Digital Sustainability for Human Resource Management Canvas Meta-Synthesis Approach

In the era of Digital Transformation (DT) and Sustainable Development (SD), the pivotal role of Human Resources (HR) in addressing business challenges has become increasingly evident. These challenges directly impact different HR departments and processes, prompting a need for a strategic overhaul. HR management should continuously adapt its service delivery model to align with the business model and create a balance between internal and external organizational expectations and employee needs, considering the two fundamental challenges of digital transformation and sustainable development, in an agile manner. The critical role of sustainable human resource management in fostering overall business sustainability is evident. However, in many cases, HR management has failed to recognize and demonstrate its cost structure, revenue flow, and social and environmental benefits transparently for the business. This research focuses on presenting the sustainable digital human resource management canvas and its connection to the business canvas to achieve sustainability in the digital era. Employing a qualitative research methodology, this study conducts a meta-synthesis of two pivotal concepts-sustainable human resource management and digital human resource management- leveraging data from reputable databases including Science Direct, Scopus, and Web of Science. Following meticulous screening and examination, a total of 17 articles from Q1-ranked journals were selected as the final articles for a more detailed and in-depth review. The findings from the meta-synthesis results consist of 5 dimensions and 23 components, ultimately presenting the sustainable digital human resource management canvas by modeling it after the business canvas. The distinct feature of this canvas, compared to other similar and conventional models, is the inclusion of individual sustainability in the value proposition and the creation of a digital value component, including artificial intelligence, the Internet of Things, and big data.