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The Influence of System Interface, Training Content and It Trust on ERP Learning Utilization: A Research Proposal

  • Chris N. Arasanmi
  • William Y. C. Wang
  • Harminder Singh
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 172)

Abstract

This paper examines the factors that affect the use of enterprise resource planning (ERP) systems in an e-commerce environment after they have been adopted. The model presented here extends the technology acceptance model (TAM) to examine how IT trust, training content, and the quality of the system interface influence the extent to which knowledge about using an ERP system is applied after it has been learnt during a training program. The model extends research on ERP utilization by proposing a set of variables which have not been explored in depth in studies on the use of ERP systems, especially in the context of e- commerce.

Keywords

IT trust system interface system utilization training content 

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References

  1. 1.
    Ajzen, I.: The theory of Planned Behavior. Organizational Behavior and Human Decision Processes 50(2), 179–211 (1991)CrossRefGoogle Scholar
  2. 2.
    Amoako-Gyampah, K., Salam, A.F.: An extension of the technology acceptance model in an ERP implementation environment. Information & Management 41, 731–745 (2004)CrossRefGoogle Scholar
  3. 3.
    Choi, D.H., Kim, J., Kim, S.H.: ERP training with a web-based electronic learning system: The flow theory perspective. International Journal of Human-Computer Studies 65, 223–243 (2007)CrossRefGoogle Scholar
  4. 4.
    Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13(3), 319–339 (1989)CrossRefGoogle Scholar
  5. 5.
    Ifinedo, P.: Impacts of business vision, top management support, and external expertise on ERP success. Business Process Management Journal 14(4), 551–568 (2008)CrossRefGoogle Scholar
  6. 6.
    Koh, S.C.L., Gunasekaran, A., Cooper, J.R.: The demand for training and consultancy investment in SME-specific ERP systems (2009)Google Scholar
  7. 7.
    Lim, H., Lee, S.-G., Nam, K.: Validating E-learning factors affecting training effectiveness. International Journal of Information Management 27, 22–35 (2007)CrossRefGoogle Scholar
  8. 8.
    Lippert, S.K.: Investigating Post adoption Utilization: An Examination into the Role of Inter-organizational and Technology Trust. IEEE Transactions of Engineering Management 54(3) (2007)Google Scholar
  9. 9.
    Lippert, S.K., Forman, H.: Utilization of Information Technology: Examining Cognitive and Experiential Factors of Post-Adoption Behavior. IEEE Transactions Of Engineering Management 52(3) (2005)Google Scholar
  10. 10.
    Mouakket, S.: Extending the Technology Acceptance Model to Inves- tigate the Utilization of ERP Systems. International Journal of Enterprise Systems 6(4), 38–54 (2010)CrossRefGoogle Scholar
  11. 11.
    Osei-Bryson, K.M., Dong, L., Ngwenyama, O.: Exploring manage- rial factors affecting ERP implementation: An investigation of the Klein-sorra model using regression splines. Information Systems Journal 18(5), 499–527 (2008)CrossRefGoogle Scholar
  12. 12.
    Rogers, E.M.: Diffusion of Innovations. Free Press, New York (1995)Google Scholar
  13. 13.
    Scott, J.E., Walczak, S.: Cognitive engagement with a multi- media ERP training tool: Assessing computer self-efficacy and technology acceptance. Information & Management 56, 221–232 (2009)CrossRefGoogle Scholar
  14. 14.
    Simonsen, M., Sen, M.K.: Conceptual Frameworks in Practice: Evaluating End- User Training Strategy in Organizations. Presented at the meeting of the SIGMIS, Tucson, Arizona (2004)Google Scholar
  15. 15.
    Srivardhana, T., Pawlowski, S.D.: ERP systems as an enabler of sustained business process innovation: A knowledged-based view. Strategic Information Systems 16, 51–69 (2007)CrossRefGoogle Scholar
  16. 16.
    Taylor, S., Todd, P.A.: Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research 6(2) (1995)Google Scholar
  17. 17.
    Thatcher, J.B., McKnight, D.H., Baker, E.W., Arsal, R.E., Roberts, N.H.: The Role of Trust in Post Adoption IT Exploration: An Empirical Examination of Knowledge Management Systems. IEEE Transactions of Engineering Management 58(1) (2011)Google Scholar
  18. 18.
    Umble, E.J., Haft, R.R., Umble, M.M.: Enterprise resource planning: Implementation procedures and critical success factors. European Journal of Operational Research 146, 241–257 (2003)zbMATHCrossRefGoogle Scholar
  19. 19.
    Volery, T., Lord, D.: Critical success factors in online education. The International Journal of Educational Management 14(5), 216–223 (2000)Google Scholar
  20. 20.
    Wang, W., Benbasat, I.: Integrating TAM and Trust to explain online recommendation agent adoption. Journal of the Association of Information Systems 6, 72–101 (2005)Google Scholar
  21. 21.
    Wymer, S.A., Regan, E.A.: Factors Influencing e-commerce Adoption and Use by Small and Medium Businesses. Electronic Markets 15(4), 438–453 (2007)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Chris N. Arasanmi
    • 1
  • William Y. C. Wang
    • 1
  • Harminder Singh
    • 1
  1. 1.Auckland University of TechnologyAucklandNew Zealand

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