Applying an Adaptation of the Prado Project Management Maturity Model in an Academic Context

Araújo, Alexandra Maria Dantas de Castro; Ribeiro, Pedro

doi:10.1007/978-3-030-72660-7_34

Cited by 1 publication

(1 citation statement)

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“…Most maturity models are about Business Intelligence (BI) (Hribar Rajterič, 2010;Chuah and Wong, 2013;Fedouaki, Okar and Alami, 2013;Treviño and Gamboa, 2014), Artificial Intelligence (AI) (Raghad Baker Sadiq et al, 2021a, 2021b, IoT applications (Asdecker and Felch, 2018;Klisenko and Asensio, 2022), Project Management ('Using the project management maturity model; strategic planning for project management, 2d ed. ', 2005;Chang and Wei, 2013;Farrokh and Mansur, 2013;Meng, 2019;Araújo, 2020) and data warehouse (Hidayanto et al, 2022). However, data management is the foundational process of creating, obtaining, storing, protecting, and processing data to ensure its accessibility, reliability, and timeliness.…”

Section: The Research Scope For Lgsm In Data Managementmentioning

confidence: 99%

A Leadership and Governance Stage Model (LGSM) in Digital Transformation in Data Management

Yan,

Dr Jeff Jones

2023

ECMLG

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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.

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