of R&D efficiency, production process optimization,
and service model innovation, forming a
differentiated competitive chain of ‘accurate R&D -
agile manufacturing - data-driven service’; on the
ecological level, digital transformation has broken the
industrial boundaries and built a new competitive
chain based on data assets and services. On the
ecological level, digital transformation has broken the
industrial boundaries, built a value network with data
assets as the core and multi-party collaboration, and
promoted the transformation of enterprises from
traditional equipment suppliers to comprehensive
service providers.
In summary, the application of digital tools has
the potential to drive value creation by improving
operational efficiency and financial resilience.
Furthermore, these tools can provide long-term power
for enterprises by upgrading customer experience,
sharing ecological value, and building strategic
barriers. The case of Airbus demonstrates that the
logic of digital transformation empowering enterprise
value creation is not purely a superimposition of
technology but rather lies in the systematic
reconstruction of business processes and optimization
of the resource allocation model, which ultimately
realizes the transformation of technological dividends
into sustainable business value. Its experience reveals
that digital transformation is a systematic innovation
of strategic thinking and business model, and
enterprises need to be based on long-term value
objectives, take customer demand as the traction, and
deeply integrate digital capabilities into the core value
chain so as to seize the first opportunity in the
industrial change.
Despite the systematic exploration of the impact
of digital transformation on value creation, as
exemplified by the Airbus case study, the study is not
without its limitations. Firstly, the research focuses on
top enterprises that have specificity. As a result, the
research conclusions lack universality for small and
medium-sized enterprises. Secondly, the long-term
economic effects and social impacts (e.g., changes in
the employment structure, technological and ethical
risks) of digital transformation have not yet been
sufficiently discussed. Thirdly, there is insufficient
empirical analysis of the value transformation paths
of quantum computing and other technologies. In the
future, it is necessary to expand the research on the
transformation paths of enterprises in multiple
industries and of different scales and, at the same
time, pay attention to the impact of technological
iteration on the governance model of the industrial
chain, as well as the synergistic mechanism between
digital transformation and the goal of carbon
neutrality. The purpose of this theoretical research is
to provide support for the construction of a more
inclusive and sustainable transformation paradigm.
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