Factors Determining the Behavioral Intention to Use Mobile Learning: An Application and Extension of the UTAUT Model

Ajzen, 1991, The theory of planned behavior., Organ. Behav. Hum. Decis. Process., 50, 179, 10.1016/0749-5978(91)90020-T

Alalwan, 2017, Factors influencing adoption of mobile banking by jordanian bank customers: extending UTAUT2 with trust., Int. J. Inf. Manage., 37, 99, 10.1016/j.ijinfomgt.2017.01.002

Alalwan, 2018, Examining factors influencing jordanian customers’ intentions and adoption of internet banking: extending UTAUT2 with risk., J. Retail. Consum. Ser., 40, 125, 10.1016/j.jretconser.2017.08.026

Alolah, 2014, Determining the causal relationships among balanced scorecard perspectives on school safety performance: case of Saudi Arabia., Accid. Anal. Prev., 68, 57, 10.1016/j.aap.2014.02.002

Arpaci, 2016, Understanding and predicting students’ intention to use mobile cloud storage services., Comput. Hum. Behav., 58, 150, 10.1016/j.chb.2015.12.067.,

Bagozzi, 2012, Specification, evaluation, and interpretation of structural equation models., J. Acad. Market. Sci., 40, 8, 10.1111/j.1467-6494.2010.00681.x

Bandura, 1986, Social Foundations of Thought and Action: A Social Cognitive Theory.

Baron, 1986, The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations., J. Pers. Soc. Psychol., 51, 10.1037//0022-3514.51.6.1173

Briz-Ponce, 2017, Learning with mobile technologies–students’ behavior., Comput. Hum. Behav., 72, 612, 10.1016/j.chb.2016.05.027

Chang, 2017, Examining the students’ behavioral intention to use e-learning in azerbaijan? the general extended technology acceptance model for e-learning approach., Comput. Educ., 111, 128, 10.1016/j.compedu.2017.04.010

Chauhan, 2016, Determinants of acceptance of ERP software training in business schools: empirical investigation using UTAUT model., Int. J. Manage. Educ., 14, 248, 10.1016/j.ijme.2016.05.005

Chin, 1998, The partial least squares approach to structural equation modeling, Modern Business Research Methods, 295

Cimperman, 2016, Analyzing older users’ home telehealth services acceptance behavior—applying an extended UTAUT model., Int. J. Med. Inform., 90, 22, 10.1016/j.ijmedinf.2016.03.002

Compeau, 1995, Computer self-efficacy: development of a measure and initial test., MIS Q., 19, 189, 10.2307/249688

Crompton, 2018, The use of mobile learning in higher education: a systematic review., Comput. Educ., 123, 53, 10.1016/j.compedu.2018.04.007

Davis, 1989, Perceived usefulness, perceived ease of use, and user acceptance of information technology., MIS Q., 13, 10.2307/249008

Davis, 1989, User acceptance of computer technology: a comparison of two theoretical models., Manag. Sci., 35, 982, 10.1287/mnsc.35.8.982

DeLone, 2016, Information systems success measurement., Found. Trends Inf. Syst., 2, 1, 10.1561/2900000005

DeVellis, 2003, Scale Development: Theory and Applications

Falk, 1992, A Primer for Soft Modeling.

Featherman, 2003, Predicting e-services adoption: a perceivedrisk facets perspective., Int. J. Hum. Comput. Stud., 59, 451, 10.1016/s1071-5819(03)00111-3

Fornell, 1981, Evaluating structural equation models with unobservable variables and measurement error., J. Market. Res., 18, 39, 10.1177/002224378101800104

Hair, 2010, Multivariate Data Analysis: A Global Perspective

Hair, 2016, A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM).

Hamidi, 2018, Analysis of the essential factors for the adoption of mobile learning in higher education: a case study of students of the university of technology., Telematics Inform., 35, 1053, 10.1016/j.tele.2017.09.016

Hamidi, 2019, Essential factors for the application of education information system using mobile learning: a case study of students of the university of technology., Telematics Inform., 38, 207, 10.1016/j.tele.2018.10.002

Hanafizadeh, 2014, Mobile-banking adoption by Iranian bank clients., Telematics Inform., 31, 62, 10.1016/j.tele.2012.11.001

Henseler, 2009, The Use of Partial Least Squares Path Modeling in International Marketing. in New Challenges to International Marketing.

Hoque, 2017, Understanding factors influencing the adoption of mHealth by the elderly: an extension of the UTAUT model., Int. J. Med. Inform., 101, 75, 10.1016/j.ijmedinf.2017.02.002

Jöreskog, 2005, LISREL 8.72: A Guide to the Program and Applications

Kabra, 2017, Understanding behavioural intention to use information technology: insights from humanitarian practitioners., Telematics Inform., 34, 1250, 10.1016/j.tele.2017.05.010

Khalilzadeh, 2017, Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry., Comput. Hum. Behav., 70, 460, 10.1016/j.chb.2017.01.001

Kim, 2017, Understanding the role of user resistance on mobile learning usage among university students., Comput. Educ., 113, 108, 10.1016/j.compedu.2017.05.015

Koufaris, 2004, The development of initial trust in an online company by new customers., Inf. Manag., 41, 377, 10.1016/j.im.2003.08.004

MacKenzie, 2011, Construct measurement and validation procedures in MIS and behavioral research: integrating new and existing techniques., MIS Q., 35, 293, 10.2307/23044045

Maillet, 2015, Modeling factors explaining the acceptance, actual use and satisfaction of nurses using an electronic patient record in acute care settings: an extension of the UTAUT., Int. J. Med. Inform., 84, 36, 10.1016/j.ijmedinf.2014.09.004

Martin, 2013, Here and now mobile learning: an experimental study on the use of mobile technology., Comput. Educ., 68, 76, 10.1016/j.compedu.2013.04.021

Martins, 2014, Understanding the internet banking adoption: a unified theory of acceptance and use of technology and perceived risk application., Int. J. Inf. Manag., 34, 1, 10.2196/13117

Nikou, 2017, Mobile-based assessment: investigating the factors that influence behavioral intention to use., Comput. Educ., 109, 56, 10.1016/j.compedu.2017.02.005

Ozturk, 2016, What keeps the mobile hotel booking users loyal? Investigating the roles of self-efficacy, compatibility, perceived ease of use, and perceived convenience., Int. J. Inf. Manag., 36, 1350, 10.1016/j.ijinfomgt.2016.04.005

Park, 2012, Investigating the determinants of construction professionals’ acceptance of web-based training: an extension of the technology acceptance model., Autom. Constr., 22, 377, 10.1016/j.autcon.2011.09.016

Rogers, 2003, Diffusion of Innovations

Sánchez-Prieto, 2016, Informal tools in formal contexts: development of a model to assess the acceptance of mobile technologies among teachers., Comput. Hum. Behav., 55, 519, 10.1016/j.chb.2015.07.002

Sheppard, 1988, The theory of reasoned action: a meta-analysis of past research with recommendations for modifications and future research., J. Consum. Res., 15, 10.1086/209170

Shiau, 2013, Continuance intention of blog users: the impact of perceived enjoyment, habit, user involvement and blogging time., Behav. Inf. Technol., 32, 570, 10.1080/0144929x.2012.671851

Šumak, 2017, Differences between prospective, existing, and former users of interactive whiteboards on external factors affecting their adoption, usage and abandonment., Comput. Hum. Behav., 72, 733, 10.1016/j.chb.2016.09.006

Šumak, 2016, The acceptance and use of interactive whiteboards among teachers: differences in UTAUT determinants between pre-and post-adopters., Comput. Hum. Behav., 64, 602, 10.1016/j.chb.2016.07.037

Tang, 2017, Is mobile instant messaging (MIM) useful in education? Examining its technological, pedagogical, and social affordances., Educ. Res. Rev., 21, 85, 10.1016/j.edurev.2017.05.001

Taylor, 1995, Understanding information technology usage: a test of competing models., Inf. Syst. Res., 6, 144, 10.1287/isre.6.2.144

Tenenhaus, 2005, PLS path modeling., Comput. Stat. Data Anal., 48, 159, 10.1016/j.csda.2004.03.005

Thompson, 1991, Personal computing: toward a conceptual model of utilization., MIS Q., 15, 125, 10.2307/249443

Tsai, 2018, Nursing staff intentions to continuously use a blended e-learning system from an integrative perspective., Qual. Quant., 2495, 10.1007/s11135-017-0540-5

Tsang, 2002, Acquiring knowledge by foreign partners from international joint ventures in a transition economy: learning-by-doing and learning myopia., Strateg. Manag. J., 23, 835, 10.1002/smj.251

2009, La Nueva Dinámica de la Educación Superior y la Investigación Para el Cambio Social y el Desarrollo. In Conferencia Mundial Sobre la Educación Superior.

Vallerand, 1997, Toward a hierarchical model of intrinsic and extrinsic motivation, Advances in Experimental Social Psychology, 271, 10.1016/s0065-2601(08)60019-2

Venkatesh, 2000, Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model., Inf. Syst. Res., 11, 342, 10.1287/isre.11.4.342.11872

Venkatesh, 2000, A theoretical extension of the technology acceptance model: four longitudinal field studies., Manag. Sci., 46, 186, 10.1287/mnsc.46.2.186.11926

Venkatesh, 2000, Why don’t men ever stop to ask for directions? gender, social influence, and their role in technology acceptance and usage behavior., MIS Q., 24, 115, 10.2307/3250981

Venkatesh, 2003, User acceptance of information technology: toward a unified view., MIS Q., 27, 425, 10.2307/30036540

Yousafzai, 2016, Multimedia augmented m-learning: issues, trends and open challenges., Int. J. Inf. Manag., 36, 784, 10.1016/j.ijinfomgt.2016.05.010