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Generative artificial intelligence for literature reviews
16 references·0 citing·54 second hopsampled
Generative artificial intelligence for literature reviews (2026)Generative artificial intelligence for li…The current state of artificial intelligence generative language models is more creative than humans on divergent thinking tasks (2024)The current state of artifici…The Janus Effect of Generative AI: Charting the Path for Responsible Conduct of Scholarly Activities in Information Systems (2023)The Janus Effect of Generativ…Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search? (2023)Can ChatGPT Write a Good Bool…Bias in artificial intelligence algorithms and recommendations for mitigation (2023)Bias in artificial intelligen…Are ChatGPT and large language models “the answer” to bringing us closer to systematic review automation? (2023)Are ChatGPT and large languag…Scopus 1900–2020: Growth in articles, abstracts, countries, fields, and journals (2022)Scopus 1900–2020: Growth in a…The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: an…Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases (2021)Growth rates of modern scienc…Artificial intelligence and the conduct of literature reviews (2021)Artificial intelligence and t…An open source machine learning framework for efficient and transparent systematic reviews (2021)An open source machine learni…Best-Practice Recommendations for Producers, Evaluators, and Users of Methodological Literature Reviews (2020)Best-Practice Recommendations…A Tool for Addressing Construct Identity in Literature Reviews and Meta-Analyses1 (2016)A Tool for Addressing Constru…What literature review is not: diversity, boundaries and recommendations (2014)What literature review is not…Synthesizing information systems knowledge: A typology of literature reviews (2014)Synthesizing information syst…On being ‘Systematic’ in Literature Reviews in IS (2014)On being ‘Systematic’ in Lite…Positioning and Presenting Design Science Research for Maximum Impact1 (2013)Positioning and Presenting De…Social Theory and Social Structure (1958)Design Science in Information Systems Research1 (2004)Building theories from case study research (2009)Toward Meaningful Engagement: A Framework for Design and Research of Gamified Information Systems1 (2017)Design Science Research Contributions: Finding a Balance between Artifact and Theory (2018)HTMT2–an improved criterion for assessing discriminant validity in structural equation modeling (2021)User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)Scoping studies: towards a methodological framework (2005)Cochrane Handbook for Systematic Reviews of Interventions (2008)The Rise of Motivational Information Systems: A Review of Gamification Research (2017)Patient‐reported outcome measures (PROMs): A review of generic and condition‐specific measures and a discussion of trends and issues (2021)Revealing the theoretical basis of gamification: A systematic review and analysis of theory in research on gamification, serious games and game-based learning (2021)The Structure of Scientific Revolutions (1963)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)A systematic review of research on coopetition: Toward a multilevel understanding (2016)Why do people play games? A meta-analysis (2017)Data governance: A conceptual framework, structured review, and research agenda (2019)Information Systems Success: The Quest for the Dependent Variable (1992)Review : Knowledge Management and Knowledge Management Systems: Conceptual Foundations And Research Issues1,2 (2001)From a literature review to a conceptual framework for sustainable supply chain management (2008)Advancing Theory with Review Articles (2019)The public value of E-Government – A literature review (2019)The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration (2009)Promoting an open research culture (2015)Rayyan—a web and mobile app for systematic reviews (2016)Artificial intelligence in systematic reviews: promising when appropriately used (2023)Artificial intelligence for literature reviews: opportunities and challenges (2024)Little Science, Big Science (1963)Networks of Scientific Papers (1965)ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health (2023)Science education in an age of misinformation (2023)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic (2021)PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews (2021)PRISMA-S: an extension to the PRISMA Statement for Reporting Literature Searches in Systematic Reviews (2021)The Handbook of Social Psychology (1969)Methods of Meta-Analysis: Correcting Error and Bias in Research Findings (2015)The blended future of automation and AI: Examining some long-term societal and ethical impact features (2023)The SAFE procedure: a practical stopping heuristic for active learning-based screening in systematic reviews and meta-analyses (2024)Some Moral and Technical Consequences of Automation (1960)On language and connectionism: Analysis of a parallel distributed processing model of language acquisition (1988)Abstracts written by ChatGPT fool scientists (2023)ChatGPT and generative artificial intelligence: an exploratory study of key benefits and challenges in operations and supply chain management (2023)From Scarcity to Abundance: Scholars and Scholarship in an Age of Generative Artificial Intelligence (2023)Assessing the nexus of Generative AI adoption, ethical considerations and organizational performance (2024)PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies (2018)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension (2020)A multinational study on the factors influencing university students’ attitudes and usage of ChatGPT (2024)Bias recognition and mitigation strategies in artificial intelligence healthcare applications (2025)Evaluating and addressing demographic disparities in medical large language models: a systematic review (2025)
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References

  • 2021The PRISMA 2020 statement: an updated guideline for reporting systematic reviews107,380 cited
  • 2013Positioning and Presenting Design Science Research for Maximum Impact13,052 cited
  • 2014Synthesizing information systems knowledge: A typology of literature reviews1,903 cited
  • 2021An open source machine learning framework for efficient and transparent systematic reviews1,149 cited
  • 2023Bias in artificial intelligence algorithms and recommendations for mitigation617 cited
  • 2014What literature review is not: diversity, boundaries and recommendations547 cited
  • 2021Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases504 cited
  • 2014On being ‘Systematic’ in Literature Reviews in IS489 cited
  • 2021Artificial intelligence and the conduct of literature reviews298 cited
  • 2023The Janus Effect of Generative AI: Charting the Path for Responsible Conduct of Scholarly Activities in Information Systems292 cited
  • 2024The current state of artificial intelligence generative language models is more creative than humans on divergent thinking tasks225 cited
  • 2020Best-Practice Recommendations for Producers, Evaluators, and Users of Methodological Literature Reviews221 cited
  • 2022Scopus 1900–2020: Growth in articles, abstracts, countries, fields, and journals211 cited

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2016
A Tool for Addressing Construct Identity in Literature Reviews and Meta-Analyses1
210 cited
  • 2023Are ChatGPT and large language models “the answer” to bringing us closer to systematic review automation?206 cited
  • 2023Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?205 cited
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