Examining user‐driven factors for intentions to use video digital libraries

The purpose of the present study is to examine potential influences of certain user‐driven factors on the intentions to use or target video digital libraries. The overarching objective of the study is to present a validated research model which depicts such phenomenon between users and video digital libraries. A total of 229 respondents participated in an online survey, which included questions for seven distinct variables: retrieval functionality, user interface characteristics, user support, collection quality, perceived ease of use, perceived usefulness, and intention to use. Multiple regression and correlation coefficient were used to analyze the collected survey data and test the hypotheses for validating the proposed research model. The preliminary results show that both perceived ease of use and perceived usefulness are determinant factors of users’ intention to use video digital library resources. In addition, retrieval functionality, user support, and collection quality significantly affected users’ perceived ease of use of digital library resources. Further study of additional variables is currently in progress in order to assess influential factors that affect use of digital video libraries and ultimate adoption of such tools.

[1]  Kar Yan Tam,et al.  Understanding User Acceptance of Digital Libraries: What are the Roles of Interface Characteristics, Organizational Context, and Individual Differences? , 2002, Int. J. Hum. Comput. Stud..

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

[3]  Dan E. Albertson,et al.  Users' criteria of video digital libraries from a public affairs context , 2014, IIiX.

[4]  Oded Nov,et al.  Users' personality and perceived ease of use of digital libraries: The case for resistance to change , 2008, J. Assoc. Inf. Sci. Technol..

[5]  Hyunjoo Lee,et al.  Determining the factors that influence college students' adoption of smartphones , 2014, J. Assoc. Inf. Sci. Technol..

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

[7]  Jong-Ae Kim,et al.  Toward an understanding of Web-based subscription database acceptance , 2006, J. Assoc. Inf. Sci. Technol..

[8]  Hsiu-Fen Lin,et al.  Examination of cognitive absorption influencing the intention to use a virtual community , 2009, Behav. Inf. Technol..

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

[10]  Jen-Her Wu,et al.  Empirical evaluation of the revised end user computing acceptance model , 2004, Comput. Hum. Behav..

[11]  Barbara H Wixom,et al.  A Theoretical Integration of User Satisfaction and Technology Acceptance , 2005, Inf. Syst. Res..

[12]  Boryung Ju,et al.  Design criteria for video digital libraries: Categories of important features emerging from users' responses , 2015, Online Inf. Rev..

[13]  Alexander Serenko,et al.  Factors affecting the adoption of online library resources by business students , 2011, J. Assoc. Inf. Sci. Technol..

[14]  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..

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

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