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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | AI-ENABLED DECISION MAKING FOR BUSINESS OPERATION |
| Authors Name: | Amit Joshi |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_218815
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| Published Paper Id: | IJNRD2404542 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | http://doi.one/10.1729/Journal.38968 |
| Abstract: | 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. |
| Keywords: | Artificial Intelligence, Business Strategy, Decision Making, Business Operation and SCM |
| Cite Article: | "AI-ENABLED DECISION MAKING FOR BUSINESS OPERATION", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.f342-f351, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404542.pdf |
| Downloads: | 00034 |
| 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 |
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Published Paper ID:IJNRD2404542 Registration ID: 218815 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.38968 Page No: f342-f351 Country: Riga, Riga, Latvia Research Area: Management Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404542 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404542 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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