Please use this identifier to cite or link to this item:
https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/15078
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Gupta, Suneet | - |
dc.contributor.author | Sharma, Pragalbh | - |
dc.contributor.author | Chaudhary, Shweta | - |
dc.contributor.author | Kumar, Vinod | - |
dc.contributor.author | Singh, Surinder Pal | - |
dc.contributor.author | Lourens, Melanie | - |
dc.contributor.author | Beri, Nimisha | - |
dc.date.accessioned | 2024-04-08T04:11:07Z | - |
dc.date.available | 2024-04-08T04:11:07Z | - |
dc.date.issued | 2024 | - |
dc.identifier.citation | Vol. 12, No. 8s; pp. 251-264 | en_US |
dc.identifier.issn | 2147-6799 | - |
dc.identifier.uri | https://ijisae.org/index.php/IJISAE/article/view/4116 | - |
dc.identifier.uri | http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/15078 | - |
dc.description.abstract | The 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.iso | en | en_US |
dc.publisher | International Journal of Intelligent Systems and Applications in Engineering | en_US |
dc.publisher | Ismail Saritas | en_US |
dc.subject | AI Applications In Product Management | en_US |
dc.subject | Applications Of Generative Ai | en_US |
dc.subject | Ethical Considerations | en_US |
dc.subject | Generative Ai | en_US |
dc.subject | Generative AI Limitations | en_US |
dc.subject | Generative AI Tools | en_US |
dc.subject | Product Management | en_US |
dc.subject | Product Manager | en_US |
dc.title | Study on the Beneficial Impacts and Ethical Dimensions of Generative Ai in Software Product Management | en_US |
dc.type | Article | en_US |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Size | Format | |
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02+3256.pdf | 373.65 kB | Adobe PDF | View/Open |
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