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

EasyChair Preprint no. 12093

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

@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 no. 12093},

  year = {EasyChair, 2024}}