Search Results (38)

The digital labour economy is a system where work is mediated through digital technologies and online platforms. Work is often also called platform labour or gig work. China has brought out new labour protections to promote and support these new forms of employment (NFE) to address gaps in existing labour rights, personal data protection, and AI governance. However, a new type of work in the digital labour economy is creative digital platform work, which is distinct from other kinds of digital work and gig work that only uses AI and digital platforms to receive work, gigs, and tasks. Visual artists’ work is mediated by multiple digital software, AI programs, platforms, and apps. However, they do not have the usual ‘labour relationship’ like gig workers or platform labourers, as they are not employed by any single platform. Full article

This study examines how organizational models are evolving beyond post-Fordism in the context of digitalization, platformization, and new forms of labor governance. Using a bibliometric analysis of 1573 Web of Science publications, the article maps the intellectual genealogy, disciplinary foundations, and global collaborative patterns of research on the platform economy. The field has consolidated around three core concepts—platform economy, gig economy, and sharing economy—anchored in clusters focused on business models, labor precarity, and regulatory and governance debates. The analysis reveals a temporal shift from early narratives centered on sharing and collaborative consumption to contemporary concerns with algorithmic management, precarious work, and worker resistance. Parallel discussions of Industry 4.0 and 5.0 expose tensions between human-centered aspirations and the continued expansion of platform capitalism. The global landscape shows both vitality and asymmetry: China leads in empirical output, while the USA and England dominate theoretical agenda-setting and international collaboration. Overall, the findings demonstrate that platform research constitutes a mature, interdisciplinary field bridging labor sociology and management studies. The study calls for stronger integration of Global South perspectives and further examination of whether human-centered organizational visions can meaningfully counteract the structural inequalities embedded in platform-mediated work. Full article

This entry presents the history, geography, business, regulations, and the roles of gig workers, platform/algorithms, and employers, focusing primarily on the USA and the EU. The gig economy is informally referred to also as the fourth industrial revolution or the 1099 economy, emphasising sharing, freelance, or platform work; it is a complex and changing business model and regulatory environment. In practice, the gig economy refers to a tripartite relation between workers, platforms/apps, and employers, leading to a two-sided market, where algorithms match supply and demand for paid labour and clients. It is only recently that the gig economy has started to be conceptualised, and its implications, challenges, and impacts are captured in economic law and society, including the power dynamics related to the interplay between economics, technology, regulation, and communities. Conceptually, the gig economy is important, as small paid work has always been present in society for all types of workers and beneficiaries. This new business model of on-demand work has some perceived advantages, such as freedom of work, under-regulation, efficient use of capital, driving down costs, and improving services. However, there is a dualisation of anti-power between workers and non-employers that may lead to precarious work, less free workers, and shadow corporations that distort the market using game changers like digital management algorithms. Currently, the size of the gig economy comprises 154–435 million gig workers out of the world’s 3.63 bn workers, with a market size of USD 557 bn, and is still expanding. Full article

This study investigates the impact of employee well-being, work flexibility, and innovative work behavior on job performance among full-time and gig workers in digital businesses. A comparative analysis was conducted to examine potential differences between the two groups. A structured questionnaire was administered to 201 full-time employees in digital business system development and 199 gig workers from the IT Support Thailand group on Facebook using convenience sampling. The data were analyzed using multiple group structural equation modeling (MG-SEM) via partial least squares (PLS). The findings reveal that work flexibility boosts innovative work behavior, with gig workers showing greater adaptability than full-time employees. Innovative work behavior is positively linked to job performance, underscoring creativity’s role in organizational success. However, employee well-being and work flexibility did not demonstrate a significant direct effect on job performance. This study employed a sample of full-time and gig workers in Thai digital businesses, which may limit the generalizability of our findings to other industries or sectors. To enhance external validity, future research is recommended, including comparative studies across diverse employment forms and industries. Moreover, the adoption of a mixed-methods approach is encouraged to provide a more comprehensive understanding and broaden the scope of inquiry across multiple national contexts. Our findings underscore the need for policies that promote flexibility, well-being, and innovation to boost job performance. Digital business managers should foster adaptability, creativity, and support for both full-time and gig workers. An inclusive, balanced work environment can enhance performance, innovation, and satisfaction, helping organizations stay competitive in fast-changing markets. This study contributes to digital business research by examining the interplay between employee well-being, work flexibility, and innovative work behavior in determining job performance across different employment types. Full article

This study investigates how topic-specific expression by women delivery riders on digital platforms predicts their community engagement, emphasizing the mediating role of self-disclosure and the moderating influence of cognitive and emotional language features. Using unsupervised topic modeling (Top2Vec, Topical Vectors via Embeddings and Clustering) and psycholinguistic analysis (LIWC, Linguistic Inquiry and Word Count), the paper extracted eleven thematic clusters and quantified self-disclosure intensity, cognitive complexity, and emotional polarity. A moderated mediation model was constructed to estimate the indirect and conditional effects of topic probability on engagement behaviors (likes, comments, and views) via self-disclosure. The results reveal that self-disclosure significantly mediates the influence of topical content on engagement, with emotional negativity amplifying and cognitive complexity selectively enhancing this pathway. Indirect effects differ across topics, highlighting the heterogeneous behavioral salience of expressive themes. The findings support a statistically grounded, semantically interpretable framework for predicting user behavior in high-dimensional text environments. This approach offers practical implications for optimizing algorithmic content ranking and fostering equitable visibility for marginalized digital labor groups. Full article

Despite growing academic interest in platform work and the gig economy, most existing research focuses on Western Europe, often neglecting the unique institutional and socioeconomic contexts of Central and Eastern Europe. This study addresses that gap by exploring the working conditions of platform workers in Poland, with particular emphasis on both material and psychosocial dimensions from the workers’ own perspectives. Data were collected from a nationally representative sample of 450 platform workers engaged in both online and location-based tasks, using the computer-assisted web interviewing (CAWI) method. The findings show a high level of perceived autonomy, with 74% of respondents feeling that they are independent in their work. However, autonomy is often limited by external factors, in particular, the availability of work. Workers who treat platform work as a side job are significantly more likely to report a sense of autonomy. In terms of health and safety, only 27% expressed concerns about negative health impacts, and 24% reported poor working conditions. Those who received health and safety information from the platform were more likely to acknowledge potential risks. Interestingly, workers relying on platform work as their primary source of income were more likely to perceive their work as safe, compared to those treating it as supplementary employment. Full article

The gig economy, driven by flexible and platform-based work, is reshaping labor markets and employment norms. Understanding public perceptions of this shift is critical for promoting social good and informing equitable policy. This study employs big data analytics and Latent Dirichlet Allocation (LDA) topic modeling to analyze 15,259 tweets collected from the X platform. Seven key themes emerged from the data, including labor precarity, flexibility, algorithmic control, platform accountability, gender disparities, and worker rights. While some users emphasized autonomy and new income opportunities, most expressed concerns about job insecurity, lack of protections, and digital exploitation. These findings offer real-time insights into how gig work is discussed and contested in public discourse. The study highlights how social media analytics can inform labor policy, guide platform regulation, and support advocacy efforts aimed at building a fairer and more resilient gig economy. Full article

Background: Burnout represented a significant employee problem during the COVID-19 pandemic. Experiencing the psychological flow investigated by Csikszentmihalyi might avoid it. Yet, COVID-19 may have contributed to the unattainability of psychological flow for burnout-prone employees. The objective of this study is to determine the COVID-19 achievability of employee flow and, if attained, whether flow resulted in burnout avoidance during the pandemic. Method: This scoping review includes searches of six primary databases (CINAHL, OVID, ProQuest, PubMed, Scopus, Web of Science), two searches of one supplementary database (Google Scholar), and one register (Cochrane COVID-19 register) of the keywords “burnout, COVID-19, employees, healthcare providers, psychological flow, Csikszentmihalyi”. Included are peer-reviewed, COVID-19-related, 2020–2025 journal publications. Excluded are duplicates, non-COVID-19-related publications, reports lacking a research study, keywords, or relevant information. Results: In identifying 754 records, five records met the inclusion criteria. Mental healthcare practitioners, nurses, gig workers, corporate professionals, and working parents were the focus of the studies. Quantitative studies showed statistical significance. Qualitative studies showed promise for psychological flow mitigating burnout. Conclusions: Psychological flow was possible during COVID-19 for various employee types, and attaining it permitted burnout avoidance, suggesting a focus on achieving flow in the workplace during pandemics would diminish the incidence of employee burnout. Full article

In the platform economy, customers are the primary interaction partners of gig workers, and their behaviors and attitudes significantly influence gig workers’ work experiences and behavioral responses. Based on the stressor–emotion model and social exchange theory, this paper systematically explores the formation mechanism of customer-directed counterproductive work behavior. This study employs structural equation modeling to analyze survey data collected from 385 registered gig workers on crowdsourced delivery platforms in China. The results indicate that customer injustice increases gig workers’ negative emotions, perceived organizational injustice, and customer-directed counterproductive work behavior while decreasing customer commitment. Furthermore, negative emotions, perceived organizational injustice, and customer commitment mediate the relationship between customer injustice and customer-directed counterproductive work behavior. Additionally, job demands act as a buffering mechanism in the occurrence of customer-directed counterproductive work behavior. This study is the first to systematically focus on customer-directed counterproductive work behavior among crowdsourced delivery gig workers, enriching the existing literature. The findings provide practical insights for crowdsourced delivery platforms, aiding in understanding gig workers’ work psychology and optimizing labor management strategies. Full article

Technology has led to the advent of digitally enabled workforces like the gig workforce, but a number of issues confront this workforce. This study aims to identify the various issues facing the gig workforce as well as the regulatory measures and regulatory interactions proposed to guide stakeholders in addressing these challenges. This study is a review, with the methodology primarily based on secondary sources of data collection like journals and articles. This study reveals that the construction industry is not immune to the use of the gig workforce, as it often performs project-based construction work, jobs requiring highly specialized skills and commodity service jobs. This study also reveals that the gig workforce is confronted with primarily gig economy-induced platform-based challenges, such as the new nature of work, i.e., exploitative, precarious, and dangerous labour. Furthermore, this study also reveals that these issues can be addressed primarily through regulatory means and regulatory interactions between proposed regulatory measures and existing labour laws, which could be by Coordination, Competition, etc. This aligns with SDG 8, i.e., Decent Work and Economic Growth, as concerns issues related to their benefits, and SDG 10, i.e., Reduced Inequalities, as concerns issues related to their employment relations. The implication of this study for construction stakeholders relates to the development of new regulations and providing a valuable tool for analysing regulatory landscapes and understanding the dynamics of regulatory change, which contributes to scholarly discussions on fair labour practices and the protection of gig workers and helps inform policymaking that will help attract, motivate, retain, and engage more gig workers in the construction industry, which will foster proper workforce management. Full article

This study examines job satisfaction among mobile digital platform workers in Chile, addressing the gap in understanding the interplay between autonomy, social support, and technology in the platform economy. It explores how these factors shape job satisfaction through the following research question: How do autonomy, social support, and technological factors influence job satisfaction in the platform economy? Using a quantitative methodology, 398 platform workers from three Chilean regions participated in a survey, with data analyzed via logistic regression models to evaluate the impact of sociodemographic and psychological variables. The findings highlight that autonomy and social support significantly enhance job satisfaction, while technological usability and transformation are pivotal for positive work experiences. The study concludes that fostering worker autonomy, robust support systems, and user-friendly technologies is critical for improving job satisfaction in the gig economy. These insights contribute to the academic literature and inform strategies for policymakers and platform operators, emphasizing the need for tailored approaches to enhance worker well-being and organizational outcomes. Full article

As demand for privately organized care and domestic work has grown, digital platforms have emerged as key intermediaries connecting prospective workers with clients. Drawing on unique survey data collected in Germany in 2019, this study offers a systematic analysis of the sociodemographic characteristics of platform-mediated care and domestic workers, with particular focus on their family and household compositions and their motivations for using a digital care-work platform. The study’s findings reveal similarities between these workers, traditional care and domestic workers, and other platform workers in the gig economy. This study also focuses on how this work serves as a strategy for reconciling paid work with unpaid family responsibilities. Importantly, a noticeable proportion of the workers have unpaid care responsibilities for children or other family members and friends while pursuing platform work. When asked about their reasons for using a digital platform, the workers mostly name the income potential, job flexibility, and independence that this platform-mediated work provides. However, the motivations of different groups of workers vary: those with children more often value the balance of paid work and family life that this work offers, while financial incentives and professional development are less of a priority. Full article

Background: Children and young people’s (CYP) mental health is a policy priority, with rates of poor mental health reported to be as much as one in five across the UK. Traditional mental health support services cannot meet demand, and new approaches are needed. The creative arts can be an effective tool in supporting mental health. However, little is known about how live music can be used to support CYP mental health and wellbeing. We facilitated three, two-day intergenerational and multi-disciplinary workshops to co-produce ideas about how live music could be delivered to this end. Results: Workshops were held in three locations in Scotland, attended by a mixture of CYP, youth workers, mental health practitioners, teachers, and musicians (n = 91). A range of co-created solutions were generated including a live music festival designed for and with CYP and free gig tickets. Barriers and facilitators for CYP accessing live music were also identified. Furthermore, these workshops were found to increase confidence for musicians in delivering live music events to CYP, and CYP felt their voices were heard in their design of the delivery. Conclusions: This study presents novel co-created solutions about how live music can be delivered to CYP that need to be tried and tested in future research. It also provides key insights for musicians, live music providers, and people supporting CYP about the best approach to delivering live music for CYP. Full article

This study explores the dynamics of the collective agency among gig workers in the digital platform economy, focusing on three key research questions. First, it examines power dynamics, worker autonomy, and the role of social networks in mitigating power imbalances imposed by digital platforms. Second, it investigates how algorithmic management affects gig workers’ agency and their capacity for collective action. Lastly, it proposes directions for future research to address power imbalances and enhance worker empowerment. Using a systematic literature review (SLR) and bibliometric analysis of 59 scholarly articles, this study reveals that gig workers, despite the control exerted by opaque algorithms, leverage social networks to enhance their autonomy and bargaining power. These networks enable information sharing, negotiation strategies, and collective actions that challenge platform-driven power asymmetries. The study proposes a comprehensive framework illustrating the interplay of economic, technological, social, and regulatory forces affecting gig workers. These insights offer practical implications for policymakers and platform developers aiming to foster a more equitable gig economy. Future research should explore the long-term impacts on worker well-being and assess the effectiveness of regulatory interventions in addressing power imbalances. Full article

Algorithmic management, as a digital management tool in the gig economy, has become a hotspot of concern at the intersection of theory and practice. However, there is a lack of research on the mechanisms and boundary conditions through which algorithmic management affects gig workers’ job crafting. Based on the social information processing theory, this study constructed a dual-mediation model of how algorithmic management influences gig workers’ job crafting through gameful experience and perceived job autonomy. Data from 687 valid samples were collected through a two-stage survey and statistically analyzed using structural equation modeling (SEM). The results demonstrate that algorithmic management increases gig workers’ promotion-focused job crafting behaviors (increasing job resources and challenging job demands) by stimulating their gameful experiences and increases gig workers’ prevention-focused job crafting behaviors (decreasing hindering job demands) by inhibiting their perceived job autonomy. In addition, the higher-order personality trait core self-evaluation moderates the relationship between algorithmic management and gameful experience and perceived job autonomy, as well as the indirect effects of algorithmic management on job crafting through gameful experiences and perceived job autonomy. This study advances empirical research on algorithmic management in the field of the gig economy and human resource management practices. Crucially, it provides practical insights for optimizing algorithmic systems in platform companies, potentially enhancing their efficiency and economic benefits. Full article