Week Nr. 10
After six weeks; I must conclude that it
took me longer than I had expected it to get into the project. It is certainly due
to the home office circumstances and consequently thereof the unavailability of
quick check-ups, excess to material and longer waiting periods for feedback.
Nonetheless, I adjusted myself somehow to this new way of working and conducted
a literature research during the last weeks. Moreover, I developed a framework
for my interviews based on the literature research results, compiled a list of
possible partners and created an interview guideline. This week I am contacting
all potential interviewees while continuing to write the theoretical and methodology
part of the final paper.
Apart from my own project work, the
internship offered me the chance to get an insight into the complexities and
challenges of a multilingual trans- and interdisciplinary project. I took part
in several phone calls and online workshops by the institute and its project
partners. To an extent his complexity also partly influenced my field study and
therefore I want to share some reflections upon this:
For the digital tracking solution, I collaborate
with a Tech-Start-up. It took me a while to realize that there is only a
limited overlap between their interests and my scientific oriented approach in
the project. Together we brainstormed a list of questions for laundry companies
which turned out to be too specific for my scientific research. It is the
method of material collection that bears the biggest challenges: while companies
just ask for information if its needed via a spontaneous phone call or a mail
without any methodological basis, the information gathering process has to be
more theoretically consolidated in a scientific study in order to ensure reliability
and validity. That means a seamless documentation and a clear and single method.
From a scientific point of view companies use a method and material mix as a
basis for the decision-making process. While in research one tries to avoid these
method mixtures to reduce the complexity and factors that could distort the
results.
Withal another difference between a cooperate
and a scientific way of working is the pace, while research is an iterative process,
companies need to make pragmatic and fast decisions due to the time-pressure
which is sometimes not the best in terms of a logical argumentation. Furthermore,
I observed a language problem, often terms are used differently in different
branches, in a scientific or in an industrial context. Moreover, firms tend to
use something that I would call “marketing language” which aims to sell a
product or a service, including less numbers or profound facts rather than addressing
the emotions of the counterpart. This way of information sharing contributes to
the slow speed in those science-industrial collaborations because both sides
have a lack of understanding what information quality is needed and how the information
could be useful for other partners within the project.
My biggest learning during that internship
is that science and enterprises have a different way of gathering information
and it needs a strong moderator to constantly create a space of mutual
understanding to turn collaborations into a fruitful outcome for both sides.
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