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Synergizing Data, ML, and IoT Strategies in M&A for Dynamic Decision Making in IT and Medical Device Supply Chains

EasyChair Preprint 12093

8 pagesDate: February 12, 2024

Abstract

This paper explores the synergistic integration of data, machine learning (ML), and Internet of Things (IoT) strategies within the context of Mergers and Acquisitions (M&A) to enhance dynamic decision-making processes in both Information Technology (IT) and Medical Device supply chains. As organizations navigate the complexities of M&A, leveraging advanced technologies becomes paramount for effective execution. The study delves into the strategic insights that propel these technologies, shedding light on their role in optimizing decision-making across the supply chain landscape.

Keyphrases: IT supply chain, Internet of Things, Mergers and Acquisitions, Strategic Insights, data-driven decision making, dynamic decision making, machine learning, medical devices, synergy

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:12093,
  author    = {Wajid Kumar},
  title     = {Synergizing Data, ML, and IoT Strategies in M&A for Dynamic Decision Making in IT and Medical Device Supply Chains},
  howpublished = {EasyChair Preprint 12093},
  year      = {EasyChair, 2024}}
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