INFORMATION PROCESSING & MANAGEMENT

Scope & Guideline

Elevating Standards in Information Systems Scholarship

Introduction

Explore the comprehensive scope of INFORMATION PROCESSING & MANAGEMENT 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 INFORMATION PROCESSING & MANAGEMENT in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN0306-4573
PublisherELSEVIER SCI LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1975 to 2025
AbbreviationINFORM PROCESS MANAG / Inf. Process. Manage.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address125 London Wall, London EC2Y 5AS, ENGLAND

Aims and Scopes

The journal 'Information Processing & Management' focuses on the intersection of information science and technology, emphasizing the development and application of innovative methodologies for processing and managing information. It aims to foster interdisciplinary research that enhances the understanding of information systems and their societal impacts.
  1. Information Retrieval and Management:
    The journal explores advanced techniques in information retrieval, including algorithms and systems designed to enhance the efficiency and effectiveness of information access and management.
  2. Data Analytics and Knowledge Discovery:
    Research on data analytics methods, including machine learning and artificial intelligence, aimed at extracting meaningful insights from large datasets is a core focus area.
  3. Human-Computer Interaction:
    The journal addresses the dynamics of human interaction with information systems, emphasizing user experience, usability, and the design of user-centric systems.
  4. Social Media and Online Behavior:
    Studies on the impact of social media on information dissemination, user behavior, and the spread of misinformation are key areas of investigation.
  5. Privacy and Security in Information Systems:
    Research related to privacy-preserving technologies and security measures in managing sensitive information is increasingly relevant in today's digital landscape.
  6. Interdisciplinary Applications of Information Science:
    The journal encourages research that applies information science principles to various fields, including healthcare, education, and social sciences.
The journal 'Information Processing & Management' has seen a shift towards innovative and emerging themes in recent publications. These trends reflect the evolving landscape of information science and the increasing integration of technology in various domains.
  1. AI and Machine Learning Applications:
    There is a growing emphasis on applying AI and machine learning techniques to enhance information processing, predictive analytics, and automated decision-making.
  2. Multimodal Data Integration:
    Research focusing on the integration of diverse data types (text, images, audio) for comprehensive analysis and understanding is gaining traction.
  3. Ethics and Fairness in AI:
    Increasing concerns about bias, fairness, and ethical implications of AI technologies in information systems are becoming central topics of discussion and research.
  4. Blockchain Technology for Data Management:
    The exploration of blockchain and decentralized technologies for secure data management and transparency is emerging as a significant area of interest.
  5. User-Centric Design in Information Systems:
    There is a notable trend towards designing information systems that prioritize user experience and engagement, reflecting a shift towards more user-centric methodologies.
  6. Social Media Analytics:
    Research on leveraging social media data for insights into public opinion, misinformation detection, and behavioral analysis is increasingly prominent.

Declining or Waning

While 'Information Processing & Management' maintains a broad scope, certain themes have shown signs of declining prominence in recent years. This section highlights those areas that are becoming less prevalent in the journal's publications.
  1. Traditional Library Science:
    The focus on traditional library science topics, such as cataloging and classification, has diminished as the field shifts towards more technology-driven approaches to information management.
  2. Static Information Systems:
    Research centered on static information systems that do not leverage real-time data processing or dynamic analytics is less frequently represented in recent publications.
  3. Manual Data Processing Techniques:
    As automated and AI-driven methods gain traction, studies on manual data processing techniques and their effectiveness are becoming less common in the journal's offerings.
  4. Descriptive Studies of Information Behavior:
    While understanding information behavior remains important, purely descriptive studies without a methodological or technological innovation are less frequently published.

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