Abstract: This article presents the result of a survey performed to identify the potential of using mobile crowdsourcing as means to exchange information on the prices of household items at local stores from the consumers point of view. The potential was identified from four perspectives; mobile devices capability, internet usage pattern, supporting infrastructure and readiness towards information sharing. Survey questionnaires comprising 18 quantitative questions were distributed to 138 respondents in the forms of hardcopy and online softcopy over a one month period in May 2014. Collected data were analysed using descriptive statistics and correlation analysis methods. Findings from the analyses showed that the potential of using mobile crowdsourcing in sharing information of item prices is high as seen from the perspectives of the mobile devices capability and supporting infrastructure. Internet usage pattern of the consumers as well as their attitude towards information sharing are also in support of the potential. To the best of our knowledge, this is the first study that gathered statistical data on the potential of using mobile crowdsourcing for the sharing of information on items prices. Potential is usually assumed based on informal observation on the prevalent of mobile devices and their widespread use, and are not supported by empirical data. It is of value to the broader research communities who are currently engaged in mobile crowdsourcing research for consumers benefits.

Hazleen Aris and Marina Md Din, “Exploring the Potential of Mobile Crowdsourcing in the Sharing of Information on Items Prices” International Journal of Advanced Computer Science and Applications(IJACSA), 7(4), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070470

@article{Aris2016,
title = {Exploring the Potential of Mobile Crowdsourcing in the Sharing of Information on Items Prices},
journal = {International Journal of Advanced Computer Science and Applications}
doi = {10.14569/IJACSA.2016.070470},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070470},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {4},
author = {Hazleen Aris and Marina Md Din},
}