Behavioral Intention to Adopt Digital Library by the Undergraduates

ABSTRACT The purpose of this research is to investigate the factors that affect undergraduates' behavioral intention to use digital library among the private universities in Malaysia. The target respondents are undergraduates from Malaysian private universities. Questionnaires were distributed among 500 undergraduates through either online or face-to-face method. Reliability test, normality test, Pearson Correlation Coefficient analysis, and Multiple Linear Regression (MLR) were carried out for data analysis. Performance expectancy, social influence, facilitating conditions, hedonic motivation, habit, and information quality had a positive and significant association with behavioral intention to adopt a digital library except for effort expectancy. This research successfully reinforced that the inspiration to ameliorate Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) by synthesis of Information Systems Success Model (ISSM). This proposed framework with a combination of ISSM and UTAUT 2 has enhanced the fitness of UTAUT 2. Universities that have yet to implement digital library can comprehend undergraduates' needs better by considering all the significant factors to develop a digital library. The universities with the digital library may also notice the important features of the existing digital library that should be maintained and upgraded constantly so that they can fulfil undergraduates' requirements.

[1]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[2]  Jason Hughes.  SAGE Internet Research Methods , 2012 .

[3]  Mayank Trivedi,et al.  Digital Libraries: Functionality, Usability, and Accessibility , 2010 .

[4]  Mohamad Noorman Masrek,et al.  Evaluating Digital Library Effectiveness: A Survey at University of Tehran , 2013, 2013 International Conference on Advanced Computer Science Applications and Technologies.

[5]  A. A. Maiyaki,et al.  Determinants of customer behavioural responses: A pilot study , 2010 .

[6]  Emmanuel E. Baro,et al.  Information seeking behaviour of undergraduate students in the humanities in three universities in Nigeria , 2010 .

[7]  JungWon Yoon,et al.  The use of an online forum for health information by married Korean women in the United States , 2012, Inf. Res..

[8]  D. Peak,et al.  Searching for New Answers: The Application of Task-Technology Fit to E-Textbook Usage. , 2015 .

[9]  Sung-Joon Yoon,et al.  Predicting the use of online information services based on a modified UTAUT model , 2014, Behav. Inf. Technol..

[10]  Tiago Oliveira,et al.  Understanding the impact of m-banking on individual performance: DeLone & McLean and TTF perspective , 2016, Comput. Hum. Behav..

[11]  R. Masa’deh,et al.  Modeling Factors Affecting Student’s Usage Behaviour of E-Learning Systems in Lebanon , 2016 .

[12]  Indrawati,et al.  The use of modified theory of acceptance and use of technology 2 to predict prospective users' intention in adopting TV Streaming , 2015 .

[13]  I. Chengalur-Smith,et al.  Factors influencing students' use of a library Web portal: Applying course-integrated information literacy instruction as an intervention , 2015, Internet High. Educ..

[14]  Mehwish Waheed,et al.  The influence of learning value on learning management system use , 2016 .

[15]  Aaron Bere,et al.  Exploring Determinants for Mobile Learning User Acceptance and Use: An Application of UTAUT , 2014, 2014 11th International Conference on Information Technology: New Generations.

[16]  Hyunjin Lim,et al.  Investigating the Determinants of Mobile Learning Acceptance in Korea Using UTAUT2 , 2013, ICSLE.

[17]  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.

[18]  N. Elias,et al.  Examining the effectiveness of using web-based learning for gifted students: Jordan as case study , 2015 .

[19]  Krista M. Soria,et al.  The Impact of Academic Library Resources on Undergraduates' Degree Completion , 2017, Coll. Res. Libr..

[20]  Ibrahim Usman Alhaji,et al.  Digitization of past question papers, dissertations and theses: A case study of 30 Nigerian university libraries , 2007 .

[21]  Ephraim R. McLean,et al.  Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model , 2004, Int. J. Electron. Commer..

[22]  H. Zaied,et al.  An Integrated Success Model for Evaluating Information System in Public Sectors , 2012 .

[23]  Faizan Ali,et al.  Factors affecting acceptance & use of ReWIND: Validating the extended unified theory of acceptance and use of technology , 2015, Interact. Technol. Smart Educ..

[24]  Boryung Ju,et al.  Examining user‐driven factors for intentions to use video digital libraries , 2015, ASIST.

[25]  Yi-Shun Wang.  Assessing e‐commerce systems success: a respecification and validation of the DeLone and McLean model of IS success , 2008, Inf. Syst. J..

[26]  Yueh-Min Huang,et al.  Integrating ISSM into TAM to enhance digital library services: A case study of the Taiwan Digital Meta-Library , 2016, Electron. Libr..

[27]  Yu-Hui Chen.  Testing the impact of an information literacy course: Undergraduates' perceptions and use of the university libraries' web portal , 2015 .

[28]  DečmanMitja.  Modeling the acceptance of e-learning in mandatory environments of higher education , 2015 .

[29]  Krystyna K. Matusiak.  Studying information behavior of image users: An overview of research methodology in LIS literature, 2004–2015 , 2017 .

[30]  Xiaoyu Xu.  Understanding Users’ Continued Use of Online Games: An Application of UTAUT2 in Social Network Games , 2014, MMEDIA 2014.

[31]  Yi Ding,et al.  Using event related potentials to identify a user's behavioural intention aroused by product form design. , 2016, Applied ergonomics.

[32]  Swati Gupta,et al.  A Multiple Regression Technique in Data Mining , 2015 .

[33]  C. Mann,et al.  Power Issues in Internet Research , 2000 .

[34]  Adnan Jamaludin,et al.  Considering race, mode of study, university and academic structure differences on behavioural intention to use information systems , 2011, 2011 IEEE Colloquium on Humanities, Science and Engineering.

[35]  Josphine Chepchirchir,et al.  Effects of Brand Quality, Brand Prestige on Brand Purchase Intention of Mobile Phone Brands: Empirical Assessment from Kenya , 2015 .

[36]  M. Kissaka,et al.  Factors Influencing Teachers’ Use of Multimedia Enhanced Content in Secondary Schools in Tanzania , 2016 .

[37]  Hossein Mohammadi,et al.  Investigating users' perspectives on e-learning: An integration of TAM and IS success model , 2015, Comput. Hum. Behav..

[38]  Aliyu Olayemi Abdullateef,et al.  Determinants of Moodle 1.9 Online Learning-Zone Services Adoption , 2014 .

[39]  T. Thomas,et al.  The utility of the UTAUT model in explaining mobile learning adoption in higher education in Guyana , 2013 .

[40]  Mutaz M. Al-Debei,et al.  Measuring web portals success: a respecification and validation of the DeLone and McLean information systems success model , 2013, Int. J. Bus. Inf. Syst..

[41]  Chien-Wen David Chen,et al.  Understanding consumer intention in online shopping: a respecification and validation of the DeLone and McLean model , 2009, Behav. Inf. Technol..

[42]  Schools’ Readiness towards Change , 2015 .

[43]  Weiwei Yan,et al.  An empirical study of factors influencing user perception of university digital libraries in China , 2014 .

[44]  Mohammad Sulieman Awwad,et al.  Electronic library services acceptance and use: An empirical validation of unified theory of acceptance and use of technology , 2015, Electron. Libr..

[45]  T. Farahat.  Applying the Technology Acceptance Model to Online Learning in the Egyptian Universities , 2012 .

[46]  Siti Zabedah Saidin,et al.  Internal Audit Effectiveness: Data Screening and Preliminary Analysis , 2014 .

[47]  Kuo-Chien Chang,et al.  Effect of servicescape on customer behavioral intentions: Moderating roles of service climate and employee engagement , 2016 .

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

[49]  Hei-Chia Wang,et al.  Assessing e-learning 2.0 system success , 2011, Comput. Educ..

[50]  E. Carvajal-Trujillo,et al.  Online drivers of consumer purchase of website airline tickets , 2013 .

[51]  Jeffrey A. Clements.  Beyond Habit: The Role of Sunk Costs on Developing Automatic IS Use Behaviors , 2016 .

[52]  I. Qureshi,et al.  M-learning adoption: A perspective from a developing country , 2012 .

[53]  Shamshad Ahmed,et al.  The impact of digital library resources on scholarly communication: challenges and opportunities for university libraries in Pakistan , 2013 .

[54]  N K Sheeja.  Undergraduate students’ perceptions of digital library: A case study , 2010 .

[55]  O. Gelo,et al.  Psychotherapy Research: Foundations, Process, and Outcome , 2015 .

[56]  Shuenn-Ren Cheng,et al.  Exploration of usage behavioral model construction for university library electronic resources , 2015, Electron. Libr..

[57]  Chiao-Chen Chang,et al.  Library mobile applications in university libraries , 2013, Libr. Hi Tech.

[58]  Soojung Kim,et al.  Developing a digital library model for virtual universities in Korea , 2016 .

[59]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[60]  R. Raisamo,et al.  Investigating students' behavioural intention to adopt and use mobile learning in higher education in East Africa , 2014 .

[61]  Jiuchang Wei,et al.  Anti-nuclear behavioral intentions: The role of perceived knowledge, information processing, and risk perception , 2016 .

[62]  Sanjay Misra,et al.  Acceptance and Use of E-Learning Based on Cloud Computing: The Role of Consumer Innovativeness , 2014, ICCSA.

[63]  Shweta Chopra,et al.  Modeling Intermediary Satisfaction with Mandatory Adoption of E-government Technologies for Food Distribution , 2016 .

[64]  Abdullahi Hassan Gorondutse,et al.  Effect of Business Social Responsibility (BSR) on Performance of SMEs: Data Screening and Preliminary Analysis , 2014 .

[65]  P. Solli,et al.  Longitudinal studies. , 2015, Journal of thoracic disease.

[66]  Thanh D. Nguyen,et al.  Acceptance and Use of Information System: E-Learning Based on Cloud Computing in Vietnam , 2014, ICT-EurAsia.

[67]  Olusola Bamidele Bamigboye,et al.  Students' Level of Study and User of Library Resources in Nigerian Universities: A Comparative Study , 2011 .

[68]  Adnan Jamaludin,et al.  Intention to use digital library based on modified UTAUT model: Perspectives of malaysian postgraduate students , 2011 .

[69]  Moez Bellaaj,et al.  THE CONTINUED USE OF E-LEARNING SYSTEM : AN EMPIRICAL INVESTIGATION USING UTAUT MODEL AT THE UNIVERSITY OF TABUK , 2015 .

[70]  Edward A. Fox,et al.  Results of a digital library curriculum field test , 2015, International Journal on Digital Libraries.

[71]  Jusuf Šehanović,et al.  MEASURING THE SUCCESS OF E-LIBRARY IMPLEMENTATION: STUDENTS PERCEPTIONS AND USE , 2014 .

[72]  Bens Pardamean,et al.  Assessing User Acceptance toward Blog Technology Using the UTAUT Model , 2012 .

[73]  Manimekalai Jambulingam,et al.  Behavioural Intention to Adopt Mobile Technology among Tertiary Students , 2013 .

[74]  Honglei Li,et al.  Antecedents of Behavioral Intention of Virtual Community Participation: An Empirical Study , 2008, AMCIS.

[75]  Soohyung Joo,et al.  Information resource selection of undergraduate students in academic search tasks , 2012, Inf. Res..

[76]  Pedro Monge-Lozano,et al.  Factors that Influence the Perceived Advantages and Relevance of Facebook as a Learning Tool: An Extension of the UTAUT. , 2014 .

[77]  Mutawakilu Adisa Tiamiyu,et al.  Determinants of e-library services’ use among university students: A study of John Harris Library, University of Benin, Nigeria , 2017, J. Libr. Inf. Sci..

[78]  Kuei-I Lee.  Understanding Taiwan Seniors’ Motivation to Consume Food-Away-From-Home , 2016 .

[79]  Said S. Al-Gahtani,et al.  Empirical investigation of e-learning acceptance and assimilation: A structural equation model , 2016 .

[81]  Mohamad Noorman Masrek,et al.  Library Usage of Medical Students: A Comparative Analysis of First Year and Third Year Students in Universiti Putra Malaysia , 2014 .

[82]  N. Evans,et al.  Modelling the acceptance and use of electronic learning at the University of Zululand , 2016 .

[83]  Shuiqing Yang,et al.  Understanding Undergraduate Students' Adoption of Mobile Learning Model: A Perspective of the Extended UTAUT2 , 2013 .

[84]  Maidul Islam,et al.  Usage of a digital library system at a private university library in Bangladesh , 2015 .

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

[86]  Kuei-l,et al.  Understanding Taiwan Seniors＇ Motivation to Consume Food-Away-From-Home , 2016 .

[87]  Y. Don,et al.  Preservice Teachers' Acceptance of Learning Management Software: An Application of the UTAUT2 Model. , 2013 .

[88]  N. Gogtay,et al.  Biostatistics Series Module 2: Overview of Hypothesis Testing , 2016, Indian journal of dermatology.

[89]  Mitja Decman,et al.  Modeling the acceptance of e-learning in mandatory environments of higher education: The influence of previous education and gender , 2015, Comput. Hum. Behav..

[90]  Edda Tandi Lwoga,et al.  Antecedents of continued usage intentions of web-based learning management system in Tanzania , 2015 .

[91]  Jim Ryan,et al.  Faculty Use of Established and Emerging Technologies in Higher Education: A Unified Theory of Acceptance and Use of Technology Perspective , 2013 .

[92]  Lim Li Yean,et al.  Engineering Students ’ Acceptance of mLearning in Formal English Language Learning : Application of UTAUT Model , 2014 .

[93]  Tiago Oliveira,et al.  Electronic Health Record Portal Adoption by Health Care Consumers - Proposal of a New Adoption Model , 2014, WEBIST.

[94]  Choong-C. Lee,et al.  Understanding the Use of Location-Based Service Applications: Do Privacy Concerns Matter? , 2013 .

[95]  Vuda Sreenivasarao,et al.  A Case Study of Acceptance and Use of ElectronicLibrary Services in Universities Based onSO-UTAUT Model , 2013 .

[96]  Hager Khechine,et al.  UTAUT Model for Blended Learning: The Role of Gender and Age in the Intention to Use Webinars. , 2014 .

[98]  Steve Drew,et al.  Mobile Learning-system usage: Scale development and empirical tests , 2014 .