Skip to main content

Exploring Public Cloud-ERP Systems’ Impact on Organizational Performance

  • Conference paper
  • First Online:
Proceedings of the Future Technologies Conference (FTC) 2022, Volume 3 (FTC 2022 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 561))

Included in the following conference series:

Abstract

Moving enterprise resource planning (ERP) systems to the cloud seems inevitable. The cloud-ERP systems provide many opportunities to organizations. On the other hand, barriers, and challenges to this move still exist. This research provides an overview of relevant academic literature on public cloud-ERP migration and identifies the status quo for the body of knowledge within cloud-ERPs delivered through software-as-a-service (SaaS). In addition, this paper explores the motivators and inhibitors, and if cloud-ERP provides the ability to enhance organizational performance from an IT perspective. The study is motivated by a gap in research in investigating if cloud-ERP systems’ characteristics encourage or hinder enterprises from migrating to the public cloud. Cloud-ERPs delivered in SaaS models are distributed as a service over the Internet, usually through a public cloud infrastructure with shared resources. SaaS enables organizations to pay for services and functions they use and removes the need to maintain the complex information technology infrastructure by client organizations. The cloud-ERP-system’s characteristics found in the literature are organized, and presented based on DeLone, and McLean’s IS success model dimensions, and the Technology-Organization-Environment (TOE) framework. Our main findings suggest that cloud-ERP’s system and service quality are the most discussed issues in the literature. The system quality attributes of cloud-ERPs identified are scalability, availability, accessibility, reliability, and the ability to compose and customize web services, motivating organizations to adopt cloud-based ERP. On the other hand, service quality attributes are found as inhibitors for moving to the cloud due to the organization´s dependency on vendors´ support and service throughout the product lifecycle, and the security risks related to the public cloud environment.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Christiansen, V., Haddara, M., Langseth, M.: Factors affecting cloud ERP adoption decisions in organizations. Procedia Comput. Sci. 196, 255–262 (2022)

    Article  Google Scholar 

  2. Sædberg, A., Haddara, M.: An exploration of adoption factors for cloud-based ERP systems in the public sector. In: NOKOBIT, vol. 24, no. 1 (2016)

    Google Scholar 

  3. Gupta, S., Misra, S.C., Singh, A., Kumar, V., Kumar, U.: Identification of challenges and their ranking in the implementation of cloud ERP: a comparative study for SMEs and large organizations. Int. J. Qual. Reliabil. Manag. (2017). https://doi.org/10.1108/ijqrm-09-2015-0133

  4. Wang, X.V., Xu, X.W.: An interoperable solution for cloud manufacturing. Robot. Comput. Integr. Manuf. 29(4), 232–247 (2013). https://doi.org/10.1016/j.rcim.2013.01.005

    Article  Google Scholar 

  5. Galov, N.: 25 cloud computing statistics in 2020 - will AWS domination continue? In: HostingTribunal (2020)

    Google Scholar 

  6. Saa, P., Moscoso-Zea, O., Costales, A.C., Luján-Mora, S.: Data security issues in cloud-based Software-as-a-Service ERP. In: 2017 12th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–7. IEEE (2017). https://doi.org/10.23919/cisti.2017.7975779

  7. Bjelland, E., Haddara, M.: Evolution of ERP systems in the cloud: a study on system updates. Systems 6(2), 22 (2018)

    Article  Google Scholar 

  8. Demi, S., Haddara, M.: Do cloud ERP systems retire? An ERP lifecycle perspective. Procedia Comput. Sci. 138, 587–594 (2018). https://doi.org/10.1016/j.procs.2018.10.079

    Article  Google Scholar 

  9. Gartner: Gartner forecasts worldwide public cloud revenue to grow 17.5 percent in 2019 (2019)

    Google Scholar 

  10. Haddara, M., Staaby, A.: RFID applications for patient safety in the healthcare sector. In: Quality of Healthcare in the Aftermath of the COVID-19 Pandemic, pp. 155–179. IGI Global (2022)

    Google Scholar 

  11. DeLone, W.H., McLean, E.R.: The DeLone and McLean model of information systems success: a ten-year update. J. Manag. Inf. Syst. 19(4), 9–30 (2003). https://doi.org/10.1080/07421222.2003.11045748

    Article  Google Scholar 

  12. Tornatzky, L.G., Fleischer, M., Chakrabarti, A.K.: Processes of Technological Innovation. Lexington Books, Lexington (1990)

    Google Scholar 

  13. Webster, J., Watson, R.T.: Analyzing the past to prepare for the future: writing a literature review. MIS Q., xiii–xxiii (2002). https://doi.org/10.1080/12460125.2020.1798591

  14. Sandberg, J., Alvesson, M.: Ways of constructing research questions: gap-spotting or problematization? Organization 18(1), 23–44 (2011). https://doi.org/10.1177/1350508410372151

    Article  Google Scholar 

  15. DeLone, W.H., McLean, E.R.: Measuring e-commerce success: applying the DeLone & McLean information systems success model. Int. J. Electron. Commer. 9(1), 31–47 (2004). https://doi.org/10.1080/10864415.2004.11044317

    Article  Google Scholar 

  16. Chang, Y.-W.: What drives organizations to switch to cloud ERP systems? The impacts of enablers and inhibitors. J. Enterp. Inf. Manag. (2020). https://doi.org/10.1108/jeim-06-2019-0148

  17. Alsharari, N.M., Al-Shboul, M., Alteneiji, S.: Implementation of cloud ERP in the SME: evidence from UAE. J. Small Bus. Enterp. Dev. (2020). https://doi.org/10.1108/jsbed-01-2019-0007

  18. Alsharari, N.M.: Cloud computing and ERP assimilation in the public sector: institutional perspectives. Transf. Gov. People Process Policy 16, 97–109 (2021)

    Google Scholar 

  19. Abd Elmonem, M.A., Nasr, E.S., Geith, M.H.: Benefits and challenges of cloud ERP systems–a systematic literature review. Future Comput. Inform. J. 1(1–2), 1–9 (2016). https://doi.org/10.1016/j.fcij.2017.03.003

    Article  Google Scholar 

  20. Chen, C.-S., Liang, W.-Y., Hsu, H.-Y.: A cloud computing platform for ERP applications. Appl. Soft Comput. 27, 127–136 (2015). https://doi.org/10.1016/j.asoc.2014.11.009

    Article  Google Scholar 

  21. López, C., Ishizaka, A.: GAHPSort: a new group multi-criteria decision method for sorting a large number of the cloud-based ERP solutions. Comput. Ind. 92, 12–25 (2017). https://doi.org/10.1016/j.compind.2017.06.007

    Article  Google Scholar 

  22. Sørheller, V.U., Høvik, E.J., Hustad, E., Vassilakopoulou, P.: Implementing cloud ERP solutions: a review of sociotechnical concerns. Procedia Comput. Sci. 138, 470–477 (2018). https://doi.org/10.1016/j.procs.2018.10.065

    Article  Google Scholar 

  23. Gupta, S., Meissonier, R., Drave, V.A., Roubaud, D.: Examining the impact of Cloud ERP on sustainable performance: a dynamic capability view. Int. J. Inf. Manag. 51, 102028 (2020). https://doi.org/10.1016/j.ijinfomgt.2019.10.013

    Article  Google Scholar 

  24. Jain, D., Sharma, Y.: Cloud computing with ERP-a push business towards higher efficiency. Ann. Res. J. SCMS Pune 4 (2016). https://doi.org/10.2139/ssrn.2755457

  25. Tongsuksai, S., Mathrani, S., Taskin, N.: Cloud enterprise resource planning implementation: a systematic literature review of critical success factors. In: 2019 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), pp. 1–8. IEEE (2019). https://doi.org/10.1109/csde48274.2019.9162373

  26. Muslmani, B.K., Kazakzeh, S., Ayoubi, E., Aljawarneh, S.: Reducing integration complexity of cloud-based ERP systems. In: Proceedings of the First International Conference on Data Science, E-learning and Information Systems, pp. 1–6 (2018). https://doi.org/10.1145/3279996.3280033

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Moutaz Haddara .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Øverdal, M., Haddara, M., Langseth, M. (2023). Exploring Public Cloud-ERP Systems’ Impact on Organizational Performance. In: Arai, K. (eds) Proceedings of the Future Technologies Conference (FTC) 2022, Volume 3. FTC 2022 2022. Lecture Notes in Networks and Systems, vol 561. Springer, Cham. https://doi.org/10.1007/978-3-031-18344-7_8

Download citation

Publish with us

Policies and ethics