1. Drivers of Research
There are companies that do not
have the awareness and the resources to become compatible to adapt the Industry
4.0 technologies.
·
Companies might find it
strategically tricky, and of little value to place themselves in one of the
first defined levels (i.e., ML 1) of existing maturity models.
·
Starting point is often a
disconnect from the average level of smartness (i.e., digitalization and
(smart) automation capabilities).
·
Companies that do not have the
awareness and the resources to become compatible to adapt the Industry 4.0
technologies. Therefore, it may be believed that there is a definite need of
specifying a ML-1 for SMEs that may separate their position from the other
advanced SMEs.
·
The awareness of digital technologies
that thus far have not been relevant to ML-1 businesses.
·
A company at ML-1 may need to
invest more in purchasing the required technology and set a platform for the
employee participation and organization culture
·
Showing a systematic
methodology leading towards Industry 4.0 may help motivating other companies to
move towards a company-specific Industry 4.0 vision
2.WHAT IS MISSING
·
Steps to evaluate the Industry
4.0 (and/or digitalization) readiness
·
Steps to achieve Industry 4.0
·
Readiness assessment for digitalization
·
Maturity model for digitalization
·
Readiness assessment advises
for digitalization (what to look at)
3. RESEARCH QUESTIONS
Q1: How automotive
manufacturing companies collaborate with external partners in terms of
gathering digital technology capabilities? (ML-1 to ML-5)
Q2: How can automotive manufacturing
companies overcome barriers for digitalization? (ML-1
to ML-5)
Q3: To what extend can
automotive manufacturing companies utilizes drivers for digitalization? (ML-1 to ML-5)
Q4: What is the
level of digitalization among automotive manufacturing companies (maturity)?
(ML-1 to ML-5)
Q5: How readiness
of automotive manufacturing companies affect the integration and adoption of digitalization
technologies? (ML-1 to ML-5)
4. MATURITY LEVEL OF
DIGITALIZATION – ASSUMPTIONS
·
Maturity Level 1 (ML-1): Process of digitalization has not
started yet or weak digitalization
activities are present
o
Barriers ağırlıklı
o
Drivers kullanılmıyor.
o
Weak collaboration
o
Vd.
·
Maturity Level 2 (ML-2):
Digitalization of organizational functions
o
Organizational barriers over comed
but prod. Barriers exists
o
Communication levels are not
mature
o
Collaboration under development
o
Vd.
·
Maturity Level 3 (ML-3):
Digitalization of organizational and production functions
o
Drivers are mature
o
Most barriers are overcomed
o
Collaborations developing
o
Vd.
·
Maturity Level 4 (ML-4): Digitalization across the value chain
o
Weak barriers
o
Strong drivers and motivations
of digitalization
o
Strong Collaborations
o
Vd.
·
Maturity Level 5 (ML-5):
Complete digitalization (Leyh et al.,
2016; Lichtblau et al., 2015)
o
No barriers at all
o
Drivers are effective
o
Strategic networks are formed
o
Vd.
5. RESEARCH HYPOTHESIS
H1: Integrating
more drivers for digitalization promote higher maturity for digitalization.
H2: Lowering the barriers for digitalization
increase readiness for digitalization.
H3: Readiness
for digitalization promotes adaptation of digitalization technologies.
H4: Higher
levels of collaboration increase the level of digitalization (maturity)
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