Digital transformation as an enabler of sustainability innovation and performance – Information processing and innovation ambidexterity perspectives

Hui Ting Lu, Xue Li, Kum Fai Yuen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

57 Citations (Scopus)

Abstract

As sustainability gains increased importance among investors and regulators, firms are resorting to digitalization as a means to facilitate innovations and significantly improve their sustainability performances. Drawing on innovation ambidexterity and information processing theory, a framework was curated to assess the effect of digital transformation factors on sustainability innovation ambidexterity as well as sustainability performance. A survey questionnaire was administered to 187 maritime professionals who held relevant roles in innovation, performance management, sustainability, or digitalization. The data collected was then assessed using structural equation modelling, which revealed that the factors influencing sustainability performance, in decreasing order of importance, were digital capabilities, digital technology and business strategy alignment, sustainability exploration innovation, sustainability exploitation innovation, and digital flexibility. These findings contribute to the existing literature by employing the concepts of the identified theories to examine the triadic relationship between digital transformation factors, sustainability innovation ambidexterity, and sustainability performance. This provides a deeper understanding of the interactions between variables that lead to sustainability performance. In addition, it offers directions for managers to enhance sustainability performance through resource optimization in prioritizing training for employees, portfolio management, scheduling regular meetings between information technology and business management teams, and adopting forward-looking approaches to implement digital architecture.

Original languageEnglish
Article number122860
JournalTechnological Forecasting and Social Change
Volume196
DOIs
Publication statusPublished - Nov 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 Elsevier Inc.

ASJC Scopus Subject Areas

  • Business and International Management
  • Applied Psychology
  • Management of Technology and Innovation

Keywords

  • Digital transformation
  • Information processing theory
  • Structural equation model
  • Sustainability innovation ambidexterity
  • Sustainability performance

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