(Wl-6929)-Rating Systems

Algorithms are the new managers. Workers are now being evaluated by algorithms, and one such tool is the use of customer-generated five-star ratings by platforms. This article looks at rating systems used by ride-hailing companies - Uber and Ola from three aspects. The first aspect looks at the literature on rating systems; this section explores the origins of the star-based rating systems, their significance today, how they work and what impact does it have on drivers. Second, the article dives into what the companies have to say about the use of rating systems. The last part includes a study that explores how a ride-hailing company driver perceives a rating system. The study aims to answer, how does a ride hailing company driver perceive a rating system? The objective of the study include - to understand the driver’s perspective of the rating systems used by ride hailing companies & the impact the rating systems have on the performance review and deactivation of drivers

Economics · Environmental economics · Perspective (graphical · Rating system · Artificial Intelligence · Computer Science · Credit Risk and Financial Regulations · Psychology