Understanding the effect of e-learning on individual performance: The role of digital literacy

With the diffusion of easy-to-use Web 2.0 tools, such as podcasts, blogs and wikis, e-learning has become a popular mechanism for individual training. While individuals use these tools in the hope that their training will improve their performance, this relationship is not a given. This paper proposes that an individual's level of digital literacy affects her performance through its impact on her performance and effort expectations. To explain the influence of digital literacy on the intention of individuals to continue using e-learning and their performance, we integrate the concept of digital literacy with the Unified Theory of Acceptance and Use of Technology (UTAUT) and test our model using survey data from New Zealand accountants working in small and medium-sized enterprises (SMEs). The results indicate that these relationships were significant: digital literacy on users' performance and effort expectations, performance expectations on users' intentions to continue using Web 2.0 tools, and continuance intention on performance. These findings suggest that individual digital literacy facilitates the use of e-learning, and should be considered when examining the impact of the latter on performance. We study how digital literacy affects e-learning use for professional development.The study asks New Zealand accountants about their Web 2.0 use.Digital literacy has an impact on users' performance and effort expectations.Performance expectations affect continuance intention, which affects performance.Organizational support does not support individual intention to continue using IT.

[1]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

[2]  Randolph B. Cooper,et al.  Exploring the Core Concepts of Media Richness Theory: The Impact of Cue Multiplicity and Feedback Immediacy on Decision Quality , 2003, J. Manag. Inf. Syst..

[3]  David Buckingham,et al.  Defining digital literacy , 2010 .

[4]  Iris Vessey,et al.  Cognitive Fit: A Theory‐Based Analysis of the Graphs Versus Tables Literature* , 1991 .

[5]  Jason Bennett Thatcher,et al.  An Empirical Examination of Individual Traits as Antecedents to Computer Anxiety and Computer Self-Efficacy , 2002, MIS Q..

[6]  Zehra Ozdilek,et al.  Pre-service teachers’ perceptions about web 2.0 technologies , 2010 .

[7]  José Ramón Gil-García,et al.  The role of IT literacy in defining digital divide policy needs , 2011, Gov. Inf. Q..

[8]  Marcia J. Simmering,et al.  E-learning: emerging uses, empirical results and future directions , 2003 .

[9]  P. Gilster Digital Literacy , 1997, Encyclopedia of Education and Information Technologies.

[10]  Rodrigo Sandoval-Almazan,et al.  Promoting productivity in manufacturing companies in developing countries: An information system for managing and querying knowledge bases in the automotive industry in Mexico , 2007 .

[11]  Jay F. Nunamaker,et al.  Can e-learning replace classroom learning? , 2004, CACM.

[12]  Suha AlAwadhi,et al.  The Use of the UTAUT Model in the Adoption of E-Government Services in Kuwait , 2008, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008).

[13]  Chin-Lung Hsu,et al.  Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation , 2008, Inf. Manag..

[14]  William Lewis,et al.  PLS, Small Sample Size, and Statistical Power in MIS Research , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[15]  Luis L. Martins,et al.  A Model of Business School Students' Acceptance of a Web-Based Course , 2004 .

[16]  Sirje Virkus,et al.  Information literacy in Europe: a literature review , 2003, Inf. Res..

[17]  Chorng-Shyong Ong,et al.  Factors affecting engineers' acceptance of asynchronous e-learning systems in high-tech companies , 2004, Inf. Manag..

[18]  Barbara D. Klein,et al.  User evaluations of IS as surrogates for objective performance , 2000, Inf. Manag..

[19]  Diane J. Janvrin,et al.  What factors influence auditors' use of computer-assisted audit techniques? ☆ ☆☆ , 2014 .

[20]  Meng Chang Chen,et al.  Extending the TAM model to explore the factors that affect Intention to Use an Online Learning Community , 2010, Comput. Educ..

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

[22]  Yi-Chuan Hsieh,et al.  A model of organizational employees' e-learning systems acceptance , 2011, Knowl. Based Syst..

[23]  William R. King,et al.  A meta-analysis of the technology acceptance model , 2006, Inf. Manag..

[24]  Peter Bodorik,et al.  Supporting the e-business readiness of small and medium-sized enterprises: approaches and metrics , 2002, Internet Res..

[25]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[26]  Magid Igbaria,et al.  Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model , 1997, MIS Q..

[27]  H. Kanuka,et al.  Exploring the effects of personality type on perceived satisfaction with web-based learning in continuing professional development , 2003 .

[28]  Glyn Lawson,et al.  The design and implementation of knowledge management systems and e-learning for improved occupational health and safety in small to medium sized enterprises , 2013 .

[29]  Wynne W. Chin How to Write Up and Report PLS Analyses , 2010 .

[30]  Wynne W. Chin,et al.  Structural equation modeling analysis with small samples using partial least squares , 1999 .

[31]  Hassan M. Selim Ahmed,et al.  Hybrid E-Learning Acceptance Model: Learner Perceptions. , 2010 .

[32]  David Bawden,et al.  Information and digital literacies: a review of concepts , 2001, J. Documentation.

[33]  Eduardo Salas,et al.  E-Learning in Organizations , 2005 .

[34]  Allan Martin,et al.  Digital Literacies for Learning , 2006 .

[35]  Hsi-Peng Lu,et al.  The impact of individual differences on e-learning system satisfaction: A contingency approach , 2010, Br. J. Educ. Technol..

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

[37]  Hague,et al.  Digital literacy across the curriculum , 2011 .

[38]  June Lu,et al.  Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology , 2005, J. Strateg. Inf. Syst..

[39]  Kennon M. Sheldon,et al.  PERSONALITY PROCESSES AND INDIVIDUAL DIFFERENCES Motivating Learning, Performance, and Persistence: The Synergistic Effects of Intrinsic Goal Contents and Autonomy-Supportive Contexts , 2004 .

[40]  Angela Hook,et al.  Creating a Learning Community in Today's World: How Blogging Can Facilitate Continuing Professional Development and International Learning , 2009 .

[41]  Kamil Md. Idris,et al.  E‐learning adoption: the role of relative advantages, trialability and academic specialisation , 2009 .

[42]  Wynne W. Chin The partial least squares approach for structural equation modeling. , 1998 .

[43]  Keenan A. Pituch,et al.  The influence of system characteristics on e-learning use , 2006, Comput. Educ..

[44]  Minhong Wang,et al.  Integrating organizational, social, and individual perspectives in Web 2.0-based workplace e-learning , 2011, Inf. Syst. Frontiers.

[45]  Mun Y. Yi,et al.  Understanding information technology acceptance by individual professionals: Toward an integrative view , 2006, Inf. Manag..

[46]  Robert W. Zmud,et al.  The Nature and Determinants of IT Acceptance, Routinization, and Infusion , 1993, Diffusion, Transfer and Implementation of Information Technology.

[47]  T. C. Edwin Cheng,et al.  The role of perceived user-interface design in continued usage intention of self-paced e-learning tools , 2009, Comput. Educ..

[48]  Eric T. G. Wang,et al.  Understanding Web-based learning continuance intention: The role of subjective task value , 2008, Inf. Manag..

[49]  Yung-Ming Cheng,et al.  Antecedents and consequences of e‐learning acceptance , 2011, Inf. Syst. J..

[50]  Janet Fulk,et al.  Social construction of communication technology , 1993 .

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

[52]  Chang Liu,et al.  Technology acceptance model for wireless Internet , 2003, Internet Res..

[53]  Detmar W. Straub,et al.  Measuring System Usage: Implications for IS Theory Testing , 1995 .

[54]  Wilfried Admiraal,et al.  E-Learning in Small and Medium-sized Enterprises across Europe , 2009 .

[55]  J. Michael Pearson,et al.  Internet banking in Jordan: The unified theory of acceptance and use of technology (UTAUT) perspective , 2007, J. Syst. Inf. Technol..

[56]  Ruimin Shen,et al.  Why web 2.0 is good for learning and for research: principles and prototypes , 2008, WWW.

[57]  Laura Servage Strategizing for workplace e‐learning: some critical considerations , 2005 .

[58]  Sirkka L. Jarvenpaa,et al.  Consumer trust in an Internet store , 2000, Inf. Technol. Manag..

[59]  E. Rogers Diffusion of Innovations , 1962 .

[60]  Kyu Yon Lim,et al.  Investigating the structural relationships among organisational support, learning flow, learners' satisfaction and learning transfer in corporate e-learning , 2011, Br. J. Educ. Technol..

[61]  Rajeev Sharma,et al.  Estimating the effect of common method variance: the method-method pair technique with an illustration from TAM research , 2009 .

[62]  Robert LaRose,et al.  Internet Self-Efficacy and the Psychology of the Digital Divide , 2006, J. Comput. Mediat. Commun..

[63]  Tsung-Hsien Kuo,et al.  How can one amplify the effect of e-learning? An examination of high-tech employees' computer attitude and flow experience , 2010, Comput. Hum. Behav..

[64]  Raafat George Saadé,et al.  The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model , 2005, Inf. Manag..

[65]  Anna MacVicar,et al.  Employees' pre‐implementation attitudes and perceptions to e‐learning: A banking case study analysis , 2004 .

[66]  Jeffrey Alan Greene,et al.  Measuring critical components of digital literacy and their relationships with learning , 2014, Comput. Educ..

[67]  A Pingsmann,et al.  Sample size and statistical power. , 2000, The Journal of bone and joint surgery. American volume.

[68]  Susan K. Lippert,et al.  Utilization of information technology: examining cognitive and experiential factors of post-adoption behavior , 2005, IEEE Transactions on Engineering Management.

[69]  Sirkka L. Jarvenpaa,et al.  Consumer Trust in an Internet Store: A Cross-Cultural Validation , 2006, J. Comput. Mediat. Commun..

[70]  Viswanath Venkatesh,et al.  Predicting Collaboration Technology Use: Integrating Technology Adoption and Collaboration Research , 2010, J. Manag. Inf. Syst..

[71]  Eamonn Murphy,et al.  Corporate eLearning: Human resource development implications for large and small organizations , 2006 .

[72]  Magid Igbaria,et al.  Information systems continuance intention of web-based applications customers: The case of online banking , 2008, Inf. Manag..

[73]  J. Ryan,et al.  Continuous professional development along the continuum of lifelong learning. , 2003, Nurse education today.

[74]  Nian-Shing Chen,et al.  The effects of organizational learning environment factors on e-learning acceptance , 2012, Comput. Educ..

[75]  Marylène Gagné,et al.  Understanding e-learning continuance intention in the workplace: A self-determination theory perspective , 2008, Comput. Hum. Behav..

[76]  Hui-Tzu Min,et al.  Understanding continuance intention of knowledge creation using extended expectation–confirmation theory: an empirical study of Taiwan and China online communities , 2010, Behav. Inf. Technol..

[77]  Tawei Wang,et al.  Eight Issues on Audit Data Analytics We Would Like Researched , 2015, J. Inf. Syst..

[78]  Minhong Wang,et al.  A Performance-Oriented Approach to E-Learning in the Workplace , 2010, J. Educ. Technol. Soc..

[79]  Heshan Sun,et al.  The role of moderating factors in user technology acceptance , 2006, Int. J. Hum. Comput. Stud..

[80]  Yi-Shun Wang,et al.  Why do people use information kiosks? A validation of the Unified Theory of Acceptance and Use of Technology , 2009, Gov. Inf. Q..

[81]  Vallabh Sambamurthy,et al.  Sources of Influence on Beliefs about Information Technolgoy Use: An Empirical Study of Knowledge Workers , 2003, MIS Q..

[82]  Jyun-Cheng Wang,et al.  Social interaction and continuance intention in online auctions: A social capital perspective , 2009, Decis. Support Syst..

[83]  Sean B. Eom,et al.  Student satisfaction and learning outcomes in e-learning : an introduction to empirical research , 2011 .

[84]  Rob Kling,et al.  Reconceptualizing Users as Social Actors in Information Systems Research , 2003, MIS Q..

[85]  Erik M. van Raaij,et al.  The acceptance and use of a virtual learning environment in China , 2008, Comput. Educ..

[86]  Wynne W. Chin,et al.  A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study , 2003, Inf. Syst. Res..

[87]  Vivian W. Mott The Development of Professional Expertise in the Workplace. , 2000 .

[88]  Eszter Hargittai,et al.  Survey Measures of Web-Oriented Digital Literacy , 2005 .

[89]  E. Hargittai Digital Na(t)ives? Variation in Internet Skills and Uses among Members of the “Net Generation”* , 2010 .

[90]  Pin Luarn,et al.  Predicting consumer intention to use mobile service , 2006, Inf. Syst. J..

[91]  Sally Sambrook,et al.  E‐learning in small organisations , 2003 .

[92]  A. Wise,et al.  The Effects of Teacher Social Presence on Student Satisfaction, Engagement, and Learning , 2004, ICLS.

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

[94]  Yoram Eshet-Alkalai,et al.  Digital Literacy: A Conceptual Framework for Survival Skills in the Digital era , 2004 .

[95]  Kwok Kee Wei,et al.  Understanding Knowledge Management Systems Continuance: A Decomposed Model , 2007, PACIS.

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

[97]  Sven Laumer,et al.  Who influences whom? Analyzing workplace referents' social influence on IT adoption and non-adoption , 2009, J. Inf. Technol..

[98]  T. Wentling,et al.  Factors associated with transfer of training in workplace e‐learning , 2007 .

[99]  John Hulland,et al.  Use of partial least squares (PLS) in strategic management research: a review of four recent studies , 1999 .

[100]  Lori Baker-Eveleth,et al.  The impact of information technology on individual and firm marketing performance , 2007, Behav. Inf. Technol..

[101]  Henry M. Kim,et al.  Organizational Social Computing and Employee Job Performance: The Knowledge Access Route , 2011, 2011 44th Hawaii International Conference on System Sciences.

[102]  Kwok Kee Wei,et al.  What drives continued knowledge sharing? An investigation of knowledge-contribution and -seeking beliefs , 2009, Decis. Support Syst..

[103]  Dowming Yeh,et al.  What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction , 2008, Comput. Educ..

[104]  Bob Little Achieving high performance through e‐learning , 2001 .

[105]  Steven Hornik,et al.  An empirical examination of factors contributing to the creation of successful e-learning environments , 2008, Int. J. Hum. Comput. Stud..

[106]  J. Arbaugh,et al.  Technological and Structural Characteristics, Student Learning and Satisfaction with Web-Based Courses , 2002 .

[107]  Tim O'Reilly,et al.  What is Web 2.0: Design Patterns and Business Models for the Next Generation of Software , 2007 .

[108]  Tony K. Quon,et al.  The relationship between learning capability and organizational performance: A meta‐analytic examination , 2012 .

[109]  Paul Jen-Hwa Hu,et al.  Determinants of service quality and continuance intention of online services: The case of eTax , 2009 .

[110]  Shu-Sheng Liaw,et al.  Investigating students' perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the Blackboard system , 2008, Comput. Educ..

[111]  Rajiv Kishore,et al.  How robust is the UTAUT instrument?: a multigroup invariance analysis in the context of acceptance and use of online community weblog systems , 2006, SIGMIS CPR '06.

[112]  Mary P. Kosarzycki,et al.  Emerging themes in distance learning research and practice: some food for thought , 2002 .

[113]  Narasimha Bolloju,et al.  Explaining the intentions to share and reuse knowledge in the context of IT service operations , 2005, J. Knowl. Manag..

[114]  Youngjin Yoo,et al.  Media and Group Cohesion: Relative Influences on Social Presence, Task Participation, and Group Consensus , 2001, MIS Q..