Abstract
Organizations have long struggled with a lack of horizontal and vertical integration and the need to achieve high degrees of coordination across the enterprise. The solution to this challenge was the emergence of Enterprise Systems (ES) and then Enterprise Resource Planning (ERP) systems, which came along with the promise of a common database and a single source of “truth” to enable management to make data-driven decisions. In this chapter, we explore the relationship between how enterprises, technology, and competitive dynamics changed over time, enabling the emergence of ERP I, ERP II, and now ERP III – three eras of the ERP movement. We also look forward at blockchain-based, cloud-based, and AI-based ERP systems and the impact that these systems will have on business processes and workflow automation for enterprises of the future.
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References
O’Leary, D.E.: Enterprise Resource Planning Systems: Systems, Life Cycle, Electronic Commerce, and Risk. Cambridge University Press, Cambridge (2000)
Davenport, T.H.: Putting the enterprise into the enterprise system. In: Harvard Business Review, pp. 121–131. Harvard Business Publishing, Boston (1998)
Morton, M.S.S. (ed.): The Corporation of the 1990s: Information Technology and Organizational Transformation. Oxford University Press, New York (1991)
Buck-Emden, R., Galimow, J.: SAP R/3 System. Addison-Wesley, Harlow (1996)
Peters, T.J., Waterman, R.H.: In Search of Excellence: Lessons from America’s Best-Run Companies. Harper & Row, New York (1982)
Kirchmer, M.: Business process oriented implementation of standard software: how to achieve competitive advantage quickly and efficiently. Springer, Berlin Heidelberg (1998)
Bendoly, E., Jacobs, F.R.: Strategic ERP Extension and Use. Stanford University Press, Stanford (2005)
Harrington, H.J.: Business Process Improvement: The Breakthrough Stragey for Total Quality, Productivity, and Competitiveness. McGraw-Hill Education, New York (1991)
Senge, P.: The Fifth Discipline: The Art and Practice of the Learning Organization. Currency Doubleday, New York (1990)
Hammer, M., Champy, J.: Reengineering the Corporation: A Manifesto for Business Revolution. Harper Business, New York (1993)
Davenport, T.H.: Process Innovation – Reengineering Work Through Information Technology. Harvard Business School Press, Boston (1993)
Hammer, M.: Beyond Reengineering: How the Process-Centered Organization is Changing Our Work and Our Lives. Harper Business, New York (1996)
Shapiro, B.P., Rangan, V.K., Sviokla, J.J.: Staple yourself to an order. In: Harvard Business Review, pp. 113–122. Harvard Business Publishing, Boston (1992)
Seybold, P.B., Marshak, R.T.: Customers.com: How to Create a Profitable Business Strategy for the Internet and beyond. Crown Business, New York (1998)
Mui, C., Downes, L.: Unleashing the Killer App: Digital Strategies for Market Dominance. Harvard Business School Press, Boston (1998)
Bradley, S.P., Nolan, R.L. (eds.): Capturing value in the network era in sense and respond. Harvard Business School Press, Boston (1998)
Keller, G., Teufel, T.: SAP R/3 process orientation implementation. Addison-Wesley, Harlow (1998)
Scheer, A.-W., et al. (eds.): Business process excellence: ARIS in practice. Springer, Berlin Heidelberg (2002)
Miranda, R.: The rise of ERP technology in the public sector. Gov. Finance Rev., 9–18 (1999)
Benchmarking Partners: ERP’s Second Wave – Maximizing the Value of ERP-Enabled Processes, Deloitte Consulting Report, ISBN 1-892383-36-5. Deloitte Consulting, LLC, Atlanta (1998)
Davenport, T.H., Harris, J.G., Cantrell, S.: The return of enterprise solutions: the director’s cut. In: Accenture Institute for Strategy Change Report. Accenture, Cambridge (2002)
Shang, S., Seddon, P.B.: A comprehensive framework for assessing and managing the benefits of enterprise systems: the business manager's perspective. In: Shanks, G., Seddon, P.B., Willcocks, L. (eds.) Second-Wave Enterprise Resource Planning Systems. Cambridge University Press, Cambridge (2003)
Tulivaye Hasheela, V., Smolander, K.: What do we know about ERP in SMEs? Identify. Gaps Res. In V. Strahonja, N. Vrček., D. Plantak Vukovac, C. Barry, M. Lang, H. Linger, & C. Schneider (Eds.), Information Systems Development: Transforming Organisations and Society through Information Systems (ISD2014 Proceedings). Croatia: Faculty of Organization and Informatics. 77–84 (2014) http://aisel.aisnet.org/isd2014/proceedings/ReshapingOrganisations/10
Watson, E.F., Holmes, K.: Business process automation: ERP, CRM, and SCM. In: Nof, S. (ed.) Springer Handbook of Automation. Springer-Verlag, Berlin Heidelberg (2009)
Bancroft, N.H., Seip, H., Sprengel, A.: Implementing SAP R/3, 2nd edn. Greenwich, Manning (1998)
Brown, E.: VF corp. changes its underware. Fortune, 115–118 (1998)
Davenport, T.H.: Mission Critical – Realizing the Promise of Enterprise Systems. Harvard Business School Press, Boston (2000)
Drucker, P.F.: Management Challenges for the 21st Century. Harper Business, New York (1999)
Nonaka, I., Takeuchi, H.: The Knowledge-Creating Company. Oxford University Press, New York (1995)
Davenport, T.H., Harris, J.G.: Competing on analytics – the new science of winning. Harvard Business School Press, Boston (2006)
Kalakota, R., Robinson, M.: e-Business 2.0: Roadmap for Success. Addison-Wesley, Boston (2001)
Christensen, C.: The Innovator's Dilemma: The Revolutionary Book that Will Change the Way You Do Business. Harper Collins, New York (2003)
Ordanini, A., Pasini, P.: Service co-production and value co-creation: the case for a service-oriented architecture (SOA). Eur. Manag. J. 26(5), 289–297 (2008)
Chaves, J.T., de Freitas, S.A.: A systematic literature review for service-oriented architecture and agile development. In: International Conference on Computational Science and Its Applications, pp. 120–135. Springer, Cham (1 July 2019)
MacLennan, E., Van Belle, J.P.: Factors affecting the organizational adoption of service-oriented architecture (SOA). IseB. 12(1), 71–100 (2014)
Niknejad, N., Ismail, W., Ghani, I., Nazari, B., Bahari, M.: Understanding Service-Oriented Architecture (SOA): a systematic literature review and directions for further investigation. Inf. Syst. 91, 101491 (2020)
Tews, R.: Beyond IT: the business value of SOA. In: AIIM e-Doc, p. 14–17 (2007)
Rochet, J.-C., Tirole, J.: Platform competition in two-sided markets. J. Eur. Econ. Assoc. 1(4), 990–1029 (2003)
Gawer, A., Cusumano, M.A.: Industry platforms and ecosystem innovation. J. Prod. Innov. Manag. 31(3), 417–433 (2014)
Thomas, L.D.W., Autio, E., Gann, D.M.: Architectural leverage: putting platforms in context. Acad. Manag. Perspect. 28(2), 198–219 (2014)
Wood, B.: ERP vs. ERP2 vs. ERP3 future enterprise applications. Available from: http://www.r3now.com/erp-vs-erp-ii-vs-erp-iii-future-enterprise-applications (2010)
Wan, Y., Clegg, B.: Managing ERP, interoperability, strategy and dynamic change in enterprises. In: POMS 22nd Annual Conference, Reno (2011)
Buyya, R., et al.: Cloud computing and emerging it platforms: vision, hype, and reality for delivering computing as the 5th utility. Futur. Gener. Comput. Syst. 25(6), 599–616 (2009)
Mell, P., Grance, T.: Effectively and securely using the cloud computing paradigm. NIST Inf. Technol. Lab. 2(8), 304–311 (2009)
Wischik, D., Handley, M., Braun, M.B.: The resource pooling principle. ACM SIGCOMM Comput. Commun. Rev. 38(5), 47–52 (2008)
Takabi, H., Joshi, J.B., Ahn, G.-J.: Security and privacy challenges in cloud computing environments. IEEE Secur. Priv. 8(6), 24–31 (2010)
Hofmann, P., Woods, D.: Cloud computing: the limits of public clouds for business applications. IEEE Internet Comput. 14(6), 90–93 (2010)
Marston, S., et al.: Cloud computing—the business perspective. Decis. Support. Syst. 51(1), 176–189 (2011)
Tapscott, D., Tapscott, A.: Blockchain Revolution: How the Technology Behind Bitcoin is Changing Money, Business, and the World. Portfolio/Penguin, New York, (2016)
Xu, X., et al.: The blockchain as a software connector. In: 13th Working IEEE/IFIP Conference on Software Architecture (WICSA 2016). Venice (2016)
Kosba, A., et al.: Hawk: the blockchain model of cryptography and privacy-preserving smart contracts. In: IACR working paper (2015)
Madanhire, I., Mbohwa, C.: Enterprise resource planning (ERP) in improving operational efficiency: case study. Procedia CIRP. 40, 225–229 (2016)
Hwang, W.: The drivers of ERP implementation and its impact on organizational capabilities and performance and customer value. Toledo T.U.o. (ed.) (2011)
Parikh, T.: The ERP of the future : Blockchain of things. Int. J. Sci. Res. Sci. Eng. Technol. 4(1), 1341–1348 (2018)
Mann, S., et al.: Blockchain technology for supply chain traceability, transparency and data provenance. In: ICBTA 2018: 2018 International Conference on Blockchain Technology and Application (2018)
Hader, M., Elmhamedi, A., Abouabdellah, A.: Blockchain integrated ERP fora Bette supply chain management. In: 2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) (2020)
Dey, L., Verma, I., Khurdiya, A., Bharadwaja, S.: A framework to integrate unstructured and structured data for enterprise analytics. In: Proceedings of the 16th International Conference on Information Fusion, Instanbul, Turkey, 9–12 July 2013. https://ieeexplore.ieee.org/abstract/document/6641249
Park, B.-K., Song, I.-Y.: Toward total business intelligence incorporating structured and unstructured data. ACM SIGMOD Record, Vol. 41, No. 3, Report of the International Workshop on Business Intelligence and the Web: BEWEB 2011, Sept 2012, pp. 51–53. https://dl.acm.org/doi/abs/10.1145/2380776.2380789 (5 Oct 2012)
Hong, N., Wen, A., Shen, F., Sohn, S., Liu, S., Liu, H.: Integrating structured and unstructured EHR data using an FHIR-based Tyge system: a case study with medication data. In: Proceedings of the AMIA Joint Summits on Translational Science, pp. 74–83, Published online 18 May 2018
Butt, F.M., Hussain, L., Mahmood, A., Lone, K.J.: Artificial intelligence based accurately load forecasting system to forecast short and medium-term load demands. Math. Biosci. Eng. 18(1), 400–425 (2021) Published 4 Dec 2020. Special Issue: Advances in Applied Computational Science. https://www.aimspress.com/article/doi/10.3934/mbe.2021022?viewType=HTML
Ghangari, A., Hadavandi, E., Abbasian-Naghneh, S.: Comparison of artificial intelligence based techniques for short term load forecasting. In: 2010 Third International Conferene on Business Intelligence and Financial Engineering, IEEE Computer Society. https://www.researchgate.net/publication/232633325_Compari son_of_Artificial_Intelligence_Based_Techniques_for_Short_ Term_Load_Forecasting (Aug 2010)
Raza, M.Q., Khosravi, A.: A review of artificial intelligence based load demand forecasting techniques for smart grid and buildings. Renew. Sust. Energ. Rev. 50, 1352–1372 (2015) https://www. sciencedirect.com/science/article/abs/pii/S1364032115003354
Drenik, G.: Improved forecasting through machine learning & artificial intelligence. Forbes. https://www.forbes.com/sites /forbesinsights/2019/06/25/improved-forecasting-through- machine-learning-artificial-intelligence/?sh=6cba912162e8 (25 June 2019)
Szabados, R.: How AI simplifies your workflow, Chanty blog, posted on 26 Dec 26, 2017. https://www.chanty.com/blog/ai-simplifies-workflow/
Perr, J.: The automated AI workflow is here … if you Know where to Look. In: Conference Proceedings of the Society of Motion Picture and Television Engineers (SMPTE), 22–25 Oct 2018, Los Angeles. https://ieeexplore.ieee.org/document/8609871
van der Aalst, W.M.P., Bichler, M., Heinzl, A.: Robotic process automation. Bus. Inf. Syst. Eng. 60, 269–272 (2018). https://doi.org/10.1007/s12599-018-0542-4
Cath, C.: Governing Artificial Intelligence: Ethical, Legal and Technical Opportunities and Challenges. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, London, United Kingdom, 376(2133), (2018). https://doi.org/10.1098/rsta.2018.0080
Tadapaneni, N.R.: Artificial intelligence security and its countermeasures. Int. J. Adv. Res. Comput. Sci. Technol. 8(1), 2792–2795 (2020)
Osoba, O.A., Welser IV, W.: An Intelligence in Our Image: The Risks of Bias and Errors in Artificial Intelligence. Santa Monica, CA, Rand Corporation (2017). https://www.rand.org/pubs/research_reports/RR1744.html
Further Reading
Aguirre, S., Rodriguez, A.: Automation of a business process using robotic process automation (RPA): a case study. In: Workshop on engineering applications (WEA), pp. 65–71. Springer (2017)
Doguc, O.: Robot process automation (RPA) and its future. In Research anthology on cross-disciplinary designs and applications of automation. Hershey, PA: IGI Global. pp. 35–58 (2020)
Hofmann, P., Samp, C., Urback, N.: Robotic process automation. Electron. Mark. 30(1), 99–106 (2020)
Mahey, H.: Robotic Process Automation with Automation Anywhere: Techniques to Fuel Business Productivity and Intelligent Automation Using RPA. Packt Publishing (2020)
Peters, T.: The Project 50 – Reinventing Work. Knopf, New York (1999)
Shin, S.: Trend of process automation and factory automation. In: 2006 SICE-ICASE International Joint Conference, pp. 157–160, https://doi.org/10.1109/SICE.2006.315392 (2006)
Taulli, T.: The Robotic Process Automation Handbook: A Guide to Implementing RPA Systems. Apress (2020)
Willcocks, L., Lacity, M., Craig, A.: Robotic process automation: strategic transformation lever for global business services? J. Inf. Technol. Teach. Cases. 7, 17–28 (2017)
Willcocks, L.P., Lacity, M., Craig, A.: The IT function and robotic process automation, London School of Economics, The Outsourcing Unit Working Research Paper Series, Paper 15/05, pp. 1–39, https://eprints.lse.ac.uk/64519/1/OUWRPS_15_05_published.pdf (Oct 2015)
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Watson III, E.F., Schwarz, A.H. (2023). Enterprise and Business Process Automation. In: Nof, S.Y. (eds) Springer Handbook of Automation. Springer Handbooks. Springer, Cham. https://doi.org/10.1007/978-3-030-96729-1_65
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