Challenges in Enhancing Government Decision-Making Ability in the Big Data Era

บทคัดย่อ

This article aimed to study: 1) the impact of big data on government decision-making processes; 2) case studies of successful big data applications in government decision-making; and 3) the key challenges and limitations that governments face when integrating big data into decision-making frameworks. The research methodology was qualitative, examining the challenges of government decision-making ability in the big data era. The key informants consisted of 20 policymakers, data analysts, IT experts, and administrative officials in Beijing, Shanghai, Zhengzhou, Zhumadian, and Hebi City, Henan Province, selected through purposive sampling. Data were collected using interviews, observations, and document analysis, and the data were analyzed using descriptive analysis. The results of the research study found that: 1) in analyzing the impact of big data on government decision-making processes, big data enhanced the efficiency and evidence-based quality of decision-making; 2) in exploring case studies of successful big data applications in government decision-making, it was found that successful applications relied on integrated platforms and cross-departmental data collaboration; and 3) in identifying the key challenges and limitations that governments faced when integrating big data into decision-making frameworks, it was found that data quality, institutional fragmentation, legal restrictions, and privacy issues remained the main challenges. In response, the study proposed an optimization framework that integrates technological, institutional, legal, and public participation dimensions to strengthen effective data-driven decision-making in the public sector.