Technology Research Review: Advancing Interdisciplinary Scholarship in Technological Innovation, Digital Transformation, and Emerging Intelligent Systems
DOI:
https://doi.org/10.66348/trr.26.v1.n1.a45Keywords:
Technological innovation; Digital transformation; Artificial intelligence; Machine learning; Big data analytics; Cybersecurity; Internet of Things; Blockchain; Robotics; Smart manufacturingAbstract
The rapid evolution of modern technologies has transformed industrial systems, governance structures, and societal interactions, creating an urgent need for rigorous and interdisciplinary scholarly inquiry. The Technology Research Review (TRR), published by SPIDER Publishing, is an international peer-reviewed journal dedicated to advancing high-quality research in technological innovation, applied systems, and digital transformation. This editorial outlines the journal’s vision to serve as a global platform for theoretical, empirical, experimental, and applied research across diverse domains, including artificial intelligence, machine learning, big data analytics, cybersecurity, blockchain technologies, Internet of Things, robotics, smart manufacturing, and sustainable technologies. TRR emphasizes methodological rigor, originality, and real-world applicability while promoting cross-disciplinary integration among engineering, computer science, data science, and innovation studies. The journal also highlights emerging frontiers such as quantum computing, digital twins, advanced materials, and AI governance, while critically engaging with ethical, regulatory, and societal implications of technological advancement. By fostering research that bridges scientific discovery and practical implementation, TRR aims to contribute to sustainable, inclusive, and responsible technological progress globally. The editorial underscores the journal’s commitment to shaping a knowledge ecosystem that informs academia, industry innovation, and policy development in the era of digital transformation.
Received: 2026-04-15 | Revised: 2026-04-23 | Accepted: 2026-04-26 | Published: 2026-04-26
Funding: N/A.
Data Availability Statement: N/A.
Acknowledgments: N/A.
Conflicts of Interest: The authors declare no conflict of interest.
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Copyright (c) 2026 Md. Uzir Hossain Uzir (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.