• DocumentCode
    1210181
  • Title

    Preemptive Learning, Competency Traps, and Information Technology Adoption: A Real Options Analysis

  • Author

    Li, Xiaotong

  • Author_Institution
    Dept. of Econ. & Inf. Syst., Univ. of Alabama, Huntsville, AL, USA
  • Volume
    56
  • Issue
    4
  • fYear
    2009
  • Firstpage
    650
  • Lastpage
    662
  • Abstract
    Many previous real options studies suggest that increase in investment uncertainties makes deferral options more valuable. We propose a new real options model where both organizational capabilities and technological learning are emphasized. Our model demonstrates that when a company is capable of reaping sufficient benefits from preemptive learning of a new information technology, it will expedite its adoption of the technology under greater uncertainty. When exogenous gains created by technology advance are independent of technological learning, they tend to have minimal impact on the company´s optimal adoption strategy. The results of our analysis also support the view that existing technology capabilities may lead to competency traps hindering a company´s technological adaptation.
  • Keywords
    information technology; investment; learning (artificial intelligence); organisational aspects; technology management; competency traps; information technology adoption; investment uncertainties; organizational capabilities; preemptive learning; real options analysis; technological adaptation; technological learning; Companies; Decision making; Enterprise resource planning; Information analysis; Information systems; Information technology; Investments; Paper technology; Stochastic processes; Uncertainty; Absorptive capacity; capital budgeting; competency traps; information technology (IT) adoption; organizational capabilities; preemptive learning; real options; stochastic optimization;
  • fLanguage
    English
  • Journal_Title
    Engineering Management, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9391
  • Type

    jour

  • DOI
    10.1109/TEM.2009.2016065
  • Filename
    4806621