Evidence map›Paper›PMID 39054341›Full record

ArticleScientific reports2024

Gender differences in job satisfaction among gig workers in Bangladesh.

Mou Rani Sarker, Tanjum Afrin Taj, Md Abdur Rouf Sarkar, Md Fuad Hassan, Andrew M McKenzie, Md Abdullah Al Mamun, Dweep Sarker, Humnath Bhandari

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Invisible burdens of platform work: a qualitative study of food-delivery riders' lived experiences in urban India.International journal of qualitative studies on health and well-being · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Mou Rani SarkerSustainable Impact Platform, International Rice Research Institute, Dhaka, 1213, Bangladesh.
Tanjum Afrin TajDepartment of Agricultural and Applied Statistics, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh.
Md Abdur Rouf SarkarSchool of Economics, Zhongnan University of Economics and Law, Wuhan, 430073, China. mdrouf_bau@yahoo.com.
Md Fuad HassanDepartment of Agricultural and Applied Statistics, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh.
Andrew M McKenzieDepartment of Agricultural Economics and Agribusiness, University of Arkansas, Fayetteville, AR, 72701, USA.
Md Abdullah Al MamunAgricultural Statistics Division, Bangladesh Rice Research Institute, Gazipur, 1701, Bangladesh.
Dweep SarkerDepartment of Computer Science and Engineering, Jagannath University, Dhaka, 1100, Bangladesh.
Humnath BhandariImpact, Policy, and Foresight Department, International Rice Research Institute, Dhaka, 1213, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

EmploymentJob SatisfactionAdultBangladeshFemaleHumansIncomeMaleMiddle AgedMotivationSex FactorsSurveys and QuestionnairesWork-Life BalanceYoung AdultDigitalizationEmploymentGenderGig economyJob satisfactionOnline job

Identifiers

PMID39054341
PMCPMC11272942

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.