Research on Artificial Intelligence in Human Resource Management: Trends and Prospects
Keywords:
artificial intelligence, AI, HRM, human resource management, bibliometric analysis
Abstract
Applying Artificial Intelligence (AI) technologies in Human Resource Management (HRM) contributes to more capability, diverse insights, and analytical support to enhance people management. This study presents an integrated overview of the research trends through a PRISMA-compliant bibliometric review. We have analysed a dataset of 247 Scopus-indexed publications between the earliest available date (1993) till 2020 to understand the key themes and the related research focus. The study shows that most research has been conducted in recent years, with 70% of relevant papers published since 2010. The key themes subscribed to the development of this literature have been called out. The outcome of term co-occurrence analysis highlights majority research related to AI in HRM focuses on resource allocation, talent acquisition, and training and development. The research spotlights significant areas attributed to AI in HR functions that warrant additional research. Deliberation of research gaps and recommendations on future direction is also provided.
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References
E Albert (2019) AI in talent acquisition: a review of AI-applications used in recruitment and selection. 18(5), 215-221.
T Andalib, H Halim, M Islam (2020) Coding mechanism and soft systems technique applied to integrate the fuzzy based Decision Support System with HRM factors in the SMEs of Bangladesh. 769(1), 12042.
Arash Apornak, Sadigh Raissi, Abbas Keramati, Kaveh Khalili-Damghani (2021) Human resources optimization in hospital emergency using the genetic algorithm approach. 14(4), 1441-1448.
K Aviso, A Mayol, M Promentilla, J Santos, R Tan, A Ubando, K Yu (2018) Allocating human resources in organizations operating under crisis conditions: A fuzzy input-output optimization modeling framework. 128, 250-258.
J Bersin (2017) 4 powerful AI for HR examples that show promise.
Christian Bizer, Ralf Heese, Malgorzata Mochol, Radoslaw Oldakowski, Robert Tolksdorf, Rainer Eckstein (2005) The Impact of Semantic Web Technologies on Job Recruitment Processes. 1367-1381.
M Bogen (2019) All the ways hiring algorithms can introduce bias. 6.
T Bondarouk, C Brewster (2016) Conceptualizing the future of HRM and technology research. 27(21), 2652-2671.
Tanya Bondarouk, Emma Parry, Elfi Furtmueller (2017) Electronic HRM: four decades of research on adoption and consequences. 28(1), 98-131.
T Bondarouk (2014) Orchestrating electronic HRM.
A Bongard (2019) Artificial Intelligence Human Resource Management Algorithms for Employee Recruitment, Engagement, and Retention. 11(1), 52.
Bryan Buck, John Morrow (2018) AI, performance management and engagement: keeping your best their best. 17(5), 261-262.
P Capelli (2019) Data science can't fix hiring (yet).
N Chang (2010) The application of neural network to the allocation of enterprise human resources.
R Charlier, S Kloppenburg (2017) Artificial Intelligence in HR: a No-brainer.
Filipe Coelho, Rodrigo Reis, Cleidson De Souza (2019) A Genetic Algorithm for Human Resource Allocation in Software Projects. 01-08.
Tammy Cohen (2019) How to leverage artificial intelligence to meet your diversity goals. 18(2), 62-65.
Catherine Connelly, Christian Fieseler, Matej Černe, Steffen Giessner, Sut Wong (2020) Working in the digitized economy: HRM theory & practice. 31(1), 100762.
C, Barboza (2019) Artificial Intelligence and HR. 5(4), 715-720.
(2020) Human resource management: Strategic and international perspectives.
F Daojin (2010) Notice of Retraction: Research on the comprehensive evaluation of the human resource allocation based on Analytic Hierarchy Process and Fuzzy Mathematics. (2), 491-494.
T Davenport (2019) INFORMS Conference on Business Analytics & O.R. Davenport.
O De Oliveira, F Da Silva, F Juliani, L Barbosa, T Nunhes (2019) Bibliometric Method for Mapping the State-of-the-Art and Identifying Research Gaps and Trends in Literature: An Essential Instrument to Support the Development of Scientific Projects.
Chris Demchak (2019) China: Determined to dominate cyberspace and AI. 75(3), 99-104.
Naveen Donthu, Satish Kumar, Debmalya Mukherjee, Nitesh Pandey, Weng Lim (2021) How to conduct a bibliometric analysis: An overview and guidelines. 133, 285-296.
Ole Ellegaard, Johan Wallin (2015) The bibliometric analysis of scholarly production: How great is the impact?. 105(3), 1809-1831.
John Spahic, Salvatore Falletta (2013) Exploring HR Intelligence Practices in Fortune 1000 and Select Global Firms. 36(4), 28-38.
Francesca Fallucchi, Marco Coladangelo, Romeo Giuliano, Ernesto William De Luca (2020) Predicting Employee Attrition Using Machine Learning Techniques. 9(4), 86.
J Gikopoulos (2019) Alongside, not against balancing man with machine in the HR function.
N Guenole, S Feinzig (2019) Getting Started with IBM SPSS Statistics.
Fred Gulliford, Amy Parker Dixon (2019) AI: the HR revolution. 18(2), 52-55.
W Guo, T Li (2020) Accounting Professional Orientation and Talent Training Based on Artificial Intelligence. 1453(1), 12066.
S Hamouche (2021) Human resource management and the COVID-19 crisis: Implications, challenges, opportunities, and future organizational directions. 1, 1-16.
M Heric (2018) HR new digital mandate. Digital technologies have become essential for HR to engage top talent and add value to the business.
Company Bain (2019) Unknown Title.
B Hirsch (2019) Tinker, Tailor, Soldier, Spy. 40(4), 53-56.
(2017) What does it mean to trust AI systems?.
C Hsu, H Kuo, J Chien, W Fu, K Ma, C Chien (2019) Machine Learning based Intelligent Agent for Human Resource Planning in IC Design Service Industry.
L Huang, K Huang, H Huang, B Jaw (2004) Applying fuzzy neural network in human resource selection system. 04, 169-174.
L Huang, P Wu, R Kuo, H Huang (2001) A neural network modelling on human resource talent selection. 1(2/3/4), 206.
Ibm (2019) How can AI innovate acceleration for HR, IBM Watson talent.
M Ivanov, S Ivanov, N Terentieva, V Maltiz, J Kalyuzhnaya (2020) Fuzzy modeling in human resource management. 166, 13010.
Mohammad Jarrahi (2018) Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. 61(4), 577-586.
M Jatobá, J Santos, I Gutierriz, D Moscon, P Fernandes, J Teixeira (2019) Evolution of artificial intelligence research in human resources. 164, 137-142.
Ravin Jesuthasan (2017) HR's new role: rethinking and enabling digital engagement. 16(2), 60-65.
Q Jia, Y Guo, R Li, Y Li, Y Chen (2018) The Role of Artificial Intelligence in supporting Human Resource Management Practices: Conceptual Framework. 106-114.
Caryl Escolar-Jimenez (2018) Intelligent Shortlisting Process for Job Applicants Using Fuzzy Logic-Based Profiling. 8(3), 567-572.
Richard Johnson, Dianna Stone, Kimberly Lukaszewski (2020) The benefits of eHRM and AI for talent acquisition. 7(1), 40-52.
A Kaplan, M Haenlein (2019) Siri, Siri, in my hand: Who's the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. 62(1), 15-25.
Mandeep Kaur, A Rekha, A Resmi (2021) Research landscape of artificial intelligence in human resource management: A bibliometric overview. 255-262.
Mandeep Kaur, A Rekha, A Resmi (2021) Research landscape of artificial intelligence in human resource management: A bibliometric overview. 57, 255-262.
M Khalifa, M Al Baz (2022) The Impact of Applying Artificial Intelligence on Human Resources Crisis Management: An Analytical Study on COVID19. 11(1), 31.
Rahim Khanizad, Gholamali Montazer (2018) Optimal allocation of human resources based on operational performance of organizational units using fuzzy game theory. 5(1), 1466382.
Eduardo Kieling, Felipe Rodrigues, Alexsandro Filippetto, Jorge Barbosa (2019) Smartalloc. 365-368.
D Kiron, B Spindel (2019) Case study: Rebooting work for a digital era. 60(3), 1-10.
Kenneth Kovach, Charles Cathcart (1999) Human Resource Information Systems (HRIS): Providing Business with Rapid Data Access, Information Exchange and Strategic Advantage. 28(2), 275-282.
Denise Küpper, Kristina Klein, Franziska Völckner (2019) Gamifying employer branding: An integrating framework and research propositions for a new HRM approach in the digitized economy. 31(1), 100686.
W Kwak, Y Shi, K Jung (2003) Human resource allocation in a CPA firm: a fuzzy set approach. 20(3), 277-290.
C Leem (1996) Personnel classification for human resource allocation-A neural network approach. 3(3), 161-172.
M Lengnick-Hall, A Neely, C Stone (2018) Human resource management in the digital age: Big data, HR analytics and artificial intelligence. 1-30.
Corissa Leong (2018) Technology & recruiting 101: how it works and where it's going. 17(1), 50-52.
D Li, T Tong, Y Xiao (2021) Is China Emerging as the Global Leader in AI? Harvard Business Review.
C Lin, M Gen (2008) Multi-criteria human resource allocation for solving multistage combinatorial optimization problems using multiobjective hybrid genetic algorithm. 34(4), 2480-2490.
Martina Linnenluecke, Mauricio Marrone, Abhay Singh (2020) Conducting systematic literature reviews and bibliometric analyses. 45(2), 175-194.
D Litman (2016) Natural language processing for enhancing teaching and learning.
Somayya Madakam, Rajesh Holmukhe, Durgesh Jaiswal (2019) The Future Digital Work Force: Robotic Process Automation (RPA). 16.
Souvik Maity (2019) Identifying opportunities for artificial intelligence in the evolution of training and development practices. 38(8), 651-663.
Amelia Manuti, Pasquale De Palma (2018) Digital HR.
Agata Markevich, Valentina Sidorenko (2019) Automating of Human Resources Management using Genetic Algorithms. 1-9.
John Martyn (1964) BIBLIOGRAPHIC COUPLING. 20(4), 236-236.
S Mcgovern, V Pandey, S Gill, T Aldrich, C Myers, C Desai, . Balasubramanian, V (2018) New Thinking of Human Resource Management in the Age of Artificial Intelligence.
J Meister (2019) Ten HR Trends in The Age of Artificial Intelligence.
J Meister (2018) The STEEPLE Framework for Employee Experience Trends. 1-11.
Timothy Meline (2006) Selecting Studies for Systemic Review: Inclusion and Exclusion Criteria. 33(Spring), 21-27.
M Mentzelopoulos, D Economou (2020) Doctoral Colloquium-A Methodology to Evaluate the Use of Serious Games in Achieving Deep Learning: An Application for Andragogy in Human Resource Development. 399-402.
D Moher, A Liberati, J Tetzlaff, D Altman, Prisma Group (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. 6(7), 1000097.
D Nawaz (2019) ROBOTIC PROCESS AUTOMATION FOR RECRUITMENT PROCESS. 10(2).
D Nicastro (2020) Ways Artificial Intelligence is Reinventing Human Resources.
W Niehueser, G Boak (2020) Introducing artificial intelligence into a human resources function.
M Nocker, V Sena (2019) Big data and human resources management: The rise of talent analytics. 8(10), 273.
J Nunn (2019) HR Tech Trends: AI, Automation, and Cloud-Based HR Systems.
James Ong, Sowmya Ramachandran (2003) An Intelligent Tutoring System Approach to Adaptive Instructional Systems. 19(6), 1-6.
Saeed Pahlevan-Sharif, Paolo Mura, Sarah Wijesinghe (2019) A systematic review of systematic reviews in tourism. 39, 158-165.
W Park (2018) Integration of Artificial Intelligence in Human Resource Management: Opportunities, Challenges, and Future Perspectives Based on the Financial Engineering and Risk Management Perspective. 7(3).
Emma Parry, Shaun Tyson (2011) Desired goals and actual outcomes of e-HRM. 21(3), 335-354.
K Priyashantha, A De Alwis, Indumathi Welmilla (2021) Gender stereotypes change outcomes: a systematic literature review. 5(5), 450-466.
C Qin, H Zhu, T Xu, C Zhu, C Ma, E Chen, H Xiong (2020) An enhanced neural network approach to person-job fit in talent recruitment. 38(2), 1-33.
Jayanthi Ranjan, D Goyal, S Ahson (2008) Data mining techniques for better decisions in human resource management systems. 3(5), 464.
A Rogers (2018) How is AI Humanizing People Management?. 25-26.
Thomas Saaty, Kirti Peniwati, Jen Shang (2007) The analytic hierarchy process and human resource allocation: Half the story. 46(7-8), 1041-1053.
A Schweyer (2018) Predictive Analytics and Artificial Intelligence in People Management.
Salim Sheikh, Vineeta Tiwari, Sunita Singhal (2019) Retracted: Generative model chatbot for Human Resource using Deep Learning. 126-132.
Parbudyal Singh, Dale Finn (2003) The effects of information technology on recruitment. 24(3), 395-408.
A Sivaraman (2020) Soft Side of Digital Transformation: The Connected Employee. 7(1), 121-128.
Brijesh Sivathanu, Rajasshrie Pillai (2018) Smart HR 4.0 - how industry 4.0 is disrupting HR. 26(4), 7-11.
Cameron Smith (2019) An employee's best friend? How AI can boost employee engagement and performance. 18(1), 17-20.
Dianna Stone, Diana Deadrick, Kimberly Lukaszewski, Richard Johnson (2015) The influence of technology on the future of human resource management. 25(2), 216-231.
Stefan Strohmeier, Franca Piazza (2015) Artificial Intelligence Techniques in Human Resource Management-A Conceptual Exploration. 149-172.
Nachiappan Subramanian, Ramakrishnan Ramanathan (2012) A review of applications of Analytic Hierarchy Process in operations management. 138(2), 215-241.
Prasanna Tambe, Peter Cappelli, Valery Yakubovich (2019) Artificial Intelligence in Human Resources Management: Challenges and a Path Forward. 61(4), 15-42.
Mohan Thite (2018) Future directions in electronic/digital HRM. 268-282.
Ashwani Upadhyay, Komal Khandelwal (2018) Applying artificial intelligence: implications for recruitment. 17(5), 255-258.
A Upadhyay, K Khandelwal (2019) Artificial intelligence-based training learning from application. Development and Learning in Organizations. 103.
Nees Van Eck, Ludo Waltman (2010) Software survey: VOSviewer, a computer program for bibliometric mapping. 84(2), 523-538.
Sahar Vahdat (2021) The role of IT-based technologies on the management of human resources in the COVID-19 era. 51(6), 2065-2088.
Patrick Van Esch, J Black (2019) Factors that influence new generation candidates to engage with and complete digital, AI-enabled recruiting. 62(6), 729-739.
G Walford-Wright, W Scott-Jackson (2018) Talent Rising; people analytics and technology driving talent acquisition strategy. 107.
Tian Wang, Jianbang Lin (2019) Research and application of practice teaching reform of HRM major under the background of AI. 10, 314-316.
Yuyang Ye, Hengshu Zhu, Tong Xu, Fuzhen Zhuang, Runlong Yu, Hui Xiong (2019) Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach. 110, 718-727.
Cemal Zehir, Tuğba Karaboğa, Doğan Başar (2015) The Transformation of Human Resource Management and Its Impact on Overall Business Performance: Big Data Analytics and AI Technologies in Strategic HRM. 18, 265-279.
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2023-06-17
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