Harnessing Blockchain for Transparent Public Policy Feedback and Accountability

Thesis Abstract

Public policy processes increasingly hinge on inclusive participation and verifiable governance, yet tokenistic engagement and opaque decision-making undermine accountability and trust in the use of public resources. This study addresses the gap between citizen feedback and policy implementation by examining how blockchain-enabled platforms can enhance transparency, traceability, and user trust in public policy feedback mechanisms. The aim is to evaluate whether a blockchain-based feedback and accountability system can improve perceived responsiveness, reduce information asymmetry, and strengthen oversight in policy cycles. Specific objectives are (1) to design a prototype blockchain platform that records citizen inputs, policy proposals, and decision outcomes with immutable audit trails; (2) to assess stakeholders’ acceptance, perceived legitimacy, and willingness to participate in a blockchain-enabled feedback loop; (3) to quantify the relationship between platform transparency and citizens’ trust, engagement, and willingness to hold policymakers accountable; (4) to analyze how governance rules and smart-contract incentives influence the quality and timeliness of policy refinements; and (5) to generate policy recommendations for scalable deployment in multi-tier governance contexts. The study adopts a mixed-methods design combining a quasi-experimental field trial with a comparative case study approach. The population comprises residents and local government officials in two metropolitan municipalities with ongoing public policy reforms. A purposive sample of 600 residents, stratified by age, income, and education, will be invited to use the blockchain platform over a 12-month period, with 450 completing post-intervention surveys and 60 focus group participants. Additionally, 40 policymakers and administrators across departments will participate in semi-structured interviews. Data collection instruments include a calibrated online survey measuring perceived transparency, trust, participation intention, and policy satisfaction; platform analytics capturing interaction metrics, submission latency, and update frequencies; and interview guides exploring governance practices and perceived accountability. Validity and reliability will be ensured through pilot testing (n=50), Cronbach’s alpha assessments for multi-item scales (target ? ? 0.70), and triangulation across survey, platform data, and interview transcripts. Analytical techniques encompass both quantitative and qualitative methods. Descriptive statistics will outline baseline characteristics and engagement patterns. Inferential analysis employs multiple regression to test the association between platform transparency (operationalized via immutable audit trails and real-time policy updates) and trust and engagement metrics, controlling for demographic covariates. A difference-in-differences approach will compare changes in perceived responsiveness before and after platform use between intervention and control municipalities. For qualitative data, thematic analysis following Braun and Clarke will identify recurring motifs related to accountability, legitimacy, and governance challenges, with coding conducted by two independent researchers to ensure reliability (inter-coder agreement ? ? 0.80). Where applicable, structural equation modeling will test the theoretical pathways linking transparency, trust, participation, and accountability outcomes. Ethical considerations include informed consent, data anonymization, and compliance with data protection regulations, with a research ethics approval secured from the university. Expected findings anticipate that blockchain-enabled feedback platforms will significantly increase perceived transparency and trust, elevate citizen participation rates, and shorten policy iteration cycles due to enhanced traceability and immutable records. It is expected that governance rules embedded in smart contracts will positively influence the quality of citizen proposals and the speed of policy refinements, though potential friction due to digital divide and governance inertia may arise. The study will contribute to knowledge by articulating a rigorous empirical assessment of blockchain’s role in governance transparency and accountability, integrating theories of legitimacy (Suchman) and technology-enabled transparency (Cain, C. et al.) with stakeholder theory and public value creation. The practical implications include a scalable blueprint for implementing blockchain-based feedback loops in multi-jurisdictional settings, with recommendations on governance design, incentive structures, data governance, and citizen onboarding strategies. The main conclusion posits that while blockchain alone does not guarantee accountability, its integration with participatory design and clear governance rules substantially enhances transparency, trust, and policy responsiveness. Recommendations emphasize phased deployment, inclusive digital literacy initiatives, robust governance audits, and continuous evaluation to ensure equitable access and sustained legitimacy.