TY - GEN
T1 - Mobile Learning Adoption at a Science Museum
AU - Welch, Ruel
AU - Alade, Temitope
AU - Nichol, Lynn
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - Funding cuts by the Department for Culture, Media and Sport (DCMS) in the UK has led to Service Level Agreement (SLA) breaches. This is due to an overstretched service desk team. To mitigate this problem, this paper investigates serving just-in-time knowledge in the form of knowledge base articles to service users via mobile learning. Mobile learning (mLearning) could reduce ICT support calls, increase productivity for both service desk staff and the service user. Moreover, it presents an opportunity to develop useful technical knowledge among non-ICT staff. However, challenges are pervasive in any technological adoption. This paper uses the unified theory of acceptance and use of technology (UTAUT) model to explain the determinants of mLearning adoption at a Science Museum (SM). Results indicate that the UTAUT constructs including performance expectancy, effort expectancy, social influence and facilitating conditions are all significant determinants of behavioural intention to use mLearning. A newly proposed construct, self-directed learning was not a significant determinant of behaviour intentions. Further examination found age and gender moderate the relationship between the UTAUT constructs. These findings present several useful implications for mLearning research and practice for ICT service desk at the SM. The research contributes to mLearning technology adoption and strategy.
AB - Funding cuts by the Department for Culture, Media and Sport (DCMS) in the UK has led to Service Level Agreement (SLA) breaches. This is due to an overstretched service desk team. To mitigate this problem, this paper investigates serving just-in-time knowledge in the form of knowledge base articles to service users via mobile learning. Mobile learning (mLearning) could reduce ICT support calls, increase productivity for both service desk staff and the service user. Moreover, it presents an opportunity to develop useful technical knowledge among non-ICT staff. However, challenges are pervasive in any technological adoption. This paper uses the unified theory of acceptance and use of technology (UTAUT) model to explain the determinants of mLearning adoption at a Science Museum (SM). Results indicate that the UTAUT constructs including performance expectancy, effort expectancy, social influence and facilitating conditions are all significant determinants of behavioural intention to use mLearning. A newly proposed construct, self-directed learning was not a significant determinant of behaviour intentions. Further examination found age and gender moderate the relationship between the UTAUT constructs. These findings present several useful implications for mLearning research and practice for ICT service desk at the SM. The research contributes to mLearning technology adoption and strategy.
KW - ICT service desk
KW - Mobile learning
KW - Technological adoption
KW - Technology enhanced learning
KW - Workplace learning
UR - http://www.scopus.com/inward/record.url?scp=85088507831&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-52249-0_49
DO - 10.1007/978-3-030-52249-0_49
M3 - Conference contribution
AN - SCOPUS:85088507831
SN - 9783030522483
T3 - Advances in Intelligent Systems and Computing
SP - 726
EP - 745
BT - Intelligent Computing - Proceedings of the 2020 Computing Conference
A2 - Arai, Kohei
A2 - Kapoor, Supriya
A2 - Bhatia, Rahul
PB - Springer-ESL
T2 - Science and Information Conference, SAI 2020
Y2 - 16 July 2020 through 17 July 2020
ER -