• Internet and E-Commerce Architecture, Infrastructure, Models, Deployment Strategies and Methodologies.
• E-Business and E-Government Adoption.
• Mobile Commerce and their Applications.
• Applied Telecommunication Networks.
• Software Engineering Approaches, Methodologies, Techniques, and Tools.
• Applied Data Mining and Warehousing.
• Information Strategic Planning and Recourse Management.
• Applied Wireless Computing.
• Enterprise Resource Planning Systems.
• IT Education.
• Societal, Cultural, and Ethical Issues of IT.
• Policy, Legal and Global Issues of IT.
• Enterprise Database Technology.
• IT Effectiveness and Performance Management.
• Geographical Information Systems.
• IT Investment and Project Management.
• Knowledge Management and IT Transfer.
• Enterprise Application Integration.
• Information and Internet Security.
• Applied Aspects of Arabization.
• Agent Technologies and their Applications.
• IT and Organizational Change Management.
• Business Process, Modeling, Analysis, Re-engineering, and Management.
• Health Informatics.
• Neural Networks Applications.
• Emerging Technologies.
• Net-Centric Applied Computing.
• Applied Intelligent Systems.
• Quality and Performance Management Systems.
• IT Adoption in Public and Private Sectors.
• IT Outsourcing and Application Service Provider.
• Electronic Customer Relationship Management.
• Human and Educational Information Systems.
• National Information Plans and Policies.
• Interdisciplinary Issues.
Aslib Journal of Information Management provides key insights into the latest international developments in the research and practice of information management and information science
The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic.The journal will accept papers on foundational aspects in dealing with big data, as well as papers on specific Platforms and Technologies used to deal with big data. To promote Data Science and interdisciplinary collaboration between fields, and to showcase the benefits of data driven research, papers demonstrating applications of big data in domains as diverse as Geoscience, Social Web, Finance, e-Commerce, Health Care, Environment and Climate, Physics and Astronomy, Chemistry, life sciences and drug discovery, digital libraries and scientific publications, security and government will also be considered. Occasionally the journal may publish whitepapers on policies, standards and best practices.Benefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com.