Simulation for Management Analytics & Intelligence

AI-Enabled Simulation Platform for Management Education

Learn. Decide. Experience. Reflect. SIMAITM develops future managers through AI-powered business simulations, experiential learning, and research-driven pedagogy.

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About SIMAITM

SIMAITM Research Lab is an academic initiative dedicated to advancing AI-enabled simulation-based learning in management education. It is positioned as a research center first, with a platform that supports classroom use, pilot studies, faculty collaboration, and institutional partnerships.

Vision

Become a globally recognized centre for AI-enabled management education and simulation-driven pedagogy.

Mission

Advance management education through simulations, artificial intelligence, decision-learning research, and competency-based assessment.

Why SIMAITM

SIMAITM helps students move beyond memorizing frameworks by making decisions, experiencing consequences, reflecting on outcomes, and improving managerial judgment.

Why SIMAITM

The learning design shifts management education from passive evaluation to active decision learning.

Traditional Learning

LectureCase StudyExam

SIMAITM Learning

LearnAnalyzeDecideExperienceReflectImprove

Research Lab

The lab studies how AI, simulations, analytics, and decision-learning cycles can strengthen managerial competence and classroom outcomes.

SIMAITM Framework

A research framework for simulation-led management learning.

Decision Learning Cycle

Understand, analyze, hypothesize, decide, experience, reflect, and apply.

Competency Framework

Assessment models for decision quality, analytical thinking, and managerial judgment.

Learning Analytics

Data-driven insight into student choices, outcomes, adoption, and performance.

Simulation Engine

A reusable platform for AI-enabled business simulation scenarios.

Collaborations

Academic and industry partnerships for pilots, research, and dissemination.

Research Themes

SIMAITM supports conference papers, working papers, classroom pilots, and evidence-based pedagogical innovation.

AI-enabled Pedagogy

Research on responsible use of AI in management classrooms.

Business Simulations

Scenario design for strategic, functional, and cross-functional decisions.

Experiential Learning

Learning-by-doing models for applied management education.

Decision Intelligence

Improving judgment through structured decisions and feedback.

Competency Assessment

Mapping student choices to measurable managerial capabilities.

Learning Analytics

Using simulation data to understand learning progress and classroom impact.

Simulation Library

The simulation library is designed to expand across management disciplines while supporting classroom analytics and competency reports.

Business Analytics

Data interpretation, dashboarding, and decision support simulations.

Marketing

Customer insight, segmentation, pricing, and campaign choices.

Strategy

Competitive positioning, transformation, and long-term business decisions.

Finance

Budgeting, investment choices, financial trade-offs, and risk assessment.

Operations

Capacity, process, service quality, and operational resilience.

Human Resource

Talent, adoption, change management, and employee capability building.

Entrepreneurship

Opportunity evaluation, product-market fit, and venture decisions.

AI Management

AI transformation, data readiness, governance, and implementation choices.

Faculty Resources

SIMAITM is designed to support faculty with ready-to-use classroom simulations, analytics, research collaboration, and publication opportunities.

Become Research Partner

Why Faculty Join

  • Ready-to-use simulations for management courses.
  • Classroom analytics and assessment reports.
  • Teaching guides and pilot support.
  • Joint research and publication collaboration.
  • Workshops for AI-enabled pedagogy.

Research Publications

SIMAITM can host and organize scholarly outputs connected to simulation-based management education.

Conference Papers

Presentations and proceedings on SIMAITM frameworks, pilots, and outcomes.

Journal Articles

Peer-reviewed studies on AI-enabled pedagogy and management learning.

Working Papers

Early-stage research drafts and conceptual models.

Technical Reports

Documentation of platform design, learning analytics, and implementation.

Teaching Cases

Reusable classroom cases connected to simulation scenarios.

Join the Research Network

SIMAITM invites universities, faculty members, researchers, and industry partners to collaborate on pilots, publications, teaching cases, and simulation development.

Research Partners

  • Universities and business schools.
  • Faculty collaborators and researchers.
  • Industry partners for realistic scenarios.
  • Conference and publication collaborators.