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      Gender differences in job satisfaction among gig workers in Bangladesh

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          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.

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          bibliometrix : An R-tool for comprehensive science mapping analysis

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            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.
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              Job satisfaction and gender: Why are women so happy at work?

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                Author and article information

                Contributors
                mdrouf_bau@yahoo.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                25 July 2024
                25 July 2024
                2024
                : 14
                : 17128
                Affiliations
                [1 ]GRID grid.419387.0, ISNI 0000 0001 0729 330X, Sustainable Impact Platform, , International Rice Research Institute, ; Dhaka, 1213 Bangladesh
                [2 ]Department of Agricultural and Applied Statistics, Bangladesh Agricultural University, ( https://ror.org/03k5zb271) Mymensingh, 2202 Bangladesh
                [3 ]School of Economics, Zhongnan University of Economics and Law, ( https://ror.org/04yqxxq63) Wuhan, 430073 China
                [4 ]Agricultural Economics Division, Bangladesh Rice Research Institute, ( https://ror.org/01zmzpt10) Gazipur, 1701 Bangladesh
                [5 ]Department of Agricultural Economics and Agribusiness, University of Arkansas, ( https://ror.org/05jbt9m15) Fayetteville, AR 72701 USA
                [6 ]Agricultural Statistics Division, Bangladesh Rice Research Institute, ( https://ror.org/01zmzpt10) Gazipur, 1701 Bangladesh
                [7 ]Department of Computer Science and Engineering, Jagannath University, ( https://ror.org/02c4z7527) Dhaka, 1100 Bangladesh
                [8 ]GRID grid.419387.0, ISNI 0000 0001 0729 330X, Impact, Policy, and Foresight Department, , International Rice Research Institute, ; Dhaka, 1213 Bangladesh
                Article
                68327
                10.1038/s41598-024-68327-5
                11272942
                39054341
                cb22dd50-8011-4230-ab73-49b141e60f1d
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

                History
                : 14 October 2023
                : 22 July 2024
                Categories
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                © Springer Nature Limited 2024

                Uncategorized
                digitalization,employment,gender,gig economy,job satisfaction,online job,human behaviour,psychology and behaviour

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