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A review of technology acceptance and adoption models and theories

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  • Hamed Taherdoost

    (Hamta Group)

Abstract

Under the concept of "Industry 4.0", production processes will be pushed to be increasingly interconnected, information based on a real time basis and, necessarily, much more efficient. In this context, capacity optimization goes beyond the traditional aim of capacity maximization, contributing also for organization's profitability and value. Indeed, lean management and continuous improvement approaches suggest capacity optimization instead of maximization. The study of capacity optimization and costing models is an important research topic that deserves contributions from both the practical and theoretical perspectives. This paper presents and discusses a mathematical model for capacity management based on different costing models (ABC and TDABC). A generic model has been developed and it was used to analyze idle capacity and to design strategies towards the maximization of organization's value. The trade-off capacity maximization vs operational efficiency is highlighted and it is shown that capacity optimization might hide operational inefficiency.

Suggested Citation

  • Hamed Taherdoost, 2018. "A review of technology acceptance and adoption models and theories," Post-Print hal-03741843, HAL.
    • Handle: RePEc:hal:journl:hal-03741843
    DOI: 10.1016/j.promfg.2018.03.137
    Note: View the original document on HAL open archive server: https://hal.science/hal-03741843
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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