Akses terbuka Jurnal
The Role of Automation and IoT in Enhancing Operational Efficiency: Evidence from PLS-SEM Analysis
APTISI Transactions on Management (ATM) · Vol. 9 No. 1 (2025) · hlm. 72–81
- ISSN
- 2622-6804, 2622-6812
- Terbit
- 2025-01-29
- Penerbit
- Pandawan
- Bahasa
- en
Abstrak
In today's competitive business environment, operational efficiency is crucial for organizations to maintain a competitive edge. The integration of automation and the Internet of Things (IoT) has emerged as a transformative approach to streamline processes and enhance productivity. However, the synergistic impact of these technologies on operational efficiency remains underexplored. This study aims to evaluate the individual and combined effects of automation and IoT on operational efficiency. It seeks to provide empirical evidence on how these technologies contribute to optimizing workflows and decision-making processes. Methodology Using Partial Least Squares Structural Equation Modeling (PLS-SEM), data were collected from organizations across multiple industries. Constructs were measured through validated survey instruments, and hypotheses were tested for direct and synergistic effects. The findings indicate that automation significantly enhances operational efficiency by reducing errors and improving process consistency. IoT adoption complements this by enabling real-time insights and improved decision-making. The combined implementation of these technologies demonstrates a moderate synergistic effect, amplifying operational gains. This study underscores the transformative potential of integrating automation and IoT. By leveraging their complementary strengths, organizations can achieve higher levels of efficiency, providing valuable guidance for digital transformation strategies. In today's competitive business environment, operational efficiency is crucial for organizations to maintain a competitive edge. The integration of automation and the Internet of Things (IoT) has emerged as a transformative approach to streamline processes and enhance productivity. However, the synergistic impact of these technologies on operational efficiency remains underexplored. This study aims to evaluate the individual and combined effects of automation and IoT on operational efficiency. It seeks to provide empirical evidence on how these technologies contribute to optimizing workflows and decision-making processes. Methodology Using Partial Least Squares Structural Equation Modeling (PLS-SEM), data were collected from organizations across multiple industries. Constructs were measured through validated survey instruments, and hypotheses were tested for direct and synergistic effects. The findings indicate that automation significantly enhances operational efficiency by reducing errors and improving process consistency. IoT adoption complements this by enabling real-time insights and improved decision-making. The combined implementation of these technologies demonstrates a moderate synergistic effect, amplifying operational gains. This study underscores the transformative potential of integrating automation and IoT. By leveraging their complementary strengths, organizations can achieve higher levels of efficiency, providing valuable guidance for digital transformation strategies.
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- Universitas Raharja
- Health Information Management
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| Rekan penulis | Organisasi | Artikel bersama |
|---|---|---|
| Cicilia Sriliasta Bangun | Afiliasi tidak diketahui | 3 |
| Muhammad Rehan Anwar | Afiliasi tidak diketahui | 1 |
| Nuke Puji Lestari Santoso | Universitas Raharja | 1 |
| Nanda Septiani | Afiliasi tidak diketahui | 1 |
| Nuraini Diah Noviati | Afiliasi tidak diketahui | 1 |
| Fengki Eka Putra | Afiliasi tidak diketahui | 1 |
| Sadan Sadan | Afiliasi tidak diketahui | 1 |
| Tri Hartono | Afiliasi tidak diketahui | 1 |
| Bintang Nandana Henry | Afiliasi tidak diketahui | 1 |
| Lukita Pasha | Afiliasi tidak diketahui | 1 |
| Dwi Julianingsih | Afiliasi tidak diketahui | 1 |
| Suhandi Suhandi | Afiliasi tidak diketahui | 1 |
| Bayu Laksma Pradana | Afiliasi tidak diketahui | 1 |
| Gautam Khanna | Afiliasi tidak diketahui | 1 |
| Agung Rizky | Afiliasi tidak diketahui | 1 |
| Ihsan Nuril Hikam | Afiliasi tidak diketahui | 1 |
| Muhammad Farhan Kamil | Afiliasi tidak diketahui | 1 |
| Erlina Puspitaloka Mahadewi | Afiliasi tidak diketahui | 1 |
| Cicilia S. Bangun | Afiliasi tidak diketahui | 1 |
| Arop Ria S. Panjaitan | Afiliasi tidak diketahui | 1 |
| Sulthan Taqi Sampoerna | Afiliasi tidak diketahui | 1 |
| Rahul Bhandari | Afiliasi tidak diketahui | 1 |
| Andyani Sukmasari | Afiliasi tidak diketahui | 1 |
| Safiani A. Faaroek | Afiliasi tidak diketahui | 1 |
| Fachmi Tamzil | Health Information Management | 1 |
| Ulfania Eka Erlinda | Afiliasi tidak diketahui | 1 |
| Cicilia S Bangun | Afiliasi tidak diketahui | 1 |
| Ahmad Ramadan | Afiliasi tidak diketahui | 1 |
| Achani Rahmania Az Zahra | Afiliasi tidak diketahui | 1 |
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| Riya Widayanti | Afiliasi tidak diketahui | 1 |
| Eko Sigit Pramudito | Afiliasi tidak diketahui | 1 |
| Kamal Arif Al-Farouqi | Afiliasi tidak diketahui | 1 |
| Ramiro Santiago Ikhsan | Afiliasi tidak diketahui | 1 |
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