Habit, hedonic motivation, performance expectancy and technological pedagogical knowledge affect teachers’ intention to use mobile internet

Adov, 2020, Does it have to be easy, useful, or do we need something else? STEM teachers’ attitudes towards mobile device use in teaching, Technol Pedag Educ, 29, 511, 10.1080/1475939X.2020.1785928 Alasmari, 2019, Mobile learning technology acceptance in Saudi Arabian higher education: an extended framework and a mixed-method study, Educ Inform Technol, 24, 2127, 10.1007/s10639-019-09865-8 Almetere, 2020, Using UTAUT model to determine factors affecting Internet of Things acceptance in public Universities, Int J Acad Res Bus Soc Sci, 10, 142 Alshabeb, 2020, Studies employing the unified theory of acceptance and use of technology (UTAUT) as a guideline for the research: literature review of the Saudi context, Adv Soc Sci Res J, 7, 18 Al-Zoubi, 2019, E-mobile acceptance using Unified Theory of Acceptance and Use of Technology (UTAUT): research on Universities in Jordan, Ann Emerg Technol Comput (AETiC), 3, 28, 10.33166/AETiC.2019.04.003 Bain, 2006, The influence of gender on attitudes, perceptions, and uses of technology, J Res Technol Educ, 39, 119, 10.1080/15391523.2006.10782476 Bandura, 1977, Self-efficacy: toward a unifying theory of behaviour change, Psychol Rev, 84, 191, 10.1037/0033-295X.84.2.191 Bandura, 1993, Perceived self-efficacy in cognitive development and functioning, Educ Psychol, 28, 117, 10.1207/s15326985ep2802_3 Blut, 2021, Meta-Analysis of the Unified Theory of Acceptance and Use of Technology (UTAUT): challenging its validity and charting a research agenda in the Red Ocean, J Assoc Inform Syst Buabeng-Andoh, 2020, Exploring university students’ intention to use mobile learning: a research model approach, Educ Inform Technol Chao, 2019, Factors determining the behavioral intention to use mobile learning: an application and extension of the UTAUT model, Front Psychol, 10, 1652, 10.3389/fpsyg.2019.01652 Cheng, Y., Sharma, S., Sharma, P., & Kulathunga, K. (2020). Role of personalization in continuous use intention of mobile news apps in India: extending the UTAUT2 model. Information, 11(1), 33. https://doi.org/10.3390/info11010033. Cohen, 1977 Creswell, 2002 Cronbach, 1951, Coefficient alpha and the internal structure of tests, Psychometrika, 16, 297, 10.1007/BF02310555 Fagan, 2019, Factors influencing student acceptance of mobile learning in higher education, Comput Sch, 36, 105, 10.1080/07380569.2019.1603051 Fornell, 1981, Evaluating structural equation models with unobservable variables and measurement error, J Market Res, 18, 39, 10.1177/002224378101800104 Guzmán Franco, 2019, Mobile learning in University contexts based on the Unified Theory of Acceptance and Use of Technology (UTAUT), J New Approaches Educ Res, 8, 7, 10.7821/naer.2019.1.317 Hair, 2017 Hoi, 2020, Understanding higher education learners’ acceptance and use of mobile devices for language learning: a Rasch-based path modeling approach, Comput Educ, 146, 10.1016/j.compedu.2019.103761 Hu, 2020, Exploring factors affecting academics’ adoption of emerging mobile technologies - an extended UTAUT perspective, Educ Inform Technol, 25, 4615, 10.1007/s10639-020-10171-x Hwang, 2020, Facilitating knowledge construction in mobile learning contexts: a bi-directional peer-assessment approach, Br J Educ Technol Jayanth J., 2020, Examining the inter-relationships of UTAUT constructs in mobile internet use in India and Germany, J Electron Commer Organ, 18, 36, 10.4018/JECO.2020040103 Kalogiannakis, 2019, Evaluating pre-service kindergarten teachers’ intention to adopt and use tablets into teaching practice for natural sciences, Int J Mob Learn Organ, 13, 113, 10.1504/IJMLO.2019.096479 Kim, 2020, Conceptual model to predict Filipino teachers’ adoption of ICT-based instruction in class: using the UTAUT model, Asia Pac J Educ, 10.1080/02188791.2020.1776213 Koh, 2014, Teacher clusters and their perceptions of technological pedagogical content knowledge (TPACK) development through ICT lesson design, Comput Educ, 70, 222, 10.1016/j.compedu.2013.08.017 Kousloglou, 2021, Tracing the views of Greek secondary school teachers on mobile learning, 205 Kwon, 2019, Teachers’ self-efficacy matters: exploring the integration of mobile computing device in middle schools, Tech Trend., 63, 682, 10.1007/s11528-019-00402-5 Lavidas, 2019, Adaption and psychometric properties of the short forms Marlowe-Crowne social desirability scale with a sample of Greek university students, Eur J Educ Stud, 6, 230 Lavidas, 2021, Preschool teachers’ perceptions about TPACK in Greek educational context, J Comput Educ, 10.1007/s40692-021-00184-x Li, 2016, Pre-service teachers’ intention to adopt technology in their future classrooms, J Educ Comput Res, 54, 946, 10.1177/0735633116641694 Liu, 2016, Examining teachers’ use of iPads: comfort level, perceptions and use, J Res Technol Educ, 48, 159, 10.1080/15391523.2016.1175853 Mahalanobis, 1936, On the generalized distance in statistics, Proceed Natl Instit Sci India, 2, 49 Mishra, 2006, Technological pedagogical content knowledge: a framework for teacher knowledge, Teach Coll Rec, 108, 1017, 10.1111/j.1467-9620.2006.00684.x Nikolopoulou, 2018, Mobile learning usage and acceptance: perceptions of secondary school students, J Comput Educ, 5, 499, 10.1007/s40692-018-0127-8 Nikolopoulou, 2020, Secondary education teachers’ perceptions of mobile phone and tablet use in classrooms: benefits, constraints and concerns, J Comput Educ, 7, 257, 10.1007/s40692-020-00156-7 Nikolopoulou, 2021, Mobile devices and mobile learning in Greek secondary education: policy, empirical findings and implications, 67 Nikolopoulou, 2020, Acceptance of mobile phone by University students for their studies: an investigation applying UTAUT2 model, Educ Inform Technol, 25, 4139, 10.1007/s10639-020-10157-9 Nikolopoulou, 2021, Teachers’ readiness to adopt mobile learning in classrooms: a study in Greece, Technol Knowl Learn, 26, 53, 10.1007/s10758-020-09453-7 Nikolopoulou, 2017, High school pupils’ attitudes and self-efficacy of using mobile devices, Theme Sci Technol Educ, 10, 53 Nikolopoulou, 2018, Mobile phone dependence: secondary school pupils’ attitudes, Educ Inform Technol, 23, 2821, 10.1007/s10639-018-9743-1 Nikolopoulou, 2019, Mobile learning in science: a study in secondary education in Greece, Creat Educ, 10, 1271, 10.4236/ce.2019.106096 Omar, 2019, The influence of mobile technology adoption among secondary school teachers using the UTAUT2 model, Int J Recent Technol Eng, 8, 3827 Papadakis, 2018, Evaluating pre-service teachers’ acceptance of mobile devices with regards to their age and gender: a case study in Greece, Int J Mob Learn Organ, 12, 336, 10.1504/IJMLO.2018.095130 R Core Team (2020). R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/. Rahi, 2018, The role of UTAUT, DOI, perceived technology security and game elements in internet banking adoption, World J Sci Technol Sustain Dev, 15, 338, 10.1108/WJSTSD-05-2018-0040 Raykov, 1997, Estimation of composite reliability for congeneric measures, Appl Psychol Meas, 21, 173, 10.1177/01466216970212006 Sanchez, G. (2013). PLS Path Modeling with R. Berkeley: trowchez Editions. http://www.gastonsanchez.com/PLS Path Modeling with R.pdf. Accessed 5 November 2020. Sanchez, G., Trinchera, L., & Russolillo, G. (2017). Plspm: tools for Partial Least Squares Path Modeling (PLS-PM). R package version 0.4.9. https://CRAN.R-project.org/package=plspm. Accessed 5 November 2020. Sánchez-Prieto, 2019, Break the walls! Second-Order barriers and the acceptance of mLearning by first-year pre-service teachers, Comput Human Behav, 95, 158, 10.1016/j.chb.2019.01.019 Sidik, 2020, Exploring the factors influencing students’ intention to use mobile learning in Indonesia higher education, Educ Inform Technol, 25, 4781, 10.1007/s10639-019-10018-0 Venkataraman, 2018, Factors influencing mobile learning: a literature review of selected journal papers, Int J Mob Learn Organ, 12, 99, 10.1504/IJMLO.2018.090836 Venkatesh, 2003, User acceptance of information technology: toward a unified view, MIS Q, 27, 425, 10.2307/30036540 Venkatesh, 2012, Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology, MIS Q, 36, 157, 10.2307/41410412 Venkatesh, 2016, Unified theory of acceptance and use of technology: a synthesis and the road ahead, J Assoc Inform Syst, 17, 328 Wang, 2010, User acceptance of mobile internet based on the Unified Theory of Acceptance and Use of Technology: investigating the determinants and gender differences, Soc Behav Pers, 38, 415, 10.2224/sbp.2010.38.3.415 Wang, 2009, Investigating the determinants and age and gender differences in the acceptance of mobile learning, Br J Educ Technol, 40, 92, 10.1111/j.1467-8535.2007.00809.x Wong, 2019, Mobile internet adoption in Malaysian suburbs: the moderating effect of gender, Asian J Bus Res, 9, 90 Xu, 2020, Factors influencing K-12 teachers’ intention to adopt mobile devices in teaching, Comput Sch, 37, 292, 10.1080/07380569.2020.1830257 Zacharis, 2020, Investigating the factors influencing pre-service teachers’ acceptance to use mobile devices for learning: the Case of a Greek University, 183