Determinants of the acceptance of mobile learning as an element of human capital training in organisations
•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-lea...
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Published in | Technological forecasting & social change Vol. 149; p. 119783 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York
Elsevier Inc
01.12.2019
Elsevier Science Ltd |
Subjects | |
Online Access | Get full text |
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Summary: | •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. |
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ISSN: | 0040-1625 1873-5509 |
DOI: | 10.1016/j.techfore.2019.119783 |