DEMAND CHANGES DETERMINANTS FOR FREELANCERS IN THE CONTEXT OF THE DEVELOPMENT OF THE GIG ECONOMY AS A NON-STANDARD EMPLOYMENT FORM
PDF (Russian)
XML (Russian)

Supplementary Files

Список источников (Russian)
References

Keywords

Gig economy, freelancing, labor market, labor demand, factor analysis, multiple regression model.

How to Cite

DEMAND CHANGES DETERMINANTS FOR FREELANCERS IN THE CONTEXT OF THE DEVELOPMENT OF THE GIG ECONOMY AS A NON-STANDARD EMPLOYMENT FORM. (2025). Management Issues, 19(3), 107-125. https://voprosy-upravleniya.owebs.ru/article/view/1282

Abstract

Introduction. Digitalization and instability of international markets contribute to the growth of non-standard forms of employment in order to provide citizens with additional income, so the purpose of this study is to find factors that influence the change in the number of freelancers officially employed in organizations. Identifying the determinants of growth will help to determine the mechanisms for regulating and controlling the freelance market in Russia in order to protect the social and labor rights of freelancers as employees.

Materials and methods. Basing on the study of domestic and foreign scientific papers, as well as previously conducted author's studies of changes in the conditions for the development of the gig economy in general, and the freelance market in particular, a number of factors were identified for constructing a multiple regression model and identifying the determinants of growth in demand for freelance services on the part of organizations.

Results and conclusions. Factor analysis made it possible to identify the determinants of growth and decline in demand for freelancers among companies in order to forecast changes in the number of temporary workers employed by organizations and to develop timely government support measures to reduce the burden on judicial authorities when resolving labor disputes involving freelancers, as well as to prevent other negative consequences associated with the lack of protection of such workers by the Labor Code of the Russian Federation. During the analysis of the research results, two groups of determinants of growth in demand for freelancers were identified: real (global network interaction index and the level of digitalization of government institutions) and potential (urbanization level and GDP per capita). At the same time, the following factors were identified that reduce demand for freelance services: unemployment rate, average wage level, country's R&D expenditure level, life quality level.

Discussion. Tracking changes in the identified determinants will help to determine the number of temporary workers deprived of social guarantees provided by a full-time employee and assess the degree and likelihood of the risk of negative consequences when the number of freelancers working for an organization increases. For example, unequal conditions for the performance of labor functions by temporary and full-time employees can disrupt a healthy atmosphere in work collectives, thereby reducing labor productivity and efficiency, leading to labor disputes, involving both parties to social and labor relations in litigation that requires a constant expenditure of the organization's resources, etc.

 

PDF (Russian)
XML (Russian)

References

Лапидус Л. В., Полякова Ю. М. Гигономика: новые возможности для цифровой трансформации бизнеса в условиях высокой турбулентности цифровой среды // Вестник Института экономики Российской академии наук. 2022. № 5. С. 23–46. DOI 10.52180/2073-6487_2022_5_23_46. EDN LXIBID.

Alvarez De La Vega, Juan, Marta Cecchinato, John Rooksby (2021). “Why lose control?” A Study of Freelancers’ Experiences with Gig Economy Platforms // Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, Yokohama, Japan, May. 455. P. 1–14. DOI https://doi.org/10.1145/3411764.3445305.

Akhmaeva L. G. (2024). Promotion of freelance services in the digital environment // Digital sociology. 7(1). P. 41–47. DOI 10.26425/2658-347X-2024-7-1-41-47. EDN CLEGPD.

Ke, T. T., Zhu, Yu. (2021). Cheap Talk on Freelance Platforms // Management Science. 67: 5901-20. P. 45. DOI http://dx.doi.org/10.2139/ssrn.3371935.

Wagner, G., Prester, Ju., Pare G. (2021). Exploring the boundaries and processes of digital platforms for knowledge work: A review of information systems research // The Journal of Strategic Information Systems. 30: 101694. P. 47. DOI 10.1016/j.jsis.2021.101694.

Holtz, D. M., Scult, L., Suri, S. (2022) How Much Do Platform Workers Value Reviews? An Experimental Method. Paper presented at the 2022 CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, April 28. P. 1–11. DOI 10.1145/3491102.3501900.

Полякова Ю. М. Макроэкономические условия развития краудсорсинга: модель множественной регрессии // Экономика и предпринимательство. 2016. № 10 (ч. 3) (75-3). С. 809–811. EDN WXMFSJ.

Шевчук А. В., Красильникова А. В. Влияние нестандартных трудовых графиков на баланс между работой и жизнью (по данным европейского социального исследования в России) // Журнал исследований социальной политики. 2019. Т. 17, № 2. С. 223–236. DOI 10.17323/727-0634-2019-17-2-223-236. EDN SMVOOJ.

Абдреисова Д. Ж., Байтенизов Д. Т., Азатбек Т. А., Валиева С. Н. Факторы развития рынка фриланс-услуг // Экономика: стратегия и практика. 2021. 16 (4). С. 188–207. DOI 10.51176/1997-9967-2021-4-188-207. EDN EFHCHJ.

Gupta, V., Fernandez-Creuet J. M., Gupta Ch., Hanne T. (2020) Freelancing models for fostering innovation and problem solving in software startups: An empirical comparative study // Sustainability. 12 (23), 10106. DOI 10.3390/su122310106.

Jie, R., Raghupathi, V., Raghupathi, W. (2023). Exploring Influential Factors in Hiring Freelancers in Online Labor Platforms: An Empirical Study // Economies. 11 (3), р. 80. DOI 10.3390/economies11030080. EDN GHNORT.

Тагаров Б. Ж. Факторы развития рынка фриланса в информационной экономике // Креативная экономика. 2018. Т. 12, № 10. C. 1703–1714. DOI 10.18334/ce.12.10.39450. EDN YOFFWP.

Стребков Д. О., Шевчук А. В., Спирина М. О. Самостоятельная занятость на рынке удаленной работы: распространение инновационной трудовой практики // Мониторинг общественного мнения: экономические и социальные перемены. 2016. № 6 (136). С. 88–105. DOI 10.14515/monitoring.2016.6.06. EDN YORVML.

Dunn, M., Fabian, S., Sawyer, S., Munoz, I., Raheja, R., Vaccaro, G., Lehdonvirta, V. (2020). When Motivation Becomes Desperation: Online Freelancing during the COVID-19 Pandemic. Available online: https://osf.io/ preprints/socarxiv/67ptf/. P. 1–32. DOI 10.31235/osf.io/67ptf.

Burke, A., Cowling, M. (2020). The relationship between freelance workforce intensity, business performance and job creation // Small Business Economics. 55 (2), P. 399–413. DOI 10.1007/s11187-019-00241-x. EDN WNUJEX.

Полякова Ю. М. Гигономика в приоритетных отраслях и сферах экономики: спрос на фрилансеров и краудсорсеров // Интеллект. Инновации. Инвестиции. 2024. № 2. С. 33–42. DOI 10.25198/2077-7175-2024-2-33. EDN FZGXKX.

Дрокина К. В. Факторы, влияющие на развитие рынка фриланса в России // Электронный научный журнал «Вектор экономики». 2021. № 3. С. 1–6. DOI 10.51691/2500-3666_2021_3_8. EDN NTZWYE.

Мрачковский А. Е., Телятникова Т. В., Абдреисова Д. Ж. Особенности развития и применения фриланса в современных условиях // Экономика труда. 2023. Том 10, № 1. С. 121–134. DOI 10.18334/et.10.1.116985. EDN ZGZWUK.

Чечулина М. Ю. Фриланс как развивающаяся форма модернизации экономической активности // Экономика труда. 2016. Т. 3, № 3. С. 293–306. DOI 10.18334/et.3.3.36892. EDN XHGNDH.

Луданик М. В., Решетова Е. И. Удаленная работа как возможность формирования занятости в условиях неравномерного распределения плотности населения // Вестник Московского университета. Серия 6: Экономика. 2021. № 1. С. 148–167. DOI 10.38050/01300105202117. EDN RTRMSM.

Hudec, I., Tominc, P., Sirec, K. (2021). The Human Capital of the Freelancers and Their Satisfaction with the Quality of Life // Sustainability. 13. 11490. DOI 10.3390/su132011490.

Стребков Д. О., Шевчук А. В. Трудовые траектории самозанятых профессионалов (фрилансеров) // Мир России. 2015. Т. 24, № 1. С. 72–100. EDN TLOJZV.

Золотина О. А., Черных Е. А. Качество занятости на цифровых платформах труда: подходы к измерению и оценки по странам БРИКС // Уровень жизни населения регионов России. 2024. Т. 20, № 2. С. 211–227. DOI 10.52180/1999-9836_2024_20_2_6_211_227. EDN GXKABK.

Zolotina О., Razumova Т., Sotnikov Ya. Et al. Digital transformation of high-performing teams // Population and Economics. 2023. Vol. 7, № 2. P. 60–93. DOI 10.3897/popecon.7.e98911. EDN HSOYZI.

Lapidus, L. V., Polyakova, Yu. M. (2022) Gig economy: the new opportunities for business digital transformation under high turbulent digital environment. Vestnik Instituta Ekonomiki Rossiyskoy Akademii Nauk (The Bulletin of the Institute of Economics of the Russian Academy of Sciences), 5, pp. 23–46. https://doi.org/10.52180/2073-6487_2022_5_23_46. https://www.elibrary.ru/lxibid.

Alvarez De La Vega, J., Cecchinato, M., Rooksby, J. (2021) «Why Lose Control»? A Study of Freelancers' Experiences with Gig Economy Platforms. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, Yokohama, Japan, May, 455, pp. 1–14. https://doi.org/10.1145/3411764.3445305.

Akhmaeva, L. G. (2024) Promotion of freelance services in the digital environment. Digital sociology, 7 (1), pp. 41–47. https://doi.org/10.26425/2658-347X-2024-7-1-41-47. https://www.elibrary.ru/clegpd.

Ke, T. Tony, Zhu, Yu. (2021) Cheap Talk on Freelance Platforms. Management Science, 67: 5901–20, 45 p. http://dx.doi.org/10.2139/ssrn.3371935.

Wagner, G., Prester, Ju., Pare, G. (2021) Exploring the Boundaries and Processes of Digital Knowledge Platforms: A Review of Information Systems Research. The Journal of Strategic Information Systems, 30 (4), 101694. https://doi.org/10.1016/j.jsis.2021.101694.

Holtz, D. M., Scult, L., Suri, S. (2022) How Much Do Platform Employees Value Feedback? An Experimental Method. Paper presented at the 2022 CHI Conference on Human Factors in Computing Systems. New Orleans, LA, USA, April 28, 71. https://doi.org/10.1145/3491102.3501900.

Polyakova, Yu. M. (2016) Macroeconomic conditions of the crowdsourcing development: multiple regression model. ournal of economy and entrepreneurship, 10-3 (75), pp. 809–811. https://www.elibrary.ru/wxmfsj.

Shevchuk, A. V., Krasilnikova, A. V. (2019) The impact of non-standard workschedules on the work-life balance: the case of the European social survey in Russia. The Journal of social policy studies, 17 (2), pp. 223–236. https://doi.org/10.17323/727-0634-2019-17-2-223-236. https://www.elibrary.ru/smvooj.

Abdreisova, D. Zh., Baitenizov, D. T., Azatbek, T. A., Valieva, S. N. (2021) Freelance market development factors. Economics: the strategy and practice, 16 (4), pp. 188–207. https://doi.org/10.51176/1997-9967-2021-4-188-207. https://www.elibrary.ru/efhchj.

Gupta, V., Fernandez-Creuet, J. M., Gupta Ch., Hanne, T. (2020). Freelancing Models for Fostering Innovation and Problem Solving in Software Startups: An Empirical Comparative Study. Sustainability, 12 (23), 10106. https://doi.org/10.3390/su122310106.

Tse, R., Raghupati, V., Raghupati, V. (2023) Exploring the Influencing Factors of Freelance Hiring on Online Labor Platforms: An Empirical Study. Economies, 11 (3), 80. https://doi.org/10.3390/economy11030080. https://www.elibrary.ru/ghnort.

Tagarov, B. Zh. (2018) Factors of development of the market of freelance in information economy. Creative Economy, 12 (10), pp 1703–1714. https://doi.org/10.18334/ce.12.10.39450. https://www.elibrary.ru/yoffwp.

Strebkov, D. O., Shevchuk, A. V., Spirina, M. O. (2016) Self-employment in the remote work market: diffusion of inno-vative labor practice. The monitoring of public opinion: economic and social changes journal, 6 (136), pp. 88–105. https://doi.org/10.14515/monitoring.2016.6.06. https://www.elibrary.ru/yorvml.

Dunn, M., Fabian, S., Sawyer, S., Munoz, I., Raheja, R., Vaccaro, G., Lehdonvirta, V. (2020) When Motivation Becomes Desperation: Online Freelancing During the COVID-19 Pandemic, pp. 1–32. https://doi.org/10.31235/osf.io/67ptf.

Burke, A., Cowling, M. (2020) The Relationship between Freelance Labor Intensity, Business Performance, and Job Creation. Small Business Economics, 55 (2), pp. 399–413. https://doi.org/10.1007/s11187-019-00241-x.

Polyakova, Yu. M. (2024) Gigonomy in priority industries and fields of the economy: demand for freelancers and crowdsourcers. Intelligence. Innovations. Investments, (2), pp. 33–42. https://doi.org/10.25198/2077-7175-2024-2-33.

Drokina, K. V. (2021) Factors influencing the development of the freelance market in Russia. Vector economy, (3), pp. 1–6. https://doi.org/10.51691/2500-3666_2021_3_8. https://www.elibrary.ru/ntzwye.

Mrachkovsky, A. E., Telyatnikova, T. V., Abdreisova, D. Zh. (2023) Development and application of freelancing in modern conditions. Russian journal of labor economics, 10 (1), pp. 121–134. https://doi.org/10.18334/et.10.1.116985. https://www.elibrary.ru/zgzwuk.

Chechulina, M. Yu. (2016) Freelancing as a developing form of the economic activity modernization. Russian journal of labor economics, 3 (3), pp. 291–306. https://doi.org/10.18334/et.3.3.36892. https://www.elibrary.ru/xhgndh.

Ludanik, M. V., Reshetova, E. I. (2021) Remote work as a possibility of employment formation in conditions of unequal distribution of the population density. Lomonosov economics journal. Seria 6, Ekonomika, (1), pp. 148–167. https://doi.org/10.38050/01300105202117. https://www.elibrary.ru/rtrmsm.

Hudec, I., Tominc, P., Sirec, K. (2021) The Human Capital of the Freelancers and Their Satisfaction with the Quality of Life. Sustainability, (13), 11490. https://doi.org/10.3390/su132011490.

Strebkov, D. O., Shevchuk, A. V. (2015) Work trajectories of self-employed professionals. Universe of Russia, 24 (1), pp. 72–100. https://www.elibrary.ru/tlojzv.

Zolotina, O. A., Chernykh, E. A. (2024) Quality of employment on digital labor platforms: approaches to measurement and assessments for BRICS countries. Living standards of the population in the regions of Russia, 20 (2), pp. 211–227. https://doi.org/10.52180/1999-9836_2024_20_2_6_211_227. https://www.elibrary.ru/gxkabk.

Zolotina, O., Razumova, T., Sotnikov, Ya. et al. (2023) Digital transformation of high-performing teams. Population and Economics, 7 (2), pp. 60–93. https://doi.org/10.3897/popecon.7.e98911. https://www.elibrary.ru/hsoyzi.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Copyright (c) 2025 Management Issues

Received: 26 November 2024 · Revised: 23 February 2025 · Accepted: 19 July 2025