Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/15078
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dc.contributor.authorGupta, Suneet-
dc.contributor.authorSharma, Pragalbh-
dc.contributor.authorChaudhary, Shweta-
dc.contributor.authorKumar, Vinod-
dc.contributor.authorSingh, Surinder Pal-
dc.contributor.authorLourens, Melanie-
dc.contributor.authorBeri, Nimisha-
dc.date.accessioned2024-04-08T04:11:07Z-
dc.date.available2024-04-08T04:11:07Z-
dc.date.issued2024-
dc.identifier.citationVol. 12, No. 8s; pp. 251-264en_US
dc.identifier.issn2147-6799-
dc.identifier.urihttps://ijisae.org/index.php/IJISAE/article/view/4116-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/15078-
dc.description.abstractThe field of generative artificial intelligence (GAI) has advanced significantly in recent years, and its effects may be seen across the software product management industry. This comprehensive literature review draws on relevant studies published between 2016 and 2023 and demonstrates the possible uses, advantages, and restrictions of generative AI in this domain. The research demonstrates that technology aids in ideation, market research, consumer insights, spec writing, and product development. By automating tasks like code production and analysing user input, it may cut down on expensive and time-consuming software development. However, there are still concerns about the precision and safety of the technology, as well as ethical implications. Practical applications of generative AI have the potential to greatly enhance software product management processes, leading to more effective use of resources, higher quality product results, and enhanced user experiences. © 2024, Ismail Saritas. All rights reserved.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Intelligent Systems and Applications in Engineeringen_US
dc.publisherIsmail Saritasen_US
dc.subjectAI Applications In Product Managementen_US
dc.subjectApplications Of Generative Aien_US
dc.subjectEthical Considerationsen_US
dc.subjectGenerative Aien_US
dc.subjectGenerative AI Limitationsen_US
dc.subjectGenerative AI Toolsen_US
dc.subjectProduct Managementen_US
dc.subjectProduct Manageren_US
dc.titleStudy on the Beneficial Impacts and Ethical Dimensions of Generative Ai in Software Product Managementen_US
dc.typeArticleen_US
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