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Role of digital leadership, digital technologies and dynamic capabilities to influence big data analytical capabilities for data driven decision-making

Study offers a framework to enhance big data analytical capabilities for data driven decision making through digital leadership and digital capabilities with organizational oriented (digital strategic planning, digital departmental collaboration and top management commitment), employee oriented (digital social capital and digital literacy) and technological oriented (industrial internet of things) through the theoretical lens of dynamic capability view. Several studies has analysed the transformation process of the firm and all of them has highlighted the same problem or barriers in transformation of the firms. These barriers are organizational oriented, human oriented and technological oriented. Furthermore, these studies are conceptualize through qualitative studies but not even a single empirical or quantitative study has conducted that discusses these factors simultaneously. Current study identifies the given gap by discussing the organizational, human and technological factors all together with empirical or quantitative analysis to increase the generalizability of the study. Current study discusses these factors with a novelty and in terms of today’s needs. Organizational capabilities includes digital strategic planning, digital departmental collaboration and top management commitment. Human capabilities or factors includes digital social capital and digital literacy. Whereas, technological capability or factor includes industrial internet of things. Data collected through survey questioners from 277 employees working in chemical sectors of Pakistan at decision making positions in Pakistan. Study contribute towards dynamic capability view that which category of capabilities from organization, human and technological is more important for implementation and usage of big data so that organization can focus more on building and enhancing such capabilities.
ISBN:978-80-7678-253-2
EAN:9788076782532
Počet stran 47 stran
Datum vydání 30. 05. 2024
Pořadí vydání První
Jazyk anglický
Vazba E-kniha
Autor: Syed Muhammad Shariq
Nakladatelství Univerzita Tomáše Bati ve Zlíně
Tématická skupina 5 - Technické vědy
Neprodejná publikace. Publikaci je možné poptávat zde: Volně dostupné na http://hdl.handle.net/10563/54670
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