Journal of Industrial Information Integration

Scope & Guideline

Fostering Innovation through Scholarly Excellence

Introduction

Explore the comprehensive scope of Journal of Industrial Information Integration through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore Journal of Industrial Information Integration in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN2467-964x
PublisherELSEVIER
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationJ IND INF INTEGR / J. Ind. Inf. Integr.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

The Journal of Industrial Information Integration focuses on the intersection of industrial engineering, information technology, and systems integration, aiming to provide innovative solutions and methodologies that enhance industrial processes and operations.
  1. Industrial Internet of Things (IIoT):
    Research in this area explores the integration of IoT technologies in industry, focusing on data collection, real-time monitoring, and automation to enhance operational efficiency and decision-making.
  2. Digital Twins and Cyber-Physical Systems:
    The journal emphasizes the development and application of digital twins and cyber-physical systems for modeling, simulation, and monitoring of industrial processes, enabling predictive maintenance and optimization.
  3. Blockchain Technology in Industry:
    This scope encompasses studies on the application of blockchain for improving transparency, security, and efficiency in supply chains, manufacturing processes, and data integrity.
  4. Artificial Intelligence and Machine Learning:
    Research includes the application of AI and machine learning techniques for predictive analytics, process optimization, and decision support in various industrial sectors.
  5. Sustainable Manufacturing and Eco-design:
    The journal covers methodologies and frameworks aimed at promoting sustainability in manufacturing processes, including resource efficiency, waste reduction, and lifecycle assessment.
  6. Robotics and Automation:
    This area focuses on the integration of robotics and automation technologies in manufacturing and logistics, addressing challenges in human-robot collaboration and automated systems.
  7. Data Integration and Information Systems:
    Research on frameworks and methodologies for effective data integration across various industrial systems, enabling enhanced data-driven decision-making.
The Journal of Industrial Information Integration is witnessing a rise in specific themes that reflect current technological advancements and industry needs. These emerging scopes are indicative of the journal's alignment with modern industrial challenges and innovations.
  1. Artificial Intelligence and Machine Learning Applications:
    There is an increasing emphasis on the application of AI and machine learning across various industrial sectors for enhanced decision-making, predictive maintenance, and smart manufacturing.
  2. Digital Transformation and Industry 4.0:
    Research focusing on digital transformation initiatives under the Industry 4.0 paradigm is gaining traction, highlighting the integration of advanced technologies and practices in industrial settings.
  3. Blockchain and Distributed Ledger Technologies:
    The exploration of blockchain applications in enhancing transparency, security, and efficiency in supply chains and industrial operations is a rapidly growing area of interest.
  4. Sustainability and Green Manufacturing Practices:
    Emerging research on sustainable practices within manufacturing is increasingly prevalent, focusing on eco-design, resource efficiency, and reducing environmental impacts.
  5. Cybersecurity in Industrial Systems:
    With the rise of digital technologies, there is a growing focus on cybersecurity measures within industrial systems, addressing vulnerabilities and enhancing data protection.
  6. Human-Robot Collaboration:
    The integration of collaborative robots (cobots) in manufacturing processes is a trending theme, emphasizing the need for efficient human-robot interaction and workflow optimization.

Declining or Waning

While the journal has a diverse range of topics, certain themes have shown a decline in prominence over recent years. This shift suggests a potential reorientation of research focus within the journal.
  1. Traditional Manufacturing Processes:
    There has been a noticeable decline in papers focusing solely on traditional manufacturing processes without the integration of advanced technologies, reflecting a shift towards more innovative and digitally-driven methodologies.
  2. Basic Supply Chain Management:
    Research specifically targeting basic supply chain management concepts has waned, as the journal increasingly leans towards more complex, technology-enhanced supply chain solutions involving IoT and blockchain.
  3. Conventional Quality Control Methods:
    Papers discussing conventional quality control methods are becoming less frequent, indicating a transition towards smarter, data-driven quality assurance practices that leverage AI and machine learning.
  4. Single-Technology Applications:
    There is a decreasing number of studies focusing on single-technology applications without integration, as multidisciplinary approaches become more favored in addressing industrial challenges.

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