AI-ENABLED DECISION MAKING FOR BUSINESS OPERATION

AI-ENABLED DECISION MAKING FOR BUSINESS OPERATION

Registration ID: IJNRD_218815

Published ID: IJNRD2404542

DOI: http://doi.one/10.1729/Journal.38968

Amit Joshi

Artificial Intelligence, Business Strategy, Decision Making, Business Operation and SCM

This research study examined the adoption and impact of AI-enabled decision-making in business operations. Using a survey of 150 participants across various industries, the study aimed to gain insights into the adoption rates, perceived benefits, and challenges of AI technologies in business settings. The survey consisted of 15 structured questions focusing on topics such as the integration of AI technologies, the perceived impact on decision-making and performance, and the obstacles faced during AI implementation. The results indicated moderate to high levels of AI integration in business operations, with participants reporting positive views on AI's role in enhancing decision-making efficiency, optimizing processes, and improving business performance. Correlation analyses suggested a strong relationship between AI adoption and perceived improvements in efficiency and operational outcomes. Challenges such as data quality issues, initial costs, and lack of skilled personnel were identified as potential barriers to successful AI implementation. Despite these challenges, respondents expressed a strong willingness to continue investing in AI technologies, reflecting confidence in AI's potential to drive innovation and competitiveness. The study underscores the importance of leadership support, continuous training, and strategic planning to maximize the benefits of AI in business operations. These findings contribute to the understanding of AI's transformative impact on business and provide a foundation for future research and practical applications in AI-enabled decision-making.

Published Paper   E-Certificate

"AI-ENABLED DECISION MAKING FOR BUSINESS OPERATION", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.f342-f351, April-2024, Available :https://ijnrd.org/papers/IJNRD2404542.pdf

Volume 9 Issue 4, April-2024

Pages : f342-f351

Paper Reg. ID: IJNRD_218815

Published Paper Id: IJNRD2404542

Downloads: 000121149

Research Area: Management

Country: Riga, Riga, Latvia

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404542.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404542

DOI: http://doi.one/10.1729/Journal.38968

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Current Issue: Volume 10 | Issue 8

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