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Inclusion of risk in evaluation of advanced technologies

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Abstract

Traditional economic evaluation techniques are often used to rank the technology alternatives for adoption purposes. However, the results of such evaluations are somewhat misleading since these techniques ignore the intangibles. Intangibles are factors that cannot be quantified for inclusions in the economic evaluation techniques but have great impact on the evaluation and adoption process. The current research addresses this issue by first identifying the intangible costs or risks of adopting a new technology and then developing a mechanism for their inclusion in the evaluation process. Taguchi loss functions are used as a tool for quantifying the intangible costs. The loss functions are developed based on the risks’ specification limits set by the decision maker. These loss functions are used to calculate a loss score for each technology candidate. The technology alternatives are then ranked based on their loss scores, and the technology with the lowest loss score is selected for adoption. The proposed methodology offers a powerful tool for evaluation of alternative technologies by complementing the traditional economic evaluation techniques.

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References

  1. Chan FTS, Chan MH, Tang NKH (2000) Evaluation methodologies for technology selection. J Mater Process Technol 107:330–337

    Article  Google Scholar 

  2. Georgakellos DA (2005) Technology selection from alternatives: a scoring model for screening candidates in equipment purchasing. Int J Innov Technol Manage 2(1):1–18

    Article  Google Scholar 

  3. Ordoobadi S, Mulvaney N (2001) Development of a justification tool for advanced manufacturing technologies: system-wide benefit analysis. J Eng Tech Manage 18:157–184

    Article  Google Scholar 

  4. Thomas AJ, Barton R, John EG (2008) Advanced manufacturing technology implementation: a review of benefits and a model for change. Int J Prod Perform Manage 57(2):156–176

    Google Scholar 

  5. Liang T-P, Huang C-W, Yeh Y-H, Lin B (2007) Adoption of mobile technology in business: a fit-viability model. Ind Manage Data Syst 107(8):1154–1169

    Article  Google Scholar 

  6. Christenson CM (1997) The innovator’s dilemma when new technologies cause great firm to fail. Harvard Business School, Boston

    Google Scholar 

  7. Clarke-Hill JP, Hillier D, Comfort D (2005) The benefits, challenges and impacts of RFID technology for retailers in the UK. Mark Intell Plann 23(4):395–402

    Article  Google Scholar 

  8. Ennew Ch, Fernandez-Young A (2006) Weapons of mass instruction? the rhetoric and reality of online learning. Mark Intell Plann 24(2):148–157

    Article  Google Scholar 

  9. Woodside AG (1996) Theory of rejecting superior, new technologies. J Bus Ind Mark 11(3):25–43

    Article  Google Scholar 

  10. Dey PK, Kinch J, Ogunlana SO (2007) Managing risk in software development projects: a case study. Ind Manage Data Syst 107(2):284–303

    Article  Google Scholar 

  11. Maguire S (2002) Identifying risks during information system development: managing the process. Inf Manag Comput Secur 10(3):126–134

    Google Scholar 

  12. Vehovar V, Lesjak D (2007) Characteristics and impacts of ICT investments: perceptions among managers. Ind Manage Data Syst 107(4):537–550

    Article  Google Scholar 

  13. Au AK, Enderwick P (2000) A cognitive model on attitude towards technology adoption. J Managerial Psychol 15(4):266–282

    Article  Google Scholar 

  14. Ryan SD, Harrison DA (2000) Considering social subsystem costs and benefits in information technology investment decisions: a view from the field on anticipated payoffs. J Manage Inf Syst 16(4):11–40

    Google Scholar 

  15. Hitt LM, Brynjolfsson E (1996) Productivity, business profitability, and consumer surplus: three different measures of information technology value. MIS Q 20(2):121–142

    Article  Google Scholar 

  16. Abdul-Gader AH, Kozar KA (1995) The impact of computer alienation on information technology investment decisions: an exploratory cross-national analysis. MIS Q 19(4):535–560

    Article  Google Scholar 

  17. Ordoobadi S (2007) Opportunity costs of risks in evaluation of advanced technologies. Int J Innov Technol Manage 4(3):305–321

    Article  Google Scholar 

  18. Cannon A, Reyes PM, Frazier GV, Prater E (2008) RFID in the contemporary supply chain: multiple perspectives on its benefits and risks. Int J Oper Prod Manage 28(5):433–454

    Article  Google Scholar 

  19. Love PED, Ghoneim A, Irani Z (2004) Information technology evaluation: classifying indirect costs using the structured case method. J Enterprise Inf 17(4):312–325

    Article  Google Scholar 

  20. Steward R, Mohamed S (2002) IT/IS projects selection using multi-criteria utility theory. Logist Inf Manag 15(4):254–270

    Article  Google Scholar 

  21. Barreau D (2001) The hidden costs of implementing and maintaining information systems. The Bottom Line: Managing Library Finances. MCB University 14(4): 207–212

    Google Scholar 

  22. Irani Z, Love PED (2001) The propagation of technology management taxonomies for evaluating investments in information systems. J Manage Inf Syst 17(3):161–177

    Google Scholar 

  23. Lewis WG, Pun KF, Lalla TRM (2006) Exploring soft and hard factors for TQM implementation in small and medium-sized enterprises. Int J Prod Perform Meas 55(7):539–544

    Google Scholar 

  24. Park Y, Chen J (2007) Acceptance and adoption of the innovative use of smart phone. Ind Manage Data Syst 107(9):1349–1365

    Article  Google Scholar 

  25. Han S, Mustonen P, Kallio M (2006) Physicians’ acceptance of mobile communication technology: an expletory study. Int J Mobile Commun, vol. 4, no. 2

  26. Harkke V (2006) Impacts of physicians’ usage of a mobile information system. Int J Electron Healthc 2(4):345–361

    Google Scholar 

  27. Taguchi G, Hsiang TC (1989) Quality engineering in production systems. McGraw-Hill, New York

    Google Scholar 

  28. Besterfield DH, Besterfield-Michna C, Besterfield GH, Besterfield-Sacre M (2003) Total quality management. Pearson Education, Upper Saddle River

    Google Scholar 

Download references

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Correspondence to Sharon Ordoobadi.

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Ordoobadi, S. Inclusion of risk in evaluation of advanced technologies. Int J Adv Manuf Technol 54, 413–420 (2011). https://doi.org/10.1007/s00170-010-2938-2

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  • DOI: https://doi.org/10.1007/s00170-010-2938-2

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