Literature review:
Introduction
Working today is a lot different, from what it was in 2000’s or in 2010’s. The modern gig
economy wherein work is temporary, task-oriented, and frequently digitally mediated, has
changed classic ideas about work. By platform technology, gig labour involves large range of
employment situations from ride-hailing to food delivery to freelance consulting and
academic adjunction. This sudden transformation has led researchers to reconsider
concepts in management, HRM, labour economics, and organizational theory. As gig
economy puts assumptions about authority, autonomy, security, and career growth into a
conundrum, it is clear that new logics are required in order to better comprehend the modern
labour market.
This review is written with objective of understanding the dominant conceptual and
theoretical perspectives on gig labour. This includes both older management theory and
newer approaches. It highlights how new types of digital mediation stretch old paradigms
and identifies important conceptual gaps for future research.
Literature present
Classical and Evolving Theories of Management
Classical management theories from Henri Fayol describes an organization with identifiable
structures 1. hierarchy, 2. centralism, and 3. clearly articulated command chain. Previous
theories have provided the basis for assumptions of job security, supervision, and loyalties in
industries and organizations for decades (Fayol as discussed in Smith, 2022). Gig work
compounded with digital advancements fundamentally disrupts the structure of traditional
work.
Under the gig economy management is frequently 'outsourced' to algorithms that sequence
work, monitor the behaviours of workers and enforce certain standards without overt human
mediation (Veen et al., 2020). Supervisors, as mediators, are less visible, and organizational
power has shifted to virtual code from physical places. The literature is uncertain as to
whether classical models based in employment stability and direct management remain
useful or whether innovative frameworks are needed to understand a dispersed and
transient workforce.
The Platform Ecosystem Model
Basing itself on these advances, researchers increasingly theorize gig work as situated
within platform ecosystems (Lehdonvirta, 2021). Contrary to conventional work, based on
dyadic coordination between employers and employees, the platform ecosystem approach
argues that a complex network of actors—workers and consumers, platform owners, app
developers, and even regulators—co-create and co-regulate work relations (Wood &
Lehdonvirta, 2019). Through these ecosystems, platforms act as "market-makers," setting
rules, making exchanges possible, and mediating relationships via digital infrastructure. Core
HRM processes like recruiting, training, reviewing, and even conflict resolution are
increasingly 'technologically mediated' and distributed throughout the ecosystem. The
implications are enormous: accountability becomes diffuse; power converges into code and
a user interface; and formal legal obligations are vague and potentially contested. While this
model offers rapid problem solving and work without 'friction' for the user, it is also a barrier
to traditional forms of worker representation and complicates regulatory enforcement
(Lehdonvirta, 2021; Wood & Lehdonvirta, 2019). This literature advocates for modernized
HRM that considers multiple stakeholders and the importance of technological governance.
Algorithmic Management and Control
One of the unique features of gig labor is the development of algorithmic management,
where key supervisory functions—like assignment, assessment, and punishment—are
contracted out to computer systems (Veen et al., 2020; Rosenblat & Stark, 2023). Algorithms
assign tasks, collect data and distribute rewards with limited use of human judgment.
On the one hand, such mechanisms provide for a hitherto unmatched degree of efficiency
and scalability, with platforms keeping millions of global workers in real-time. On the other
hand, researchers highlight grave issues regarding transparency, justice, and due process;
workers are often put in a "black-box" situation, thus unable to contest or even understand
the basis of significant decisions (Veen et al., 2020; Dillahunt & Malone, 2022). Critics argue
that algorithmic management creating new challenges, like- gig workers are at risk of instant
deactivation, unpredictable pay, and gamified "nudges" that can erode their agency
(Rosenblat & Stark, 2023).
Boundaryless Careers and Labor Fluidity
The concept of the boundaryless career is well known within management literature: (1) a
modernization of career meaning whereby workers are able to create their own self-directed,
flexible and cross-organizational career trajectories (Ashford et al., 2018). Gig work is often
framed by platforms to exemplify this would-be flexibility, suggesting that gig work gives
workers control over when, where and how to work. Yet, empirical and theoretical studies
highlight serious issues with this discourse. Evidence has consistently shown that while gig
work does provide job-switching flexibility and schedule flexibility, including the ability to "turn
off" work at any particular moment, gig work dramatically lacks opportunities for skill
development, career advancement, or some level of job-related economic stability or
security (Ashford et al., 2018; Kezar & Maxey, 2016).
Gender, Migration, and Intersectionality
Increasing scholarship analyzes the differential effects of gig work through gender, migration,
and intersectional lenses (Kabeer, 2015; Anderson & Agyeman, 2020). Global research
illustrates that women and migrants are disproportionately concentrated in the most insecure
and low-paid segments of the gig economy, including care work, domestic work, and microtasking platforms. Gendered and racialized inequalities are also heightened by
discriminatory algorithms, resource access, and social norms, although the so-called
"neutrality" of platforms has a tendency to veil these inequalities.
Gig Economy in Academia and Other Specialized Contexts
Related work explores the adoption of gig labor styles in nontraditional fields, e.g. higher
education. The adjunctification of academia (Kezar & Maxey, 2016) demonstrates how gigtype structures are merging with spaces formerly associated with stable employment and
professional identity. Adjunct and part-time faculty are increasingly experiencing conditions
like those in platform and gig labor: precarity, no benefits and unclear professional status.
Theoretically, these analyses therefore expand critiques of gig economy work across
sectors, demonstrating how the logics of digital capitalism are transforming more expansive
areas of the labor market.
Literature Gap



Comparative and Longitudinal Analyses: The bulk of conceptual work remains
platform, city, or territory centric. Comparative cross-platform, cross-country, crossregime, and cross-time analyses remain underdeveloped.
Worker Agency and Collective Action: Worker agency is not well covered in research,
while managerial and structural rationalities prevail. Further research is required on
gig worker unions and adaptation to technology.
Algorithmic Transparency and Ethics: With the growth of algorithmic control in
sophistication, the underlying rationale and ethics of trade-offs are not well theorized.
Conclusion
Theoretical and conceptual scholarship on the gig economy describes a turn away from
industrial age paradigms toward new ones centered on ecosystem logic, digital regulation,
and labor insecurity. Theoretical developments identify tensions among flexibility and risk,
technology-enabled efficiency and worker disenfranchisement, and formal and informal
regulation. While scholars increasingly call for intersectional, ecosystem-oriented, and
participatory approaches, current frameworks remain in the rearview mirror of rapid
innovation and globalization of gig working arrangements. Closing the perceived gaps—most
notably through comparative, global, and worker-centered analysis—will be essential to both
theoretical and policy development in the near future.
References
16. Chatterjee, D., & Dwivedi, Y. K. (2023). Gig work: A bibliometric systematic literature
review and content analysis. International Journal of Information Management, 73,
102520. https://doi.org/10.1016/j.ijinfomgt.2023.102520
17. Smith, J. D. (2022). What Henri Fayol couldn’t know: Managing gig workers in the
new economy. Journal of Modern Management Studies, 18(3), 122–134.
18. Chan, J., & Li, S. (2021). Putting teams into the gig economy: A field experiment at a
ride-sharing platform. Management Science, 67(8), 4810–
4829. https://doi.org/10.1287/mnsc.2021.3912
19. Anderson, B., & Agyeman, J. (2020). At your service: The mobilities, rhythms and
everyday lives of migrant labour in the gig economy. Work, Employment and Society, 34(2),
264–280. https://doi.org/10.1177/0950017020902962
20. Kuhn, K. M., & Maleki, A. (2017). Micro-entrepreneurs, dependent contractors, and
instaserfs: Understanding online labor platform workforces. Academy of Management
Perspectives, 31(3), 183–200. https://doi.org/10.5465/amp.2015.0111
21. Veen, A., Barratt, T., & Goods, C. (2020). Technologically mediated human resource
management in the gig economy. In A. Wood & M. Lehdonvirta (Eds.), Work and
Labor in the Digital Age (pp. 45–68). Emerald Publishing.
22. Kezar, A., & Maxey, D. (2016). The gig economy comes to academia: Job satisfaction
among adjunct faculty. Change: The Magazine of Higher Learning, 48(3), 26–
35. https://doi.org/10.1080/00091383.2016.1170465
23. Ashford, S. J., Caza, B. B., & Reid, E. M. (2018). Boundaryless careers in the gig
economy: An oxymoron? Work and Occupations, 45(1), 3–
36. https://doi.org/10.1177/0730888417739384
24. Kabeer, N. (2015). Gender, globalisation and development: a re-evaluation of the
nature of women's global work. Progress in Development Studies, 15(1), 1–
13. https://doi.org/10.1177/1464993414546973
25. Dillahunt, T. R., & Malone, A. R. (2022). The impact of behavioral and economic
drivers on gig economy workers. Journal of Human-Computer Interaction, 38(2),
210–232. https://doi.org/10.1080/07370024.2022.2044567
26. Rosenblat, A., & Stark, L. (2023). Designing individualized policy and technology
interventions to improve gig work conditions. Policy & Internet, 15(1), 30–
53. https://doi.org/10.1002/poi3.299
27. Lehdonvirta, V. (2021). Conceptualizing human resource management in the gig
economy: Toward a platform ecosystem perspective. Human Resource Management
Review, 31(1), Article 100694. https://doi.org/10.1016/j.hrmr.2020.100694
28. Wood, A. J., & Lehdonvirta, V. (2019). Fit into work! From formalizing governance of
gig platform ecosystems to helping gig workers craft their platform work. Research in
the Sociology of Work, 33, 1–22. https://doi.org/10.1108/S0277283320190000033001
29. Guest, D. E. (2017). Human resource management and employee well‐being:
towards a new analytic framework. Human Resource Management Journal, 27(1),
22–38. https://doi.org/10.1111/1748-8583.12139
30. Singh, N., Singh, K., & Parmar, H. (2024). Leveraging brand reputation for job
engagement in the digital food delivery context. Acta Psychologica, 251,
104615. https://doi.org/10.1016/j.actpsy.2024.104615