Abstract
Small and medium size enterprises (SMEs) are greatly affected by cost escalations and overruns Reliable cost factors estimation and management is a key for the success of Enterprise Resource Planning (ERP) systems adoptions in enterprises generally and SMEs specifically. This research area is still immature and needs a considerable amount of research to seek solid and realistic cost factors estimation. Majority of research in this area targets the enhancement of estimates calculated by COCOMO family models. This research is the beginning of a series of models that would try to replace COCOMO with other models that could be more adequate and focused on ERP adoptions. This paper introduces a feed-forward back propagation artificial neural network model for cost factors estimation. We comment on results, merits and limitations of the model proposed. Although the model addresses SMEs, however, it could be extended and applied in various environments and contexts.
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References
Welsh, J.A., White, J.F.: A small business is not a little big business. Harvard Business Review 59(4), 18–27 (1981)
Haddara, M., Zach, O.: ERP Systems in SMEs: A Literature Review. In: HICSS, Kauai, Hawaii, vol. 44 (2011)
Haddara, M., Päivärinta, T.: Why Benefits Realization from ERP in SMEs Doesn’t Seem to Matter? In: HICSS, vol. 44. IEEE, Kauai (2011)
Holland, C.R., Light, B.: A critical success factors model for ERP implementation. IEEE Software 16(3), 30–36 (1999)
Jones, C.: Estimating software costs Bringing realism to estimating, 2nd edn. McGraw-Hill Companies, New York (2007)
Martin, M.H.: An ERP Strategy. In: Fortune, pp. 95–97 (1998)
Haddara, M.: ERP Adoption Cost Factors in SMEs. In: European and Mediterranean Conference on Information Systems (EMCIS 2011), Athens, Greece, June 30-31 (2011)
Newman, M., Zhao, Y.: The process of enterprise resource planning implementation and business process re-engineering: tales from two chinese small and medium-sized enterprises. Information Systems Journal 18(4), 405–426 (2008)
Daneva, M.: Approaching the ERP Project Cost Estimation Problem: an Experiment. In: Proceedings of the First International Symposium on Empirical Software Engineering and Measurement. IEEE Computer Society Press, Los Alamitos (2007)
Daneva, M., Wieringa, R.: Cost estimation for cross-organizational ERP projects: research perspectives. Software Quality Journal 16(3), 459–481 (2008)
Elragal, A., Haddara, M.: The Use of Experts Panels in ERP Cost Estimation Research. In: Quintela Varajão, J.E., Cruz-Cunha, M.M., Putnik, G.D., Trigo, A. (eds.) CENTERIS 2010. CCIS, vol. 110, pp. 97–108. Springer, Heidelberg (2010)
Al-Mashari, M.: Enterprise resource planning (ERP) systems: a research agenda. Industrial Management & Data Systems 102(3), 165–170 (2002)
Daneva, M.: Complementing approaches in ERP effort estimation practice: an industrial study. In: Proceedings of the 4th International Workshop on Predictor Models in Software Engineering. ACM, New York (2008)
Abdel-Hamid, T.K., Sengupta, K., Swett, C.: The impact of goals on software project management: an experimental investigation. MIS Q 23(4), 531–555 (1999)
Buonanno, G., et al.: Factors affecting ERP system adoption: a comparative analysis between SMEs and large companies. Journal of Enterprise Information Management 18(4), 384–426 (2005)
Fui-Hoon Nah, F., Lee-Shang Lau, J., Kuang, J.: Critical Factors for Successful Implementation of Enterprise Systems. Business Process Management Journal 7(3), 285–296 (2001)
Thayer, R.H., Fairley, R.: Project Management. In: Marciniak, J. (ed.) Encyclopedia of Software Engineering, pp. 900–923. John Wiley, New York (1994)
Vogt, C.: Intractable ERP: a comprehensive analysis of failed enterprise-resource-planning projects. SIGSOFT Softw. Eng. Notes 27(2), 62–68 (2002)
Stensrud, E.: Alternative Approaches to Effort Prediction of ERP Projects. Inf. & Soft. Techn. 43(7), 413–423 (2001)
Boehm, B.: Software Cost Estimation with COCOMO II. Prentice Hall, Upper Saddle River (2000)
Jorgensen, M., Shepperd, M.: A Systematic Review of Software Development Cost Estimation Studies. IEEE Trans. Softw. Eng. 33(1), 33–53 (2007)
Daneva, M.: ERP Requirements Engineering Practice: Lessons Learnt. IEEE Software 21(2), 26–33 (2004)
Myrtveit, I., Stensrud, E.: A Controlled Experiment to Assess the Benefits of Estimating with Analogy and Regression Models. IEEE Trans. Softw. Eng. 25(4), 510–525 (1999)
Fewster, R.M., Mendes, E.: Portfolio management method for deadline planning. In: Proceedings of METRICS 2003. IEEE, Los Alamitos (2003)
Boehm, B., Sullivan, K.J.: Software economics: a roadmap. In: Proceedings of the Conference on The Future of Software Engineering. ACM, Limerick (2000)
Boehm, B.: Software Engineering Economics. In: Advances in Computing Science & Technology, Prentice Hall, Upper Saddle River (1981)
van Brocke, J., Schenk, B., Sonnenberg, C.: Classification Criteria for Governing the Implementation Process of Service-Oriented ERP Systems - An Analysis Based on New Institutional Economics. In: AMCIS, San Francisco (2009)
Lindley, J.T., Topping, S., Lindley, L.T.: The hidden financial costs of ERP software. Managerial Finance 34(2), 78–90 (2008)
Kim, G., Seo, D., Kang, K.: Hybrid models of neural networks and genetic algorithms for predicting preliminary cost estimates. Journal of Computing in Civil Engineering 19, 208 (2005)
Rush, C., Roy, R.: Analysis of cost estimating processes used within a concurrent engineering environment throughout a product life cycle. In: International Conference on Concurrent Engineering: Research and Applications, p. 58. CRC, Boca Raton (2000)
Daniel, L.S., Robert, E.M.: Toward a Model of Consolidation: The Retention and Transfer of Neural Net Task Knowledge. In: Proceedings of the INNS World Congress on Neural Networks. Lawrence Erlbaun Assosciates, Mahwah (1995)
Towell, G., Shavlik, J.W.: Interpretation of artificial neural networks: Mapping knowledge-based neural networks into rules. In: Advances in Neural Information Processing Systems (1993)
Teoh, E.J., Tan, K.C., Xiang, C.: Estimating the Number of Hidden Neurons in a Feedforward Network Using the Singular Value Decomposition. IEEE Transaction on Neural Network 17, 1623–1629 (2006)
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Kotb, M.T., Haddara, M., Kotb, Y.T. (2011). Back-Propagation Artificial Neural Network for ERP Adoption Cost Estimation. In: Cruz-Cunha, M.M., Varajão, J., Powell, P., Martinho, R. (eds) ENTERprise Information Systems. CENTERIS 2011. Communications in Computer and Information Science, vol 220. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24355-4_19
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DOI: https://doi.org/10.1007/978-3-642-24355-4_19
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