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Multidimensional Effort Prediction for ERP System Implementation

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4278))

Abstract

The Ph.D. thesis builds upon the state-of-the-art in effort prediction for ERP-implementation projects. While current approaches use the complexity of the technical system as only indicator for estimation, a multidimensional key ratio scorecard is developed to enhance the quality of effort prediction. Key ratios from the technical dimension are extended towards service-oriented architectures as the upcoming, dominating architectural ERP concept. Within the organizational dimension, competencies of the project team are evaluated and quantified as key ratios. Key ratios from the situational dimension are used for approximating the expected degree of employee cooperation. As fuzzy key ratios cannot be manually derived from business requirements, an IT-based tool is designed, prototypically realized and empirically evaluated in order to be used for retrieval of defined key ratios in the scorecard.

An erratum to this chapter can be found at http://dx.doi.org/10.1007/11915072_109.

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References

  1. Fenton, N.E., Pfleeger, S.L.: Software Metrics: A Rigorous and Practical Approach. PWS Publishing, Boston (1998)

    Google Scholar 

  2. Shepperd, M., Schofield, C., Kitchenham, B.: Effort Estimation using Analogy. In: Proceedings of the 18th International Conference on Software Engineering, pp. 170–178 (1996)

    Google Scholar 

  3. Stensrud, E.: Alternative Approaches to Effort Prediction of ERP Projects. Information and Software Technology 43, 413–423 (2001)

    Article  Google Scholar 

  4. Stensrud, E., Myrtveit, I.: Identifying High-Performance ERP-Projects. IEEE Transactions on Software Engineering 29, 398–416 (2003)

    Article  Google Scholar 

  5. Walkerden, F., Jeffery, R.: An Empiricial Study of Analogy-Based Software Effort Estimation. Empirical Software Engineering 4, 135–158 (1999)

    Article  Google Scholar 

  6. Loos, P.: Advanced Information Technology Application in ERP Systems. In: Proceedings of the 6th Americas Conference on Information Systems, pp. 635–640 (2000)

    Google Scholar 

  7. Diamantopoulos, A., Siguaw, J.A.: Formative vs. Reflective Indicators in Measure Development: Does the choice of Indicators Matter?, Cornell University Working Paper Series 05-21-02 (2002)

    Google Scholar 

  8. Francalanci, C.: Predicting the Implentation Effort of ERP Projects: Empirical Evidence on SAP R/3. Journal of Information Technology 16, 33–49 (2001)

    Article  Google Scholar 

  9. Parr, A., Shanks, G.: A Model of ERP Project Implementation. Journal of Information Technology 15, 289–303 (2000)

    Article  Google Scholar 

  10. Bradley, J.: Are All Critical Success Factors in ERP Implementation Created Equal? In: Proceedings of the 11th Americas Conf. on Information Systems 2005, pp. 2152–2160 (2005)

    Google Scholar 

  11. Somers, T.M., Nelson, K.: The Impact of Critical Success Factors across the Stages of Enterprise Resource Planning Implementations. In: Proceedings of the 34th Hawaii International Conference on System Sciences, vol. 8, pp. 8016–8027 (2001)

    Google Scholar 

  12. Zhang, L., Lee, M.K.O., Zhang, Z., Banerjee, P.: Critical Success Factors of Enterprise Resource Planning Systems Implementation Success in China. In: Proceedings of the 36th Hawaii International Conference on System Science, pp. 10–21 (2002)

    Google Scholar 

  13. Holland, C.P., Light, B.: A Critical Success Factors Model for ERP Implementation. IEEE Software 16, 30–36 (1999)

    Article  Google Scholar 

  14. Scheer, A.-W., Habermann, F.: Making ERP a Success. Co. of the ACM 43, 57–62 (2000)

    Article  Google Scholar 

  15. Erl, T.: Service-Oriented Architectures: A Field Guide to Integrating XML and Web-Services. Pearson Education, Upper Saddle River (2004)

    Google Scholar 

  16. Krafzig, D., Banke, K., Slama, D.: Enterprise SOA: Service-Oriented Architecture Best Practice. Prentice Hall Education, Upper Saddle River (2004)

    Google Scholar 

  17. Bandura, A.: Social Cognitive Theory: An Agentive Perspective. Annual Review of Psychology 52, 1–27 (2001)

    Article  Google Scholar 

  18. Bandura, A.: Social Foundations of Thought and Action. Prentice Hall, Englewood Cliffs (1986)

    Google Scholar 

  19. Amberg, M., Hirschmeier, M., Schobert, D.: DART - An Acceptance Model for the Analysis and Design of Innovative Technologies. In: Proceedings of the Seventh Conference on Synergetics, Cybernetics and Informatics (2003)

    Google Scholar 

  20. Mullany, M.: Using cognitive style measurements to forecast user resistance. In: Proceedings of the 14th Annual Conference of the NACCQ, pp. 95–100 (2001)

    Google Scholar 

  21. Zhou, L., Burgoon, J.K., Nunamaker, J.F., Twitchell, D.: Automatic Linguistics-based Cues for Detecting Deception in Text-based Asynchronous Computer-mediated Communication. Group Decision and Negotiation 13, 81–107 (2004)

    Article  Google Scholar 

  22. McGrath, G.M., Dampney, C.N.G., More, E.: MP/L1: An Automated Model of Organisational Power and its Application as a Conflict Prediction Aid in Information Systems Strategy Implementation. In: Proceedings of the 11th Conference on Artificial Intelligence for Applications, pp. 56–65 (1995)

    Google Scholar 

  23. Viney, L.: The Assessment of Psychological States through Content Analysis of Verbal Communications. Psychological Bulletin 94, 542–564 (1983)

    Article  Google Scholar 

  24. Davis, F.D.: A Technology Acceptance Model for Empirically Testing New End-User Information Systems. MIT Dissertationsreihe, Cambridge (1986)

    Google Scholar 

  25. Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User Acceptance of Information Technology: Towards a Unified View. MIS Quarterly 27, 425–479 (2003)

    Google Scholar 

  26. Scheer, A.-W.: Business Process Engineering: Reference Models for Industrial Enterprises. Springer, Berlin (1994)

    Google Scholar 

  27. Lauer, T., Rajagopalan, B.: Examining the Relationship between Acceptance and Resistance in System Implementation. In: Proceedings of the Eighths Americas Conference on Information Systems 2002, pp. 1297–1304 (2002)

    Google Scholar 

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Hansen, T. (2006). Multidimensional Effort Prediction for ERP System Implementation. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops. OTM 2006. Lecture Notes in Computer Science, vol 4278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11915072_44

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  • DOI: https://doi.org/10.1007/11915072_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-48273-4

  • Online ISBN: 978-3-540-48276-5

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