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Developing the Geospatial Workforce
Dr. Cyndi Gaudet
Dr. Cyndi Gaudet
cyndi.gaudet@usm.edu
Dr. Annulis Heather
Assistant Professor
heather.annulis@usm.edu
According to the National
Aeronautics and Space
Administration (NASA),
geospatial technologies will change the
way people live and work more than the
personal computer.
Just as the personal computer revolutionized
business practices and everyday
life in the latter part of the twentieth
century, geospatial technologies
have the promise of impacting the next
millennium to an even greater extent.
This high growth, high technology
industry faces a serious workforce challenge.
A shortage of a qualified and
skilled workforce exists to meet the
demands of this dynamic industry.
A key component of an efficient
geospatial job market is the match
between job requirements and employee
competencies. What skills and competencies
do employers need to satisfy
business needs in the geospatial industry
to support innovation and growth?
In a recent study conducted by the
Human Capital Institute, over 400
employers reported "low supply of people
with specialized skills" and "quality
of the talent pool" as the most significant
barriers to recruiting and retaining
talent within their areas. Employers
report that people with degrees related
to computer science and electronic
communications will be the most difficult
to find. Organizations cannot wait
for a workforce crisis to develop the
human capital needed. Ultimately, it is
commitments from organizations that
will make development materialize.
Human capital is an invisible asset in
organizations, but it does not have to
be an elusive asset. Human capital is
the collective knowledge and brainpower
of an organization. It is the facts
that are acquired through informal and
formal education that employees bring
to the table and the skills gained
through training and practice. It is the experience gained through
past successes and mistakes.
Human capital is the social
networks developed over the
years through relationships
between co-workers, colleagues
and customers.
The new reality for today's
innovative workplace is that
organizations need skilled
and talented people. Talented
people are the competitive
advantage of organizations
which is essential to an
organizations' success.
Human capital development
means the creation of a culture
that supports talent
development at every level
of the organization. Successful
organizations realize that
having the right people with
the right skills and knowledge
to help the organization
reach strategic goals is a
smart competitive advantage.
In order to have the talent a
geospatial organization
needs, key leaders must be
able to identify the knowledge,
skills and abilities
required to accomplish daily
work. To better define
geospatial workforce needs,
organizations need to know
what employees need to
know and be able to do. A
competency-based approach
to defining required skills is
particularly useful in technology-
oriented occupations
like geospatial oriented jobs.
A job task analysis is too
task-specific for jobs that
change quickly and often.
Solving today's workforce
issues requires new and
innovative methods and
techniques for this high
growth, high technology
industry.
GEOSPATIAL TECHNOLOGY COMPETENCY MODEL© (GTCM©)
Organizations and educational
entities "…can use the
Geospatial Technology Competency
Model© to describe
the kinds of workers needed
in the geospatial information
technology industry;
improve employee recruitment
and selection; manage
the performance of existing
employees; and design
geospatial information technology
training and education
programs and curricula"
(Gaudet et al., 2001, p. i). A
competency model was
needed to describe the kinds
of geospatial workers (work
roles) required, the products
and services they provide
(outputs/deliverables), and
the required knowledge,
skills and abilities (competencies)
that the industry
needs.
The knowledge, skills and
abilities that are identified,
along with the level of
expertise required for each
competency, provide a
framework for geospatial
technology curricula- academic
courses and programs,
as well as training programs.
In addition to being used as
a research framework for
training providers and academic institutions to use for creating
the most effective and efficient training
and education opportunities for the
geospatial industry, the GTCM© developed
at The University of Southern Mississippi
is a useful human resource tool.
The GTCM© provides research-based
competencies for hiring organizations
to use to make better recruitment and
selection decisions and to help better
manage their existing workforce by
using the model as a competencybased
performance management system.
Methodology -Industry stakeholders
from the private and public sector were
involved from the beginning of the
GTCM© development to help guide
research validity. Members of the
geospatial community reviewed the
scope of the study, revised role definitions
and outputs, and revised preliminary
competency menus. Focus groups
helped to further identify competencies,
outputs, and quality requirements
for the geospatial industry.
Role experts working in the geospatial
industry validated the geospatial
roles, competencies, outputs, and quality
requirements. Organizations across
the United States were represented in
this study.
Results -Twelve distinct work roles
were identified for the geospatial technology
industry: (1) Applications Development;
(2) Data Acquisition; (3) Data
Analysis and Interpretation; (4) Data
Management; (5) Management; (6)
Marketing; (7) Project Management; (8)
Systems Analysis; (9) Systems Management;
(10) Training; (11) Visualization;
and (12) Coordination. Four categories
of geospatial technology competencies
were identified as the required knowledge,
skills, and abilities to function in
each of the twelve roles: (1) technical;
(2) business; (3) analytical; and (4) interpersonal.
In addition to identifying 12
roles and 39 competencies, 138 key
products or services (outputs) resulting
from the work in each role were identified.
Results of the study included the
development of 12 role profiles that provide
the: role definition, outputs
unique to the role, quality requirements
for each output, competencies
required to function in a specific role,
the level of expertise required for each
competency, and the ethical challenges
for the work role. For a full report of the
Geospatial Technology Competency
Model© results, visit
http://www.geowdc.usm.edu.
Understanding geospatial work is
critical for individual development,
which in turn allows the organization
to strategically develop the talent needed
to compete in a global economy.
However, development does not occur
without focused efforts and resources.
One needs to analyse how ready is
one’s organization to embark on a talent
development mission that will
improve the geospatial workforce, and
what degree of "yes" can ones’s geospatial
organization answer to the following
questions in order to develop the
talent needed to prepare for the competitive
business future?
- Does your organization know what
knowledge skills and abilities employees
need to be successful in your workplace?
- Does you organization have a systematic
learning and development plan?
- Is your organization building partnerships
with educational institutions
at all levels, the public workforce
system, and economic development
representatives?
- Does the training in your organization
correspond to the employee's desired
future?
- Are performance problems accurately
diagnosed?
- Does your organization have Individual
Development Plans for employees that
are personal, meaningful and owned by
the person?
- Is your workplace one that includes an
atmosphere of interpersonal support
and innovation?
- Does your organization have an
accountability culture that supports
tracking and measuring the results of
training and performance improvement
initiatives?
When employees win, organizations win and the geospatial industry wins.
REFERENCES
- Gaudet, C. H., Annulis, H. M., & Carr, J.
C. (2003). Building the geospatial
workforce. Urban and Regional Information
Systems Association (URISA)
Journal, 15 (1), 21-30. Retrieved October
15, 2007, from http://www.urisa.org/Journal/protect/Vol15No1/gaudet.pdf
- Gaudet, C., Annulis, H., & Carr, J.
(2001). Workforce Development Models
For Geospatial Technology [Hattiesburg,
MS: University of Southern Mississippi
Geospatial Workforce Development
Center]. Retrieved October 15,
2007, from http://www.geowdc.com/research/wdm4gt.pdf