Skip to main content

Factors Affecting the User Acceptance of ERP and the Impact on the Individuals: A Conceptual Model

  • Chapter
  • First Online:
  • 2114 Accesses

Part of the book series: Flexible Systems Management ((FLEXSYS))

Abstract

Enterprise Resource Planning or ERP integrates the data of all business areas within the organization. It is a complex technology involving different type of end users and implementing it in developing countries like India makes it even more difficult owing to the cultural and social differences. Effective usage of ERP leads to its success. However, degree of usage depends on many individual, organizational and technological factors. The post-ERP implementation is found to have impact on the user behavior and hence it is also essential to understand the impacts of the acceptance on the individual. This paper identifies the factors that affect the usage of ERP. A conceptual research framework is proposed to find the combined effect of the individual, organizational and technological factors on the ERP usage using the Technology Acceptance Model (TAM). The model also seeks to find out the impact of usage of ERP on panoptic empowerment, job satisfaction and individual performance.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Abugabah, A., & Sanzogni, L. (2009). Enterprise Resource Planning Systems (ERP) and user performance: A literature review. 20th Australasian Conference on Information Systems.

    Google Scholar 

  • Aiman-Smith, L., & Green, S. G. (2002). Characteristics and user learning activities implementing new manufacturing technology: Of technology characteristics and user learning activities. Academy of Management Journal, 45(2), 421–430.

    Article  Google Scholar 

  • Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice Hall.

    Google Scholar 

  • Aladwani, A. M. (2001). Change management strategies for successful ERP implementation. Business Process Management Journal, 7(3), 266–275.

    Article  Google Scholar 

  • Al-Mudimigh, A., Zairi, M., & Al-Mashari, M. (2001). ERP software implementation: An integrative framework. European Journal of Information Systems, 10(4), 216–226.

    Article  Google Scholar 

  • Amoako-gyampah, K., & Salam, A. F. (2004). An extension of the technology acceptance model in an ERP implementation environment. Information & Management, 41, 731–745.

    Article  Google Scholar 

  • Anandarajan, M., Igbaria, M., & Anakwe, U. P. (2002). IT acceptance in a less-developed country: A motivational factor perspective. International Journal of Information Management, 22, 47–65.

    Google Scholar 

  • Ang, J., & Soh, R. H. (1997). User information satisfaction, job satisfaction and computer background: An exploratory study. Information & Management, 32, 255–266.

    Article  Google Scholar 

  • Bandura, A. (1986). Social cognitive theory. Englewood Cliffs, NJ: Prentice Hall.

    Google Scholar 

  • Bingi, P., Sharma, M., & Godla, J. (1999). Critical issues affecting an ERP implementation. Information Systems Management, 16, 7–14.

    Article  Google Scholar 

  • Botta-genoulaz, V., Millet, P., & Grabot, B. (2005). Survey paper: A survey on the recent research literature on ERP systems. Computers in Industry, 56, 510–522.

    Article  Google Scholar 

  • Chang, M. K., Cheung, W., Cheng, C. H., & Yeung, J. H. Y. (2008). Understanding ERP system adoption from the user’s perspective. International Journal of Production Economics, 113, 928–942.

    Article  Google Scholar 

  • Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on and innovation learning. Adminstrative Science Quarterly, 35(1), 128–152.

    Article  Google Scholar 

  • Compeau, D. R., & Higgins, C. A. (1995). Computer self efficacy: Development of a measure and initial test. Management Information Systems, 19 (2), 189–211.

    Article  Google Scholar 

  • Davenport, T. H. (1998). Putting the enterprise into the enterprise system. Harvard Business Review, 76(4), 121–131.

    Google Scholar 

  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.

    Article  Google Scholar 

  • Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22, 1111–1132.

    Article  Google Scholar 

  • Decoster, S. A. (2009). Behavioral aspects in the use of ERP systems: Study of a global organization. European Conference on Information Systems.

    Google Scholar 

  • Decoster, S. A. & Zwicker, R. (2009). Behavioral aspects in the use of ERP systems: Study of a global organization. Proceedings of European conference on Information systems Proceedings, Paper 47.

    Google Scholar 

  • DeLone, W., & McLean, E. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60–95.

    Article  Google Scholar 

  • Donalds, C. (2010). Towards an ERP individual performance model. International Conference on Information Resources Management.

    Google Scholar 

  • Elmes, M. B., Strong, D. M., & Volkoff, O. (2005). Panoptic empowerment and reflective conformity in enterprise systems-enabled organizations. Information and Organization, 15, 1–37.

    Article  Google Scholar 

  • Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.

    Google Scholar 

  • Foucault, M. (1979). Discipline and punish: The birth of the prison. London: Peregrine Books.

    Google Scholar 

  • Gefen, D. (2004). What makes an ERP implementation relationship worthwhile: Linking trust mechanisms and ERP usefulness. Journal of MIS, 21(1), 263–288.

    Google Scholar 

  • Gelderman, M. (1998). The relation between user satisfaction, usage of information systems and performance. Information & Management, 34, 11–18.

    Article  Google Scholar 

  • Gist, M. E. (1987). Self-efficacy: Implications for organizational behavior and human resource management. The Academy of Management Review, 12(3), 472.

    Google Scholar 

  • Goodhue, D. L., & Thompson, R. L. (1995). Task- technology fit and individual performance. MIS Quarterly, 19, 213–233.

    Article  Google Scholar 

  • Gupta, A. (2000). Enterprise resource planning: The emerging organizational value systems. Industrial Management & Data Systems, 100, 114–118.

    Article  Google Scholar 

  • Hackman, J. R., & Oldham, G. R. (1980). Work redesign. Reading, MA: Addison-Wesley.

    Google Scholar 

  • Hanseth, O., Ciborra, C. U., & Braa, K. (2001). The control devolution: ERP and the side effects of globalization. Database for Advances in Information Systems, 32(4), 34.

    Article  Google Scholar 

  • Hong, K. K., & Kim, Y. G. (2002). The critical success factors for ERP implementation: An organizational fit perspective. Information and Management, 40 (1), 25–40.

    Article  Google Scholar 

  • Igbaria, M., Guimaraes, T., Davis, G. B., & Guimarães, T. O. R. (1995). Testing the determinants of microcomputer usage via a structural equation model. Journal of Management, 11(4), 87–114.

    Google Scholar 

  • Igbaria, M., Zinatelli, N., Cragg, P., & Cavaye, A. (1997). Personal computing acceptance factors in small firms: A structural equation model. MIS Quarterly, 21(3), 279–305.

    Article  Google Scholar 

  • Kamhawi, E. M. (2007). Critical success factors for implementation success of ERP systems: An empirical investigation from Bahrain. International Journal of Enterprise Information Systems, 3(2), 34–49.

    Article  Google Scholar 

  • Kanwal, S., & Manarvi, I. A. (2010). Evaluating ERP usage behavior of employees and its impact on their performance: A case of telecom sector. Global Journal of Computer Science and Technology, 10(9), 34–41.

    Google Scholar 

  • Kerimoglu, O., Basoglu, N., & Daim, T. (2008). Organizational adoption of information technologies: Case of enterprise resource planning systems. Journal of High Technology Management Research, 19, 21–35.

    Article  Google Scholar 

  • Korunka, C., & Vitouch, O. (1999). Effects of the implementation of information technology on employees’ strain and job satisfaction: A context-dependent approach. Work & Stress, 13(4), 341–363.

    Article  Google Scholar 

  • Kumar, K., & Hillergersberg, J. (2000). ERP experience and evolution. Communications of the ACM, 43(4), 23–6.

    Google Scholar 

  • Kumar, M. P. (2002). Job satisfaction among permanent and contractual information technology workers. Unpublished manuscript, Temple University.

    Google Scholar 

  • Kwahk, K.-Y., & Ahn, H. (2010). Moderating effects of localization differences on ERP use: A socio-technical systems perspective. Computers in Human Behavior, 26(2), 186–198.

    Article  Google Scholar 

  • Kwahk, K. -Y., & Kim, H. -W. (2008). Managing readiness in enterprise systems-driven organizational change. Behaviour and Information Technology, 27(1), 79–87.

    Article  Google Scholar 

  • Law, C., & Ngai, E. (2007). ERP systems adoption: An exploratory study of the organizational factors and impacts of ERP success. Information & Management, 44(4), 418–432.

    Article  Google Scholar 

  • Lederer, A. L., Maupin, D. J., Sena, M. P., & Zhuang, Y. L. (2000). The technology acceptance model and the world wide web. Decision Support Systems, 29 (3), 269–282.

    Article  Google Scholar 

  • Lee, S. M., Kim, I., Rhee, S., & Trimi, S. (2006). The role of exogenous factors in technology acceptance: The case of object-oriented technology. Information & Management, 43, 469–480.

    Article  Google Scholar 

  • Lee, D., Lee, S. M., & Olson, D. L. (2010). The effect of organizational support on ERP implementation. Industrial Management & Data Systems, 110(2), 269–283.

    Article  Google Scholar 

  • Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191–204.

    Article  Google Scholar 

  • Liang, H., Xue, Y., Boulton, W., & Byrd, T. (2004). Why western vendors don’t dominate China’s ERP market. Communications of the ACM, 47(7), 69–72.

    Article  Google Scholar 

  • Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007). Assimilation of enterprise systems: The effect of institutional pressures and the mediating role of top management. MIS Quarterly, 31(1), 59–87.

    Google Scholar 

  • Martinsons, M. G., & Chong, P. K. C. (1999). The influence of human factors and specialist involvement on information systems success. Human Relations, 52(1), 123–152.

    Google Scholar 

  • Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173–19.

    Article  Google Scholar 

  • Millman, Z., & Hartwick, J. (1987). The impact of automated office systems on middle managers and their work. MIS Quarterly, 11(4), 479–491.

    Article  Google Scholar 

  • Morris, M. G., & Venkatesh, V. (2010). Job characteristics and job satisfaction: Understanding the role of enterprise resource planning system implementation. MIS Quarterly, 34(1), 143–161.

    Google Scholar 

  • Nah, F. F. -H., Lau, J. L. -S., & Kuang, J. (2001). Critical factors for successful implementation of enterprise systems. Business Process Management Journal, 7(3), 285–296.

    Article  Google Scholar 

  • Ngai, E. W. T., Poon, J. K. L., & Chan, Y. H. C. (2007). Empirical examination of the adoption of WebCT using TAM. Computers and Education, 48(2), 250–267.

    Article  Google Scholar 

  • Orlikowski, W. (1993). CASE tools as organizational change: Investigating incremental and radical changes in systems development. MIS Quarterly, 17(3), 309–341.

    Article  Google Scholar 

  • Park, J., Suh, H., & Yang, H. (2007). Perceived absorptive capacity of individual users in performance of Enterprise Resource Planning (ERP) usage: The case for Korean firms. Information & Management, 44(3), 300–312.

    Article  Google Scholar 

  • Psoinas, A., Kern, T., & Smithson, S. (2000). An exploratory study of information systems in support of employee empowerment. Journal of Information Technology, 15(3), 211–230.

    Article  Google Scholar 

  • Ralph, W. (1991) The art of computer technical support. California: Peachipt Press.

    Google Scholar 

  • Robey, D., & Farrow, D. (1982). User involvement in information system development: A conflict model and empirical test. Management Science, 28(1), 73–85.

    Article  Google Scholar 

  • Rogers, E. M. (1995). Diffusion of innovations (4th ed.). New York: Free Press.

    Google Scholar 

  • Ryker, R. (1995). An empirical examination of the impact of computer information systems on users. Information & Management, 29(4), 207–214.

    Article  Google Scholar 

  • Sarker, S., & Lee, A. S. (2003). Using a case study to test the role of three key social enablers in ERP implementation. Information and Management, 40(8), 813–829.

    Article  Google Scholar 

  • Sia, S. K., & Tang, M. (2002). Enterprise Resource Planning (ERP) systems as a technology of power: Empowerment or panoptic control? Data Base for Advances in Information Systems, 33(1), 23–37.

    Article  Google Scholar 

  • Skok, W., & Doringer, H. (2001). Potential Impact of Cultural Differences on Enterprise Resource Planning (ERP) Projects. The Electronic Journal on Information Systems in Developing Countries, 7 (5), 1–8.

    Google Scholar 

  • Slevin, D. P., & Pinto, J. K. (1987). Balancing strategy and tactics in project implementation. Sloan Management Review, 29(6), Fall, 33–44

    Google Scholar 

  • Soja, P. (2008). Difficulties in enterprise system implementation in emerging economies: Insights from an exploratory study in Poland. Information Technology for Development, 14(1), 31–51.

    Article  Google Scholar 

  • Sokol, M. (1994). Adaptation to difficult designs: Facilitating use of new technologies. Journal of Business and Psychology, 8(3), 277–296.

    Article  Google Scholar 

  • Somers, T. M., & Nelson, K. (2001). The impact of critical success factors across the stages of enterprise resource planning implementations. Paper presented at the Proceedings of the 34th Hawaii International Conference on System Sciences.

    Google Scholar 

  • Szajna, B. (1993). Determining information system usage: Some issues and examples. Information & Management, 25, 147–154.

    Article  Google Scholar 

  • Szajna, B. (1996). Evaluation of the revised technology acceptance model. Management Science, 42(1), 85–92.

    Article  Google Scholar 

  • Tarafdar, M., & Roy, R. K. (2003). Analyzing the adoption of enterprise resource-planning systems in Indian organizations: A process framework. Journal of Global Information Technology Management, 6(1), 31–51.

    Google Scholar 

  • Taylor, S., & Todd, P. A. (1995). Assessing IT usage: The role of prior experience. MIS Quarterly, 19(4), 561–570.

    Article  Google Scholar 

  • Torkzadeh, G., & Doll, W. J. (1999). The development of a tool for measuring the perceived impact of information technology on work. Omega, 27(3), 327–339.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Venkatesh, V. (2006). Where to go from here? Thoughts on future directions for research on individual-level technology adoption with a focus on decision making. Decision Sciences, 37(4), 497–518.

    Article  Google Scholar 

  • Venkatesh, V., & Davis, F. D. (2000). Theoretical acceptance extension model: Field four studies of the technology longitudinal. Management Science, 46(2), 186–204.

    Article  Google Scholar 

  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.

    Google Scholar 

  • Wu, J. -H., & Wang, Y. -M. (2006). Measuring ERP success: The ultimate users view. International Journal of Operations & Production Management, 26(8), 882–903.

    Article  Google Scholar 

  • Yusuf, Y., Gunasekaran, A., & Abthorpe, M. S. (2004). Enterprise information systems project implementation: A case study of ERP in Rolls-Royce. International Journal of Production Economics, 87(3), 251–266.

    Article  Google Scholar 

  • Zahra, S. A., & George, G. (2002). Absorptive capacity: A review, reconceptualization, and extension. Academy of Management Review, 27(2), 185–203.

    Google Scholar 

  • Zhang, Z., Lee, M., Huang, P., Zhang, L., & Huang, X. (2005). A framework of ERP systems implementation success in China: An empirical study. International Journal of Production Economics, 98(1), 56–80.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Christy Angeline Rajan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer India

About this chapter

Cite this chapter

Rajan, C., Baral, R. (2014). Factors Affecting the User Acceptance of ERP and the Impact on the Individuals: A Conceptual Model. In: Nandakumar, M., Jharkharia, S., Nair, A. (eds) Organisational Flexibility and Competitiveness. Flexible Systems Management. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1668-1_12

Download citation

Publish with us

Policies and ethics