Inside
an
unpredictable
industrial
context
characterized
by
growing
complexity
and
market
specialization,
cleantech
companies
see
the
necessity
of
cooperating
with
one
another
in
order
to
face
together
an
ever-‐changing
market.
This
new
situation
leads
to
network
creation,
where
companies
are
able
to
draw
together
a
common
area
of
knowledge
and
competencies
beyond
their
industrial
boundaries.
These
reasons
point
out
the
importance
of
establishing
fruitful
and
far-‐reaching
partnerships.
However,
this
is
not
a
straightforward
step,
as
there
are
no
predefined
rules
for
the
identification
and
selection
of
potential
collaboration
partners.
Accordingly,
the
core
goal
of
the
thesis
focuses
in
the
appearance
of
an
unmet
need:
identifying
potential
collaboration
among
companies
performing
inside
a
changing
and
uncertain
technology
market.
In
order
to
satisfy
this
unmet
need,
the
present
paper
addresses
several
research
sub-‐questions,
which
guide
the
report
to
a
set
of
conclusions
that,
when
put
together,
enclose
a
global
perspective
that
can
inspire
the
formation
of
productive
partnerships
beyond
the
traditional
industrial
boundaries.
The
selected
methodological
approach
is
network
analysis,
a
method
that
finds
its
roots
in
graph
theory.
Hence,
multiple
network
graphs
are
analysed
throughout
the
thesis,
where
256
companies
that
are
members
of
the
Danish
organization
Copenhagen
Cleantech
Cluster
(CCC)
are
mapped
in
different
Knowledge
Networks
or
industrial
contexts.
To
this
effect,
this
paper
also
includes
a
study
of
the
interaction
of
the
former
companies
with
19
Danish
research
and
knowledge
institutions.
Through
these
network
maps
the
interaction
and
collaboration
possibilities
inside
the
Danish
Cleantech
Industry
are
foreseen
and
permit
the
extraction
of
conclusions
and
implications
for
practice
concerning
cleantech
companies,
research
and
knowledge
institutions
and
public
organizations.
