Algorithmic Management: The Tin Man of the Gig Economy

Significant attention has been given to the algorithmic management models that provide leadership to the global workforce that drives the gig economy (Aneesh, 2009; Danaher, 2016; Rosenblat & Stark, 2016). As the pitfalls of algocratic management are studied (Jabagi et al., 2019), limited consideration is given to strategies aimed at addressing the observed challenges of algorithm-based management. This article considers the findings of empirical studies that examine governance by data (Jabagi et al., 2019; Johns, 2021), while proposing a hybrid model of human-algorithmic management, where human intervention is introduced at key points in the algorithm to address algorithmic management's growing deficiencies. Just as Baum's (2018) Tin Man in The Wonderful Wizard of Oz was aware that not having a heart created significant limitations, so too must organizations that profit from algorithmic management. If the organizations behind on-demand labor platforms continue to alienate gig-workers, turning a deaf ear to their frustrations, the tension is bound to erupt into policies or protests that disrupt a global business model which has the potential to improve the global quality of life.
Introduction As companies seek to maximize profits by decreasing costs, staffing extends to the global marketplace (Aneesh, 2009). Scalable employment solutions that promise unlimited earning potential, autonomy, and entrepreneurship have [...]