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My PhD explores the topic of Human Resource Analytics and with a particular focus on analytics readiness. The pace and scale of technological advancements present ongoing challenge for organisations worldwide, and technology adoption presents organisations with the potential to enhance their sustainable competitive advantage and improve their performance in a more efficient and objective way. Indonesia has prioritised technological advancement in its Golden Vision 2045 (Bappenas, 2020) and clearly directs that all organisations, whether in the public or private sectors, be in a state of readiness for automation by 2030 (Das et al, 2019). This prioritisation extends to the Human Resource function requiring that several data reliant human resources activities move towards the use of advanced statistical tools to conduct predictive analysis. Notwithstanding its many recognised benefits, the adoption of HR Analytics remains challenging.

The specific remit of my research is to investigate the Human Resource Analytics Readiness (HRAR) of Indonesian Companies for this transformation. Although the study of HRAR is yet in its infancy, it is a critical area for investigation since it will determine whether and how the scale of transformation and adoption envisaged under Golden Vision 2045 can be achieved by 2030. Following a systematic review of the extant literature on HR analytics and HRA readiness, I plan to develop a HRAR index that will be used to assess the state of readiness of a sample of public and private companies in Indonesia. This will enable Indonesian organisations to benchmark their readiness against similar organisations in their sector and identify targeted actions to enable them in their transformation.