Research

Research philosophy

Sustainable Transformation is a systemic process integrating governance, innovation, technology, policy and human development to create resilient, intelligent and sustainable systems.

The group treats sustainable transformation as a systemic process in which technology, governance, policy, human resources and social behaviour interact closely.

Research model

From this philosophy the group builds an overall research model of three linked parts. Sustainable development is not an end state but the result of a continuous, deliberate process of transformation running across individual, organisational, sectoral, local and national levels.

Mark by programme

Transformation Drivers

What drives change

AI & digital technologies
Innovation
Energy transition
Policy & institutional change
Human capital development

Transformation Process

How organisations and systems change

Digital transformation
Green transformation
Governance model transformation
Business model transformation
Individual & organisational behaviour

Transformation Outcomes

What value change creates

Innovation capability
Governance effectiveness
Productivity & competitiveness
Sustainable development
Economic, social & environmental value

Core research programmes

To carry out its overall agenda, the group concentrates on two core research programmes for 2027-2031.

Research programme 1

Intelligent Technologies for Sustainable Transformation

Objective

Researching and developing technologies, methods and solutions that advance digital, green and energy transitions, strengthening the competitiveness and sustainability of firms, organisations and the economy.

Research topics

1.
AI & intelligent systems
AI · Machine Learning · Generative AI · Decision Support · Data Science
2.
Digital transformation
Digital Business · Digital Government · Digital HRM · Smart Services
3.
Automation & smart manufacturing
Industry 5.0 · Smart Manufacturing · Robotics
4.
Energy transition & green technology
Renewable Energy · Carbon Neutrality · Circular Technologies
5.
Technology transfer
Innovation Ecosystem · Digital Innovation

Intended outputs

Artificial intelligence models for management
Digital transformation solutions
Clean energy solutions
Technology transfer models

These are outputs the group is working towards for 2027-2031, not completed results.

Research programme 2

Governance, Policy and Innovation for Sustainable Transformation

Objective

Studying governance models, policies and innovation that build the transformation capacity of firms, the public sector and society amid digital and green transitions and international integration.

Research topics

1.
Corporate & organisational governance
Corporate Governance · Strategy · Sustainable Business
2.
Human resources & leadership
HRM · Leadership · Talent · Human Capital
3.
Individual & organisational behaviour
Consumer Behaviour · Well-being · Sustainable Consumption
4.
Development policy
Economic Policy · Innovation Policy · Green Governance
5.
Innovation & entrepreneurship
Green Entrepreneurship · Open Innovation · Ecosystems

Intended outputs

Transformation governance models
Transformation capability assessment framework
Sustainable transformation index
Policy advisory reports

These are outputs the group is working towards for 2027-2031, not completed results.

Methodological orientation

The group pursues interdisciplinary methods, combining quantitative and qualitative research, modelling, data science, artificial intelligence and policy analysis, so that results are both comprehensive and applicable.

Methods actively encouraged

Big Data Analytics
Machine Learning
Structural Equation Modelling (SEM)
AHP · DEMATEL · ANP
System Dynamics
Delphi

Together with policy impact assessment methods.