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This study aims to explore the human resource management (HRM) practices related to training and feedback in the app work industry, specifically in online food delivery service, and investigate the emotional and behavioral responses of gig workers.

This study adopts a qualitative approach by interviewing 19 gig workers from six food delivery firms operating in different countries.

The results show limited training and feedback opportunities are provided to app workers, although the complexity of training and delivery methods differ across platforms. To address this shortage, app workers developed response strategies relying on social interaction.

This study adds to the research on HRM practices in the gig economy by portraying the way in which training and feedback unfold in the food delivery app ecosystem and by disclosing the gig workers’ emotional and behavioral responses to it.

This study shows that the way training activities are currently designed may provide little value to the ecosystem and are likely to produce negative emotional responses in gig workers. Thus, platform providers may make use of these findings by introducing more transparent feedback and social learning opportunities.

To the best of the authors’ knowledge, this study is among the first empirical studies on online delivery gig workers addressing specific HRM practices. It reveals significant insights for training and feedback, suggesting app economy characteristics strongly affect training and feedback practices for app workers.

This study aims to synthesize existing findings in the gig worker training literature and identify the training rationales adopted by these studies, using a synthesized framework of organizational training rationales. This study seeks to delineate the rationales behind gig worker training and highlight unaddressed training needs within digital platforms, ultimately proposing a research agenda for future studies in this area.

A systematic review methodology is adopted to synthesize and analyze empirical, peer-reviewed studies on gig worker training.

The systematic review reveals that competency and economic rationales are predominantly adopted in gig worker training studies, with the relationship rationale, common in traditional training, notably absent. This study also outlines seven future research directions to highlight identified challenges and unaddressed training needs.

To the best of the author’s knowledge, this study is the first work that systematically reviews existing findings on gig worker training.

This paper aims to provide a critical reflection on the impact of the gig economy on the hospitality workforce. The impact of the gig economy on hospitality workforce management is explored, with the paper delving into both theoretical insights and practical implications.

This paper offers reflections on the emerging trend of the gig economy and its impacts on the hospitality workforce, based on evidence collected from the selected literature, industry report and authors’ personal reflections. A micro-meso-macro analytical framework was also applied to assist authors in building the arguments and propositions.

The findings not only revealed the impacts of the gig economy on the hospitality workforce at micro-meso-macro levels but also underscored its close relationships with various concepts in the hospitality management literature. Both future research directions and practical implications are provided.

Amid the gig economy’s transformative influence, stakeholders must continually innovate for an empowering and secure work environment. A holistic approach is necessary to establish a harmonious gig ecosystem, ensuring fair treatment, benefits and protection for workers while fostering growth and well-being.

Throughout the paper, a critical reflection on the impact of the gig economy on the hospitality workforce is presented, along with suggestions for coping with current labor issues in hospitality and tourism. Future research directions are outlined.

Digital labor platforms (DLPs) are transforming the nature of the work for an increasing number of workers, especially through extensively employing automated algorithms for performing managerial functions. In this novel working setting – characterized by algorithmic governance, and automatic matching, rewarding and punishing mechanisms – gig-workers play an essential role in providing on-demand services for final customers. Since gig-workers’ continued participation is crucial for sustainable service delivery in platform contexts, this study aims to identify and examine the antecedents of their working outcomes, including burnout and engagement.

We suggested a theoretical framework, grounded in the job demands-resources heuristic model to investigate how the interplay of job demands and resources, resulting from working in DLPs, explains gig-workers’ engagement and burnout. We further empirically tested the proposed model to understand how DLPs' working conditions, in particular their algorithmic management, impact gig-working outcomes.

Our findings indicate that job resources – algorithmic compensation, work autonomy and information sharing– have significant positive effects on gig-workers’ engagement. Furthermore, our results demonstrate that job insecurity, unsupportive algorithmic interaction (UAI) and algorithmic injustice significantly contribute to gig-workers’ burnout. Notably, we found that job resources substantially, but differently, moderate the relationship between job demands and gig-workers’ burnout.

This study contributes a theoretically accurate and empirically grounded understanding of two clusters of conditions – job demands and resources– as a result of algorithmic management practice in DLPs. We developed nuanced insights into how such conditions are evaluated by gig-workers and shape their engagement or burnout in DLP emerging work settings. We further uncovered that in gig-working context, resources do not similarly buffer against the negative effects of job demands.

Despite the popularity of gig employment amid the changing business landscape, gig scholarship is somewhat limited and the untold reality about gig is yet to be fully revealed. This study aims to critically address the nature of gig employment, its ambiguities, evolution, theoretical premises and the appropriate future road ahead.

This paper adopts a dual analytical approach – bibliometric and thematic analyses. After incorporating the exclusion–inclusion criteria, the authors identified 2,135 articles for the bibliometric analyses by using VOSviewer. Additionally, for the deep-delving synthesis, the authors conducted thematic analyses following Braun and Clarke (2006), based on 351 papers.

The findings revealed that gig work, in its different forms, is emerging as an alternative work arrangement with respect to the future of work. This study also identified multilevel perspectives of gig employment along with its holistic nomological network. Finally, this study offers some critical research directions that should help enhance the theoretical and practical strengths of this nascent scholarship in future.

The review findings are limited in nature owing to the paucity of quality research papers published in the said domain.

The paper brings more clarity to what gig is and isn’t, along with its critical perspectives from multilevel lenses.

This paper identifies critical perspectives related to gig work and suggests appropriate directions for future gig work related scholarship.

This chapter addresses the two important themes that we believe characterise how the platform-based gig economy operates. The first of the two themes explores the shifting boundaries of the triangular business model and its place within the wider, evolving capitalist structure. The triangular business model is the foundation of the platform-based gig economy and consists of the digital platform, the producer/worker and the end consumer. The digital platform acts as the intermediary and provides a market for exchange of goods and services between the workers and the end consumers. The fluidity of the triangular relationship has left the platform-based gig economy beyond the reach of the traditional neo-liberal regulatory system leading to the blurring of employee and employer relations. The second theme is based on the exploration and application of the Marxist concept of surplus value creation and its appropriation within the gig structure. Here, the authors seek to show the exploitation of the worker as a participant in the triangular business model. Given that the worker bears the majority of the entrepreneurial risk and provides capital they ought to receive a proportion of the surplus value created from the transaction. The authors have established the increasing dominance of platforms within the triangular business model and the enhanced scope for exploitation of workers in form of poor remuneration standards due to employee status ambiguity and the appropriation of a disproportionate amount of surplus value flowing to the platform owners.