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Research Article

Role of Habit and Value Perceptions on m-Learning Outcomes

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References

  • Chang Y-S, Chen S-Y, Yu K-C, Chu Y-H, Chien Y-H. Effects of cloud-based m-learning on student creative performance in engineering design. Br J Educ Technol. 2017;48(1):101–12. doi:10.1111/bjet.2017.48.issue-1.
  • Hashim KF, Tan FB, Rashid A. Adult learners’ intention to adopt mobile learning: A motivational perspective. Br J Educ Technol. 2015;46(2):381–90. doi:10.1111/bjet.12148.
  • Bennett S, Maton K, Kervin L. The ‘digital natives’ debate: A critical review of the evidence. Br J Educ Technol. 2008;39(5):775–86. doi:10.1111/j.1467-8535.2007.00793.x.
  • Soror AA, Hammer BI, Steelman ZR, Davis FD, Limayem MM. Good habits gone bad: explaining negative consequences associated with the use of mobile phones from a dual-systems perspective. Inf Syst J. 2015;25(4):403–27. doi:10.1111/isj.12065.
  • Hoehle H, Venkatesh V. Mobile application usability: conceptualization and instrument development. MIS Q. 2015;39(2):435–72. doi:10.25300/MISQ.
  • Lee D, Moon J, Kim YJ, Mun YY. Antecedents and consequences of mobile phone usability: linking simplicity and interactivity to satisfaction, trust, and brand loyalty. Inf Manage. 2015;52(3):295–304. doi:10.1016/j.im.2014.12.001.
  • Kaganer E, Giordano GA, Brion S, Tortoriello M. Media tablets for mobile learning. Commun ACM. 2013;56(11):68–75. doi:10.1145/2524713.
  • Ozdamli F, Uzunboylu H. M-learning adequacy and perceptions of students and teachers in secondary schools. Br J Educ Technol. 2015;46(1):159–72. doi:10.1111/bjet.2015.46.issue-1.
  • Şad SN, Göktaş Ö. Preservice teachers’ perceptions about using mobile phones and laptops in education as mobile learning tools. Br J Educ Technol. 2014;45(4):606–18. doi:10.1111/bjet.2014.45.issue-4.
  • Scott KM, Nerminathan A, Alexander S, Phelps M, Harrison A. Using mobile devices for learning in clinical settings: A mixed-methods study of medical student, physician and patient perspectives. Br J Educ Technol. 2017;48(1):176–90. doi:10.1111/bjet.2017.48.issue-1.
  • Park SY, Nam M-W, Cha S-B. University students’ behavioral intention to use mobile learning: evaluating the technology acceptance model. Br J Educ Technol. 2012;43(4):592–605. doi:10.1111/j.1467-8535.2011.01229.x.
  • Lin T-C, Wu S, Hsu JS-C, Chou Y-C. The integration of value-based adoption and expectation–confirmation models: an example of IPTV continuance intention. Decis Support Syst. 2012;54(1):63–75. doi:10.1016/j.dss.2012.04.004.
  • Xu C, Peak D, Prybutok V. A customer value, satisfaction, and loyalty perspective of mobile application recommendations. Decis Support Syst. 2015;79:171–83. doi:10.1016/j.dss.2015.08.008.
  • Polites GL, Karahanna E. Shackled to the status quo: the inhibiting effects of incumbent system habit, switching costs, and inertia on new system acceptance. MIS Q. 2012;36(1):21–42. doi:10.2307/41410404.
  • Venkatesh V, Thong JY, Xu X. Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q. 2012;36(1):157–78. doi:10.2307/41410412.
  • Jeng Y-L, Wu -T-T, Huang Y-M, Tan Q, Yang SJ. The add-on impact of mobile applications in learning strategies: A review study. Educ Technol Soc. 2010;13:3–11.
  • Kalinic Z, Arsovski S, Stefanovic M, Arsovski Z, Rankovic V. The development of a mobile learning application as support for a blended eLearning environment. Tech Technol Educ Manag-TTEM. 2011;6:1345–55.
  • Alioon Y, Delialioğlu Ö. The effect of authentic m-learning activities on student engagement and motivation. Br J Educ Technol. 2017. doi:10.1111/bjet.12559.
  • Kinash S, Brand J, Mathew T. Challenging mobile learning discourse through research: student perceptions of blackboard mobile learn and iPads. Australas. J Educ Technol. 2012;28(4):639–655.
  • Alavi M, Leidner DE. Technology-mediated learning—A call for greater depth and breadth of research. Inf Syst Res. 2001;12(1):1–10. doi:10.1287/isre.12.1.1.9720.
  • Chiu C-M, Wang ET, Fang Y-H, Huang H-Y. Understanding customers’ repeat purchase intentions in B2C e-commerce: the roles of utilitarian value, hedonic value and perceived risk. Inf Syst J. 2014;24(1):85–114. doi:10.1111/j.1365-2575.2012.00407.x.
  • Schwartz SH. Are there universal aspects in the structure and contents of human values? J Soc Issues. 1994;50(4):19–45. doi:10.1111/j.1540-4560.1994.tb01196.x.
  • Deng L, Turner DE, Gehling R, Prince B. User experience, satisfaction, and continual usage intention of IT. Eur J Inf Syst. 2010;19(1):60–75. doi:10.1057/ejis.2009.50.
  • Lowry PB, Gaskin J, Moody G. Proposing the multi-motive information systems continuance model (MISC) to better explain end-user system evaluations and continuance intentions. J Assoc Inf Syst. 2015;16:515–79.
  • Chiu C-M, Hsu M-H, Lai H, Chang C-M. Re-examining the influence of trust on online repeat purchase intention: the moderating role of habit and its antecedents. Decis Support Syst. 2012;53(4):835–45. doi:10.1016/j.dss.2012.05.021.
  • Chalmers D. Foreward - Supersizing the mind: Embodiment, action, and cognitive extension. Oxford (England): Oxford University Press; 2008.
  • Maunder J 2016. 5 Reasons Why Mobile Learning is More Fun Than Learning on a Desktop.
  • Limayem M, Hirt SG, Cheung CM. How habit limits the predictive power of intention: the case of information systems continuance. MIS Q. 2007;705–37. doi:10.2307/25148817.
  • Khansa L, Ma X, Liginlal D, Kim SS. Understanding members’ active participation in online question-and-answer communities: A theory and empirical analysis. J Manag Inf Syst. 2015;32(2):162–203. doi:10.1080/07421222.2015.1063293.
  • Verplanken B, Aarts H. Habit, attitude, and planned behaviour: is habit an empty construct or an interesting case of goal-directed automaticity? Eur Rev Soc Psychol. 1999;10(1):101–34. doi:10.1080/14792779943000035.
  • He W, Wei -K-K. What drives continued knowledge sharing? An investigation of knowledge-contribution and-seeking beliefs. Decis Support Syst. 2009;46(4):826–38. doi:10.1016/j.dss.2008.11.007.
  • Murray KB, Häubl G. Explaining cognitive lock-in: the role of skill-based habits of use in consumer choice. J Consum Res. 2007;34(1):77–88. doi:10.1086/513048.
  • Hu PJ-H, Hui W. Examining the role of learning engagement in technology-mediated learning and its effects on learning effectiveness and satisfaction. Decis Support Syst. 2012;53(4):782–92. doi:10.1016/j.dss.2012.05.014.
  • Wan Z, Compeau D, Haggerty N. The effects of self-regulated learning processes on e-learning outcomes in organizational settings. J Manag Inf Syst. 2012;29(1):307–40. doi:10.2753/MIS0742-1222290109.
  • Gupta S, Bostrom R. An investigation of the appropriation of technology-mediated training methods incorporating enactive and collaborative learning. Inf Syst Res. 2013;24(2):454–69. doi:10.1287/isre.1120.0433.
  • Piccoli G, Ahmad R, Ives B. Web-based virtual learning environments: A research framework and a preliminary assessment of effectiveness in basic IT skills training. MIS Q. 2001;401–26. doi:10.2307/3250989.
  • Wang Y-S. Assessment of learner satisfaction with asynchronous electronic learning systems. Inf Manage. 2003;41(1):75–86. doi:10.1016/S0378-7206(03)00028-4.
  • Bandura A. Social foundations of thought and action: A social cognitive theory. Englewood Cliffs (NJ): Prentice-Hall, Inc; 1986.
  • Chen L. Understanding IT entrepreneurial intention: an information systems view. J Comput Inf Syst. 2014;55:2–12.
  • Bandura A. Human agency in social cognitive theory. Am Psychol. 1989;44:1175.
  • Santhanam R, Sasidharan S, Webster J. Using self-regulatory learning to enhance e-learning-based information technology training. Inf Syst Res. 2008;19(1):26–47. doi:10.1287/isre.1070.0141.
  • Kankanhalli A, Ye HJ, Teo HH. Comparing potential and actual innovators: an empirical study of mobile data services innovation. MIS Q. 2015;39(3):667–82. doi:10.25300/MISQ/2015/39.3.07.
  • Bulgurcu B, Cavusoglu H, Benbasat I. Information security policy compliance: an empirical study of rationality-based beliefs and information security awareness. MIS Q. 2010;34(3):523–48. doi:10.2307/25750690.
  • Pavlou PA, Fygenson M. Understanding and predicting electronic commerce adoption: an extension of the theory of planned behavior. MIS Q. 2006;115–43. doi:10.2307/25148720.
  • Cavus N, Ercag E. The scale for the self-efficacy and perceptions in the safe use of the Internet for teachers: the validity and reliability studies. Br J Educ Technol. 2016;47(1):76–90. doi:10.1111/bjet.12217.
  • Wang C, Lee MK, Hua Z. A theory of social media dependence: evidence from microblog users. Decis Support Syst. 2015;69:40–49. doi:10.1016/j.dss.2014.11.002.
  • Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50(2):179–211. doi:10.1016/0749-5978(91)90020-T.
  • Bhattacherjee A. Understanding information systems continuance: an expectation-confirmation model. MIS Q. 2001;25(3):351–70. doi:10.2307/3250921.
  • Lu H-P, Hsiao K-L. The influence of extro/introversion on the intention to pay for social networking sites. Inf Manage. 2010;47(3):150–57. doi:10.1016/j.im.2010.01.003.
  • Zhao L, Lu Y, Zhang L, Chau PY. Assessing the effects of service quality and justice on customer satisfaction and the continuance intention of mobile value-added services: an empirical test of a multidimensional model. Decis Support Syst. 2012;52(3):645–56. doi:10.1016/j.dss.2011.10.022.
  • Zhou T. An empirical examination of continuance intention of mobile payment services. Decis Support Syst. 2013;54(2):1085–91. doi:10.1016/j.dss.2012.10.034.
  • Bhatnagar N, Madden H, Levy Y. Initial empirical testing of potential factors contributing to patient use of secure medical teleconferencing. J Comput Inf Syst. 2017;57:89–95.
  • Hill SR, Troshani I, Burgan B. Broadband adoption in regional and urban households. J Comput Inf Syst. 2014;54:57–66.
  • Sripalawat J, Thongmak M, Ngramyarn A. M-banking in metropolitan Bangkok and a comparison with other countries. J Comput Inf Syst. 2011;51:67–76.
  • Wang Y-S, Lin -H-H, Luarn P. Predicting consumer intention to use mobile service. Inf Syst J. 2006;16(2):157–79. doi:10.1111/j.1365-2575.2006.00213.x.
  • Kim SS, Malhotra NK. A longitudinal model of continued IS use: an integrative view of four mechanisms underlying postadoption phenomena. Manag Sci. 2005;51(5):741–55. doi:10.1287/mnsc.1040.0326.
  • Ortiz de Guinea A, Markus ML. Why break the habit of a lifetime? Rethinking the roles of intention, habit, and emotion in continuing information technology use. MIS Q. 2009;33(3):433–44. doi:10.2307/20650303.
  • Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: toward a unified view. MIS Q. 2003;27(3):425–78. doi:10.2307/30036540.
  • Kim SS, Malhotra NK, Narasimhan S. Two competing perspectives on automatic use: A theoretical and empirical comparison. Inf Syst Res. 2005;16(4):418–32. doi:10.1287/isre.1050.0070.
  • Liang H, Saraf N, Hu Q, Xue Y. Assimilation of enterprise systems: the effect of institutional pressures and the mediating role of top management. MIS Q. 2007;31(1):59–87. doi:10.2307/25148781.
  • Lee Y, Chen AN. Usability design and psychological ownership of a virtual world. J Manag Inf Syst. 2011;28(3):269–308. doi:10.2753/MIS0742-1222280308.
  • Malhotra A, Gosain S, El Sawy OA. Leveraging standard electronic business interfaces to enable adaptive supply chain partnerships. Inf Syst Res. 2007;18(3):260–79. doi:10.1287/isre.1070.0132.
  • Patnayakuni R, Rai A, Seth N. Relational antecedents of information flow integration for supply chain coordination. J Manag Inf Syst. 2006;23(1):13–49. doi:10.2753/MIS0742-1222230101.
  • Smythe C 2017. Progressive Publishing: Content on Demand. Digit. Book World.
  • Prensky M. Digital natives, digital immigrants part 1. Horiz. 2001;9:1–6.
  • Söllner M, Bitzer P, Janson A, Leimeister JM. Process is king: evaluating the performance of technology-mediated learning in vocational software training. J Inf Technol. 2018;33(3): 233–253.

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