Focus & Scope

Focus and Scope

The Journal of Information Technology, Management, Behaviour, and Analytics (JITMBA) is a peer-reviewed academic journal that aims to publish high-quality research articles at the intersection of information technology, management practices, human behavior, and data analytics. The journal provides a platform for academics, researchers, and practitioners to share new insights and innovations that bridge theory and practice in these interconnected fields.

Areas of Interest:

JITMBA encourages interdisciplinary research and welcomes submissions that explore the following broad areas:

1. Information Systems (IS)

This area examines the development, implementation, and management of information systems within organizations. Topics of interest include:

Design and development of information systems.
Enterprise systems and business process management.
Information system strategy and alignment with business goals.
IT infrastructure and architecture.
E-business, e-commerce, and digital platforms.
Information systems for decision support and knowledge management.

2. Information Technology (IT)

Research in this area focuses on the role and impact of information technology on organizations and society. Topics include, but are not limited to:

Adoption and diffusion of new technologies.
Digital transformation in businesses.
IT governance and risk management.
Cloud computing, AI, machine learning, and their applications.
Cybersecurity and privacy in the digital age.
Blockchain technology and decentralized systems.

3. Management

This section explores how information technology reshapes management strategies and operational processes. Topics of interest include:

IT-driven management practices and decision-making.
Strategic management and digital innovation.
Organizational change and IT implementation.
Leadership in technology-enabled environments.
IT project management and performance metrics.

4. Human Behavior and Technology Use

JITMBA emphasizes research on the behavioral aspects of technology use, focusing on how individuals and groups interact with information systems. Key topics include:

Technology acceptance and user behavior.
Human-computer interaction (HCI) and user experience (UX).
Psychological and social effects of technology adoption.
Digital literacy and competence in the workplace.
Behavioral economics and decision-making in digital environments.

5. Analytics and Data Science

The journal welcomes research on the application of data analytics and big data techniques to enhance decision-making processes and business performance. Topics include:

Predictive analytics and business intelligence.
Big data analytics for decision support systems.
Machine learning and artificial intelligence in business contexts.
Data-driven management strategies.
Data visualization and interpretation in organizational settings.

Research Types:

JITMBA publishes a variety of research types, including:

Empirical Studies: Quantitative and qualitative research based on original data.
Conceptual Papers: Theoretical frameworks that offer new perspectives or extend existing theories.
Case Studies: In-depth analyses of real-world examples illustrating the application of IT, information systems, management, behavior, or analytics.
Review Articles: Comprehensive literature reviews that identify trends, gaps, and future research directions.

Target Audience:

The journal serves a diverse audience, including:

Academics and researchers in information technology, information systems, management, and behavioral sciences.
IT professionals and managers seeking to understand the impact of technology and information systems on organizational practices.
Data scientists and business analysts focused on improving decision-making through analytics.
Policymakers and consultants interested in the socio-technical dynamics of technology adoption, digital transformation, and information systems.

JITMBA is committed to promoting cross-disciplinary dialogue and advancing the fields of information technology, information systems, management, behavior, and analytics through high-quality academic contributions.