ERP-End-User Training Through E-Learning: What Should the User Focus On?

  • Lukas Paa
  • Felix Piazolo
Conference paper
Part of the Lecture Notes in Information Systems and Organisation book series (LNISO, volume 8)


End-user training (EUT) plays an important role in enterprise resource planning (ERP) implementations and successful operations. Nowadays, most EUT is conducted with the support of digital media. In this study we investigated the impact of the amount of time spent by learners on different content types, namely media enriched text and video screenings, on acquired factual and conceptual knowledge as well as acquired skills concerning the ERP system. Findings show that more is not categorically better.


End-user training Learning objective Learning content Successful training E-learning 


  1. 1.
    Iansiti, M., Sarnoff, D., & Favaloro, G. (2006). Enterprise IT Capabilities and Business Performance. Keystone strategy inc. Report,
  2. 2.
    Leyh, C., Winkelmann, A., & Lu, J. (2011). Exploring the diversity of ERP systems—an empirical insight into system usage in academia. Proceedings of the Americas Conference on Information Systems, Detroit, USA.Google Scholar
  3. 3.
    Mediengruppe, K. (2011). Einsatz von ERP-Lösungen in der Industrie. Leinfelden Echterdingen.Google Scholar
  4. 4.
    Freifeld, L. (2012). 2012 TRAINING Industry report. Trains magazine, 49, 20–33.Google Scholar
  5. 5.
    Scott, J., & Walczak, S. (2009). Cognitive engagement with a multimedia ERP training tool: Assessing computer self-efficacy and technology acceptance. Information and Management, 46, 221–232.CrossRefGoogle Scholar
  6. 6.
    Umble, E. J., Haft, R. R., & Umble, M. M. (2003). Enterprise resource planning: Implementation procedures and critical success factors. European Journal of Operational Research, 146, 241–257.CrossRefGoogle Scholar
  7. 7.
    Noguera, J. H., & Watson, E. F. (2004). Effectiveness of using an enterprise system to teach process-centered concepts in business education. Journal of Enterprise Information Management, 17, 56–74.CrossRefGoogle Scholar
  8. 8.
    Kirkham, K., & Seymour, L. (2005). The value of teaching using a live ERP System with resource constraints. World Conference on Computers in Education. Stellenbosch, South Africa.Google Scholar
  9. 9.
    Gupta, S., & Bostrom, R. P. (2006). End-user training methods: what we know, need to know. Proceedings of the 2006 ACM SIGMIS CPR conference on computer personnel research: Forty four years of computer personnel research: achievements, challenges and the future. (pp. 172–182). ACM.Google Scholar
  10. 10.
    Paa, L., & Ates, N. (2013). Critical success factors of e-learning scenarios for ERP end-user training. In F. Piazolo & Felderer, M. (Eds.), Innovation and Future of Enterprise Information Systems. (pp. 87–100). Springer.Google Scholar
  11. 11.
    Paa, L., Ebner, M., Piazolo, F., & Ates, N. (2012). Rechnet sich Blended Learning an Hochschulen ? Eine ökonomische Betrachtung von e-Learning Maßnahmen. In J. Desel, J. M. Haake & C. Spannagel (Eds.), DeLFI 2012: Die 10. e-Learning Fachtagung Informatik. (pp. 267–278). Bonn.Google Scholar
  12. 12.
    Bloom, B., Engelhart, M., & Furst, E. (1956). Taxonomy of educational objectives: Handbook I: Cognitive domain. New York: David McKay.Google Scholar
  13. 13.
    Krathwohl, D. R. (2002). A revision of Bloom’s taxonomy: An overview. Theory Practice, 41, 212–218.CrossRefGoogle Scholar
  14. 14.
    Haladyna, T. M., Downing, S. M., & Rodriguez, M. C. (2002). A review of multiple-choice item-writing guidelines for classroom assessment. Applied Measurement in Education, 15, 309–333.CrossRefGoogle Scholar
  15. 15.
    Imrie, B. (1995). Assessment for learning: quality and taxonomies. Assessment and Evaluation in Higher Education, 20(2), 175–189.Google Scholar
  16. 16.
    Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological Review, 84, 191–215.CrossRefGoogle Scholar
  17. 17.
    Bandura, A. (1997). Self-efficacy: The exercise of control. New York: Freeman.Google Scholar
  18. 18.
    Aiken, L., & West, S. (1991). Multiple regression: Testing and interpreting interactions. Newbury Park: Sage Publications.Google Scholar
  19. 19.
    Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale: Lawrence Erlbaum Associates.Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of Strategic Management, Marketing and TourismUniversity of InnsbruckInnsbruckAustria

Personalised recommendations