posted on 2019-07-17, 07:58authored bySwapan Ghosh
Industrial businesses are going through a period of digital disruption and firms are under severe
pressure to undertake Digital Transformation and leverage the Industrial Internet of Things
(IIoT). Yet, there is next to no scholarly guidance for such an endeavour. Most industrial firms
are developing their Digital Transformation strategies, however, they are not sure what kind of
capabilities they should develop for such transformation.
Though there is limited academic literature about Digital Transformation and how firms are
developing digital transformative capabilities, a systematic literature review was performed to
disentangle capability transformation processes and how firms are developing dynamic
capabilities to remain competitive in a high-velocity environment. The current study extended
dynamic capability theory and proposed digital transformative capabilities (DTCs) for Digital
Transformation. To understand the IIoT landscape and how it influences Digital Transformation,
an industry review was performed.
The research was conducted in two phases. Based on the literature review and industry review, in
the first phase, two qualitative exploratory studies were performed. The preliminary exploratory
study was conducted to get an understanding of the IIoT landscape and how firms were
developing capabilities for transformation. Based on the insights from preliminary exploratory
study, a detailed exploratory study was performed which revealed critical themes for Digital
Transformation and, based on these themes, a conceptual framework for Digital Transformation
was derived. The conceptual framework was divided into two models. The front-end model
viii
identified three DTCs (Business Model Transformation, Operating Model Transformation and
Cultural Transformation), three inputs (Digital Twin, Digital Thread and Digital Mindset) and
the factors influencing the DTCs. The back-end model examined the influence of DTCs on
dynamic capabilities, which may be indicative of digital transformation in a company.
In the second phase, these two models were tested through a quantitative analysis, utilizing data
generated from 107 respondents from 87 industrial companies via a self-reported online
questionnaire and the application of multiple linear regression analysis.
The Digital Twin is widely touted as an important input for DTC but the result did not support
that. Digital Thread as an input for DTC was supported and Digital Mindset as an input for DTC
was partially supported. Using moderator analysis, important insights were identified. The
moderators, Technology Turbulence, Market Turbulence, Competitor Turbulence and Path
Dependency had some positive moderation effects. The positive influence of ‘DTC – Business
Model Transformation’ on dynamic capabilities which may be indicative of digital
transformation in a company was not supported. However, the positive influence of ‘DTC –
Operating Model Transformation’ was supported and ‘DTC – Cultural Transformation’ was
partially supported. The moderation effects of ecosystem partnership and resource scarcity and
constraints were partially supported, and the moderation effects of customer and market demands
and digital commitment were not supported or refuted.