Exploring a Broader View of Technology Acceptance

The primary aim of this dissertation is to establish the generalizability of the scale items used to measure 5 psychological acceptance constructs proposed by Schwarz and Chin (2007). While an initial test of validity and reliability was established by Schwarz (2003) using covariance-based structural equation modeling, a stronger test was performed to establish the generalizability of the items through a series of multigroup invariance tests. Having used 3 new independent data sets, we present the results of the combinatorial analyses of 3 pairwise comparisons of the data sets as well as a test comparing all 3 data sets simultaneously. Both confirmatory factor models and structural models were applied to examine whether item measures are identically reliable and whether the relationships among these 5 constructs also remain the same. Structurally, two models incorporating these 5 constructs were applied to predict an overall general acceptance construct and the construct of infusion. While the nomological relationships among these acceptance constructs varied as expected, the correlations and item loadings remain invariant. Therefore, the results answer the questions: (1) Can the acceptance constructs proposed by Schwarz and Chin be captured by reliable and accurate measures? (2) Are these constructs distinct from one another? and (3) Do they act similarly in different contexts? Finally, to provide a platform for more research on workplace outcomes, this research explores the notion of technology infusion, an important form of usage. Given that the 5 psychological acceptance constructs have predictive value toward infusion, we establish a means for further study of the concept.

Name thesis:degree_name

Doctor of Philosophy

Level thesis:degree_level

Doctoral

Discipline thesis:degree_discipline

Business Administration

Grantor

University of Houston

Year dc:date.issued

2010

Author dc:creator

• Steel, Douglas

Advisor dc:contributor.advisor

• Chin, Wynne W.

Committee members dc:contributor.committeemember

• Johnson, Norman A.
• Penney, Lisa M.
• Schwarz, Andrew H.

• Generalizability
• Multigroup invariance

Statement dc:rights

• The author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/10657/ETD-UH-2010-05-40

OAI identifier oai:identifier

oai:uh-ir.tdl.org:10657/ETD-UH-2010-05-40