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Cited by 302Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and SocietyArtificial Intelligence in Education

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

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Al Naqbi, Humaid, Bahroun, Zied, Ahmed, Vian·2024·Sustainability
DOI 10.3390/su16031166
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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 of GAI in navigating AI challenges, ethical considerations, and the importance of analytical thinking in these domains. The research conducts a detailed content analysis, uncovering significant trends and gaps in current GAI applications and projecting future prospects. A key aspect of this study is the bibliometric analysis, which identifies dominant tools like Chatbots and Conversational Agents, notably ChatGPT, as central to GAI’s evolution. The findings indicate a robust and accelerating trend in GAI research, expected to continue through 2024 and beyond. Additionally, this study points to potential future research directions, emphasizing the need for improved GAI design and strategic long-term planning, particularly in assessing its impact on user experience across various professional fields.

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  • Integrating critical cognitive functions such as brainstorming, summarising, and drafting will likely lead to significant productivity gains in administrative, research, and teaching-related work.

    “Integrating critical cognitive functions such as brainstorming, summarising, and drafting will likely lead to significant productivity gains (Mollick & Euchner, 2023) not only in administrative and research-related work but also in teaching-related processes such as the creation of learning activities, lesson plans and learning resources, and assessments (Al-Naqbi et al., 2024).”

    From Higher Education's Generative Artificial Intelligence Paradox: The Meaning of Chatbot Mania (2024) · cites this paper as Al-Naqbi et al., 2024

    The review’s discussion under “Muhyidin et al. (2021) [28]” says generative AI can improve educational content creation and support teaching methods such as the flipped classroom. This supports the teaching-related extension attached to Al-Naqbi et al., but our copy does not specifically address productivity gains from creating lesson plans or assessments. The earlier claim about brainstorming, summarising and drafting is attached to a different citation. (LLM, conf=0.85)

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References 137 · Cited by 302

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Authors
Al Naqbi, H., Bahroun, Z., & Ahmed, V.
Affiliations
  • Department of Industrial Engineering, College of Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates
  • American University of Sharjah (AE)
Corresponding author
Bahroun, Zied
ORCID
Venue
Sustainability
Publisher
MDPI AG
Published
2024-01-30
Volume
16
Issue
3
Pages
1166
ISSN
2071-1050 (ISSN-L)
DOI
10.3390/su16031166
OpenAlex
W4391361874
Cited by
302
References
137
Citations by year
2026: 88 · 2025: 146 · 2024: 68
FWCI
44.74
Type
journal article
Language
en
Open access
Licence
Locations
  • Sustainability (publishedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
American University of Sharjah under the Open Access Program
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
Keywords
generative AI, labor productivity, institutional performance, ChatGPT, chatbots, AI ethics, analytical thinking, user experience, AI research trends

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