A Comparative Study of Awareness and Usage of Artificial Intelligence and Between HR and Finance Professionals

The importance of conducting a comparative study of awareness and usage of Artificial Intelligence (AI) between HR and Finance professionals lies in understanding how AI adoption varies across these two critical organizational functions. HR professionals leverage AI to streamline recruitment, enhance employee engagement, and optimize workforce management, while finance professionals use AI for financial forecasting, fraud detection, and risk management. By examining the levels of awareness and specific applications in both domains, the study can highlight gaps in understanding and adoption, enabling organizations to develop targeted training programs and strategic interventions to enhance AI integration. Such insights are crucial for ensuring that professionals in both fields are equipped to harness AI’s potential effectively. Moreover, this study is significant as it provides a framework for assessing the impact of AI on organizational efficiency, decision-making, and innovation across diverse functions. By comparing the experiences of HR and Finance professionals, the research can reveal industry-specific challenges and opportunities, informing policy-making and investment in AI technologies. It also helps identify best practices in AI implementation that can be cross-applied to other functions, fostering a more cohesive and adaptive organizational culture. Ultimately, this research contributes to the broader discourse on AI’s role in reshaping the workforce and driving business transformation.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-02-27
DOI
https://doi.org/10.52783/jisem.v10i14s.2390
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

A Comparative Study of Awareness and Usage of Artificial Intelligence and Between HR and Finance Professionals

Sucheta Kanchi
Journal of Information Systems Engineering & Management
Impact of AI and Big Data on Business and Society
article

A Comparative Study of Awareness and Usage of Artificial Intelligence and Between HR and Finance Professionals

Sucheta Kanchi
article en

Abstract

The importance of conducting a comparative study of awareness and usage of Artificial Intelligence (AI) between HR and Finance professionals lies in understanding how AI adoption varies across these two critical organizational functions. HR professionals leverage AI to streamline recruitment, enhance employee engagement, and optimize workforce management, while finance professionals use AI for financial forecasting, fraud detection, and risk management. By examining the levels of awareness and specific applications in both domains, the study can highlight gaps in understanding and adoption, enabling organizations to develop targeted training programs and strategic interventions to enhance AI integration. Such insights are crucial for ensuring that professionals in both fields are equipped to harness AI’s potential effectively. Moreover, this study is significant as it provides a framework for assessing the impact of AI on organizational efficiency, decision-making, and innovation across diverse functions. By comparing the experiences of HR and Finance professionals, the research can reveal industry-specific challenges and opportunities, informing policy-making and investment in AI technologies. It also helps identify best practices in AI implementation that can be cross-applied to other functions, fostering a more cohesive and adaptive organizational culture. Ultimately, this research contributes to the broader discourse on AI’s role in reshaping the workforce and driving business transformation.

Journal of Information Systems Engineering & ManagementVol. 10(14s)
Openalex Percentile: Top 96%
Impact of AI and Big Data on Business and Society
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A Comparative Study of Awareness and Usage of Artificial Intelligence and Between HR and Finance Professionals — Sucheta Kanchi · Journal of Information Systems Engineering & Management (2025) | TGRS Research Map | TGRS