The trusted leader in training for over 25 years.
by David E. Zulawski and Douglas E. Wicklander
Solving Mysterious Disappearances
Last month's column focused on the red flags associated with fraud activity.
These included the prevalent managerial styles and behavioral characteristics
of embezzlers that indicate the likelihood of fraud activity. Frauds are
planned in advance, because their success is based on concealment of the
act. Theft, on the other hand, is more often a crime of opportunity based
on the subject's real or perceived need.
One of the most difficult types of criminal activity to investigate is
property crime because there is rarely a paper trail or witness to the
act. Police clearance rates reflect this difficulty. Thefts, burglaries,
vandalism, and arson clearance rates are well below 25%, while case resolutions
for crimes against persons usually exceed 70%.
Often property crimes can be solved only when there is a pattern of theft
activity. Each associate has an equal opportunity to have participated
in the theft; but, who actually did it? No bank is likely to be willing
to sit back and absorb continuing losses while the pattern that identifies
a suspect is established. So how is the disappearance of money or merchandise
solved when there is no witness or paper trail?
The Beginning
The investigation begins with the careful reconstruction of the circumstances
surrounding the loss. The reconstruction establishes the time frame of
the loss and the circumstances involved. This yields a pool of suspects,
the "investigative universe" of all those people, management
and hourly, who could have conceivably been involved.
It is important that all "potential" suspects be included, no
matter how unlikely they are. In one case, a series of thefts occurred
out of a safe in a cash office. Six employees worked in the cash office
and were offered as the only possible suspects who could be responsible.
However, when investigation cleared each one of involvement, suspicion
turned to a janitor who emptied garbage in the office. He later confessed
to all the thefts from the safe, explaining that he could only steal when
the safe was open and the clerks were busy with other tasks.
Creating an "investigative universe" means limiting the number
of suspects. The group should be small enough to manage, but large enough
to include the thief.
Evaluating the Universe
With the suspects identified, an analysis of background characteristics
can narrow the focus of the investigation. Thieves have characteristics
that correlate statistically to the theft activity. From research into
theft activity, a number of common high-risk categories have been identified.
Wicklander-Zulawski has established these categories from the following
sources:
1) A study conducted by the University of Minnesota, which identified
characteristics associated with admitted thieves in the work place.
2) Corroboration of those characteristics by Reid Psychological Systems'
validation studies of Reid Survey III, (a paper and pencil test used to
investigate employee dishonesty, drug use, and organizational problems
in the work place)
3) A study by Service Merchandise of employees terminated for dishonesty
over a ten year period.
4 ) Anecdotal truths derived from hundreds of theft investigations.
To identify the person involved in a mysterious disappearance of cash
or merchandise the investigator proceeds on the assumption that the more
high risk categories one belongs to, the higher the probability of one's
involvement in the act under investigation. By analyzing the employee's
background and work product, an investigator can narrow the focus of the
investigation to the individual(s) most likely to be involved. For a sample
employee data sheet, contact Wicklander-Zulawski & Associates, Inc.
The following categories help identify the person responsible for the
mysterious disappearance.
Full or Part-time
People working part-time for an organization are more likely to steal
than the full-time associates. The part-time employee generally has no
long-term commitment to the organization or its future.
Tenure
Research indicates that employees with less than one year's tenure with
the organization are responsible for almost 70% of theft activity. Of
this group, those working less than six months with the organization are
responsible for more than 2/3 of that 70% figure.
Age
Employees between the ages of 16 and 25 account for approximately 13 per
cent of the work force, but commit almost 70% of the theft activity reported
to management.
Marital Status
Employees who are unmarried are more likely to be involved in theft activity
than those who are married. While a generalization, an individual who
steals a VCR and comes home to a spouse is more likely to face unpleasant
questions than an associate who comes home only to a pet.
Employment History
Individuals coming out of weekly controlled environments are more likely
to steal than those who have been employed in highly structured situations.
People who previously worked as convenience store clerks, bartenders or
in similar positions often developed the habit of theft because they poorly
supervised while having a significant opportunity to steal.
High and Low Salary
Investigators have, for years, focused on individuals with low salaries
and correspondingly high financial need as having a motive for theft.
The Minnesota study agrees. However, it found admitted theft activity
also correlates strongly with individuals who were at the high end of
compensation. This group spends more and travels with a more exclusive
group. The resulting demands may stretch their finances.
Changes in Income
This aspect addresses the suspect's financial need. Changes in income
may result from a husband or wife being terminated or laid off. A change
in compensation may result because the company moves an employee from
a salary to a commission pay plan. With a change from salary to commission,
the subject discovers that his or her inability to sell severely affects
income.
Spending Habits
As a group thieves tend to be conspicuous consumers. They spend their
money on jewelry, clothes, and vehicles that enhance their image.
Workmanship/Productivity
Thieves, as a group, often exhibit poor workmanship and productivity in
their jobs. They produce less than honest co-workers and the quality of
the work product is diminished.
Bad Attendance/Long Breaks
The Minnesota study determined individuals admitting theft activity also
were involved in the theft of time. They had poor attendance, took long
breaks, came in late, and left early. Also, they often were sick the day
after a significant theft occurred.
Disgruntlement
Disgruntlement is the characteristic that correlates most often in the
research with admitted theft activity. An employee who is disgruntled
can easily rationalize theft activity in light of perceived mistreatment.
Looking for a new job because of unhappiness is another indicator of increased
likelihood of theft activity.
Friends Visiting/Personal Phone Calls
Another factor that is strongly associated with admitted theft activity
in the work place is an individual's personal life carrying into the job.
Visits by friends and excessive personal phone calls strongly impact the
quality of work and attention to detail.
These characteristics apply to theft. In some instances they differ significantly
from those that identify people involved in a fraud or embezzlement. Fraud
perpetrators, for example, tend to be long tenured and are perceived to
be hard working, which tends to conceal the fraud. Checking the universe
of suspects against these characteristics, however, often helps focus
an investigation on the individual responsible for the loss.
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