The Aftermath of an App Restrictor on Excessive Online Shopping during Home Quarantine
A. Amador, K. Catimbang, N. Delos Trinos, T. Mallari, R. Nicolas, J. Roque, E. Viray
Quantitative Research, 2022
Abstract
The pandemic has catalyzed online shopping platforms such as Lazada, Qoo10, and Shopee to surge and use this opportunity to reach a wider audience. Excessive and impulsive online buying, however, has become a source of concern. Thus, the objective is to use an app restrictor to encourage users of becoming accustomed to using an online shopping application less, wherein it would yield greater results, in terms of cost savings and discipline, apart from simply reducing their usage through willpower. This study aims to benefit society since it will assist people in reducing or preventing financial problems and harmful impacts of excessive screen usage. From this, the thesis statement of the study denotes that a certain amount of time on an app restrictor will condition/affect the user, such that after this amount of time, their use of the online shopping app will be decreased significantly, even without the need for the app restrictor. Consequently, the participants will be categorized into three groups: control group, experimental group 1, and 2, where they will be under the influence of the app restrictor for 0 hours, 4 hours, and 6 hours, respectively, where the results will be analyzed through the lens of three theories: Social Cognitive Theory, Consumer Behavior Theory, and Theory of Planned Behavior. After the implementation, results show that there was no significant difference among the groups, one of the reasons is the small number of participants, hence, the group recommends having more participants and executing the experiment for a longer period to have a reliable set of data. Moreover, the researchers reject the thesis statement presented by the study and recognize how, despite its intended purpose, the prolonged duration of app restrictor usage does not signify that its purpose is achieved and it is effective, especially provided with the different users, with their varying online shopping behaviour.
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