7-1-2013 Motivations For BYOD : An Investigation Of The Contents Of A 21 st Century School Bag

Bring-Your-Own-Device (BYOD) is an emerging socio-technical phenomenon in both businesses, and increasingly, in schools-where it is being advocated for ICT enabled learning. The later has not, to date, received as much research attention as the former. Despite accelerating adoption, the factors that affect students’ use of BYOD are still not well articulated. This research determines those factors that affect secondary school students’ use of BYOD. We used a modified version of Taylor and Todd’s (1995) decomposed Theory of Planned Behaviour (TPB) to evaluate antecedents to behavioural intention to BYOD. We received 386 responses from 9 New Zealand secondary schools. The results show that students’ behavioural intention to use their own device is substantially influenced by their attitude and moderately influenced by their subjective norms and perceived behavioural control.

[1]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[2]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[3]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[4]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[5]  I. Ajzen.  The theory of planned behavior , 1991 .

[6]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[7]  Henri Barki,et al.  Explaining the Role of User Participation in Information System Use , 1994 .

[8]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[9]  Peter A. Todd,et al.  Assessing IT usage: the role of prior experience , 1995 .

[10]  Izak Benbasat,et al.  Integrating Diffusion of Innovations and Theory of Reasoned Action models to predict utilization of information technology by end-users , 1996 .

[11]  Wynne W. Chin.  Issues and Opinion on Structural Equation Modeling by , 2009 .

[12]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[13]  Detmar W. Straub,et al.  Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..

[14]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..

[15]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

[16]  M. Conner,et al.  Efficacy of the Theory of Planned Behaviour: a meta-analytic review. , 2001, The British journal of social psychology.

[17]  Confirmation Model.  UNDERSTANDING INFORMATION SYSTEMS CONTINUANCE: AN EXPECTATION- , 2001 .

[18]  Detmar W. Straub,et al.  Validation in Information Systems Research: A State-of-the-Art Assessment , 2001, MIS Q..

[19]  I. Ajzen.  Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. , 2002 .

[20]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[21]  P. John,et al.  Affordance, opportunity and the pedagogical implications of ICT , 2005 .

[22]  Heinz Ulrich Hoppe,et al.  One-to-One Technology-Enhanced Learning: an Opportunity for Global Research Collaboration , 2006, Res. Pract. Technol. Enhanc. Learn..

[23]  Izak Benbasat,et al.  Quo vadis TAM? , 2007, J. Assoc. Inf. Syst..

[24]  Gwo-Dong Chen,et al.  An activity-theoretical approach to investigate learners' factors toward e-learning systems , 2007, Comput. Hum. Behav..

[25]  Hsinyi Peng,et al.  From Virtual Environments to Physical Environments: Exploring Interactivity in Ubiquitous-learning Systems , 2008, J. Educ. Technol. Soc..

[26]  E. Straub.  Understanding Technology Adoption: Theory and Future Directions for Informal Learning , 2009 .

[27]  Ming-Chi Lee,et al.  Explaining and predicting users' continuance intention toward e-learning: An extension of the expectation-confirmation model , 2010, Comput. Educ..

[28]  Marjan Hericko,et al.  A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types , 2011, Comput. Hum. Behav..

[29]  R. Douglas,et al.  ICT for teaching and ICT for learning: They are not the same , 2011 .

[30]  Gordon Thomson.  BYOD: enabling the chaos , 2012, Netw. Secur..