Adoption of E-Book for University Students

This paper employs the Technology Acceptance Model (TAM) to study the adoption of E-book amongst higher-education students in a well-known academic institute in the UAE, where E-book was being implemented. Computer self-efficacy, confirmation, innovativeness, satisfaction, and subjective norm are the five factors that this model embarks on to realize the influence on the university students as a result of the adoption of the E-book. This study was conducted among 350 university students through a survey which has used the quantitative evaluation to gain the optimum advantage from the subjective methods. The hypotheses were analyzed, and the model was assessed with the help of the statistical package for Structural Equation Modeling (SEM). The main findings that can be derived from the existing study are the factors that have positive impact on students’ perceived ease of use and perceived usefulness of E-book. They are computer self-efficacy, confirmation, innovativeness, and subjective norm. As a result, it is imperative for legislators and managers of E-book applications to concentrate on the factors that are critical for encouraging learning and enhancing students’ efficiency in developing and executing successful E-book applications.

[1]  Khaled Shaalan,et al.  Academics’ Awareness towards Mobile Learning in Oman , 2017 .

[2]  Daejoong Kim,et al.  Acceptance and rejection of mobile TV among young adults: A case of college students in South Korea , 2011, Telematics Informatics.

[3]  Richard A. Spreng,et al.  A cross‐cultural assessment of the satisfaction formation process , 2002 .

[4]  R. V. Krejcie,et al.  Determining Sample Size for Research Activities , 1970 .

[5]  Madison N. Ngafeeson,et al.  The Effects of Technology Innovativeness and System Exposure on Student Acceptance of E-textbooks , 2015, J. Inf. Technol. Educ. Res..

[6]  A. SalloumSaid,et al.  A survey of text mining in social media facebook and twitter perspectives , 2017 .

[7]  Kok Wai Wong,et al.  Factors Affecting the e-Book Adoption amongst Mathematics and Statistics Students at Universities in Libya: A Structural Equation Modelling Approach , 2015 .

[8]  Said A. Salloum,et al.  A Survey of Lexical Functional Grammar in the Arabic Contex , 2016 .

[9]  Alan Kurdi,et al.  Healthy-food choice and purchasing behaviour analysis : an exploratory study of families in the UK , 2016 .

[10]  A. Bandura.  Self-efficacy: toward a unifying theory of behavioral change. , 1977, Psychological review.

[11]  M. Al-Emran,et al.  Analysis and Classification of Arabic Newspapers’ Facebook Pages using Text Mining Techniques , 2017 .

[12]  M. Alshurideh.  Customer Service Retention - A Behavioural Perspective of the UK Mobile Market , 2010 .

[13]  Travis K. Huang.  Investigating User Acceptance of a Screenshot-Based Interaction System in the Context of Advanced Computer Software Learning , 2014, 2014 47th Hawaii International Conference on System Sciences.

[14]  Wen-Chia Tsai.  A study of consumer behavioral intention to use e-books: the Technology Acceptance Model perspective , 2017 .

[15]  J. K. L. Poon.  Empirical Analysis of Factors Affecting the E-Book Adoption—Research Agenda , 2014 .

[16]  N. Aharony,et al.  The effect of personal and situational factors on LIS students' and professionals' intentions to use e-books , 2014 .

[17]  Sohail Iqbal Malik,et al.  The Impact of Google Apps at Work: Higher Educational Perspective , 2016, Int. J. Interact. Mob. Technol..

[18]  A. Noorhidawati,et al.  Continuance intention of using e- book among higher education students , 2016 .

[19]  Chua Lee Chuan.  SAMPLE SIZE ESTIMATION USING KREJCIE AND MORGAN AND COHEN STATISTICAL POWER ANALYSIS: A COMPARISON , 2006 .

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

[21]  Eric W. T. Ngai,et al.  Empirical examination of the adoption of WebCT using TAM , 2007, Comput. Educ..

[22]  Tzung-Shi Chen,et al.  Development and evaluation of the mobile library service system success model: A case study of Taiwan , 2015, Electron. Libr..

[23]  Kok Wai Wong,et al.  Proposed framework of the adoption of e-book amongst mathematics and statistics students at universities in Libya , 2014 .

[24]  Mary T. Moser,et al.  Electronic reading and digital library technologies: understanding learner expectation and usage intent for mobile learning , 2014, Educational Technology Research and Development.

[25]  Sohail Iqbal Malik,et al.  Social Factors Influence on Career Choices for Female Computer Science Students , 2018, Int. J. Emerg. Technol. Learn..

[26]  Khaled Shaalan,et al.  Attitudes Towards the Use of Mobile Learning: A Case Study from the Gulf Region , 2015, Int. J. Interact. Mob. Technol..

[27]  Dong-Hee Shin,et al.  Understanding e-book users: Uses and gratification expectancy model , 2011, New Media Soc..

[28]  Vitaliy Mezhuyev,et al.  Students’ perceptions towards the integration of knowledge management processes in M-Learning Systems: A preliminary study , 2018 .

[29]  Vitaliy Mezhuyev,et al.  Development of M-learning Application based on Knowledge Management Processes , 2018, ICSCA.

[30]  Said A. Salloum,et al.  Analyzing the Arab Gulf Newspapers Using Text Mining Techniques , 2017, AISI.

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

[32]  Said A. Salloum,et al.  Students' Attitudes Towards the Use of Mobile Technologies in e-Evaluation , 2017, Int. J. Interact. Mob. Technol..

[33]  David C. Yen,et al.  Assessing the impact of determinants in e-magazines acceptance: An empirical study , 2018, Comput. Stand. Interfaces.

[34]  Vess Johnson,et al.  The Impact of Content Type and Availability on eBook Reader Adoption , 2014, J. Comput. Inf. Syst..

[35]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[36]  Sungjoon Lee,et al.  An integrated adoption model for e-books in a mobile environment: Evidence from South Korea , 2013, Telematics Informatics.

[37]  Rohani Ahmad Tarmizi,et al.  Assessing the intention to use e-book among engineering undergraduates in Universiti Putra Malaysia, Malaysia , 2011, Libr. Hi Tech.

[38]  Viswanath Venkatesh,et al.  Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..

[39]  Jung-Yu Lai,et al.  Understanding acceptance of dedicated e-textbook applications for learning: involving Taiwanese university students , 2012, Electron. Libr..

[40]  Khaled Shaalan,et al.  Learners and educators attitudes towards mobile learning in higher education: State of the art , 2015, 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

[41]  M. Alshurideh.  The Factors Predicting Students’ Satisfaction with Universities’ Healthcare Clinics’ Services A Case-Study from the Jordanian Higher Education Sector , 2014, DAS 2014.

[42]  Mostafa Al-Emran,et al.  Hierarchical Reinforcement Learning: A Survey , 2015 .

[43]  Yueh-Min Huang,et al.  Implementation and evaluation of mobile e-books in a cloud bookcase using the information system success model , 2016, Libr. Hi Tech.

[44]  D. Midgley,et al.  Innovativeness: The Concept and Its Measurement , 1978 .

[45]  Hyunseung Choo,et al.  Smartphones as smart pedagogical tools: Implications for smartphones as u-learning devices , 2011, Comput. Hum. Behav..

[46]  Klara Nelson,et al.  Exploring Student Perceptions of an Electronic Textbook: A TAM Perspective , 2007, AMCIS.

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

[48]  Khaled Shaalan,et al.  Using Text Mining Techniques for Extracting Information from Research Articles , 2018 .

[49]  Mostafa Al-Emran,et al.  Code-switching Usage in Social Media: A Case Study from Oman , 2019 .

[50]  Lorenzo Sommaruga,et al.  The evaluation of electronic book guidelines from two practical experiences , 1997 .

[51]  Khaled Shaalan,et al.  A Survey of Arabic Text Mining , 2018 .

[52]  Anol Bhattacherjee,et al.  Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..

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

[54]  Chang-Hyun Jin,et al.  Adoption of e-book among college students: The perspective of an integrated TAM , 2014, Comput. Hum. Behav..

[55]  M. Alshurideh.  Do We Care about What We Buy or Eat? A Practical Study of the Healthy Foods Eaten by Jordanian Youth , 2014 .

[56]  Mostafa Al-Emran,et al.  Students Acceptance of Google Classroom: An Exploratory Study using PLS-SEM Approach , 2018, Int. J. Emerg. Technol. Learn..

[57]  Eunil Park,et al.  Reading experiences influencing the acceptance of e-book devices , 2015, Electron. Libr..

[58]  Z. Obeidat,et al.  The Impact of E-Service Quality and E-Loyalty on Online Shopping: Moderating Effect of E-Satisfaction and E-Trust , 2017 .

[59]  Vitaliy Mezhuyev,et al.  Technology Acceptance Model in M-learning context: A systematic review , 2018, Comput. Educ..

[60]  Khaled Shaalan,et al.  A Survey of Intelligent Language Tutoring Systems , 2014, 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

[61]  Ying-Feng Kuo,et al.  Towards an understanding of the behavioral intention to use 3G mobile value-added services , 2009, Comput. Hum. Behav..

[62]  Khaled Shaalan,et al.  Mining Social Media Text: Extracting Knowledge from Facebook , 2017 .

[63]  Kenneth C. C. Yang,et al.  Exploring factors affecting the adoption of mobile commerce in Singapore , 2005, Telematics Informatics.