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A Study of Trainee Reaction for E-training Programs in Software Industry

Vol 8 , Issue 2 , July - December 2021 | Pages: 106-121 | Research Paper  

 
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https://doi.org/10.17492/jpi.manthan.v8i2.822106


Author Details ( * ) denotes Corresponding author

1. * Kushi Sharma, Research Scholar, Department of School of Management, Gautam Buddha University, Greater Noida, Uttar Pradesh, India (kushisharma12@gmail.com)
2. Neeti Rana, Associate Professor, Department of School of Management, Gautam Buddha University Greater Noida, Uttar Pradesh, India (neeti@gbu.ac.in)

As the organisational complexities are increasing, e-learning is being used as a corporate training tool. Popularity of online training is growing in the organisations all over the world. The objective of this research paper is to study the trainee reactions for online training in IT sector. Morgan and Casper’s trainee reaction questionnaire (TRQ) has been used as a tool. It is observed that TRQ is a reliable tool to study trainee reaction for e-training programs as all the six subscales were found to be reliable for e-learning. The data was collected from 250 employees of IT sector and trainees were found to be satisfied with the e-learning programs. It can be said that instructor satisfaction plays a major role for online training. If instructor’s role is important, online training effectiveness will be improved while imparting declarative and procedural knowledge.

Keywords

Trainee reaction; TRQ; Satisfaction; Effectiveness; Software industry.

  1. Alliger, G. M., Tannenbaum, S. I., Bennett Jr, W., Traver, H., & Shotland, A. (1997). A meta-analysis of the relations among training criteria. Personnel Psychology50(2), 341-358.
  2. Arbaugh, J. B. (2002). Managing the on-line classroom: A study of technological and behavioral characteristics of web-based MBA courses. The Journal of High Technology Management Research13(2), 203-223.
  3. Arbaugh, J. B., & Duray, R. (2002). Technological and structural characteristics, student learning and satisfaction with web-based courses: An exploratory study of two on-line MBA programs. Management Learning33(3), 331-347.
  4. Arthur, W., Bennett, W., Edens, P. S., & Bell, S. T. (2003). Effectiveness of training in organizations: A meta-analysis of design and evaluation features. Journal of Applied Psychology, 88(2), 234–245. doi:10.1037/0021-9010.88.2.234.
  5. Aydin, C. H., & Tasci, D. (2005). Measuring readiness for E-learning: Reflections from an emerging country. Educational Technology and Society, 8(4), 244-257.
  6. Bell, B. S., Tannenbaum, S. I., Ford, J. K., Noe, R. A., & Kraiger, K. (2017). 100 years of training and development research: What we know and where we should go. Journal of Applied Psychology102(3), 305.
  7. Berge, Z. L. (2008). Why it is so hard to evaluate training in the workplace. Industrial and Commercial Training, 40(7), 390-395.
  8. Britt, P. (2004). E-learning on the rise: Companies move classroom content online. E-content, 27(11), 36-40.
  9. Brown, K. G., & Sitzmann, T. (2011). Training and employee development for improved performance. In APA handbook of industrial and organizational psychology, Vol 2: Selecting and developing members for the organization.  pp. 469-503. American Psychological Association
  10. Burke, L. A., & Hutchins, H. M. (2008). A study of best practices in training transfer and proposed model of transfer. Human Resource Development Quarterly19(2), 107-128.
  11. Cervero, R. M. (1988). Effective continuing education for professionals. Jossey-Bass Inc.: San Francisco, CA.
  12. Docebo, E., & Trends, L. M. (2014). Forecast 2014-2016 Report. Retrieved from https://www. docebo. com/landing/contactform/elearning-markettrends-and-forecast-2014-2016-doceboreport. pdf.
  13. Eurostat, (2010). The 4th continuing vocational training survey (CVTS4): European union manual. Luxembourg: European commission. Retrieved from http://ec.europa.eu/eurostat/statistics-explained/index.php/File:Costs_of_CVT_ courses_ relative_to_total_labour_costs_for_all_enterprises,_2010,_% 25_new.png/.
  14. Gegenfurtner, A., & Ebner, C. (2019). Webinars in higher education and professional training: A meta-analysis and systematic review of randomized controlled trials. Educational Research Review, 28, 100293.
  15. Gegenfurtner, A., Quesada‐Pallarès, C., & Knogler, M. (2014). Digital simulation-based training: A meta-analysis. British Journal of Educational Technology, 45(6), 1097-1114.
  16. Ghosh, P., Joshi, J. P., Satyawadi, R., Mukherjee, U., & Ranjan, R. (2011). Evaluating effectiveness of a training programme with trainee reaction. Industrial and Commercial Training. 43(1), 247-255.
  17. Gibson, C. B., & Gibbs, J. L. (2006). Unpacking the concept of virtuality: The effects of geographic dispersion, electronic dependence, dynamic structure, and national diversity on team innovation. Administrative Science Quarterly, 51(3), 451-495.
  18. Glerum, D. R., Joseph, D. L., McKenny, A. F., & Fritzsche, B. A. (2020). The trainer matters: Cross-classified models of trainee reactions. Journal of Applied Psychology. 106(2), 281–299.
  19. Gold, S. (2001). A constructivist approach to online training for online teachers. Journal of Asynchronous Learning Networks5(1), 35-57.
  20. Hatala, R., Cook, D. A., Zendejas, B., Hamstra, S. J., & Brydges, R. (2014). Feedback for simulation-based procedural skills training: A meta-analysis and critical narrative synthesis. Advances in Health Sciences Education, 19(2), 251-272.
  21. Hochholdinger, S., & A. Beinicke. (2012). Potenziale and herausforderungen netzbasierten lernens [Potentials and Challenges of Web-based Learning]. Personal Quarterly, 64(12), 16–23.
  22. Howardson, G. N., & Behrend, T. S. (2016). Coming full circle with reactions: Understanding the structure and correlates of trainee reactions through the affect circumplex. Academy of Management Learning & Education15(3), 471-492.
  23. Hurtz, G. M., & Williams, K. J. (2009). Attitudinal and motivational antecedents of participation in voluntary employee development activities. Journal of Applied Psychology94(3), 635.
  24. Kettanurak, V. N., Ramamurthy, K., & Haseman, W. D. (2001). User attitude as a mediator of learning performance improvement in an interactive multimedia environment: An empirical investigation of the degree of interactivity and learning styles. International Journal of Human-Computer Studies54(4), 541-583.
  25. Kim, S., Park, S., Lavelle, J., Kim, M., & Chaudhuri, S. (2020). Revisiting trainee reactions: A multilevel analysis of the nomological network. Human Resource Development Quarterly31(2), 173-191.
  26. Kimiloglu, H., Ozturan, M., & Kutlu, B. (2017). Perceptions about and attitude toward the usage of E-learning incorporate training. Computers in Human Behavior, 72(1), 339–349. doi:10.1016/j. chb.2017.02.062.
  27. Kirkpatrick, D. L. (1993). Riding the winds of change. Training & Development, 47(2), 28-33.
  28. Kirkpatrick, D. L. (1998). Evaluating training programs: The four levels. 2nd ed. Berret-Koehler Publishers Inc.: San Francisco.
  29. Kirkpatrick, D. L., & Craig, R. L. (1970). Evaluation of training. Evaluation of short-term training in rehabilitation, 35.
  30. Kyndt, E., & Baert, H. (2013). Antecedents of employees’ involvement in work-related learning: A systematic review. Review of Educational Research, 83, 273–313. doi:10.3102/ 0034654313478021
  31. Leimbach Michael. (2010). Learning transfer model: A research-driven approach to enhancing learning effectiveness. Industrial and Commercial Training. 42(1), 81-86.
  32. Long, L. K., Du Bois, C. Z., & Faley, R. H. (2008). Online training: The value of capturing trainee reactions. Journal of Workplace Learning, 20(1), 21-37.
  33. Means, B., Toyama, Y., Murphy, R. F., Baki, M., & Jones, K. (2010). Evaluation of evidence-based practices in online learning: A meta-analysis and review of online learning studies. Washington, DC: Department of Education, Office of Planning, Evaluation, and Policy Development
  34. Morgan, R. B., & Casper, W. J. (2000). Examining the factor structure of participant reactions to training: A multidimensional approach. Human Resource Development Quarterly, 11(3), 301-317.
  35. Newton, R., Doonga, N. (2007).  Corporate E-learning: Justification for implementation and evaluation of benefits. A study examining the views of training managers and training providers. Education for Information,  25(2), 111–130.
  36. Ozturan, M., & Kutlu, B. (2010). Employee satisfaction of corporate E-training programs. Procedia-Social and Behavioral Sciences, 2(2), 5561-5565.
  37. Platek, S. M., Burch, R. L., Panyavin, I. S., Wasserman, B. H., & Gallup Jr, G. G. (2002). Reactions to children's faces: Resemblance affects males more than females. Evolution and Human Behavior23(3), 159-166.
  38. Robson, F., & Mavin, S. (2014). Evaluating training and development in UK universities: Staff perceptions. European Journal of Training and Development, 38(6), 553-569.
  39. Salas, E., Kosarzycki, M. P., Burke, C. S., Fiore, S. M., & Stone, D. L. (2002). Emerging themes in distance learning research and practice: some food for thought. International Journal of Management Reviews, 4(2), 135-153.
  40. Schweizer, H. (2004). E-learning in business. Journal of Management Education, 28(6), 674-692.
  41. Sitzmann, T., Brown, K. G., Casper, W. J., Ely, K., & Zimmerman, R. D. (2008). A review and meta-analysis of the nomological network of trainee reactions. Journal of Applied Psychology93(2), 280.
  42. Tan, J. A., Hall, R. J., & Boyce, C. (2003). The role of employee reactions in predicting training effectiveness. Human Resource Development Quarterly14(4), 397-411.
  43. Towler, A., Watson, A., & Surface, E. A. (2014). Signaling the importance of training. Journal of Managerial Psychology, 29(7). DOI: 10.1108/JMP-03-2012-0092
  44. Tracey, J. B., Hinkin, T. R., Tannenbaum, S., & Mathieu, J. E. (2001). The influence of individual characteristics and the work environment on varying levels of training outcomes. Human Resource Development Quarterly12(1), 5-23.
  45. Wang, G. G., & Wilcox, D. (2006). Training evaluation: Knowing more than is practiced. Advances in Developing Human Resources8(4), 528-539.
  46. Warr, P., Allan, C., & Birdi, K. (1999). Predicting three levels of training outcome. Journal of Occupational and Organizational Psychology72(3), 351-375.
  47. Womble, J. (2008). E-learning: The relationship among learner satisfaction, self-efficacy, and usefulness. The Business Review, Cambridge, 10(1), 182-188.
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