The adoption of university library Web site resources: A multigroup analysis

University libraries invest a massive amount of resources in digitizing information for the Web, yet there is growing concern that much of this information is being underutilized. The present study uses the technology acceptance model (TAM) to investigate university library website resources (ULWR) usage. We categorize users based on academic roles and then analyze them as subgroups in order to observe different adoption patterns across groups. A total of 299 usable responses was collected from four different universities and across three populations: undergraduate, master, and doctoral student-faculty groups. The findings show that different library users indeed access ULWR for different reasons, resulting in a need for tailored managerial efforts. Overall, the extended TAM explains undergraduate students' usage best; the explanatory power of the model is significantly lower for the doctoral student-faculty group. Some of the findings challenge results reported in TAM research in other fields. The unexpected findings may result from the application of the model to a different context. Detailed theoretical implications and managerial guidance are offered. © 2010 Wiley Periodicals, Inc.

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

[2]  Oded Nov,et al.  Resistance to change and the adoption of digital libraries: An integrative model , 2009 .

[3]  Elena Karahanna,et al.  Reconceptualizing Compatability Beliefs in Technology Acceptance Research , 2006, MIS Q..

[4]  Yong-Mi Kim Validation of psychometric research instruments: The case of information science , 2009 .

[5]  Viswanath Venkatesh,et al.  Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior , 2000, MIS Q..

[6]  Cynthia M. Jackson,et al.  Toward an Understanding of the Behavioral Intention to Use an Information System , 1997 .

[7]  Detmar W. Straub,et al.  Validation Guidelines for IS Positivist Research , 2004, Commun. Assoc. Inf. Syst..

[8]  Joemon M. Jose,et al.  How users assess Web pages for information seeking , 2005, J. Assoc. Inf. Sci. Technol..

[9]  Rosemary Peter Green,et al.  Doctoral Students' Engagement with Information: An American-Australian Perspective , 2007 .

[10]  Charles T. Meadow,et al.  A study of user performance and attitudes with information retrieval interfaces , 1995 .

[11]  R. Bagozzi,et al.  Representing and testing organizational theories: A holistic construal. , 1982 .

[12]  Jean Donham,et al.  Perspectives on … developing a culture of collaboration: librarian as consultant , 2004 .

[13]  Anthony J. Onwuegbuzie,et al.  Identifying Library Anxiety through Students' Learning-Modality Preferences , 1999, The Library Quarterly.

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

[15]  Jeonghyun Kim,et al.  Task as a Context of Information Seeking: An Investigation of Daily Life Tasks on the Web , 2008 .

[16]  Jakub Swacha,et al.  The Efficient Storage of Text Documents in Digital Libraries , 2009 .

[17]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[18]  Ritu Agarwal,et al.  Are Individual Differences Germane to the Acceptance of New Information Technologies , 1999 .

[19]  Christine L. Borgman,et al.  Comparing faculty information seeking in teaching and research: Implications for the design of digital libraries: Research Articles , 2005 .

[20]  Detmar W. Straub,et al.  Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs , 1999, MIS Q..

[21]  Jong-Ae Kim Toward an understanding of Web-based subscription database acceptance , 2006 .

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

[23]  J. Janes Other people's judgments: a comparison of users' and others' judgments of document relevance, topicality, and utility , 1994 .

[24]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[25]  Michael J. Gallivan,et al.  Does Information Technology Training Really Matter? A Social Information Processing Analysis of Coworkers' Influence on IT Usage in the Workplace , 2005, J. Manag. Inf. Syst..

[26]  Yuelin Li Exploring the relationships between work task and search task in information search , 2009 .

[27]  Barbara M. Wildemuth,et al.  The effects of domain knowledge on search tactic formulation , 2004, J. Assoc. Inf. Sci. Technol..

[28]  Sheila Corrall,et al.  Personalized service? Changing the role of the government librarian , 2007, J. Inf. Sci..

[29]  Catherine T. Atwong,et al.  Integrating Information Literacy into Business Education: A Successful Case of Faculty-Librarian Collaboration , 2008 .

[30]  M. Bergström,et al.  Impact of prior knowledge of informational content and organization on learning search principles in a database , 1988 .

[31]  Soon Ang,et al.  Work Outcomes and Job Design for Contract Versus Permanent Information Systems Professionals on Software Development Teams , 2001, MIS Q..

[32]  Christine L. Borgman,et al.  Comparing Faculty Information Seeking in Teaching and Research : Implications for the Design of Digital Libraries , 2005 .

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

[34]  Matthew K. O. Lee,et al.  Digital Inclusiveness--Longitudinal Study of Internet Adoption by Older Adults , 2006, J. Manag. Inf. Syst..

[35]  Francisco Muñoz-Leiva,et al.  Web Acceptance Model (WAM): Moderating effects of user experience , 2007, Inf. Manag..

[36]  Claudio R. Nigg,et al.  The Theory of Planned Behavior Within the Stages of the Transtheoretical Model: Latent Structural Modeling of Stage-Specific Prediction Patterns in Physical Activity , 2007 .

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

[38]  John H. Heinrichs,et al.  Determining factors of academic library Web site usage , 2007 .

[39]  Detmar W. Straub,et al.  Introduction to the AIS Code of Research Conduct , 2004, Commun. Assoc. Inf. Syst..

[40]  Rolph E. Anderson,et al.  Multivariate Data Analysis (7th ed. , 2009 .

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

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

[43]  Jonathan W. Palmer,et al.  Web Site Usability, Design, and Performance Metrics , 2002, Inf. Syst. Res..

[44]  K. Jöreskog Structural analysis of covariance and correlation matrices , 1978 .

[45]  Daniel P. Rutledges,et al.  An Assessment of Library Education Contributions to Business Student Learning , 2003 .

[46]  Thompson S. H. Teo,et al.  Intrinsic and extrinsic motivation in Internet usage , 1999 .

[47]  Donald G. Frank,et al.  Information consulting: The key to success in academic libraries , 2001 .

[48]  Pamela Harpel-Burke,et al.  Library homepage design at medium-sized universities: A comparison to commercial homepages via Nielsen and Tahir , 2005, OCLC Syst. Serv..

[49]  Maria A. Jankowska,et al.  Identifying University Professors' Information Needs in the Challenging Environment of Information and Communication Technologies , 2004 .

[50]  Pertti Vakkari,et al.  Perceived influence of the use of electronic information resources on scholarly work and publication productivity , 2008 .

[51]  M. Markus Electronic Mail as the Medium of Managerial Choice , 1994 .

[52]  Namkee Park,et al.  User acceptance of a digital library system in developing countries: An application of the Technology Acceptance Model , 2009, Int. J. Inf. Manag..

[53]  Sharon L. Bostick The development and validation of the Library Anxiety Scale , 1992 .

[54]  B. Byrne Testing for Multigroup Invariance Using AMOS Graphics: A Road Less Traveled , 2004 .

[55]  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..

[56]  Kar Yan Tam,et al.  Determinants of User Acceptance of Digital Libraries: An Empirical Examination of Individual Differences and System Characteristics , 2002, J. Manag. Inf. Syst..

[57]  Geoffrey S. Hubona,et al.  Individual differences and usage behavior: revisiting a technology acceptance model assumption , 2005, DATB.

[58]  Kwok Kee Wei,et al.  Understanding competing application usage with the theory of planned behavior , 2006, J. Assoc. Inf. Sci. Technol..

[59]  Jill Markgraf,et al.  Collaboration Between Distance Education Faculty and the Library , 2002 .

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

[61]  S. Barley The alignment of technology and structure through roles and networks. , 1990, Administrative science quarterly.

[62]  Massimo Melucci,et al.  Making digital libraries effective: Automatic generation of links for similarity search across hyper-textbooks , 2004, J. Assoc. Inf. Sci. Technol..

[63]  Peter M. Bentler,et al.  EQS : structural equations program manual , 1989 .

[64]  Ritu Agarwal,et al.  The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies , 1997 .

[65]  Barbara Julie Amy Ray Fister,et al.  Aggregated Interdisciplinary Databases and the Needs of Undergraduate Researchers , 2008 .

[66]  Peter A. Todd,et al.  Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication , 1992, MIS Q..

[67]  Taemin Kim Park Toward a theory of user-based relevance: a call for a new paradigm of inquiry , 1994 .

[68]  B. Byrne The Maslach Burnout Inventory: Testing for factorial validity and invariance across elementary, intermediate and secondary teachers , 1993 .

[69]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[70]  Barbara M. Byrne,et al.  Structural equation modeling with EQS : basic concepts, applications, and programming , 2000 .

[71]  Amanda Spink,et al.  From Highly Relevant to Not Relevant: Examining Different Regions of Relevance , 1998, Inf. Process. Manag..

[72]  Clark N. Hallman Technology: Trigger for Change in Reference Librarianship. , 1990 .

[73]  Viswanath Venkatesh,et al.  Creation of Favorable User Perceptions: Exploring the Role of Intrinsic Motivation , 1999, MIS Q..

[74]  Henry C. Lucas,et al.  Technology Use and Performance: A Field Study of Broker Workstations* , 1999 .

[75]  Nicholas J. Belkin,et al.  A faceted approach to conceptualizing tasks in information seeking , 2008, Inf. Process. Manag..

[76]  Jane Keefer The hungry rats syndrome: library anxiety, information literacy, and the academic reference process , 1993 .

[77]  Janet H. Marler,et al.  Training and Effective Employee Information Technology Use , 2006 .

[78]  Beth Thomsett-Scott,et al.  How May We Help You? Online Education Faculty Tell Us What They Need from Libraries and Librarians , 2009 .

[79]  T. Glynn,et al.  New roles and opportunities for academic library liaisons: a survey and recommendations , 2003 .

[80]  Taryn Resnick,et al.  E-resources: transforming access services for the digital age , 2008, Libr. Hi Tech.

[81]  Paul Jen-Hwa Hu,et al.  Examining technology acceptance by school teachers: a longitudinal study , 2003, Inf. Manag..

[82]  Gordon B. Davis,et al.  Testing the Determinants of Microcomputer Usage via a Structural Equation Model , 1995, J. Manag. Inf. Syst..

[83]  L. Phillips,et al.  Structural Equation Modeling of Disability in Women with Fibromyalgia or Multiple Sclerosis , 2009, Western journal of nursing research.

[84]  Anna M Caroline Van Scoyoc,et al.  The Electronic Academic Library: Undergraduate Research Behavior in a Library Without Books , 2006 .

[85]  Nancy Patricia O'Brien,et al.  Assessing the Impact of Reference Services Provided to Undergraduate Students , 2005 .

[86]  Oded Nov,et al.  Users' personality and perceived ease of use of digital libraries: The case for resistance to change , 2008 .

[87]  Lotta Haglund,et al.  The Impact on University Libraries of Changes in Information Behavior Among Academic Researchers: A Multiple Case Study , 2008 .

[88]  M. R. Bowers,et al.  Interdisciplinary Synergy: A Partnership Between Business and Library Faculty and Its Effects on Students’ Information Literacy , 2009 .

[89]  Arun Rai,et al.  An assessment of the relationship between ISD leadership characteristics and IS innovation adoption in organizations , 2003, Inf. Manag..

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

[91]  Gary Marchionini Information Seeking in Full-Text End-User-Oriented Search Systems: The Roles of Domain and Search Expertise , 1993 .

[92]  Bernadette Szajna,et al.  Empirical evaluation of the revised technology acceptance model , 1996 .

[93]  Yan Zhang Undergraduate students' mental models of the Web as an information retrieval system , 2008 .

[94]  Ingrid Hsieh-Yee Student Use of Online Catalogs and Other Information Channels , 1996 .

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

[96]  R. Moenaert,et al.  The Adoption of Information Technology in the Sales Force , 2005 .

[97]  Susan A. Brown,et al.  Do I really have to? User acceptance of mandated technology , 2002, Eur. J. Inf. Syst..