378. Measuring operational efficiency of residential and domiciliary adult care providers: Evidence from online reviews and Data Envelopment Analysis approach
Invited abstract in session WA-60: DEA applications in Policy Making and Planning I, stream Data Envelopment Analysis and its applications.
Wednesday, 8:30-10:00Room: Western LT
Authors (first author is the speaker)
| 1. | Sojeong Kwon
|
| 2. | Seongsoo Jang
|
| Cardiff Business School, Cardiff University | |
| 3. | Yuncheol Kang
|
Abstract
Research has increasingly focused on adult care services, reflecting the expanding range of living options for elderly individuals. This study assesses the operational efficiency of residential and domiciliary adult care providers in the UK from 2015 to 2023 using window Data Envelopment Analysis (DEA). First, we collect online reviews scraped from 100 residential and 100 domiciliary care service providers and quantify input and output variables using sentiment analysis of review content on a yearly basis. Additionally, we extract historical government-driven inspection data from the Care Quality Commission to examine the influence of government interventions on changes in care operational efficiency. Second, we identify both established and novel input and output variables for residential care providers (covering tangible and intangible attributes) and domiciliary care providers (covering intangible attributes). Finally, we evaluate the efficiency of decision-making units (DMUs) using window DEA, which captures value changes over time by assessing DMUs across multiple periods. As a post-DEA analysis, we employ clustering techniques such as K-means analysis to categorize the results, analyze differences in overall trends and identify key variables that distinguish each group. These findings highlight critical factors driving efficiency in the UK’s residential and domiciliary adult care sector, offering valuable insights for improving the quality of care services.
Keywords
- Data Envelopment Analysis
- Efficiency Analysis
Status: accepted
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