upwork earning | Online earning class | Digital pandaa 2024

Upwork earning | Online earning class | Digital pandaa 2024


Introduction of upwork earning

upwork earning  advances in technology, including mobility and faster internet speeds, have

yielded a crop of web-based labor market intermediaries. Claims abound of the markets

for certain types of labor being “eaten” by new platforms that meet new needs while also

doing a more efficient job of meeting the old needs. One such new platform is Upwork,

which in many ways resembles a fully online temporary staffing agency with a global

reach. The central question of this paper is whether Upwork is simply a web-first version

of a temporary staffing industry or something entirely different with the potential to

revolutionize the temporary staffing industry. We argue that Upwork is significantly

different from traditional temporary staffing agencies. In this paper, we do analyze the

differences uniting Upwork and temporary staffing agencies in three areas:

composition, wages and revenue, and efficiency.

Upwork earning-Online earning class-Digital pandaa 2024

About Upwork

upwork earning  is a global online platform that connects workers–mainly freelancers–

with those seeking to hire workers. The organization, originally called Elance – Odesk,

was created in 2013 when two separate companies, Elance and Odesk, merged. Upwork

reports that they currently have over 12 million freelancers and 5 million clients. Over

one billion USD in work is done annually, with nearly half in technology. Both clients

and workers hail from all over the world (Upwork, 2016).

Upwork in the labor landscape

upwork earning  Industry and news publications often make unfounded predictions about the

potential of online labor platforms to revolutionize the labor market. Too often, vaguely

defined phrases like “gig economy” and “uberization of work” are used to describe a

scenario where the mass adoption of many different labor platforms results in a

revolutionized labor market. Such predictions are rarely based on a sober analysis of the

platforms in question or the mechanisms by which these platforms could change the

labor market.

Upwork earning-Online earning class-Digital pandaa 2024

Framework for comparison

upwork earning  Our framework for comparing Upwork and temporary staffing agencies (TSAs)

examines three characteristics of each intermediary: composition, wages and revenue,

and efficiency. Differences in these areas not only indicate important differences

between the temporary staffing industry and Upwork, but they might also point to

differences in overall costs between the two. Cost difference is important because it

indicates Upwork’s potential to revolutionize the traditional temporary staffing industry

model or the labor market as a whole.

Occupational and worker composition

upwork earning  we hypothesize that both the type of work and types of workers most commonly

found on Upwork are different from those most commonly found in the temp industry.

Such a difference might in turn signal that Upwork is filling worker or client needs that

are different from the needs being filled by the temporary staffing industry (temp

industry). In this section, we compare the two LMIs in two different ways. First, we look

at the breakdown in occupations between the temp industry and Upwork. Then, we

examine Upwork worker hours and schedule compared to those of temporary workers.

Upwork earning-Online earning class-Digital pandaa 2024

Occupational breakdown

upwork earning  when Dey, Houseman, & Polivka (2012) traced the growth and evolution of the

temp industry, they noted that clerical positions, which were originally a greater

percentage of temporary jobs, took a backseat to blue collar professions around the

dawn of the new millennium and expansion into technical professions has begun more

recently. Their findings align with a 2015 report by the United States Department of

Commerce, which found that the two largest occupations within the temp industry were

blue collar: transportation and material moving (24%) and production (24%). Office and

administrative follow closely (20.7%) and, in a distant fourth, computer and

mathematical occupations (3.4%) (Nicholson, 2015). Our second approach tries to adjust

profiles by capturing the demand side by simply reporting number of posted jobs for upwork .

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