Public Participation in Crowdsourcing Policy Making through Digital Platforms
DOI:
https://doi.org/10.33830/osc.v3i1.7047Keywords:
crowdsourcing, digital participation, e-governance, policy making, public valueAbstract
This study explores public participation in crowdsourced policymaking through digital platforms to enhance inclusiveness, transparency, and accountability in governance. Using a mixed-methods approach, it integrates quantitative survey data with qualitative insights from interviews and focus group discussions. Quantitative analysis examined digital literacy, perceived benefits, ease of use, and participation experiences, while qualitative analysis explored motivations, barriers, and expectations. Results show that respondents generally have high digital literacy and internet access, with positive perceptions of crowdsourcing’s benefits, especially in improving communication with government and promoting transparency. However, trust in the effectiveness of online participation remains moderate due to concerns over data security, inclusivity, and government responsiveness. Although ease of use and willingness to adopt digital platforms are high, participation is still limited by socio-technical and psychological barriers. The study recommends the development of user-friendly and secure platforms with transparent feedback mechanisms, multi-channel accessibility, and strong privacy protections. It emphasizes that successful implementation requires not only technological readiness but also supportive regulations, continuous public outreach, and trust-building efforts. Overall, the research offers both conceptual and practical insights for developing inclusive digital crowdsourcing models suited to the socio-political context of developing countries.
References
[1] V. Lehdonvirta and J. Bright, “Crowdsourcing for Public Policy and Government,” Policy Internet, vol. 7, no. 3, pp. 263–267, Sep. 2015, doi: 10.1002/poi3.103.
[2] A. Taeihagh, “Crowdsourcing: a new tool for policy-making?,” Policy Sci, vol. 50, no. 4, pp. 629–647, Dec. 2017, doi: 10.1007/s11077-017-9303-3.
[3] J. Prpić, A. Taeihagh, and J. Melton, “The Fundamentals of Policy Crowdsourcing,” Policy Internet, vol. 7, no. 3, pp. 340–361, Sep. 2015, doi: 10.1002/poi3.102.
[4] T. Aitamurto and H. Landemore, “Crowdsourced deliberation: The case of the law on off‐road traffic in Finland,” Policy Internet, vol. 8, no. 2, pp. 174–196, 2016.
[5] T. Nam, “Suggesting frameworks of citizen-sourcing via Government,” Gov Inf Q, vol. 29, no. 1, pp. 12–20, 2012.
[6] A. R. Vargas-Murillo, I. N. M. De La Asuncion Pari-Bedoya, C. A. Delgado-Chávez, E. Menacho Taipe, C. K. Reyes Cuba, and L. C. Polo Chavarri, “The Role of ICT in Collaborative Creation of Public Policies: Crowdsourcing Policymaking,” in 2024 International Conference on Inventive Computation Technologies (ICICT), IEEE, Apr. 2024, pp. 1704–1708. doi: 10.1109/ICICT60155.2024.10544427.
[7] K. M. Rest, “The Public Policymaking Process and the Power of Participation,” in Climate Change and Public Health, Oxford University PressNew York, 2024, pp. 225–250. doi: 10.1093/oso/9780197683293.003.0011.
[8] T. D. LaToza, “Crowdsourcing in Software Engineering: Models, Motivations, and Challenges,” in 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP), IEEE, May 2019, pp. 301–301. doi: 10.1109/ICSE-SEIP.2019.00043.
[9] Y. Oubaydallah, K. Ibrahimi, and Y. Larabi, “Crowdsourcing: Modeling Techniques and Comprehensive Studies,” in 2024 7th International Conference on Advanced Communication Technologies and Networking (CommNet), IEEE, Dec. 2024, pp. 1–7. doi: 10.1109/CommNet63022.2024.10793353.
[10] T. B. Dewantoro, L. Edi Nugroho, and A. E. Permanasari, “Implementing Crowdsourcing in Smart Government: An IT Perspective Review,” in 2024 International Electronics Symposium (IES), IEEE, Aug. 2024, pp. 329–334. doi: 10.1109/IES63037.2024.10665848.
[11] J. Howe, “The rise of crowdsourcing,” Wired Magazine, vol. 14, no. 6, pp. 1–4, 2006.
[12] D. C. Brabham, Crowdsourcing. MIT Press, 2013.
[13] D. C. Brabham, “Crowdsourcing the public participation process for planning projects,” Planning Theory, vol. 8, pp. 242–262, 2009.
[14] A. Taeihagh, “Crowdsourcing: a new tool for policy-making? Policy Sciences,” Crowdsourcing: a new tool for policy-making? Policy Sciences, vol. 50, no. 4, pp. 629–647, 2017.
[15] K. Pešek, J. Vojtek, and L. Kutěj, “Crowdsourcing as an Element of Strategic-Operational Intelligence. How NATO Used it and Changed the Game,” Vojenské rozhledy, vol. 33, no. 1, pp. 84–104, Mar. 2024, doi: 10.3849/2336-2995.33.2024.01.084-104.
[16] D. Stead, “Conceptualizing the Policy Tools of Spatial Planning,” J Plan Lit, vol. 36, no. 3, pp. 297–311, Aug. 2021, doi: 10.1177/0885412221992283.
[17] A. Mauri, A. Tocchetti, L. Corti, Y. C. Hsu, H. Verma, and M. Brambilla, “COCTEAU: an Empathy-Based Tool for Decision-Making,” in WWW 2022 - Companion Proceedings of the Web Conference 2022, Association for Computing Machinery, Inc, Aug. 2022, pp. 219–222. doi: 10.1145/3487553.3524233.
[18] S. P. Osborne, Public Service Logic. Routledge, 2020. doi: 10.4324/9781003009153.
[19] O. V. Shcherbaniuk, “‘Democracy of participation’ of the people in legislative processes: international experience,” Legal Novels, no. 20, pp. 172–176, 2023, doi: 10.32782/ln.2023.20.24.
[20] V. Valtenbergs, “From online participation to policy making: Exploring the success behind Latvian legislative crowdsourcing platform MyVoice,” in Engaging Citizens in Policy Making, Edward Elgar Publishing, 2022. doi: 10.4337/9781800374362.00015.
[21] I. Mergel, “Open innovation in the public sector: drivers and barriers for the adoption of Challenge.gov,” Public Management Review, vol. 20, no. 5, pp. 726–745, May 2018, doi: 10.1080/14719037.2017.1320044.
[22] I. Santé, A. Fernández-Ríos, J. M. Tubío, F. García-Fernández, E. Farkova, and D. Miranda, “The Landscape Inventory of Galicia (NW Spain): GIS-web and public participation for landscape planning,” Landsc Res, vol. 44, no. 2, pp. 212–240, Feb. 2019, doi: 10.1080/01426397.2018.1444155.
[23] T. Yildirim and D. Özturk, “A Mixed-Method Research on Digital Literacy of Middle School Students,” International Journal of Education and Literacy Studies, vol. 11, no. 2, pp. 70–86, Apr. 2023, doi: 10.7575/aiac.ijels.v.11n.2p.70.
[24] T. A. Malapane and N. K. Ndlovu, “Assessing the Reliability of Likert Scale Statements in an E-Commerce Quantitative Study: A Cronbach Alpha Analysis Using SPSS Statistics,” in 2024 Systems and Information Engineering Design Symposium (SIEDS), IEEE, May 2024, pp. 90–95. doi: 10.1109/SIEDS61124.2024.10534753.
[25] J. W. Creswell and J. D. Creswell, Research Design : Qualitative, Quantitative and Mix Methods Approaches, 5th ed. California: Sage Publications, 2018.
[26] R. Huang, C. Wang, X. Zhang, D. Wu, and Q. Xie, “Design, develop and evaluate an open government data platform: a user-centred approach,” The Electronic Library, vol. 37, no. 3, pp. 550–562, Jun. 2019, doi: 10.1108/EL-02-2019-0037.
[27] A. Barker, “Navigating Life: A Taxonomy of Wayfinding Behaviours,” Journal of Navigation, vol. 72, no. 3, pp. 539–554, May 2019, doi: 10.1017/S0373463319000043.
[28] M. Prensky, “Digital Natives, Digital Immigrants Part 1,” On the Horizon, vol. 9, no. 5, pp. 1–6, Sep. 2001, doi: 10.1108/10748120110424816.
[29] A. Fung, “Varieties of Participation in Complex Governance,” Public Adm Rev, vol. 66, no. s1, pp. 66–75, Dec. 2006, doi: 10.1111/j.1540-6210.2006.00667.x.
[30] S. Chadwick, “From outside lane to inside track: sport management research in the twenty‐first century,” Management Decision, vol. 47, no. 1, pp. 191–203, Feb. 2009, doi: 10.1108/00251740910929786.
Downloads
Published
Conference Proceedings Volume
Section
License
Copyright (c) 2025 Sukardi Sukardi, Chandra Dinata, Listanto Tri Utomo, Akbar Pandu Dwinugraha, Ahmad Luthfi, I Made Arie Widhiastana Putra
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
