Hybrid decision model for information project selection
- 429 Downloads
- 3 Citations
Abstract
Information project selection is an important and recurring activity in many organizations. Establishing a systematic project selection model thus is important for organizations. However, information system project selection is made difficult by the need to consider numerous quantitative and qualitative factors, such as business goals, benefits, project risks and limitations in available resources. This study proposes a hybrid measurement model for evaluating the overall effects of information projects. The selection model generates critical, quantitative and qualitative indicators to help managers realize the advantages/disadvantages of operational conditions. This hybrid selection model not only accelerates project evaluation and selection, but also helps organizations optimize project selection and thus achieve sustainable development.
Keywords
Information system Selection model Hybrid analysisPreview
Unable to display preview. Download preview PDF.
References
- Archer N.P., Ghasemzadeh F.: An integrated framework for project portofolio selection. Int. J. Proj Manag. 17(4), 207–216 (1999)CrossRefGoogle Scholar
- Asosheh A., Nalchigar S., Jamporazmey M.: Information technology project evaluation: an integrated data envelopment analysis and balanced scorecard approach. Expert Syst. Appl. 37(8), 5931–5938 (2010)CrossRefGoogle Scholar
- Cao Q., Wang Q.: Optimizing vendor selection in a two-stage outsourcing process. Comput. Oper. Res. 34, 3757–3768 (2007)CrossRefGoogle Scholar
- Chen T.C.: Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets Syst. 114(1), 1–9 (2000)CrossRefGoogle Scholar
- Chen C.T., Cheng H.L.: A comprehensive model for selecting information system project under fuzzy environment. Int. J. Proj Manag. 27(4), 389–399 (2009)CrossRefGoogle Scholar
- Chen K., Gorla N.: Information system project selection using fuzzy logic. IEEE Trans. Syst. Man Cybern Part A 28(6), 849–855 (1998)CrossRefGoogle Scholar
- Chen C.C., Yeh T.M., Yang C.C.: Customer-focused rating system of supplier quality performance. J. Manuf. Technol. Manag. 15, 599–606 (2004)CrossRefGoogle Scholar
- Chen C.T., Lin C.T., Huang S.F.: A fuzzy approach for supplier evaluation and selection in supply chain management. Int. J. Prod. Econ. 102, 289–301 (2006)CrossRefGoogle Scholar
- Dodangeh, J., Mojahed, M., Yusuff, R.B.M.: Best project selection by using of Group TOPSIS method. 2009 International Association of Computer Science and Information Technology—Spring Conference, IACSIT-SC 2009, 50–53 (2009)Google Scholar
- Forker L.B.: Factors affecting supplier quality performance. J. Oper. Manag. 15, 243–269 (1997)CrossRefGoogle Scholar
- Ghasemzadeh F., Archer N.P.: Project portfolio selection through decision support. Decis. Support Syst. 29, 73–88 (2000)CrossRefGoogle Scholar
- Gorla N., Lin S.C.: Determinants of software quality: a survey of information systems project managers. Inf. Softw. Technol. 52(6), 602–610 (2010)CrossRefGoogle Scholar
- Houshyar A., Lyth D.: A systematic supplier selection procedure. Comput Ind. Eng. 23, 173–176 (1992)CrossRefGoogle Scholar
- Humphreys P., McIvor R., Chan F.: Using cased-based reasoning to evaluate supplier environmental management performance. Expert Syst. Appl. 25, 141–153 (2003)CrossRefGoogle Scholar
- Jain V., Tiwari M.K., Chan F.T.S.: Evaluation of the supplier performance using an evolutionary fuzzy-based approach. J. Manuf. Technol. Manag. 15, 735–744 (2004)CrossRefGoogle Scholar
- Lee J.W., Kim S.H.: Integrated approach for interdependent information system project selection. Int. J. Proj. Manag. 19(2), 111–118 (2001)CrossRefGoogle Scholar
- Li W.L., Humphreys P., Chan L.Y., Kumaraswamy M.: Predicting purchasing performance: the role of supplier development programs. J. Mater. Process. Technol. 138, 243–249 (2003)CrossRefGoogle Scholar
- Liang C., Li Q.: Enterprise information system project selection with regard to BOCR. Int. J. Proj. Manag. 26(8), 810–820 (2008)CrossRefGoogle Scholar
- Nalchigar, S., Nasserzadeh, S.M.R.: Application of DEA for selecting most efficient information system project with imprecise data. IEEM 2009—IEEE International conference on industrial engineering and engineering management, 1653–1657 (2009)Google Scholar
- Ohdar R., Ray P.K.: Performance measurement and evaluation of suppliers in supply chain: an evolutionary fuzzy-based approach. J. Manuf. Technol. Manag. 15, 723–734 (2004)CrossRefGoogle Scholar
- Pi W.N., Low C.: Supplier evaluation and selection via Taguchi loss functions and an AHP. Int. J. Adv. Manuf. Technol. 27, 625–630 (2006)CrossRefGoogle Scholar
- Santhanam R., Kyparisis G.J.: Decision model for interdependent information system project selection. Eur. J. Oper. Res. 89(2), 380–399 (1996)CrossRefGoogle Scholar
- Sucky E.A.: Model for dynamic strategic vendor selection. Comput. Oper. Res. 34, 3638–3651 (2007)CrossRefGoogle Scholar
- Sun Y.H., Ma J., Fan Z.P., Wang J.: A group decision support approach to evaluate experts for R&D project selection. IEEE Trans. Eng. Manag. 55(1), 158–170 (2008)CrossRefGoogle Scholar
- Wadhwa V., Ravindran R.: Vendor selection in outsourcing. Comput. Oper. Res. 34(3), 3725–3737 (2007)CrossRefGoogle Scholar
- Wei C.C., Liang G.S., Wang M.J.J.: A comprehensive supply chain management project selection framework under fuzzy environment. Int. J. Proj. Manag. 25(6), 627–636 (2007)CrossRefGoogle Scholar
- Yang C.L., Chuang S.P., Huang R.H.: Manufacturing evaluation system based on AHP/ANP approach for wafer fabricating industry. Expert Syst. Appl. 36(8), 11369–11377 (2009)CrossRefGoogle Scholar
- Yeh C.H., Deng H., Wibowo S.: Fuzzy multicriteria decision support for information systems project selection. Int. J. Fuzzy Syst. 12(2), 170–179 (2010)Google Scholar