Aims and Scope

Aim and Scope

Journal of Information Technology Management is a peer-reviewed journal with the aim of developing administration knowledge and also identifying the management problems in organizations and find solutions. JITM is the science and art of managing the use of information technology in organizations for providing value to stakeholders. The journal welcomes conceptual and original research papers describing mature works on Managerial Approaches in Information Technology, Enterprise-Oriented Solutions, and Information System Development.

 

Major topics

The scope of the journal has expanded so as to account for all facets of Information Technology while emphasizing its specificity at bridging the gap between the Information Technology and Management Science. The journal scope covers the academic and empirical studies on Information Technology with an orientation toward managerial approaches and guidelines. The areas of interest include in following subjects, but are not limited to:

 

Managerial Approaches in Information Technology:

  • Managerial Implications of Information Systems Implementation
  • IT Implications for Change Management
  • IT Project Management (ITPM)
  • Virtual and Networked Organizations
  • Social Networks
  • Information Technologies and Social Organization
  • Organizational IT governance and control
  • Organizational Learning (OL)
  • Human-Computer Interaction (HCI)
  • Ethics of Information Technology
  • IT-Based Learning and Training including
  • e-Learning, Blended Learning, and so on
  • Information Management
  • Information Resources Management
  • Knowledge Management including
  • Knowledge creation / Capture / Elicitation / Acquisition / Processing / Compaction/ Storage / Retrieval / Sharing / Application / Performance
  • E-Governance
  • Information Systems Research Method Development
  • Information Systems and Business Strategy Alignment
  • Cognitive Aspects of Artificial Intelligence (AI)
  • Innovative Applications of IT
  • Global and Cross-cultural Issues of IT
  • IT impacts on nature (Green IT)
  • The impact and significance of Emerging Information Technologies
  • Futuristic IT Innovations

Enterprise-Oriented Solutions:

  • Business Process Redesign
  • Business and Customer IT interactions (B2B, B2C, C2B, C2C)
  • Electronic Business (e-Business)
  • Electronic Commerce (e-Commerce)
  • Electronic Government (e-Government)
  • Enterprise Integration
  • Enterprise Information Portals
  • Management Information Systems
  • Enterprise Resource Planning
  • Customer Relationship Management
  • Supply Chain Management
  • Business Process Management
  • Knowledge Management System
  • Partner Relationship Management
  • Decision Support System (DSS)
  • Fuzzy / Intelligent Expert Systems
  • Inter-Organizational Systems (IOS)
  • Cloud Computing
  • Mobile Computing
  • Government Information Systems
  • Strategic Information Systems (SIS)
  • Applications of Artificial Intelligence (AI)
  • Legacy Information Systems

Information Systems Development:

  • Information Systems Development including:
  • Business Modeling, Requirement Management, System Analysis, Design, Implementation, Test, and Deployment
  • Software Validation and Verification Metrics
  • Software Development Methodologies (RUP, Agile, SCRUM, Xp, and so on)
  • Software Deployment Methodologies (AIM, Prince II, Signature, and so on)
  • Software Architecture
  • Service-Oriented Architecture (SOA)
  • Business Intelligence (BI) Concepts and Applications
  • Machine Learning
  • Automated Reasoning and Inference
  • Simulation Techniques and Systems 
  • Knowledge-Based systems
  • Computational intelligence including
  • Fuzzy logic, Neural Networks, Evolutionary Algorithms, Neuro-Fuzzy Systems, and other combinations of Computational Intelligence methods
  • Database Management Systems (DBMS)
  • Data Warehousing and Data Marts
  • Data, Text, and Web Mining
  • Data Visualization
  • Intelligent Information Retrieval
  • Intelligent Software Agents
  • Multi-Agent systems
  • Software Simulation
  • Natural language processing (NLP)
  • Real-time Intelligent Automation
  • Semantic Web
  • Grid Computing / Clustering
  • Pattern Recognition
  • Computer-Aided Virtual Environments (CAVE)