Research whether that automation does really put fear

Research design


Literature Review

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The research is about how employees perceive automation and
do they view it as a boon or a creeping but a sure factor that will put them
out of a job? These are the questions that we are trying to find out in our
research and data collection and to finally find out whether that automation
does really put fear in the hearts of current employees and in what ways does
it affect them.

In the research we are trying to find out do employees
really find out if they really do fear automation replacing their jobs, or do
they find it a convenience because as humans automation is an inevitable
consequence, as it is in out nature that we find the path of least resistance.

Keep in mind that some countries are more open to
automation than other countries such as Sweden as cited here “recent
survey by the European Commission found that 80 percent of Swedes
have a positive view of robots and AI. Why such enthusiasm? Swedish citizens
tend to trust that their government and the companies they work for will take
care of them, and they see automation as a way to improve business efficiency.
Since Swedish employees actually do benefit from increased profits by getting
higher wages, a win for companies is a win for workers.”

“Communication will be key to the successful
implementation of automation, according to Matkin. “It is vital that
organizations clearly communicate what their automated business would look like
with their employees,” she said. “This should include how it will affect their
role, the workplace and the possible benefits it presents. This could be in
terms of, for example, upskilling, further training and freeing up employee
time to focus on more creative, less menial activities”


Theory and Hypotheses


Existing studies have shown
that automation although slow is an inevitable process of any company, because
anyway to increase productivity any company, given time, will adopt those

But this a slow and expensive
process for any company to adopt and use it efficiently and effectively and to
its fullest potential, you might think that if a company adopts the latest
technology then they immediate increase productivity but no, it’s a time
consuming process as the each of the company employees has to trained to use of
the technology (such as Manipal Dubai and its recent implementation of LMS as a
current example).


People in theory would be
averse to change especially when it concerns with their job role but in fact
may add value or even make it more convenient and ergonomic, people were first
cautions of computers and it’s potential to make the world a smaller place and
increase to potential for global commerce, but now we cannot imagine a world
without computers and its impact on our daily lives be it small or large.

“The reality is, people fear
what they don’t understand. The mistake many organizations make when
implementing automation is to leave employees out of the loop. Not only does
this lack of communication breed fear of the unknown, but it also allows
legitimate questions to go unanswered and irrational concerns to go unaddressed”

“Whether they’re just
uncomfortable with change or they’re worried that the technology will make
their jobs redundant, without buy-in across the board, your automation
implementation project will be much more difficult than it has to be.
Thankfully with the right approach and some strategic planning, this fear of
automation can be overcome”


The Hypotheses


Do employees fear their jobs
being replaced because of automation?Or are those fears are based on unfounded statements
or news stories spreading unwanted fear and caution amongst employees of the
companies that push for automation.




Unit of analysis- Employees of any given company at any time or
employees that are available at that time.

Sample size-50

Dependent variable-
Employees that think they might lose their job
because of automation




Data collection


The data collection method that
is taken will be a survey method and this survey would be given to all
employees regardless of position, age and gender.The data in the above model
will then be analyzed using the statistical technique of linear regression.