Exploring the Impact of Big Data Analytics on Organizational Decision-Making and Performance: Insights from Pakistan's Industrial Sector

Authors

  • Assad Latif North China University of Water Resources and Electric Power China. https://orcid.org/0000-0002-8826-4777
  • Raheela Fairdous North China University of Water Resources and Electric Power China.
  • Raheel Akhtar National College of Business Administration and Economics Sub Campus Multan/Faysal Bank Limited, Pakistan. https://orcid.org/0000-0002-3602-8713
  • Muffarah Ambreen North China University of Water Resources and Electric Power China.

DOI:

https://doi.org/10.52131/pjhss.2023.1102.0475

Keywords:

Big Data Analytics, Decision Making, Organizational Performance, Pakistani’s Industrial Sector

Abstract

Little is known about how big data analytics affects decision-making and how choices have an impact on organizational performance. The research model presented in this study, which is based on the information processing view and survey-based ratings, links Big Data Analytics to organizational decision-making effectiveness and performance of organizations in Pakistan's textile industrial sector. The purpose of this paper is to examine the relationship between BDA and organizational decision-making as well as the degree to which BDA influences decision-making. Based on an adopted questionnaire, data was collected from 570 respondents. Data analysis using statistics reveals that Big Data Analytics has a favorable impact on an organization's capacity for decision-making and effectiveness. The results also show that there are no statistical differences between major firms and medium-sized businesses when it comes to the pathways from Big Data analytics to successful decision-making. Our findings advance managers' knowledge and comprehension by illuminating how Big Data Analytics might improve the effectiveness of decisions.

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Author Biographies

Assad Latif , North China University of Water Resources and Electric Power China.

School of Management and Economics

Raheela Fairdous, North China University of Water Resources and Electric Power China.

School of Management and Economics

Raheel Akhtar, National College of Business Administration and Economics Sub Campus Multan/Faysal Bank Limited, Pakistan.

Collection Control Unit, Retail Risk Management Department

Muffarah Ambreen, North China University of Water Resources and Electric Power China.

School of Management and Economics

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Published

2023-06-21

How to Cite

Latif , A., Fairdous, R. ., Akhtar, R. ., & Ambreen, M. . (2023). Exploring the Impact of Big Data Analytics on Organizational Decision-Making and Performance: Insights from Pakistan’s Industrial Sector. Pakistan Journal of Humanities and Social Sciences, 11(2), 1714–1732. https://doi.org/10.52131/pjhss.2023.1102.0475

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Articles