TWIN TRANSITION: THEORETICAL BACKGROUND, EMPIRICAL INSIGHTS, AND INTEGRATED APPROACH

This study explores the concept of Twin Transition (TT), defined as the integrated process of aligning digital transformation with sustainability to achieve operational efficiency, environmental responsibility, and organisational resilience. Rooted in theoretical foundations and supported by expert insights, the research emphasises TT’s dual potential to drive innovation and address global challenges through advanced digital tools such as the Internet of Things and artificial intelligence. The study employs a design science research methodology to iteratively develop and validate the Integrated Approach to Twin Transition. This approach comprises five phases: Initial Assessment and Strategic Alignment, Goal Setting and Prioritisation, Designing Transformation Systems, Implementation and Continuous Monitoring, and Skill Development and Cultural Shift. Empirical findings highlight the importance of modular strategies, real-time monitoring, and inclusive decision-making to overcome challenges in TT implementation. Our research delivers actionable recommendations for organisations to integrate sustainability and digitalisation effectively. While the study focusses on Germany’s regulatory and industrial landscape, the proposed approach is adaptable to diverse global contexts.

Authors

Institutions

Publication Details

Journal
International Journal of Innovation Management
Published
2025-05-30
DOI
https://doi.org/10.1142/s136391962540002x
Citations
4
Primary Topic
Assisted Reproductive Technology and Twin Pregnancy
Type
article
Field-Weighted Citation Impact
13.98
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

TWIN TRANSITION: THEORETICAL BACKGROUND, EMPIRICAL INSIGHTS, AND INTEGRATED APPROACH

Daniel R. A. Schallmo, DANIEL JEHLE
4 citations
International Journal of Innovation Management
Assisted Reproductive Technology and Twin Pregnancy
13.98
article

TWIN TRANSITION: THEORETICAL BACKGROUND, EMPIRICAL INSIGHTS, AND INTEGRATED APPROACH

Daniel R. A. Schallmo, DANIEL JEHLE
article en
4 citations

Abstract

This study explores the concept of Twin Transition (TT), defined as the integrated process of aligning digital transformation with sustainability to achieve operational efficiency, environmental responsibility, and organisational resilience. Rooted in theoretical foundations and supported by expert insights, the research emphasises TT’s dual potential to drive innovation and address global challenges through advanced digital tools such as the Internet of Things and artificial intelligence. The study employs a design science research methodology to iteratively develop and validate the Integrated Approach to Twin Transition. This approach comprises five phases: Initial Assessment and Strategic Alignment, Goal Setting and Prioritisation, Designing Transformation Systems, Implementation and Continuous Monitoring, and Skill Development and Cultural Shift. Empirical findings highlight the importance of modular strategies, real-time monitoring, and inclusive decision-making to overcome challenges in TT implementation. Our research delivers actionable recommendations for organisations to integrate sustainability and digitalisation effectively. While the study focusses on Germany’s regulatory and industrial landscape, the proposed approach is adaptable to diverse global contexts.

International Journal of Innovation ManagementVol. 29(05n06)
Neu-Ulm University of Applied Sciences (DE)
Openalex Percentile: Top 1%
Assisted Reproductive Technology and Twin Pregnancy
13.98
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.