Gig Economy, Analysis and Monitoring Prioritizing Privacy, Dedication, Performance, and Accuracy
摘要
The gig economy, characterized by temporary, freelance, and temporary jobs facilitated by digital platforms, presents a unique set of challenges for employers in terms of monitoring and analyzing worker activity (Manyika et al. in Independent work: choice, necessity, and the gig economy. McKinsey Global Institute, 2016). Key features of the gig economy include flexibility, a variety of work opportunities, and reliance on digital platforms for job matching. However, challenges such as income instability, lack of benefits, and legal and regulatory risks exist for gig workers (Heeks in Decent work and the digital gig economy: a developing country perspective on employment impacts and standards in online outsourcing, crowdwork, etc. University of Manchester, 2017). To address these challenges, various solutions are available, including time tracking software, performance analytics platforms, Global Positioning System and location tracking tools, task management systems, rating and feedback systems, blockchain-based reputation systems, and integrated platform solutions. Each solution has its strengths and weaknesses, with considerations regarding accuracy, privacy, fairness, and complexity. The main purpose of research in this area is to find the best possible solution to overcome the biggest challenges employers face, including lack of direct oversight, quality control, and feedback mechanisms. By understanding and addressing these challenges, employers can better manage gig economy workers and maximize the benefits of flexible work arrangements while mitigating potential risks.