Using Stakeholder Theory to Examine Drivers' Stake in Uber

Ning, F.; Yuan, Chien Wen (Tina); Ghafurian, Moojan; Hanrahan, Benjamin V.

doi:10.1145/3173574.3173657

Cited by 27 publications

(20 citation statements)

References 32 publications

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“…The application does not just manage ride allocation, but it also processes payments, tracks distance, sets fare rates, and acts as a medium for the company and drivers to communicate [24]. This huge structure is enabled by delegating managerial tasks normally done with human supervision to the platform [25], [21]. Uber has produced a form of on-demand labor that is managed, compensated, and allocated, all from the application [24].…”

Section: Ubermentioning

confidence: 99%

“…The lack of security and benefits provided by jobs in the sharing economy raises an obvious question, why work for these companies? Uber attracts drivers by stating workers have the chance to be their own boss, work whenever they want to and wherever they want to [25]. This promise of flexible employment attracts many drivers, in a survey 85% of respondents said it was a major motivation for starting [19].…”

Section: Ubermentioning

confidence: 99%

“…This promise of flexible employment attracts many drivers, in a survey 85% of respondents said it was a major motivation for starting [19]. These claims of flexibility and being one's own boss are not always experienced in practice, primarily due to the information/power asymmetries between drivers and the platform, algorithmic task assignment/management, and the emotional labor driver's must perform [25]. However, many drivers view the flexibility and choices that they do have compensate for their lack of control in matters dealt with by algorithmic assignment [21].…”

Section: Ubermentioning

confidence: 99%

“…Officially, drivers are not Uber employees, they are called "driver-partners" and are independent contractors [19,25]. Uber claims to be a technology company that does not provide transportation services, but instead offers a platform on which these services can be arranged.…”

Section: Ubermentioning

confidence: 99%

“…The structure of information available for drivers through the platform is often at odds with the goals of the driver. Drivers constantly must calculate the costbenefit of rides, without the support of Uber [25]. Issues like these are partially why retention rates are so low; only slightly over half the drivers who on-boarded in 2013 remained active a year later [19].…”

Section: Ubermentioning

confidence: 99%

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Effective? Ethical? Behavior Control & Algorithmic Management in Virtual Environments

Moore¹

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As virtual platforms become more popular and grow larger the use of behavior control tools to aid in management becomes more common. In this paper I evaluate the effectiveness and ethicalness of behavior control tools, specifically the tools implemented by Uber and Upwork are assessed. These tools include "awareness systems" which are pieces of software that monitor work behavior with tools such as video recording and key logging. I create Frameworks for what is an ethical and what is an effective control tool and use them to evaluate both platforms. Next I do two Case studies on the platforms to show what behavior control mechanisms are used and how. Uber failed to meet a majority of both effective and ethical criteria standards. Upwork saw slightly better results reaching half of the effective criteria standards, but also did not meet a majority of the ethical criteria standards. Lastly I discuss ways to improve worker rights and privacy such as unionization and passing of laws and regulations.

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Section: Ubermentioning

confidence: 99%

Section: Ubermentioning

confidence: 99%

Section: Ubermentioning

confidence: 99%

Section: Ubermentioning

confidence: 99%

Section: Ubermentioning

confidence: 99%

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Effective? Ethical? Behavior Control & Algorithmic Management in Virtual Environments

Moore¹

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Socio‐technical issues in the platform‐mediated gig economy: A systematic literature review: An Annual Review of Information Science and Technology (ARIST) paper

Dedema,

Rosenbaum

2024

Asso for Info Science & Tech

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The gig economy and gig work have grown quickly in recent years and have drawn much attention from researchers in different fields. Because the platform mediated gig economy is a relatively new phenomenon, studies have produced a range of interesting findings; of interest here are the socio‐technical issues that this work has surfaced. This systematic literature review (SLR) provides a snapshot of a range of socio‐technical issues raised in the last 12 years of literature focused on the platform mediated gig economy. Based on a sample of 515 papers gathered from nine databases in multiple disciplines, 132 were coded that specifically studied the gig economy, gig work, and gig workers. Three main socio‐technical themes were identified: (1) the digital workplace, which includes information infrastructure and digital labor that are related to the nature of gig work and the user agency; (2) algorithmic management, which includes platform governance, performance management, information asymmetry, power asymmetry, and system manipulation, relying on a diverse set of technological tools including algorithms and big data analytics; (3) ethical design, as a relevant value set that gig workers expect from the platform, which includes trust, fairness, equality, privacy, and transparency. A social informatics perspective is used to rethink the relationship between gig workers and platforms, extract the socio‐technical issues noted in prior research, and discuss the underexplored aspects of the platform mediated gig economy. The results draw attention to understudied yet critically important socio‐technical issues in the gig economy that suggest short‐ and long‐term opportunities for future research directions.

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The nexus between corporate social responsibility of airports and passenger satisfaction: A cross‐country study

Alam,

Yang,

Bandara

et al. 2023

Corp Soc Responsibility Env

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This article investigates the role of passenger perception on corporate social responsibility (CSR) in improving passenger satisfaction by examining the direct and mediating effects through service standards, customer facilities, corporate image, and corporate reputation in a cross‐culture context. A questionnaire survey was carried out on airport user experiences from 528 passengers using China and Pakistan airports. Smart PLS‐3.3 was used to test the formulated hypothesis. The results showed that CSR significantly affects passenger satisfaction. The results also revealed CSR initiatives have a significant effect on the service standard, customer facilities, corporate image, and corporate reputation. Customer facilities and corporate image were found to be significant mediators for CSR‐satisfaction link. However, the service standard and corporate reputation showed an insignificant relationship.

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Using Stakeholder Theory to Examine Drivers' Stake in Uber

Cited by 27 publications

References 32 publications

Effective? Ethical? Behavior Control & Algorithmic Management in Virtual Environments

Effective? Ethical? Behavior Control & Algorithmic Management in Virtual Environments

Socio‐technical issues in the platform‐mediated gig economy: A systematic literature review: An Annual Review of Information Science and Technology (ARIST) paper

The nexus between corporate social responsibility of airports and passenger satisfaction: A cross‐country study

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