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This research explores how a new relation of production—the shift from human managers to algorithmic managers on digital platforms—manufactures workplace consent. While most research has argued that the task standardization and surveillance that accompany algorithmic management will give rise to the quintessential "bad job" (Kalleberg, Reskin, and Hudson, 2000; Kalleberg, 2011), I find that, surprisingly, many workers report liking and finding choice while working under algorithmic management. Drawing on a seven-year qualitative study of the largest sector in the gig economy, the ride-hailing industry, I describe how workers navigate being managed by an algorithm. I begin by showing how algorithms segment the work at multiple sites of human–algorithm interactions and how this configuration of the work process allows for more-frequent and narrow choice. I find that workers use two sets of tactics. In engagement tactics, individuals generally follow the algorithmic nudges and do not try to get around the system; in deviance tactics, individuals manipulate their input into the algorithmic management system. While the behaviors associated with these tactics are practical opposites, they both elicit consent, or active, enthusiastic participation by workers to align their efforts with managerial interests, and both contribute to workers seeing themselves as skillful agents. However, this choice-based consent can mask the more-structurally problematic elements of the work, contributing to the growing popularity of what I call the "good bad" job. [ABSTRACT FROM AUTHOR]

The issue of whether individuals should be classified as independent contractors has taken on increased significance as a result of the gig economy which began to grow following the Great Recession in 2009. It also has become something of a political football. Through the final regulations (Final Regs.), the Department of Labor (DOL) has promulgated guidance that for the first time provides a regulatory framework by which it can be determined if workers should be classified as independent contractors. The Final Regs. return to the DOL's longstanding position that the economic reality of the relationship between worker and alleged employer should be evaluated by considering all of the circumstances surrounding that relationship. [ABSTRACT FROM AUTHOR]

Work in the gig economy is championed by platform organizations as affording individuals the flexibility to decide when, where, and how much they wish to work. The reality is more complex. In app‐based gig work, we propose the concept of "algorithmic HRM control," which acts as an omnipresent and distinctive control system that differs from traditional forms of control in two significant ways: first, the reliance upon, and pervasiveness of, algorithmic technologies in its enactment; and second, the substantial direct and indirect influence of non‐organizational parties in controlling workers. Through a qualitative research design, this article delineates the scope of algorithmic HRM control in allocating and coordinating tasks, managing performance and rewards, and aligning the actions of workers with organizational objectives. Our analysis also unpacks the rigidity and complexities of the control system, as experienced by workers, and the influential role of non‐organizational parties in exerting unique, distinct forms of control. In so doing, we build upon emerging research on the duality of algorithmic HRM by revealing the inherent flaws or challenges from the perspective of the most central party—the gig worker. While output‐oriented control is pervasive, process and normative control elements are also found to exist in some scenarios, creating significant concerns for workers. [ABSTRACT FROM AUTHOR]

With the arrival of name, image, and likeness (NIL), the college sports labor market has distinctly taken on similar characteristics to the gig economy, with athletes able to earn extra compensation through external NIL-based independent contractor "gigs." But with this comparison comes comparable issues, and scholarship and litigation examining and challenging gig economy structures have identified several legal and ethical concerns both individual to each worker and more broadly affecting labor markets. Building off this literature, we conceptualize the NIL phenomenon within the gig economy space, exploring the legal and ethical concerns that have plagued companies like Uber and applying those same concerns to the brave new world of NIL-fueled college sports. We not only find similar issues in college sports but also find even deeper concerns based on new and existing challenges unique to the novel space of college sports, particularly given the increased proliferation of NIL collectives. [ABSTRACT FROM AUTHOR]

The employer-employee relationship forms the foundation from which a host of social security benefits and labour rights emerge. Workers are traditionally classified as employees hired under a contract of service or independent contractors hired under a contract for service. Over the years, Indian courts have relied on the control, integration, and multi-factor tests to determine the correct nature of employment contracts. This article explores the evolution of these tests and examines whether the burden of proof in determining the existence of employer-employee relationships requires modification. It then dissects the efficacy of the current multi-factor test in emerging platforms and gig economies by looking at the standard form contract signed by a popular food delivery platform with its delivery partners in India. Finally, the article explores the ability of the newly enacted labour codes, particularly the Code on Social Security 2020, to address the classification conundrum and its consistency with precedents. [ABSTRACT FROM AUTHOR]

Academia has requested more research on the 'digitalization of the food environment', which has been recently reviewed as an important but weakly covered research area. The paper probes service automation in the foodservice industry using intelligent self-service (ISS) technology. The main research question is how the skills and knowledge (S&K) requirements change with ISS. In the study, a framework was developed to provide a view of competencies in service management. A single case study with a mixed method focused on an ISS pilot at a lunch cafeteria, during which the S&K requirements were evaluated. Empirical data enabled analyzing the S&K needs before and after the technology implementation. Findings underline that ISS reminds typical platform orchestration, where the S&K requirements include e.g. digital marketing, data analytics, and lean operations. Hospitality workers have been reported to be weakly covered in hard skills and digital problem-solving, which sets a challenge to human resource management. Other studies have pointed out that the gig economy could solve resource challenges in digitizing industries. This is one of the first papers released on the human resource impact of ISS. It contributes to discussions on the foodservice industry as well as to the digital transformation of a business. [ABSTRACT FROM AUTHOR]

Introduction: With the rapid expansion of digital gig platforms, counterproductive work behavior among gig workers has become increasingly prominent, adversely impacting the platform's reputation, operational efficiency, and user experience. This study aims to explore how job demands and job resources influence counterproductive work behavior among gig workers. Methods: Grounded in the Job Demands-Resources model and Job Engagement Theory, this study develops a second-order chain mediation structural model to analyze the effects of job demands (Work pace/workload, physical demands, psychological demands, and customer-related social stressors) and job resources (Compensation, job security, learning opportunities, and opportunities for professional development) on counterproductive work behavior. Cognitive, emotional, and behavioral engagement are also examined as mediators. Results: Job demands positively influence counterproductive work behavior, while job resources have a negative impact. Cognitive, emotional, and behavioral engagement each negatively affect counterproductive work behavior. Additionally, platform formalization moderates the negative influence of gig workers' engagement on counterproductive work behavior. Discussion: This research provides a comprehensive theoretical framework for digital gig platform managers to understand and predict gig workers' counterproductive work behavior. It also offers practical implications for optimizing the work environment, enhancing job engagement, and mitigating counterproductive work behavior, thus fostering mutual development between gig workers and the platform. [ABSTRACT FROM AUTHOR]

Once autonomous vehicles (AVs) are deployed for ride-hailing platforms, human drivers will compete with AVs until AV costs decrease enough to eliminate human drivers entirely. We examine a ride-hailing platform's strategy to recruit human drivers while operating a private AV fleet. Using a game-theoretic model, we analyze how the platform sets the human-driver wage and the size of its AV fleet. We show that setting a higher wage can surprisingly lead to less human-driver participation. Moreover, we show that having the option to augment its AV fleet after observing human participation levels can, counterintuitively, hurt the platform's bottom line. Our findings emphasize the need for ride-hailing platforms to carefully navigate the complex interactions between their roles as supply providers (of AV-served rides) and supply seekers (of human drivers), as failure to do so can be costly. [ABSTRACT FROM AUTHOR]

Existing literature has primarily examined how to promote customer-oriented organizational citizenship behavior (CO-OCB) in the hospitality and tourism industries, the influencing factors that drive such behaviors in the gig economy remain unclear. This study investigates the impact of gamification on the CO-OCB of gig workers and takes into account the mediators of harmonious and obsessive passion, as well as the moderating role of perceived algorithmic control. Using a time-lagged questionnaire survey design to collect data from a sample of 419 gig workers from various platforms in China, hierarchical regression analysis was conducted to test the proposed hypotheses. The results indicate that gamification affects CO-OCB positively through workers' harmonious passion but negatively through obsessive passion. Additionally, perceived algorithmic control negatively moderates the relationship between gamification and harmonious passion and positively moderates the relationship between gamification and obsessive passion. Our findings reveal the pros and cons of gamification and the importance of recognizing work passion and perceived algorithmic control in the relationship between gamification and CO-OCB. [ABSTRACT FROM AUTHOR]

AbstractThis study investigates the link between personal ambition, marital status, and burnout among Indian gig professionals, focusing on how individual traits and life circumstances affect occupational stress. Through structured survey of diverse gig workers, the results reveal significant stress levels, with single individuals showing a stronger connection between ambition and burnout than their married peers. The research explores the crucial role of ambition in causing stress among gig workers and how marital status moderates this relationship. It challenges the conventional view of ambition as merely a motivational asset, highlighting its complex impact on professional stress. It calls for further research into ambition’s role in occupational stress and emphasizes the importance of inclusive policies. These findings support the United Nations Sustainable Development Goals, particularly SDG 3 (Good Health and Well-being), SDG 5 (Gender Equality), and SDG 8 (Decent Work and Economic Growth), advocating for sustainable development and well-being for gig workers. [ABSTRACT FROM AUTHOR]

With the rapid growth of the gig economy in China, millions of food delivery e-bikers are making their living by rushing on the street. Speeding is one of their most common risky riding behaviours, leading to severe traffic crashes. Based on 2-month naturalistic cycling data of 46 full-time food delivery e-bikers in Changsha, their speeding behaviour is deeply studied with the individual daily speeding proportion being taken as the speeding indicator. A beta regression model is built to identify the factors significantly influencing the indicator. The estimation results reveal that female riders, middle-aged riders and riders with a bachelor’s degree are less likely to engage in speeding. The same result is indicated for those working longer or experiencing more crashes. Additionally, holidays and riding distance are found to have significantly positive influences. Finally, some countermeasures are proposed to prevent speeding among food delivery e-bikers. [ABSTRACT FROM AUTHOR]

This research study has been done to uncover the important aspects of the research in the context of entrepreneurship as a tool to deal with the problem of unemployment in economies by understanding the trends of research studies, contributing authors, and their research contributions. The literature review in this research study has been done using bibliometric analysis and content analysis through the 316 research studies published in ABDC-rated journals from 2012 to 2022. The findings suggest that the previous studies focused on studying the different aspects, like the relationship between unemployment and entrepreneurship, the role of education and training, and the impact of public policies on employment generation aspects of entrepreneurship, along with the performance assessment of the entrepreneurial firms. However, the emphasis of previous studies was less on the performance assessment of the firms that started after unemployment. The findings from the literature review also revealed the impact of the rapidly evolving technological transformations due to artificial intelligence (AI) and related technologies and the rising gig economy-based environment on employment generation and entrepreneurial endeavors in economies. This suggests that policymakers and practitioners look into designing relevant and effective policies and educational programs aligning with the changing employment and entrepreneurial landscape due to the impact of technology. [ABSTRACT FROM AUTHOR]

In view of success stories of unicorn startups from the sharing and gig economy such as Airbnb, DiDi, or Uber, it is not surprising that postal service providers try to transfer the sharing idea toward their last-mile delivery services: owners of under-used assets (here private crowdshippers traveling anyway) are connected with users willing to pay for the use of these assets (here postal service providers having to deliver parcels). In this paper, we consider a special form of crowdshipping where public transport users, steered by a smartphone app, pick up parcels from parcel lockers, take these shipments with them on their subway rides, and deposit these parcels into other lockers. Finally, the actual recipients can pick up their shipments from their most convenient parcel lockers, e.g., on their own way back home from work. We formulate the optimization problem that matches crowdshipping demand and supply and determines the routes along lockers and crowdshippers each parcel takes. Specifically, we allow that each parcel is moved by multiple cooperating crowdshippers and solve this problem with different objective functions capturing the individual aims of the main stakeholders: shippers, crowdshippers, recipients, and the platform provider. We evaluate the relationship of these objectives and quantify the efficiency loss of a more restricted matching policy, where only a single crowdshipper can be assigned to each parcel's complete path between origin and destination. Finally, we also explore the impact of delays and investigate whether specific objectives protect against unforeseen events. [ABSTRACT FROM AUTHOR]

Drawing on research conducted with platform delivery workers in Washington D.C., this paper builds on the work of scholars committed to both describing and challenging the degrading conditions that so often define the gig economy. Acknowledging the importance of both employee classification and citizenship status to understanding the plight of platform-based migrant workers, this paper directs attention to the distinction that platform companies draw between what counts as work and what counts as waiting. This distinction is not only central to understanding the degrading nature of gig work, but to understanding the logic of what we describe as the fulfilment city – a city organized around the promise and potential of one-click, same day, or even same hour, delivery services. We end by arguing that questions of waiting and fulfillment are important for migration scholars concerned with the formation of 'immigrant counterpublics'. [ABSTRACT FROM AUTHOR]

The intersection of migrant labour and the gig economy is a field of growing interest. Although there is no comprehensive public data on the topic, current studies show that platform labour in urban gig economies is often carried out by migrants. While uberised work has been quite extensively analysed, the dimensions of everyday life and time are still little studied. This paper aims to fill this gap, looking at the convergence of migrant labour, the gig economy, everyday life, and time. The authors present a time-space-energy nexus to illustrate the constant assembling of working and non-working times by workers and the potential tensions arising from the algorithmic managerial model of work. Specific attention is given to how migrant couriers organise the times and spaces of their everyday lives within platform-mediated food delivery in Venice. To explore this topic, a qualitative-ethnographic investigation was carried out in the historic centre of Venice from January to June 2022. This article highlights the features and tendencies of the food delivery sector in Venice, in order to show how the particular forms that migrant worker/runners' living and working conditions take contradict the supposed flexibility proposed by digital platforms. [ABSTRACT FROM AUTHOR]

This article explores how platform-mediated gig work is entangled in the migration process across transnational, national and local scales. Drawing on the concepts of simultaneity and migration infrastructure from critical transnational migration studies as well as qualitative interviews with migrants, the analysis focuses on the figures of three migrant gig workers from both EU and non-EU countries to elucidate two matters. First, we analyse how different forms of citizenship produce different ways of responding to the migration infrastructure that results in frictions and/or smoothness across different times and spaces in the migration process. Second, we analyse how migrants who perform platform-mediated gig work on a local scale in Copenhagen, Denmark, establish particular transnational lives. Thus, this article contributes a timely transnational perspective on the relationship between the growing gig economy and migration. [ABSTRACT FROM AUTHOR]

The temporal structuring of migrant gig workers' work and lives has been insufficiently addressed in research. Drawing on multi-sited onlineoffline methodologies, including interviews with migrants working via location-based work platforms (cleaning, food delivery) in Finland, we propose the term platform assemblage to analyse the temporal entanglements of living labour, work platforms and the border regime. We argue that migrant gig workers' entanglement in the platform assemblage engenders experiences of constraint, not only via formally weak labour market positions but also through the specific temporalities arising in the complex entwinement of algorithms, the varying digital platforms used, ratings, urban interferences, migratory status and the personal resources required to navigate these constraints. Discerning the relationship between migrants' encounters with the temporal border regime, the temporal organisation of platform work, and migrants' contestations over the dynamics of work, the article contributes to the emerging literature on migrant gig workers. [ABSTRACT FROM AUTHOR]

This article, working within the 'infrastructural turn', combines social reproduction and Lefebvrian rhythm analysis to examine the everyday labour and life of migrant cleaners and delivery service gig workers in Stockholm. Using in-depth interviews, we demonstrate how this highly mobile and flexible workforce makes the city 'tick' by keeping its inhabitants clean, fed, healthy and cared for. Specifically, we highlight a contradiction: workers extricating free time for others through reproductive labour, are themselves systematically deprived of the (paid and unpaid) time necessary to meet their own reproductive needs. The conditions of work in the urban on-demand and just-in-time service economy, we show, produce spatiotemporal (dis)orders of living and labouring in the algorhythmic city, as workers are required to be both on standby, waiting, whilst also fulfilling customer orders at an ever-increasing speed. Migrant gig workers who appear on the doorstep, on demand and just in time, form a kind of human infrastructure, serving the urban population whilst nonetheless being subject to disinvestment – unrepaired and unmaintained. This article, then, contributes to the literature on gig work, migration and social reproduction, by theorizing the algorhythmic city as reliant on the constant transformation of gig labour into an urban infrastructure for social reproduction. [ABSTRACT FROM AUTHOR]

This introduction presents a framework for the contributions to the special issue At Your Service: The Mobilities, Rhythms and Everyday Lives of Migrant Labour in the Gig Economy. The article begins by providing an overview of the current literature on the gig economy and the growing attention towards its relationship to processes of migration. The introduction continues by outlining and discussing three themes that in different ways shape the contributions in the issue. First, we situate the issue in relation to contemporary and historical migration processes and regimes of mobility. Second, we discuss how the articles in this issue explore the rhythms of gig work in relation to the spatio-temporalities of migration regimes and cities increasingly built on a logic of fulfilment. Finally, we draw attention to the infrastructural role of migrant gig workers in midst of the contemporary social reproductive crisis. This perspective opens new avenues for future research with questions of social reproductive justice at its core. [ABSTRACT FROM AUTHOR]

Collective evaluation processes, which offer individuals an opportunity to assess quality, have transcended mainstream sectors (e.g., books, restaurants) to permeate professional contexts from within and across organizations to the gig economy. This paper introduces a theoretical framework to understand how evaluators' visibility into prior evaluations influences the subsequent evaluation process: the likelihood of evaluating at all and the value of the evaluations that end up being submitted. Central to this discussion are the conditions under which evaluations converge—are more similar to prior evaluations—or diverge—are less similar—as well as the mechanisms driving observed outcomes. Using a quasinatural experiment on a platform where investment professionals submit and evaluate investment recommendations, I compare evaluations that are made with and without the possibility of prior ratings influencing the subsequent evaluation process. I find that when prior ratings are visible, convergence occurs. The visibility of prior evaluations decreases the likelihood that a subsequent evaluation occurs by about 50%, and subsequent evaluations become 54%–63% closer to the visible rating. Further analysis suggests that peer deference is a dominant mechanism driving convergence, and only professionals with specialized expertise resist peer deference. Notably, there is no evidence that initial ratings are related to long-term performance. Thus, in this context, convergence distorts the available quality signal for a recommendation. These findings underscore how the structure of evaluation processes can perpetuate initial stratification, even among professionals with baseline levels of expertise. Supplemental Material: The online appendix is available at https://doi.org/10.1287/orsc.2017.11285. [ABSTRACT FROM AUTHOR]

Despite the rapid growth of online food delivery (OFD) market, the impact of its three-sided nature—encompassing consumers, restaurants, and gig drivers—on incentives and payoffs remains unclear compared to the traditional two-sided model. This study examines how OFD platforms make optimal choices in a competitive environment involving pricing and service quality. The analysis reveals that insights from two-sided platforms don't seamlessly translate to OFD markets. The triad nature of OFD can either dampen or heighten price competition in the buyer-seller market, altering subsidization dynamics for platforms. While conventional platforms suffer from negative network effects due to participation pressure, OFD platforms can adapt service strategies to mitigate this. However, introducing gig labor might not always benefit OFD platforms as it could trigger a prisoner's dilemma situation by empowering competing platforms. The study underscores the dependence of platform strategies on network effects' strength. As the gig economy rises, the employment status of gig workers garners controversy. The study demonstrates that implementing minimum wage regulations, while benefiting gig drivers, might diminish societal welfare. These findings offer guidance to policymakers aiming to balance gig workers' interests with overall societal concerns. Boosted by greater demand for convenience and then turbocharged by the coronavirus disease 2019 pandemic, online food delivery (OFD) has witnessed rapid growth over the past several years. Despite such growth, however, it is still unclear how incentives and payoffs of various parties are affected by the three-sidedness of the OFD market, which involves consumers, restaurants, and gig drivers—beyond the traditional two-sided setting. In this paper, we study the OFD platforms' optimal choices in a competitive setting where the platforms compete on both prices and service quality. Our analysis shows that conventional insights from two-sided platforms do not completely carry over to OFD markets. Specifically, we find that the three-sidedness may either soften or intensify the price competition in the buyer-seller market, consequently altering the subsidizing conditions of OFD platforms. Although two-sided platforms generally get hurt by network effects because of the pressure to induce participation, OFD platforms are able to mitigate such negative impact by flexibly adjusting their service strategies. Yet, OFD platforms may not always be better off by introducing gig labor because additional leverage for competing platforms could lead to a prisoner's dilemma situation. We show further how the platforms' pricing and service strategies critically depend on the strength of network effects. With the rising of the gig economy, the question of employment status for gig workers has become an increasingly controversial issue in the United States and elsewhere. We address this by showing that the introduction of minimum wage regulation, although benefiting the gig drivers, may be welfare diminishing to society at large. Our results can thus provide guidance to policy makers seeking a compromise between the interests of gig workers and society as a whole. History: Yong Tan, Senior Editor; Jianqing Chen, Associate Editor. Supplemental Material: The online appendix is available at https://doi.org/10.1287/isre.2022.0119. [ABSTRACT FROM AUTHOR]

Objectives. For several years, the so-called 'gig economy' has kept transforming urban transportation dynamics. However, the literature has often overlooked the demanding, stressful and safety-compromising conditions under which delivery riders carry out their occupational tasks. This research aimed to examine whether fatigue acts as a mediating mechanism in the complex relationships among job settings, stress-related psychosocial factors at work and the occurrence of occupational traffic crashes among two-wheeled food delivery riders. Methods. This cross-sectional study field-surveyed 248 food delivery riders operating across various platforms. Participants responded to a questionnaire on work features, psychosocial factors and occupational safety issues. The data underwent both descriptive analyses and structural equation modeling (SEM). Results. As hypothesized, the occupational (riding) crashes of food delivery riders can be largely explained through work-related fatigue, which exerts a full mediation between job settings, stress-related factors and riding safety outcomes. Conclusions. These results highlight fatigue as a significant yet overlooked threat in this occupation, emphasizing the need to connect stress-related conditions with safety incidents, a relationship not previously explored among delivery riders. Moreover, our findings stress the necessity for policies and interventions targeting stress and fatigue management to improve occupational health and road safety in the gig economy era. [ABSTRACT FROM AUTHOR]

Online freelancing, an alternative form of work where independent workers offer services on digital labor platforms, gains increasing importance in IS research. While the general understanding of this form of work is growing, research lacks understanding careers on digital labor platforms. However, these differ from careers in offline labor markets due to volatility, global matching and platform mediation, the digital and temporary nature of work, and algorithmic management as particular platform working conditions. Therefore, to understand how working conditions on digital labor platforms influence the dynamic career paths of freelancers, we conduct an exploratory analysis using 35 interviews with freelancers and clients on digital labor platforms. We thus contribute to the body of knowledge on alternative forms of work on digital labor platforms by developing a long‐term freelancing career model and outlining the dynamics of advancement, decline, and exit within platform careers. We also illustrate mechanisms between career phases in terms of platform lock‐in effects, which arise from the career advancement dynamics and career exit dynamics. [ABSTRACT FROM AUTHOR]

Problem definition: Motivated by the debate around workers' welfare in the gig economy, we propose a framework to evaluate current practices and possible alternatives. We study a setting in which customers seek service from workers and a platform facilitates such matches over the course of the day. The platform allocates time slots to workers using an allocation policy, and the workers are strategic agents (with respect to "when to work") who maximize their expected utility that depends on their preferred times to work, the allocated slots, and the total availability time. The platform seeks to ensure that a sufficient number of workers is available to satisfy demand, whereas the workers aim to maximize their wage-driven utility. Methodology/results: We evaluate policies on two dimensions critical to any firm: the supply of workers across the day, and the effective wages of workers. We illustrate that several families of currently deployed policies have serious limitations. We find these limitations exist because the policies do not let workers fully express their preferences and/or cannot account for heterogeneity in such preferences. We propose a new allocation policy and establish strong performance guarantees with respect to both the workers' supply and effective wages. The policy is simple and fully leverages the market information to reach better market outcomes. We supplement our theory with numerical experiments in the context of ride-hailing calibrated on various New York City data sets that illustrate performance across a range of markets. Managerial implications: We highlight a fundamental inefficiency of policies currently deployed that limit workers' ability to express their preferences. By allowing workers to express their temporal preferences, and by judiciously prioritizing "full-time" workers over "part-time" workers, we can obtain a potentially significant Pareto improvement, maintaining (or even increasing) workers' supply while increasing their effective wages. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2022.0414. [ABSTRACT FROM AUTHOR]

Voice is crucial for workers as it enables them to better their organizations and exert some degree of control over managerial decision-making. Yet, as workers increasingly find jobs on digital platforms in the gig economy, traditional channels of voice are being replaced by digital voice channels, such as online communities. To add knowledge on how voice takes form on such channels, we collected conversation data from two online communities, which function as official (Upwork community) and unofficial (Reddit community) digital voice channels for gig workers who are active on Upwork. Based on a qualitative analysis of both communities, we discovered that when gig workers voice in digital channels, they tend to frame their voice, including signals of status and group membership. This voice framing creates different factions, which then engage in voice modulation, amplifying in-group members and muting outgroup members. Thereby, our study teases out how voice takes form in digital channels and how it differs from voice in traditional organizations. Our study contributes to the growing research at the intersection of voice and digital platforms. [ABSTRACT FROM AUTHOR]

Despite the considerable debate concerning the gig economy, research has yet to investigate what platform workers themselves want. In part, this is due to the difficulty of undertaking traditional social surveys in this sector. Therefore, this article makes use of a novel research design that generates a strategic non‐probability sample of 510 platform workers with which to investigate workers' preferences regarding labour rights, representation and voice. Findings suggest strong support for labour rights, trade unions and co‐determination. The low pay, insecurity, risk and lack of organizational voice that we find provides a rationale for these preferences. Moreover, platform workers' preferences are seemingly influenced by wider inequalities, with significant differences according to gender and country of birth. [ABSTRACT FROM AUTHOR]

This article examines how workers describe their motivations for participation in the platform- based gig economy, particularly as rideshare and delivery drivers. I investigate how these accounts vary by socio-economic class, gender, and race. Based on interviews conducted as part of the American Voices Project, I find that workers' accounts differ based on income and gender. Higher earners tend to downplay financial needs and describe platform work as a path to explore their larger community, whereas lower earners focus on financial needs and benefits. Additionally, among lower earners, explanations differed by gender. Interestingly, I did not find any differences based on race. I conclude by investigating why workers from different social groups might offer varying accounts. [ABSTRACT FROM AUTHOR]

Introduction: With the rapid rise of the gig economy globally, its characteristics of promoting employment and facilitating autonomy have supported its rapid growth and development in China. While the flexibility of gig work offers more employment options and income sources for workers, it also caused many problems and uncertainties. Workplace well-being is an important psychological factor that indicates the psychological state of workers and significantly predicts their behavior at work. However, previous studies on the gig economy rarely analyze gig workers' workplace well-being, which is of great significance to improving their individual emotions, promoting their physical and mental health, and maintaining the sustainable development of the gig economy and society in general. Methods: This study draws on the cognitive-affective processing system framework to construct a moderated dual-mediator model to explore the dual influence mechanism of job autonomy on gig workers' workplace well-being. Based on the data of 442 digital gig workers who were mainly engaged in manual labor. Results: The survey results show that job autonomy positively affects employees' workplace well-being, and work alienation and positive emotion mediate this relationship. Perceived algorithmic control can moderate not only the influence of job autonomy on work alienation and positive emotion but also the indirect impact of job autonomy on workplace well-being through work alienation and positive emotion. Discussion: The finding of this research contributes to expand the comprehension of the relationship between gig-worker job autonomy and workplace wellbeing and this relationship's underlying mechanism, holding significant implications for management practice. [ABSTRACT FROM AUTHOR]

The platform or gig economy has had a profound impact on the tourism ecosystem. However, the European Institute for Gender Equality (EIGE) warns that whilst platforms can contribute to more gender equality, they can also reinforce sexism and inequality. While platforms offer access to informal micro-entrepreneurship, they can also expose women to heightened vulnerability due to limited control over clients and lack of legal protection. Our research questions the link between gender roles, spatial fear, and platform workers' experiences. Our findings indicate that despite Istanbul's evolving urban tourism landscape, the prevailing gender politics in Turkey continues to uphold conservative gender norms that result in gendered labour divisions and gendered public space access. As female platform workers navigate safety concerns and feelings of fear in Istanbul, productivity becomes spatially constrained, despite their efforts to adapt using diverse innovative approaches. Interesting conclusions are drawn regarding the future of work via the finding that platforms create a hybrid employment model blurring host-guest lines, raising questions about the implications for platform workers' safety. [ABSTRACT FROM AUTHOR]

The World Bank's International Finance Corporation has produced three research reports on gender equality and ride-hailing, in collaboration with ride-hailing companies. This article examines these reports in light of wider conversations about the growing corporate co-production of development knowledge. Focusing on research claims about the gender and development potential of 'sharing economy' firms like Uber, it argues that the shortage of women drivers has been successfully framed as a gender and development problem, rather than a labour supply problem to be resolved by ride-hailing companies themselves. Multi-stakeholder solutions are proposed, involving licensing actors, charities, government development agencies, banks, and insurance providers. Gender equality research contributes to a new development common sense involving expanding the numbers of indebted 'independent contractors' in the gig economy; reducing 'regulatory burdens' on platforms; and binding nongovernmental organizations (NGOs) ever tighter to corporate interests. This article shows the centrality of gender research to the Bank's broader reorientation towards business-led development, and highlights some distinctive lessons of work on ride-hailing. [ABSTRACT FROM AUTHOR]

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Copyright of Challenges of the Future / Izzivi Prihodnosti is the property of Fakulteta za Organizacijske Studije v Novem mestu and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the rapid rise in the gig economy driven by advancements in digital technology and financial technology, this study focuses on the work experiences and psychological perceptions of food delivery riders in platform-based employment. This study used a sample of food delivery riders from 19 cities in China (such as Shanghai, Beijing, Guangzhou, etc.) and multiple delivery platforms (such as Meituan, Ele.me) to collect data through a combination of online and offline questionnaires. The impact relationship between perceived fairness, organizational trust, and organizational identity of food delivery riders was examined through factor analysis, structural equation modeling, and mediation effect modeling. The results of the survey and statistical analysis indicate that fairness perception and its dimensions (distributive fairness, procedural fairness, and interactional fairness) significantly influence riders' organizational identification, with organizational trust serving as a critical mediating factor. The integration of digital technology has substantially enhanced the operational efficiency of platform-based employment by enabling real-time tracking, transparent communication, and data-driven decision-making. Innovations in financial technology, such as digital payment systems and financial management tools, offer riders safer and more convenient compensation methods, thereby contributing to their financial stability and fostering trust in the platform. The establishment of trust alleviates the riders' concerns regarding compensation stability and bolsters their optimistic attitudes toward accessing platform resources and meeting their needs. This study provides significant insights and recommendations for leveraging digital technology and financial technology to improve the relationship and operational efficiency between riders and platform enterprises. [ABSTRACT FROM AUTHOR]

The rapidly expanding gig economy has been criticized for creating precarious and indecent working conditions. These critiques draw on decent work debates centred on employment classification, regulation and platform fairness, with less focus on the interactions between workers, platforms and clients, which are central to the experience of platform-mediated work. This article adopts a worker-centric relational perspective to explore decent work in the gig economy. Drawing on the experiences of workers in platform-mediated domestic care work, the insights from this study highlight the importance of social interactions and relationships, using an ethics of care lens, to elucidate how relational aspects shape workers' experiences. The findings reveal platform workers centre mutuality of interests, responsiveness and reciprocity, attentiveness and solidarity to maintain a balance of care (care-for-self and care-for-others) when negotiating platform-mediated care work. This article contributes relationality as a key dimension of decent work currently overlooked in studies exploring gig work arrangements. [ABSTRACT FROM AUTHOR]

A burgeoning literature has analysed how and why platform workers express their (collective) voice. While this 'willingness to act' of platform workers is evidenced across several countries, there is little research on their 'willingness to pay', however. Are platform workers willing to become dues paying union members? Exploiting novel survey data from Austria, this article addresses this gap by analysing the propensity of app-mediated food delivery couriers to join trade unions. Similarly to traditional industries, the findings demonstrate that the decision to join a union is driven by instrumental and value-rational motivations. Compared to employed couriers, those on 'free-service provider contracts', i.e. freelancers, are less likely to unionise, however. Also, short expected job tenure and limited personal contacts hinder unionisation in app-mediated food delivery. Yet unions are not without tools: they can significantly improve relationships between them and the couriers by supporting grassroots activists. [ABSTRACT FROM AUTHOR]

Working conditions in platform work are often, yet rarely explicitly, assessed according to criteria similar to those applied to the quality of jobs outside the gig economy. In this article the authors argue that future research would benefit from analytical schemes that enable a systematic analysis of working conditions in platform work. They discuss the advantages and challenges of applying existing job-quality frameworks to platform work and present a suggestion for modifications that consider the particularities of platform work. The use of such a novel analytical framework could help systematise evidence from qualitative research, promote the heretofore rare initiatives of quantitative representative data collection, and inspire theoretical developments at the interface of job quality and platform work. [ABSTRACT FROM AUTHOR]

This mixed-methods study explores the intersection of the 'gig' economy and welfare state in Australia, exploring how ride-share work has provided a pathway into paid work for three traditionally disadvantaged groups: individuals with disability, with caring responsibilities, or aged 45 and over. It examines these workers' motivations for the work and explores how the welfare system shapes their experiences. The study finds push factors, such as past labour market discrimination and limited alternatives, and pull factors, like the relative flexibility of the work, which allows for the accommodation of planned and unplanned absences, are driving individuals into the 'gig' economy. The authors identify a duality about these experiences. On the one hand, the work represents a de facto form of 'workfare'. On the other, the welfare system is cushioning the work's job and income insecurity, providing individuals with flexibility and security unavailable elsewhere, an unintended policy outcome the authors label 'accidental flexicurity'. [ABSTRACT FROM AUTHOR]

Motivated by applications in the gig economy, we study approximation algorithms for a sequential pricing problem. The input is a bipartite graph G=(I,J,E) between individuals I and jobs J. The platform has a value of vj for matching job j to an individual worker. In order to find a matching, the platform can consider the edges (ij)∈E in any order and make a one-time take-it-or-leave-it offer of a price πij=w of its choosing to i for completing j. The worker accepts the offer with a known probability pijw; in this case, the job and the worker are irrevocably matched. What is the best way to make offers to maximize revenue and/or social welfare? The optimal algorithm is known to be NP-hard to compute (even if there is only a single job). With this in mind, we design efficient approximations to the optimal policy via a new random-order online contention resolution scheme (RO-OCRS) for matching. Our main result is a 0.456-balanced RO-OCRS in bipartite graphs and a 0.45-balanced RO-OCRS in general graphs. These algorithms improve on the recent bound of 12(1−e−2)≈0.432 and improve on the best-known lower bounds for the correlation gap of matching, despite applying to a significantly more restrictive setting. As a consequence of our online contention resolution scheme results, we obtain a 0.456-approximate algorithm for the sequential pricing problem. We further extend our results to settings where workers can only be contacted a limited number of times and show how to achieve improved results for this problem via improved algorithms for the well-studied stochastic probing problem. Funding: This work was supported by the National Science Foundation [Grant CCF2209520] and a gift from Amazon Research. [ABSTRACT FROM AUTHOR]

This research examines passion and self-efficacy through experience and knowledge, as motivational factors that support entrepreneurs within the gig economy (GE). It sheds light on entrepreneurs’ sources of passion in the GE literature. The sample is composed of all the 1164 entrepreneurship activities offered worldwide through Airbnb, Tour by Locals, and Withlocals on 5 May 2022. The study is supported by unsupervised machine learning mod-els and seeks to find latent topics emerging from the analysis of the entrepreneurs’ descriptions and exposes the main correlated clustered dimensions. There are six main motivators behind GE platforms as a first step toward entrepreneurship: Experience, Passion for share, Knowledge, Classic traditions, Empowered community and local activities, and Well-being. It also confirms the correlation between passion and self-efficacy through experience, pointing them as main factors behind entrepreneurship in the GE. Five of the six sources of passion previously pointed by theory were found: Passion for growth, for people, for product/service, for innovation and for so-cial mission. This study discloses self-efficacy and the sources of passion and points directions to practitioners involved in entrepreneurial activities in the GE ecosystem. This work used machine learning models to access quantitatively a paradigm that is inductive by nature. The results point to well-being as a significant factor to be addressed in future research regarding entrepreneurship. This research only studies individuals involved in the GE; as such, further studies should cohort new populations from different fields.

Food delivery riders have gained widespread significance when countries went into lockdown to prevent the spread of COVID-19. Particularly in the Philippines, two major companies - Grab and Food Panda - employ thousands of delivery riders as "independent contractors," sans any insurance or protection. This paper argues that food delivery riders, in line with the nature of their work, should be aptly recognized as employees of their digital platforms and should be accorded the proper benefits, protection, and compensation. Notwithstanding the cautious phrasing in the agreements signed by the delivery riders classifying them as independent contractors, it is the submission of this research that the law remains the primary factor that determines the relationship between the parties. As such, an employer-employee relationship, as laid down in Philippine jurisprudence, covers food delivery riders. The paper likewise cites landmark rulings from Spain and France, which recognized delivery riders and drivers as employees of their digital platforms. It is high time that such practices of food delivery businesses be corrected in favor of worker's rights and a decent, gainful livelihood. [ABSTRACT FROM AUTHOR]

Abstract The gig economy (temporary, contract, and freelance online jobs rather than permanent positions) is a component of the fourth industrial revolution and preview of future work. The rise of digital platforms has increased career opportunities and income potential, particularly for women. Yet, the sex-disaggregated evidence regarding platform usage, employment characteristics, and working motivations and satisfaction remains untapped. Using data from a quantitative survey of Bangladeshi gig workers (242 men and 201 women) conducted in 2022, this paper addresses these gaps between male and female workers. The gig economy appears to be gender-segregated across digital platform usages and working categories. Women tend to prioritize digital work options for managing multiple responsibilities, while men are often driven by the potential for higher income. This study conceptually utilized the two-factor theory and empirically ordered a probit model to identify gender differences in job satisfaction. Job satisfaction was significantly increased by work-life balance, monthly income, and social-media connection, while an increase in working hours, complexity in payment systems, and unstable networks all led to a decrease in job satisfaction. The findings have implications for the future growth of the gig economy, provide new insights into gender differences in job satisfaction, and underscore the need for gender-sensitive policies in the online labor market.

This article explores the intersubjective relationships between clients and workers on two digital domestic work platforms in Bogotá, Colombia. Drawing on feminist social studies of science and technology, it investigates the control, auditing, and subordination mechanisms affecting workers, with clients playing a key role in setting performance conditions. While much of the literature on digital labor focuses on technological intermediation and algorithmic management—used to track, monitor, and rate domestic workers—this article looks at the relationships with clients and how these shape the work process and technologies involved. Based on over thirty in-depth interviews with workers and clients, the study examines three areas: (i) clients’ expectations of mechanical efficiency; (ii) the use of rating systems; and (iii) domestic work as emotional labor. The article concludes by reflecting on the dual subordination experienced by workers due to digital service intermediaries and emphasizes the need for fair technologies that consider workers’ experiences and perspectives

The gig economy (temporary, contract, and freelance online jobs rather than permanent positions) is a component of the fourth industrial revolution and preview of future work. The rise of digital platforms has increased career opportunities and income potential, particularly for women. Yet, the sex-disaggregated evidence regarding platform usage, employment characteristics, and working motivations and satisfaction remains untapped. Using data from a quantitative survey of Bangladeshi gig workers (242 men and 201 women) conducted in 2022, this paper addresses these gaps between male and female workers. The gig economy appears to be gender-segregated across digital platform usages and working categories. Women tend to prioritize digital work options for managing multiple responsibilities, while men are often driven by the potential for higher income. This study conceptually utilized the two-factor theory and empirically ordered a probit model to identify gender differences in job satisfaction. Job satisfaction was significantly increased by work-life balance, monthly income, and social-media connection, while an increase in working hours, complexity in payment systems, and unstable networks all led to a decrease in job satisfaction. The findings have implications for the future growth of the gig economy, provide new insights into gender differences in job satisfaction, and underscore the need for gender-sensitive policies in the online labor market. [ABSTRACT FROM AUTHOR]

AbstractIdentifying design requirements for new technologies is vitally important for successful uptake, yet few structured approaches exist to guide the process. Given increasing concerns regarding gig economy worker road safety, this study involved the use of Cognitive Work Analysis (CWA), alongside a participatory design process, to identify requirements for a novel, app-based incident reporting tool for gig economy workers. Study 1 involved a stakeholder workshop to refine a Work Domain Analysis model and define stakeholder requirements for the tool. Study 2 involved focus groups to identify barriers and facilitators to using the tool and a survey to inform the development of a Contextual Activity Template, in addition to identifying further barriers and facilitators. Design requirements for the tool were identified through synthesising the CWA outputs and themes identified from stakeholder and end user input. [ABSTRACT FROM AUTHOR]

This study focuses on the different impacts of platform training and learning by doing on gig workers' platform income. Based on survey data of China's delivery riders on the platform in 2020, via quantitative methods combined with the case study, it is found that the platform training is negatively correlated with riders' incomes, while learning by doing is positively correlated with their incomes. Workers with a high level of platform-income dependence earn more than those with an average level of dependence under the same platform training, or learning by doing. Overall, the incomes of the former are significantly lower than those of the latter, where the difference is mainly due to unobservable factors. Both platform training and learning by doing significantly reduce the income gap. In addition, the instrumental variable and the propensity score matching approaches are introduced to handle the endogeneity problem, and robust results are obtained. Plain language summary: Influence of learning by doing and platform training on gig workers' incomes This study looks at how two different ways of learning affect gig workers' earnings on platforms. We used data from a survey of delivery riders in China in 2020. We found that training provided by the platform tends to lower riders' earnings, while learning from actual work experience tends to increase earnings. Riders who rely more on their platform income earn more than those who don't, even after training or learning by doing. Both types of learning help reduce the income gap. We used special methods to make sure our results are accurate. [ABSTRACT FROM AUTHOR]

Self-branding is crucial for online freelancers as they must constantly differentiate themselves from competitors on online labor platforms to ensure a viable stream of income. By analyzing 39 interviews with freelancers and clients on the online labor platform Upwork, we identify five key self-branding strategies: boosting a profile, showcasing skills, expanding presence, maintaining relationships with clients, and individualizing brand. These self-branding strategies are contextualized within Goffman's dramaturgical theory and through an affordances lens, showing immanent tensions. While online freelancers successfully leverage self-branding to improve their visibility on Upwork and beyond, the client perspective reveals a fine line between too little and too much self-branding. Online freelancers must brand themselves in visibility games when the game rules are largely opaque, riddled with uncertainty, and constantly evolving. We connect the findings to adjacent platform economy research and derive a self-branding as a performance framework. [ABSTRACT FROM AUTHOR]

This article explores the intersubjective relationships between clients and workers on two digital domestic work platforms in Bogotá, Colombia. Drawing on feminist social studies of science and technology, it investigates the control, auditing, and subordination mechanisms affecting workers, with clients playing a key role in setting performance conditions. While much of the literature on digital labor focuses on technological intermediation and algorithmic management--used to track, monitor, and rate domestic workers--this article looks at the relationships with clients and how these shape the work process and technologies involved. Based on over thirty in-depth interviews with workers and clients, the study examines three areas: (i) clients' expectations of mechanical efficiency; (ii) the use of rating systems; and (iii) domestic work as emotional labor. The article concludes by reflecting on the dual subordination experienced by workers due to digital service intermediaries and emphasizes the need for fair technologies that consider workers' experiences and perspectives. [ABSTRACT FROM AUTHOR]

This article explores the importance of lifelong learning and adult education in addressing various crises, such as economic inequality, technological advancements, pandemics, climate change, and mental health issues. It emphasizes the need for continuous learning throughout one's life and introduces the concept of a "60-year curriculum." The article discusses the downgrading of adult education by governments worldwide, which has prioritized business productivity over individual wellbeing, community cohesion, and cultural capital. The book edited by Holford et al. challenges this agenda and advocates for education that is integral throughout life, skeptical of a narrow focus on employability, and emphasizes the role of citizens in shaping their own education. The conclusion highlights the need for adult education and lifelong learning to address societal crises and promote social and environmental sustainability, supported by international organizations. The authors and editors provide hope for progress through their theoretical and practical work. [Extracted from the article]

The article deals with collective issues and emerging forms of solidarity in remote crowd work. Using the example of the Amazon Mechanical Turk platform, we analyse communication in one of the oldest online labour forums (OLF) with a mixed‐methods‐approach (web scraping, topic modelling and qualitative content analysis) over a 10‐year period. We identify six broader themes of collective relevance whose importance varies over time. The results indicate that elements of solidarity emerge as crowd workers communicate about deprivations, develop collective orientations, and invoke injustice frames. However, there are no indications of more profound collective activities, which may be due to different types of crowd workers, some of whom have conflicting orientations. We develop assumptions about restrictions of OLF in facilitating collective action and tasks for organisers. The research contributes to a better understanding of mobilisation issues in remote platform labour. [ABSTRACT FROM AUTHOR]

Despite the surge of interest in platform cooperatives, we have a limited understanding of the dynamics of platform worker‐member participation in these cooperatives. Drawing on interviews with 21 senior leaders and founders of platform worker cooperatives, we investigate the dynamics of platform worker‐member participation, finding that these cooperatives experience some successes and many challenges. We then build theory about how four distinct features of platform worker cooperatives—the facilitation of multihoming, the physically untethered nature of work, the relatively high importance of scale as a strategic imperative, and the relatively low importance of initial platform worker‐member investment—influence these participation dynamics. We find that the platform and worker cooperative organisational models are in tension with one another when brought together within a platform worker cooperative, leading to positive and negative effects on participation. [ABSTRACT FROM AUTHOR]