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Determinants of the acceptance of mobile learning as an element of human capital training in organisations

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  • García, Marta Vidal
  • Blasco López, María Francisca
  • Sastre Castillo, Miguel Ángel

Abstract

•BI to use m-learning is determined by SN, REL, RES, SE, ANX, PLAY, ENJ, PU and PEOU.•The greater the experience with technology, the weaker is the relationship between PEOU and BI.•Our model explains 51.2% of the variance in BI, 47.3% of the variance in PEOU and 53.4% of the variance in PU of m-learning.•PU is a more important factor than PEOU in determining the use of a system.•One of the most critical success factors when implementing new systems is the organisational support provided by managers.

Suggested Citation

  • García, Marta Vidal & Blasco López, María Francisca & Sastre Castillo, Miguel Ángel, 2019. "Determinants of the acceptance of mobile learning as an element of human capital training in organisations," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    • Handle: RePEc:eee:tefoso:v:149:y:2019:i:c:s0040162519310972
    DOI: 10.1016/j.techfore.2019.119783
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    References listed on IDEAS

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    Cited by:

    1. Szopiński, Tomasz & Bachnik, Katarzyna, 2022. "Student evaluation of online learning during the COVID-19 pandemic," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
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    3. Balci, Gökcay, 2021. "Digitalization in container shipping: Do perception and satisfaction regarding digital products in a non-technology industry affect overall customer loyalty?," Technological Forecasting and Social Change, Elsevier, vol. 172(C).

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