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International Journal of Information and Decision Sciences - Inderscience | 2024 Cite Score:0.9 | Q4

International Journal of Information and Decision Sciences With Cite Score

Cite Score and Journal Rank of International Journal of Information and Decision Sciences

  • About: The International Journal of Information and Decision Sciences is a peer-reviewed academic journal that focuses on the interdisciplinary study of information systems, decision sciences, and their applications in various fields. The journal aims to provide a platform for researchers, practitioners, and policymakers to disseminate high-quality research that advances the understanding of how information systems and decision-making processes can be optimized in both theoretical and practical contexts.
  • Objective
    The primary objective of the journal is to publish original research articles, reviews, case studies, and theoretical papers that contribute to the development of methodologies, models, and tools in information and decision sciences. The journal seeks to bridge the gap between theory and practice by encouraging submissions that address real-world problems and provide solutions applicable to various industries and sectors.
  • Topics Covered
    The International Journal of Information and Decision Sciences covers a broad range of topics, including but not limited to: Decision support systems (DSS) Data mining and knowledge discovery Business intelligence and analytics Information systems management Decision-making under uncertainty Optimization and simulation techniques Artificial intelligence and machine learning in decision-making Multi-criteria decision analysis (MCDA) Risk management and decision analysis Human decision-making and behavioral aspects Information systems design and implementation
  • Interdisciplinary Approach
    The journal encourages interdisciplinary research that integrates concepts and methods from information systems, decision sciences, operations research, management science, and related fields. It welcomes studies that explore the interaction between technology and decision-making processes, and how these interactions can be leveraged to improve organizational performance and decision quality.
  • Impact and Significance
    The International Journal of Information and Decision Sciences plays a significant role in advancing the field by publishing cutting-edge research that addresses both theoretical advancements and practical applications. The journals contributions help shape the future of decision sciences and information systems, influencing academic research, industry practices, and policy development.
  • Submission and Review Process
    The journal follows a rigorous peer-review process to ensure the publication of high-quality research. Submissions are evaluated based on their originality, significance, methodological rigor, and relevance to the field. The journal invites contributions from researchers, academics, and professionals who are engaged in the study of information and decision sciences.

  • Editor-in-Chief:  Prof. John Wang

  • Scope: The International Journal of Information and Decision Sciences (IJIDS) is a peer-reviewed academic journal dedicated to advancing the understanding and application of information systems, decision sciences, and their intersection. The journal provides a platform for researchers, academics, and professionals to share innovative research, methodologies, and applications in the fields of information and decision sciences.
  • Information Systems:
    Information System Design and Implementation: Research on the design, development, and implementation of information systems, including database management, software engineering, and system architecture.
  • Data Management and Analytics: Studies focusing on data warehousing, data mining, big data analytics, and the use of information systems for data-driven decision-making.
  • Enterprise Information Systems: Exploration of the role of information systems in enterprise resource planning (ERP), customer relationship management (CRM), and supply chain management (SCM).
  • Decision Sciences:
    Decision Support Systems: Research on the development and application of decision support systems (DSS) that assist in complex decision-making processes across various industries.
  • Multi-Criteria Decision Analysis (MCDA): Studies on methodologies and frameworks for evaluating and prioritizing multiple conflicting criteria in decision-making.
  • Risk and Uncertainty in Decision-Making: Exploration of decision-making under conditions of risk and uncertainty, including methods for risk assessment and management.
  • Business Intelligence and Analytics:
    Predictive and Prescriptive Analytics: Research on the use of statistical and machine learning models to predict future trends and prescribe actions based on data insights.
  • Data-Driven Decision-Making: Studies on how organizations use data analytics and business intelligence tools to inform strategic and operational decisions.
  • Performance Measurement and Management: Research on metrics and methods for evaluating and improving organizational performance using decision science approaches.
  • Information and Communication Technology (ICT) in Decision-Making:
    E-Government and Public Sector Decision-Making: Exploration of the role of ICT in enhancing decision-making processes in government and public administration.
  • ICT for Development (ICT4D): Research on the use of information and communication technologies to support decision-making and development initiatives in emerging economies.
  • Digital Transformation: Studies on the impact of digital transformation on decision-making processes within organizations and industries.
  • Knowledge Management and Decision Support:
    Knowledge-Based Systems: Research on systems that capture, store, and apply organizational knowledge to improve decision-making processes.
  • Expert Systems and Artificial Intelligence: Studies on the application of AI and expert systems to enhance decision support in complex environments.
  • Collaborative Decision-Making: Exploration of tools and methods that support group decision-making and collaboration in organizations.
  • Applications in Various Sectors:
    Healthcare Decision-Making: Research on the use of information systems and decision sciences in healthcare for improving patient care, resource allocation, and clinical decision-making.
  • Financial and Economic Decision-Making: Studies on decision-making in finance and economics, including investment analysis, portfolio management, and economic forecasting.
  • Manufacturing and Supply Chain Decisions: Research on optimizing decision-making processes in manufacturing and supply chain management using information systems and decision sciences.
  • Methodological Innovations:
    Modeling and Simulation: Studies on the use of mathematical modeling and simulation techniques to represent and analyze decision-making scenarios.
  • Optimization and Heuristics: Research on optimization techniques and heuristic methods for solving complex decision problems in various domains.
  • Quantitative and Qualitative Methods: Exploration of the integration of quantitative and qualitative methods in information and decision sciences research.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  1756-7017

    Electronic ISSN:  1756-7025

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:   Business, Management and Accounting,Management of Technology and Innovation,Strategy and Management,Computer Science,Computer Science Applications

  • Publication Frequency:  

  • H Index:  18

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  

    Q4:  Information Systems and Management

  • Cite Score:  0.9

  • SNIP:  0.237

  • Journal Rank(SJR):  0.162