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Examining the Effectiveness of Virtual Training under the Kirkpatrick Model: A Post-COVID Study
DOI:
https://doi.org/10.30564/mmpp.v5i4.5361Abstract
Teaching and training through online tools were used by most Higher Education Institute (HEIs) worldwide during COVID-19 to cater to the needs of students who stay far away from educational institutions. After the pandemic, the virtual model of education and training became a trend. The students and teachers are also more used to this trend which is giving more opportunities to both learners and instructors. One of the notable benefits of virtual teaching and learning platform is that it provides a flexible environment to gain knowledge, skills, and attitude simultaneously along with formal off-line education. From the earlier studies it is found that the majority of studies have focused on traditional, offline training methods and only a few studies have focused on virtual training. Therefore, the present study examined the effectiveness of virtual training using the Kirkpatrick model. For this purpose, a research instrument based on the Kirkpatrick model was constructed and distributed among the UG and PG students in Mangalore City. A total of 143 responses were collected, of which 132 were completed responses and all of them were considered for analysis. Descriptive statistics and one sample t-test are employed to analyse and interpret the data. The findings revealed that virtual training is more effective compared to traditional and offline training methods. Henceforth, the training and education provided through virtual platforms made significant contributions to the employability of youngsters.
Keywords:
Evaluation; Information technology; Kirkpatrick; Online training; Post-COVID; Training effectivenessReferences
[1] Bashir, A., Bashir, S., Rana, K., et al., 2021. Post-COVID-19 adaptations; the shifts towards online learning, hybrid course delivery and the implications for biosciences courses in the higher education setting. Frontiers in Education.
[2] Rabanal, M.G., Blanco, A.A. (editors), 2022. Virtual service-learning: A tool to improve students’ skills training and employability. 15th Annual International Conference of Education, Research and Innovation; 2022 Nov 7-9; Seville, Spain. p. 1274-1279.
[3] Singh, M., Gustafson, L., Adcock, A., et al. (editors), 2022. Revisiting weakly supervised pre-training of visual perception models. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition; 2022 Jun 18-24; New Orleans, LA, USA. p. 804-814.
[4] Malik, A., Boyle, B., Mitchell, R., 2017. Contextual ambidexterity and innovation in healthcare in India: The role of HRM. Personnel Review. 46(7), 1358-1380.
[5] Nyathi, M., 2022. The effect of electronic human resource management on electronic human resource management macro-level consequences: The role of perception of organizational politics. African Journal of Economic and Management Studies. DOI: https://doi.org/10.1108/AJEMS-04-2022-0168
[6] Ishaq, M.I., Sarwar, H., Franzoni, S., et al., 2023. The nexus of human resource management, corporate social responsibility and sustainable performance in upscale hotels: A mixed-method study. International Journal of Emerging Markets. DOI: https://doi.org/10.1108/IJOEM-04-2022-0714
[7] Huntsman, D., Greer, A., Murphy, H., et al., 2022. A serial mediation model exploring the impact of high performance human resource practices on public sector performance through intermediate employee attitudes. International Journal of Public Administration. 1-16.
[8] Huselid, M.A., 1995. The impact of human resource management practices on turnover, productivity, and corporate financial performance. Academy of Management Journal. 38(3), 635-672.
[9] Lewis, J.L., Wimberg, J., Kinuthia, W., et al., 2003. Distance learning faculty development workshop using the ADDIE model. Proceedings of SITE 2003—Society for Information Technology & Teacher Education International Conference. Association for the Advancement of Computing in Education (AACE): Waynesville. pp. 382-383.
[10] Tran, T.Q., Scherpbier, A., Van Dalen, J., et al., 2012. Teacher-made models: The answer for medical skills training in developing countries?. BMC Medical Education. 12, 1-6.
[11] Afzal, B., Rehman, S.S.F., Mehboob, S.A.A., 2010. Role of leadership in training and development. Global Journal of Management and Business Research. 10(7), 75-81.
[12] Priyashantha, K.G., 2023. Disruptive technologies for human resource management: A conceptual framework development and research agenda. Journal of Work-Applied Management. 15(1), 21-36. DOI: https://doi.org/10.1108/JWAM-10-2022-0069
[13] Behl, A., Pereira, V., Varma, A., et al., 2022. Guest editors’ overview essay: Exploring the dark side of electronic-human resource management: towards a new PROMPT model. International Journal of Manpower. 43(1), 1-11. DOI: https://doi.org/10.1108/IJM-04-2022-560
[14] Kurni, M., Mrunalini, M., Saritha, K., 2021. Deep learning techniques for social media analytics. Principles of social networking: The new horizon and emerging challenges. Springer Singapore: Singapore. pp. 413-442.
[15] Bondarouk, T., Ruël, H., 2010. Dynamics of e‐learning: Theoretical and practical perspectives: Introduction to special issue. International Journal of Training and Development. 14(3), 149-154.
[16] Zhang, P., Li, N., Jiang, Z., et al., 2019. An agent-based modeling approach for understanding the effect of worker-management interactions on construction workers’ safety-related behaviors. Automation in Construction. 97, 29-43.
[17] Deaton, A., 2010. Instruments, randomization, and learning about development. Journal of Economic Literature. 48(2), 424-455.
[18] Blom, R., Voorn, B., Borst, R.T., 2022. HRM autonomy, integration and performance in government agencies: Tests of necessity and sufficiency. Public Management Review. 1-19. DOI: https://doi.org/10.1080/14719037.2022.2145348
[19] Mear, F., Werner, R.A., 2020. Subsidiarity as secret of success:“Hidden Champion” SMEs and subsidiarity as winning HRM configuration in interdisciplinary case studies. Employee Relations: The International Journal. 43(2), 524-554. DOI: https://doi.org/10.1108/ER-03-2020-0141
[20] Begin, J.P., 1992. Comparative human resource management (HRM): A systems perspective. International Journal of Human Resource Management. 3(3), 379-408. DOI: https://doi.org/10.1080/09585199200000156
[21] Garengo, P., Sardi, A., Nudurupati, S.S., 2022. Human resource management (HRM) in the performance measurement and management (PMM) domain: A bibliometric review. International Journal of Productivity and Performance Management. 71(7), 3056-3077. DOI: https://doi.org/10.1108/IJPPM-04-2020-0177
[22] Abdul Ghani Azmi, I., Hashim, J., 2022. Do HRM practices facilitate innovation? A qualitative study in a developing country. Innovation & Management Review. 19(4), 368-381. DOI: https://doi.org/10.1108/INMR-09-2020-0122
[23] Shafaei, A., Nejati, M., Yusoff, Y.M., 2020. Green human resource management: A two-study investigation of antecedents and outcomes. International Journal of Manpower. 41(7), 1041-1060.
[24] Marler, L.E., Vardaman, J.M., Allen, D.G., 2021. Human resource management in family firms: Review, integration, and opportunities for future research. Research in Personnel and Human Resources Management. 39, 175-201. DOI: https://doi.org/10.1108/S0742-73012021
[25] Ludwikowska, K., 2022. Employee-oriented human resource policy as a factor shaping the influence of servant leadership on job performance. International Journal of Productivity and Performance Management. DOI: https://doi.org/10.1108/IJPPM-09-2021-0525
[26] Sabiu, M.S., Ringim, K.J., Mei, T.S., et al., 2019. Relationship between human resource management practices, ethical climates and organizational performance, the missing link: An empirical analysis. PSU Research Review. 3(1), 50-69. DOI: https://doi.org/10.1108/PRR-12-2016-0022
[27] Iqbal, T., Jajja, M.S.S., Bhutta, M.K., et al., 2020. Lean and agile manufacturing: Complementary or competing capabilities?. Journal of Manufacturing Technology Management. 31(4), 749-774. DOI: https://doi.org/10.1108/JMTM-04-2019-0165
[28] Galeazzo, A., Furlan, A., Vinelli, A., 2021. The role of employees’ participation and managers’ authority on continuous improvement and performance. International Journal of Operations & Production Management. 41(13), 34-64. DOI: https://doi.org/10.1108/IJOPM-07-2020-0482
[29] Koster, F., Benda, L., 2020. Innovative human resource management: Measurement, determinants and outcomes. International Journal of Innovation Science. 12(3), 287-302. DOI: https://doi.org/10.1108/IJIS-03-2020-0027
[30] Adikaram, A.S., Naotunna, N.P.G.S.I., Priyankara, H.P.R., 2021. Battling COVID-19 with human resource management bundling. Employee Relations: The International Journal. 43(6), 1269-1289. DOI: https://doi.org/10.1108/ER-08-2020-0390
[31] Al-Alawi, A.I., Messaadia, M., Mehrotra, A., et al., 2023. Digital transformation adoption in human resources management during COVID-19. Arab Gulf Journal of Scientific Research. DOI: https://doi.org/10.1108/AGJSR-05-2022-0069
[32] Martini, M., Cavenago, D., Marafioti, E., 2021. Exploring types, drivers and outcomes of social e-HRM. Employee Relations: The International Journal. 43(3), 788-806. DOI: https://doi.org/10.1108/ER-10-2019-0404
[33] Molitor, M., Renkema, M., 2022. Human-robot collaboration in a smart industry context: Does hrm matter?. Smart industry—better management. Emerald Publishing Limited: Bingley. pp. 105-123. DOI: https://doi.org/10.1108/S1877-636120220000028008
[34] Platanou, K., Mäkelä, K., Beletskiy, A., et al., 2017. Using online data and network-based text analysis in HRM research. Journal of Organizational Effectiveness: People and Performance. 5(1), 81-97. DOI: https://doi.org/10.1108/JOEPP-01-2017-0007
[35] Benuyenah, V., Boukareva, B., 2018. Making HRM curriculum relevant—a hypothetical practitioners’ guide. Journal of Work-Applied Management. 10(1), 93-100. DOI: https://doi.org/10.1108/JWAM-09-2017-0026
[36] KK, S., Maskari, A.A., 2019. Student engagement in blended learning instructional design: An analytical study. Learning and Teaching in Higher Education: Gulf Perspectives. 15(2), 61-79.
[37] Przytuła, S., Rank, S., Tracz-Krupa, K., 2022. Ambidexterity as the response of smart industry 4.0—Towards better HR practices. Smart industry—better management. Emerald Publishing Limited: Bingley. pp. 51-67. DOI: https://doi.org/10.1108/S1877-636120220000028006
[38] Easa, N.F., Orra, H.E., 2021. HRM practices and innovation: An empirical systematic review. International Journal of Disruptive Innovation in Government. 1(1), 15-35.
[39] Ghassemieh, G., Thach, L., Gilinsky, A., 2005. Does my business need a human resources function? a decision-making model for small and medium-sized firms. New England Journal of Entrepreneurship. 8(2), 25-36. DOI: https://doi.org/10.1108/NEJE-08-01-2005-B003
[40] de Amorim, W.A.C., da Cruz, M.V.G., Sarsur, A.M., et al., 2021. HRM in Brazil: An institutional approach. Revista de Gestão. 28(1), 84-99. DOI: https://doi.org/10.1108/REGE-08-2020-0074
[41] Qamar, Y., Agrawal, R.K., Samad, T.A., et al., 2021. When technology meets people: The interplay of artificial intelligence and human resource management. Journal of Enterprise Information Management. 34(5), 1339-1370. DOI: https://doi.org/10.1108/JEIM-11-2020-0436
[42] Reed, S., Zolna, K., Parisotto, E., et al., 2022. A generalist agent. arXiv preprint arXiv:2205.06175.
[43] Guimond, J.P., Kiss, J., Consuelo, R., et al., 2023. Enhancing employability for autistic graduates: Using TRIZ theory to design virtual reality solutions for fostering inclusive communications in workplace environments. Global Journal of Human-Social Science: H Interdisciplinary. 23(4).
[44] Anastasiu, L., Anastasiu, A., Dumitran, M., et al., 2017. How to align the university curricula with the market demands by developing employability skills in the civil engineering sector. Education Sciences. 7(3), 74.
[45] Ganiyu, I.O., Atiku, S.O., Van der Byl, K., 2022. An evolution of virtual training: Implications for talent development in the post-pandemic period. Development and Learning in Organizations: An International Journal. 37(2), 10-13.
[46] Xie, X., Lu, Q., Herrera, M., et al., 2021. Does historical data still count? Exploring the applicability of smart building applications in the post-pandemic period. Sustainable Cities and Society. 69, 102804.
[47] Al-Fodeh, R.S., Alwahadni, A.M., Abu Alhaija, E.S., et al., 2021. Quality, effectiveness and outcome of blended learning in dental education during the Covid pandemic: Prospects of a post-pandemic implementation. Education Sciences. 11(12), 810.
[48] Brauweiler, H., Yerimpasheva, A., 2021. Moving to blended learning in the post-pandemic era. The impact of COVID-19 on accounting, business practice and education (1st ed.). Publishing House of Wroclaw University of Economics and Business: Wroclaw. pp. 104-120.
[49] Varma, A., Jafri, M.S., 2020. COVID-19 responsive teaching of undergraduate architecture programs in India: Learnings for post-pandemic education. Archnet-IJAR: International Journal of Architectural Research. 15(1), 189-202.
[50] Kirkpatrick, D.L., Craig, R.L., 1970. Evaluation of training [Internet]. Available from: https://files.eric.ed.gov/fulltext/ED057208.pdf#page=41
[51] Fleetwood, S., Hesketh, A., 2006. HRM-performance research: Under-theorized and lacking explanatory power. The International Journal of Human Resource Management. 17(12), 1977-1993. DOI: https://doi.org/10.1080/09585190601041026
[52] Phillips, J.J., Phillips, P.P., 2016. Handbook of training evaluation and measurement methods. Routledge: London.
[53] Gannon-Leary, P., Fontainha, E., 2007. Communities of practice and virtual learning communities: Benefits, barriers and success factors. Barriers and Success Factors. eLearning Papers. (5).
[54] Stricker, D., Weibel, D., Wissmath, B., 2011. Efficient learning using a virtual learning environment in a university class. Computers & Education. 56(2), 495-504.
[55] Torres Martín, C., Acal, C., El Homrani, M., et al., 2021. Impact on the virtual learning environment due to COVID-19. Sustainability. 13(2), 582.
[56] Sunardi, O., Widyarini, M., Tjakraatmadja, J.H., 2012. The impact of sales forces training program to employees behaviour styles (a quasi-experimental case study in a medium sized enterprise). Procedia Economics and Finance. 4, 264-273.
[57] Hassan, M., Thomson, K.M., Khan, M., et al., 2017. Behavioral skills training for graduate students providing cognitive behavior therapy to children with autism spectrum disorder. Behavior Analysis: Research and Practice. 17(2), 155.
[58] Reson, L.M., Lydia, M.J., 2012. Towards a results-oriented public service in Kenya: The modern human resource management perspective. International Journal of Business and Social Science. 3(21).
[59] Choi, M., Yoon, H.J., 2015. Training investment and organizational outcomes: A moderated mediation model of employee outcomes and strategic orientation of the HR function. The International Journal of Human Resource Management. 26(20), 2632-2651.
[60] Piwowar-Sulej, K., 201. Achieving HR function consistency as a challenge for HR practitioners in project-oriented organizations. Electronic Journal of Knowledge Management. 15(3).
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