Enhancing Organizational Efficiency through the Integration of Artificial Intelligence in Management Information Systems

doi:10.33050/atm.v7i3.2146

Paper

Enhancing Organizational Efficiency through the Integration of Artificial Intelligence in Management Information Systems

Published Sep 28, 2023 · Bhima Bhima, Achani Rahmania Az Zahra, Tio Nurtino

APTISI Transactions on Management (ATM)

UNKNOWN SJR score

38

Citations

1

Influential Citations

Full textSemantic Scholar

Abstract

This research delves into AI's role in enhancing Management Information Systems for organizational efficiency. It employs cross-sector case studies to showcase AI's potential in automating tasks, offering predictive insights from historical data, and bolstering decision-making. While AI promises substantial benefits, it also poses technical and ethical challenges during implementation. AI integration emerges as a game-changer, liberating organizations from mundane tasks through automation. Predictive analytics empowers firms to foresee trends, fostering a competitive edge in decision-making. Yet, obstacles include algorithm compatibility with existing systems and the demand for heightened technical proficiency. Ethical considerations loom large, demanding robust privacy and fairness guidelines in AI data usage. This research underscores the importance of employee AI training and multidisciplinary teams for tackling technical hurdles. Ethical principles should permeate AI development and utilization. The study recommends a three-fold strategy: First, prioritize employee AI training for seamless adoption. Second, establish cross-disciplinary teams to navigate technical complexities. Third, embed ethics in every AI facet to maintain trust. In conclusion, a holistic approach allows organizations to seamlessly integrate AI into Management Information Systems, yielding operational efficiencies, superior decision-making, and a competitive edge in a dynamic business landscape.

Study Snapshot

AI integration in Management Information Systems can enhance organizational efficiency and decision-making, but requires employee training, cross-disciplinary teams, and embedding ethics in every AI facet for seamless adoption and competitive edge.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

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Enhancing Organizational Efficiency through the Integration of Artificial Intelligence in Management Information Systems

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References

Innovation in Company Profit Management: Socialization of Numerical Calculation for Efficiency Improvement at PT Ajisaka

AI-based software tool improves profitability forecasting and business management at PT Ajisaka, promoting technological self-sufficiency and innovation.

The Effect of Human Resource Information Systems (HRIS) and Artificial Intelligence on Defense Industry Performance

HRIS and AI significantly improve employee performance in the defense industry, with more accurate HRIS applications leading to higher performance and better human resource decisions.

Management Information System

This paper classifies Management Information Systems into 11 categories, providing a clear understanding of their various functions and industry characteristics.

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