Topic · AI and HR Technologies
Most cited papers in AI and HR Technologies
What are the most cited papers in AI and HR Technologies?
The most cited paper in AI and HR Technologies is "Artificial Intelligence in Human Resources Management: Challenges and a Path Forward" (Prasanna B. Tambe, Peter H. Cappelli, Valery Yakubovich, 2019), with 1,530 citations. Next come "Reflections on societal and business model transformation arising from digitization and big data analytics: A research agenda" (1,292) and "What can machine learning do? Workforce implications" (1,133).
Showing 50 of 100 papers. Every paper with more than 179 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Artificial Intelligence in Human Resources Management: Challenges and a Path Forward Prasanna B. Tambe, Peter H. Cappelli, Valery Yakubovich · California Management Review | Aug 2019 | 1,530 |
| 2 | Reflections on societal and business model transformation arising from digitization and big data analytics: A research agenda Claudia Loebbecke, Arnold Oskar Picot · The Journal of Strategic Information Systems | 22 Aug 2015 | 1,292 |
| 3 | What can machine learning do? Workforce implications Erik Brynjolfsson, Tom M. Mitchell · Science | 21 Dec 2017 | 1,133 |
| 4 | Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review Demetris Vrontis, Michael Christofi, Vijay Edward Pereira et al. · The International Journal of Human Resource Management | 12 Feb 2021 | 1,060 |
| 5 | Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities Patrick Mikalef, John Krogstie, Ilias O. Pappas et al. · Information & Management | 29 May 2019 | 1,058 |
| 6 | Unlocking the value of artificial intelligence in human resource management through AI capability framework Soumyadeb Chowdhury, Prasanta Kumar Dey, Sian Joel-Edgar et al. · Human Resource Management Review | 23 Mar 2022 | 887 |
| 7 | The transfer of training: what really matters Rebecca Grossman, Eduardo Salas · International Journal of Training and Development | 13 May 2011 | 886 |
| 8 | Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT Pawan S Budhwar et al. · Human Resource Management Journal | Jul 2023 | 882 |
| 9 | Generative AI at Work Erik Brynjolfsson, Danielle Li, Lindsey Raymond · The Quarterly Journal of Economics | 29 Dec 2024 | 880 |
| 10 | An evidence-based review of HR Analytics Janet H. Marler, John W. Boudreau · The International Journal of Human Resource Management | 11 Nov 2016 | 869 |
| 11 | Qualitative Data Analysis: An Introduction Maureen Kzillen, Nikki Jarrett · Journal of Advanced Nursing | 2 Aug 2007 | 858 |
| 12 | HR and analytics: why HR is set to fail the big data challenge David Angrave, Andy Charlwood, Ian Kirkpatrick et al. · Human Resource Management Journal | 2016 | 625 |
| 13 | Customer lifetime value research in marketing: A review and future directions Dipak C. Jain, Siddhartha Sunil Singh · Journal of Interactive Marketing | May 2002 | 592 |
| 14 | Educational data mining and learning analytics for 21st century higher education: A review and synthesis Hanan Ahmad Aldowah, Hosam Al‐Samarraie, Wan Mohamad Fauzy · Telematics and Informatics | 14 Jan 2019 | 554 |
| 15 | When eliminating bias isn’t fair: Algorithmic reductionism and procedural justice in human resource decisions David T. Newman, Nathanael J. Fast, Derek J. Harmon · Organizational Behavior and Human Decision Processes | 29 Jun 2020 | 540 |
| 16 | Assessing the impact of big data on firm innovation performance: Big data is not always better data Maryam Ghasemaghaei, Goran Calic · Journal of Business Research | 26 Nov 2019 | 535 |
| 17 | A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective Vijay Edward Pereira, Elias Hadjielias, Michael Christofi et al. · Human Resource Management Review | 9 Sep 2021 | 525 |
| 18 | The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance Siliang Tong, Nan Jia, Xueming Luo et al. · Strategic Management Journal | Jul 2021 | 515 |
| 19 | Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development Alina Köchling, Marius Wehner · BuR - Business Research | Nov 2020 | 478 |
| 20 | Design Your Own Job Through Job Crafting Evangelia Demerouti · European Psychologist | 2014 | 462 |
| 21 | Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry Chen–Fu Chien, Lifei Chen · Expert Systems with Applications | 6 Oct 2006 | 457 |
| 22 | An artificial intelligence algorithmic approach to ethical decision-making in human resource management processes Waymond Rodgers, James M. Murray, Abraham Stefanidis et al. · Human Resource Management Review | 29 Jun 2022 | 441 |
| 23 | Are we there yet? What's next for HR? Dave Ulrich, James Hamilton Dulebohn · Human Resource Management Review | 20 Feb 2015 | 436 |
| 24 | Ethics and discrimination in artificial intelligence-enabled recruitment practices Zhisheng Chen · Humanities and Social Sciences Communications | 13 Sep 2023 | 426 |
| 25 | Customer churn prediction in telecom using machine learning in big data platform Abdelrahim Kasem Ahmad, Assef Jafar, Kadan Aljoumaa · Journal Of Big Data | 20 Mar 2019 | 423 |
| 26 | The Impact of Artificial Intelligence on Workers’ Skills: Upskilling and Reskilling in Organisations Sofia Morandini, Federico Fraboni, Marco De Angelis et al. · Informing Science The International Journal of an Emerging Transdiscipline | 2023 | 421 |
| 27 | Adoption of artificial intelligence (AI) for talent acquisition in IT/ITeS organizations Rajasshrie Pillai, Brijesh Sivathanu · Benchmarking An International Journal | 14 Aug 2020 | 420 |
| 28 | The effects of training design, individual characteristics and work environment on transfer of training Raquel Velada, António Caetano, John W. Michel et al. · International Journal of Training and Development | 12 Nov 2007 | 406 |
| 29 | Artificial Intelligence as Augmenting Automation: Implications for Employment Feichin Ted Tschang, Esteve Almirall · Academy of Management Perspectives | 2 Sep 2020 | 405 |
| 30 | The impact of e-HR on the human resource management function Mark L. Lengnick‐Hall, Steve Moritz · Journal of Labor Research | Sep 2003 | 403 |
| 31 | An evidence-based review of e-HRM and strategic human resource management Janet H. Marler, Sandra L. Fisher · Human Resource Management Review | 21 Jun 2012 | 396 |
| 32 | Role of big data management in enhancing big data decision-making capability and quality among Chinese firms: A dynamic capabilities view Saqib Shamim, Jing Zeng, Syed Muhammad Shariq et al. · Information & Management | 12 Dec 2018 | 387 |
| 33 | Drivers of generative AI adoption in higher education through the lens of the Theory of Planned Behaviour Stanislav Hristov Ivanov, Mohammad S.A. Soliman, Aarni Tuomi et al. · Technology in Society | 25 Mar 2024 | 376 |
| 34 | The adoption of artificial intelligence in employee recruitment: The influence of contextual factors Yuan Pan, Fabian Jintae Froese, Geoffrey Liu et al. · The International Journal of Human Resource Management | 11 Feb 2021 | 376 |
| 35 | Smart HR 4.0 – how industry 4.0 is disrupting HR Brijesh Sivathanu, Rajasshrie Pillai · Human Resource Management International Digest | 15 May 2018 | 376 |
| 36 | Human resources for Big Data professions: A systematic classification of job roles and required skill sets Andrea De Mauro, Marco Greco, Michele Grimaldi et al. · Information Processing & Management | 8 Jun 2017 | 374 |
| 37 | Rebooting employees: upskilling for artificial intelligence in multinational corporations Akanksha Jaiswal, C. Joe Arun, Arup Varma · The International Journal of Human Resource Management | 16 Mar 2021 | 371 |
| 38 | Three-Way Complementarities: Performance Pay, Human Resource Analytics, and Information Technology Sinan Aral, Erik Brynjolfsson, Lynn Wu · Management Science | 10 Mar 2012 | 366 |
| 39 | Applying artificial intelligence: implications for recruitment Ashwani Kumar Upadhyay, Komal Khandelwal · Strategic HR Review | 8 Oct 2018 | 363 |
| 40 | Artificial intelligence and human workers interaction at team level: a conceptual assessment of the challenges and potential HRM strategies Ahmad Arslan, Cary L. Cooper, Zaheer Ahmed Khan et al. · International Journal of Manpower | 28 Jul 2021 | 360 |
| 41 | Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS) Wenjuan Fan, Jingnan Liu, Shuwan Zhu et al. · Annals of Operations Research | 19 Mar 2018 | 357 |
| 42 | A review of machine learning applications in human resource management Swati Garg, Shuchi Sinha, Arpan Kumar Kar et al. · International Journal of Productivity and Performance Management | 2 Feb 2021 | 355 |
| 43 | Learning from practice: how HR analytics avoids being a management fad Thomas Hedegaard Rasmussen, Dave Ulrich · Organizational Dynamics | 28 May 2015 | 344 |
| 44 | Breaking the vicious cycle of algorithmic management: A virtue ethics approach to people analytics Uri Gal, Tina Blegind Jensen, Mari‐Klara Stein · Information and Organization | 20 Apr 2020 | 338 |
| 45 | The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity Ulrich Leicht‐Deobald, Thorsten Busch, Christoph Schank et al. · Journal of Business Ethics | 7 Jun 2019 | 335 |
| 46 | The dark sides of people analytics: reviewing the perils for organisations and employees Lisa Giermindl, Franz Strich, Oliver Christ et al. · European Journal of Information Systems | 2 Jun 2021 | 319 |
| 47 | Artificial Intelligence in Tactical Human Resource Management: A Systematic Literature Review Alexis Megan Votto, Rohit Valecha, Peyman Najafirad et al. · International Journal of Information Management Data Insights | Nov 2021 | 316 |
| 48 | Human resources analytics: A systematization of research topics and directions for future research Alessandro Margherita · Human Resource Management Review | 9 Jan 2021 | 314 |
| 49 | Competing on talent analytics. Thomas H. Davenport, Jeanne G. Harris, Jeremy F. Shapiro · PubMed | Oct 2010 | 300 |
| 50 | Employees recruitment: A prescriptive analytics approach via machine learning and mathematical programming Dana Pessach, Gonen Singer, Dan Avrahami et al. · Decision Support Systems | 3 Apr 2020 | 298 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.