Loading...
The Empirical Nexus between Data-Driven Decision-Making and Productivity: Evidence from Pakistan’s Banking Sector
Gul, Raazia Leong, Kelvin Mubashar, Ammara Abdulaziz Saleh Al-Faryan, Mamdouh Sung, Anna
Gul, Raazia
Leong, Kelvin
Mubashar, Ammara
Abdulaziz Saleh Al-Faryan, Mamdouh
Sung, Anna
Advisors
Editors
Other Contributors
EPub Date
Publication Date
2023-02-16
Submitted Date
Collections
Files
Loading...
Article - VoR
Adobe PDF, 4.44 MB
Other Titles
Abstract
The effective use of digital technologies to create business value has generated enormous data, and using data in decision-making is vital. Although there is growing empirical evidence in favour of a positive association between informed decision-making and firm performance in developed countries, there is little to no evidence of a large-scale study in an emerging economic context. Moreover, there has been scant empirical evidence on how DDDM affects productivity in the banking sector of developing countries. This study examined the impact of DDDM on the productivity of Pakistan’s banking sector from 2016 to 2020 based on primary and secondary data collected from banks registered in Pakistan. The findings suggest that banks who adopt DDDM practices show a 4–7% increase in productivity depending on adjustment to change. We believe this study would shed light on the importance of DDDM in the banking sector of developing countries.
Citation
Gul, R., Leong, K., Mubashar, A., Al-Faryan, M. A. S., & Sung, A. (2023). The Empirical Nexus between Data-Driven Decision-Making and Productivity: Evidence from Pakistan’s Banking Sector. Cogent Business & Management, 10(1), 1-17. https://doi.org/10.1080/23311975.2023.2178290
Publisher
Taylor & Francis
Journal
Cogent Business & Management
Research Unit
DOI
10.1080/23311975.2023.2178290
PubMed ID
PubMed Central ID
Type
Article
Language
Description
Series/Report no.
ISSN
No print ISSN
EISSN
2331-1975