Mobile marketing in the 21st century: a partial least squares structural equation modelling approach
Mobile marketing (m-marketing) adoption has not been a preferred selection among consumers although the benefits are tremendous. As the cost of implementing the system can be expensive the study explores on the factors that influence the decision of consumers to adopt m-marketing. Using technology...
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my-aeu-eprints.5552019-07-08T07:36:22Z http://ur.aeu.edu.my/555/ Mobile marketing in the 21st century: a partial least squares structural equation modelling approach Pan, Vic-Qi Chew, Pai-Qin Cheah, Amy Shun-Gui Wong, Choy-Har Tan Han, Garry Wei T Technology (General) Mobile marketing (m-marketing) adoption has not been a preferred selection among consumers although the benefits are tremendous. As the cost of implementing the system can be expensive the study explores on the factors that influence the decision of consumers to adopt m-marketing. Using technology acceptance model (TAM), the framework was extended with social influence (SI), personal innovativeness in information technology (PIIT) and perceived enjoyment (PE). The data was collected from 108 users using self-administered questionnaire and subsequently tested using SmartPLS. Only PIIT is a non-significant construct based on the investigation. The findings bring significant benefits to marketers who wish to integrate m-marketing in their advertising budget. In addition, the study provides unprecedented methods in reaching to mobile consumers. 2015 Journal PeerReviewed text en http://ur.aeu.edu.my/555/1/Mobile%20marketing%20in%20the%2021st%20century%20%281%29-2-18.pdf Pan, Vic-Qi and Chew, Pai-Qin and Cheah, Amy Shun-Gui and Wong, Choy-Har and Tan Han, Garry Wei (2015) Mobile marketing in the 21st century: a partial least squares structural equation modelling approach. International Journal of Modelling in Operation Management, 5 (2). pp. 83-99. |
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T Technology (General) Pan, Vic-Qi Chew, Pai-Qin Cheah, Amy Shun-Gui Wong, Choy-Har Tan Han, Garry Wei Mobile marketing in the 21st century: a partial least squares structural equation modelling approach |
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Mobile marketing (m-marketing) adoption has not been a preferred selection among consumers although the benefits are tremendous. As the cost of implementing the system can be expensive the study explores on the factors
that influence the decision of consumers to adopt m-marketing. Using technology acceptance model (TAM), the framework was extended with social
influence (SI), personal innovativeness in information technology (PIIT) and perceived enjoyment (PE). The data was collected from 108 users using
self-administered questionnaire and subsequently tested using SmartPLS. Only PIIT is a non-significant construct based on the investigation. The findings bring significant benefits to marketers who wish to integrate m-marketing in their advertising budget. In addition, the study provides unprecedented methods in reaching to mobile consumers. |
format |
Journal |
author |
Pan, Vic-Qi Chew, Pai-Qin Cheah, Amy Shun-Gui Wong, Choy-Har Tan Han, Garry Wei |
author_facet |
Pan, Vic-Qi Chew, Pai-Qin Cheah, Amy Shun-Gui Wong, Choy-Har Tan Han, Garry Wei |
author_sort |
Pan, Vic-Qi |
title |
Mobile marketing in the 21st century: a partial least squares structural equation modelling approach |
title_short |
Mobile marketing in the 21st century: a partial least squares structural equation modelling approach |
title_full |
Mobile marketing in the 21st century: a partial least squares structural equation modelling approach |
title_fullStr |
Mobile marketing in the 21st century: a partial least squares structural equation modelling approach |
title_full_unstemmed |
Mobile marketing in the 21st century: a partial least squares structural equation modelling approach |
title_sort |
mobile marketing in the 21st century: a partial least squares structural equation modelling approach |
publishDate |
2015 |
url |
http://ur.aeu.edu.my/555/1/Mobile%20marketing%20in%20the%2021st%20century%20%281%29-2-18.pdf http://ur.aeu.edu.my/555/ |
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