Title |
The relationship between work engagement of different generations and mobile learning / |
Authors |
Statnickė, Gita ; Savanevičienė, Asta ; Šakys, Ignas |
DOI |
10.11118/actaun201967061627 |
Full Text |
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Is Part of |
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis.. Brno : Mendel University Press. 2019, vol. 67, iss. 6, p. 1627-1642.. ISSN 1211-8516. eISSN 2464-8310 |
Keywords [eng] |
work engagement ; generation ; different generations ; mobile learning |
Abstract [eng] |
As regards work engagement, different generations are affected by different factors. The aim of this paper is to determine whether there is a relationship between work engagement and mobile learning and whether there are significant variances between work engagement and mobile learning among different generational cohorts. Methods: Quantitative research was performed using “Individual Innovativeness Scale” developed by Hurt, Joseph and Cook (1977) and “The Mobile Learning Scale (MBC)”, formed by Fatima, Ghandforoush, Khan and Masico (2017), applying the Technology Acceptance Model (TAM). The research included 231 representatives of different generations working in the organisations which used mobile learning in workplace and employed representatives of all four generations in Lithuania, EU. For statistical analysis two-way ANOVA was used, followed by post hoc pairwise comparisons (Bonferroni correction). Findings: There are significant differences in work engagement by different generations and mobile learning. Vigor, dedication and absorption were significantly affected by generation and by mobile learning. Conclusions: Generation X and Generation Y are more engaged in the workplace than Generation Z. Generation Z is more prone to using mobile learning in the workplace than Generation X and Generation Y; in comparison to other generations, the Baby Boomers are least prone to using mobile learning in the workplace. Recommendation: A focus on Generation Z mobile learning in the workplace would increase their work engagement. |
Published |
Brno : Mendel University Press |
Type |
Journal article |
Language |
English |
Publication date |
2019 |
CC license |
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