Abstract
Enterprise resource planning (ERP) is an industry-driven concept and system that is universally accepted by the industry as a practical solution to achieve integrated enterprise information systems. Enterprises are analyzing the use of cloud provision to carry out their business processes. The shift to the cloud-based business management technology has already started as it leverages the use of abstracted resources. This chapter strives to compare and contrast conventional ERP and cloud ERP systems with respect to three perspectives: organizational, business, and technological. In this chapter, the architecture of conventional ERP and cloud ERP are discussed as well as the business drivers and the deployment options during the implementation of cloud-based ERP system. A case study of a cloud ERP system is carried out, and the findings are presented for the benefit of the ERP implementation teams. The objective of the research study is to help the top management to determine the best deployment options for their organizations. This has been done by means of highlighting the potential benefits an enterprise can reap if they choose to stay with cloud ERP and the concerns they should address to minimize the risks leading to a low-cost and effortless implementation of a complete cloud-based ERP software solution.
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References
Boss, G. et al.: Cloud Computing: IBM White Paper, Version 1.0. Available via DIALOG: http://www.ibm.com (2007). Accessed 20 Apr 2011
Weinhardt, C., et al.: Business models in the service world. IT Prof. 1(March/April), 36–41 (2009)
Chang, V. et al.: A categorization of cloud business models. In: 10th International Symposium on Cluster, Cloud and Grid Computing, Melbourne, May 2010
Ragusa, C., Puliafito, A.: Running business applications in the Cloud: a use case perspective. In: Guarracino, M.R. (ed.) Euro-Par 2010 Parallel Processing Workshops. Lecture Notes in Computer Science, vol. 6586, pp. 595–602. Springer, Berlin/Heidelberg (2011)
Laugesen, N.S.: E-Skills for ICT practitioners and entrepreneurs. Danish Technical Institute-First Interim Report. Available Via DIALOG: http://europeaneskills.eu (2011). Accessed 25 June 2012
Greggo, A. Cloud computing in the enterprise: an overview. In: Enterprise Computing Conference, New York, 21–23 June 2009
Haynie, M.: Enterprise cloud services: deriving business value from cloud computing. Micro Focus Technical Report. Available Via DIALOG: http://www.techrepublic.com (2009). Accessed 20 Apr 2010
Huang, K.W., Sundararajan, A.: Pricing models for on-demand computing. Working Paper CeDER-05-26, Center for Digital Economy Research, Stern School of Business, New York University (2005)
Konary, A. et al.: The future of software licensing under siege. IDC White paper. Available Via DIALOG: http://www.softsummit.com (2004). Accessed 10 Jan 2011
Hofmann, P., Woods, D.: Cloud Computing: the limits of public Clouds for business applications. Internet Comput. IEEE 14, 90–93 (2010)
Kamhawi, E.M., Gunasekaran, A.: ERP systems implementation success factors: IS and non-IS managers’ perceptions. Int. J. Bus. Inf. Syst. 4, 688–704 (2009)
Kenji, E., Kushida, J.M., Zysman, J.: Diffusing the Cloud: Cloud Computing and Implications for Public Policy. J. Ind. Compet. Trade 11, 209–237 (2011)
Kochut, A.: Evolution of the IBM Cloud: enabling an enterprise cloud services ecosystem. IBM J. Res. Dev. 55, 7–13 (2011)
Nurmi, D. et al.: Eucalyptus: a technical report on an elastic utility computing architecture linking your programs to useful systems: UCSB Technical Report. Available Via DIALOG: http://cs.ucsb.edu/research (2008). Accessed 11 Feb 2012
Rappa, M.A.: The utility business model and the future of computing services. IBM Syst. J. 43, 32–42 (2004)
Rochwerger, B., et al.: The reservoir model and architecture for open federated cloud computing. IBM J. Res. Dev. 53, 11–19 (2009)
Shankar, R.: Ramco Cloud ERP Gartner Symposium. Available via DIALOG: http://www.ramco.com (2011). Accessed 25 April 2012
Wrycza, S.: Research in Systems Analysis and Design: Models and Methods. Lecture Notes in Business Information Processing, vol. 93, pp. 54–64. Springer, Berlin/Heidelberg (2011)
Sundararajan, A.: Nonlinear pricing of information goods. Manag. Sci. 50, 12 (2004)
Suciu, G.: Cloud consulting: ERP and communication application integration in open source cloud systems. Proc. TELFOR Conf. 1, 578–581 (2011)
Strong, D.M., Volkoff, O.: A roadmap for enterprise system implementation. Computer 1, 22–28 (2004)
Theilmann, W., et al.: The ERP hosting use case scenario. In: Wieder, P., et al. (eds.) Service Level Agreements for Cloud Computing, pp. 295–309. Springer, New York (2011)
Vazquez, T., et al.: Evaluation of a utility computing model based on the federation of grid infrastructures. Euro-Par 2007 Parallel Process. 1, 372–381 (2007)
Venketrama Raja, P.R.: Ramco’s cloud ERP Product, Available via DIALOG http://www.thesmartceo.in/on-a-cloud-erp.html (2011). Accessed 18 April 2012
Wang, L., Kunze, M. et al.: Cloud Computing: a perspective study. In: Grid Computing Environments Workshop (GCE’08), Austin, 16 November 2008
Wang, Z.J., Xu, X.-F.: Business process integration point classification and the priority evaluation method. Int. J. Bus. Inf. Syst. 4, 210–232 (2009)
Xu, X.: From cloud computing to cloud manufacturing. Robot. Comput. Integr. Manuf.. 28, 75–86 (February 2012)
Wan, Y., Clegg, B.: Enterprise management and ERP development: case study of Zoomlion using the dynamic enterprise reference grid. In: Proceedings of International Conference-CENTERIS, Viana do Castelo, 20–22 October 2010
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Parthasarathy, S. (2013). Potential Concerns and Common Benefits of Cloud-Based Enterprise Resource Planning (ERP). In: Mahmood, Z. (eds) Cloud Computing. Computer Communications and Networks. Springer, London. https://doi.org/10.1007/978-1-4471-5107-4_9
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DOI: https://doi.org/10.1007/978-1-4471-5107-4_9
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