness, territorial, negative, and
so forth).
To aggregate the individual selections into a firm-level
score for each culture attribute, we count the number of
votes a specific attribute receives from all firm respondents
and normalize against the number of respondents. If 80% of
all respondents select “blame” as a top 10 element of culture
at a particular company, the firm would score a 0.8 out of a
maximum of 1.0 for the blame attribute.
We use responses from four questions on “firm outcome” as the key dependent variables for our cross-sectional
study. Respondents are asked to rate their firm on a scale from
one to four, where one is the lowest.
We reproduce the spirit
of the questions below, as the actual questions were often
much longer and gave examples to provide fuller context.
Q1: The firm has an ability to attract top talents.
Q2: Employees have an ownership mentality.
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. Q3: I am unlikely to leave the firm for a similar opportunity elsewhere.
Q4: The firm is successful relative to other firms.
We note that respondents could interpret Q4 as better
investment performance or better financial performance,
among other possibilities. However, insofar as investment
organizations’ financial performance is highly tied to their
investment performance, we feel that the question captures a
meaningful assessment of investment performance. For each
firm, we compute its average scores for the four employee
assessment questions.
In addition, for each question on the survey, the
employees were encouraged to provide additional responses
to further explain their answers. This gives us deeper insight
into the mechanism that links blame and risk aversion, for
instance.
Every respondent selects 10 top firm attributes.
We
assign a value of +1/−1 if a selected attribute falls into the
above +1/−1 categories; otherwise we assigns a value of 0
to the selected attribute. The 10 selections are summed to
create a long-term score that is predictive of operational performance assessed by respondent i. Note that the maximum
score possible is +10 and the minimum is −4.
We average
over all firm respondents to compute the firm’s long-term
operational performance.
The selection of firm attributes to predict long-term
operational performance is admittedly subjective. Given that
our estimated coefficients are significant at the 0.1% level, we
believe the definition is robust to a variety of other reasonable
and related specifications. In any case, we argue that these
attributes are not controversial and generally intuitive, when
one examines the literature on what drives firm success.
We use the following attributes to create a proxy variable for predicting employee engagement.
APPENDIX B
+1
Predictive Proxy Variable Construction
Methodology
Many of the existing firm attributes can be further
combined to create proxy variables that are more convenient
to use for our analyses.
Specifically, we wanted to construct variables that could help predict the firm’s long-term
operational performance, client satisfaction, and employee
engagement.
We use the following attributes to predict long-term
operational performance.
−1
Loyalty
Bureaucracy
Appreciation
Territorial
Employee Empowerment
Disrespect
Fair
Gossip
Humor/Fun
Manipulation
Curious/Open to New Ideas
Politics
Compassion/Caring
Negative
Open Minded
Respect
Passion/Energy/Motivate
−1
+1
Positive
Profit/Financial Success
Territorial
Trust/Sincerity
Client Satisfaction
Risk-averse
Candor/Honesty/Open
Accountability/Responsibility
Short-term Focus
Collaboration/Teamwork
Excellence/Continuous
Improvement
Slow Moving/Reactive
Creativity/Innovation
Collaboration/Teamwork
Curious/Open to New Ideas
Risk-Taking
Long-term Perspective/Vision
We use the following attributes to create a proxy variable for predicting client satisfaction.
+1
Client Satisfaction
−1
Short-term Focus
Ethical/Integrity
Loyalty
Excellence/Continuous
Improvement
Shareholder/Owner Focus
Long-term Perspective/Vision
Passion/Energy/Motivate
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. Some attributes are used in multiple proxies. However,
the three proxy variables are not highly correlated and contain
independent information relative to each other.
ENDNOTES
We thank Limin Xiao and Chris Ariza for their research
assistance and Charley Ellis, Philip Lawton, John St. Hill, and
anonymous referees for their comments.
1
This assessment is based on our examination of a large
number of RFPs and our conversations with investment
consultants.
2
Our definitions are adopted from the web encyclopedia provided by the University of Rhode Island’s Schmidt
Labor Research Center. www.uri.edu/research/lrc/scholl/
webnotes/Culture.htm.
3
See Goleman [2005] for a comprehensive treatment.
4
Similarly, cases studies have questioned why pension
funds and portfolio managers do not rebalance into risk assets
after large price declines, given the documented long-term
price mean-reversion pattern (Ang and Kjaer [2012]).
Most
practitioners would readily acknowledge that the driver of
this behavior is based in organizational politics, rather than
in investment conviction. In 2009, the investment decision
to rebalance into financial stocks and high-yield bonds was
arguably sensible ex ante, but simply carried too much risk of
ex post blame.
5
There are no obvious benefits or harms to the firm for
scoring high or low along the various culture attributes. We
also have no reason to believe that respondents had incentives
to manipulate the survey; the results are 100% confidential,
offering complete individual anonymity within the firm and
complete firm anonymity externally.
6
In the survey, the grading scale is additionally associated by descriptive text such as 1 (Strongly disagree) or
7 (Strongly agree) to further help respondents address the
various scale-oriented questions.
7
In interviews, FCG executives report having clients who
had experienced performance success and financial success but
had very blame-oriented cultures, suggesting that success is not
the panacea for toxic cultures.
Typically, these clients’ success is
not sustained. In each case, the toxic firms lost valuable talent,
which led to mediocre subsequent performance.
8
Understandably, low-performing firms are less interested in being interviewed and having their culture dysfunctions publicly analyzed.
9
We edited the negative comments more aggressively
and combined some comments from various responses
from the same person to related questions. Exposition and
specific references are sometimes edited for brevity and
confidentiality.
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10
This person left soon after the interview, without a
job prospect.
11
Charley Ellis commented to us, “The investment
industry does appear to be rational and intellectual, but we are
all human and, under pressure, emotions often dominate.”
12
See Ware et al.
[2006] on ways to reduce blame in
organizations.
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