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The Use of Experts Panels in ERP Cost Estimation Research

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ENTERprise Information Systems (CENTERIS 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 110))

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Abstract

This paper is an effort towards illustrating the use of expert panel (EP) as a mean of eliciting knowledge from a group of enterprise resource planning (ERP) experts as an exploratory research. The development of a cost estimation model (CEM) for ERP adoptions is very crucial for research and practice, and that was the main reason behind the willingness of experts to participate in this research. The use of EP was very beneficial as it involved various data collection and visualisation techniques, as well as data validation and confirmation. Beside its advantages, one of the main motives for using a group technique is that it is difficult to find a representative sample for a casual survey method, as ERP experts and consultants are rare to find, especially in the scope of SMEs’ ERP implementations. It is worth noting that the panel reached consensus regarding the results of the EP. The experts modified and enhanced the initial cost drivers (CD) list largely, as they added, modified, merged and split different costs drivers. In addition, the experts added CF (sub-factors) that could influence or affect each cost driver. Moreover, they ranked the CD according to their weight on total costs. All of this helped the authors to better understand relationships among various CF.

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References

  1. Al-Mashari, M.: Enterprise resource planning (ERP) systems: a research agenda. Industrial Management & Data Systems 102(3), 165–170 (2002)

    Article  Google Scholar 

  2. Brancheau, J.C., Wetherbe, J.C.: Key Issues in Information Systems Management. MIS Quarterly 11(1), 23–45 (1987)

    Article  Google Scholar 

  3. Cavaye, A.L.M.: Case study research: a multi-faceted research approach for IS. Information Systems Journal 6(3), 227–242 (1996)

    Article  Google Scholar 

  4. Delbecq, A., Van de Ven, A., Gustafson, D.: Group techniques for programme planning: a guide to nominal group and Delphi processes. Scott, Foresman & Company, Glenview (1975)

    Google Scholar 

  5. Dick, B.: Delphi face to face (2000), http://www.scu.edu.au/schools/gcm/ar/arp/delphi.html (retrieved December 4, 2009)

  6. Eden, C., Ackermann, F.: Cognitive mapping expert views for policy analysis in the public sector. European Journal of Operational Research 152(3), 615–630 (2004)

    Article  MATH  Google Scholar 

  7. Eikebrokk, T.R., Iden, J., Olsen, D.H., Opdahl, A.L.: Validating the Process-Modelling Practice Model. EMISA 3(2), 3–17 (2008)

    Google Scholar 

  8. Eisenhardt, K.M.: Building theories from case study research. Academy of Management Review (AMR) 14(4), 532–550 (1989)

    Google Scholar 

  9. Frankfort-Nachmais, C., Nachmais, D.: Research methods in the Social Science, 7th edn. Worth Publishers, New York (2008)

    Google Scholar 

  10. Gibbs, A.: Focus groups. Social Research Update, Department of Sociology, vol. 19 (1997), www.soc.surrey.ac.uk/sru/sru19.html

  11. Hines, T.: A Evaluation of Two Qualitative Methods (Focus Group Interviews and Cognitive Maps) for Conducting Research into Entrepreneurial Decision Making. International Journal of Qualitative Market Research 3(1), 7–16 (2000)

    Article  MathSciNet  Google Scholar 

  12. Holland, C.R., Light, B.: A critical success factors model for ERP implementation. IEEE Software 16(3), 30–36 (1999)

    Article  Google Scholar 

  13. Jones, C.: Estimating software costs Bringing realism to estimating, 2nd edn. McGraw-Hill Companies, New York (2007)

    Google Scholar 

  14. Kitzinger, J.: Qualitative Research: Introducing focus groups. BMJ 311(7000), 299–302 (1995)

    Article  Google Scholar 

  15. Kreuger, R.: Focus groups: a practical guide for applied research. Sage, London (1988)

    Google Scholar 

  16. Linstone, H., Turoff, M.: The Delphi Method: Techniques and Applications. Addison-Wesley, London (1975)

    MATH  Google Scholar 

  17. Martin, M.H.: An ERP Strategy. Fortune, pp. 95–97 (February 2, 1998)

    Google Scholar 

  18. Moon, Y.: Enterprise Resource Planning (ERP): A review of the literature. International Journal of Management and Enterprise Development 4(3), 200 (2007)

    Article  Google Scholar 

  19. Myers, M.D., Newman, M.: The qualitative interview in IS research: Examining the craft. Inf. Organ. 17(1), 2–26 (2007)

    Article  Google Scholar 

  20. Nevo, D., Chan, Y.E.: A Delphi study of knowledge management systems: Scope and requirements. Information & Management 44(6), 583–597 (2007)

    Article  Google Scholar 

  21. 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)

    Article  Google Scholar 

  22. Osborn, A.F.: Applied Imagination, revised ed. Scribners, New York (1957)

    Google Scholar 

  23. Parnes, J., Meadow, A.: Effects of Brain-Storming Instruction on Creative Problem-Solving by Trained and Untrained Subjects. Journal of Educational Psychology 50 (1959)

    Google Scholar 

  24. Powell, R., Single, H.: Focus groups. International Journal of Quality in Health Care 8(5), 499–504 (1996)

    Article  Google Scholar 

  25. Roth, R.M., William, C., Wood, I.: A Delphi approach to acquiring knowledge from single and multiple experts. Paper Presented at the Proceedings of the 1990 ACM SIGBDP Conference on Trends and Directions in Expert Systems (1990)

    Google Scholar 

  26. Rubin, H.J., Rubin, I.S.: Qualitative interviewing: The art of hearing data, 2nd edn. Sage, Thousand Oaks (2005)

    Book  Google Scholar 

  27. Schmidt, R.C.: Managing Delphi Surveys Using Nonparametric Statistical Techniques. Decision Sciences 28(3), 763–774 (1997)

    Article  Google Scholar 

  28. Van de Ven, A., Delbeco, A.: Nominal versus Interacting Group Processes for Committee Decision-Making Effectiveness. The Academy of Management Journal 14(2), 203–212 (1971)

    Article  Google Scholar 

  29. Van de Ven, A., Delbecq, A.: The Effectiveness of Nominal, Delphi, and Interacting Group Decision Making Processes. The Academy of Management Journal 17(4), 605–621 (1974)

    Article  Google Scholar 

  30. Watts, M., Ebbutt, D.: More than the sum of the parts: research methods in group interviewing. British Educational Research Journal 13, 25–34 (1987)

    Article  Google Scholar 

  31. Willis, C.L., Miertschin, S.L.: Mind maps as active learning tool. J. Comput. Small Coll. 21(4), 266–272 (2006)

    Google Scholar 

  32. Yin, R.K.: Case study research: Design and methods, 3rd edn., vol. 5. Sage, Thousand Oaks (2003)

    Google Scholar 

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Elragal, A., Haddara, M. (2010). The Use of Experts Panels in ERP Cost Estimation Research. In: Quintela VarajĂŁo, J.E., Cruz-Cunha, M.M., Putnik, G.D., Trigo, A. (eds) ENTERprise Information Systems. CENTERIS 2010. Communications in Computer and Information Science, vol 110. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16419-4_10

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  • DOI: https://doi.org/10.1007/978-3-642-16419-4_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16418-7

  • Online ISBN: 978-3-642-16419-4

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