Data-driven decision making for long-term business success:

"In today's academic environment, the challenge of ensuring lasting commercial and economic success for organizations has become more daunting than ever before. The relentless surge in data-driven decision-making, based on innovative technologies such as blockchain, IoT, and AI, has create...

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Bibliographische Detailangaben
Weitere Verfasser: Hadoussa, Slim 1980- (HerausgeberIn), Obaid, Ahmed J. (HerausgeberIn), Rajest, S. Suman 1988- (HerausgeberIn), Regin, R. 1985- (HerausgeberIn), Singh, Sonia 1978- (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2024.
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Online-Zugang:Volltext
Zusammenfassung:"In today's academic environment, the challenge of ensuring lasting commercial and economic success for organizations has become more daunting than ever before. The relentless surge in data-driven decision-making, based on innovative technologies such as blockchain, IoT, and AI, has created a digital frontier filled with complexity. Maintaining a healthy firm that can continually provide innovative products and services to the public while fueling economic growth has become a formidable puzzle. Moreover, this digital transformation has ushered in new risks, from pervasive cybersecurity threats to the ethical challenges surrounding artificial intelligence. In this evolving landscape, academic scholars face the pressing challenge of deciphering the path to long-term organizational prosperity in an era dominated by data.Data-Driven Decision Making for Long-Term Business Success serves as guidance and insights amidst this academic challenge. It is the definitive solution for scholars seeking to uncover the complexities of data-driven decision-making and its profound impact on organizational success. Each meticulously curated chapter delves into a specific facet of this transformative journey, from the implications of modern technologies and pricing optimization to the ethics underpinning data-driven strategies and the metaverse's influence on decision-making."--
Beschreibung:34 PDFs (484 pages)
Also available in print.
Format:Mode of access: World Wide Web.
Bibliographie:Includes bibliographical references and index.
ISBN:9798369321942
Zugangseinschränkungen:Restricted to subscribers or individual electronic text purchasers.

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