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The present study investigated the relationships among nine Service Level Benchmarking  performance indicators  (PI) of urban water supply in India using  Interpretive Structural Modeling  (ISM) and  Fuzzy Set Qualitative Comparative Analysis  (fsQCA). The findings of ISM have indicated  per capita water supply  (PCS) as a dependent variable, while  water quality  is an autonomous variable; c omplaint redressal  and  collection efficiency of water charges  are driving variables, and the remaining five are linkage variables. Further, fsQCA was used to validate the results of ISM across 53 Indian million-plus cities in the three  Baseline Water Stress  (BWS) regions, including 17 low-to-high (&lt; 40%), 13 high (40-80%), and 23 very high (&gt; 80%) BWS cities. With PCS as the output condition and the remaining eight PIs as input conditions, fsQCA indicated that low-to-high and high BWS cities follow the ISM results. In contrast, very high BWS cities exhibit contradictory relations to the ISM results.

Investigating the relations between performance indicators of urban water supply in India