Doctorate in AI and Technology Management - GMU, Italy

Glossary of Core Research Terms

What is Research?

Characteristics of Research

Research Process

Types of Research: The Taxonomy of Scholarly Investigation

Types of Research: Classification by Methodology and Design

Classification by Data Source – The Genesis of Empirical Evidence

Week 1.1: Activity

Week 1.1: Quiz

Choosing a Research Topic & Identifying Topics Based on Problems

Defining Your Research Problem & The Meaning of the Problem Statement

Evaluation of the Problem & Components of a Problem Statement

Formulating your Research Aim (Purpose Statement)

Formulating Research Questions and Objectives

Week 1.2: Activity

Week 1.2: Quiz

Research Methodology & Approaches to Finding a Topic

Research Philosophy (Paradigms and Worldviews)

Deductive vs. Inductive Research

Variables in Research

Components of a Research Title and Valid Doctoral Titles

Week 1.3: Activity

Week 1.3: Quiz

What is Quantitative Research & Meaning of Research Designs

Scales of Measurement

Types of Quantitative Research Designs

Sampling and Data Collection

Data Analysis Techniques & Application in the Real World

Week 1.4: Activity

Week 1.4: Quiz

Conducting Qualitative Research (The Process) - The Emergent Architecture of Inquiry

Qualitative Data Collection Methods (Overview)

In-Depth Exploration of Qualitative Methods

The Sampling Process in Qualitative Research - Architecting the Informant Network

Week 2.2: Activity

Week 2.2: Quiz

The Meaning and Features of Mixed Methods Research

The Use and Rationale for Mixed Methods

The Process and Types of Mixed Methods Strategies

Sampling and Data Analysis Frameworks

Week 2.3: Activity

Week 2.3: Quiz

Sampling Techniques in Mixed Methods Research

A Brief Explanation of Analysis in Mixed Methods

Frameworks and Strategies for Integrative Analysis

Week 2.4: Activity

Week 2.4: Quiz

The Meaning of Primary and Secondary Data

Primary Data Collection Methods and Strategies

Systematic Reviews vs. Scoping Reviews

Secondary Data Collection Methods and Frameworks

Combined Research Design in a Mixed Method Approach

Week 3.1: Activity

Week 3.1: Quiz

Features of Literature and Its Use in Research

The Literature Review Process & Strategies

The Systematic Literature Review (SLR)

The Scoping Review

Week 3.2: Activity

Week 3.2: Quiz

The Role of the Literature Review in Gap Identification

A Detailed Overview of Research Gaps

Frameworks and Strategies for Finding Gaps

Advanced Methodologies for Mapping Literature

Case Studies in Gap Identification - Part A

Case Studies in Gap Identification - Part B

Week 3.3: Activity

Week 3.3: Quiz

Research Quality Assurance (RQA) - Architecting Methodological Rigor

Research Integrity - The Ethical Bedrock of Scholarly Inquiry

Ethics and Ethical Principles - The Nuremberg Code

Ethical Considerations in Practice - Operationalizing Moral Imperatives

Case Studies in Ethical Disputes - The Anatomy of Methodological Failure

Week 4.1: Activity

Week 4.1: Quiz

The Foundation of Modern Research Ethics & The Nuremberg Trial

Global Expansion of Ethics & The Helsinki Declaration

Psychological Harm & The Stanford Prison Experiment

Deception, Coercion, and Other Landmark Ethical Disputes

Strategies for Ethical Compliance in Modern Research

Week 4.2: Activity

Week 4.2: Quiz

The Meaning and Difference Between Validity and Reliability

Issues and Threats to Validity and Reliability

Different Types of Validity

Different Types of Reliability

Strategies for Ensuring Research Quality

Week 4.3: Activity

Week 4.3: Quiz

Assignment: Introduction to Research Methods in AI and Technology Management

The Five-Stage Disruption Process

Glossary of Key Terms

The Disruptive Innovation Model

Sustaining vs. Disruptive Innovation: The Uber Case Study

Key Principles of Disruptive Innovation

Why Incumbents Struggle with Disruptive Innovation

Emerging Technologies and Strategic Innovation Decisions

Strategic, Technological, and Organizational Implications of Disruptive Technologies

DILTM Puzzle 1.1

DILTM Quiz 1.1

Internet of Things (IoT): Driving Digital Business Transformation

Artificial Intelligence (AI): Enabling Intelligent Decision-Making

Blockchain: Secure and Decentralized Digital Ledger Technology

3D Printing: Additive Manufacturing and Industrial Innovation

Drones (UAVs): Commercial Applications and Business Innovation

Augmented, Virtual, and Mixed Reality (AR/VR/MR): Immersive Technologies for Digital Transformation

Case Study: Why Uber Is Not a Disruptive Innovation

Uber as a Sustaining Innovation: Strategic Analysis

DILTM Puzzle 1.2

DILTM Quiz 1.2

Strategic Choices: The Sustaining Innovation Path

Strategic Choices: The Disruptive Innovation Path

Strategic Responses of Incumbents to Disruptive Innovation

The Resource Allocation Challenge in Disruptive Innovation

Strategic Shift: Transforming Business Models in the Digital Era

Technological Shift: Digital Infrastructure and Intelligent Systems Integration

Organizational Shift: Building a Digital and Agile Culture

DILTM Puzzle 1.3

DILTM Quiz 1.3

The Correlation Between Innovation Strategy and Competitive Performance

Why Incumbents Struggle with Disruptive Innovation

The Investment Challenge in Disruptive Innovation

Strategic Choices for Emerging Technologies: Sustaining vs. Disruptive Innovation

Three Main Implications of Disruptive Technologies

DILTM Puzzle 1.4

DILTM Quiz 1.4

Big Data: The 5 Vs and Business Value

Data Analytics and Data Science: Concepts and Business Applications

Data Security and the Risks of Data Compromise

Key Business Challenges in the Digital Era

Barriers to Digital Transformation

DILTM Puzzle 2.1

DILTM Quiz 2.1

Definition and Fundamentals of Big Data

Business Value and Strategic Applications of Big Data

The Five Characteristics of Big Data (5 Vs)

Variety, Veracity, and Value: Completing the 5 Vs of Big Data

Managing Volume, Variety, and Velocity in Big Data

DILTM Puzzle 2.2

DILTM Quiz 2.2

Applications of Data Analytics in Modern Business

Advanced Applications of Data Analytics

Data Analytics Process and Methodologies

Data Analytics Methods and Techniques

Data Analytics vs. Data Science: A Comparative Framework

Focus and Scope: Data Analytics vs. Data Science

Roles, Responsibilities, and Tools: Data Analytics vs. Data Science

DILTM Puzzle 2.3

DILTM Quiz 2.3

Advanced Applications of Data Analytics: Text Mining

Advanced Applications of Data Analytics: Clickstream and CRM Analytics

Tools and Technologies for Data Analytics

Data Analytics vs. Data Science: Key Differences

Meaning, Focus, and Scope: Data Analytics vs. Data Science

Roles, Responsibilities, and Tools: Data Analytics vs. Data Science

Future Trends in Data Analytics

DILTM Puzzle 2.4

DILTM Quiz 2.4

Sources, Processing, and Analysis of Big Data

Big Data Processing and Analytical Frameworks

Purpose, Benefits, and Myths of Data Analytics

Common Myths and Realities of Data Analytics

The Four Types of Data Analytics

Why Organizations Fail at Analytics

Key Reasons for Analytics Failure

DILTM Puzzle 2.5

DILTM Quiz 2.5

Understanding Innovation: Definition and Core Concepts

Forms of Research Innovation

The Four Dimensions of Innovation (4Ps of Innovation)

Strategy Framework for Innovation and Commercialization

Understanding Sustainability: Definition and Core Principles

Core Principles and Models of Sustainability

Types of Sustainability

Research in Sustainability: Emerging Challenges and Applications

Sustainable Business Model Innovation Framework

Life Cycle Assessment (LCA): Principles and Stages

Types of Life Cycle Assessment (LCA)

Life Cycle Approach: Footprints and Sustainability Costs

DILTM Puzzle 3.1

DILTM Quiz 3.1

Understanding Sustainability Footprints

Types of Sustainability Footprints

Key Cost Considerations in Sustainability

Types of Costs in Sustainability

DILTM Puzzle 3.2

DILTM Quiz 3.2

Starbucks General Environment Analysis

Key Components of the Task Environment

Competitive Advantage: Definition and Core Concepts

Sources of Competitive Advantage

Significance of Innovation and Sustainability Models

DILTM Puzzle 3.3

DILTM Quiz 3.3

Environmental Uncertainty: Sources and Dimensions

Dimensions of Environmental Uncertainty

Organizational Effectiveness: Definition and Core Concepts

Emerging Sustainability and Environmental Challenges

Key Steps for Achieving Sustainable Innovation

Commercializing Innovation and Characteristics of Innovative Organizations

Three Pillar Model of Sustainability

DILTM Puzzle 3.4

DILTM Quiz 3.4

Leadership: Definition and Core Concepts

Fundamentals of Good Leadership

Leadership vs. Management: A Comparative Analysis

Motivation Theories in Leadership

Contemporary Motivation Theories

DILTM Puzzle 4.1

DILTM Quiz 4.1

Managerial Approaches to Employee Motivation

Contemporary Managerial Approaches to Employee Motivation

Leadership as a Motivational Force

Common Leadership Styles

Factors Influencing Leadership Style

Situational Factors Influencing Leadership Style

Blake and Mouton's Managerial Grid

DILTM Puzzle 4.2

DILTM Quiz 4.2

Situational Leadership Theory: Blanchard and Hersey

Four Leadership Styles in Situational Leadership

Trait Theory of Leadership

Servant Leadership: Principles and Practices

Leadership, Change Management, and Technology Implementation

Key Change Management Methodologies

Case Studies in Technology Implementation

Leadership Strategies for Innovation and Change

DILTM Puzzle 4.3

DILTM Quiz 4.3

Participative, Transactional, and Laissez-Faire Leadership Styles

Transactional Leadership

Laissez-Faire Leadership

Comparative Analysis of Leadership Styles

Leadership Matrix Using Descriptors

DILTM Puzzle 4.4

DILTM Quiz 4.4

Technology Change Management: Definition and Core Concepts

Need for Technology Change Management

Change Management Methodologies: McKinsey 7-S Framework and Kotter's 8-Step Process

Lewin's Model and the Prosci ADKAR Change Management Model

Bridges Transition Model and the Satir Change Model

DILTM Puzzle 4.5

DILTM Quiz 4.5

Assignment: Disruption, Innovation and Leadership in Technology Management

Artificial Intelligence (AI): Overview and Business Applications

History and Evolution of Artificial Intelligence

Core Concepts of Artificial Intelligence: Machine Learning

Deep Learning and Artificial Neural Networks

Practical Applications of Machine Learning

Practical Applications of Deep Learning

Advanced AI Frameworks and Future Strategies

RPAITKP Puzzle 1.1

RPAITKP Quiz 1.1

Practical Applications of Robotic Process Automation (RPA)

Practical Applications of Computer Vision

Practical Applications of Artificial Intelligence of Things (AIoT)

Practical Applications of AIoT Across Smart Environments

RPAITKP Puzzle 1.2

RPAITKP Quiz 1.2

Practical Applications of Explainable Artificial Intelligence (XAI)

Practical Applications of Explainable AI (XAI) Across Industries

Practical Applications of Quantum Artificial Intelligence (Quantum AI)

Practical Applications of Quantum AI Across Industries

Applications of Artificial Intelligence Across Industries

Industry Applications of Artificial Intelligence

Benefits of Artificial Intelligence for Business

The 12 Core Benefits of Artificial Intelligence for Business Strategy

Business Applications of Machine Learning and Artificial Intelligence

Advanced Business Applications of Machine Learning and Artificial Intelligence

RPAITKP Puzzle 1.3

RPAITKP Quiz 1.3

How Artificial Intelligence Solves Business Challenges

Challenges in Artificial Intelligence

Ethical, Security, and Scalability Challenges in Artificial Intelligence

Emerging Technologies Shaping the Future of Artificial Intelligence

Course Conclusion and Future Outlook of Artificial Intelligence

Research Design and Proposal Development for Sustainable AI Innovation

RPAITKP Puzzle 1.4

RPAITKP Quiz 1.4

Understanding Knowledge Management Systems (KMS)

Key Components of Knowledge Management Systems (KMS)

Knowledge Creation and Organizational Learning

Knowledge Creation: Ikujiro Nonaka's Theory

Organizational Learning vs. Knowledge Creation

Knowledge Storage, Retrieval, and Sharing

Knowledge Sharing and the Knowledge Cycle Value Chain

Tools, Technologies, and Implementation Strategies for Knowledge Management Systems

Knowledge Management Implementation Strategies and Case Studies

The Role of Artificial Intelligence in Knowledge Management

RPAITKP Puzzle 2.1

RPAITKP Quiz 2.1

Knowledge Application and the Core Components of Knowledge Management

Benefits of Effective Knowledge Management

Strategies for Implementing Effective Knowledge Management

Knowledge Management Processes and Tacit Knowledge Capture

Leveraging Technology and Continuous Learning for Knowledge Management

Measuring Knowledge Management Effectiveness

Knowledge Management Models

Knowledge Management Challenges

RPAITKP Puzzle 2.2

RPAITKP Quiz 2.2

Techniques for Successful Knowledge Management

Establishing Clear Knowledge Management Processes

Encouraging Collaboration in Knowledge Management

Continuous Learning and Development in Knowledge Management

Leveraging Technology to Enhance Knowledge Management

Measuring the Success of Knowledge Management

Future of Knowledge Management Systems

Emerging Trends and Future Directions in Knowledge Management Systems

RPAITKP Puzzle 2.3

RPAITKP Quiz 2.3

Introduction to Sustainable Knowledge Management (SKM)

Frameworks and Models for Sustainable Knowledge Management

The 4I Framework for Strategic Renewal

Case Studies in Sustainable Knowledge Management Across Industries

Case Study: Sustainable Knowledge Management in the Energy Industry (Repsol)

Knowledge Graphs and Sustainable Knowledge Management: The AstraZeneca Case

Case Study: Sustainable Knowledge Management in Global Development (The World Bank)

Case Study: Sustainable Knowledge Management Through Incentives and Governance (Accenture & Buckman Labs)

The Role of Technology and Artificial Intelligence in Sustainable Knowledge Management

Challenges to Sustainable Knowledge Management Success

RPAITKP Puzzle 2.4

RPAITKP Quiz 2.4

Artificial Intelligence and Knowledge Management

Core Benefits and Capabilities of Artificial Intelligence in Knowledge Management

Case Study: Artificial Intelligence in Knowledge Management for the Oil and Gas Industry

Strategic Integration Matrix of AI Technologies in Knowledge Management

The Knowledge Cycle Value Chain and AI Integration

Steps to Implement an AI-Based Knowledge Management System (KMS)

Technology Selection and Preparation for AI-Based Knowledge Management Systems

Execution and Change Management for AI-Based Knowledge Management Systems

Testing, Scaling, and Governance for AI-Based Knowledge Management Systems

Final Thoughts: The Future of Artificial Intelligence in Knowledge Management

Project Delivery Approaches for AI Initiatives: Predictive, Agile, and Hybrid

RPAITKP Puzzle 3.1

RPAITKP Quiz 3.1

How AI-Powered Knowledge Management Systems Transform Organizations

Integrating Artificial Intelligence to Enhance Organizational Efficiency

Key Benefits of AI and Machine Learning Integration

Strategic Direction Through AI and Machine Learning Integration

AI-Driven Resource Allocation and Optimization

AI-Driven Operational Activities and Process Optimization

Challenges, Considerations, and Future Trends in AI-Powered Knowledge Management

Future Trends in Artificial Intelligence and Knowledge Management Systems

Project Portfolio Management: Enterprise Visibility for AI Programs

RPAITKP Puzzle 3.2

RPAITKP Quiz 3.2

Challenges and Considerations in Artificial Intelligence Integration

Incorporating Artificial Intelligence in Business

Artificial Intelligence in Business Intelligence and Analytics

Artificial Intelligence in Customer Service

Key Benefits of Artificial Intelligence in Customer Service

The Project Lead's Competency Set: Talent Triangle, Conflict Modes, and Retrospectives

RPAITKP Puzzle 3.3

RPAITKP Quiz 3.3

The New Human–AI Paradigm: Continuous Improvement and Ethical AI

Artificial Intelligence in Marketing

Artificial Intelligence in Human Resource Management

AI Technologies Used in Knowledge Management

Future Trends in Artificial Intelligence for Enhancing Operational Efficiency

RPAITKP Puzzle 3.4

RPAITKP Quiz 3.4

Business Problems Solved by Artificial Intelligence

Data Overload and Analysis Paralysis

Inefficient Customer Support

Supply Chain Management Breakdowns

Human Resources and Talent Management Sourcing

Fraud Detection

Predictive Maintenance

RPAITKP Puzzle 4.1

RPAITKP Quiz 4.1

AI Software Solutions for Supply Chain Management

Artificial Intelligence in Human Resources and Talent Management

Case Study: Artificial Intelligence in Recruitment and Talent Acquisition

AI Software for Candidate Assessment and Workforce Orchestration: HireVue and UKG

AI-Based Tools for Streamlining the Hiring Process

AI Solutions for Fraud Detection

Artificial Intelligence for Healthcare Process Optimization

Digital Work Management Platforms: Jira, Asana, and Basecamp in AI Delivery

RPAITKP Puzzle 4.2

RPAITKP Quiz 4.2

Business Problems Solved by Artificial Intelligence

Data Overload and Analysis Paralysis

Inefficient Customer Support

Artificial Intelligence in Supply Chain Management

Additional Business Challenges: Human Resources, Fraud Detection, and Predictive Maintenance

RPAITKP Puzzle 4.3

RPAITKP Quiz 4.3

Supply Chain Management Using AI Software

Artificial Intelligence in Human Resources and Talent Management

AI Software for Talent Management

Artificial Intelligence Software for Healthcare

Capstone Case Study: Synthesizing Supply Chain Optimization and Fraud Detection

RPAITKP Puzzle 4.4

RPAITKP Quiz 4.4

Assignment: Research Perspectives in AI Technology and Knowledge Practices

Integrated Curriculum Framework for Innovation and Sustainability Research

Course Overview and Learning Outcomes: Foundations of Rigorous Sustainability Research

Evolution of the Innovation–Sustainability Nexus: Philosophical Foundations of Scientific Inquiry

Identifying High-Potential Research Gaps Through Paradigm Shifts and Theory Development

Key Definitions and Conceptual Boundaries: Principles of Scientific Research Rigor

Problem Definition Framework: Structuring Sustainability Research Problems

The Five Principles of Rigorous Scientific Research

Evidence-Based Professional Practice: Translating Research into Sustainable Decision-Making

Quantitative Analysis: Carbon Tax Modeling and Technology Forecasting

Technology Forecasting Models and Statistical Hypothesis Testing

Literature Synthesis and Future Research Trajectories: Systematic Review and Emerging Research Trends

Schumpeterian Innovation and Creative Destruction: Modeling Sustainable Technological Transitions

Open Innovation and Mixed-Methods Research: Integrating Technical and Socio-Organizational Perspectives

Disruptive Innovation and Quantitative Research Designs: Establishing Causal and Empirical Evidence

Circular Economy and Qualitative Case Study Methods: Analyzing Organizational Transformation

Doughnut Economics and Planetary Boundaries: Operationalizing Ecological and Social Sustainability

Sustainable Business Model Innovation: Research Ethics, Quality, and Social Responsibility

Research Misconduct and Institutional Corruption: Threats to Scientific Integrity

Research Validity, Trustworthiness, and Authorship Integrity in Sustainable Business Model Innovation

IRMAIT Puzzle 1.1

IRMAIT Quiz 1.1

Systematic Literature Review Methodology: Protocol, Evidence Identification, Synthesis, and Research Agenda Development

Quality Appraisal and Bibliometric Evaluation: Assessing Research Impact and Scholarly Influence

Methodological Critique: Bibliometric Manipulation, Responsible Research Assessment, and Scoping Reviews

Assessing Research Quality and Rigor: Quantitative Validity and Qualitative Trustworthiness

Quantitative Research Quality Metrics: Reliability, Validity, and Measurement Precision

Qualitative Research Trustworthiness: Credibility, Dependability, Confirmability, and Transferability

Critical Appraisal of Research Methodologies: Strengths, Limitations, and Practical Trade-offs

Mixed-Methods Research: Methodological Synergies and Complementarity

The Paradigm Debate in Mixed-Methods Research: Incompatibility, Pragmatism, and Methodological Compatibility

Identifying Theoretical, Empirical, and Contextual Research Gaps: From Problem Recognition to Theory Development

Applying Kuhnian Paradigm Theory to Research Gap Identification and Theory Development

Technology Forecasting and Substitution Models: Logistic Growth, Exponential Growth, and S-Curve Dynamics

Policy Impact Assessment: Carbon Tax Hypothesis Testing and Statistical Inference

Qualitative and Case-Based Research on Sustainable Business Models: Context, Transformation, and Outcomes

Multicase Analysis of Circular Economy Adoption: Context, Transformation, and Institutionalization

Dynamic Visualization and Qualitative Data Display: Mapping Circular Economy Transformations

Mixed-Methods and Interdisciplinary Research: Integrating Quantitative and Qualitative Evidence

Explanatory Sequential Mixed-Methods Design: Integrating Quantitative Findings with Qualitative Explanations

Recent High-Impact Research (2020–2026): Contemporary Methodologies and Emerging Digital Approaches

AI-Assisted Netnography: Computational Analysis of Digital Consumer Movements and Sustainability Discourse

Integrated Teaching Activities and Research Deliverables: Applied Methodological Learning

IRMAIT Puzzle 1.2

IRMAIT Quiz 1.2

Emerging Research Frontiers and Gap Identification in Sustainable Innovation

Climate-Tech, Deep-Tech, and AI-Enabled Sustainable Innovation: Quantitative Forecasting and Technology Trajectory Analysis

Digital Transformation and Industry 5.0 for Sustainability: Human-Centric, Resilient, and Sustainable Innovation

Ethical Paradigms in Sustainability Research: Autonomy, Solidarity, and the Public Interest

Post-Growth and Alternative Economic Models: Measuring Sustainability Within Planetary Boundaries

Global North–South Divides in Sustainability Research: Benefit Sharing, Intellectual Property, and Equitable Access

Advanced Quantitative Research Methods: Longitudinal Analysis, Statistical Power, and Experimental Rigor

Qualitative and Action Research Methodologies: Ethnography, Reflexivity, and Participatory Inquiry

Mixed-Methods Research: Ontological Reconciliation and Integrated Research Design

Big Data, Computational Research, and the Reproducibility Crisis: Transparency in Sustainability Analytics

Systematic Research Gap Identification: Mennecke’s Framework and Kuhnian Paradigm Analysis

Formulating Sustainable Research Questions: Scope, Precision, and Scientific Rigor

Research Ethics and Scientific Integrity: Informed Consent, Conflicts of Interest, and Responsible Research Conduct

Comprehensive Assessment, Required Readings, and Research Deliverables

Research Proposal Development, Ethical Governance, and Scholarly Foundations

IRMAIT Puzzle 1.3

IRMAIT Quiz 1.3

Evaluating Environmental Regulation and Carbon Pricing: Policy Effectiveness, R&D Incentives, and Metric Integrity

Qualitative Analysis of Green Finance: Funding, Institutional Support, and Implementation Success

Multi-Stakeholder Partnerships and Epistemic Integrity: Institutional Trust, Resource Commitment, and Knowledge Alignment

Institutional Barriers and Organizational Dynamics: Case Analysis, Transparency, and Sustainable Transformation

Integrating Mixed Methods and Meta-Synthesis: From Data Convergence to Integrated Evidence

Navigating the Academic Publishing Landscape: Journal Metrics, Peer Review, and Epistemic Bias

Publication Ethics and Research Integrity: Responsible Authorship, Conflicts of Interest, and Detrimental Research Practices

Evidence-Based Practice Under Conditions of Secrecy: Data Governance, Dignity, and Research Trust

Constructing a Unified Research Agenda: From Problem Identification to Theory Development

Critical Reflection and Futurist Frameworks: Causal Reasoning, Public Interest, and Ethical Research Leadership

IRMAIT Puzzle 1.4

IRMAIT Quiz 1.4

Strategic Course Framework: Competencies, Learning Outcomes, and Methodological Foundations

Evolution of Business Innovation: From Industry 4.0 to Human-Centric Industry 5.0

Triple Bottom Line Measurement and the ESG Index Problem: Scale Compatibility, Aggregation, and Methodological Validity

The Egg of Sustainability: Ecological Dependency, Host Context, and Systemic Transformation

Sustainable Business Models and Strategic Value Creation

Strategic Topic Selection and Problem Structuring: From Sustainability Challenges to Theory-Grounded Research

Regulatory Drivers and Technology Management Forecasting

Industry Application of Technology Forecasting: Regulatory Targets, Battery Innovation, and Strategic Market Timing

Consumer Research Methodologies: Netnography, Survey Design, and Bias in Sustainability Markets

ESG Investment and Sustainable Finance: Causal Web Analysis of Funding, Implementation, and Organizational Change

Tracking Organizational Transformation: From Mass Manufacturing to Circular Product-as-a-Service Models

Diversity, Resilience, and Reflexivity: Social Location, External Validity, and Inclusive Sustainability

Epistemic Traditions and the Social Construction of Scientific Credibility

Research Misconduct and Detrimental Research Practices: Threats to Scientific Integrity

Participant Protection and Ethical Governance: Autonomy, Solidarity, Dignity, and Dynamic Consent

Required Readings, Methodological Resources, and Applied Research Laboratories

IRMAIT Puzzle 2.1

IRMAIT Quiz 2.1

Course Overview, Strategic Competencies, and Research Integrity Foundations

Understanding Current Realities: Stakeholder Context, User Needs, and Inductive Inquiry

The “What If?” Stage: Ideation, Paradigm Shifts, and Alternative Sustainable Futures

The “What Works?” Stage: Prototyping, Action Research, and Iterative Validation

Deconstructing User-Driven Innovation: Lead Users, Digital Communities, and Grassroots Sustainability

Technology Reinvention and User Adaptation: Redesign, Simplification, Flexibility, and Local Context

Methodological Benefits and Risks of Design Thinking: Validity, Collaboration, Bias, and Resource Stewardship

Ethical Governance of Human-Centred Innovation Testing: Vulnerability, Confidentiality, Deception, and Public Interest

Master Reading List: Theoretical, Methodological, and Ethical Foundations

IRMAIT Puzzle 2.2

IRMAIT Quiz 2.2

Defining Eco-Innovation: Conceptual Boundaries, Operationalization, and Epistemic Context

Typologies of Eco-Innovation: Product, Process, Organisational, and Systemic Transformation

Drivers and Barriers to Eco-Innovation Adoption: Thematic Analysis, Institutional Constraints, and Dual-Use Risks

Transitioning from Linear to Circular Systems: Technology Substitution, Adoption Dynamics, and Creative Destruction

Integrating Circular Economy Principles into Operational Strategy: Mixed-Methods Analysis and Evidence-Based Transformation

Evaluating Circular Economy Policy: Quasi-Experimental Design, Regulatory Effectiveness, and Data Ethics

Required Scholarly Readings and Student Research Deliverables

Capstone Student Research Deliverables

IRMAIT Puzzle 2.3

IRMAIT Quiz 2.3

Eco-Design Principles, Research Scoping, and Manufacturing Readiness

Life Cycle Assessment, Environmental Modelling, and Research Quality

Integrating Quality and Environmental Management through Mixed-Methods Analysis

From Environmental Compliance to Competitive Advantage: A Kuhnian Paradigm Shift

Systems Thinking and Circular Corporate Strategy

Organizational Architecture, Sustainability Alignment, and Administrative Pressure

The Virtuous Researcher, Epistemic Cultures, and Research Integrity

Misconduct, Detrimental Research Practices, and Conflicts of Interest

Peer Review, Bibliometrics, and Responsible Research Evaluation

Required Readings and Postgraduate Deliverables

IRMAIT Puzzle 2.4

IRMAIT Quiz 2.4

GHG Classification and Measurement Scales

Carbon Policy Evaluation and Technology Growth Models

GHG Protocol, Institutional Reporting, and Empirical Standards

Climate Policy Evaluation and Institutional Integrity

Theory Development in Green R&D

Design Science Validation and Systematic Literature Review

Research Integrity, Ethics, and Participant Protection in Carbon Research

Assessment, Research Deliverables, and Required Readings

IRMAIT Puzzle 3.1

IRMAIT Quiz 3.1

Green Design, Paradigm Shifts, and Organizational Readiness

Ecological Loop Dynamics and Clean-Tech Forecasting

Modelling Systemic Green Design Interventions

GHG Emissions Accounting and Measurement Scales

Quantitative Policy Evaluation and Carbon Tax Impact

Sustainability Metrics, Validity, and Reliability

Stakeholder Reporting and Epistemic Integrity

Postgraduate Study Guide and Assessment Framework

IRMAIT Puzzle 3.2

IRMAIT Quiz 3.2

Green Design Research Planning and Problem Structuring

Green Technology Forecasting and Organizational Readiness

Sustainability Metrics, Validation, and Statistical Assessment

Strategic Communication and Epistemic Management

Integrating Design Thinking and Action Research

DSR Artifact Evaluation and Knowledge Contribution

Required Readings and Research Ethics Framework

IRMAIT Puzzle 3.3

IRMAIT Quiz 3.3

Innovation Processes, Design Thinking, and Research Integrity

Design Thinking, Social Responsibility, and Research Methodology

Design Science Research and Epistemic Foundations

Artefact Evaluation, Validity, and Peer Review Integrity

Knowledge Contribution, Publication, and Research Integrity

Student Deliverables, Assessment, and Research Integrity

IRMAIT Puzzle 3.4

IRMAIT Quiz 3.4

Assignment: Introduction to Research Methods in AI and Technology Management