EconPapers    
Economics at your fingertips  
 

SMS Advertising in India: Is TAM a Robust Model for Explaining Intention?

Hemant Bamoriya ()
Additional contact information
Hemant Bamoriya: Acropolis Institute of Technology & Research, India

Acta Universitatis Danubius. OEconomica, 2012, issue 3(3), 17-27

Abstract: This study examined mobile users’ intentions to receive SMS advertising in India using Technology Acceptance Model (TAM) as research framework. 242 respondents completed a structured questionnaire; measuring their responses for the TAM’s five constructs viz. perceived utility, perceived ease of use, perceived trust, attitude and intention. Using Structural Equation Modeling (SEM) both measurement model and structural model testing was done to analyze the data. Findings indicated that specified TAM model contributed to 81.8% of variance in the intention to receive SMS advertising and was a valid model in explaining the intention to receive SMS advertising. Study further indicated that perceived utility was much better predictor of attitude towards SMS advertising than perceived ease of use and perceived trust. Study suggested marketers that to increase acceptance of SMS advertising they should focus more on increasing utility of SMS ads, so that users would develop positive attitudes towards SMS advertising.

Keywords: Intention; Mobile; Structural Equation Modeling (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://journals.univ-danubius.ro/index.php/oeconomica/article/view/1298/1162 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dug:actaec:y:2012:i:3:p:17-27

Access Statistics for this article

More articles in Acta Universitatis Danubius. OEconomica from Danubius University of Galati Contact information at EDIRC.
Bibliographic data for series maintained by Daniela Robu ().

 
Page updated 2025-03-19
Handle: RePEc:dug:actaec:y:2012:i:3:p:17-27