The Impact of Digital Transformation on Operational Efficiency and Strategic Decision Making in Industrial Companies
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The contemporary industrial organizations have made digital transformation a significant
competitiveness and innovation driver. This thesis will research on how digital transformation
affects the efficiency of operations and strategy formulation of industrial firms and explore the
obstacles to effective digital transformation. The study is a quantitative study that relies on a
structured questionnaire that will be sent to the employees of industrial companies. One hundred
valid responses were taken and processed with the help of statistical methods and descriptive
statistics, correlation analysis, regression analysis, and analysis of variance (ANOVA). The results
show that the digital transformation has a strong positive effect on the operational efficiency and
strategic decision-making. Those organizations that embrace the use of digital technologies,
including automation systems, data analytics, and integrated digital platforms, record higher
productivity, a more efficient workflow, and quality decisions. It is also indicated in the results
that digital tools facilitate data-driven strategic planning and make the process of decision-making
faster and more accurate. Nevertheless, the research points to a number of obstacles that adversely
affect the success of digital transformation, such as the unwillingness to change organisations, the
absence of digital skills, the lack of training, the financial factors and the challenges of integrating
the new systems with the old ones. On the whole, the research finds that digital transformation
could be used to improve organizational performance in industrial firms to a great degree, although
the strategy of its implementation, training of employees, and effective leadership support are
essential.