Investigating the Role of Cloud Computing in Enabling Digital Transformation in the Automobile Parts Manufacturing Sector
Authors
Bhavani Nakkala, Ramya
Issue Date
2024
Degree
MBA in Cloud Computing
Publisher
Dublin Business School
Rights holder
Rights
Abstract
This all-round analysis examines the role of cloud computing in guiding digital transformation across our car parts manufacture industry. The study, intended to help them understand the diverse nature of cloud technologies in terms of how they transform operational processes and fit in with wider digital transformation initiatives. The study takes a systematic approach, combining quantitative and qualitative analysis methods with the main statistical evaluation method being SPSS.
Other important observations include that cloud computing is very helpful for improving operational efficiency, costs and innovation as well as effectively managing the supply chain. However, these ben efits are accompanied by difficulties in adapting manpower and integrating organizations-such is the double face of technological development. In addition to the above, research on cloud computing is trying to shed light onto its strategic significance. The paper emphasizes that cloud characteristics promote service transformation, and suit Industry 4.0 concepts well.
The possible policy implications include the pursuit of strategic frameworks covering technological use, workforce training, and data security. Limitations and recommendations The report points out that the first shortcoming of its study is that it has been limited to large Czech companies, while in fact small and medium-sized enterprises form a far more important element.
In sum, the study adds fresh perspectives on cloud computing's role in industrial digital transformation that can help researchers and practitioners alike. This highlights the need for a rational perspective on how best to introduce these cloud technologies, which are changing in rapid succession. Both their revolutionary potential and mission critical complexities put them at opposite ends of the scale.