Journal of Information & Knowledge Management

Scope & Guideline

Exploring the Dynamics of Information Management

Introduction

Welcome to the Journal of Information & Knowledge Management information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of Journal of Information & Knowledge Management, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN0219-6492
PublisherWORLD SCIENTIFIC PUBL CO PTE LTD
Support Open AccessNo
CountrySingapore
TypeJournal
Convergefrom 2002 to 2024
AbbreviationJ INF KNOWL MANAG / J. Inf. Knowl. Manag.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE

Aims and Scopes

The Journal of Information & Knowledge Management focuses on the intersection of information science, knowledge management, and technology. Its core aims are to advance research and practice in these areas, emphasizing innovative methodologies and applications.
  1. Knowledge Management Strategies:
    The journal investigates various strategies and frameworks for effective knowledge management in organizations, emphasizing the role of technology in facilitating knowledge creation, sharing, and retention.
  2. Information Technology and Big Data:
    A significant focus is on the integration of information technology and big data analytics in enhancing decision-making processes and operational efficiencies across sectors.
  3. Interdisciplinary Approaches:
    The journal encourages interdisciplinary research that combines insights from computer science, social sciences, and management studies to address complex challenges in knowledge management.
  4. Innovative Applications and Case Studies:
    It publishes case studies and applications of innovative technologies such as artificial intelligence, blockchain, and machine learning in knowledge management and information systems.
  5. Collaborative Learning and Knowledge Sharing:
    Research on collaborative learning environments and knowledge-sharing practices is a key area, exploring how social dynamics and technology influence collaboration among individuals and organizations.
Recent publications in the Journal of Information & Knowledge Management highlight several emerging themes that reflect current trends and future directions in the fields of information and knowledge management.
  1. Artificial Intelligence in Knowledge Management:
    Research on the application of artificial intelligence (AI) technologies in knowledge management is gaining momentum, focusing on how AI can enhance knowledge discovery, sharing, and retention.
  2. Blockchain Technology Applications:
    The exploration of blockchain technology for secure knowledge sharing and data management is an emerging theme, indicating a growing interest in decentralized solutions for information integrity.
  3. Impact of Digital Transformation:
    Studies assessing the impact of digital transformation on organizational knowledge management practices are trending, reflecting the necessity for organizations to adapt in a rapidly changing digital landscape.
  4. Data-Driven Decision Making:
    There is an increasing emphasis on data-driven decision-making processes, highlighting the importance of big data analytics in shaping effective knowledge management strategies.
  5. Sustainable Knowledge Management Practices:
    Research is increasingly focusing on sustainability in knowledge management, exploring how organizations can integrate sustainable practices into their knowledge management frameworks.

Declining or Waning

In recent years, certain thematic areas within the Journal of Information & Knowledge Management have shown a decline in publication frequency or relevance. This section outlines these waning scopes.
  1. Traditional Knowledge Management Models:
    There has been a noticeable reduction in papers focusing on traditional knowledge management models, as the field shifts towards more dynamic, technology-driven approaches.
  2. Static Data Management Approaches:
    Research centered on static data management techniques has declined, indicating a move towards more agile and adaptive data management practices in response to the evolving technological landscape.
  3. Non-Digital Knowledge Sharing Practices:
    Papers addressing non-digital or face-to-face knowledge sharing practices are becoming less prevalent, reflecting a broader trend towards digital transformation and remote collaboration.
  4. Basic Information Retrieval Techniques:
    The journal is seeing fewer studies on basic information retrieval techniques, as the focus shifts to more sophisticated methodologies involving machine learning and artificial intelligence.
  5. Generic Applications of Knowledge Management:
    There is a waning interest in generic applications of knowledge management without a specific technological or contextual focus, as scholars seek to explore more specialized and innovative applications.

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