Crowdsourcing labor regulation
-
Author(s)Oksana PoplavskaLink to ORCID Index: https://orcid.org/0000-0001-9538-3718
,
Andriy FedorchenkoLink to ORCID Index: https://orcid.org/0000-0001-5133-1908
,
Halyna KuzmenkoLink to ORCID Index: https://orcid.org/0000-0003-2792-1320
-
DOIhttp://dx.doi.org/10.21511/slrtp.11(2).2021.03
-
Article InfoVolume 11 2021, Issue #2, pp. 26-36
- Cited by
- 238 Views
-
86 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
The relevance of the study is due to the spread of atypical forms of staff involvement in the work and the need to rethink the content of social and labor relations, implemented in cyberspace, the need to develop adequate to modern realities regulations of labor organization. The purpose of the study is to develop best practices in the organization of labor activities of employees engaged in crowdsourcing and to develop recommendations for regulating such work in accordance with Ukrainian legislation. The methodological basis of the study is formed by theories of self-organization of socio-economic systems, modern concepts of management and project management, the concept of decent work, the theory of social responsibility. Analysis of the achievements of domestic and foreign scientists in the field of labor organization, development of social and labor relations showed that despite the positive aspects of crowdsourcing remains many unresolved issues, including high risks of fraud, low liability, lack of social protection and more. The results of the study are aimed at overcoming these barriers by implementing the author’s regulations on the organization of work under crowdsourcing, which, in contrast to the existing ones, distinguishes three main employment clusters on the platforms; Crowdsourcing is analyzed in two planes (the grouping was based on the criterion of transaction costs (contract theory), namely as a specific form of organization and conduct of business and as a form of social contract between the state and community, business and society. immanent to the needs of today and take into account the variability of the ecosystem of the modern labor market, filled with qualitatively new content that meets the criterion of adaptability and takes into account modern best practices in organizing the work of crowdworkers.
- Keywords
-
JEL Classification (Paper profile tab)D29, J29, J42
-
References23
-
Tables1
-
Figures3
-
- Figure 1. Принципова схема регламенту роботи з експертами
- Figure 2. Технологія організації роботи за умов краудсорсингу під час виконання гіг контрактів
- Figure 3. Регламент роботи щодо визначення громадської думки (безоплатна громадська / волонтерська робота), реалізації соціальних ініціатив
-
- Table 1. Аналіз відповідності норм закону України «Про стимулювання розвитку цифрової економіки в Україні» ознакам трудових відносин
-
- Afuah, A., & Tucci, C. (2012). Crowdsourcing as a Solution to Distant Search. Academy of Management Review, 37(3), 355–375.
- Aleksynska, M., Bastrakova, A., & Kharchenko, N. (2018). Work on Digital Labour Platforms in Ukraine: Issues and Policy Perspectives (64 p.). ILO.
- Barnes, S-A., Green, A., & de Hoyos, M. (2015). Crowdsourcing and work: individual factors and circumstances influencing employability. New Technology, Work and Employment, 30(1), 16–31.
- Berg, J., Furrer, M., Rani, U., Harmon, E., & Silberman, M. (2018). Digital Labour Platforms and the Future of Work: Towards Decent Work in the Online World. ILO.
- Brabham, D. (2008). Crowdsourcing as a model for problem solving: An introduction and cases. Convergence, 14(1), 75‒90.
- Chen, M. (2017). Could a global living wage put an end to corporations’ “race to the bottom”? The Nation.
- Estelles-Arolas, E., & Gonzalez-Ladron-de-Guevara, F. (2012). Towards an integrated crowdsourcing definition. Journal of Information Science, 38(2), 189–200.
- Gurumurthy, A., Bharthur, D., Chami, N., Vipra, J., & Anwar, A. (2019). Platform Planet: Development in the Intelligence Economy (104 p.). IT for Change.
- Gurumurthy, A., Chami, N., & Bharthur, D. (2021). Platform labour in search of value. A study of workers’ organizing practices and business models in the digital economy. ILO.
- Hara, K., Adams, A., Milland, K., Savage, S., & Callison-burch, C. (2018). A data-driven analysis of workers’ earnings on amazon mechanical turk (pp. 1–14). CHI’18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. New York: ACM.
- Hildebrand, M., Ahumada, C., & Watson, S. (2013). CrowdOutAIDS: Crowdsourcing youth perspectives for action. Reproductive Health Matters. 21(41), 57‒68.
- Payal, A., & Thompson, L. (2018). Crowdsourcing as a Platform for Digital Labor Unions. International Journal of Communication, 12, 2314–2332.
- Poltorak, K., & Zozulov, O. (2019). Use of crowd-technologies in marketing activities of enterprises. Economic Bulletin of NTUU «KPI», 1, 422–430. (In Ukrainian).
- Poplavska, O., Danylevych, N., Rudakova, S., & Shchetinina, L. (2021). Distance technologies in sustainable education: The case of Ukraine during the coronavirus pandemic. E3S Web Conf, 255, 01040.
- PRAVO (2021). KAS VS poiasnyv, yak vidmezhuvaty trudovi vidnosyny vid tsyvilno-pravovykh [CAS Supreme Court explained how to distinguish labor relations from civil law]. (In Ukrainian).
- Prpić, J., Taeihagh, A., & Melton, J. (2015). The fundamentals of policy crowdsourcing. Policy & Internet, 7(3), 340‒361.
- Risak, M. (2017). Fair Working Conditions for Platform Workers: Possible Regulatory Approaches at the EU Level. Friedrich-Ebert-Stiftung.
- Saxton, G., Oh, O., & Kishore, R. (2013). Rules of Crowdsourcing: Models, Issues, and Systems of Control. Information Systems Management, 30, 2–20
- Schulte, J., Schlicher, K., & Maier, G. (2020). Working everywhere and every time?—Chances and risks in crowdworking and crowdsourcing work design. Gruppe. Interaktion. Organisation, 51, 59–69.
- Schweitzer, F., Buchinger, W., Gassmann, O., & Obrist, M. (2012). Crowdsourcing: Leveraging innovation through online idea competitions. Research-Technology Management, 55(3), 32‒38.
- Verkhovna Rada of Ukraine (2021). Zakon Ukrainy “Pro stymuliuvannia rozvytku tsyfrovoi ekonomiky v Ukraini” [Law of Ukraine “On Stimulating the Development of the Digital Economy in Ukraine”]. (In Ukrainian).
- Wang, Y., Papangelis, K., & Saker M., etc. (2020). Crowdsourcing in China: Exploring the Work Experiences of Solo Crowdworkers and Crowdfarm Workers. CHI ‘20: CHI Conference on Human Factors in Computing Systems.
- Zuchowski, O., Posegga, O., Schlagwein, D., & Fischbach, K. (2016). Internal crowdsourcing: Conceptual framework, structured review, and research agenda. Journal of Information Technology, 31(2), 166‒184.
-
Marketing fortification of business through crowdsourcing and social responsibility: focus on South African SMEs
Environmental Economics Volume 8, 2017 Issue #1 pp. 18-25 Views: 1089 Downloads: 251 TO CITE АНОТАЦІЯThis paper investigates networking and related activities for marketing performance of small and medium enterprises (SMEs) for the sustainable development and the preservation of the environment. These SMEs have limited business skills and knowledge, and don`t have any marketing funds. As a clearly growing trend aspect in business, networking approaches were blended to find approaches to help these SMEs to take their market niche. Thirty-seven (37) SMEs were used as a convenience sample to experiment with the concepts. They were investigated on what could optimize marketing results and what could offset marketing benefits. The paper finds out that networking provides effective marketing when is modeled under crowdsourcing. Options for crowdsourcing could also involve local organizations in the marketing networks. SMEs should document their activities for proper accountability and transparency. They should also use incentives to volunteers and crowdsourcing participants by giving them shares and be proactive in their approaches. Further, SME practitioners should require them to learn business skills.
-
Crowdsourcing capabilities: fueling new products? How firm size and business type matter
Muhammad Dharma Tuah Putra Nasution ,
Pipit Buana Sari ,
Henry Aspan ,
Yossie Rossanty ,
Irawan Irawan
doi: http://dx.doi.org/10.21511/im.20(2).2024.16
Innovative Marketing Volume 20, 2024 Issue #2 pp. 193-203 Views: 310 Downloads: 286 TO CITE АНОТАЦІЯCrowdsourcing has emerged as a valuable tool for organizations seeking to access external knowledge and resources for their innovation processes. This study aims to investigate crowdsourcing capabilities in the context of new product development initiatives, with a focus on exploring the moderating effects of firm size and type. Structural Equation Modeling using Partial Least Squares (SEM-PLS) is used to analyze both the measurement and structural models, with data drawn from 217 owners and managers of diverse businesses in Indonesia. These businesses range from small to medium-scale enterprises across various types, including cafes, restaurants, fashion, culinary, and furniture. The findings reveal a positive and significant impact of crowdsourcing capabilities on new product development initiatives (β = 0.746, p = 0.000). Moreover, the relationship between crowdsourcing and new product development is moderated by firm size (whether small or medium) (β = 0.103, p = 0.045) and the type of business (β = 0.157, p = 0.012). The outcomes of this study are anticipated to enrich the body of knowledge and provide valuable guidance for enterprises seeking to harness crowdsourcing in their new product development processes, with specific factors like firm size and type taken into account.
Acknowledgment
This study was supported by the Indonesian Ministry of Education, Culture, and Technology Research in 2022: Research Grant Scheme “PDUPT”No. 124/LL1/LT/K/2022.
