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Science·G Space·Evidence-backed gain·Published 2026-08-07

Enhancing Work Productivity through Generative Artificial Intelligence: A Comprehensive Literature Review

Abstract: In this review, utilizing the PRISMA methodology, a comprehensive analysis of the use of Generative Artificial Intelligence (GAI) across diverse professional sectors is presented, drawing from 159 selected research publications. This study provides an insightful overview of the impact of GAI on enhancing institutional performance and work productivity, with a specific focus on sectors including academia, research, technology, communications, agriculture, government, and business. It highlights the critical role…

TRV-2026-0682Peer-reviewedPermanent record — cite & verify
Enhancing Work Productivity through Generative Artificial Intelligence: A Comprehensive Literature Review

"AI Expo (chatbot characters)" by nakashi is licensed under CC BY-SA 2.0. To view a copy of this license, visit https://creativecommons.org/licenses/by-sa/2.0/.

The quick read

By January 30, 2024, a peer-reviewed review in Sustainability synthesized 159 studies using PRISMA to assess generative AI use across seven professional sectors. It reported that tools like ChatGPT chatbots were dominant and linked to gains in institutional performance and work productivity.

The synthesis matters because it moves beyond single-sector anecdotes to a cross-sector view of productivity effects, but it remains a literature review rather than a direct measurement of output, leaving open how large, durable, or evenly distributed those productivity gains are across different workplaces and user groups.

Main points
  • Review used PRISMA methodology and analyzed 159 selected research publications.
  • Bibliometric analysis identified Chatbots and Conversational Agents, notably ChatGPT, as dominant tools central to GAI evolution.
  • Authors reported a robust and accelerating trend in GAI research expected to continue through 2024 and beyond.
Gain

Generative AI tools, especially ChatGPT chatbots, were associated with enhanced institutional performance and work productivity across sectors including academia, research, technology, communications, agriculture, government, and business as of early 2024.

The rundown

The authors conducted a PRISMA-based literature review of 159 publications examining GAI use in academia, research, technology, communications, agriculture, government, and business.

Content analysis uncovered trends and gaps in current applications, while bibliometric analysis pointed to Chatbots and Conversational Agents, notably ChatGPT, as central to GAI's evolution.

The review framed findings around navigating AI challenges, ethical considerations, and analytical thinking, and called for improved GAI design and long-term planning to assess user experience impacts.

Sources

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The debate