The designing of Performance Management Systems in OLPs

This paper investigates how Performance Management Systems (PMSs) are developed today in Online Labor Platforms (OLPs), as Artificial Intelligence (AI) is taking over the Performance Management Process to assess Gig Workers’ Performance. This is interpreted through the PMS developed in five steps: 1) Identifying Performance Dimensions, 2) Developing Performance Measures, 3) Evaluating Employee Performance, 4) Providing Feedback, and 5) Developing Action Plans To Improve Workers’ Performance by using Lepak and Gowan (2010) theory to come up with conclusions accordingly. This paper concludes with PMSs development being very complex to ensure an accurate and clear system by finding out many factors and inconsistencies that lead to such complexity. In a system where a customer is “Queen/ King,” the whole system relies on each customer’s satisfactory factors, making it difficult to identify Performance Dimensions and further develop the PMSs “appropriately.” This difficulty contributes to the system’s complication in ensuring validity, reliability, specificity, and being free of any bias throughout the whole process. Furthermore, this paper exposes and elaborates on how OLPs’ Performance Management is different from theory and the possible reasons.