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- View The Talks
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2. Designing online surveys for business research
- Dr. Joseph Martelli
-
3. Communicating research
- Mr. Tony Greener
-
4. Business research ethics
- Dr. Sue Greener
-
5. Searching for literature in unfamiliar fields
- Mr. Asher Rospigliosi
-
6. Data science and industry research
- Dr. Shirley Coleman
-
7. Mixed methodologies in business research
- Dr. Anne Daguerre
Printable Handouts
Navigable Slide Index
- Introduction
- Information technology (IT)
- Enterprise resource planning (ERP)
- Introduction to customer experience and satisfaction
- Designing and executing a customer satisfaction survey
- Sampling terminology
- Identifying and reaching customers
- Collecting data from customer base
- Critical aspects of survey design
- Aldi introduction
- Aldi’s corporate strategy, vision, mission
- Aldi survey
- Tell Aldi Survey - Step-by-step
- Aldi Partners
- System Integration
- Thank you
This material is restricted to subscribers.
Topics Covered
- Customer base
- Aldi
- Enterprise resource planning
- Information technology
- Customer relationship management
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Talk Citation
Martelli, J. (2022, October 30). Designing online surveys for business research [Video file]. In The Business & Management Collection, Henry Stewart Talks. Retrieved December 26, 2024, from https://doi.org/10.69645/WGAH3335.Export Citation (RIS)
Publication History
Transcript
Please wait while the transcript is being prepared...
0:00
Hello, I'm Dr. Joseph Martelli,
a Professor of Business at
the University of Findlay
in Findlay, Ohio.
Previously, I served as
a research scientist at
the Industrial
Technology Institute
at the University of Michigan.
I also have several years of
management and
consulting experience in
the corporate world,
and I've designed and
conducted many surveys
during my career.
0:24
Today, we're going to talk
about business survey design.
Much has changed over
the years and many of
the difficulties in
conducting survey research in
business has been
eliminated or simplified,
because of the simultaneous
and rapidly emerging
developments
in the field of
information technology,
IT, and enterprise
resource planning, ERP.
Information
technology focuses on
how to make information
systems operate
efficiently, and just
as important is about
helping people work better
throughout the organization.
Without information
technology, meaningful
survey research design in
an organization was
difficult to perform.
1:03
Today, enterprise
resource planning
has become partly
synonymous with how
an organization manages
day-to-day business activities
across multiple
functional areas,
such as accounting, finance,
procurement, marketing,
human capital, and even
customer relationship
management, CRM.
Enterprise resource
planning systems
digitally unite a multitude
of business processes and
enables the exchange
of data between them.
By collecting an
organization's shared
transactional data across
multiple functions,
ERP systems eliminate
data duplication,
ensure data integrity,
and expedite data dissemination
throughout the organization.
You may ask yourself why
you should care
about all of this
as it pertains to conducting
business survey research?
The answer is because to provide
the organization with
meaningful data,
whether it's about employees and
the internal environment of
the organization,
or its customers
and the external environment
of the organization,
survey research can no longer
be effectively done within
a vertical silo or within
a single functional structure
of the organization,
as it has traditionally
been done.
As we will discover
the cross-functional and
team-based approach,
often including external
vendor partners,
is essential in order to ensure
success of any
business endeavor.
No longer does anyone or
even everyone within
the vertical silo
in an organization have
all the knowledge and skills
necessary to successfully and
efficiently collect
business intelligence
to facilitate strategic,
tactical, and operational
business decision-making.
One of the other presentations
included in this HSTalk series,
it states that we're now in
the fourth industrial
revolution, or Industry 4.0.
Among other things,
it's characterized by
the increased importance of
data analytics in
decision-making.
This fourth
industrial revolution
enables machine to
machine interaction
using data with more
opportunities for
businesses to add value
through data science.
If you're charged with the
responsibility to provide
your organization with
business intelligence
through customer satisfaction,
or customer experience research,
then stay tuned and follow
through this presentation.