Predicting User Acceptance and Continuance Behaviour Towards Location-based Services: The Moderating Effect of Facilitating Conditions on Behavioural Intention and Actual Use

Authors

  • Mohamamd Alamgir Hossain College of Business RMIT University
  • Mohammad Imran Hasan College of Arts, Social Sciences and Commerce, La Trobe University
  • Caroline Chan School of Business IT and Logistics, RMIT University
  • Jashim Uddin Ahmed School of Business & Economics, North South University

DOI:

https://doi.org/10.3127/ajis.v21i0.1454

Keywords:

location-based service, TAM, consumer acceptance and continuance, entertainment gratification, application quality

Abstract

The purpose of this study is to establish and examine the significance of a consumer acceptance and continuance model for location-based services (LBSs) through the integration of perceived entertainment gratification (PEG) and perceived application quality (PAQ) with the technology acceptance model (TAM). By arguing that behavioural intention (BI) does not automatically lead to actual use (AU), we investigated the moderating effect of facilitating conditions (FC) on the relationship between BI and AU. A quantitative study was conducted in Australia and Bangladesh; data were obtained from multiple sources by systematic sampling of the distribution of questionnaires. For data analysis we applied the partial least square (PLS) method. The results indicate that, in both Australia and Bangladesh, perceived usefulness (PU), PEG and PAQ have significant influence on user attitude (UA), which has a subsequent effect on BI. Interestingly, perceived ease of use (PEoU) does not have a direct effect on UA but indirectly influences it through PU—confirming the mediating effect of PU. Further, FC has a moderating effect between BI and AU. The implications of these findings and directions for future research directions are also discussed.

Author Biography

Mohamamd Alamgir Hossain, College of Business RMIT University

Postdoctoral Research Fellow, School of Business IT and Logistics

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Published

2017-06-08

How to Cite

Hossain, M. A., Hasan, M. I., Chan, C., & Ahmed, J. U. (2017). Predicting User Acceptance and Continuance Behaviour Towards Location-based Services: The Moderating Effect of Facilitating Conditions on Behavioural Intention and Actual Use. Australasian Journal of Information Systems, 21. https://doi.org/10.3127/ajis.v21i0.1454

Issue

Section

Research Articles