International Journal of Engineering Technologies and Management Research

The International Journal of Engineering Technologies and Management Research (IJETMR) is an open-access, peer-reviewed monthly journal devoted to integrated techno-managerial research. Its aim is to advance knowledge at the intersection of engineering technologies, management practices, and data-driven decision-making, showcasing work where technical innovation and managerial insight come together to solve real industrial, economic, and societal challenges.

IJETMR provides a global platform for researchers, practitioners, industry professionals, entrepreneurs, and policymakers to share original research, case studies, reviews, and practice-oriented papers that link engineering design and analysis with strategic, operational, financial, and organisational perspectives. By doing so, the journal actively bridges research and industrial developments and supports evidence-based decisions in technology-intensive environments.

IJETMR welcomes interdisciplinary contributions that integrate engineering technologies and management research, including (but not limited to):

• Techno-Managerial Systems and Industry 4.0
  Smart manufacturing, automation, IoT, robotics, cyber-physical systems, and their implications for productivity, organisation design, workforce transformation, and industrial strategy.
• Operations, Supply Chain and Logistics Analytics
  Modelling, optimisation and simulation of production systems, inventory, transportation, and service operations, combined with performance measurement, risk management, and cost/benefit analysis.
• Technology, Innovation and Project Management
  Management of R&D, product and process innovation, technology adoption, digital transformation, engineering project planning and control, lifecycle management, and project governance in technology-driven contexts.
• Sustainable Engineering and Business Practices
  Environmentally responsible technologies, energy and resource efficiency, circular economy models, sustainable construction and manufacturing, and their links with policy, regulation, and corporate sustainability strategies.
• Data, AI and Decision Sciences in Techno-Management
  Application of statistics, AI, machine learning, optimisation, forecasting, and decision-support systems to engineering, operations, marketing, finance, HR, and strategic management problems.
• Customer, Market and Financial Perspectives in Technical Contexts
  Technology-enabled services, product and service quality, branding and customer experience in engineered products and services, pricing, investment decisions, techno-economic feasibility, and performance evaluation.

Submissions may include original research articles, review papers, case studies, technical notes, short communications, and rigorously reviewed conference papers, provided they clearly demonstrate the integration of engineering/technology and management thinking. All articles undergo an initial editorial screening followed by a rigorous double-blind peer-review process before publication.