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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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    1. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    4. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    5. Huub Ru‰l & Tanya Bondarouk & Jan Kees Looise, 2004. "E-HRM: Innovation or Irritation. An Explorative Empirical Study in Five Large Companies on Web-based HRM," management revue - Socio-Economic Studies, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 15(3), pages 364-380.
    6. Huub Ru‰l & Tanya Bondarouk & Jan Kees Looise, 2004. "E-HRM: Innovation or Irritation. An Explorative Empirical Study in Five Large Companies on Web-based HRM," management revue. Socio-economic Studies, Rainer Hampp Verlag, vol. 15(3), pages 364-380.
    7. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    8. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
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    Cited by:

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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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