Abstract
This research aims to investigate the role of Industry 4.0 in the production and service sector in Pakistan. It therefore considers five Industry 4.0 factors, namely big data, smart factory, cyber physical systems (CPS), Internet of things (IoT), and interoperability. In order to analyze the role of Industry 4.0, the textile industry is taken as a production industry, while the logistics industry is considered as a service industry. Both are facing various challenges in production and services causing below standard overall performance. To address this issue, a quantitative research approach with cross-sectional research design was selected. First hand data was collected through a survey questionnaire from a total of 224 employees of textile and logistics companies. Smart partial least square-structural equation modeling (PLS-SEM) was preferred to analyze the collected data. Findings of the study revealed that Industry 4.0 has a key role in promoting the production and services sector in Pakistan, as it has a significant impact on the overall performance of the considered sectors. This research is one of the pioneer studies that examines the role of Industry 4.0 on the textile and logistics industry of Pakistan. Thus, this research also contributes in a practical dimension by explaining the implementation of Industry 4.0 for improving the performance of the textile and logistics industries.
Highlights
Industry 4.0 is a name given to the recent tendency of automation, as well as data exchange, in various manufacturing technologies
The current research focused on the role of Industry 4.0 on the production and services sector of Pakistan
Data was collected from operational level employees (Managers) of the textile and logistics industry through a survey questionnaire
Summary
Industry 4.0 is a name given to the recent tendency of automation, as well as data exchange, in various manufacturing technologies. It comprises of cyber physical systems, cognitive computing, cloud computing, and the Internet of things. Most of the progressive methods of modern enterprise performance management share a strong strategic orientation of management focused on further business development. These progressive methods use highly sophisticated knowledge resulting from modern enterprise information technology, such as business intelligence, or the latest big data
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