Advertisement

Exploring the Adoption of ERP Systems: An Empirical Investigation of End-Users in an Emerging Country

  • Gulsah Hancerliogullari KoksalmisEmail author
  • Seckin Damar
Conference paper
Part of the Lecture Notes in Management and Industrial Engineering book series (LNMIE)

Abstract

Enterprise resource planning (ERP) is an integrated management system that aims to bring together all the data and processes of an organization. There are many factors influencing the use of ERP systems. The purpose of this study is to analyze a variety of factors that affect end-users’ behavioral intention to use ERP implementation based on the technology acceptance model (TAM). Besides the basic constructs of TAM, we determined other constructs such as consultant support and user guidance. The data was collected from end-users who used or have been using an ERP system in the companies. A total of 136 responses were obtained. SmartPLS software was used for the data analysis and testing of the validity of the hypotheses. The results show that perceived usefulness affect behavioral intention to use an ERP system, while perceived ease of use is not a significant determinant of ERP system usage. Moreover, both perceived ease of use and user guidance affect perceived usefulness and consultant support affect perceived ease of use.

Keywords

Enterprice resource planning Technology acceptance model Consultant support User guidance 

References

  1. Abugabah, A., & Sangozni, L. (2010). Enterprise resource planning (ERP) system in higher education: A literature review and implications. International Journal of Human and Social Sciences, 5(6), 395–399.Google Scholar
  2. Agarwal, R., & Karahanna, E. (2000). Time flies when you’re having fun: cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665–694.CrossRefGoogle Scholar
  3. Agaoglu, M., Yurtkoru, E. S., & Kucukaslan Ekmekci, A. (2015). The effect of ERP implementation CSFs on business performance: An empirical study on users’ perception. Procedia—Social and Behavioral Sciences, 210, 35–42.CrossRefGoogle Scholar
  4. Al-Aulamie, A. (2013). Enhanced technology acceptance model to explain and predict learners’ behavioral intentions in learning management systems. University of Bedfordshire.Google Scholar
  5. Amoako-Gyampah, K., & Salam, A. F. (2004). An extension of the technology acceptance model in an ERP implementation environment. Information & Management, 41, 731–745.CrossRefGoogle Scholar
  6. Arasanmi, C. N., Wang, W. Y. C., & Singh, H. (2017). Examining the motivators of training transfer in an enterprise systems context. Enterprise Information Systems, 11(8), 1154–1172.CrossRefGoogle Scholar
  7. Bayraktar, C. A., Hancerliogullari, G., Cetinguc, B., & Calisir, F. (2017). Competitive strategies, innovation, and firm performance: an empirical study in a developing economy environment. Technology Analysis & Strategic Management, 29(1), 38–52.CrossRefGoogle Scholar
  8. Calisir, F., & Calisir, F. (2004). The relation of interface usability characteristics, perceived usefulness, and perceived ease of use to end-user satisfaction with enterprise resource planning (ERP) systems. Computers in Human Behavior, 20, 505–515.CrossRefGoogle Scholar
  9. Chang, H. H., Chou, H. W., Yin, C. P., & Lin, C. I. (2011). ERP post-implementation learning, ERP usage and individual performance impact. In Pacific Asia Conference on Information Systems (PACIS), Quality Research in Pacific Asia, Brisbane, QLD, Australia.Google Scholar
  10. Davis, F. D. (1986). A technology acceptance model for empirically testing new end user information systems: Theory and results. Massachusetts Institute of Technology.Google Scholar
  11. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3):319–340.CrossRefGoogle Scholar
  12. Davis, F., Bagozzi, R., & Warshaw, P. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111–1132.CrossRefGoogle Scholar
  13. Gül, M. M. (2017). Extending the technology acceptance model with interface usability to examine ERP users’ behavioral intentions: a Sap Fiori case (Master’s thesis). Bahcesehir University Graduate School of Social Sciences, Istanbul.Google Scholar
  14. Kwak, Y. H., Park, J., Chung, B. Y., & Ghosh, S. (2012). Understanding end-users’ acceptance of enterprise resource planning (ERP) system in project-based sectors. IEEE Transactions on Engineering Management, 59(2), 266–277.CrossRefGoogle Scholar
  15. Lin, H. X., Choong, Y., & Salvendy, G. (1997). A proposed index of usability: A method for comparing the relative usability of different software systems. Behaviour & Information Technology, 16(4/5), 267–278.CrossRefGoogle Scholar
  16. Maditinos, D., Chatzoudes, D., & Tsairidis, C. (2010). Factors affecting ERP system implementation effectiveness. Journal of Enterprise Information Management, 25(1), 60–78.CrossRefGoogle Scholar
  17. Mahindroo, A., Singh, H., & Samalia, H. V. (2012). Factors impacting intention to use of ERP systems in Indian context: an empirical analysis. Procedia Information Technology.Google Scholar
  18. Mahmud, I., Ramayah, T., & Kurnia, S. (2017). To use or not to use: Modelling end user grumbling as user resistance in pre-implementation stage of enterprise resource planning system. Information Systems, 69, 164–179.CrossRefGoogle Scholar
  19. Nwankpa, J., & Roumani, Y. (2014). Understanding the link between organizational learning capability and ERP system usage: An empirical examination. Computers in Human Behavior, 33, 224–234.CrossRefGoogle Scholar
  20. Rajan, C. A., & Baral, R. (2015). Adoption of ERP system: an empirical study of factors influencing the usage of ERP and its impact on end user. IIMB Management Review, 27(2), 105–117.CrossRefGoogle Scholar
  21. Somers, T. M., & Nelson, K. (2001). The impact of critical success factors across the stages of enterprise resource planning implementation. In Proceedings of the 34th Hawaii International Conference on Systems Sciences (HICSS-34), Maui, Hawaii.Google Scholar
  22. Sternad, S., Gradisar, M., & Bobek, S. (2011). The influence of external factors on routine ERP usage. Industrial Management & Data Systems, 111(9), 1511–1530.CrossRefGoogle Scholar
  23. Sternad, S., & Bobek, S. (2013). Impacts of TAM-based external factors on ERP acceptance. Procedia Technology, 9, 33–42.CrossRefGoogle Scholar
  24. Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144–176.CrossRefGoogle Scholar
  25. Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–365.CrossRefGoogle Scholar
  26. Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.CrossRefGoogle Scholar
  27. Weinrich, K. I., & Ahmad, N. (2009). Lessons learned during a decade of ERP experience: A case study. International Journal of Enterprise Information Systems, 5(1), 55–75.CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Gulsah Hancerliogullari Koksalmis
    • 1
    Email author
  • Seckin Damar
    • 1
  1. 1.Industrial Engineering Department, Management FacultyIstanbul Technical UniversityIstanbulTurkey

Personalised recommendations