Atefeh Shoomal

ORCID: 0009-0001-2330-8361
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About
Contact & Profiles
Research Areas
  • Blockchain Technology Applications and Security
  • Big Data and Business Intelligence
  • Supply Chain Resilience and Risk Management
  • Consumer Retail Behavior Studies
  • Scheduling and Optimization Algorithms
  • Customer Service Quality and Loyalty
  • Advanced Manufacturing and Logistics Optimization
  • Customer churn and segmentation
  • Digital Transformation in Industry
  • Supply Chain and Inventory Management
  • Impact of AI and Big Data on Business and Society
  • Consumer Behavior in Brand Consumption and Identification
  • AI in Service Interactions

The University of Texas at Arlington
2023-2025

Artificial Intelligence (AI) integration into Customer Relationship Management (CRM) within enterprise information systems (EIS) has provided businesses with transformative opportunities to improve customer engagement and operational efficiency. Due the accelerating momentum of AI technologies digital evolution prompted by COVID-19 pandemic, there been an increase in AI-based CRM research, yet comprehensive systematic studies are still lacking. This study presents overview historical...

10.1080/17517575.2024.2351869 article EN Enterprise Information Systems 2024-05-15

The objective of this study is to conduct an analysis the scientific literature on application Internet Things (IoT) and artificial intelligence (AI) in enhancing supply chain operations. This research applies a dual approach combining bibliometric topic modeling explore both quantitative citation trends qualitative thematic insights. By examining 810 qualified articles, published between 2011 2024, aims identify main topics, key authors, influential sources, most-cited articles within...

10.3390/iot6020021 article EN cc-by IoT 2025-03-25

By integrating Artificial Intelligence (AI) with Customer Relationship Management (CRM), businesses can enhance customer engagement and streamline operations. Rapid advancements in AI along the digital shift triggered by COVID-19 pandemic have created a surge AI-CRM research. Yet comprehensive review of this burgeoning field remains elusive. The purpose our study is to bridge gap providing insights into evolution thematic landscape Through application bibliometric Latent Dirichlet Allocation...

10.1109/ictmod59086.2023.10438124 article EN 2023-11-22

Production Planning and Control (PPC) plays a key role in stabilizing improving manufacturing processes under external internal uncertainties by providing transparency the whole system. This study focuses on PPC with such as losses of work-in-process products during contact lens process. Although are expected, yield rates uncertain vary at different production stages. A hybrid agent-based simulation (ABS) discrete-event (DES) approach was utilized to resemble underlying dynamics system...

10.1109/wsc60868.2023.10407418 article EN 2018 Winter Simulation Conference (WSC) 2023-12-10
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