Converging technologies in organizational onboarding: Mapping and bibliometric analysis of their strategic implications for human talent development

Martha Liliana Torres-Barreto; Camila Alejandra León Vanegas; Fabio Edisson Morera Forero

doi:10.58763/rc2026607

Autores/as

Martha Liliana Torres-Barreto Universidad Industrial de Santander. Bucaramanga, Colombia https://orcid.org/0000-0002-4388-5991
Camila Alejandra León Vanegas Universidad Industrial de Santander. Bucaramanga, Colombia https://orcid.org/0000-0002-2460-8286
Fabio Edisson Morera Forero Broward International University. Miami, Estados Unidos https://orcid.org/0009-0001-8578-7919

DOI:

https://doi.org/10.58763/rc2026607

Palabras clave:

converging technologies, digital learning, human resource development (HRD), onboarding, SciMAT

Resumen

Introduction: Despite rapid integration of converging technologies into organizational practices, limited systematic research exists on their strategic implications for onboarding and human resource development (HRD). Organizations struggle to transform traditional induction into strategic interventions enhancing employee adaptability, commitment, and retention. Methodology: This bibliometric study analyzes 1,091 Scopus articles (2004–March 2025) using Bibliometrix, VOSviewer, and SciMAT to map technology-enhanced onboarding developments. Findings: Results reveal transitions from traditional models toward digital, immersive, personalized approaches, identifying key themes: workplace learning, e-learning, digital skills, artificial intelligence, virtual reality, and learning analytics. HRD professionals, organizational leaders, and researchers benefit from understanding how converging technologies redefine onboarding as a critical talent management strategy. Conclusions: This research contributes to HRD theory by demonstrating that technology-enhanced onboarding strengthens learning experiences and connects technological innovation with sustainable employee development, providing actionable insights for practitioners implementing digital transformation initiatives.

Citas

Ahakwa, I., Yang, J., Agba Tackie, E., & Atingabili, S. (2021). The influence of employee engagement, work environment and job satisfaction on organizational commitment and performance of employees: A sampling weights in PLS path modelling. SEISENSE Journal of Management, 4(3), 34-62. https://doi.org/10.33215/sjom.v4i3.641

Al-Gahtani, S. S. (2016). Empirical investigation of e-learning acceptance and assimilation: A structural equation model. Applied Computing and Informatics, 12(1), 27-50. https://doi.org/10.1016/j.aci.2014.09.001

Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007

Bauer, T. N. (2010). Onboarding new employees: Maximizing success. Alexandria, VA: SHRM Foundation’s Effective Practice Guidelines Series.

Bauer, T. N., & Erdogan, B. (2011). Organizational socialization: The effective onboarding of new employees. APA Handbook of Industrial and Organizational Psychology, 3, 51–64. https://doi.org/10.1037/12171-002

Billett, S. (2011). Vocational Education: Purposes, Traditions and Prospects. Springer. https://doi.org/10.1007/978-94-007-1954-5

Bok, H. G., Teunissen, P. W., Favier, R. P., Rietbroek, N. J., Theyse, L. F., Brommer, H., & van der Vleuten, C. P.M. (2013). Programmatic assessment of competency-based workplace learning: When theory meets practice. BMC Medical Education, 13(1), 123. https://doi.org/10.1186/1472-6920-13-123

Callon, M., Courtial, J. P., & Laville, F. (1991). Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemistry. Scientometrics, 22(1), 155-205. https://doi.org/10.1007/BF02019280

Chao, G. T., O’Brien, A. M., Walz, P. M., & Klein, H. J. (1994). Organizational socialization: Its content and consequences. Journal of Applied Psychology, 79(5), 730–743. https://doi.org/10.1037/0021-9010.79.5.730

Chen, H., Tsang, Y. P., & Wu, C. H. (2023). When text mining meets science mapping in the bibliometric analysis: A review and future opportunities. International Journal of Engineering Business Management, 15. https://doi.org/10.1177/18479790231222349

Cheng, Y. M. (2012). Effects of quality antecedents on e-learning acceptance. Internet Research, 22(3), 361-390. https://doi.org/10.1108/10662241211235699

Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382-1402. https://doi.org/10.1002/asi.21525

Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2012). SciMAT: A new science mapping analysis software tool. Journal of the American Society for Information Science and Technology, 63(8), 1609-1630. https://doi.org/10.1002/asi.22688

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008

Delmas, M. A., & Pekovic, S. (2013). Environmental standards and labour productivity: Understanding the mechanisms that sustain sustainability. Journal of Organizational Behaviour, 34(2), 230-252. https://doi.org/10.1002/job.1827

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, 133, 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070

Fuller, A., & Unwin, L. (2004). Expansive learning environments: Integrating organizational and personal development. Workplace Learning in Context, 126–144. https://doi.org/10.4324/9780203571644

Hauptmann, M., Denny, B., Schwartz, J., Bersin, J., Roy, I., & Van Durme, Y. (2019). Learning in the flow of work. Deloitte Insights. https://www.deloitte.com/us/en/insights/topics/talent/human-capital-trends/2019/reskilling-upskilling-the-future-of-learning-and-development.html

Hirsch, J. E. (2005). An index to quantify an individual's scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569-16572. https://doi.org/10.1073/pnas.0507655102

Illeris, K. (2011). The Fundamentals of Workplace Learning: Understanding How People Learn in Working Life. Routledge. https://doi.org/10.4324/9780203816257

Kamphuis, C., Barsom, E., Schijven, M., & Christoph, N. (2014). Augmented reality in medical education? Perspectives on Medical Education, 3, 300-311. https://doi.org/10.1007/s40037-013-0107-7

Ketata, I., Sofka, W., & Grimpe, C. (2015). The role of internal capabilities and firms' environment for sustainable innovation: Evidence for Germany. R&D Management, 45(1), 60-75. https://doi.org/10.1111/radm.12052

Klein, H. J., Polin, B., & Leigh Sutton, K. (2015). Specific onboarding practices for the socialisation of new employees. International Journal of Selection and Assessment, 23(3), 263-283. https://doi.org/10.1111/ijsa.12113

Kuhn, T. S. (1962). The structure of scientific revolutions. University of Chicago Press.

Lave, J., & Wenger, E. (1991). Situated Learning: Legitimate Peripheral Participation. Cambridge University Press. https://doi.org/10.1017/CBO9780511815355

Lee, Y. H., Hsieh, Y. C., & Ma, C. Y. (2011). Adding innovation diffusion theory to the technology acceptance model: Supporting employees' intentions to use e-learning systems. Educational Technology & Society, 14(4), 124-137.

Malik, P., Malik, P., Meher, J. R., & Yadav, S. (2024). Assessing the relationship between AMO framework and talent retention: Role of employee engagement and transformational leadership. Journal of Organizational Effectiveness: People and Performance, 12(3), 585–609. https://doi.org/10.1108/joepp-12-2023-0557

Mann, K. V. (2011). Theoretical perspectives in medical education: Past experience and future possibilities. Medical Education, 45(1), 60-68. https://doi.org/10.1111/j.1365-2923.2010.03757.x

Marsick, V.J. and Watkins, K.E. (2001), Informal and Incidental Learning. New Directions for Adult and Continuing Education, 25-34. https://doi.org/10.1002/ace.5

Martínez, M. A., Cobo, M. J., Herrera, M., & Herrera-Viedma, E. (2015). Analysing the scientific evolution of social work using science mapping. Research on Social Work Practice, 25(2), 257-277. https://doi.org/10.1177/1049731514522101

Marzi, G., Balzano, M., Caputo, A., & Pellegrini, M. M. (2025). Guidelines for bibliometric-systematic literature reviews: 10 steps to combine analysis, synthesis, and theory development. International Journal of Management Reviews, 27(1), 81-103. https://doi.org/10.1111/ijmr.12381

Merton, R. K. (1968). The Matthew effect in science: The reward and communication systems of science are considered. Science, 159(3810), 56-63. https://doi.org/10.1126/science.159.3810.56

Narin, F., & Hamilton, K. S. (1996). Bibliometric performance measures. Scientometrics, 36(3), 293-310. https://doi.org/10.1007/BF02129596

Noe, R. A., Hollenbeck, J. R., Gerhart, B., & Wright, P. M. (2019). Human Resource Management: Gaining a Competitive Advantage (11th ed.). McGraw-Hill Education.

Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company: How Japanese companies create the dynamics of innovation. Oxford University Press. https://doi.org/10.1093/oso/9780195092691.001.0001

Noyons, E. C., Moed, H. F., & Van Raan, A. F. (1999). Integrating research performance analysis and science mapping. Scientometrics, 46(3), 591-604. https://doi.org/10.1007/BF02459614

OECD. (2019). {OECD} Skills Outlook 2019: Thriving in a Digital World. OECD Publishing. https://doi.org/10.1787/df80bc12-en

Ottenbacher, M., & Gnoth, J. (2005). How to develop successful hospitality innovation. Cornell Hotel and Restaurant Administration Quarterly, 46(2), 205-222. https://doi.org/10.1177/0010880404271097

Parasuraman, A. (2000). Technology readiness index (TRI): A multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307-320. https://doi.org/10.1177/109467050024001

Paul, J., & Criado, A. R. (2020). The art of writing literature review: What do we know and what do we need to know? International Business Review, 29(4), 101717. https://doi.org/10.1016/j.ibusrev.2020.101717

Peters, H. P. F., & Van Raan, A. F. J. (1993). Co-word-based science maps of chemical engineering. Part I: Representations by direct multidimensional scaling. Research Policy, 22(1), 23-45. https://doi.org/10.1016/0048-7333(93)90031-C

Pinco, O., Salanta, I. I., Beleiu, I. N., & Crisan, E. L. (2025). The onboarding process: A review. Vilakshan-XIMB Journal of Management, 22(1), 2-13. https://doi.org/10.1108/XJM-01-2024-0008

Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.

Schumpeter, J. A. (1942). Capitalism, socialism and democracy. Harper & Brothers.

Schwab, K. (2016). The fourth industrial revolution. World Economic Forum.

Small, H. (1999). Visualising science by citation mapping. Journal of the American Society for Information Science, 50(9), 799–813. https://doi.org/10.1002/(SICI)1097-4571(1999)50:9<799::AID-ASI9>3.0.CO;2-G

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, 14(3), 207-222. https://doi.org/10.1111/1467-8551.00375

Ullah, R., & Asghar, I. (2023). An integrated methodology for bibliometric analysis: A case study of Internet of Things in healthcare applications. Sensors, 23(1), 67. https://doi.org/10.3390/s23010067

Webel, S., Bockholt, U., Engelke, T., Gavish, N., Olbrich, M., & Preusche, C. (2013). An augmented reality training platform for assembly and maintenance skills. Robotics and Autonomous Systems, 61(4), 398-403. https://doi.org/10.1016/j.robot.2012.09.013

Wenger, E. (1998). Communities of Practice: Learning, Meaning, and Identity. Cambridge University Press. https://doi.org/10.1017/CBO9780511803932

Xie, L., Chen, Z., Wang, H., Zheng, C., & Jiang, J. (2020). Bibliometric and visualised analysis of scientific publications on atlantoaxial spine surgery based on Web of Science and VOSviewer. World Neurosurgery, 137, 435-442.e4. https://doi.org/10.1016/j.wneu.2020.01.171