skip to main content
10.5555/1854360.1854418dlproceedingsArticle/Chapter ViewAbstractPublication PagesiclsConference Proceedingsconference-collections
research-article

Motivation to transfer revisited

Published:29 June 2010Publication History

ABSTRACT

Should the construct 'motivation to transfer' used inhuman resource development and management research be also used in learning research? The current study revisited motivation to transfer on a sample of 128 participants of occupational health training Confirmatory factor analysis and partial least squaresbased path modeling were used to test the hypothesized dimensions and relationships among variables including social and affective cues on training transfer. Based on a combination of the theory of planned behavior, expectancy theory, and self-determination theory, we validated three dimensions of transfer motivation: autonomous motivation to transfer, controlled motivation to transfer, and intentions to transfer. Results indicate that autonomous motivation was affected by attitudes toward training content and utility reactions controlled motivation was affected by utility reactions, supervisory support, and social norms. Intentions to transfer mediated the effects of autonomous motivation on transfer three months after training. Implications of a multidisciplinary perspective combining learning sciences and human resource development are discussed.

References

  1. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179--211.Google ScholarGoogle ScholarCross RefCross Ref
  2. Baard, P. P., Deci, E. L., & Ryan, R. M. (2004). Intrinsic need satisfaction: Amotivational basis of performance and well-being in two work settings. Journal of Applied Social Psychology, 34, 2045--2068.Google ScholarGoogle ScholarCross RefCross Ref
  3. Bentler, P. M. (2005). EQS 6 structural equations program manual. Encino, CA: Multivariate Software.Google ScholarGoogle Scholar
  4. Bransford, J. D., & Schwartz, D. L. (1999). Rethinking transfer: A simple proposal with multipleimplications. Review of research on education, 24, 61--100.Google ScholarGoogle Scholar
  5. Burke, L. A., & Hutchins, H. M. (2007). Training transfer: An integrative literature review Human Resource Development Review, 6, 263--296.Google ScholarGoogle Scholar
  6. Chin, W., & Newstead, P. (1999). Structural equation modeling analysis with small samples using paral least squares. In R. Hoyle (Ed.), Statistical strategies for small sample research (pp. 307--341). Thousand Oaks, CA: Sage.Google ScholarGoogle Scholar
  7. Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Fort Worth, TX: Harcourt.Google ScholarGoogle Scholar
  8. Festner, D. & Gruber, H. (2008). Conditions of work environments in fostering transfer of training. In S. Billett, C. Harteis, & A. Etelääpelto (Eds.), Emerging perspectives of workplaæ learning (pp. 215--231). Rotterdam: Sense.Google ScholarGoogle Scholar
  9. Gegenfurtner, A., Festner, D., Gallenberger, W., Lehtinen, E., & Gruber, H. (2009) Predicting autonomous and controlled motivation to transfer training. International Journal of Training and Development, 13, 124--138.Google ScholarGoogle ScholarCross RefCross Ref
  10. Gegenfurtner, A., & Gruber, H. (2009, August). Do intentions mediate the transfer process? Testing the theory of planned behaviour. Paper presented at the 13th Conference of the European Association for Research on Learning and Instruction Amsterdam.Google ScholarGoogle Scholar
  11. Gegenfurtner, A., Veermans, K., Festner, D., & Gruber, H. (2009). Motivation to transfer training: An integrative literature review. Human Resource Development Review, 8, 403--423.Google ScholarGoogle ScholarCross RefCross Ref
  12. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6th ed.). Upper Saddle River, NJ: Prentice Hall.Google ScholarGoogle Scholar
  13. Hickey, D. T., Moore, A. L., & Pellegrino, J. W. (2001). The motivational and academic consequences of elementary mathematics environments: Do constructivist innovations and reforms make a difference? American Educational Research Journal, 38, 611--652Google ScholarGoogle ScholarCross RefCross Ref
  14. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: inventional criteria versus newalternatives. Structural Equation Modeling 6, 1--55.Google ScholarGoogle ScholarCross RefCross Ref
  15. Järvelä, S., Volet, S., & Jäärvenoja, H. (2010). Research on motivation in collaborative learning: Moving beyond the cognitive-situative divide and combining individual and social processes Educational Psychologist, 45, 15--27.Google ScholarGoogle Scholar
  16. Kanfer, R. (1990). Motivation theory and industrial and organizational psychology. In M. D. Dunnette & L. Hough (Eds.), Handbook of industrial and organizational psychology (Vol. 1, pp. 75--170). Palo Alto, CA: Consulting Psychologists Press.Google ScholarGoogle Scholar
  17. Kapur, M., & Kinzer, C. K. (2009). Productive failure in CSCL groups. International Journal of Computer-Supported collaborative learning 4, 21--46.Google ScholarGoogle Scholar
  18. Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: Guilford.Google ScholarGoogle Scholar
  19. Lehtinen, E., & Hannula, M. M. (2006). Attentional processes, abstraction, and transfer in earlymathematical development. In L. Verschaffel, F. Dochy, M. Boekaerts, & S. Vosniadou (Eds.), Instructional psychology: Past, present and future trends. Fifteen essays in honour of Erik De Corte (pp. 39--54). Oxford: Elsevier.Google ScholarGoogle Scholar
  20. Leitl, J., & Zempel-Dohmen, J. (2006). Die Bedeutung des Arbeitsumfelds füür die Veränderung der Transfermotivation. {The impact of work environment on the changing level of motivation to transfer} Zeitschrift für Arbeits- und Organisationspsychologie, 50, 92--102.Google ScholarGoogle Scholar
  21. MacCallum, R. C., Widaman, K. F., Zhang, S., & Hong, S. (1999). Sample size in factor analysis. Psychological Methods, 4, 84--99.Google ScholarGoogle ScholarCross RefCross Ref
  22. Machin, M. A., & Fogarty, G. J. (1997). The effects of self-efficacy, motivation to transfer, and situational constraints on transfer intentions and transfer of training. Performance Improvement Quarterly, 10, 98--115.Google ScholarGoogle ScholarCross RefCross Ref
  23. MacKinnon, D. P., Fairchild, A. J., & Fritz, M. S. (2007). Mediation analysis. Annual Review of Psychology, 58, 593--614.Google ScholarGoogle ScholarCross RefCross Ref
  24. Noe, R. A. (1986). Trainees' attributes and attitudes: Neglected influences on training effectiveness. Academy of Management Review, 11, 736--749.Google ScholarGoogle ScholarCross RefCross Ref
  25. Noe, R. A., & Schmitt, N. (1986). The influence of trainee attitudes on training effectiveness: Test of a model. Personnel Psychology, 39, 497--523.Google ScholarGoogle ScholarCross RefCross Ref
  26. Pugh, K. J., & Bergin, D. A. (2006). Motivational influences on transfer. Educational Psychologist, 41, 147--160.Google ScholarGoogle ScholarCross RefCross Ref
  27. Ringle, C. M., Wende, S., & Will, A. (2005). Smart PLS 2.0. Available at http://www.smartpls.de.Google ScholarGoogle Scholar
  28. Tai, W.-T. (2006). Effects of training framing, general self-efficacy and training motivation on trainees' training effectiveness. Personnel Review, 35, 51--65.Google ScholarGoogle ScholarCross RefCross Ref
  29. Tuomi, Gröhn, T., & Engesrööm, Y. (2003). Conceptualizing transfer: From standard notions to developmental perspectives. In T. Tuomi-Gröhn & Y. Engeströöm (Eds.), Between school and work. New perspectives on transfer and boundary-crossing (pp. 19--38). Oxford: Elsevier.Google ScholarGoogle Scholar
  30. Tziner, A., Haccoun, R. R., & Kadish, A. (1991). Personal and situational characteristics of transfer of training improvement strategies. Journal of Occupational Psychology, 64, 167--177.Google ScholarGoogle ScholarCross RefCross Ref
  31. Vauras, M., Salonen, P. & Kinnunen, R. (2008). Influences of group processes and interpersonal regulation on motivation, affect and achievement. In M. Maehr, S. Karabenick, & T. Urdan (Eds.) Social psychological perspectives. Advances in motivation and achievement (Vol. 15, pp. 275--314). New York: Emerald.Google ScholarGoogle Scholar
  32. Velada, R., Caetano, A., Bates, R., & Holton, E. (2009). Learning transfer--validation of the learning transfer system inventory in Portugal. Journal of European Industrial Training, 33, 635--656.Google ScholarGoogle ScholarCross RefCross Ref
  33. Vroom, V. H. (2005). On the origins of expectancy theory. In K. Smith & M. Hitt (Eds.), Great minds in management: The process of theory development (pp. 239--258). Oxford: Oxford University Press.Google ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image DL Hosted proceedings
    ICLS '10: Proceedings of the 9th International Conference of the Learning Sciences - Volume 1
    June 2010
    1190 pages

    Publisher

    International Society of the Learning Sciences

    Publication History

    • Published: 29 June 2010

    Qualifiers

    • research-article

    Acceptance Rates

    Overall Acceptance Rate307of307submissions,100%
  • Article Metrics

    • Downloads (Last 12 months)4
    • Downloads (Last 6 weeks)0

    Other Metrics

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader