Determinants of User Acceptance of Digital Libraries

Using the Decomposed Theory of Planned Behavior this research aims to determine the factors that affect the intentions of teaching staff towards using digital library services. Data are collected from 426 respondents and structural equation modeling is used to analyze the responses. Study results showed that attitude toward use and subjective norm have an important positive effect but perceived behavioral control does not have an effect on intention. Another finding is that compatibility is more effective than relative advantage in this context and it is seen that the system’s ease of use is more related with perceived behavioral control rather than attitude.

[1]  L. G. Tornatzky,et al.  Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings , 1982, IEEE Transactions on Engineering Management.

[2]  A. Manstead,et al.  Distinguishing between perceived behavioral control and self-efficacy in the domain of academic achievement intentions and behaviors , 1998 .

[3]  I. Ajzen Attitudes, Personality and Behavior , 1988 .

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

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

[6]  Mesut Kurulgan,et al.  Elektronik Kütüphane Hizmetlerinin Öğretim Elemanları Tarafından Benimsenmesinde Etkili Olan Faktörler: Anadolu Üniversitesi Öğretim Elemanları Üzerinde Bir Araştırma , 2010 .

[7]  Younghwa Lee,et al.  The Technology Acceptance Model: Past, Present, and Future , 2003, Commun. Assoc. Inf. Syst..

[8]  Shirley Taylor,et al.  Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions , 1995 .

[9]  Viswanath Venkatesh,et al.  A Longitudinal Investigation of Personal Computers in Homes: Adoption Determinants and Emerging Challenges , 2001, MIS Q..

[10]  Richard Shepherd,et al.  The dimensional structure of the perceived behavioral control construct , 1997 .

[11]  Lyman E. Ostlund Perceived Innovation Attributes as Predictors of Innovativeness , 1974 .

[12]  Martin Wetzels,et al.  A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects , 2007, Inf. Manag..

[13]  Moez Limayem,et al.  What makes consumers buy from Internet? A longitudinal study of online shopping , 2000, IEEE Trans. Syst. Man Cybern. Part A.

[14]  Kim Huat. Goh,et al.  Factors affecting new product adoption : a perspective from the consumer electronics industry. , 2002 .

[15]  Yaşar Tonta,et al.  Dijital Yerliler, Sosyal Ağlar ve Kütüphanelerin Geleceği , 2009 .

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

[17]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[18]  Gordon C. Bruner,et al.  Explaining consumer acceptance of handheld Internet devices , 2005 .

[19]  Corey M. Angst,et al.  Reconceptualizing Compatibility Beliefs in Technology Acceptance , 2006 .

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

[21]  Charles D. Barrett Understanding Attitudes and Predicting Social Behavior , 1980 .

[22]  Arun Vishwanath,et al.  An Examination of the Factors Contributing to Adoption Decisions among Late-Diffused Technology Products , 2003, New Media Soc..

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

[24]  A. Bandura Self-Efficacy: The Exercise of Control , 1997, Journal of Cognitive Psychotherapy.

[25]  Mark Conner,et al.  Distinguishing Perceptions of Control From Self‐Efficacy: Predicting Consumption of a Low‐Fat Diet Using the Theory of Planned Behavior , 1999 .

[26]  T. S. Robertson,et al.  A Propositional Inventory for New Diffusion Research , 1985 .

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

[28]  D. Lehmann,et al.  Purchase Intentions and the Dimensions of Innovation: An Exploratory Model , 1990 .

[29]  Hun Choi,et al.  An empirical study on the adoption of information appliances with a focus on interactive TV , 2003, Telematics Informatics.

[30]  S. Ram,et al.  Consumer Resistance to Innovations: The Marketing Problem and its solutions , 1989 .

[31]  Ali Shiri,et al.  Digital library research: current developments and trends , 2003 .

[32]  Mary Ann Eastlick Predictors of videotex adoption , 1993 .

[33]  Viswanath Venkatesh,et al.  Model of Adoption and Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle , 2005, MIS Q..

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

[35]  R. Bagozzi,et al.  An attitudinal model of technology-based self-service: Moderating effects of consumer traits and situational factors , 2002 .

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

[37]  Fred D. Davis,et al.  A Model of the Antecedents of Perceived Ease of Use: Development and Test† , 1996 .

[38]  William L. Shanklin,et al.  Seeking Mass Market Acceptance for High‐Technology Consumer Products , 1992 .

[39]  Deborah Compeau,et al.  From Prediction to Explanation: Reconceptualizing and Extending the Perceived Characteristics of Innovating , 2007, J. Assoc. Inf. Syst..

[40]  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..

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

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

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

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

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