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Advancing Data-Driven Customized Social Service Markets: A Comparative Study of Cash and Service Benefits

  • Industry Promotion Research
  • Abbr : IPR
  • 2026, 11(2), pp.457~463
  • DOI : 10.21186/IPR.2026.11.2.457
  • Publisher : Industrial Promotion Institute
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Received : April 16, 2026
  • Accepted : April 22, 2026
  • Published : April 30, 2026

Cheol-ki Min 1

1신한대학교

Accredited

ABSTRACT

This study examines the policy limitations of universal cash transfers amidst the rise of new social risks, exploring strategies to advance social service markets through customized services and data-driven precision welfare. Utilizing balanced panel data from the 15th to 18th waves of the Korea Welfare Panel Study (KoWEPS), we applied a Panel Fixed Effects Model and Propensity Score Matching-Difference-in-Differences (PSM-DID). The empirical results demonstrate that while universal cash transfers exhibit only short-term, economic effects on improving the multidimensional quality of life for vulnerable populations, customized social services yield long-term, sustained positive effects, particularly in relational satisfaction. Furthermore, social service interventions significantly reduce unmet welfare needs, such as care and medical gaps. This research argues that beyond uniform income maintenance, AI and data-driven matching systems can eradicate the stigma of targeting and resolve information asymmetry in the service market. Ultimately, we propose that by freeing human professionals from administrative burdens, technology enables them to focus on the human connection and emotional empathy—the temperature AI cannot reach—thus functioning as "warm technology" that restores the true essence of care.

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