Transforming Smart Manufacturing: The Pivotal Role of IOT and Data Integration in Enhancing Operational Efficiency in Manufacturing Sector

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Authors: Saleh K. Alokdeh, Ibrahim Al-Sulaiti, Fanar Shwedeh, Haitham M. Alzoubi, Gouher Ahmed
Cited by: 2
References: 26

Abstract

This research explores Internet of Things’ (IoT) impact on smart manufacturing (SM), with a focus on data integration (DI) in mediating effect. Adoption of IoT through connectivity, automation and real-time monitoring positively impacts agility, sustainability and operational efficiency, driving advancements in the modern manufacturing processes. To evaluate the aforesaid, a quantitative research design has been employed, following a positivist philosophy to test the presented hypotheses through statistical analysis. Data collection is accomplished by using structured questionnaires with a five-point Likert scale to target data specialists and supply chain managers from Dubai’s manufacturing organisations. A sample size of 150 respondents from 790+ manufacturing organisations is selected via purposive sampling. The questionnaires captured perspectives on DI practices (data sharing, centralisation and accuracy), SM outcomes (efficiency, cost optimisation, flexibility and sustainability) and IoT adoption. Ethical considerations, involving anonymity are maintained throughout the process of data collection. The findings confirm significant impact of IoT’s adoption on SM, with DI as key mediator. Integrated data systems enable IoT to unlock operational improvements, enhanced decision-making and risk reduction. This research further extends insights into how manufacturers can maximise potential of IoT by implementing DI strategies effectively. It highlights how centralised and accurate data improves agility, promotes sustainable growth and optimises production processes.

Fields of Study & Subjects

Organizational and Employee Performance Digital Transformation in Industry Big Data and Business Intelligence

Publication details

Journal / source
Integrating 4IR and 5IR Technologies for Digital Business Innovation
Publisher
Emerald Publishing Limited
Pages
221–233
Publication date
5 January 2026
Language
EN
Document type
Book chapter