2022, Vol. 4, Issue 3, Part C

Public administration involves the management and implementation of government policies, programs, and services to serve the public interest. It encompasses tasks such as policy formulation, resource allocation, service delivery, regulation, and citizen engagement. Traditionally, public administration relied on administrative processes, qualitative data, and conventional decision-making methods. These processes were often manual and paper-based, involving tasks such as record-keeping, document filing, and routine administrative tasks. Decision-making was often hierarchical, with decisions flowing through predefined channels of authority. In traditional public administration, qualitative data often included narratives, descriptions, case studies, interviews, and observations. Decision-making in traditional public administration was based on historical precedents, expert opinions, and established practices. Administrators relied on their experience and judgment to make decisions that were often influenced by political considerations, administrative norms, and past outcomes. However, with the advent of technology and the emergence of big data analytics, these traditional approaches have evolved significantly. Modern public administration has shifted towards digitalization and automation. Administrative processes are now streamlined through digital tools, databases, and electronic communication, reducing paperwork and improving efficiency. This data comes in structured, semi-structured, and unstructured formats and requires advanced technologies like data analytics, machine learning, and artificial intelligence to process and extract meaningful insights. This quantitative data offers a more objective and comprehensive understanding of issues compared to qualitative data alone.