Towards a global C2C Crowdsourcing Smart Shopper System: An SDLC Development Approach
Source of Publication
2022 International Conference on Computer and Applications (ICCA)
Recently, personal shopper businesses have gained increasing popularity through social media platforms. Many websites and social media pages offer personal shopping services; however, this is limited to a specific number of shopping agents who are available online and are trustworthy to conduct shopping transactions on behalf of the shoppers. Therefore, our goal is to satisfy the consumer's needs and help them find the needed product wherever it is located worldwide, by developing an application of crowdsourcing personal shoppers who are available and cost-effective in many countries and regions. This C2C crowdsourcing personal shopper application is the first to be developed in UAE and, to the best of our knowledge, one of the very few online business models worldwide. Our solution enables people to choose the best quality product, compare prices and save the time and effort of international physical shopping. We employed the System Development Life Cycle (SDLC) methodology to plan, analyze, model, design and implement the system. Limitations and future directions are also specified.
Crowdsourcing, Analytical models, Social networking (online), Computational modeling, Business
Albreiki, Alyazia; Almemari, Ayesha; and Shuhaiber, Ahmed, "Towards a global C2C Crowdsourcing Smart Shopper System: An SDLC Development Approach" (2022). All Works. 5690.
Indexed in Scopus