Artificial intelligence in personal development from cradle to grave: a comprehensive review of HRD literature

Authors

  • Francesco Laviola
  • Nicola Cucari
  • Harry Novic

DOI:

https://doi.org/10.7433/s123.2024.06%20

Keywords:

artificial intelligence; human resource management; human resource development; personal development; literature review; bibliometric analysis

Abstract

Framing of the research. Artificial intelligence (AI) is transforming the way organisations manage human resources, injecting new capabilities into human resource management (HRM). There is a pressing need to examine new and more effective approaches to human resource development (HRD).
Purpose of the paper. This paper aims to shed light on current knowledge of AI in the HRD domain, developing a comprehensive view of its role in the employee’s journey.
Methodology. Keyword co-occurrence analysis and bibliographic coupling analysis were performed on a total of 151 papers published between 2002 and 2022. A similarity visualisation programme (VOSviewer) was used to showcase the results visually.
Results. The findings highlight the top five authors, sources, papers, and institutions in terms of the prolificacy of contributions in the field. The relevant contribution of this study is the identification and classification of the main topics and research streams in the academic literature. Five main bibliographic clusters are identified, unveiling the five most prominent topics in the field: i) AI in HR and contextual factors; ii) AI in education and future skills; iii) AI Coaching with chatbots; iv) AI in HR recruitment and training; v) AI in soft skills development.
Research limitations. It should be acknowledged that the findings are rooted in one database, Scopus, and only publications in English were considered.
Managerial implications. We offer three theoretical and institutional implications for advancing further research on AI in HRD. Furthermore, we outline six major takeaways and future lines of research stemming from our findings, resulting in a novel framework that can also be of practical interest to companies.
Originality of the paper. This is the first bibliometric study in the HRD and AI field from the viewpoint of personal development. Thus, we provide a first systematisation of the contributions developed in the last twenty years in this novel field of research.

References

ACEMOGLU D., RESTREPO P. (2020), “Robots and jobs: Evidence from us labor markets”, Journal of Political Economy, vol. 128, n. 6, pp. 2188-2244.

AVIV I., BARGER A., PYATIGORSKY S. (2021), “Novel Machine Learning Approach for Automatic Employees’ Soft Skills Assessment: Group Collaboration Analysis Case Study”, in Nfaoui E.H. A.C. Boumhidi J., Oubenaalia Y., Azough A. (Ed). 5th International Conference on Intelligent Computing in Data Sciences, ICDS 2021. Institute of Electrical and Electronics Engineers Inc.

BANKINS S. (2021), “The ethical use of artificial intelligence in human resource management: a decision-making framework”, Ethics and Information Technology, vol. 23, n. 4, pp. 841-854.

BEKAR.C., CARLAW K., LIPSEY R. (2017), “General purpose technologies in theory, application and controversy: a review”, Journal of Evolutionary Economics, vol. 28, n. 5, pp. 1005-1033.

BENNETT E.E., MCWHORTER R.R. (2022), “Dancing in the Paradox: Virtual Human Resource Development, Online Teaching, and Learning”, Advances in Developing Human Resources, vol. 24, n. 2, pp. 99-116.

BHARGAVA A., BESTER M., BOLTON L. (2021), “Employees’ Perceptions of the Implementation of Robotics, Artificial Intelligence, and Automation (RAIA) on Job Satisfaction, Job Security, and Employability”, Journal of Technology in Behavioral Science, vol. 6, n. 1, pp. 106-113.

BORNMANN L., HAUNSCHILD R., HUG S.E. (2018), “Visualizing the context of citations referencing papers published by Eugene Garfield: A new type of keyword co-occurrence analysis”, Scientometrics, vol. 114, n. 2, pp. 427-437.

BUDHWAR P., MALIK A., DE SILVA M.T.T., THEVISUTHAN P. (2022), “Artificial intelligence - challenges and opportunities for international HRM: a review and research agenda”, The International Journal of Human Resource Management, vol. 33, n. 6, pp. 1065-1097.

CAPUTO F., CILLO V., CANDELO E., LIU Y. (2019), “Innovating through digital revolution: The role of soft skills and Big Data in increasing firm performance”, Management Decision, vol. 57, n. 8, pp. 2032-2051.

CHANG X., WANG B., HUI B. (2022), “Towards an Automatic Approach for Assessing Program Competencies”, ACM International Conference Proceeding Series. Association for Computing Machinery, p. 119-129.

CHUANG Y.C., HU S.K., LIOU J.J.H., TZENG G.H. (2020), “A data-driven madm model for personnel selection and improvement”, Technological and Economic Development of Economy, vol. 26, n. 4, pp. 751-784.

COLOMBO E., MERCORIO F., MEZZANZANICA M. (2019), “AI meets labor market: Exploring the link between automation and skills”, Information Economics and Policy, vol. 47, pp. 27-37.

CROSSAN M.M., APAYDIN M. (2010), “A multi-dimensional framework of organizational innovation: A systematic review of the literature”, Journal of Management Studies, vol. 47, n. 6, pp. 1154-1191.

DA SILVA C.F.D., DE ALBUQUERQUE A.P.G., DE MELO F.J.C., CALÁBRIA F.A., DE MEDEIROS D.D. (2020), “A fuzzy approach to the strategic development of human capital in the electric sector”, Computers and Industrial Engineering, vol. 149, p. 106787.

DE VILLIERS R. (2021), “Seven principles to ensure future-ready accounting graduates - a model for future research and practice”, Meditari Accountancy Research, vol. 29, n. 6, pp. 1354-1380.

DONTHU N., KUMAR S., MUKHERJEE D., PANDEY N., LIM W.M. (2021), “How to conduct a bibliometric analysis: An overview and guidelines”, Journal of Business Research, vol. 133, pp. 285-296.

ELLIS-BRUSH K. (2021), “Augmenting Coaching Practice through digital methods”, International Journal of Evidence Based Coaching and Mentoring, n. S15, pp. 187-197.

ELSEVIER (2023), What does “relevance” mean in scopus? Retrieved from https://service.elsevier.com/app/answers/detail/a_id/14182/supporthub/scopus/#

EUROPEAN PARLIAMENT (2023), “AI Act: a step closer to the first rules on Artificial Intelligence” | News | European Parliament (2023). Available from: https://www.europarl.europa.eu/news/en/press-room/20230505IPR84904/ai-act-a-step-closer-to-the-first-rules-on-artificial-intelligence.

FACHRIZAL M.R., RADLIYA N.R., MANIK A. (2019), “Development of E-Recruitment as a Decision Support System for Employee Recruitment”, IOP Conference Series: Materials Science and Engineering, vol. 662, n. 2, p. 022018.

FAN D., BRESLIN D., CALLAHAN J.L., ISZATT-WHITE M. (2022), “Advancing literature review methodology through rigour, generativity, scope and transparency”, International Journal of Management Reviews, vol. 24, n. 2, pp. 171-180.

FARERI S., MELLUSO N., CHIARELLO F., FANTONI G. (2021), “SkillNER: Mining and mapping soft skills from any text”, Expert Systems with Applications, vol. 184, p. 115544.

FLETCHER L. (2019), “How can personal development lead to increased engagement? The roles of meaningfulness and perceived line manager relations”, The International Journal of Human Resource Management, vol. 30, n. 7, pp. 1203-1226.

GKINKO L., ELBANNA A. (2022), “AI Chatbots sociotechnical research: An overview and Future Directions”, in Bednar P. B.A.M. Bednar P., Islind A.S., Hult H.V., Hult H.V., Nolte A., Nolte A., Rajanen M., Zaghloul F., Ravarini A. (Ed). CEUR Workshop Proceedings. CEUR-WS, p. 173-183.

GRASSMANN C., SCHERMULY C.C. (2021), “Coaching With Artificial Intelligence: Concepts and Capabilities”, Human Resource Development Review, vol. 20, n. 1, pp. 106-126.

HADDAWAY N.R., PAGE M.J., PRITCHARD C.C., MCGUINNESS L.A. (2022), “PRISMA2020: An R package and Shiny app for producing PRISMA 2020-compliant flow diagrams, with interactivity for optimised digital transparency and Open Synthesis”, Campbell Systematic Reviews, vol. 18, n. 2, p. e1230.

HÄRTING R.C., SCHMIDT S., KRUM D. (2021), “Potentials of Emotionally Sensitive Applications Using Machine Learning”, in Zimmermann A., Howlett R.J., Jain L.C. (Eds). Human Centred Intelligent Systems, vol. 189, pp. 207-219.

IFTIKHAR A., ALAM M., AHMED R., MUSA S., SU’UD M.M. (2021), “Risk Prediction by Using Artificial Neural Network in Global Software Development”, Computational Intelligence and Neuroscience, vol. 2021, p. 2922728.

JACKSON M.O., KANIK Z. (2019), “How Automation that Substitutes for Labor Affects Production Networks, Growth, and Income Inequality”.

JATOBÁ M., SANTOS J., GUTIERRIZ I., MOSCON D., FERNANDES P.O., TEIXEIRA J.P. (2019), “Evolution of Artificial Intelligence Research in Human Resources”, in Cruz-Cunha M.M. D.D. Varajao J.E., Martinho R., Rijo R., Peres E. (Ed). Procedia Computer Science. Elsevier B.V., p. 137-142.

JIANG Y., AKDERE M. (2021), “An operational conceptualization of human resource analytics: implications for in human resource development”, Industrial and Commercial Training, vol. 54, n. 1, pp. 183-200.

JOHNSON E., LUCAS G., KIM P., GRATCH J. (2019), “Intelligent tutoring system for negotiation skills Training”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11626 LNAI, pp. 122-127.

JOHNSON W.G., SUNDERRAMAN R., BOURGEOIS A.G. (2020), “Teaching strategies in software engineering towards industry interview preparedness”, in Stikkolorum D. R.E. (Ed). ACM International Conference Proceeding Series. Association for Computing Machinery.

JUSTICE S., MORRISON E., YORKS L. (2020), “Enacting Reflection: A New Approach to Workplace Complexities”, Advances in Developing Human Resources, vol. 22, n. 3, pp. 320-332.

KALINOUSKAYA I.N. (2022), “Selection of training programs for textile industry personnel using artificial intelligence”, in A V. (Ed). AIP Conference Proceedings. American Institute of Physics Inc.

KANATOURI S. (2020), The digital coach, The Digital Coach, Taylor and Francis Inc.

KANTOLA J., PIIRTO A., TOIVONEN J., CHANG Y., VANHARANTA H. (2011), “Target training with soft computing tools”, Journal of Computational Science, vol. 2, n. 3, pp. 207-215.

KESSLER M.M. (1963), “Bibliographic coupling between scientific papers”, American Documentation, vol. 14, n. 1, pp. 10-25.

KOSARAVA K. (2021), “Applying Natural Language Processing Models to Create Recommendations for Professional Skills Development”, in Petrenko S.A. T.D.A. (Ed). CEUR Workshop Proceedings. CEUR-WS, p. 69-78.

KUHAIL M.A., ALTURKI N., ALRAMLAWI S., ALHEJORI K. (2023), “Interacting with educational chatbots: A systematic review”, Education and Information Technologies, vol. 28, n. 1, pp. 973-1018.

LEE C.H., BRUVOLD N.T. (2003), “Creating value for employees: investment in employee development”, The International Journal of Human Resource Management, vol. 14, n. 6, pp. 981-1000.

LEE Y.C., YAMASHITA N., HUANG Y. (2021), “Exploring the Effects of Incorporating Human Experts to Deliver Journaling Guidance through a Chatbot”, Proceedings of the ACM on Human-Computer Interaction, vol. 5, n. CSCW1.

LEJEUNE C., BEAUSAERT S., RAEMDONCK I. (2021), “The impact on employees’ job performance of exercising self-directed learning within personal development plan practice”, International Journal of Human Resource Management, vol. 32, n. 5, pp. 1086-1112.

LI J.M., WU T.-J., WU Y.J., GOH M. (2023), “Systematic literature review of human-machine collaboration in organizations using bibliometric analysis”, Management Decision, vol. 61, n. 10, pp. 2920-2944.

LIU R.L. (2017), “A new bibliographic coupling measure with descriptive capability”, Scientometrics, vol. 110, n. 2, pp. 915-935.

MADDUMAGE C., SENEVIRATHNE D., GAYASHAN I., SHEHAN T., SUMATHIPALA S. (2019), “Intelligent Recruitment System”, 2019 IEEE 5th International Conference for Convergence in Technology, I2CT 2019. Institute of Electrical and Electronics Engineers Inc.

MAI V., WOLFF A., RICHERT A., PREUSSER I. (2021), “Accompanying Reflection Processes by an AI-Based StudiCoachBot: A Study on Rapport Building in Human-Machine Coaching Using Self Disclosure”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13096 LNCS, pp. 439-457.

MAITY S. (2019), “Identifying opportunities for artificial intelligence in the evolution of training and development practices”, Journal of Management Development, vol. 38, n. 8, pp. 651-663.

MAKRIDAKIS S. (2017), “The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms”, Futures, vol. 90, pp. 46-60.

MALIK N., TRIPATHI S.N., KAR A.K., GUPTA S. (2022), “Impact of artificial intelligence on employees working in industry 4.0 led organizations”, International Journal of Manpower, vol. 43, n. 2, pp. 334-354.

MAN M.M.K. (2020), “Human Resource Development Requirements in Industrial Revolution 4.0”, in Ali Turkmenoglu M., Cicek B. (Eds). Contemporary Global Issues in Human Resource Management, pp. 129-139.

MARIANI M.M., HASHEMI N., WIRTZ J. (2023), “Artificial intelligence empowered conversational agents: A systematic literature review and research agenda”, Journal of Business Research, vol. 161, p. 113838.

MICHALOPOULOS D., KARRAS A., KARRAS C., SIOUTAS S., GIOTOPOULOS K.C. (2022), “Neuro-Fuzzy Employee Ranking System in the Public Sector”, Frontiers in Artificial Intelligence and Applications, vol. 358, pp. 325-333.

MISHRA S.S., KUNTE M., NEELAM N., BHATTACHARYA S., MULAY P. (2021), “HR Process Automation: A Bibliometric Analysis”, Library Philosophy and Practice, pp. 1-12.

MUKHERJEE D., LIM W.M., KUMAR S., DONTHU N. (2022), “Guidelines for advancing theory and practice through bibliometric research”, Journal of Business Research, vol. 148, pp. 101-115.

MURALIDHAR S., SIEGFRIED R., GATICA-PEREZ D., ODOBEZ J.-M. (2018), “Facing employers and customers: What do gaze and expressions tell about soft skills?”, in Abdennadher S. A.F. (Ed). ACM International Conference Proceeding Series. Association for Computing Machinery, p. 121-126.

NAMBIAR S.K., DAS R., RASIPURAM S., JAYAGOPI D.B. (2017), “Automatic generation of actionable feedback towards improving social competency in job interviews”, in Bianchi-Berthouze N. A.P. Baud-Bovy G., Volta E., Volpe G., Gori M. (Ed). MIE 2017 - Proceedings of the 1st ACM SIGCHI International Workshop on Multimodal Interaction for Education, Co-located with ICMI 2017. Association for Computing Machinery, Inc, p. 53-59.

NOSRATABADI S., ZAHED R.K., PONKRATOV V.V., KOSTYRIN E.V. (2022), “Artificial Intelligence Models and Employee Lifecycle Management: A Systematic Literature Review”, Organizacija, vol. 55, n. 3, pp. 181-198.

ODREKHIVSKYY M., PASICHNYK V., RZHEUSKYI A., ANDRUNYK V., NAZARUK M., KUNANETS O., TABACHYSHYN D. (2019), “Problems of the intelligent virtual learning environment development”, in Emmerich M. V.V. Lytvyn V., Yevseyeva I., Basto-Fernandes V., Dosyn D. (Ed). CEUR Workshop Proceedings. CEUR-WS, p. 359-369.

PASIKOWSKA A., LAZZERI N., ZARAKI A. (2013), “A dialogue with a virtual imaginary interlocutor as a form of a psychological support for well-being”, ACM International Conference Proceeding Series. Warsaw.

PISANI N., KOURULA A., KOLK A., MEIJER R. (2017), “How global is international CSR research? Insights and recommendations from a systematic review”, Journal of World Business, vol. 52, n. 5, pp. 591-614.

POQUET O., DE LAAT M. (2021), “Developing capabilities: Lifelong learning in the age of AI”, British Journal of Educational Technology, vol. 52, n. 4, pp. 1695-1708.

RADHAKRISHNAN S., ERBIS S., ISAACS J.A., KAMARTHI S. (2017), “Novel keyword co-occurrence network-based methods to foster systematic reviews of scientific literature”, PLOS ONE, vol. 12, n. 3, p. e0172778.

RAHIMI S., KHORASANI A., REZAEIZADEH M., WATERWORTh J. (2022), “The virtual human resource development (VHRD) approach: an integrative literature review”, European Journal of Training and Development, vol. 46, n. 5-6, pp. 484-503.

RASIPURAM S., JAYAGOPI D.B. (2020), “Automatic multimodal assessment of soft skills in social interactions: a review”, Multimedia Tools and Applications, vol. 79, n. 19-20, pp. 13037-13060.

RAVID D.M., TOMCZAK D.L., WHITE J.C., BEHREND T.S. (2020), “EPM 20/20: A Review, Framework, and Research Agenda for Electronic Performance Monitoring”, Journal of Management, vol. 46, n. 1, pp. 100-126.

RAY D., MOOKHERJEE D. (2022), “Growth, automation, and the long-run share of labor”, Review of Economic Dynamics, vol. 46, pp. 1-26.

RODRIGUEZ-RUIZ J., ALVAREZ-DELGADO A., CARATOZZOLO P. (2021), “Use of Natural Language Processing (NLP) Tools to Assess Digital Literacy Skills”, Future of Educational Innovation Workshop Series - Machine Learning-Driven Digital Technologies for Educational Innovation Workshop 2021. Institute of Electrical and Electronics Engineers Inc.

SALVETTI F., BERTAGNI B., NEGRI F., BERSANELLI M., USAI R., MILANI A., DE ROSA D. (2022), “At Your Best! Artificial Intelligence, People and Business Analytics, Highly Realistic Avatars, Innovative Learning and Development”, Lecture Notes in Networks and Systems, vol. 349 LNNS, pp. 280-289.

SAYFULLINA L., MALMI E., KANNALA J. (2018), “Learning representations for soft skill matching”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11179 LNCS, pp. 141-152.

SCHERMULY C.C., GRASSMANN C., ACKERMANN S., WEGENER R. (2022), “The future of workplace coaching-an explorative Delphi study”, Coaching, vol. 15, n. 2, pp. 244-263.

SCHUTT S., HOLLOWAY D., LINEGAR D., DEMAN D. (2017), “Using simulated digital role plays to teach healthcare “soft skills”“, in Rodrigues N. D.D. Vilaca J.L., Dias N., Wong K., de Freitas S. (Ed). 2017 IEEE 5th International Conference on Serious Games and Applications for Health, SeGAH 2017. Institute of Electrical and Electronics Engineers Inc.

SIHOMBING O., HANOSO G.R., LAIA Y., MAULANA H., TAMBA S.P., NABABAN M.N.K., INDRA E., BATUBARA M.D., ZENDRATO N. (2019), “Determining Outstanding Employee Using Simple Multi-Attribute Rating Technique Method”, Journal of Physics: Conference Series, vol. 1230, n. 1, p. 012076.

SIMA V., GHEORGHE I.G., SUBIĆ J., NANCU D. (2020), “Influences of the industry 4.0 revolution on the human capital development and consumer behavior: A systematic review”, Sustainability (Switzerland), vol. 12, n. 10.

SIVATHANU B., PILLAI R. (2018), “Smart HR 4.0 - how industry 4.0 is disrupting HR”, Human Resource Management International Digest, vol. 26, n. 4, pp. 7-11.

SOLICHIN A., SAPUTRI F.H. (2021), “An Adaptive Neuro-Fuzzy Inference System (ANFIS) Method for Recommending Employee Mutations in a Manufacturing Company”, Journal of Physics: Conference Series, vol. 1908, n. 1, p. 012016.

STACHOVÁ K., PAPULA J., STACHO Z., KOHNOVÁ L. (2019), “External partnerships in employee education and development as the key to facing industry 4.0 challenges”, Sustainability (Switzerland), vol. 11, n. 2.

STONE D.L., DEADRICK D.L., LUKASZEWSKI K.M., JOHNSON R. (2015), “The influence of technology on the future of human resource management”, Human Resource Management Review, vol. 25, n. 2, pp. 216-231.

STROHMEIER S., PIAZZA F. (2015), “Artificial Intelligence Techniques in Human Resource Management-A Conceptual Exploration”, in Kahraman C., Çevik Onar S. (Eds). Intelligent Techniques in Engineering Management: Theory and Applications, pp. 149-172.

SWANSON R.A. (1995), “Human resource development: Performance is the key”, Human Resource Development Quarterly, vol. 6, n. 2, pp. 207-213.

TERBLANCHE N. (2020), “A design framework to create artificial intelligence coaches”, International Journal of Evidence Based Coaching and Mentoring, vol. 18, n. 2, pp. 152-165.

TERBLANCHE N., KIDD M. (2022), “Adoption Factors and Moderating Effects of Age and Gender That Influence the Intention to Use a Non-Directive Reflective Coaching Chatbot”, SAGE Open, vol. 12, n. 2.

TERBLANCHE N., MOLYN J., DE HAAN E., NILSSON V.O. (2022a), “Coaching at Scale: Investigating the Efficacy of Artificial Intelligence Coaching”, International Journal of Evidence Based Coaching and Mentoring, vol. 20, n. 2, pp. 20-36.

TERBLANCHE N., MOLYN J., HAAN E. DE, NILSSON V.O. (2022b), “Comparing artificial intelligence and human coaching goal attainment efficacy”, PLOS ONE, vol. 17, n. 6, p. e0270255.

TERBLANCHE N., MOLYN J., WILLIAMS K., MARITZ J. (2023), “Performance matters: students’ perceptions of Artificial Intelligence Coach adoption factors”, Coaching: An International Journal of Theory, Research and Practice, vol. 16, n. 1, pp. 100-114.

TRANFIELD D., DENYER D., SMART P. (2003), “Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review”, British Journal of Management, vol. 14, n. 3, pp. 207-222.

VAN ECK, N.J., WALTMAN, L. (2010), “Software survey: VOSviewer, a computer program for bibliometric mapping”, Scientometrics, vol. 84, n.2, pp. 523-538

VAN OORSCHOT J.A.W.H., HOFMAN E., HALMAN J.I.M. (2018), “A bibliometric review of the innovation adoption literature”, Technological Forecasting and Social Change, vol. 134, pp. 1-21.

VOTTO A.M., VALECHA R., NAJAFIRAD P., RAO H.R. (2021), “Artificial Intelligence in Tactical Human Resource Management: A Systematic Literature Review”, International Journal of Information Management Data Insights, vol. 1, n. 2, p. 100047.

VRONTIS D., CHRISTOFI M., PEREIRA V., TARBA S., MAKRIDES A., TRICHINA E. (2022), “Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review”, The International Journal of Human Resource Management, vol. 33, n. 6, pp. 1237-1266.

VYSOTSKAYA P., ZABELINA S., KULESHOVA J., PINCHUK I. (2020), “Using the capabilities of artificial intelligence in the development of reflection skills”, in Rudoy D.K.V. Olshevskaya A. (Ed). E3S Web of Conferences. EDP Sciences.

WALTMAN, L., VAN ECK, N. J., NOYONS, E. C. M. (2010), “A unified approach to mapping and clustering of bibliometric networks”, Journal of Informetrics, vol. 4, n.4, pp. 629-635.

WEINBERG B.H. (1974), “Bibliographic coupling: A review”, Information Storage and Retrieval, vol. 10, n. 5-6, pp. 189-196.

WHYSALL Z., OWTRAM M., BRITTAIN S. (2019), “The new talent management challenges of Industry 4.0”, Journal of Management Development, vol. 38, n. 2, pp. 118-129.

WIJAYATI D.T., RAHMAN Z., FAHRULLAH A., RAHMAN M.F.W., ARIFAH I.D.C., KAUTSAR A. (2022), “A study of artificial intelligence on employee performance and work engagement: the moderating role of change leadership”, International Journal of Manpower, vol. 43, n. 2, pp. 486-512.

WILLIAMS P. (2019), “Does competency-based education with blockchain signal a new mission for universities?”, Journal of Higher Education Policy and Management, vol. 41, n. 1, pp. 104-117.

WILLIAMSON B., PYKETT J., NEMORIN S. (2018), “Biosocial spaces and neurocomputational governance: brain-based and brain-targeted technologies in education”, Discourse, vol. 39, n. 2, pp. 258-275.

WINGS I., NANDA R., ADEBAYO K.J. (2021), “A Context-Aware Approach for Extracting Hard and Soft Skills”, in Klimova A. B.A. Bilas A., Harmandaris V., Kalligiannaki E., Kanellou E. (Ed). Procedia Computer Science. Elsevier B.V., p. 163-172.

WIRTZ B.W., MÜLLER W.M. (2019), “An integrated artificial intelligence framework for public management”, Public Management Review, vol. 21, n. 7, pp. 1076-1100.

WOHLIN C. (2014), “Guidelines for snowballing in systematic literature studies and a replication in software engineering”, Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering - EASE ‘14. Presented at the 18th International Conference, ACM Press, London, England, United Kingdom, p. 1-10.

WOLLNY S., SCHNEIDER J., DI MITRI D., WEIDLICH J., RITTBERGER M., DRACHSLER H. (2021), “Are We There Yet? - A Systematic Literature Review on Chatbots in Education”, Frontiers in Artificial Intelligence, vol. 4.

XIN O.K., WIDER W., LING L.K. (2022), “Human Resource Artificial Intelligence Implementation and Organizational Performance in Malaysia”, Asia-Pacific Social Science Review, vol. 22, n. 3, pp. 18-37.

YORKS L., ROTATORI D., SUNG S., JUSTICE S. (2020), “Workplace Reflection in the Age of AI: Materiality, Technology, and Machines”, Advances in Developing Human Resources, vol. 22, n. 3, pp. 308-319.

ZEL S., KONGAR E. (2020), “Transforming Digital Employee Experience with Artificial Intelligence”, 2020 IEEE / ITU International Conference on Artificial Intelligence for Good, AI4G 2020. Institute of Electrical and Electronics Engineers Inc., p. 176-179.

ZHOU L., WU Q., CHEN H. (2022), “Multifactor Evaluation Approach for Human Performance”, Arabian Journal for Science and Engineering, vol. 47, n. 3, pp. 3763-3772.

ZORRILLA A.L., TORRES M.I. (2022), “A Multilingual Neural Coaching Model with Enhanced Long-term Dialogue Structure”, ACM Transactions on Interactive Intelligent Systems, vol. 12, n. 2, p. 16:1-16:47.

ZUPIC I., ČATER T. (2015), “Bibliometric Methods in Management and Organization”, Organizational Research Methods, vol. 18, n. 3, pp. 429-472.

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2024-04-30