Main Article Content
Abstract
The expansion of platform-based gig work offers greater work flexibility but also exposes workers to income instability that may affect their financial condition. This study examines the effects of perceived income instability and financial self-efficacy on financial well-being, with financial stress as a mediating mechanism among ride-hailing and delivery workers in Makassar, Indonesia. The study employed a quantitative explanatory-predictive approach using a two-wave time-lagged survey design. Data were collected from 280 eligible respondents and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4. The results show that perceived income instability positively affects financial stress but has no significant direct effect on financial well-being. In contrast, financial self-efficacy negatively affects financial stress and positively affects financial well-being, while financial stress has a significant negative effect on financial well-being. Mediation analysis reveals an indirect-only mediation effect of financial stress on the relationship between perceived income instability and financial well-being, whereas complementary mediation is found in the relationship between financial self-efficacy and financial well-being. The model explains 14.3% of the variance in financial stress and 37.6% of the variance in financial well-being and demonstrates out-of-sample predictive relevance. These findings extend the application of Conservation of Resources Theory by showing how threats to financial resource continuity and personal financial resources operate through financial stress in shaping the financial well-being of platform workers.
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References
- Ahmar, N., Dharma, A. S., & Darminto, D. P. (2026). Perceived income stability and financial security among gig workers in Indonesia: a socioeconomic and occupational analysis. Business: Theory and Practice, 27(1), 87–98. https://doi.org/10.3846/btp.2026.24901
- Aydemir Dev, M., Barca, O., Bayram Arlı, N., & Gürsakal, S. (2025). Examining the financial well-being in challenging economic conditions: structural equation modeling evidence from Türkiye. Future Business Journal, 11(1), 256. https://doi.org/10.1186/s43093-025-00676-7
- Botha, F., & De New, J. (2021). Proposal of a short form self-reported financial wellbeing scale for inclusion in the 2026 Census. Australian Population Studies, 5(1), 34–39. https://doi.org/10.37970/aps.v5i1.79
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- Cameron, L. D., & Meuris, J. (2026). The perils of pay variability: Determinants of worker aversion to variable compensation in low- and middle-wage jobs. PLOS One, 21(5), e0347194. https://doi.org/10.1371/journal.pone.0347194
- Cropanzano, R., Keplinger, K., Lambert, B. K., Caza, B., & Ashford, S. J. (2023). The organizational psychology of gig work: An integrative conceptual review. Journal of Applied Psychology, 108(3), 492–519. https://doi.org/10.1037/apl0001029
- Dare, S. E., van Dijk, W. W., van Dijk, E., van Dillen, L. F., Gallucci, M., & Simonse, O. (2023). How Executive Functioning and Financial Self-efficacy Predict Subjective Financial Well-Being via Positive Financial Behaviors. Journal of Family and Economic Issues, 44(2), 232–248. https://doi.org/10.1007/s10834-022-09845-0
- Gulati, A., & Singh, S. (2024). Financial self‐efficacy of consumers: A review and research agenda. International Journal of Consumer Studies, 48(2). https://doi.org/10.1111/ijcs.13024
- Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
- Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
- Hobfoll, S. E. (1989). Conservation of resources: A new attempt at conceptualizing stress. American Psychologist, 44(3), 513–524. https://doi.org/10.1037/0003-066X.44.3.513
- Hobfoll, S. E., Halbesleben, J., Neveu, J.-P., & Westman, M. (2018). Conservation of Resources in the Organizational Context: The Reality of Resources and Their Consequences. Annual Review of Organizational Psychology and Organizational Behavior, 5(1), 103–128. https://doi.org/10.1146/annurev-orgpsych-032117-104640
- IDinsight. (2025, March 15). Economic lives of digital platform gig workers: Case of motorbike on taxi and delivery drivers in Indonesia | IDinsight. Idinsight.Org. https://www.idinsight.org/publication/economic-lives-of-digital-platform-gig-workers-indonesia/
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- Khurana, D., & Sharma, K. (2026). Unpacking the self-regulatory processes associated with financial self-efficacy and financial well-being: evidence from an emerging-economy workplace setting. Future Business Journal, 12(1), 105. https://doi.org/10.1186/s43093-026-00822-9
- Maulana, D. Y., Fachmi, M., & Muhammad, M. (2026). Financial Self-Efficacy and Financial Well-Being among Generation Z Workers: The Mediating Role of Financial Stress. Amkop Management Accounting Review (AMAR), 6(1), 1138–1148. https://doi.org/10.37531/AMAR.V6I1.4180
- Ningtyas, A. P. (2026). Income Uncertainty, Customer Pressure, and Work Motivation as Drivers of Work Stress Among Online Drivers in Kendari. Journal of Applied Management and Business, 7(1), 103–116. https://doi.org/10.37802/jamb.v7i1.1429
- Permana, M. Y., Izzati, N. R., & Askar, M. W. (2022). Measuring The Gig Economy in Indonesia: Typology, Characteristics, and Distribution. Jurnal Manajemen Teknologi, 21(3), 339–358. https://doi.org/10.12695/jmt.2022.21.3.7
- Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
- Rahman, M., Isa, C. R., Masud, M. M., Sarker, M., & Chowdhury, N. T. (2021). The role of financial behaviour, financial literacy, and financial stress in explaining the financial well-being of B40 group in Malaysia. Future Business Journal, 7(1), 52. https://doi.org/10.1186/s43093-021-00099-0
- Sayre, G. M. (2023). The costs of insecurity: Pay volatility and health outcomes. Journal of Applied Psychology, 108(7), 1223–1243. https://doi.org/10.1037/apl0001062
- Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J.-H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347. https://doi.org/10.1108/EJM-02-2019-0189
- Simonse, O., Van Dijk, W. W., Van Dillen, L. F., & Van Dijk, E. (2024). Economic predictors of the subjective experience of financial stress. Journal of Behavioral and Experimental Finance, 42, 100933. https://doi.org/10.1016/j.jbef.2024.100933
- Sorgente, A., Zambelli, M., & Lanz, M. (2023). Are Financial Well-Being and Financial Stress the Same Construct? Insights from an Intensive Longitudinal Study. Social Indicators Research, 169(1–2), 553–573. https://doi.org/10.1007/s11205-023-03171-0
- van Dijk, W. W., van der Werf, M. M. B., & van Dillen, L. F. (2022). The Psychological Inventory of Financial Scarcity (PIFS): A psychometric evaluation. Journal of Behavioral and Experimental Economics, 101, 101939. https://doi.org/10.1016/j.socec.2022.101939
References
Ahmar, N., Dharma, A. S., & Darminto, D. P. (2026). Perceived income stability and financial security among gig workers in Indonesia: a socioeconomic and occupational analysis. Business: Theory and Practice, 27(1), 87–98. https://doi.org/10.3846/btp.2026.24901
Aydemir Dev, M., Barca, O., Bayram Arlı, N., & Gürsakal, S. (2025). Examining the financial well-being in challenging economic conditions: structural equation modeling evidence from Türkiye. Future Business Journal, 11(1), 256. https://doi.org/10.1186/s43093-025-00676-7
Botha, F., & De New, J. (2021). Proposal of a short form self-reported financial wellbeing scale for inclusion in the 2026 Census. Australian Population Studies, 5(1), 34–39. https://doi.org/10.37970/aps.v5i1.79
BPS. (2026). Statistik Ketenagakerjaan Kota Makassar 2025. https://makassarkota.bps.go.id/id/publication/2026/07/22/1d209d11fd5f65ad0b86d56f/statistik-ketenagakerjaan-kota-makassar-2025.html
Cameron, L. D., & Meuris, J. (2026). The perils of pay variability: Determinants of worker aversion to variable compensation in low- and middle-wage jobs. PLOS One, 21(5), e0347194. https://doi.org/10.1371/journal.pone.0347194
Cropanzano, R., Keplinger, K., Lambert, B. K., Caza, B., & Ashford, S. J. (2023). The organizational psychology of gig work: An integrative conceptual review. Journal of Applied Psychology, 108(3), 492–519. https://doi.org/10.1037/apl0001029
Dare, S. E., van Dijk, W. W., van Dijk, E., van Dillen, L. F., Gallucci, M., & Simonse, O. (2023). How Executive Functioning and Financial Self-efficacy Predict Subjective Financial Well-Being via Positive Financial Behaviors. Journal of Family and Economic Issues, 44(2), 232–248. https://doi.org/10.1007/s10834-022-09845-0
Gulati, A., & Singh, S. (2024). Financial self‐efficacy of consumers: A review and research agenda. International Journal of Consumer Studies, 48(2). https://doi.org/10.1111/ijcs.13024
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Hobfoll, S. E. (1989). Conservation of resources: A new attempt at conceptualizing stress. American Psychologist, 44(3), 513–524. https://doi.org/10.1037/0003-066X.44.3.513
Hobfoll, S. E., Halbesleben, J., Neveu, J.-P., & Westman, M. (2018). Conservation of Resources in the Organizational Context: The Reality of Resources and Their Consequences. Annual Review of Organizational Psychology and Organizational Behavior, 5(1), 103–128. https://doi.org/10.1146/annurev-orgpsych-032117-104640
IDinsight. (2025, March 15). Economic lives of digital platform gig workers: Case of motorbike on taxi and delivery drivers in Indonesia | IDinsight. Idinsight.Org. https://www.idinsight.org/publication/economic-lives-of-digital-platform-gig-workers-indonesia/
ILO. (2021, May 11). Memperluas cakupan perlindungan sosial bagi pekerja digital di Indonesia. International Labour Organization. https://www.ilo.org/resource/news/extending-social-protection-indonesian-digital-workers?lang=id
Khurana, D., & Sharma, K. (2026). Unpacking the self-regulatory processes associated with financial self-efficacy and financial well-being: evidence from an emerging-economy workplace setting. Future Business Journal, 12(1), 105. https://doi.org/10.1186/s43093-026-00822-9
Maulana, D. Y., Fachmi, M., & Muhammad, M. (2026). Financial Self-Efficacy and Financial Well-Being among Generation Z Workers: The Mediating Role of Financial Stress. Amkop Management Accounting Review (AMAR), 6(1), 1138–1148. https://doi.org/10.37531/AMAR.V6I1.4180
Ningtyas, A. P. (2026). Income Uncertainty, Customer Pressure, and Work Motivation as Drivers of Work Stress Among Online Drivers in Kendari. Journal of Applied Management and Business, 7(1), 103–116. https://doi.org/10.37802/jamb.v7i1.1429
Permana, M. Y., Izzati, N. R., & Askar, M. W. (2022). Measuring The Gig Economy in Indonesia: Typology, Characteristics, and Distribution. Jurnal Manajemen Teknologi, 21(3), 339–358. https://doi.org/10.12695/jmt.2022.21.3.7
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
Rahman, M., Isa, C. R., Masud, M. M., Sarker, M., & Chowdhury, N. T. (2021). The role of financial behaviour, financial literacy, and financial stress in explaining the financial well-being of B40 group in Malaysia. Future Business Journal, 7(1), 52. https://doi.org/10.1186/s43093-021-00099-0
Sayre, G. M. (2023). The costs of insecurity: Pay volatility and health outcomes. Journal of Applied Psychology, 108(7), 1223–1243. https://doi.org/10.1037/apl0001062
Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J.-H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347. https://doi.org/10.1108/EJM-02-2019-0189
Simonse, O., Van Dijk, W. W., Van Dillen, L. F., & Van Dijk, E. (2024). Economic predictors of the subjective experience of financial stress. Journal of Behavioral and Experimental Finance, 42, 100933. https://doi.org/10.1016/j.jbef.2024.100933
Sorgente, A., Zambelli, M., & Lanz, M. (2023). Are Financial Well-Being and Financial Stress the Same Construct? Insights from an Intensive Longitudinal Study. Social Indicators Research, 169(1–2), 553–573. https://doi.org/10.1007/s11205-023-03171-0
van Dijk, W. W., van der Werf, M. M. B., & van Dillen, L. F. (2022). The Psychological Inventory of Financial Scarcity (PIFS): A psychometric evaluation. Journal of Behavioral and Experimental Economics, 101, 101939. https://doi.org/10.1016/j.socec.2022.101939