Knowledge Work in the Sharing Economy: What Drives Project Success in Online Labor Markets?

Gerenciamento e disciplina algorítmica: uma análise focalizada em plataformas de emprego de elevada qualificação

“…As plataformas também facilitam a correspondência de freelancers com clientes e, portanto, reduzem a necessidade de venda de serviços (Fu, 2017). Um segundo benefício é que a afiliação da plataforma reduz a incerteza do cliente sobre a qualidade e motivação do freelancer, uma vez que a maioria das plataformas veta e certifica trabalhadores, ajudando-os a obter novos projetos (Claussen et al, 2018;Hagiu;Rothman, 2016). Isso é útil especialmente para freelancers iniciantes que não têm experiência anterior nesse contexto.…”

“…Para construir confiança entre as partes, a plataforma precisa superar diferentes tipos de incertezas predominantes, que podem ser divididas em incertezas comportamentais e incertezas ambientais. A incerteza comportamental está relacionada às habilidades e qualidade do freelancer, bem como à quantidade de esforço que ele exercerá no projeto, a qual pode ser associada a argumentos tradicionalmente mencionados pela literatura sobre o mercado de trabalho da "teoria da agência", enquanto a incerteza ambiental está relacionada às especificações do projeto e à empresa cliente (Claussen et al, 2018).…”

Co-creation in Macrotask Knowledge Work on Online Labor Platforms

“…It is a mid-tier platform that spans a wide range of projects in terms of skills and expertise. Upwork's platform functioning from the perspective of project success has been studied elsewhere (Claussen et al 2018) and Pajarinen et al (2018) have investigated the characteristics of Finnish Upworkers. Previously, Sutherland et al (2020) studied Upworkers as showcases of 'skilled knowledge work ' and Popiel (2017) investigated freelancing on Upwork in a historical context of 'flexible accumulation'.…”

Online Service Outsourcing Auctions With Endogenous Reviews

“…Although online service outsourcing has become a significant part of the world economy [4], relevant research on this new form of work and its mediating platforms is still at the start stage [12], and readers may refer to [6] for a scoping review of the related literature. In this literature, the majority of work resorts to empirical research methods to examine the impacts of different factors on, e.g., the client's outsourcing decision (e.g., [8], [13], [14]), the matching success/efficiency between clients and freelancers (e.g., [9], [15], [16]), freelancers' signaling behavior (e.g., [17]), or the service outsourcing performance (e.g., [18]).…”

“…In online services outsourcing platforms, services are commonly traded through buyer-determined auctions (e.g., [7], [8]), in which freelancers interested in a client's service request compete with each other by bidding the prices at which they are willing to provide the service, and the client is then free to choose any submitted bid (not necessarily the lowest-price bid) as the winning bid. Comparing to sourcing auctions for standardized goods (e.g., raw materials, parts, and manufactured goods), service outsourcing auctions face prominent problems of both adverse selection (i.e., screening freelancers with private information) and moral hazard (i.e., regulating the freelancers' opportunism behaviors) [9]. In traditional sourcing auctions for goods, most transaction terms can be arranged contingent on the delivery quality, since the specifications of the goods can be easily defined ex ante and verified ex post, which largely reduces the occurrence of moral hazard problems.…”