Abstract
In this era of digital transformation, organisations and individuals have the ability to generate, collect, process, and analyse a vast volume of data to gain benefits and valuable insights. However, despite recognising the competitive advantage of digital transformation in data management, they often face challenges in navigating the transformation process and aligning their existing practices with on-premise technologies. Leadership and governance play a very significant role in digital transformation procedures. The main objectives of this research are 1) to establish a Leadership and Governance Stage Model (LGSM), which provides a standardised, structured, and objective roadmap for organisations to determine their current leadership and data governance maturity stage in digital transformation in data management and 2) to guide organisations in progressing to the next maturity stage by using LGSM as a framework. This research adopts a qualitative approach, utilising a Systematic Literature Review (SLR) conducted over the past ten years, applying Grounded Theory. A total of 14 well-defined Capability Maturity Models (CMMs) of data management were reviewed, summarised, and consolidated. In this way, LGSM is established, comprising six stages: Stages 0, 1, 2, 3, and 4, with Stage 5 representing the most developed and mature stage. The holistic view of this stage model has been summarised at the end of this research, which demonstrates the significance of leadership and governance in digital transformation.
| Original language | English |
|---|---|
| Pages | 427-435 |
| Publication status | Published - 2023 |
| Externally published | Yes |
| Event | The 19th European Conference on Management Leadership and Governance - London Duration: 13 Nov 2023 → … |
Conference
| Conference | The 19th European Conference on Management Leadership and Governance |
|---|---|
| Period | 13/11/23 → … |