Jul 2026· Frontiers in Research Metrics and Analytics· Vol 11· 0 citations· 61 references
Medicine
TL;DR
A critical realist qualitative methods protocol for transparent institutional mechanism tracing in high-stakes digital governance is developed and contributes an operationally explicit, reviewable, and ethically safeguarded route from qualitative evidence to institutional explanation.
Abstract
Digital governance research often identifies what digital systems do but less frequently explains how institutions make those systems governable under legal, organizational, political, and public scrutiny. This methodological problem is especially consequential in election administration, where digital records and platforms affect voting rights, political eligibility, logistics, public information, and the credibility of results. Existing technical audits, adoption studies, maturity assessments, usability evaluations, and trust surveys provide important evidence, but they rarely make the institutional route from records and actor accounts to mechanism-based explanation fully inspectable. This article develops a critical realist qualitative methods protocol for transparent institutional mechanism tracing in high-stakes digital governance. The protocol is not a general framework for all qualitative data analysis; it is specifically designed to reconstruct how organizational capacities are translated into validation, correction, coordination, escalation, auditability, explanation, accountability, and institutional learning. An electoral management body is treated as the main case, while voter data, party and candidate verification, logistics, and results publication constitute embedded analytical arenas. The operational workflow integrates purposive and functionally stratified sampling, process-oriented interviews, document mapping, abductive and mechanism-oriented coding, cross-arena matrices, evidence-strength decisions, rival-explanation assessment, negative-case analysis, audit trails, expert validation, positionality documentation, and tiered transparency. A bounded pilot vignette using publicly available documents from Indonesia's 2024 electoral administration demonstrates how regulatory evidence and institutional explanations can be transformed into action codes, matrix entries, and an evidence-graded candidate mechanism. The protocol contributes an operationally explicit, reviewable, and ethically safeguarded route from qualitative evidence to institutional explanation.
This conceptual paper aims to examine information security policy (ISP) in Brazilian state legislative assemblies as a formal document that may operate as an institutional governance device and, under specific conditions, become a governance capability.
The paper integrates sociological institutionalism, network governance and state-capacity perspectives, in dialogue with governance-oriented information security scholarship, to theorize the conditions under which ISP may become institutionalized.
It develops the tridimensional model of legislative information governance (MTGIL), structured around institutional legitimacy, cross-functional coordination and political-administrative capacity and proposes three ideal-type configurations: symbolic compliance, institutional transition and substantive governance. Five testable propositions are derived.
MTGIL is conceptual and untested. Its propositions, profile classifications and portability beyond Brazilian state legislative assemblies require comparative validation.
MTGIL offers legislative organizations a diagnostic lens for comparing formal ISP adoption with observable evidence of sponsorship, cross-functional routines, reporting channels, training uptake and continuity mechanisms, thereby informing policy redesign, coordination and continuity planning.
By treating ISP as a governance capability, the paper suggests how legislative organizations may diagnose vulnerabilities affecting citizens’ data rights, democratic accountability and the transparency-confidentiality balance.
The paper distinguishes ISP as a formal document, an institutional governance device and a potential governance capability. MTGIL theorizes why similar policy documents, control frameworks or compliance scores may follow different institutionalization trajectories when legitimacy, coordination and capacity are configured differently.
Elias Amaral dos Santos, Gabriel Oscar Cremona Parma· Transforming Government: Peo...· 0 citations
Digital technologies are now embedded across electoral administration, including voter registration, biometric identification, electronic voting, results transmission, cybersecurity, and election information systems. Their democratic value depends on whether electoral management bodies can govern them credibly. This review examines how organizational capacity is related to institutional credibility in digital electoral reform and clarifies the institutional conditions under which digital systems become trustworthy, auditable, accountable, and publicly intelligible.
The review question was structured using a PICOS framework, and the review followed PRISMA 2020. Searches were conducted in Scopus and Web of Science for English-language peer-reviewed articles and reviews published between 2010 and 2025. After deduplication, screening, and eligibility assessment, 140 studies were included. The review applied structured data extraction, study quality appraisal, framework synthesis, and thematic synthesis. A meta-analysis was not undertaken because the corpus was heterogeneous in design, country context, technology type, institutional setting, and outcome definition.
The synthesis shows that digital electoral reform is an institutional governance challenge. The reviewed literature links credible implementation to technical capacity, data governance, cybersecurity, auditability, legal-regulatory authority, human resources, procurement and vendor oversight, coordination, and public communication. Digital systems can strengthen electoral integrity when they improve accuracy, inclusion, verification, traceability, and transparency, but they may weaken legitimacy when they generate opacity, exclusion, system failure, data error, cyber vulnerability, vendor dependence, or distrust.
The review advances the capacity-credibility perspective as an interpretive framework rather than a causal model. Institutional credibility is produced not by technology adoption alone, but by the ability of electoral institutions to make digital procedures secure, auditable, accountable, inclusive, correctable, and publicly intelligible.
A. Hidayat, Nina Karlina, Ramadhan Pancasilawan et al.· Frontiers in Political Scien...· 2 citations
The findings show that digital governance has shifted regional budgeting from fragmented arrangements toward a more integrated and standardized ecosystem, improving procedural effectiveness and transparency, while substantive weaknesses remain in data quality, validation, audit trails, evaluation tracking, and interoperability.
Rino Rio Kent, Triyuni Soemartono, Pandji Sukmana et al.· Siber Journal of Advanced M...· 0 citations
This study examines the reconstruction of public accountability in evidence management within law enforcement institutions through a relational–systemic governance perspective. The study employs a qualitative case study approach conducted at the Public Prosecutor’s Office of Palembang. Data were collected through in-depth interviews, observation, and document analysis involving prosecutors, evidence officers, administrative personnel, and institutional supervisors directly engaged in evidence management processes. The analysis focused on four principal accountability dimensions consisting of actors, objects, forums, and interaction mechanisms. The results reveal that accountability practices in evidence management remain predominantly procedural, hierarchical, and compliance-oriented. Accountability mechanisms mainly emphasize administrative reporting, inventory control, and procedural conformity, while broader dimensions such as transparency, public trust, collaborative governance, responsiveness, and organizational learning have not yet been optimally integrated. The findings further show that fragmented coordination among institutional actors, limited participatory accountability forums, and rigid bureaucratic communication mechanisms weaken accountability effectiveness and reduce institutional adaptability. This study develops the Relational–Systemic Accountability Model Based on Public Service (ARS–PP Model), which integrates collaborative institutional responsibility, public value orientation, participatory accountability forums, and adaptive interaction mechanisms into a unified accountability framework. The findings suggest that accountability effectiveness in evidence management depends on institutional integration, collaborative governance capacity, adaptive coordination systems, and public-oriented governance transformation.
W. Setiawan, A. Lionardo, Alfitri et al.· Daengku Journal of Humanitie...· 0 citations
Digital technologies now shape electoral administration across voter registration, candidate management, voting, results transmission, auditing, and public communication. Their performance, however, does not by itself determine who has authority to operate a system, inspect electoral evidence, correct errors, or account for failure. Existing research has identified important capacities within electoral management bodies, but it says less about how those capacities are used in particular electoral procedures.
Conceptual analysis was used to clarify the relationship between organizational capacity, institutional action, governance conditions, contextual pressures, risk dynamics, and broader democratic consequences. Ten capacity domains identified in an earlier systematic review were regrouped according to their main institutional functions.
Four capacity configurations emerged from the reconstruction: operational, information-assurance, institutional-authority, and relational-governance capacity. These capacities are used through seven institutional processes—authorization, standardization, coordination, safeguarding, verification, correction, and disclosure. Their use may support eight observable governance conditions: institutional control, procedural assurance, verifiability, correctability, contestability, operational resilience, public intelligibility, and institutional answerability. Institutional learning is treated separately as a feedback process through which documented experience leads to changes in later capacity and practice.
The proposed framework helps distinguish four sources of institutional weakness: insufficient capacity, failure to mobilize available capacity, failure to establish adequate governance conditions, and constraints that lie partly outside an electoral management body’s control. Its main value is diagnostic and comparative rather than causal. Electoral integrity, credibility, trust, legitimacy, and acceptance of results remain broader consequences influenced by political and informational conditions.
A. Hidayat, Nina Karlina, Ramadhan Pancasilawan et al.· Frontiers in Political Scien...· 0 citations
Organizations measure financial results, operational performance, safety, project delivery and compliance with considerable precision, yet the leadership conduct shaping those outcomes is often governed through reputation, seniority, charisma or self-description. This conceptual synthesis develops an integrated governance architecture for measuring, auditing, visualizing, developing and institutionalizing conscious leadership through the Total Leadership Index (TLI). It positions the TLI alongside transformational, authentic, ethical, servant and leadership-capital traditions while defining a distinct contribution: an evidence-governed architecture for observable conduct under pressure. At its centre is a proposed 100-point executive maturity construct comprising four equally weighted pillars—Decision Stillness; Timing and Sequence Discipline; Structured Reflection and Root-Cause Honesty; and Governed Speech with Institutional Consequence—linked to protected 360-degree evidence, behavioural rubrics, evidence-confidence ratings, non-compensatory red flags, ethical dashboards, simulation-based development, conditional certification and institutional renewal. The framework is not presented as a validated personality test, popularity ranking or automated decision engine. Its empirical programme specifies expert content validation, cognitive interviewing, exploratory and confirmatory factor analysis, internal-consistency and inter-rater reliability, convergent, discriminant, criterion and incremental validity, measurement-invariance testing, predictive validation and longitudinal intervention studies. AI-assisted analytics are restricted to transparent decision support under privacy, fairness, auditability and human-review controls. The article contributes a comparative theoretical positioning, a simplified evidence-to-action governance loop, a practical implementation blueprint and testable propositions while making no unverified claim of reliability, validity, fairness or causal effect.
Alok Kumar Bhargava, Sonali Sneha· International journal of res...· 0 citations
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