More than a side-hustle: Satisfaction with conventional and microtask work and the association with life satisfaction

Gig platforms promise attractive, flexible ways to earn supplemental income. Academics, however, often describe gig work as low-quality work, suggesting that it is less satisfying than conventional work. In this paper, we present a novel comparison of satisfaction with gig microtask work and conventional work among MTurk workers doing both. We also examine how satisfaction with gig and conventional work relate to life satisfaction. On average, respondents report less satisfaction with microtasks than with conventional work. Nevertheless, roughly one-third of respondents are more satisfied with microtask work. Furthermore, microtask work lowers overall life satisfaction, but only among "platform dependent" respondents (those who rely on platform income). Specifically, structural equation modeling reveals a case of moderated mediation: "platform dependence" reduces life satisfaction by lowering satisfaction with microtask work while also strengthening the latter's connection to life satisfaction. Taken together, our findings support and extend the theory of platform dependence.

Gender differences in job satisfaction among gig workers in Bangladesh

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.

Platform workers and digital agency: Making out on three types of labor platforms

Much of the research on platform workers has focused on individuals involved in low-skilled and highly standardized tasks. However, platform workers are not a homogeneous group. Utilizing a classification system that makes a distinction between different layers of platform control and grouping platforms according to how they divide decision rights between platforms and workers, we examine how and for what purposes platform workers operating in three types of control contexts have practiced and developed their digital agency for making out. The study, based on an analysis of platform webpages and 32 semi-structured interviews of food couriers, freelancers, and interim managers, shows that workers can exercise their digital agency on all three types of platforms, but different platforms create different conditions for this depending on their special forms of control. In addition, the forms of control also affect to what extent workers are motivated to direct their agency for making out. Instead of regarding platform work as just another layer of a periphery segment in the labor market, our analysis suggests that platforms exercising algorithmic control are new types of arenas for work, which seem to reproduce, or even amplify, the inequalities found in the offline world of work in the digital world.

The original sin of crowd work for human subjects research

Purpose

Academic scholars have leveraged crowd work platforms such as Amazon Mechanical Turk for human subjects research for almost two decades. However, few scholars have reflected or questioned this mode of academic research. This paper aims to examine three fundamental problems of crowd work and elaborates on their lasting effects on impacting the validity and quality of human subjects research on crowd work.

Design/methodology/approach`

A critical analysis is conducted on the characteristics of crowd work, and three fundamental problems of crowd work since its origin were identified, namely, the position of “Human-as-a-service,” the confusion of terminology and crowd work platforms’ abdication of responsibilities.

Findings

This paper explains that the three identified fundamental problems of crowd work render at least two lasting problems in crowd work-based research: first, the negligence of the teleological difference between crowd work and academic research; second, the ontological schism between scholars and institutional review boards (IRBs) in their ethical concerns and practices.

Originality/value

This paper critiques the foundation of crowd work-based research that has become growingly popular, extolled and taken for granted. Such a critique is deficient in literature and may seem a bit peculiar. However, we hold that it is time to take research ethics seriously in crowd work because we need to introspect and question ourselves as scholars: What is our motive or ethical stance in using crowd work for human subjects research? Is it for advancing scientific knowledge, promoting crowd workers’ welfare, or predominantly for benefiting ourselves from the fast, cheap and “good” data via crowd work?

Concerns and recommendations for using Amazon MTurk for eating disorder research

OBJECTIVE

Our original aim was to validate and norm common eating disorder (ED) symptom measures in a large, representative community sample of transgender adults in the United States. We recruited via Amazon Mechanical Turk (MTurk), a popular online recruitment and data collection platform both within and outside of the ED field. We present an overview of our experience using MTurk.

METHOD

Recruitment began in Spring 2020; our original target N was 2,250 transgender adults stratified evenly across the United States. Measures included a demographics questionnaire, the Eating Disorder Examination-Questionnaire, and the Eating Attitudes Test-26. Consistent with current literature recommendations, we implemented a comprehensive set of attention and validity measures to reduce and identify bot responding, data farming, and participant misrepresentation.

RESULTS

Recommended validity and attention checks failed to identify the majority of likely invalid responses. Our collection of two similar ED measures, thorough weight history assessment, and gender identity experiences allowed us to examine response concordance and identify impossible and improbable responses, which revealed glaring discrepancies and invalid data. Furthermore, qualitative data (e.g., emails received from MTurk workers) raised concerns about economic conditions facing MTurk workers that could compel misrepresentation.

DISCUSSION

Our results strongly suggest most of our data were invalid, and call into question results of recently published MTurk studies. We assert that caution and rigor must be applied when using MTurk as a recruitment tool for ED research, and offer several suggestions for ED researchers to mitigate and identify invalid data.

Digital labour platforms in Pakistan: institutional voids and solidarity networks

Purpose

While digital labour platforms are being increasingly studied across the Global South, the existing literature does not conceptualise the theoretical link between such platforms and socio-economic development. This paper theorises such a link drawing on the notion of institutional voids defined, as in Khanna and Palepu (2010), as “the absence of intermediaries to efficiently connect buyers and sellers” in an economy. We frame digital labour platforms as means to fill institutional voids, seeking to create “development” in the form of earning opportunities in contexts of deprivation.

Design/methodology/approach

We draw on an interpretive case study of an online work training project in a deprived region of Pakistan, where members of marginalised communities were trained to become freelancers for global digital labour platforms. We use the notion of market-enabling institutions aimed at filling institutional voids as a lens to study the project's declared goals, examining the extent to which these were met in practice for the workers who participated in the training.

Findings

Our analysis reveals three types of market-enabling institutions–credibility enhancers, aggregators and distributors, and transaction facilitators–through which digital labour platforms seek to fill institutional voids. However, workers' narratives reveal that institutional voids are only partially filled by these platforms, and their perpetuation results in diverse forms of power asymmetries leveraged by clients and owners of the platforms. We also observe the formation of solidarity networks among workers, networks that are intra-familial and societal rather than characterised by formal unionisation.

Originality/value

The paper offers a novel perspective to theorise the link between digital labour and socio-economic development. Applying such a perspective in a Global South context, it also finds the limits of the digital platforms' institutional void-filling potential, highlighting the emergence of power asymmetries and the emerging formation of worker solidarity networks.

Individualism and Collectivism at Work in an Era of Deindustrialization: Work Narratives of Food Delivery Couriers in the Platform Economy

Supposedly emblematic of digital capitalism, the rise of the gig economy is frequently taken as a cipher for the developing deindustrialisation of western societies. It is tempting to interpret the shift of manufacturing jobs to the global south and their replacement with service sector jobs as a one-way street, leading to the demise of decent work and the rise of work characterized by precarity, low pay, low skill and a non-unionized workforce. However, the reality is inevitably more complex. In the first place, pessimism may be attributed to a rose-tinted view of the experience of former industrial employment in the global north resulting from a questionable assumption about the nature of the jobs that occupied most people in former industrial societies. Certainly, deindustrialisation is not leading to "de-working," that is, working less for the same money. With respect to gig work, autonomy and flexibility are central to labor inducement and hence labor control. Yet at the same time, and linked to the latter, we need to explore another deep-rooted phenomenon: the persistence of workspace collectivism. Our evidence derives from qualitative interviews with gig workers in the food delivery sector in a number of European countries. We highlight the extent to which couriers profess a variety of understandings of the character of platform economy labor processes. A range of narratives emerge including platform work as leisure, as economic opportunity, and as collectivist labor. Moreover, individuation, attendant upon the character of the physical labor process, did not lead in any straightforward way to individualism in social labor processes-contrary to our expectations, we in fact witnessed forms of collectivism. Collectivism is to be distinguished from "types of solidarity" described by Morgan and Pulignano (2020) whereby neo-liberalism has transformed a range of institutional forms of labor solidarities. By contrast, we are concerned with the persistence of the collective worker within the changing sociological structure of work. This echoes the earlier finding by Stephenson and Stewart (2001) that collectivism endures even when behaviourally absent and indeed even in the context of individualized working-termed "whispering shadow." Thus, the objective of the paper is to explore the forms of actor individualism and collectivism identified in our research. Given platform apps' external control, the gig economy spatially separates workers while at the same time requiring cognition of colleagues' collective work and labor process. Notwithstanding structural processes separating workers-in-work, platforms also witness the instantiation of forms of collectivism. Deindustrialisation is neither the end to collectivism nor trade unionism. Rather than post-work, then, we explore the problematics of plus work and variant collectivisms.

Good Gig, Bad Gig: Autonomy and Algorithmic Control in the Global Gig Economy

This article evaluates the job quality of work in the remote gig economy. Such work consists of the remote provision of a wide variety of digital services mediated by online labour platforms. Focusing on workers in Southeast Asia and Sub-Saharan Africa, the article draws on semi-structured interviews in six countries (N = 107) and a cross-regional survey (N = 679) to detail the manner in which remote gig work is shaped by platform-based algorithmic control. Despite varying country contexts and types of work, we show that algorithmic control is central to the operation of online labour platforms. Algorithmic management techniques tend to offer workers high levels of flexibility, autonomy, task variety and complexity. However, these mechanisms of control can also result in low pay, social isolation, working unsocial and irregular hours, overwork, sleep deprivation and exhaustion.

Abuse on online labour markets: targets’ coping, power and control

Purpose

The purpose of this paper is to report a study of targets’ experiences of cyberbullying on online labour markets (OLMs). In addition to highlighting the link between targets’ coping and power and control, the paper compares conventional and digital workplaces.

Design/methodology/approach

The method of critical hermeneutic phenomenology is used in the inquiry, bringing political and applied dimensions into the study. Targets’ lived experiences, developed as case studies, were explored via conversational interviews. Thematic analysis was undertaken ideographically, followed by ideology-critique at a nomothetic level. Adopting the psychological/behavioural lens of coping theory, ideology-critique identified micro-level schemas and macro-level ideologies that perpetuate target disenfranchisement. Critical hermeneutic phenomenology illuminates the mutuality between individual and social processes, opening new doors to address power inequities through emancipation.

Findings

Hermeneutic phenomenology uncovered the core theme of “pursuing holistic and long-term well-being”, capturing targets’ attempts at working through their experiences of bullying without jeopardising their position on the OLM. Ideology-critique went beyond highlighting problem-focussed and emotion-focussed coping strategies that empowered targets to indicate how participants’ mindsets, anchored in ongoing circumstantial discourses and long-standing social cognitions, inhibited them from questioning the status quo and exploring alternative coping strategies like legislation and collectivisation, thereby curbing their agency. The findings were theorised in terms of power and control vis-à-vis the unique attributes of workplace cyberbullying, comparing and contrasting conventional and virtual workplaces.

Research limitations/implications

The inquiry is limited to the Upwork platform. Including other OLMs will enhance theoretical generalisability.

Practical implications

The study feeds into praxis by alerting digital workers in general and targets in particular about their circumstances, setting the stage for mobilisation.

Originality/value

The study makes several pioneering contributions. First, it reports the first empirical inquiry examining bullying in digital workplaces, importantly, also extending knowledge on cyberbullying across conventional versus digital workplaces. Moreover, OLM research on abuse and harassment has not been undertaken so far. Second, methodologically, the inquiry illustrates the combination of hermeneutic phenomenology with ideology-critique, taking the rare steps of joining ontological perspectives conventionally viewed as divergent and of incorporating a largely neglected micro-level focus into ideology-critique. Third, it furthers theoretical insights into power and control in workplace bullying while drawing links with coping.

Systems Perspective of Amazon Mechanical Turk for Organizational Research: Review and Recommendations

Amazon Mechanical Turk (MTurk) is becoming a prevalent source of quick and cost effective data for organizational research, but there are questions about the appropriateness of the platform for organizational research. To answer these questions, we conducted an integrative review based on 75 papers evaluating the MTurk platform and 250 MTurk samples used in organizational research. This integrative review provides four contributions: (1) we analyze the trends associated with the use of MTurk samples in organizational research; (2) we develop a systems perspective (recruitment system, selection system, and work management system) to synthesize and organize the key factors influencing data collected on MTurk that may affect generalizability and data quality; (3) within each factor, we also use available MTurk samples from the organizational literature to analyze key issues (e.g., sample characteristics, use of attention checks, payment); and (4) based on our review, we provide specific recommendations and a checklist for data reporting in order to improve data transparency and enable further research on this issue.

An examination of the equivalency of self-report measures obtained from crowdsourced versus undergraduate student samples

Increasingly, researchers have begun to explore the potential of the Internet to reach beyond the traditional undergraduate sample. In the present study, we sought to compare the data obtained from a conventional undergraduate college-student sample to data collected via two online survey recruitment platforms. In order to examine whether the data sampled from the three populations were equivalent, we conducted a test of equivalency using inferential confidence intervals-an approach that differs from the more traditional null hypothesis significance testing. The results showed that the data obtained via the two online recruitment platforms, the Amazon Mechanical Turk crowdsourcing site and the virtual environment of Second Life, were statistically equivalent to the data obtained from the college sample, on the basis of means of standardized measures of psychological stress and sleep quality. Additionally, correlations between the sleep and stress measures were not statistically different between the groups. These results, along with practical considerations for the use of these recruitment platforms, are discussed, and recommendations for other researchers who may be considering the use of these platforms are provided.

A Comparison of Three Online Recruitment Strategies for Engaging Parents

Family scientists can face the challenge of effectively and efficiently recruiting normative samples of parents and families. Utilizing the Internet to recruit parents is a strategic way to find participants where they already are, enabling researchers to overcome many of the barriers to in-person recruitment. The present study was designed to compare three online recruitment strategies for recruiting parents: e-mail Listservs, Facebook, and Amazon Mechanical Turk (MTurk). Analyses revealed differences in the effectiveness and efficiency of data collection. In particular, MTurk resulted in the most demographically diverse sample, in a short period of time, with little cost. Listservs reached a large number of participants and resulted in a comparatively homogeneous sample. Facebook was not successful in recruiting a general sample of parents. Findings provide information that can help family researchers and practitioners be intentional about recruitment strategies and study design.