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

Autor: Shariq, Syed, Chromjaková, Felicita, Attia Mohamed, Khalid Ahmed
Předmět:
Zdroj: Proceedings of the International Conference on Industrial Engineering & Operations Management; 12/20/2022, p2818-2827, 10p
Abstrakt: 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. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index