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Abstract
This study investigates the impact of data-driven decision-making (DDDM) on productivity in Pakistan's banking sector, considering data analytics capability. Using Instrumental Variable Two-Stage Least Square and primary data from an online survey, findings suggest that banks utilizing analytics and DDDM methods experience a 9-10% productivity increase. DDDM adoption with data analytics investment leads to enhanced productivity.
Publisher
Humanities and Social Sciences Communications
Published On
Oct 06, 2023
Authors
Raazia Gul, Mamdouh Abdulaziz Saleh Al-Faryan
Tags
data-driven decision-making
productivity
banking sector
data analytics
Pakistan
instrumental variable
survey

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