1st Australian International Conference on Industrial Engineering and Operations Management

Achieving Data Driven Decision-Making Quality Through Digital Leadership And Organizational Optimization.

Syed Muhammad Shariq, Felicita Chromjakova & Khaled Mohamed
Publisher: IEOM Society International
0 Paper Citations
Track: Data Analytics and Big Data

Study purpose is to provide a mechanism for overcoming the barriers towards implementation of big data solutions in true sense for the organizations, which are not ready for future industrial demands. Interrelated theoretical lens of contextual leadership theory and strategic alignment model along with data analysis of 279 top manager from FMCG sector in Pakistan representing south Asian region provide support in favor of presented mechanism. Result analysis shows that organizational optimizations including top management commitment, strategic planning and departmental collaboration mediates the relationship between digital leadership and big data analytics. Furthermore, big data analytics has direct positive effect of data driven decision-making.  Study has important managerial and theoretical implication that no matter how strong is the leadership, means through which the desire outcome could be achieve should not be ignore.

Published in: 1st Australian International Conference on Industrial Engineering and Operations Management, Sydney, Australia

Publisher: IEOM Society International
Date of Conference: December 21-22, 2022

ISBN: 979-8-3507-0542-3
ISSN/E-ISSN: 2169-8767