International Journal of e-Collaboration

Scope & Guideline

Unveiling Insights for Effective e-Collaboration

Introduction

Immerse yourself in the scholarly insights of International Journal of e-Collaboration with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN1548-3673
PublisherIGI GLOBAL
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2005 to 2024
AbbreviationINT J E-COLLAB / Int. J. e-Collab.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address701 E CHOCOLATE AVE, STE 200, HERSHEY, PA 17033-1240

Aims and Scopes

The International Journal of e-Collaboration focuses on the intersection of technology and collaborative practices across various domains, emphasizing the innovative use of digital tools to enhance communication, learning, and project management. The journal is dedicated to exploring how e-collaboration can improve efficiency and outcomes in educational, business, and technological contexts.
  1. E-Collaborative Technologies:
    Research on tools and platforms that facilitate collaboration among individuals and groups, including cloud computing, mobile applications, and social media.
  2. Artificial Intelligence in Collaboration:
    Exploration of AI applications in enhancing collaborative processes, such as intelligent tutoring systems, automated feedback mechanisms, and data-driven decision-making.
  3. Big Data and Analytics:
    Integration of big data analytics in understanding collaborative behaviors, improving educational outcomes, and optimizing organizational processes.
  4. Learning and Educational Technologies:
    Focus on the development and assessment of e-learning environments, blended learning methodologies, and the impact of technology on educational practices.
  5. Interdisciplinary Approaches:
    Encouragement of research that crosses traditional boundaries, applying collaborative computing concepts to fields such as healthcare, finance, and environmental studies.
Recent publications in the International Journal of e-Collaboration highlight several emerging trends that indicate a growing interest in innovative technologies and their applications in collaborative environments.
  1. Artificial Intelligence and Machine Learning:
    A significant increase in research related to AI and machine learning applications in education and collaboration, reflecting the demand for intelligent systems that enhance learning and project outcomes.
  2. Big Data Utilization:
    Emerging themes surrounding the use of big data analytics to inform decision-making processes, understand collaborative patterns, and optimize educational practices.
  3. Interdisciplinary Collaboration:
    An upward trend in studies that examine interdisciplinary collaboration, particularly how different fields can integrate e-collaboration technologies to solve complex problems.
  4. Sustainable Development and E-Collaboration:
    Growing interest in how e-collaboration can contribute to sustainable development goals, especially in areas like environmental education and community engagement.
  5. Health and Wellbeing Technologies:
    Increasing focus on e-collaboration technologies in health contexts, particularly in response to the COVID-19 pandemic and the need for remote healthcare solutions.

Declining or Waning

In recent publications, certain themes that were once prominent in the International Journal of e-Collaboration have shown a noticeable decline. This trend may reflect a shift in focus towards more contemporary issues or emerging technologies.
  1. Traditional E-Learning Models:
    There has been a noticeable decrease in research focused on conventional e-learning models, as the emphasis shifts towards more integrated and technology-enhanced learning approaches.
  2. Basic Collaborative Tools:
    Studies centered around basic collaborative tools (like simple document sharing) are becoming less frequent, replaced by more complex analyses involving AI and big data.
  3. Static Educational Frameworks:
    The focus on static educational frameworks without the integration of innovative technology or adaptive learning strategies is declining, as educators seek more dynamic and responsive systems.

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