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Assessing Process Fit in ERP Implementation Projects: A Methodological Approach

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Designing the Digital Transformation (DESRIST 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10243))

Abstract

To remain competitive, SMEs rely on technologies that automate support for their operations. Although an increasing number of SMEs use ERP systems, one of the major challenges is the selection of a software that fully meets their business needs. ERP systems generally come as standardized software packages. They are designed to fit generic rather than enterprise-specific requirements. Thus, mutual alignments of business and IT are essential to ensure an implementation project’s success. However, many organizational change efforts involving the introduction of new technologies fail due to the workforce’s resistance towards changes in their workflows, business processes, and technology they use. These so-called technochange situations require appropriate solutions that are complete and implementable. Thus, changes to business and IT must be complementary and organization-enterprise system misfits must be minimized. Following the paradigm of design science research, this contribution addresses technochange in ERP projects by assessing the organization-enterprise system fit during ERP selection. Applying a process fit perspective, organizational process models can be compared to ERP reference models using measures of business process similarity. In an experiment, we illustrate how ERP systems can be distinguished and ranked by their process features, positively influencing organizational fit and the likelihood of an ERP project’s success.

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Notes

  1. 1.

    http://www.sap.com/germany/product/enterprise-management/business-bydesign.html, https://www.microsoft.com/de-de/dynamics365/nav-overview

References

  1. Hooshang, M.B., Bruce, K.B., Dale, A.H., James, G.L.: Selection and critical success factors in successful ERP implementation. Compet. Rev. 24, 357–375 (2014)

    Google Scholar 

  2. Strong, D., Volkoff, O.: Understanding organization-enterprise system fit: a path to theorizing the information technology artifact. MIS Q. 34, 731–756 (2010)

    Google Scholar 

  3. Ali, M., Cullinane, J.: A study to evaluate the effectiveness of simulation based decision support system in ERP implementation in SMEs. Procedia Technol. 16, 542–552 (2014)

    Article  Google Scholar 

  4. Markus, M.L.: Technochange management: using IT to drive organizational change. J. Inf. Technol. 19, 4–20 (2004)

    Article  Google Scholar 

  5. Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S.: A design science research methodology for information systems research. J. Manag. Inf. Syst. 24, 45–78 (2007)

    Article  Google Scholar 

  6. Baskerville, R., Pries-Heje, J., Venable, J.: Soft design science methodology. In: Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology - DESRIST 2009, p. 9 (2009)

    Google Scholar 

  7. Gregor, S., Hevner, A.R.: Positioning and presenting types of knowledge in design science research. MIS Q. 37, 337–355 (2013)

    Google Scholar 

  8. Finney, S., Corbett, M.: ERP implementation: a compilation and analysis of critical success factors. Bus. Process Manag. J. 13, 329–347 (2007)

    Article  Google Scholar 

  9. Pérez-Salazar, M.D.R., Rivera, I., Cristóbal-Vázquez, I.M.A.: ERP selection: a literature review. Int. J. Ind. Syst. Eng. 13, 309–324 (2013)

    Google Scholar 

  10. Scheer, A., Habermann, F.: Enterprise resource planning: making ERP a success. Commun. ACM 43, 57–61 (2000)

    Article  Google Scholar 

  11. Stefanou, C.: The selection process of enterprise resource planning (ERP) systems. In: AMCIS 2000 Proceedings, pp. 988–991 (2000)

    Google Scholar 

  12. Avison, D.E., Fitzgerald, G.: Information Systems Development: Methodologies. Techniques and Tools. McGraw Hill, London (1995)

    Google Scholar 

  13. Verville, J., Halingten, A.: A six-stage model of the buying process for ERP software. Ind. Mark. Manag. 32, 585–594 (2003)

    Article  Google Scholar 

  14. Wei, C.C., Chien, C.F., Wang, M.J.J.: An AHP-based approach to ERP system selection. Int. J. Prod. Econ. 96, 47–62 (2005)

    Article  Google Scholar 

  15. Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27, 425–478 (2003)

    Google Scholar 

  16. Yan, Z., Dijkman, R., Grefen, P.: Fast business process similarity search with feature-based similarity estimation. In: Meersman, R., Dillon, T., Herrero, P. (eds.) OTM 2010. LNCS, vol. 6426, pp. 60–77. Springer, Heidelberg (2010). doi:10.1007/978-3-642-16934-2_8

    Chapter  Google Scholar 

  17. Martens, A., Fettke, P., Loos, P.: A genetic algorithm for the inductive derivation of reference models using minimal graph-edit distance applied to real-world business process data. In: Tagungsband Multikonferenz Wirtschaftsinformatik, Paderborn (2014)

    Google Scholar 

  18. Dijkman, R., Dumas, M., Van Dongen, B., Krik, R., Mendling, J.: Similarity of business process models: metrics and evaluation. Inf. Syst. 36, 498–516 (2011)

    Article  Google Scholar 

  19. Li, C., Reichert, M., Wombacher, A.: On measuring process model similarity based on high-level change operations. In: Li, Q., Spaccapietra, S., Yu, E., Olivé, A. (eds.) ER 2008. LNCS, vol. 5231, pp. 248–264. Springer, Heidelberg (2008). doi:10.1007/978-3-540-87877-3_19

    Chapter  Google Scholar 

  20. Dijkman, R., Dumas, M., García-Bañuelos, L.: Graph matching algorithms for business process model similarity search. In: Dayal, U., Eder, J., Koehler, J., Reijers, Hajo A. (eds.) BPM 2009. LNCS, vol. 5701, pp. 48–63. Springer, Heidelberg (2009). doi:10.1007/978-3-642-03848-8_5

    Chapter  Google Scholar 

  21. Thomas, O., Fellmann, M.: Semantische ereignisgesteuerte prozessketten. In: Data Warehous, pp. 205–224 (2006)

    Google Scholar 

  22. Hoffmann, W., Kirsch, J., Scheer, A.-W.: Modellierung mit ereignisgesteuerten Prozeßketten (1993)

    Google Scholar 

  23. Gerth, C., Luckey, M., Küster, J.M., Engels, G.: Detection of semantically equivalent fragments for business process model change management. In: Proceedings - 2010 IEEE 7th International Conference on Services Computing, SCC 2010, pp. 57–64 (2010)

    Google Scholar 

  24. Ehrig, M., Koschmider, A., Oberweis, A.: Measuring similarity between semantic business process models. In: Proceeding APCCM 2007 Proceedings of the fourth Asia-Pacific Conference on Comceptual Modelling, vol. 67, pp. 71–80 (2007)

    Google Scholar 

  25. Martens, A., Fettke, P., Loos, P.: Inductive development of reference process models based on factor analysis. In: Proceedings of the 12th International Conference on Wirtschaftsinformatik, pp. 438–452, Osnabrück (2015)

    Google Scholar 

  26. La Rosa, M., Dumas, M., Uba, R., Dijkman, R.: Merging business process models. In: Meersman, R., Dillon, T., Herrero, P. (eds.) OTM 2010. LNCS, vol. 6426, pp. 96–113. Springer, Heidelberg (2010). doi:10.1007/978-3-642-16934-2_10

    Chapter  Google Scholar 

  27. Eppler, M.J.: A process-based classification of knowledge maps and application examples. Knowl. Process Manag. 15, 59–71 (2008)

    Article  Google Scholar 

  28. Awad, A.: BPMN-Q: a language to query business processes. In: EMISA, vol. 119 (2007)

    Google Scholar 

  29. Weston, F.C.: ERP implementation and project management. Prod. Inventory Manag. J. 42, 75–80 (2001)

    Google Scholar 

  30. Gronau, N.: Handbuch der ERP-Auswahl. GTO mbH Verlag, Berlin (2012)

    Google Scholar 

  31. Buonanno, G., Faverio, P., Pigni, F., Ravarini, A., Sciuto, D., Tagliavini, M.: Factors affecting ERP system adoption: a comparative analysis between SMEs and large companies. J. Enterp. Inf. Manag. 18, 384–426 (2005)

    Article  Google Scholar 

  32. Chen, I.J.: Planning for ERP systems: analysis and future trend. Bus. Process Manag. J. 7, 374–386 (2001)

    Article  Google Scholar 

  33. Light, B.: The maintenance implications of the customization of ERP software. J. Softw. Maint. Evol. Res. Pract. 13, 415–429 (2001)

    Article  MATH  Google Scholar 

  34. Sumner, M.: Critical success factors in enterprise wide information management systems projects. In: Proceedings of the 1999 ACM SIGCPR Conference on Computer Personnel Research, pp. 297–303. ACM Press, New York (1999)

    Google Scholar 

  35. Scheer, A.-W., Thomas, O., Adam, O.: Process modeling using event-driven process chains. In: Process-Aware Information Systems, pp. 119–145. Wiley, Hoboken (2005)

    Google Scholar 

  36. Becker, J., Kugeler, M., Rosemann, M.: Prozessmanagement. Springer, Heidelberg (2012)

    Book  Google Scholar 

  37. Rosemann, M., van der Aalst, W.M.P.: A configurable reference modelling language. Inf. Syst. 32, 1–23 (2007)

    Article  Google Scholar 

  38. van Dongen, B., Dijkman, R., Mendling, J.: Measuring similarity between business process models. In: Bubenko, J., Krogstie, J., Pastor, O., Pernici, B., Rolland, C., Sølvberg, A. (eds.) Seminal Contributions to Information Systems Engineering, pp. 405–419. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  39. Levenshtein, V.I.: Binary codes capable of correcting deletions, insertions, and reversals. Sov. Phys. Dokl. 10, 707–710 (1966)

    MathSciNet  MATH  Google Scholar 

  40. Ehrig, M.: Measuring similarity between semantic business process models (2007)

    Google Scholar 

  41. Hamp, B., Feldweg, H.: GermaNet - a lexical semantic net for German. In: Proceedings of ACL, pp. 9–15 (1997)

    Google Scholar 

  42. Porter, M.F.: An algorithm for suffix stripping. Progr. Electron. Libr. Inf. Syst. 14, 130–137 (1980)

    Google Scholar 

  43. Becker, J., Schütte, R.: Handelsinformationssysteme. Redline Wirtschaft, Frankfurt am Main (2004)

    Google Scholar 

  44. Jung, J.J.: Semantic business process integration based on ontology alignment. Expert Syst. Appl. 36, 11013–11020 (2009)

    Article  Google Scholar 

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Fischer, M., Heim, D., Janiesch, C., Winkelmann, A. (2017). Assessing Process Fit in ERP Implementation Projects: A Methodological Approach. In: Maedche, A., vom Brocke, J., Hevner, A. (eds) Designing the Digital Transformation. DESRIST 2017. Lecture Notes in Computer Science(), vol 10243. Springer, Cham. https://doi.org/10.1007/978-3-319-59144-5_1

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  • DOI: https://doi.org/10.1007/978-3-319-59144-5_1

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